The following definition of “option” is given in Wikipedia - “In finance, an option is a contract, which gives the buyer (the owner or holder) the right, but not the obligation, to buy or sell an underlying asset or instrument at a specified strike price on or before a specified date, depending on the form of the option” (“Option,” n.d.). Option as a risk management (mitigation) tool is broadly used in finance and trade. At the same time, it introduces asymmetry in the sense that, probabilistically, it limits the level of losses (e.g., the price of the option) and allows for unlimited gains. In the market of sophisticated devices (as smart phones, tablets, etc.), where technologies are rapidly advancing, customers usually do not have the experience to use all features of the device at the time of the purchase. Due to the lack of appropriate expertise, the risk of misinforming, leading to not purchasing the “right” device is high, but given enough time to learn the capabilities of the device and map these to the needs and tasks that device will be used for, could provide the client with substantial long term benefits. Warranty of misinforming is a mechanism that provides the client with the opportunity to explore the device and master its features under limited risk of financial losses. Thus, the warranty of misinforming could be considered as an option - the custom-ers buy it (at a fixed cost) and may gain (theoretically) unlimited benefit by realizing (within the terms of the warranty) that the device can be used to solve a variety of problems not envisaged at the time of purchase. In this study we present the idea of treating the warranty of misinforming as an option in finances and provide examples to illustrate our viewpoint.

As the complexity of a system grows, the challenge of informing the stakeholders of that system grows correspondingly. Nowhere is that challenge more daunting than in business education, where globalization, technological innovation, and increasingly complicated regulations continuously transform the business environment facing graduates and practitioners. Informing science theory proposes that different levels of complexity require different channels if effective informing is to be achieved. The paper first examines how two important sources of complexity—the diversity of clients and the ruggedness of the business landscape—are changing, and how these changes demand vastly more interactive informing channels if impact is to be achieved. Using an exploratory case study methodology, it then takes a detailed look at how one institution—the University of South Florida’s Muma College of Business—has introduced a variety of new channels, many of which enable informing flows without necessarily directing them, to adapt to these environmental changes. It then considers both outcomes related to these individual informing channels and college-wide outcomes related to a broad and deep mosaic of informing flows. Finally, it considers the question of the resources required to support these new channels and the relationship between resource acquisition and channel introduction. The proposed framework for looking at business school informing channels can be applied by administrators, faculty members, and key stakeholders in understanding, evaluating, and planning programs and activities supporting informing in a complex environment. Ultimately, the informing business school framework may also provide a means for communicating impact to business school accrediting agencies (such as AACSB).

Aim/Purpose: This study aims to provide a better understanding of individual acceptance of enterprise resource (ERP) systems. Based on the uses and gratifications theory (UGT) and informing science theory, the study developed and empirically tested a research model to explain the effects of ERP characteristics (specifically, informativeness and enjoyment) on ERP acceptance and use. Background: Individual acceptance of ERP systems is crucial for achieving the benefits associated with ERP systems. Unfortunately, little research has focused on acceptance of ERP systems at the individual level. This study attempts to fill this void. Methodology: A survey questionnaire was distributed to ERP users to collect data to empiri-cally test the research model developed in this study. In addition to demographic and background information question, the survey contained instruments to measure the study variables. Contribution: The empirical results show that UGT provides a sound theoretical framework for explaining users’ gratifications, attitudes, and behavioral intentions toward adopting and using an ERP. These results support the view that subsumes information systems and other fields that endeavor to inform their audience. Findings: Individuals’ perceptions of the informativeness and entertainment of ERP systems demonstrated strong direct effects on attitude toward using and satisfaction with ERP systems. In turn, satisfaction with ERP systems showed a direct significant impact on intention to use an ERP system. Recommendations for Practitioners: Maintaining a favorable environment and designing training workshops that highlight the information and enjoyment aspects of an ERP can boost users’ perceptions of ERP informativeness and enjoyment and, eventually, improve their attitude and satisfaction with an ERP. Recommendation for Researchers: Researchers should test the proposed research model with other types of ERP systems and in different environments to enhance the generalizability of the results to other systems and settings. Impact on Society: The results of is study can be used as a foundation on which to develop plans and design strategies to enhance individual acceptance of ERP systems and realize the benefits associated with these systems. Future Research: Future research should extend the research model by integrating other personal and technology variables to provide further insights into what influences individuals to accept or reject an ERP system.

Aim/Purpose: Climate change mitigation is a global challenge, in which academia and business have a role to play. This research explores ways to develop a freely-available information system that would enable small businesses to identify and reduce their environmental footprint. Background: While large organizations have the resources to track emissions and other pertinent data, small businesses may not, despite intentions to be more environmentally responsible. Freely available applications to track emissions focus on the carbon footprint of things, whereas activities are a more meaningful unit of analysis for business managers. Methodology: Using a design science research approach, we conducted a study of a collaborative project that investigated how a low-cost, freely-available online wiki could be developed by group of students, under the guidance of university scholars and business owners. In the project, different student groups were tasked to create the wiki, input content and design a dashboard interface for managers to find data relevant to their business. The research takes an information systems view of the project, relying on the holistic notion of activity from activity theory and taking a design science approach to the study. Contribution: The paper contributes to the practices of green information systems, climate change, and small business. Theoretically it provides new insights into the linear view of design science in resource poor, collaborative projects. Findings: The research demonstrates the viability of an online system to track the envi-ronmental footprint of business activities. It reveals the challenges from a design science perspective of attempts to create online systems using freely available products and labor. Recommendations for Practitioners: Meaningful information systems to assist small businesses to manage their environmental footprint should focus on activities not things, be low cost and easy to use. Recommendation for Researchers: Complex nonlinear design science frameworks may be needed to build community-based green information systems projects. Impact on Society: This paper examines the role that university-community partnerships can play in mitigating climate change. Future Research: We should now investigate ways to ensure the viability and sustainability of systems developed by groups of university students.

Aim/Purpose: In the light of the recent attention to the role of social media in the dissemination of fake news, it is important to understand the relationship between the characteristics of the social media content and re-sharing behavior. This study seeks to examine individual level antecedents of information re-sharing behavior including individual beliefs about the quality of information available on social network sites (SNSs), attitude towards SNS use and risk perceptions and attitudes. Methodology: Testing the research model by data collected through surveys that were adminis-tered to test the research model. Data was collected from undergraduate students in a public university in the US. Contribution: This study contributes to theory in Information Systems by addressing the issue of information quality in the context of information re-sharing on social media. This study has important practical implications for SNS users and providers alike. Ensuring that information available on SNS is of high quality is critical to maintaining a healthy user base. Findings: Results indicate that attitude toward using SNSs and intention to re-share infor-mation on SNSs is influenced by perceived information quality (enjoyment, rele-vance, and reliability). Also, risk-taking propensity and enjoyment influence the intention to re-share information on SNSs in a positive direction. Future Research: In the dynamic context of SNSs, the role played by quality of information is changing. Understanding changes in quality of information by conducting longitudinal studies and experiments and including the role of habits is necessary.

Aim/Purpose: Professional companies selling persuasive-communication services via the World Wide Web need to be exemplars of effective informing practices. Their credibility is at risk if their websites do not excel in marketing message and use of medium. Their unique brands need to be expressed through website technology and content, or they cannot compete successfully. Background: Compares marketing communication consultants’ websites with expert criteria. Methodology: Content analysis of 40 advertising agency websites. Contribution: Links an evaluation of advertising agency compliance with expert website criteria to established branding constructs. Findings: Most small advertising agencies could improve their brand reputations through better compliance with experts’ recommended website design and content criteria. Recommendations for Practitioners: A hierarchy of recommendations for practitioners is offered, addressing ease and importance. Impact on Society: Clarity and credibility of message and medium improve our ability to practice effective informing. Future Research: Explore online communications of specialized populations such as digital marketing experts.

