Keitaro NAKASAI,Shin KOMEDA,Masateru TSUNODA,Masayuki KASHIMA, Vol.E107-D, No.11, pp.1444-1448
To automatically measure the mental workload of developers, existing studies have used biometric measures such as brain waves and the heart rate. However, developers are often required to equip certain devices when measuring them, and can therefore be physically burdened. In this study, we evaluated the feasibility of non-contact biometric measures based on the nasal skin temperature (NST). In the experiment, the proposed biometric measures were more accurate than non-biometric measures.
Publication Date: 2024/11/01

Yuan LI,Tingting HU,Ryuji FUCHIKAMI,Takeshi IKENAGA, Vol.E107-D, No.11, pp.1396-1407
1 millisecond (1-ms) vision systems are gaining increasing attention in diverse fields like factory automation and robotics, as the ultra-low delay ensures seamless and timely responses. Superpixel segmentation is a pivotal preprocessing to reduce the number of image primitives for subsequent processing. Recently, there has been a growing emphasis on leveraging deep network-based algorithms to pursue superior performance and better integration into other deep network tasks. Superpixel Sampling Network (SSN) employs a deep network for feature generation and employs differentiable SLIC for superpixel generation. SSN achieves high performance with a small number of parameters. However, implementing SSN on FPGAs for ultra-low delay faces challenges due to the final layer’s aggregation of intermediate results. To address this limitation, this paper proposes an aggregated to pipelined structure for FPGA implementation. The final layer is decomposed into individual final layers for each intermediate result. This architectural adjustment eliminates the need for memory to store intermediate results. Concurrently, the proposed structure leverages decomposed layers to facilitate a pipelined structure with pixel streaming input to achieve ultra-low latency. To cooperate with the pipelined structure, layer-partitioned memory architecture is proposed. Each final layer has dedicated memory for storing superpixel center information, allowing values to be read and calculated from memory without conflicts. Calculation results of each final layer are accumulated, and the result of each pixel is obtained as the stream reaches the last layer. Evaluation results demonstrate that boundary recall and under-segmentation error remain comparable to SSN, with an average label consistency improvement of 0.035 over SSN. From a hardware performance perspective, the proposed system processes 1000 FPS images with a delay of 0.947 ms/frame.
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

One of the main tasks in tax administration is debt management. The main goal of this function is tax due collection. Statements are processed in order to select strategies to use in the debt management process to optimise the debt collection process. This work proposes to carry out a data mining process to predict debts of taxpayers with high probability of non-payment. The data mining process identifies high-risk debts using a survival analysis on a dataset from a tax administration. Three groups of tax debtors with similar payment behaviour were identified and a success rate of up to 90% was reached in estimating the payment time of taxpayers. The concordance index (C-index) was used to determine the performance of the constructed model. The highest prediction rate reached was 90.37% corresponding to the third group.

Product innovation has become a crucial part of the sustainability of the coconut agro-industry in Indonesia, covering upstream and downstream sides. To overcome this challenge, it is necessary to create several model stages using a hybrid method that combines machine learning based on multiple criteria decision making and mass balance analysis. The research case study was conducted in Tembilahan district, Riau province, Indonesia, one of the primary coconut producers in Indonesia. The analysis results showed that potential products for domestic customers included coconut milk, coconut cooking oil, coconut chips, coconut jelly, coconut sugar, and virgin coconut oil. Furthermore, considering the experts, the most potential product to be developed was coconut sugar with a weight of 0.26. Prediction of coconut sugar demand reached 13,996,607 tons/year, requiring coconut sap as a raw material up to 97,976,249.

Research growth in organisational behaviour research, has increased the importance of paying attention to anti-citizenship behaviours. The current research with the aim of quantitative combination, has examined the results of research in effect of underlying factors of organisational anti-citizenship behaviours using meta-analysis method and CMA2 software and 55 articles during the time period of 2000-2020. The results showed a positive significant link between underlying factors of organisational anti-citizenship behaviours and occurrence of these behaviours and this influence was 0.389, 0.338, 0514 and 0.498 (structural, organisational, managerial, employment and professional and socio-economic and cultural factors). The level of connection found relating to each four occurrences is '68 links, 49 links, 93 links and 71 links'. Findings indicate that minute attention has been paid to organisational anti-citizenship behaviours, especially to job and professional factors in research works. Research should be conducted to control and manage these behaviours more purposefully in organisations.

In Italy, the reimbursement provided to healthcare organisations for medical and surgical procedures is based on the diagnosis related group weight (DRGW), which is an increasing function of the complexity of the procedures. This makes the reimbursement an upper unlimited function. This model does not include the relation of the volume with the complexity. The paper proposes a mathematical model for the optimisation of the reimbursement by determining the optimal mix of volume/procedure, considering the relation volume/complexity and DRGW/complexity. The decreasing, linear, and increasing returns to scale have been defined, and the optimal solution found. The comparison of the model with the traditional approach shows that the proposed model helps the healthcare system to discern the quantity of the reimbursement to provide to health organisations, while the traditional approach, neglecting the relation between the volume and the complexity, can result in an overestimation of the reimbursement.

