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.

Aim/Purpose: The paper introduces new concepts including cognitive mapping, cognitive message processing, and message resonance. Background: This paper draws upon philosophy, psychology, physiology, communications, and introspection to develop the theory of cognitive mapping. Methodology: Theory development Contribution: The theory offers new ways to conceptualize the informing process. Findings: Cognitive mapping has a far-reaching explanatory power on message resonance. Recommendation for Researchers: The theory of cognitive mapping offers a new conceptualization for those exploring the informing process that is ripe for exploration and theory testing. Future Research: This paper forms a building block toward the development of a fuller model of the informing process.

Aim/Purpose: Explores the interrelationships between uncertainty, motivation, and IT readiness when predicting IOS adoption among small businesses. Background: Small business IOS adoption is proportionally low in most countries worldwide. Methodology: Uses a sample of small businesses and PLS structural-equations path modelling approach. Contribution: Uncertainty is an underexplored construct in information systems research, and our research shows that it plays a significant role in IOS adoption among small businesses Findings: The findings support that uncertainty has a negative effect on intent to adopt IOS and that motivation and IT readiness have a positive effect. Recommendation for Researchers: To alleviate uncertainty, an effort to win over small business managers to IOS over the internet must encompass accessible information, security provisions, low-cost product, simple interfaces, and system adaptability to existing provisions in the IOS network. The uncertainty perspective has not been tested extensively empirically, especially not in the context of technology adoption, and needs further investigation. Future Research: Future research could explore the uncertainty construct in the context of IOS among different size businesses

Aim/Purpose: The rise of virtual communication technologies and hybrid work contexts has brought significant changes to leadership dynamics, highlighting the need for effective management of teams operating in both face-to-face and virtual settings, known as hybrid teams. Background: This systematic review examines leadership models utilized in face-to-face and virtual teams, factors contributing to leadership emergence in these contexts, and effective strategies for leading hybrid teams. Methodology: In this study, three scientific databases were searched, resulting in the retrieval of 1,707 studies. These studies were then subjected to a review process following the PRISMA guidelines, ultimately leading to the inclusion of 15 research contributions in the final review. Contribution: Given the results, key strategies for practitioners include the development of strong communication skills, providing constructive feedback, and implementing efficient remote management techniques. Findings: The findings emphasize three prominent leadership models – transformational leadership, leader-member exchange (LMX), and shared leadership – all of which play crucial roles in hybrid team settings. Personality factors drive leadership emergence in face-to-face settings, while virtual settings benefit more from task-related behaviors. Recommendation for Researchers: This review informs researchers seeking to enhance leadership efficacy in modern group settings, aiding leaders in navigating the complexities of hybrid team environments.

By Barbara Rasin, J.D. Candidate, 2027 In Anderson v. TikTok, decided in in late summer 2024, the Third Circuit Court of Appeals held that TikTok’s “For You Page” algorithm was sufficiently creative to bar its protection under §230 of the Communications Decency Act (CDA). This is a significant step towards ...

The post Expanding TikTok’s Liability for the “For You Page” appeared first on Berkeley Technology Law Journal.

This work demonstrates a hybrid deep learning (DL) model for lung cancer (LC) detection using CT images. Firstly, the input image is passed to the pre-processing stage, where the input image is filtered using a BF and the obtained filtered image is subjected to lung lobe segmentation, where segmentation is done using squeeze U-SegNet. Feature extraction is performed, where features including entropy with fuzzy local binary patterns (EFLBP), local optimal oriented pattern (LOOP), and grey level co-occurrence matrix (GLCM) features are mined. After completing the extracting of features, LC is detected utilising the hybrid efficient-ShuffleNet (HES-Net) method, wherein the HES-Net is established by the incorporation of EfficientNet and ShuffleNet. The presented HES-Net for LC detection is investigated for its performance concerning TNR, and TPR, and accuracy is established to have acquired values of 92.1%, 93.1%, and 91.3%.

An optimisation-based decision-making support is proposed in this study in the form of fuzzy-probabilistic programming, which can be used to solve integrated order allocation, production planning, and inventory management problems in fuzzy and probabilistic uncertain environments. The problem was modelled in an uncertain mathematical optimisation model with two objectives: maximising the expectation of production volume and minimising the expectation of total operational cost subject to demand and other constraints. The model belongs to fuzzy-probabilistic bi-objective integer linear programming, and the generalised reduced gradient method combined with the branch-and-bound algorithm was utilised to solve the derived model. Numerical simulations were performed to illustrate how the optimal decision was formulated. The results showed that the proposed decision-making support was successful in providing the optimal decision with the maximum expectation of the production volume and minimum expectation of the total operational cost. Therefore, the approach can be implemented by decision-makers in manufacturing companies.