Aim/Purpose: The media and research have made significant noise about young people’s addictions to technology, however the American Psychological Association (APA) has reserved judgment on the clinical diagnosis of technology addiction. Research to understand technology addiction is important to the future of information systems development and behavioral usage understanding. Background: Addiction implies that there is a problem from which an IS client needs to try to recover, further implying a negative impact on life. Multiple defini-tions and outcomes of addictions have been studied in the information systems discipline, with virtually no focus on quality of life of the IS client. Methodology: This research employs a survey of students at a large southwestern United States university. Measures were adopted from previously validated sources. The final sample includes 413 usable responses analyzed using PLS. Contribution: This research broadens theoretical and practical understanding of SNS IS client perceptions by relating technology addiction to a broader impact on an individual’s life. By doing so, it provides guidance on society’s understanding of frequent technology use, as well as the development of new systems that are highly used. Findings: This research indicates diminished impulse control, distraction, social influence and satisfaction are all highly correlated with technology addiction; specifically, 55% of the variance in addiction is explained by these four indicators. However, the model further shows addiction has no significant relationship with overall satisfaction of life, indicating that IS clients do not correlate the two ideas. Recommendations for Practitioners: Heavy technology use may indicate a paradigm shift in how people inter-act, instead of a concern to be addressed by the APA. Recommendation for Researchers: Research needs to clearly define technology dependence, addiction, and overuse so that there is a strong understanding of what is meant. These findings help guide assumptions about the dark side of Information Technology. Impact on Society: While technology use is increasing, younger generations may find the use to be acceptable and less of a problem then older generations. Future Research: Future research should replicate these findings on other technology artifacts and other technology addiction definitions. In the future, there is also opportunity to delve deeper into the outcome variable of satisfaction with life.

Aim/Purpose: Sharing ideas generated in a Business Intelligence (BI) Applications class to upgrade an Information System in to an Informing System. Background: Course Registration is the essential university’s business process in a university that follows a liberal-arts education model. Almost all categories of users are involved, including students, individual faculties and departments, and administration. A typical Information System, designed to support this process, allows departments to schedule selected courses for a particular time slot and location, and allows students to choose courses to study for the semester. Methodology: The course project is to design a BI application. Domain knowledge is essential for such projects and course registration was the natural choice for this class. The assignment includes (1) identifying the categories of stakeholders; (2) identifying the information needs of different categories; (3) identifying available information sources; (4) identifying how is possible to acquire the additional data; and (5) designing the Extract-Transform-Load (ETL) process and interface scenarios in a way to inform clients. Contribution: Contributions are in two directions: (1) pedagogy - involving students in such a project motivates creativity, also enforcing students to think in cost-benefit framework may lead to creation of really effective and efficient solutions; (2) practice - implementation of some of the ideas could be with low cost, but with high impact. Findings: Exploring BI techniques may increase the informing value of existing Information Systems. Recommendations for Practitioners: Careful analysis of information needs and the way information is used, combined with deep domain knowledge and understanding the value provided by Data Mining techniques, is the way to initiate a process of transforming an Retrieval Information System to better inform clients. Recommendation for Researchers : Combining pedagogy with practice allows one to overcome routine thinking and may lead to effective solutions. This needs further structuring and research on outcomes. Impact on Society Transforming Information towards Informing Systems has a significant impact by allowing users to make rational data driven decisions in an efficient way. Future Research: The future of this project is implementation of developed ideas and assessment of the results. Impact on Society : Transforming Information towards Informing Systems has a significant impact by allowing users to make rational data driven decisions in an efficient way. Future Research: The future of this project is implementation of developed ideas and assessment of the results.

Aim/Purpose: To develop and introduce a questionnaire that investigates the informing needs, information-seeking behavior, and supplier selection of procurement officers in Israel. The questionnaire’s internal consistency reliability is given. Additionally, we describe the demographic description of the procurement officers in Israel. Background: Procurement science is an important field that affects firms’ profits in the private sector and is significant to growth, innovation, sustainability, and welfare in the public sector. There is little research about the informing needs of procurement officers in general and particularly in Israel. Methodology: A quantitative questionnaire that is sent to all the procurement officers in Israel’s procuring association. Contribution: The questionnaire that is developed in this paper may be used by other researchers and practitioners to evaluate the information needs of procurement officers. Findings: The typical procurement officer is male, with a bachelor degree and is digitally proficient. Recommendations for Practitioners: The procuring side can use the questionnaire to develop better tools for obtaining information efficiently. The supplying side can use this knowledge to improve its exposure to potential customers and address its customer’s needs better. Recommendation for Researchers: The questionnaire can address theoretical questions such as how digital literacy affects the procuring process and provide empirical findings about active research areas such as supplier selection and information-seeking behavior. Future Research: Future research will examine the relationship between the various variables and demographic features to understand why specific information needs and information-seeking behaviors arise.

Aim/Purpose: This paper aims to investigate how Kuwaiti Academic Libraries (KALs) have responded to the rapidly evolving Smartphone-Apps (SP-Apps) environment, as well as exploring the level of electronic services provided in these libraries. Background: This study can illustrate whether the governmental, academic libraries in the State of Kuwait have already benefited from the mobile services provided by smart phones or not. Methodology: In this study, the researchers use both qualitative and quantitative methods. Therefore, questionnaires and interviews are used in order to collect in-depth data in this field. The questionnaire sample was 400 respondents. They divided in two KALs: Kuwait University Library (KUL) and Public Authority of Applied Education Training Library (PAAETL), while eight individual interviews were conducted one-to-one in this research. Contribution: This paper may be important for academic libraries to identify shortcomings in the smartphones’ content and services they provide and in highlighting efforts by libraries to address their users’ needs in this area. Findings: The findings show that most participants expressed the need to introduce an SP-App to their library. They also confirmed that there are many difficulties in creating an SP-App including lack of budget, lack of awareness of library management, lack of clarity about library management strategic objectives, and vision for an SP-App. Recommendations for Practitioners: Designing SP-Apps that have reliable content and user interface that is easy to use is a considerable challenge. For this reason, the study highly recommends introducing SP-Apps for KALs as soon as possible. Future Research: The recommendations proposed are relevant to Kuwait. Further research may be useful in this field in other developing countries, in order to test or develop the suggested strategy.

Aim/Purpose Information Technology students’ learning outcomes improve when teaching methodology moves away from didactic behaviorist-based pedagogy toward a more heuristic constructivist-based version of andragogy. Background There is a distinctive difference, a notable gap, between the academic community and the business community in their views of the level of preparedness of recent information technology program graduates. Understanding how Information Technology curriculum is developed and taught along with the underpinning learning theory is needed to address the deficient attainment of learning outcomes at the heart of this matter. Methodology The case study research methodology has been selected to conduct the inquiry into this phenomenon. This empirical inquiry facilitates exploration of a contemporary phenomenon in depth within its real-life context using a variety of data sources. The subject of analysis will be two Information Technology classes composed of a combination of second year and third year students; both classes have six students, the same six students. Contribution It is the purpose of this research to show that the use of improved approaches to learning will produce more desirable learning outcomes. Findings The results of this inquiry clearly show that the use of the traditional behaviorist based pedagogic model to achieve college and university IT program learning outcomes is not as effective as a more constructivist based andragogic model. Recommendations Instruction based purely on either of these does a disservice to the typical college and university level learner. The correct approach lies somewhere in between them; the most successful outcome attainment would be the product of incorporating the best of both. Impact on Society Instructional strategies produce learning outcomes; learning outcomes demonstrate what knowledge has been acquired. Acquired knowledge is used by students as they pursue professional careers and other ventures in life. Future Research Learning and teaching approaches are not “one-size-fits-all” propositions; different strategies are appropriate for different circumstances and situations. Additional research should seek to introduce vehicles that will move learners away from one the traditional methodology that has been used throughout much of their educational careers to an approach that is better suited to equip them with the skills necessary to meet the challenges awaiting them in the professional world.

Aim/Purpose : An important objective of any firm is escalation of its performance and the achievement of competitive advantages. Supply chain agility plays a prominent role to enhance the level of firm’s performance. Moreover, information technology (IT) plays a foundational role in supply chain management practices. Hence, this study proposes the relationship between IT integration as the competency of IT and firm’s market performance both directly and through mediating role of supply chain agility. Background: Many studies have been done to date on the impact of supply chain agility on overall firm’s performance. However, the effect of an agile supply chain on firm’s market performance per se needs to be studied. Furthermore, there is a gap in the literature about the effect of IT competency such as IT integration on firm’s market performance both directly and through mediating role of supply chain agility. Recommendation for Researchers: The first direction this study gives to researchers is to consider the different factors which have significant effect on the agility of supply chain, particularly the IT related ones. The second direction is about the study on the effect of IT competencies and supply chain agility on each category of firm’s performance separately instead of considering it as a one construct. Impact on Society : Although this is a conceptual study, it can highlight the importance of IT competency not only in our daily life, but also in our businesses and industries. Future Research: This study only proposes some relationships based on theory and literature. Future researchers can test these proposed relationships in different contexts and compare the results. Furthermore, this study proposes the relationships for large manufacturing sector in developing countries. The model could be tested for SMEs as well. In addition, the proposed theoretical model in this study might be tested in both developing as well as developed countries to compare the results which will be contributed to the body of knowledge.

