The purpose of this investigation is to define the architecture of computer informing systems. The methodology is based on an interdisciplinary, big-picture view of the cognition units which provide the foundation for informing systems. Among the findings are the following: informing systems should be designed for rigor and relevance with respect to the cognitive units (information), integrating its purpose and goal to achieve its expected utility; informing systems should also be designed for reasoning richness, informing modes, informing quality, and predicting informing biases and filters. Practical implications: A well-designed informing system should provide as an output a message and resonant change by reflecting information that triggers the client’s behavior. Social implication: The quest for the development of informing systems is not supported by Academia in practice; it is only supported by a close circle of early leaders of such systemic applications who sought to enhance the existing information systems which very often process data but do not inform as they should. Originality: This investigation, by providing an interdisciplinary and graphic modeling of informing channels and systems, indicates the vitality of these systems and their potential to create better decision-making in order to solve problems and sustain organizations and civilization.

Tensions are a ubiquitous feature of social life and are manifested in a number of particular forms: contradictory logics, competing demands, clashes of ideas, contradictions, dialectics, irony, paradoxes, and/or dilemmas. This essay aims to explore in detail tensions surrounding seven common findings of the information seeking literature relating to: interpersonal communication, accessibility, level of skill, individual preferences, psychological limits, inertia, and costs. Our incomplete understanding of these tensions can lead us to suggest resolutions that do not recognize their underlying dualities. Human information behavior stands at the intersection of many important theoretical and policy issues (e.g., personalized medicine). Policy makers need to be more attuned to these basic tensions of information seeking recognizing the real human limits they represent to informing the public. So, even if you build a great information system, people will not necessarily use it because of the force of these underlying tensions. While rationality rules systems, irrationality rules people. The proliferation of navigator roles over the last several years is actually a hopeful sign: recognition that people need a human interface to inform them about our ever more complex health care systems.

Understanding of social network structure and user behavior has important implications for site design, applications (e.g., ad placement policies), accurate modeling for social studies, and design of next-generation infrastructure and content distribution systems. Currently, characterizations of social networks have been dominated by topological studies in which graph representations are analyzed in terms of connectivity using techniques such as degree distribution, diameter, average degree, clustering coefficient, average path length, and cycles. The problem is that these parameters are not completely satisfactory in the sense that they cannot account for individual events and have only limited use, since one can produce a set of synthetic graphs that have the exact same metrics or statistics but exhibit fundamentally different connectivity structures. In such an approach, a node drawn as a small circle represents an individual. A small circle reflects a black box model in which the interior of the node is blocked from view. This paper focuses on the node level by considering the structural interiority of a node to provide a more fine-grained understanding of social networks. Node interiors are modeled by use of six generic stages: creation, release, transfer, arrival, acceptance, and processing of the artifacts that flow among and within nodes. The resulting description portrays nodes as comprising mostly creators (e.g., of data), receivers/senders (e.g., bus boys), and processors (re-formatters). Two sample online social networks are analyzed according to these features of nodes. This examination points to the viability of the representational method for characterization of social networks.

In today’s knowledge environment, individuals and groups who gather relevant information about the organization’s external environment and distribute that information for use by their colleagues receive increasing attention and are viewed with great importance. These individuals have been named Information Gatekeepers. Thus far, researchers have not established a unanimous and interdisciplinary definition regarding the human information gatekeeper. Nonetheless, a recurrent theme in previous papers regards gatekeepers as a select few throughout the organization. This approach creates two kinds of employees based on a specific set of criteria – those who are gatekeepers and those who are not. The main goal of this research is to examine whether gate keeping is an individual attribute that exists or does not exist within the organization, or whether gate keeping is a continuous attribute that exists within every member and throughout the organization in varying intensity subject to differences in personal characteristics and other factors. We find that evidence to the existence of latter approach is significant and suggest practical recommendations that arise from these findings.

This paper discusses applications of the measures of the risk of misinforming and the role of the warranty of misinforming in the context of the informing component of Customer Related Management (CRM) issues. This study consists of two parts. Firstly, we propose an approach for customers’ grouping based on their attitude toward assessing product's properties and their expertise on the terminology/domain of the seller’s message describing the product. Also we discuss what the most appropriate personal/group warranty is for each of these group/clusters. 