Lihan TONG,Weijia LI,Qingxia YANG,Liyuan CHEN,Peng CHEN, Vol.E107-D, No.11, pp.1472-1475
We present Ksformer, utilizing Multi-scale Key-select Routing Attention (MKRA) for intelligent selection of key areas through multi-channel, multi-scale windows with a top-k operator, and Lightweight Frequency Processing Module (LFPM) to enhance high-frequency features, outperforming other dehazing methods in tests.
Publication Date: 2024/11/01

Congcong FANG,Yun JIN,Guanlin CHEN,Yunfan ZHANG,Shidang LI,Yong MA,Yue XIE, Vol.E107-D, No.11, pp.1463-1467
Currently, an increasing number of tasks in speech emotion recognition rely on the analysis of both speech and text features. However, there remains a paucity of research exploring the potential of leveraging large language models like GPT-3 to enhance emotion recognition. In this investigation, we harness the power of the GPT-3 model to extract semantic information from transcribed texts, generating text modal features with a dimensionality of 1536. Subsequently, we perform feature fusion, combining the 1536-dimensional text features with 1188-dimensional acoustic features to yield comprehensive multi-modal recognition outcomes. Our findings reveal that the proposed method achieves a weighted accuracy of 79.62% across the four emotion categories in IEMOCAP, underscoring the considerable enhancement in emotion recognition accuracy facilitated by integrating large language models.
Publication Date: 2024/11/01

Qinghua WU,Weitong LI, Vol.E107-D, No.11, pp.1422-1432
Multi-focus image fusion involves combining partially focused images of the same scene to create an all-in-focus image. Aiming at the problems of existing multi-focus image fusion algorithms that the benchmark image is difficult to obtain and the convolutional neural network focuses too much on the local region, a fusion algorithm that combines local and global feature encoding is proposed. Initially, we devise two self-supervised image reconstruction tasks and train an encoder-decoder network through multi-task learning. Subsequently, within the encoder, we merge the dense connection module with the PS-ViT module, enabling the network to utilize local and global information during feature extraction. Finally, to enhance the overall efficiency of the model, distinct loss functions are applied to each task. To preserve the more robust features from the original images, spatial frequency is employed during the fusion stage to obtain the feature map of the fused image. Experimental results demonstrate that, in comparison to twelve other prominent algorithms, our method exhibits good fusion performance in objective evaluation. Ten of the selected twelve evaluation metrics show an improvement of more than 0.28%. Additionally, it presents superior visual effects subjectively.
Publication Date: 2024/11/01

Zhigang WU,Yaohui ZHU, Vol.E107-D, No.11, pp.1385-1395
This article focuses on improving the BiSeNet v2 bilateral branch image segmentation network structure, enhancing its learning ability for spatial details and overall image segmentation accuracy. A modified network called “BiconvNet” is proposed. Firstly, to extract shallow spatial details more effectively, a parallel concatenated strip and dilated (PCSD) convolution module is proposed and used to extract local features and surrounding contextual features in the detail branch. Continuing on, the semantic branch is reconstructed using the lightweight capability of depth separable convolution and high performance of ConvNet, in order to enable more efficient learning of deep advanced semantic features. Finally, fine-tuning is performed on the bilateral guidance aggregation layer of BiSeNet v2, enabling better fusion of the feature maps output by the detail branch and semantic branch. The experimental part discusses the contribution of stripe convolution and different sizes of empty convolution to image segmentation accuracy, and compares them with common convolutions such as Conv2d convolution, CG convolution and CCA convolution. The experiment proves that the PCSD convolution module proposed in this paper has the highest segmentation accuracy in all categories of the Cityscapes dataset compared with common convolutions. BiConvNet achieved a 9.39% accuracy improvement over the BiSeNet v2 network, with only a slight increase of 1.18M in model parameters. A mIoU accuracy of 68.75% was achieved on the validation set. Furthermore, through comparative experiments with commonly used autonomous driving image segmentation algorithms in recent years, BiConvNet demonstrates strong competitive advantages in segmentation accuracy on the Cityscapes and BDD100K datasets.
Publication Date: 2024/11/01