Aim/Purpose: The main aim of the research is to examine the performance of second language English speaking students enrolled in the Business Statistics course and to investigate the academic performance of students when taught under the constructivist and non-constructivist approaches in a classroom environment. Background: There are different learning theories that are established based on how students learn. Each of these theories has its own benefits based on the different type of learners and context of the environment. The students in this research are new to the University environment and to a challenging technical course like Business Statistics. This research has been carried out to see the effectiveness of the constructivist approach in motivating and increasing the student engagement and their academic performance. Methodology : A total of 1373 students were involved in the quasi-experiment method using Stratified Sampling Method from the year 2015 until 2016. Contribution: To consider curriculum adjustments for first year programs and implications for teacher education. Findings: The t-test for unequal variances was used to understand the mean score. Results indicate students have high motivation level and achieve higher mean scores when they are taught using the constructivist teaching approach compared to the non-constructivist teaching approach. Recommendations for Practitioners: To consider the challenges faced by first year students and create a teaching approach that fits their needs. Recommendation for Researchers: To explore in depth other teaching approaches of the Business Statistics course in improving students’ academic performance. Impact on Society : The constructivist approach will enable learning to be enjoyable and students to be more confident. Future Research: The research will assist other lectures teaching Business Statistics in creating a more conducive environment to encourage second language English speaking students to overcome their shyness and be more engaged.

Aim/Purpose: Personal Knowledge Management (PKM) has been envisaged as a crucial tool for the growing creative class of knowledge workers, but adequate technological solutions have not been forthcoming. Background: Based on former affordance-related publications (primarily concerned with communication, community-building, collaboration, and social knowledge sharing), the common and differing narratives in relation to PKM are investigated in order to suggest further PKM capabilities and affordances in need to be conferred. Methodology: The paper follows up on a series of the author’s PKM-related publications, firmly rooted in design science research (DSR) methods and aimed at creating an innovative PKM concept and prototype system. Contribution: The affordances presented offer PKM system users the means to retain and build upon knowledge acquired in order to sustain personal growth and facilitate productive collaborations between fellow learners and/or professional acquaintances. Findings: The results call for an extension of Nonaka’s SECI model and ‘ba’ concept and provide arguments for and evidence supporting the claims that the PKM concept and system is able to facilitate better knowledge traceability and KM practices. Recommendations and Impact on Society: Together with the prior publications, the paper points to current KM shortcomings and presents a novel trans-disciplinary approach offering appealing opportunities for stakeholders engaged in the context of curation, education, research, development, business, and entrepreneurship. Its potential to tackle opportunity divides has been addressed via a PKM for Development (PKM4D) Framework. Future DSR Activities: After completing the test phase of the prototype, its transformation into a viable PKM system and cloud-based server based on a rapid development platform and a noSQL-database is estimated to take 12 months.

Aim/Purpose We establish a conceptually rigorous definition for the widely used but loosely defined term “fitness”. We then tie this definition to complexity, highlighting a number of important implications for the informing science transdiscipline. Background As informing science increasingly incorporates concepts of fitness and complexity in its research stream, rigorous discussion and definition of both terms is essential to effective communication. Methodology Our analysis consists principally of a synthesis of past work in the informing science field that incorporates concepts from evolutionary biology, economics and management. Contribution We provide a rigorous approach to defining fitness and introduce the construct “extrinsic complexity”, as a measure of the amount of information required to predict fitness, to more fully differentiate this form of complexity from other complexity constructs. We draw a number of conclusions regarding how behaviors under low and high extrinsic complexity will differ. Findings High extrinsic complexity environments are likely to produce behaviors that include resistance to change, imitation, turbulence and inequality. Recommendations for Practitioners As extrinsic complexity grows, effective search for problem solutions will increasingly dominate employing recommended solutions of “best practices”. Recommendation for Researchers As extrinsic complexity grows, research tools that rely on decomposing individual effects and hypothesis testing become increasingly unreliable. Impact on Society We raise concerns about society’s continuing investment in academic research that discounts the extrinsic complexity of the domains under study. Future Research We highlight a need for research to operationalize the concepts of fitness and complexity in practice.

Aim/Purpose: With information almost effortlessly created and spontaneously available, current progress in Information and Communication Technology (ICT) has led to the complication that information must be scrutinized for trustworthiness and provenance. Information systems must become provenance-aware to be satisfactory in accountability, reproducibility, and trustworthiness of data. Background: Multiple models for abstract representation of provenance have been proposed to describe entities, people, and activities involved in producing a piece of data, including the Open Provenance Model (OPM) and the World Wide Web Consortium. These models lack certain concepts necessary for specifying workflows and encoding the provenance of data products used and generated. Methodology: Without loss of generality, the focus of this paper is on OPM depiction of provenance in terms of a directed graph. We have redrawn several case studies in the framework of our proposed model in order to compare and evaluate it against OPM for representing these cases. Contribution: This paper offers an alternative flow-based diagrammatic language that can form a foundation for modeling of provenance. The model described here provides an (abstract) machine-like representation of provenance. Findings: The results suggest a viable alternative in the area of diagrammatic representation for provenance applications. Future Research: Future work will seek to achieve more accurate comparisons with current models in the field.

Aim/Purpose: The objective of this paper is to review the vast literature of user-centric in-formation science and inform about the emerging themes in information behaviour science. Background: The paradigmatic shift from system-centric to user-centric approach facilitates research on the cognitive and individual information processing. Various information behaviour theories/models emerged. Methodology: Recent information behaviour theories and models are presented. Features, strengths and weaknesses of the models are discussed through the analysis of the information behaviour literature. Contribution: This paper sheds light onto the weaknesses in earlier information behaviour models and stresses (and advocates) the need for research on social information behaviour. Findings: Prominent information behaviour models deal with individual information behaviour. People live in a social world and sort out most of their daily or work problems in groups. However, only seven papers discuss social information behaviour (Scopus search). Recommendations for Practitioners : ICT tools used for inter-organisational sharing should be redesigned for effective information-sharing during disaster/emergency times. Recommendation for Researchers: There are scarce sources on social side of the information behaviour, however, most of the work tasks are carried out in groups/teams. Impact on Society: In dynamic work contexts like disaster management and health care settings, collaborative information-sharing may result in decreasing the losses. Future Research: A fieldwork will be conducted in disaster management context investigating the inter-organisational information-sharing.

Table of contents for Volume 20 of Informing Science: the International Journal of an Emerging Transdiscipline, 2017.

Aim/Purpose: This study was undertaken to shed light on how the use of a heteronormative mobile dating application creates an environment to promote psychological empowerment among female users within the online dating scene. The study focused on a mobile dating application which specifically challenges traditional gender roles, namely Bumble. Background: Mobile dating applications have become an increasingly popular medium for people to meet potential partners. However, users’ pre-existing social norms and biases inform how they communicate on these platforms, and stereotyped judgment about women perpetuates ideologies which continue to oppress them within the cyber world. Despite this, very little research has investigated the experiences of female users of mobile dating applications. Methodology: The study was qualitative in nature, and 10 semi-structured interviews of female Bumble users were conducted. The data were analyzed using thematic analysis. Contribution: The study contributes to knowledge by highlighting how key features of mobile dating applications influence various aspects of psychological empowerment as articulated in the findings. Findings: The findings show that the Bumble application supports Intrapersonal variables of Psychological Empowerment of female users relative to Domain Specific Perceived Control and Self-Efficacy, Motivation to Control and Perceived Competence. However, Domain Specific Perceived Control can also be negatively impacted due to self-doubt when female users receive little to no matches. Interactional variables of psychological empowerment are also supported, as Bumble allows female users to be critically aware of the need to screen potential partners, understand relevant causal agents, develop skills relative to initiating conversations and mobilize resources. However, Bumble is not effective in supporting behavioral variables of psychological empowerment because of limitations in the tool’s functionality and the behavior of the people interacting on the platform. Recommendations for Practitioners: The findings are important as they suggest the need to enhance the features available to female users in order to better suit their needs and desire to take control of their lives in the context of dating and/or friendship. Recommendation for Researchers: The findings reveal the need for a change of perceptions and attitudes on the part of some users to create a safer and more considerate virtual dating space, to truly achieve psychological empowerment. Future Research: More research is required on how male and female users domesticate mobile dating applications and how the use of these applications influence their daily lives from a socio-cultural point of view.