This paper identifies areas in the design science research (DSR) subfield of the information systems (IS) discipline where a more detailed consideration of practitioner audiences of socio-technical design artifacts could improve current IS DSR research practice and proposes an initial conceptualization of these audiences. The consequences of not considering artifact audiences are identified through a critical appraisal of the current informing science lenses in the IS DSR literature. There are specific shortcomings in four areas: 1) treating practice stakeholders as a too homogeneous group, 2) not explicitly distinguishing between social and technical parts of socio-technical artifacts, 3) neglecting implications of the artifact abstraction level, and 4) a lack of explicit consideration of a dynamic or evolutionary fitness perspective of socio-technical artifacts. The findings not only pave the way for future research to further improve the conceptualization of artifact audiences, in order to improve the informing power – and thus, impact on practice and research relevance – of IS DSR projects; they can also help to bridge the theory-practice gap in other disciplines (e.g. computer science, engineering, or policy-oriented sociology) that seek to produce social and/or technical artifacts of practical relevance.

The article presents Personal Knowledge Management (PKM) as an overdue individualized as well as a collaborative approach for knowledge workers. Designing a PKM-supporting system, however, resembles a so-called “wicked” problem (ill-defined; incomplete, contradictory, changing requirements, complex interdependencies) where the information needed to understand the challenges depends on upon one’s idea for solving them. Accordingly, three main areas are attended to. Firstly, in dealing with a range of growing complexities, the notion of Popper’s Worlds is applied as three distinct spheres of reality and further expanded into six digital ecosystems (technologies, extelligence, society, knowledge worker, institutions, and ideosphere) that not only form the basis for the PKM System Concept named ‘Knowcations’ but also form a closely related Personal Knowledge Management for Development (PKM4D) framework detailed in a separate dedicated paper. Reflecting back on a United Nations scenario of knowledge mass production (KMP) over time, the complexities closely related to the digital ecosystems and the inherent risks of today’s accelerating attention-consuming over-abundance of redundant information are scrutinized, concluding in a chain of meta-arguments favoring the idea of the PKM concept and system put forward. Secondly, in light of the digital ecosystems and complexities introduced, the findings of a prior article are further refined in order to assess the PKM concept and system as a potential General-Purpose-Technology. Thirdly, the development process and resulting prototype are verified against accepted general design science research (DSR) guidelines. DSR aims at creating innovative IT artifacts (that extend human and social capabilities and meet desired outcomes) and at validating design processes (as evidence of their relevance, utility, rigor, resonance, and publishability). Together with the incorporated references to around thirty prior publications covering technical and methodological details, a kind of ‘Long Discussion Case’ emerges aiming to potentially assist IT researchers and entrepreneurs engaged in similar projects.

Certain trends in scientific research have important relevance to bioethics theory and practice. A growing stream of literature relates to increasing transparency and inclusivity of populations (stakeholders) in scientific research, from high volume data collection, synthesis, and analysis to verification and ethical scrutiny. The emergence of this stream of literature has implications for bioethics theory and practice. This paper seeks to make explicit these streams of literature and to relate these to bioethical issues, through consideration of certain extreme examples of scientific research where bioethical engagement is vital. Implications for theory and practice are derived, offering useful insights derived from multidisciplinary theory. Arguably, rapidly developing fields of citizen science such as informing science and others seeking to maximise stakeholder involvement in both research and bioethical engagement have emerged as a response to these types of issues; radically enhanced stakeholder engagement in science may herald a new maximally inclusive and transparent paradigm in bioethics based on lessons gained from exposure to increasingly uncertain ethical contexts of biomedical research.

In the fast changing global economic landscape, the cultivation of sustainable entrepreneurial ventures is seen as a vital mechanism that will enable businesses to introduce new innovative products to the market faster and more effectively than their competitors. This research paper investigated phenomena that may play a significant role when entrepreneurs implement creative ideas resulting in successful technology enabled start-ups within the South African market place. Constant and significant changes in technology provide several challenges for entrepreneurship. Various themes such as innovation, work experience, idea generation, education and partnership formation have been explored to assess their impact on entrepreneurship. Reflection and a design thinking approach underpinned a rigorous analysis process to distill themes from the data gathered through semi structured interviews. From the findings it was evident that the primary success influencers include the formation of partnership, iterative cycles, and certain types of education. The secondary influencers included the origination of an idea, the use of innovation. and organizational culture as well as work experience. This research illustrates how Informing Science as a transdisicpline can provide a philosophical underpinning to communicate and synthesise ideas from constituent disciplines in an attempt to create a more cohesive whole. This diverse environment, comprising people, technology, and business, requires blending different elements from across diverse fields to yield better science. With this backdrop, this preliminary study provides an important foundation for further research in the context of a developing country where entrepreneurial ventures may have a socio-economical impact. The themes that emerged through this study could provide avenues for further research.