The Republic of India has witnessed an enormous leap in financial transactions after a sudden demonetisation in 2016. The study represents an in-depth analysis of the factors influencing e-wallets usage post-COVID situation covering the National Capital Region. The scientifically collected data were subjected to Pearson's correlation to recognise the correlation amongst the selected e-wallets. The usage of e-wallets is observed mainly during recharge, UPI payments, and utility payments. Through psychometric response and interaction analysis, six factors were selected and examined for data distribution and stable observation using standard deviation and variance coefficient. The coefficient of variance for six factors was observed ≤ 1. The weight of the factors noted to be secured way (0.184), to take advantage of cashback (0.182), low risk of theft (0.169), fast service (0.1689), ease to use (0.156), and saves time (0.139) using principal component eigenvectors analysis. Freecharge and Tez wallets reveal a maximum 99.2% correlation.

Background and Objective: In response to the challenges of poor mapping outcomes and susceptibility to obstacles encountered by indoor mobile vehicles relying solely on pure cameras or pure LiDAR during their movements, this paper proposes an obstacle avoidance method for indoor mobile vehicles that integrates image and LiDAR data, thus achieving obstacle avoidance for mobile vehicles. Materials and Methods: This method combines data from a depth camera and LiDAR, employing the Gmapping SLAM algorithm for environmental mapping, along with the A* algorithm and TEB algorithm for local path planning. In addition, this approach incorporates gesture functionality, which can be used to control the vehicle in certain special scenarios where “pseudo-obstacles” exist. The method utilizes the YOLO V3 algorithm for gesture recognition. Results: This paper merges the maps generated by the depth camera and LiDAR, resulting in a three-dimensional map that is more enriched and better aligned with real-world conditions. Combined with the A* algorithm and TEB algorithm, an optimal route is planned, enabling the mobile vehicles to effectively obtain obstacle information and thus achieve obstacle avoidance. Additionally, the introduced gesture recognition feature, which has been validated, also effectively controls the forward and backward movements of the mobile vehicles, facilitating obstacle avoidance. Conclusion: The experimental platform for the mobile vehicles, which integrates depth camera and LiDAR, built in this study has been validated for real-time obstacle avoidance through path planning in indoor environments. The introduced gesture recognition also effectively enables obstacle avoidance for the mobile vehicles.

CEO severance has captured the attention of a wide array of audiences, yet it remains largely unexplored by management scholars. This paper offers a rigorous theoretical examination of CEO severance with the goal of developing a foundation for a systematic research agenda. In particular, we consider if, and how, severance agreements can be effective in serving the interests of both CEOs and shareholders. We argue that severance agreements have potential value as both an executive recruitment and governance tool, but that the way they are conventionally structured undermines the value that shareholders realize from them. The implications of structure have been almost entirely overlooked by scholars, perhaps because the influence of compensation consultants has left little variance in how severance agreements are implemented across firms. We address this gap by theorizing about how severance agreements could be structured to effectively generate value for executives and shareholders. To do this, we introduce a categorization of key dimensions of CEO severance agreements, and consider how each of these dimensions can be structured to facilitate CEO recruiting, while simultaneously mitigating future governance problems. Our propositions offer new opportunities for governance and compensation scholars to link CEO severance agreements to important organizational outcomes.

Calls for greater diversity in management research, education and practice have increased in recent years, driven by a sense of fairness and ethical responsibility, but also because research shows that greater diversity of inputs into management processes can lead to greater innovation. But how can greater diversity of thought be encouraged when educating management students, beyond the advocacy of affirmative action and relating the research on the link between multiplicity and creativity? One way is to think again about how we introduce the subject. Introductory textbooks often begin by relaying the history of management. What is presented is a very limited mono-cultural and linear view of how management emerged. This article highlights the limits this view outlines for initiates in contrast to the histories of other comparable fields (medicine and architecture), and discusses how a wider, deeper and more engaged understanding of history can foster thinking differently.

'What's going on?' Within the context of our critically-informed teaching practice, we see moments of deep learning and reflexivity in classroom discussions and assessments. Yet, these moments of criticality are interspersed with surface learning and reflection. We draw on dichotomous, linear developmental, and messy explanations of learning processes to empirically explore the learning journeys of 20 international Chinese and 42 domestic New Zealand students. We find contradictions within our own data, and between our findings and the extant literature. We conclude that expressions of surface learning and reflection are considerably more complex than they first appear. Moreover, developing critical reflexivity is a far more subtle, messy, and emotional experience than previously understood. We present the theoretical and pedagogical significance of these findings when we consider the implications for the learning process and the practice of management education.