Aim/Purpose: The aim of this paper is to identify the possibilities for reducing the second and third levels of the digital divide (or inequality) through conscious application of digital technologies, especially through the promotion of digital means for information, enlightenment, and entertainment. Background: This article reviews studies carried out between 2000 and 2017, which investigate the social benefits of digital technology use for disadvantaged user groups and, especially, of their outcomes in terms of increasing digital skills and motivation to use information and communication technologies. Methodology: The literature review of the selected texts was carried out using thematic content analysis. The coding scheme was open but based on the theory of three levels of digital divide by van Dijk. Contribution: The results of the analysis show the difficulties related to the attempts of reducing the digital divide on the second and third level using only digital interventions, but also reveal the potential of these interventions. Findings: The literature review confirms the connection of different levels of digital divide with other relational and structural inequalities. It provides insights into the strengths and weaknesses of digital interventions aimed at the reduction of digital inequalities. Their success depends on the consideration of the context and participants needs as well as on carefully planned strategies. The paper summarizes and demonstrates the shortcomings and limitations of poorly designed interventions in reducing the digital divide but emphasizes the possibilities of raising the motivation and benefits for the participants of strategically planned and implemented projects. Recommendations for Practitioners: While planning a digital intervention with the aim of reducing digital inequalities, it is necessary to assess carefully the context and the needs of participants. Educational interventions should be based on suitable didactic and learning strategies. Recommendation for Researchers: More research is needed into the factors that increase the effectiveness of digital interventions aimed at reducing the digital divide. Future Research: We will apply the findings of this literature review in an intervention in the context of Lithuanian towns of different sizes.

Aim/Purpose: The authors argue that interdisciplinarity, together with the more recent concept of transdisciplinarity, can be seen as a coherent attempt not so much to reassemble the fragmented structure into a whole, as to create a fruitful collaboration and integration among different disciplines that takes into account their specificity. Background: At the threshold of the Modern Age, a series of paradigm shifts in Western thought caused its fragmentation into a variety of academic subdisciplines. Such diversification can be considered the result of epistemological shifts and changes in the division of intellectual labor. Contribution: Which semantic horizons can this new approach open, and on which theoretical foundations could a dialogue between disciplines be produced? The growing importance of this problem is evidenced by the emergence, during the last decades, of philosophical reflections on the interactions among different research fields. The paper aims to contribute to the contemporary discussion of the need to overcome boundaries between disciplines. Consequently, it has both a methodological and theoretical impact, since all branches of knowledge aspiring to go beyond their traditional theoretical boundaries would benefit from a coherent theoretical perspective which tries to reconceptualize the transfer of knowledge from one field to another. Findings: The possibility of transdisciplinarity in modern science finds its theoretical premise in M. Foucault’s seminal work on the organization of knowledge, The Order of Things, which hinted at the existence of gaps in the grid of knowledge, leading, as a result, to the possibility of creating transdisciplinary connections. Future Research: The authors’ critical discussion of transdisciplinarity aims to revive the French epistemological tradition that in the last decades has often been rejected by researchers as not being rigorous nor analytical. This choice is motivated by the belief that, despite such evident defects, at its bottom lies a genuine theoretical intention that does not take for granted the possibility of transcending the usual division of intellectual work. In addition, the authors offer a brief account of the Russian conception of transdisciplinarity, relatively little studied in the West, which is presumed to integrate and solve the difficulties of other similar models.

Aim/Purpose: In this paper, we discuss how a Transdisciplinary (TD) and a Community Based Participatory Research (CBPR) initiative was conceptualized, developed, implemented, and sustained at a small academic institution with limited research infrastructure, emphasizing the role of capacity building. Background: Most examples of the implementation of TD research come from large-scale initiatives in research-intensive institutions or centers with multiple resources to establish collaborations among experts from different disciplines. However less is known about the implementation of TD and CBPR initiatives in small academic settings. Methodology: This paper includes a discussion of the challenges and lessons learned of this process in a teaching-intensive Hispanic Serving Institution (HSI), which included a research component as part of the institutional priorities when it transitioned to a 4-year college in 2001. Contribution: We hope that our experience helps other researchers in similar institutions to engage in this type of research. Findings: In this case, a collaborative TD and CBPR initiative was successfully implemented despite limited resources for capacity building and research infrastructure, as well as diversity among researchers and community members. Recommendation for Researchers: To sustain institutional collaborative capacity in this type of institution, authors recommend continuous capacity building efforts and the development of modules and/or courses to provide formal TD training for junior faculty while encouraging researchers to interact and collaborate. In addition, the importance of the role of the community liaison is highlighted. Impact on Society: Successful TD and CBPR initiatives may have a positive impact on the reduction or elimination of health disparities which involve complex phenomena that requires a broad view from different perspectives. Future Research: Even though capacity building can facilitate the implementation of TD and CBPR, many challenges arise as an inherent result of community engagement and the integration of different disciplines. Thus, the need of continuous reflection to acknowledge them becomes critical for advancing TD and CBPR efforts.

Aim/Purpose: This paper describes the regulatory affairs discipline as a useful case in the study of both inter- and transdisciplinary science and dynamics related to communication across multiple boundaries. We will 1) outline the process that led to the development of transnational competencies for regulatory affairs graduate education, 2) discuss how the process highlights the transdisciplinary character of regulatory affairs, 3) provide implications for how to communicate the influence of this characterization to future healthcare professionals, and 4) draw conclusions regarding how our lessons-learned might inform other programs of study. Background: In the past few decades, the regulatory affairs profession has become more internationalized. This prompted the need for new competencies grounded in the transnational and cross-disciplinary contexts in which these professionals are required to operate. Methodology: A convenience sample of experienced regulatory affairs professionals from multiple disciplines contributed to the development of transnational competencies for a master’s program in regulatory affairs using a transdisciplinary framework. Contribution: An applied exemplar in which to understand how transdisciplinary characteristics can be communicated and applied in higher education. Recommendations for Practitioners: This paper recommends how competencies developed from a regulatory affairs program can serve as exemplars for other applied transdisciplinary higher education programs. Impact on Society: This framework provides a seldom-used reflective approach to regulatory affairs education that utilizes cross-disciplinary theory to inform competence-based formation of professionals.

Aim/Purpose: This paper introduces a Social Machine for collaborative sensemaking that the developers have configured to the requirements and challenges of transdisciplinary literature reviews. Background: Social Machines represent a promising model for unifying machines and social processes for a wide range of purposes. A development team led by the author is creating a Social Machine for activities that require users to combine pieces of information from multiple online sources and file types for various purposes. Methodology: The development team has applied emergent design processes, usability testing, and formative evaluation in the execution of the product road map. Contribution: A major challenge of the digital information age is how to tap into large volumes of online information and the collective intelligence of diverse groups to generate new knowledge, solve difficult problems, and drive innovation. A Transdisciplinary Social Machine (TDSM) enables new forms of interactions between humans, machines, and online content that have the potential to (a) improve outcomes of sensemaking activities that involve large collections of online documents and diverse groups and (b) make machines more capable of assisting humans in their sensemaking efforts. Findings: Preliminary findings suggest that TDSM promotes learning and the generation of new knowledge. Recommendations for Practitioners: TDSM has the potential to improve outcomes of literature reviews and similar activities that require distilling information from diverse online sources. Recommendation for Researchers: TDSM is an instrument for investigating sensemaking, an environment for studying various forms of human and machine interactions, and a subject for further evaluation. Impact on Society: In complex areas such as sustainability and healthcare research, TDSM has the potential to make decision-making more transparent and evidence-based, facilitate the production of new knowledge, and promote innovation. In education, TDSM has the potential to prepare students for the 21st century information economy. Future Research: Research is required to measure the effects of TDSM on cross-disciplinary communication, human and machine learning, and the outcomes of transdisciplinary research projects. The developers are planning a multiple case study using design-based research methodology to investigate these topics.