The privacy of personal information is an important area of focus in today’s electronic world, where information can so easily be captured, stored, and shared. In recent years it has regularly featured as a topic in news media and has become the target of legislation around the world. Multidisciplinary privacy research has been conducted for decades, yet privacy remains a complex subject that still provides fertile ground for further investigation. This article provides a narrative overview of the nature of information privacy, describing the complexities and challenges that consumers and organizations face when making decisions about it, in order to demonstrate its importance to both groups. Based on this work, we present a transdisciplinary view of information privacy research linking the consumer and organization. It illustrates areas of concern for consumers and organizations together with the factors that influence the decisions they make about information privacy. By providing such a view we hope to encourage further cross-disciplinary research into this highly pertinent area.

Based on the diffusion of innovation (DOI) theory (Rogers, 2003), the uses and gratifications (U&G) theory, and trust theory, this study investigated the factors that influence the use of Twitter among the Kuwaiti community. The study surveyed Twitter users in Kuwait. A structured online questionnaire was used to collect data, and 463 respondents who provided complete answers participated. Multiple regression analysis was used to examine the effect of three theoretical perspectives on Twitter usage. The result of the analysis showed that Twitter usage is better explained by DOI constructs than by U&G constructs. The findings indicated that the perceived relative advantage from DOI, and the need for information, need to pass time, and need for interpersonal utility from the U&G approach, have a direct positive significant effect on the use of Twitter. None of the trust theory constructs was found to be significant in predicting the general use of Twitter. The study results help Twitter providers and users in individual or organizational contexts to understand what factors generally affect the usage of the Twitter service.

Non-expert scientists are frequently involved in research requiring data acquisition over large geographic areas. Despite mutual benefits for such “citizen science”, barriers also exist, including 1) difficulty maintaining user engagement with timely feedback, and 2) the challenge of providing non-experts with the means to generate reliable data. We have developed a system that addresses these barriers. Our technologies, KnoWare and InSpector, allow users to: collect reliable scientific measurements, map geo-tagged data, and intuitively visualize the results in real-time. KnoWare comprises a web portal and an iOS app with two core functions. First, users can generate scientific ‘queries’ that entail a call for information posed to a crowd with customized options for participant responses and viewing data. Second, users can respond to queries with their GPS-enabled mobile device, which results in their geo- and time-stamped responses populating a web-accessible map in real time. KnoWare can also interface with additional applications to diversify the types of data that can be reported. We demonstrate this capability with a second iOS app called InSpector that performs quantitative water quality measurements. When used in combina-tion, these technologies create a workflow to facilitate the collection, sharing and interpretation of scientific data by non-expert scientists.

The main aim of this paper is to provide a theoretically and empirically grounded discussion on IT-based organizational creativity support. This study attempts to answer the following questions: (1) what is the issue of organizational creativity and its IT-based support, (2) what is the demand for IT –based organizational creativity support; (3) what are the main determinants and barriers to IT-based organizational creativity support; and (4) what success factors are crucial for IT-based organizational creativity support. This paper presents the analysis results of a survey conducted in 25 selected organizations. The paper provides valuable information on the possibilities of IT applications in organizational creativity support as well as the associated success factors. It makes useful contribution to our better understanding of IT-based organizational creativity support issues.

Group work can provide a valuable learning experience, one that is especially relevant for those preparing to enter the information system workforce. While much has been discussed about effective means of delivering the benefits of collaborative learning in groups, there are some problems that arise due to pragmatic environmental factors such as the part time work commitments of students. This study has identified a range of problems and reports on a longitudinal Action Research study in two universities (in Australia and the USA). Over three semesters problems were identified and methods trialed using collaborative tools. Several promising solutions are presented to the identified problems. These include the use of Google documents and color to ensure team contributions are more even.

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: 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: 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: 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: 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: 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.

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: 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: 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.