We consider how social and psychological connections among CEOs explain the propensity for corporate leaders to distance themselves socially from journalists who engage in negative reporting about firm leadership at other companies, and we examine the consequences for the valence of journalists' subsequent coverage. Our theoretical framework suggests that journalists who have engaged in negative coverage of a firm's leadership and strategy are especially likely to experience distancing from other leaders who (i) have friendship ties to the firm's CEO, (ii) are demographically similar to the CEO on salient dimensions, or (iii) are socially identified with the CEO as a fellow member of the corporate elite. Our theory and findings ultimately suggest that, due to the multiple sources of social identification between CEOs, journalists who engage in negative coverage of firm leadership tend to experience social distancing from multiple CEOs, and such distancing has a powerful influence on the valence of journalists' subsequent reporting about firm leadership and strategy across all the firms that they cover. We also extend our theoretical framework to suggest how the effect of social distancing on the valence of journalists' coverage is moderated by the early and late stages of a journalist's career.

Theories of status rarely address unearned status gain—an unexpected and unsolicited increase in relative standing, prestige or worth, attained not through individual effort or achievement, but from a shift in organizationally valued characteristics. We build theory about unearned status gain drawing from a qualitative study of 90 U.S.-based employees of a Japanese organization following a company-wide English language mandate. These native English-speaking employees believed that the mandate elevated their worth in the organization, a status gain they attributed to chance, hence deeming it unearned. They also reported a heightened sense of belonging, optimism about career advancement, and access to expanded networks. Yet among those who interacted regularly with Japanese counterparts, narratives also revealed discomfort, which manifested in at least two ways. These informants engaged in "status rationalization," emphasizing the benefits Japanese employees might obtain by learning English, and prevaricated on whether the change was temporary or durable, a process we call "status stability appraisal." The fact that these narratives were present only among those working closely with Japanese employees highlights intergroup contact as a factor in shaping the unearned status gain experience. Supplemental analysis of data gathered from 66 Japanese employees provided the broader organizational context and the nonnative speakers' perspective of the language shift. These findings expand our overall understanding of status dynamics in organizations, and show how status gains can yield both positive and negative outcomes.

Management educators often assume that research-based arguments ought to be convincing to students. However, college students do not always accept even well-documented research findings. Among the reasons this might happen, we focus on the potential role of psychological mechanisms triggered by scholarly arguments that affect students' self-concepts, leading them to engage in self-enhancing or self-protective responses. We investigated such processes by examining students' reactions to a research argument emphasizing the importance of intelligence to job performance, in comparison to their reactions to research arguments emphasizing the importance of emotional intelligence and/or fit. Consistent with our predictions, students were less likely to accept the argument for the importance of intelligence compared to the alternative, less threatening, arguments (i.e., the importance of emotional intelligence or fit). Further, acceptance of the argument about the importance of intelligence was affected by students' grade point average (GPA) and moderated by their emotional stability. Specifically, consistent with self-enhancement theory, students with lower GPAs were more likely to reject the argument for intelligence and give self-protective reasons for their responses, whereas students with higher GPAs were more likely to accept the argument and give self-enhancing reasons. Implications for future research and for management teaching are discussed.

While many studies explain how social science theories shape social reality, few reflect critically on how such theories should shape social reality. Drawing on a new conception of social welfare and focusing on financial regulation, we assess the performative effects of theories on public policy. We delineate how research that focuses narrowly on questions of efficiency and stability reinforces today's technocratic financial regulation that undermines social welfare. As a remedy, we outline how future management research can tackle questions of social justice and thereby promote an inclusive approach to financial regulation that better serves social welfare.

Based on a multi-year field study of early-stage drug discovery project teams at a global pharmaceutical company, this paper examines how multidisciplinary teams engaged in knowledge creation combine formal and informal coordination mechanisms when faced with unpredictable interdependencies among specialists' knowledge domains. While multidisciplinary teams are critical for knowledge creation in increasingly specialized work environments, the coordination literature has been divided with respect to the extent to which such teams rely on formal coordination structures and informal coordination practices. Our findings show that when interdependencies among knowledge domains are dynamic and unpredictable, specialists design self-managed (sub-)teams around collectively held assumptions about interdependencies based on incomplete information (conjectural interdependencies). These team structures establish the grounds for informal coordination practices that enable specialists to both manage known interdependencies and reveal new interdependencies. Newly revealed interdependencies among knowledge domains, in turn, promote structural adaptation. Drawing on these findings, we advance an integrative model explaining how team-based knowledge creation relies on the mutual constitution of formal coordination structures and informal coordination practices. The model contributes to theory on organizational design and practice-based research on coordination in cross-disciplinary knowledge creation.