Aim/Purpose: This paper explores the implications of machine-mediated communication on human interaction in cross-disciplinary teams. The authors explore the relationships between Open Science Theory, its contributions to team science, and the opportunities and challenges associated with adopting open science principles. Background: Open Science Theory impacts many aspects of human interaction throughout the scholarly life cycle and can be seen in action through various technologies, which each typically touch only one such aspect. By serving multiple aspects of Open Science Theory at once, the Open Science Framework (OSF) serves as an exemplar technology. As such it illustrates how Open Science Theory can inform and expand cognitive and behavioral dynamics in teams at multiple levels in a single tool. Methodology: This concept paper provides a theoretical rationale for recommendations for exploring the connections between an open science paradigm and the dynamics of team communication. As such theory and evidence have been culled to initiate a synthesis of the nascent literature, current practice and theory. Contribution: This paper aims to illuminate the shared goals between open science and the study of teams by focusing on science team activities (data management, methods, algorithms, and outputs) as focal objects for further combined study. Findings: Team dynamics and characteristics that will affect successful human/machine assisted interactions through mediators of workflow culture, attitudes about ownership of knowledge, readiness to share openly, shifts from group-driven to user-driven functionality, group-organizing to self-organizing structures, and the development of trust as teams regulate between traditional and open science dissemination. Recommendations for Practitioners: Participation in open science practices through machine-assisted technologies in team projects/scholarship should be encouraged. Recommendation for Researchers: The information provided highlights areas in need of further study in team science as well as new primary sources of material in the study of teams utilizing machine-assisted methods in their work. Impact on Society: As researchers take on more complex social problems, new technology and open science practices can complement the work of diverse stakeholders while also providing opportunities to broaden impact and intensify scholarly contributions. Future Research: Future investigation into the cognitive and behavioral research conducted with teams that employ machine-assisted technologies in their workflows would offer researchers the opportunity to understand better the relationships between intelligent machines and science teams’ impacts on their communities as well as the necessary paradigmatic shifts inherent when utilizing these technologies.

Aim/Purpose: The complexity of scientific problems has spurred the development of transdisciplinary science, in which experts are brought together to collaborate across disciplinary and practice boundaries. These knowledge diverse teams can produce novel solutions, but they often fail to achieve their potential. Background: Leaders have a crucial role to play in enabling effective collaboration among these diverse experts. We propose that a critical predictor of whether a newly formed interdisciplinary team will perform well is the leader’s multidisciplinary breadth of experience, which we define as a leader’s possession of significant experience in multiple areas of research and practice. We suggest that these leaders will have the capability to skillfully manage the interactions within the team. Methodology: We test our prediction in a sample of 52 newly formed interdisciplinary medical research teams. We also observe and examine the communication patterns in a subset of these teams. Contribution: There is a lack of systematic study of the impact leaders have on newly formed interdisciplinary science teams whose members have little or no prior collaborative experience with each other, possess specialized knowledge, and have limited overlapping expertise. This study combines quantitative and qualitative methods to examine the effect of leader multidisciplinary experience on team communication patterns and innovation. Findings: Our study finds that teams are more innovative when their leader has a moderate breadth of multidisciplinary expertise. Exploration of team communication patterns suggests that leaders with moderate multidisciplinary breadth of experience actively stimulated information sharing across expert domains by choosing cross-cutting topics and drew individuals’ attention to the knowledge and approaches of others in the team. Recommendations for Practitioners: Insights from this work can have practical implications regarding how to best select and train leaders to facilitate cross-boundary collaboration in transdisciplinary science. This study elucidates a variety of communication strategies that leaders can to enhance the team innovativeness. Recommendation for Researchers: Further investigation into the underlying psychological states that these communication strategies elicit is needed. Future research should investigate psychological mediators such as knowledge consideration, perspective taking, and cognitive flexibility. Impact on Society: Transdisciplinary science is needed to solve society’s most complex problems. The more insight we gather about factors that can help these knowledge diverse teams to be successful, but more society will benefit. Future Research: More research is needed on team formation, leader experience, and team outcomes in transdisciplinary science teams in a variety of contexts.

Aim/Purpose: Given that leadership has been shown to play a key role in knowledge-producing organizations, leaders of transdisciplinary science have received surprisingly little empirical attention. This study addresses the research gap by examining leadership in the context of a new transdisciplinary research organization. Background: Drawing on complexity leadership theory—a framework developed for identifying behaviors that facilitate creativity, learning, and adaptability in complex adaptive systems—this study examines leadership roles and practices that affect the generation of adaptive dynamics in transdisciplinary science. Methodology: The study is based on a longitudinal, qualitative in-depth case study on a newly formed transdisciplinary research center and its leadership team. The data includes ethnographic observations from leadership meetings and interviews with leaders. Contribution: This unique empirical case contributes to the study of transdisciplinary science by shedding light on the actions of academic leaders as they try to support transdisciplinary conversation, learning, and collaboration in a new center. Findings: The analysis shows that the leaders relied on both enabling and administrative leadership practices in a way that made them the focal point of transdisciplinary knowledge integration and thus jeopardized the creation of adaptive dynamics throughout the organization. Recommendations for Practitioners: The study highlights the importance of having knowledge brokers and hybrid scholars in strategic positions at different levels of the transdisciplinary research organization already in its early stages. Recommendation for Researchers: Longitudinal qualitative case studies that rely on different types of data provide rich information on how new leadership conceptualizations are implemented in organizations and the complex ways in which they relate to knowledge creation processes and outcomes. Impact on Society: Transdisciplinary science has the potential to find cures to complex diseases. Understanding leadership in transdisciplinary science can help in maintaining transdisciplinary research activities in the long run and thus make it more impactful. Future Research: The use of leadership roles and practices will be examined at different developmental stages in the transdisciplinary research process.

Aim/Purpose: To understand the process of social change creation in social entrepreneurial ventures (SEVs), specifically emphasizing the role and nature of the communicative process in social change creation. Background: Drawing on data from seven SEVs from India and the US and employing a grounded theory methodology, this research scrutinizes the social change process and uncovers the role and characteristics of dialogue in this process. Methodology: Qualitative data was collected from seven social entrepreneurial organizations over a period of eight months from July 2011 to February 2012. Semi-structured interviews were conducted with a wide range of members within these social entrepreneurial organizations (n=27) with additional informal interviews with field workers and volunteers. Data from the semi-structured interviews and notes from observations were integrated with analyses of archival resources. Contribution: There is little scholarship about the process of social change creation and the necessary conditions to promote social change over time. Understanding the process of social change creation and the individual, interpersonal, and organizational conditions that facilitate the process is central to design of effective trans-sector TD problem solving ventures. This paper focuses on the process of social change creation in social entrepreneurial settings, specifically emphasizing the role and nature of the communicative process in social change creation. Findings: The reflections and experiences of the members of SEVs revealed that social entrepreneurship is a collective endeavor and this collective character is essential to its success. Collective organization and synergy, deep intra-organizational communication, and a conducive organizational context are critical for the creation of collective wisdom and knowledge networks for long-term collaborative community capacity building. Dialogue emerged as a central category linking the other categories to explain the process of social change creation. Organic organizational structure enables knowledge creation and integration through the process of organizational learning through deep and continuous social interaction, or dialogue. Recommendations for Practitioners: This research elucidated the key characteristics of the organizational context required to support the creation of social change. It also identified the critical role and characteristics of the communicative process required to generate structural knowledge and collective wisdom at the organizational level. Recommendation for Researchers: For individual and organizational learning, trans-sector transdisciplinary organizations require an appropriate organizational context. Key elements of such an organizational context include (1) understanding the ecology of the social problem; (2) organic organizational structure; (3) continuous and deep social interaction among all levels of the organization; (4) employee and community autonomy and empowerment; and (5) attention to subtle environmental changes in the system. These elements in combination lead to the creation of collective wisdom. Collective wisdom then feeds back into the conception, planning, and action stages of the iterative cycle of organizational knowledge creation to create positive social change. Impact on Society: Same as above Future Research: Future research model theoretically and study empirically the ecology of social entrepreneurship and trans-sector TD problem solving more broadly. For example, the ways in the personal attributes of social entrepreneurs (e.g., their leadership style, networking abilities) combine with circumstances at organizational, institutional, and international levels to influence the effectiveness of their efforts to promote positive social change within local and global communities. Second, the grounded theoretical framework developed here should be further refined and elaborated through the identification of additional key contextual factors that affect SEVs’ capacity to promote positive social change and to achieve sustainability in different socio-environmental contexts. There is also a need to translate the findings from this research to facilitate the creation of more inclusive problem solving contexts and practices.