Competitive dynamics theory overlooks an entire class of attackers who pose a serious threat to commercial firms—nonmarket players (NMPs) such as activists, environmentalists, social entrepreneurs, and NGOs. Using an institutional perspective, this conceptual manuscript advances competitive dynamics theory by developing a framework of organizational hostility. The framework profiles NMPs according to their propensity to engage firms; it also classifies firms based on their vulnerability and initial reaction to NMP attacks. Corroborated with a mathematical model (Appendix), the conceptual framework explains which NMPs are most hostile to firms; why some NMPs issue threats whereas others quickly strike commercial firms; and which firms are most vulnerable to such hostility.

This study investigates Anglo expatriate managers learning, knowledge acquisition, and adjustment to the host culture when working within Anglo multi-national companies operating in China. A structural equation model based on data from 121 expatriate managers reveal that Anglo managers adjust more effectively when their learning styles are congruent with the demands of the host culture. Their levels of accumulated managerial tacit knowledge and adaptive flexibility were also associated with their learning styles which in turn led to more effective adjustment to the host culture. Implications for theory, global manager development, and expatriate management are provided.

Social welfare, or the good society, is of central concern to the Academy of Management. In this paper, we review the concept of social welfare, suggesting that regardless of discipline, social welfare is defined as a multi-dimensional phenomenon. We then review the literature on the corporate objective within a market economy, where the dominant view is that of a single-objective function. Analyzing this view, we argue for a multi-dimensional objective for organizations in order to meet social welfare objectives: where decision making within a market economy better utilizes the benefits of markets. We suggest that improvements in social welfare are possible where markets are better-enabled to operate among stakeholders unconstrained by some single-valued objective. In doing so, we respond to the critics of stakeholder theory who argue that it is an untenable theory due to its inability to specify how stakeholder objectives are to be prioritized.

Drawing on theories of behavioral decision making and situational strength, we developed and tested a multilevel model that explains how the performance outcomes of personal initiative tendency depend on the extent of alignment between organizational control mechanisms and proactive individuals' risk propensities. Results from a sample of 383 middle managers operating in 34 business units of a large multinational corporation indicated that risk propensity weakens the positive relationship between personal initiative tendency and job performance. This negative moderating effect was further amplified when middle managers receive high job autonomy but was attenuated in business units with a strong performance management context. We discuss the implications of these findings for research on proactivity, risk taking, and organizational control.

We argue that employees who perceive that they are provided with a safe climate at work within which to voice their concerns and suggestions about work-related issues or problems will not only be more engaged employees but will also be likely to be more engaged and involved members of their communities. By focusing on the importance of employee voice opportunities, in work organizations, we seek to build our understanding of how to create "positive" organizations that contribute to the building of human potential, both inside the organizational setting and outside in our communities and societies. We also consider how employee voice opportunities in for-profit organizations may be influenced by the law and prevailing attitudes about corporate governance.

We examine how top management team (TMT) misfit, defined as discrepancies between the TMT's functional roles and the qualifications of the managers who fill those roles, affects the evolution of TMT composition and structure in a longitudinal study of entrepreneurial ventures. We distinguish two types of misfit - overqualification and underqualification - and study how each is associated with TMT changes. We further consider the moderating effect of firm development. Results reveal that underqualified TMTs hire new managers to reinforce existing capabilities whereas overqualified TMTs elaborate their role structures. However, achieving developmental milestones (i.e., obtaining venture capital funding and staging an initial public offering) is a critical contingency to TMT change: absent these milestones, firms neither hire new managers nor add roles, even when they seemingly need to do so. These findings contribute to knowledge of how TMTs and new ventures evolve by underscoring the importance of simultaneously attending to TMT composition and structure.