Aim/Purpose: Collaborative, interdisciplinary research is growing rapidly, but we still have limited and fragmented understanding of what is arguably the heart of such research—collaborative, interdisciplinary reasoning (CIR). Background: This article integrates neo-Pragmatist theories of reasoning with insights from literature on interdisciplinary research to develop a working definition of collaborative, interdisciplinary reasoning. The article then applies this definition to an empirical example to demonstrate its utility. Methodology: The empirical example is an excerpt from a Toolbox workshop transcript. The article reconstructs a cogent, inductive, interdisciplinary argument from the excerpt to show how CIR can proceed in an actual team. Contribution: The study contributes operational definitions of ‘reasoning together’ and ‘collaborative, interdisciplinary reasoning’ to existing literature. It also demonstrates empirical methods for operationalizing these definitions, with the argument reconstruction providing a brief case study in how teams reason together. Findings: 1. Collaborative, interdisciplinary reasoning is the attempted integration of disciplinary contributions to exchange, evaluate, and assert claims that enable shared understanding and eventually action in a local context. 2. Pragma-dialectic argument reconstruction with conversation analysis is a method for observing such reasoning from a transcript. 3. The example team developed a strong inductive argument to integrate their disciplinary contributions about modeling. Recommendations for Practitioners: 1. Interdisciplinary work requires agreeing with teammates about what is assertible and why. 2. To assert something together legitimately requires making a cogent, integrated argument. Recommendation for Researchers: 1. An argument is the basic unit of analysis for interdisciplinary integration. 2. To assess the argument’s cogency, it is helpful to reconstruct it using pragma-dialectic principles and conversation analysis tools. 3. To assess the argument’s interdisciplinary integration and participant roles in the integration, it is helpful to graph the flow of words as a Sankey chart from participant-disciplines to the argument conclusion. Future Research: How does this definition of CIR relate to other interdisciplinary ‘cognition’ or ‘learning’ type theories? How can practitioners and theorists tell the difference between true intersubjectivity and superficial agreeableness in these dialogues? What makes an instance of CIR ‘good’ or ‘bad’? How does collaborative, transdisciplinary reasoning differ from CIR, if at all?

Aim/Purpose: Transdisciplinarity is considered as a framework for understanding knowledge producing teams (KPTs). Features of transdisciplinary knowledge producing teams (TDKPTs) are provided using a complex adaptive systems (CAS) lens. TDKPT features are defined and linked to complexity theory to show how team participants might develop skills that more truly express complex adaptive conditions. Background: TDKPTs are groups of stakeholder participants tasked with producing knowledge across disciplinary, sectoral, and ecological boundaries. TDKPTs reflect components of complex adaptive systems (CAS) and exemplify how CAS behave and function. Methodology: The paper accesses literature from the Science-of-Team-Science (SciTS), complexity theory, and systems theory to construct a typology of the features of TDKPTs. Contribution: This paper provides a list of features developed from a diverse body of literature useful for considering complexity within TDKPTs. Findings: The paper proposes a series of features of transdisciplinary knowledge producing teams. In addition, the authors identify important skill building aspects needed for TDKPTs to be successful. Recommendations for Practitioners: The paper provides a framework by which team functioning can be considered and enhanced within TDKPTs. Recommendation for Researchers: The paper suggests categorical features of transdisciplinary teams for research on the collaborative processes and outcomes of TD teams. Future Research: Knowledge producing team members need to engage in theoretical, episte-mological, and methodological reflections to elucidate the dynamic nature of TD knowledge producing teams. Understanding how conflict, dissonance, and reciprocal interdependencies contribute to knowledge generation are key areas of future research and inquiry.

Aim/Purpose: This is an introductory paper for the Special Series on transdisciplinary communication. It summarizes the various articles in the special series and raises questions for future investigation.

Aim/Purpose: This paper describes an empirical examination of how users’ willingness to disclose personal data is influenced by the amount of information provided on landing pages – standalone web pages created explicitly for marketing or advertising campaigns. Background: Provision of information is a central construct in the IS discipline. Content is a term commonly used to describe the information made available by a website or other electronic medium. A pertinent debate among scholars and practitioners relate to the behavioral impact of content volume: Specifically, does a greater amount of information elicit engagement and compliance, or the other way around? Methodology: A series of large-scale web experiments (n= 535 and n= 27,900) were conducted employing a between-subjects design and A/B testing. Two variants of landing pages, long and short, were created based on relevant behavioral theories. Both variants included an identical form to collect users’ information, but different amounts of provided content. User traffic was generated using Google AdWords and randomized between the page using Unbounce.com. Relevant usage metrics, such as response rate (called “conversion rate”), location, and visit time were recorded. Contribution: This research contributes to the body of knowledge on information provision and its effectiveness and carries practical and theoretical implications to practitioners and scholars in Information Systems, Informing Science, Communications, Digital Marketing, and related fields. Findings: Analyses of results show that the shorter landing pages had significantly higher conversion rates across all locations and times. Findings demonstrate a negative correlation between the content amount and consumer behavior, suggesting that users who had less information were more inclined to provide their data. Recommendations for Practitioners: At a practical level, results can empirically support business practices, design considerations, and content strategy by informing practitioners on the role of content in online commerce. Recommendation for Researchers: Findings suggest that the amount of content plays a significant role in online decision making and effective informing. They also contradict prior research on trust, persuasion, and security. This study advances research on the paradoxical relationship between the increased level of information and online decision-making and indicates that contrary to earlier work, not all persuasion theories‎ are ‎effective online. Impact on Society: Understanding how information drives behavior has implications in many domains (civic engagement, health, education, and more). This has relevance to system design and public communication in both online and offline contexts. Future Research: Using this research as a starting point, future research can examine the impact of content in other contexts, as well as other behavioral drivers (such as demographic data). This can lead to theoretical, methodological, and practical recommendations.

Aim/Purpose: Provides a theoretical model as to where we should source our information as the environment becomes more complex. Background: Develops a theoretical model built on extrinsic complexity and offers a conceptual scheme relating to the relative value of different sources. Methodology: The paper is purely conceptual in nature. Contribution: Develops a model that could be tested relating to where clients should search for information. Findings: Arguments can be made that different environments warrant different priorities for informing sources. Recommendations for Practitioners: Assess how your sources of information match your perceived environment. Recommendation for Researchers: Consider developing research designs to test the proposed model. Impact on Society: Offers a new way of thinking about informing sources. Future Research: Develop propositions from the model that could be empirically tested in future research.

Table of contents for Volume 21 of Informing Science: the International Journal of an Emerging Transdiscipline, 2018.

Aim/Purpose: The paper explores the success of KGB Operation SIG to incite hatred and create chaos against a democracy Background: About 50 years ago, the KGB created the means to create upheaval in the Mid-dle East. This paper explores one such campaign and its successor campaign, revealing some disinformation techniques in use today. Methodology: The paper brings together literature from many fields in its exploration of Op-eration SIG. Contribution: The paper reveals the role of the KGB in the PLO’s campaign to replace Israel with an Arab Muslim state and the PLO and Hamas’s successor disinformation mechanisms Findings: Operation SIG is an early and extremely successful example of the Sovi-et/Russian campaign to disrupt democracy. Recommendation for Researchers: The recurrence of antisemitism, particularly on campus, can be attributed to Operation SIG.

Aim/Purpose: The paper provides general background on the who, what, when, and why of deception. Methodology: It uses a naturalistic observational methodology. Whenever possible, the paper provides examples. Contribution: The research cited in this paper comes from a large variety of disparate fields of study. As such, it is one of the few multidisciplinary attempts to understand de-ception Findings: The research uncovered general principles for conducting deception and tactics that support these principles. Recommendation for Researchers: The authors hope that this paper’s finding will shed light on the topic of fake news as well as misinformation and disinformation, particularly in politics.

The present paper identifies a variety of conceptual schemes that have emerged within informing science and consider how they might be applied to fake news. The paper begins with a brief overview of fake news. This is followed presentations of various models identified in a two-volume survey of informing science. The models presented include those dealing with extrinsic (i.e., environmental) complexity, informing transitions, and individual resonance. The potential implications for informing science research into fake news are discussed and questions that may warrant future research are raised. The paper then concludes by describing what current informing science may already be telling us about fake news, its spread and its influence. Through its analysis of the fake news and informing science literature, a number of questions are identified where informing science can possibly contribute to our understanding of fake news. These include: • Does fake news need to disinform its clients if it is to be effective? • Why are certain groups of individuals particularly credible when it comes to communicating fake news? • Under what circumstances will the emotional and social motivations to accept fake news exceed our concern for its truth? • How does the nature of the fake news content and objectives impact the disinformer’s choice of channel? • What are the circumstances under which radically transitional fake news might have an impact?

Aim/Purpose: Many disciplines have addressed the issue of “fake news.” This topic is of central concern to the transdiscipline of Informing Science, which endeavors to understand all issues related to informing. This paper endeavors to build a model to address not only fake news but all informing and misin-forming. To do this, it explores how errors get into informing systems, the issue of bias, and the models previously created to explore the complexity of informing. That is, this paper examines models and frameworks proposed to explore informing in the presence of bias, misinformation, disinformation, and fake news from the perspective of Informing Science. It concludes by intro-ducing a more nuanced model that considers some of the topics explored in the paper Methodology: The issue of informing and disinforming crosses many disciplinary perspectives. Each discipline puts on blinders that limit what it can contribute to its understanding of research topics. It is like trying to study a forest by seeing only the trees and not the animals or the animals but not the trees. Research perspectives that cross disciplinary boundaries are needed to more fully understand complex phenomena. This paper lays out some fundamental cross-disciplinary issues including how errors find their way into informing systems, the issue of bias, and the frameworks used to model this phenomenon. Contribution: The paper introduces the competition framework for understanding informing and misinforming. This framework addresses many of the limitation of prior frameworks. Future Research: The concluding framework offers insights into understanding informing and disinforming. But this framework offers no insights into other forms of informing that are less well explored, such as song, dance, physical art, and architecture. Likewise, this framework does nothing to help the un-derstanding of informing via fideism or psychedelic revelation.

Aim/Purpose: This series of papers on Fake News: Bias, Misinformation, and Disinformation examines fake news from an Informing Science perspective. As such, the papers in this special series make novel con-tributions to the field by viewing the issues through the transdisciplinary lens of informing science. This series makes no claim to summarize or review all that has been written on this topic. Rather it provides a glimpse into this immense literature from the perspective of informing science. Background: It is one small step on the 20+ year quest by the editor to explore better ways to inform from an approach that transcends academic disciplines (Cohen, 1998, 1999) and a 20 year quest to under-stand the issues of how we become misinformed and disinformed (Cohen, 2000). The series pro-vided here gains thrust for two reasons. One reason is that the study has become more popular with academicians due to the blathering of politicians and the attacks by national powers on de-mocracy. The second reason is more mundane; without the deadline that the end-of-year affords, the papers would become richer, fuller, and more detailed. Recommendation for Researchers: Taken together, the results brought forth across these papers is truly scary. Due to their biases, when presented with information, people can and do generate their own misinformation. People tend to communicate such misinformation that they self-generated with others in groups sharing their beliefs, strengthening the misinformation by some and silencing those do not share these thoughts. This process creates divisions in society. How can humanity seek wise decisions when we cannot agree even upon the facts. We see the results of this syndrome in Operation SIG and cur-rent divisions within politics in the West.

Aim/Purpose: The year 2020 marks the 50th anniversary of the first official definition of the term “transdisciplinarity.” This paper focuses on a critical analysis of the development of modern transdisciplinarity since its inception. Background: The article presents two main directions for the development of transdisciplinarity. It also shows its identification features, strengths, and weaknesses, as well as the significant role transdisciplinarity plays in science and education. Methodology: The methodology employed in this article is a content analysis of resolutions of international forums as well as articles on transdisciplinarity published from 1970 to 2019. Contribution: For one reason or the other, several of these authors did not quote the opinions of the original authors of transdisciplinarity. The subsequent use of those articles by other authors thus posed some ambiguities about the place and role of transdisciplinarity in science and education. The advent of e-databases has made it possible to access the original forum articles. This further made it possible to refine the original content of the term “transdisciplinarity” and to trace its development without mixing it with vague opinions. Based on these findings, the perception of transdisciplinarity as a marginal trend in science and education could be eliminated. Findings: This paper shows how modern transdisciplinarity is developing into two main directions: transdisciplinarity in science as well as transdisciplinarity in education. These orientations have individual goals and objectives. The transdisciplinarity of scientific research helps to complete the transformation of the potential for interdisciplinary interaction and the integration of disciplines. Whereas, in education, transdisciplinarity (meta-discipline) is about developing an international standard for transdisciplinary education and also describing the content of transdisciplinary competence for students of diverse disciplines at all levels of higher education (bachelor’s, master’s and postgraduate studies). Recommendation for Researchers: Transdisciplinary research involves the interaction of people with disciplinary knowledge plus a degree of scientific outlook. Since disciplinary knowledge domains remain in their disciplinary boxes, it is, therefore, advisable to generalize disciplinary knowledge rather than force them to interact. This is the basis for proposing the systems transdisciplinary approach—which provides a methodology for unifying and generalizing disciplinary knowledge. Future Research: As the research shows, the organizers of modern international forums do not take into account the division of transdisciplinarity development trends. To increase the effectiveness and significance of such forums, it is necessary to return to the practice of organizing special international forums on the transdisciplinarity of science and that of education.

Aim/Purpose: Absence of new scientific approaches and specialists (generalists), who professionally obtain such approaches, is one of the main reasons for an ineffective solution of complex multifactor problems of the modern society. Background: The article briefly describes the concept of systems transdisciplinary integration of knowledge of different scientific disciplines. Also, it shows an opportunity to use this concept education of generalists in higher education. Methodology: The article highlights the idea of gestalt of knowledge, which is based on systems transdisciplinary model of spatial unit of order. It describes the basis of gestalt-of-the-one and gestalt-of-the-whole. Also, it explains the differences and practical capabilities of holist generalists and unicentrist generalists. Contribution: Loss of identificational attributes can take place during the process of integration of knowledge of different scientific disciplines. The article shows how to avoid this complication within a systems transdisciplinary approach. Findings: Each type of fundamental knowledge has its own carriers, such as scientists and specialists. Therefore, direct interaction of people-carriers of fundamental knowledge has limited potential. Presently, a more practical importance is the interaction between scientists and specialists within the zones of hybridization of fundamental knowledge. Hybridization is the process of systematization of knowledge within specialized systems transdisciplinary models of unit of order. A specialist generalist’s professional work is to organize scientific research, systemise knowledge of different scientific disciplines, make necessary conclusions, and suggest optimal solution for complex multifactor problems. Therefore, generalists should be considered as an important move towards the solution of complex multifactor problems of modern society. Recommendation for Researchers: A new scientific approach is a way of widening scientific worldview. A new approach in inorganic chemistry made it possible to create the Mendeleev periodic table of elements. Owing to this table, researchers were able to learn the characteristics and attributes of chemical elements, which can be found in nature. Also, models of systems transdisciplinary approach allow the discovery of new elements and relations of complex multifactor problems. Its absence would, however, hinder the research and the problem description. Future Research: The article justifies that preparation of generalists in higher education is one of the main peculiarities of universities of the third generation. Therefore, it might be desirable for organizers of higher education and university leaders to begin speculations regarding this quest, develop educational programs for generalists, and search for optimal forms and methods of solution.

Aim/Purpose: In this paper, we address the theoretical challenges today’s scientific community faces to precisely draw lines between true and false pictures. In particular, we focus on problems related to the hidden wonders of science and the shiny images produced for scientific papers or to appeal to wider audiences. Background: As rumors (hoaxes) and false news (fake news) explode across society and the current network, several initiatives using current technology have been launched to study this phenomena and limit the social impact. Over the last two decades, inappropriate scientific behavior has raised more questions about whether some scientific images are valid. Methodology: This work is not about analyzing whether today’s images are objective. Instead, we advocate for a general approach that makes it easier to truly believe in all kinds of knowledge, scientific or otherwise (Goldman, 1967; Goldman, & Olson, 2009). This need to believe is closely related to social order (Shapin, 1994). Contribution: We conclude that we must ultimately move away from older ideas about truth and objectivity in research to broadly approach how science and knowledge are represented and move forward with this theoretical approach when communicating science to the public. Findings: Contemporary visual culture suggests that our world is expressed through images, which are all around us. Therefore, we need to promote the reliability of scientific pictures, which visually represent knowledge, to add meaning in a world of complex high-tech science (Allamel-Raffin, 2011; Greenberg, 2004; Rosenberger, 2009). Since the time of Galileo, and today more than ever, scientific activity should be understood as knowledge produced to reveal, and therefore inform us of, (Wise, 2006) all that remains unexplained in our world, as well as everything beyond our senses. Recommendation for Researchers: In journalism, published scientific images must be properly explained. Journalists should tell people the truth, not fake objectivity. Today we must understand that scientific knowledge is mapped, simulated, and accessed through interfaces, and is uncertain. The scientific community needs to approach and explain how knowledge is represented, while paying attention to detail. Future Research: In today’s expanding world, scientific research takes a more visual approach. It is important for both the scientific community and the public to understand how the technologies used to visually represent knowledge can account for why, for example, we know more about electrons than we did a century ago (Arabatzis, 1996), or why we are beginning to carefully understand the complexities and ethical problems related to images used to promote knowledge through the media (see, i.e., López-Cantos, 2017).