This essay presents a comprehensive briefing on the past and present of a business educational culture that is significantly different in ethos and structure to the widely known systems in the US and UK. That is the history and culture of the French Grandes Ecoles de Commerce. A brief reminder of extant literature on the utility of business education and its seeming misalignment with the competencies and skills as specified by practitioners is then given. Key pressures and trends on and within this system - such as internationalisation, accreditation and a greater emphasis on publications are identified and discussed. These threads are then combined in a partial replication of the work of Dierdorff and Rubin (2006; 2009). Specifically, information on 1582 classes from 542 programmes at the top Grandes Ecoles de Commerce is presented alongside further secondary data and then analysed in respect of alignment with Rubin and Dierdorff's identified behavioural competencies. We argue that whilst well intentioned, the outcome of these pressures may well be that inherent and historical strengths of great value are being discarded, and that the degree of irrelevance and misalignment between educational provision and required managerial competence will stay the same or even get worse.

Research concerning why and how to promote social interaction and learner reflection in management education and training is somewhat underdeveloped. In this investigation, we used a predictive, quasi-experimental design with 246 students from a business school in Colombia who were enrolled in 10 sections of a leadership course to examine expected effects of instructional methods that promoted different levels of social interaction and reflection on self-reported learning behaviors (dialogue and reflection activities), self-efficacy for class performance, and instructors' assessments of students' skill demonstration (team work, communication, influence, and work proficiency and effort). In comparisons to students participating in instructional conditions with less social interaction and fewer reflective activities, students participating in an instructional condition that promoted higher levels of these activities exhibited considerably greater student-student dialogue, instructor-student dialogue, and reflection. These learning behaviors in turn led to enhanced self-efficacy for class performance and skilled activity. In addition, students' perceptions of psychological safety partially mediated relationships between instructional method and dialogical and reflective activities. The implications of these findings for coupling action, dialogue and reflective activities in management education and training as well as avenues for future research are discussed.

Evidence-based management has been widely advocated in management studies. It has great ambition: all manner of organizational problems are held to be amenable to an evidence-based approach. With such ambition, however, has come a certain narrowness which risks restricting our ability to understand the diversity of problems in management studies. Indeed, in the longer term, such narrowness may limit our capacity to engage with many real-life issues in organizations. Having repeatedly heard the case for evidence-based management, we invite readers to weigh up the case against. We also set out an alternative direction - one that promotes intellectual pluralism and flexibility, the value of multiple perspectives, openness, dialogue, and the questioning of basic assumptions. These considerations are the antithesis of an evidence-based approach, but central to a fully rounded management education.

Exit is a critical part of the entrepreneurial process. At the same time, research indicates that founders are likely to form strong identity connections to the organizations they start. In turn, when founders exit their organizations, the process of psychological disengagement might destabilize their identities. Yet, limited research addresses how founders experience exit or how they manage their identities during this process. Through a qualitative, inductive study of founders of technology-based companies, I developed a theoretical model of founder psychological disengagement that delineates how founder work orientations relate to the disengagement paths that founders follow when leaving one organization and starting another. In elaborating theory on psychological disengagement, this study has implications for understanding the psychology of founders, how founders exit and begin again, and psychological disengagement, more broadly.

The work life of misfits - employees whose important values are incongruent with the values of their organization - represents an under-researched area of the person-environment fit literature. The unfortunate reality is that these individuals are likely to be disengaged and unproductive at work. In this manuscript, we entertain the possibility that employees can protect themselves from this situation if they engage in alternative actions that supplement the fundamental needs that go unmet from value incongruence. We integrate theorizing about the motivational role of need fulfillment and work/non-work behaviors in order to examine whether two actions in particular - job crafting and leisure activity - can potentially mitigate the negative effects of value incongruence on employee performance. In a field study of employees from diverse organizations and industries, the results suggest that both job crafting and leisure activity indeed act as a buffer, mitigating the otherwise negative effects of value incongruence on employee engagement and job performance (both task performance and citizenship behavior).

Book Review

Labor codes have been voluntarily adopted and used by manufacturers in emerging economies for the past two decades, as a means of ensuring minimally acceptable or core labor standards for workers. However, far too little is known of the potential benefits from the voluntary adoption of labor codes to the manufacturer, and prior human resource management research has been virtually silent on the business implications of their use for emerging economy manufacturers participating in global supply chains. Drawing on previous work across multiple disciplines and proposing a framework that extends human resource management theory more explicitly and rigorously to the context of emerging economy manufacturing, I theorize and demonstrate that the voluntary adoption of a labor code may constitute an effective human resource investment in emerging economies in improving establishment-level employee outcomes and operational and financial performance. The hypotheses are tested using longitudinal data on a sample of apparel manufacturing plants in Sri Lanka. Implications of this study include providing insight into how to expand the scope and relevance of human resource management theory to better understand research and practice in emerging economies.