Aim/Purpose: The aim of this paper is to propose an ensemble learners based classification model for classification clickbaits from genuine article headlines. Background: Clickbaits are online articles with deliberately designed misleading titles for luring more and more readers to open the intended web page. Clickbaits are used to tempted visitors to click on a particular link either to monetize the landing page or to spread the false news for sensationalization. The presence of clickbaits on any news aggregator portal may lead to an unpleasant experience for readers. Therefore, it is essential to distinguish clickbaits from authentic headlines to mitigate their impact on readers’ perception. Methodology: A total of one hundred thousand article headlines are collected from news aggregator sites consists of clickbaits and authentic news headlines. The collected data samples are divided into five training sets of balanced and unbalanced data. The natural language processing techniques are used to extract 19 manually selected features from article headlines. Contribution: Three ensemble learning techniques including bagging, boosting, and random forests are used to design a classifier model for classifying a given headline into the clickbait or non-clickbait. The performances of learners are evaluated using accuracy, precision, recall, and F-measures. Findings: It is observed that the random forest classifier detects clickbaits better than the other classifiers with an accuracy of 91.16 %, a total precision, recall, and f-measure of 91 %.

Aim/Purpose: The growing complexity of the business environment and business processes as well as the Big Data phenomenon has an impact on every area of human activity nowadays. This new reality challenges the effectiveness of traditional narrowly oriented professional education. New areas of competences emerged as a synergy of multiple knowledge areas – transdisciplines. Informing Science and Data Science are just the first two such new areas we may identify as transdisciplines. Universities are facing the challenge to educate students for those new realities. Background: The purpose of the paper is to share the authors’ experience in designing curriculum for training bachelor students in Informing Science as a concentration within an Information Brokerage major, and a master program on Data Science. Methodology: Designing curriculum for transdisciplines requires diverse expertise obtained by both academia and industries and passed through several stages - identifying objectives, conceptualizing curriculum models, identifying content, and development pedagogical priorities. Contribution: Sharing our experience acquired in designing transdiscipline programs will contribute to a transition from a narrow professional education towards addressing 21st-century challenges. Findings: Analytical skills, combined with training in all categories of so-called “soft skills”, are essential in preparing students for a successful career in a transdiciplinary area of activities. Recommendations for Practitioners: Establishing a working environment encouraging not only sharing but close cooperation is essential nowadays. Recommendations for Researchers: There are two aspects of training professionals capable of succeeding in a transdisciplinary environment: encouraging mutual respect and developing out-of-box thinking. Impact on Society: The transition of higher education in a way to meet current challenges. Future Research The next steps in this research are to collect feedback regarding the professional careers of students graduating in these two programs and to adjust the curriculum accordingly.

Aim/Purpose: In a world of rapidly expanding complexity and exponentially increasing data availability, IT-based knowledge management tools will be needed to manage and curate available information. This paper looks at a particular tool architecture that has been previously proposed: The Personal Knowledge Management System (PKMS). The specific focus is on how the proposed architecture conforms to design science principles that relate to how it is likely to evolve. Background: We first introduce some recent informing science and design science research frameworks, then examine how the PKMS architecture would conform to these. Methodology: The approach taken is conceptual analysis. Contribution: The analysis provides a clearer understanding of how the proposed PKMS would serve the diverse-client ambiguous-target (DCAT) informing scenario and how it could be expected to evolve. Findings: We demonstrate how the PKMS informing architecture can be characterized as a “social machine” that appears to conform to a number of principles that would facilitate its long-term evolution. Future Research: The example provided by the paper could serve as a model future research seeking to integrate design science and informing science in the study of IT artefacts.

Table of Contents for Volume 22 of Informing Science: the International Journal of an Emerging Transdiscipline, 2019

Aim/Purpose: The Informing Science Institute (ISI) is an informing system, designed using informing science principles, for the express purpose of informing researchers who study problems related to informing. This paper describes the ISI as an applied instance of an informing system and analyzes the channels, informers, and clients of the ISI. Background: This paper begins with a brief overview of the current activity of the ISI, as well as an introduction to informing science philosophy and an explanation of the need for a transdiscipline. The ISI is a non-profit organization that provides several informing channels, including 13 open-access, peer-reviewed journals, as well as conferences, books, and outreach activities. Methodology: Statistical analyses of the authors, institutions, and countries of origin were conducted for every ISI paper published between 1998 and December of 2019. Additionally, interviews were conducted with 5 current and former Editors-in-Chief of ISI journals. Contribution: This paper provides a current description and analysis of the ISI informing system’s channels, informers, and clients. Findings: The ISI has published over 4,100 articles by over 4,500 authors from over 600 universities. Statistical analyses of articles published in ISI journals demonstrated that the ISI is characterized in part by robust international participation, with significant participation by authors from countries that have been traditionally under-represented in academic publications. The ISI achieved these outcomes through the use of the philosophical principles and design guidelines for informing science.

Aim/Purpose: The aim is to explore the informing flows framework as interactions within a PhD education practicing a work-integrated learning approach in order to reveal both the perspectives of industrial PhD students and of industry. Background: An under-researched field of university-industry collaboration is explored revealing both the perspectives of industrial PhD students and of industry. Methodology: Qualitative methods were applied including interviews and document studies. In total ten semi-structured interviews in two steps were conducted. The empirical context is a Swedish PhD program in informatics with a specialization in work-integrated learning. Contribution: By broadening the concept of work-integrated learning, this paper contributes empirical results on benefits and challenges in university-industry collaboration focusing on industrial PhD students and industry by applying the informing flows framework. Findings: Findings expose novel insights for industry as well as academia. The industrial PhD students are key stakeholders and embody the informing flows between practice and university and between practice and research. They are spanning boundaries between university and industry generating continuous opportunities for validation and testing of empirical results and models in industry. This may enable increased research quality and short-lag dissemination of research results as well as strengthened organizational legitimacy. Recommendation for Researchers: Academia is recommended to recognize the value of the industrial PhD students’ pre-understanding of the industry context in the spirit of work-integrated learning approach. The conditions for informing flows between research and practice need to continuously be maintained to enable short-term societal impact of research for both academia and industry. For practitioners: This explorative study show that it is vital for practice to recognize that challenges do exist and need to be considered to strengthen industrial PhD pro-grams as well as university-industry collaborations. Additionally, it is of importance to formalize a continuously dissemination of research in the industries. Future Research: Future international and/or transdisciplinary research within this field is encouraged to include larger samples covering other universities and a mix of industrial contexts or comparing industrial PhD students in different phases of their PhD education.

Aim/Purpose: As traditional Knowledge Management (KM) struggles to support the personal needs of knowledge workers in a new era of accelerating information abundance, we examine the shortcomings and put forward alternative scenarios and architectures for developing a novel Personal KM System (PKMS). Background: While prior publications focused on the complementing features compared to conventional dynamic KM models, our emphasis shifts to instantiating a flourishing PKMS community supported by a Digital Platform Ecosystem. Methodology: Design science research focusing on conceptual analysis and prototyping. Contribution: The PKMS concept advances the understanding of how digital platform communities may serve members with highly diverse skills and ambitions better to gainfully utilize the platform’s resources and generative potential in their personal and local settings. Findings: We demonstrate how the needs to tackle attention-consuming rising entropy and to benefit from generative innovation potentials can be addressed. Future Research: As this article has iteratively co-evolved with the preparing of a PKMS implementation, business, and roll-out plan, the prototype’s testing, completion, and subsequent migration to a viable system is of primary concern.

Aim/Purpose: There is a need to find a way to utilize narrative storytelling in film to make students more aware of the impacts of global problems and how they are perceived. Background: Two films from the year 2015 from two very different places in the world explore the encroachment and secondary effects of urban civilization upon indigenous cultures. Methodology: An interpretive, qualitative, methodology was used in addressing and discussing the use of these two films as a persuasive communication teaching aid. Contribution: This paper offers an approach to using narratives of films on indigenous issues in education to inform students about real-world issues and the wide impacts of those on various cultures and populations. Findings: Through the discussion of the two films, we suggest that using films with indigenous themes is beneficial to a course curriculum in a variety of subjects from communication to history and politics, to help students visualize the problems at hand. Anecdotally, the authors note that students are more engaged and willing to discuss topics if they have watched films or clips that deal with those topics than if they have simply read about them. Recommendation for Researchers: Technology and use of visuals are used as teaching tools in a variety of fields. Film narratives can be used as a teaching tool in multiple fields and provide insight about a variety of ideas. Identifying films such as those with indigenous themes provides an example of how one film can bring up multiple, real-world, topics and through led discussion student reflection can potentially lead to self-insights and have lasting impacts. Future Research: Additional research and assessment can be done on the impact of teaching with films and their compelling story telling of issues, and what types of questions should be asked to maximize learning and the impact of film narratives.