Do you teach anyone whom you would consider a member of the next generation of global leaders? If you answered "yes" to this question, you likely teach an audience within which many of its members already possess intercultural experience, have traveled widely, and perhaps speak several languages. These globally minded students demand in-depth learning approaches which help them prepare for complex global leadership settings. Global Leadership Practices is an excellent source of teaching materials and tools targeted to these learners.

Over the past decade, the terms "crisis" and "crisis management" have become increasingly popular topics of interest for business professionals and management academics alike. According to the Institute for Crisis Management (2013), "Newsworthy business crises have been on a steady upward trend since 2009.

This rather difficult read introduces the programming language FSM and the programming platform DrRacket. The author asserts that it is a convenient platform to design and prove an automata-based software

I had one big question after taking on this review: How relevant is this book with the advent of large language models (LLMs)? In the past two years, the launches of OpenAI’s GPT and Google’s Gemma, amongst others, have severely disrupted the study of natural language

One of Britain's most distinguished actors, West was married to Fawlty Towers star Prunella Scales.

Plano Field Ammo Box Heavy-Duty Storage Case - $6.99  each with FREE returns and FREE shipping for order over $35.00.

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KYIV: Russia escalated its attacks on Kyiv early Wednesday, launching waves of drones and missiles in its first combined aerial assault on the capital in more than 70 days, authorities said.

The broadside came as Washington and Seoul echoed warnings from Ukraine that North Korean troops had begun “engaging in combat operations” alongside Russian forces on the border between the warring countries.

A security source in Kyiv meanwhile told AFP that Ukraine was behind the assassination of a high-ranking Russian naval officer in a car bombing on the annexed Crimean peninsula.

Ukraine’s air force said its units had downed four missiles and 37 drones launched by Russia over eight regions of Ukraine overnight and into Wednesday morning.

“It is important that our forces have the means to defend the country from Russian terror,“ President Volodymyr Zelensky said in response to the attack.

Ukraine has for months been appealing to its Western allies to provide more air-defence systems to fend off Russian attacks on cities and critical infrastructure.

The large-scale bombardment comes at a critical moment on the battlefield. Russian forces are advancing in the east and concerns are growing over future aid for Ukraine after US Donald Trump’s victory in presidential elections.

Explosions in Kyiv, residents shelter

AFP journalists heard explosions ring out over Kyiv and saw dozens of residents seeking shelter in an underground metro station in the centre of the capital.

Kyiv officials said one man was wounded by falling debris from a downed drone in the suburb of Brovary, while emergency services distributed images of firefighters battling flames at one impact site.

A separate drone attack in the Ukrainian-controlled southern region of Kherson, which the Kremlin claims is part of Russia, killed a 52-year-old woman, the regional head said.

Multiple air raid sirens rang out early Wednesday as authorities said missiles were closing in on Kyiv, which was home to nearly three million people before Russia invaded in February 2022.

“As missiles were approaching Kyiv, the enemy simultaneously launched a ballistic missile attack on the capital. The enemy attack ended with another drone strike,“ city authorities said.

The attack is the latest in an uptick in escalating strikes on Ukrainian cities, mainly in the south of the war-battered country.

A Russian strike this week on Kryvyi Rig, Zelensky’s hometown, killed a 32-year-old mother and her three children.

The Kremlin has repeatedly denied its forces target civilians in Ukraine, a claim its spokesman repeated Wednesday in response to a question over whether Russian forces were working to minimise civilian casualties.

Crimea assassination

“Russian forces treat the civilian population with great care,“ Kremlin spokesman Dmitry Peskov told reporters, adding that Russia would continue its attacks.

Last week, Moscow and Kyiv launched record overnight drone attacks on each other.

Russian ground forces have been making rapid advances in Ukraine’s eastern Donetsk region, which the Kremlin claims is part of Russia.

On Wednesday, the Russian defence ministry said its troops had wrested control of the village of Rivnopil, where an estimated 98 people lived before the invasion.

As the Kremlin’s forces advance westwards, Kyiv has warned that Russia has amassed a force of 50,000 troops -- including North Korean soldiers -- to push out Ukrainian forces from the Russian border region of Kursk.

In Brussels, US Secretary of State Antony Blinken on Wednesday warned about the deployment of North Korean troops alongside Russian forces fighting on the Ukrainian border.

Blinken said he discussed with NATO chief Mark Rutte the fact that North Korean forces had been “injected into the battle, and now, quite literally, in combat which demands and will get a firm response.”

South Korea’s spy agency said North Korean soldiers were “engaging in combat” in Kursk, hours after US officials confirmed Pyongyang’s troops were actively fighting for Moscow against Ukraine.

Separately,a source in the Security Service of Ukraine said the agency had orchestrated a car bomb attack in the city of Sevastopol that killed a senior naval officer in the Black Sea Fleet.

The killing of Valery Trankovsky, which was confirmed by Moscow, is the latest in a string of targeted attacks on Russian military officers and pro-Kremlin public figures in occupied Ukrainian territory and within Russia.

Crimea was seized by Russia in 2014 in the wake of pro-democracy protests in Kyiv that sparked fighting in the east with Kremlin-backed separatists.

KUALA LUMPUR: A mother and her friend were sentenced to three years in prison by the Sessions Court today for confining a young boy in a cat cage in February.

Judge Siti Shakirah Mohtarudin imposed the sentence on the 20-year-old fast food worker, who is also the victim’s mother, and 35-year-old housewife Adibah Mohd Zaini after they pleaded guilty to the charges.

The court ordered the prison sentences to begin immediately, placed them under a five-year good behaviour bond without surety, and required them to complete 240 hours of community service within six months of completing their sentences.

The duo were accused of abusing the three-and-a-half-year-old boy by locking him in a cat cage, which could cause both physical and emotional harm, at an apartment in Taman Danau Desa, Brickfields, at 8.16 pm on Feb 10.

They were charged under Section 31(1)(a) of the Child Act 2001, which carries a maximum penalty of RM50,000 in fine, up to 20 years in prison, or both upon conviction.

The victim’s mother was also sentenced to three years in prison after pleading guilty to another charge under the same Act and section, of abusing her son by wrapping him in adhesive tape at the same location at 3.58 pm on Feb 21.

Judge Siti Shakirah ordered both sentences to run concurrently.

Deputy public prosecutor Nidzuwan Abd Latip urged the court to impose a deterrent sentence, emphasising that as the victim’s mother, she had a duty to protect her child from harm.

“The court should take into account the evidence, especially the photos of the child confined in a cat cage, which is clearly not meant for human use,“ he stated.

The mother, unrepresented, pleaded for a lighter sentence, expressing deep regret for her actions. Similarly, Adibah, also without legal representation, requested a reduced sentence on the basis she had to care for her two young children, aged one and eleven.

“I deeply regret my actions. Being in detention has made me realise my mistake, and I promise I will never repeat this,“ said Adibah, tearfully.

On Monday, Bernama reported that the victim’s mother, Adibah, and another accomplice Nor Azlin Fatin Najihah Lokman, 25, were each sentenced to 14 days in prison and fined RM10,000 by the Sessions Court after pleading guilty to kicking the boy.

Volkswagen Group is seeking significant cost reductions as it faces declining demand, rising expenses, and mounting competition. The automaker has proposed a 10 per cent wage reduction for its union employees after IG Metall, the union representing Volkswagen’s workforce, requested a seven per cent raise. This wage cut comes as part of broader measures Volkswagen is considering to address financial difficulties, which include restructuring bonuses and possibly eliminating anniversary and monthly bonuses.

Despite these proposed changes, Volkswagen’s CEO Thomas Schafer has not ruled out more drastic options, such as plant closures, if cost-cutting goals are not met through negotiations. “Successful operations are a prerequisite for job security,” said Arne Meiswinkel, VW’s lead negotiator, highlighting the necessity for lower labour costs to stabilise the company.

Volkswagen reported a steep 42 per cent drop in third-quarter operating profits, and its core brand posted only a two per cent operating margin through September. According to CFO and COO Arno Antlitz, this underscores the need for “significant cost reductions and efficiency gains” to sustain the company’s operations.

Rumours of potential plant closures in Germany have circulated as the company confronts inefficiencies across several domestic sites. Schafer remarked that the issues cannot be resolved by “simple cost-cutting measures,” indicating deeper structural challenges within the automaker’s German manufacturing operations.

Volkswagen and IG Metall will resume negotiations on November 21.

[…] Update vom 10.2.2017, Karen Blakeman’s Blog: New Creative Commons image search – back to the drawing board I’m afraid […]