Automated Data Augmentation via Wikidata Relationships Oyesh Singh, UMBC10:30-11:30 Monday, 21 October 2019, ITE 346 With the increase in complexity of machine learning models, there is more need for data than ever. In order to fill this gap of annotated data-scarce situation, we look towards the ocean of free data present in Wikipedia and other […]

The post TALK: Automated Data Augmentation via Wikidata Relationships appeared first on UMBC ebiquity.

A semantically rich framework to enable real-time knowledge extraction from short length semi-structured documents Lavana Elluri 10:30-11:30 Monday, 4 November 2019, ITE346 Knowledge is currently maintained as a large volume of unstructured text data in books, laws, regulations and policies, news and social media, academic and scientific reports, conversation and correspondence, etc. Most of these […]

The post TALK: Real-time knowledge extraction from short semi-structured documents appeared first on UMBC ebiquity.

Reinforcement Quantum Annealing: A Quantum-Assisted Learning Automata Approach We introduce the reinforcement quantum annealing (RQA) scheme in which an intelligent agent interacts with a quantum annealer that plays the stochastic environment role of learning automata and tries to iteratively find better Ising Hamiltonians for the given problem of interest. As a proof-of-concept, we propose a […]

The post Reinforcement Quantum Annealing: A Quantum-Assisted Learning Automata Approach appeared first on UMBC ebiquity.

Results using the reinforcement learning technique on two SAT benchmarks using a D-Wave 2000Q quantum processor showed significantly better solutions with fewer samples compared to the best-known quantum annealing techniques.

The post Paper: Reinforcement Quantum Annealing: A Hybrid Quantum Learning Automata appeared first on UMBC ebiquity.

The PALS system captures physical context from sensed data, reasons about the context and associated context-driven policies to make access-control decisions and detect intrusions into smart home systems based on both network and behavioral data

The post paper: Context Sensitive Access Control in Smart Home Environments appeared first on UMBC ebiquity.

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.

'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.

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.

If partnering with local firms is an intuitive strategy with which to mitigate uncertainty in foreign ventures, then why don't organizations always partner with local firms, especially in uncertain settings? We address this question by unbundling the effects of uncertainty in foreign ventures at the venture and country levels. We contend that, while both levels increase the need for partnering with local firms in foreign ventures, country-level uncertainty increases the difficulty of partnering with local firms and decreases the likelihood of such partnerships. We also posit that experiential learning helps firms manage the two types of uncertainty, and thereby reduces the need for partnering—yet, experience in the host country makes partnering more feasible and increases the likelihood of such partnerships. To test our hypotheses, we conceptualize the decision to partner with a local firm in a foreign venture as a multilayered decision, and model it accordingly. Using a global sample of venture capital investments made between 1984 and 2011, we find support for the distinct effects of venture- and country-level uncertainty as well as for corresponding levels of experiential learning. These findings have implications for the literature on cross-border venture capital investment and international business in general.

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.

Psychological empowerment has been studied extensively over the past few decades in a variety of contexts and appears to be especially salient within dynamic and complex environments such as healthcare. However, a recent meta-analysis found that psychological empowerment relationships vary significantly across studies, and there is still a rather limited understanding of how empowerment operates across levels. Accordingly, we advance and test a multi-level model of empowerment which seeks to better understand the unique and synergistic effects between unit and individual empowerment in hospital units. Analysis of data involving 544 individuals in 78 units, collected from multiple sources over three different time periods, revealed that unit empowerment evidenced a synergistic interaction with individual-level psychological empowerment as related to individuals' job performance, as well as an indirect effect on performance via individual empowerment, while controlling for previous performance levels. Notably, these effects were significant at relatively high, but not at relatively low levels of unit empowerment. Furthermore, we found that unit voice climate increased unit empowerment and thereby enhanced individual psychological empowerment. These findings suggest that, in complex and dynamic environments, empowering work units is an important means by which leaders can enhance individuals' performance.

Previous academic and popular literature has raised important debates concerning the contradictory incentives of international firms to reduce their environmental impacts and offer transparent environmental information about their operations. As an exhaustive review of this literature reveals mixed and partial evidence, we compared the individual corporate environmental performance and disclosure of the 100 most international non-financial firms in the world to those of 16,023 firms in their industries and a group of matched pairs of firms for three different years. Our results show that although the top international firms have a much better record of environmental disclosure than the firms within their industries and the matched pairs, the top international firms also show worse environmental performance than their peers. The results suggest that the top international firms seek legitimation for their environmental activities by means of voluntary disclosure.

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.

Prior research on mergers and acquisitions (M&As) has substantially advanced our understanding of how isolated acquirer- and deal-specific factors affect abnormal returns. However, investors are likely to perceive and evaluate M&As holistically—that is, as complex configurations (i.e., Gestalts) of characteristics, rather than as a list of independent factors. Yet, extant M&A literature has not addressed why and how configurations of factors elicit positive or negative reactions. In other words, overlooking the interdependent nature of factors known to influence acquisition success has limited our understanding of both M&As and investor judgment. Taking an inductive approach to addressing this important issue, this study relies on fuzzy set methodology. Our results provide compelling evidence that investor perceptions of M&A announcements are not only configurational in nature but also characterized by equifinality - or the presence of multiple paths to success - and asymmetric causality - that is, configurations that represent bad deals are not simply a mirror image of good deals, but differ fundamentally. By constructing a typology of "good" and "bad" deals as perceived by market participants, we develop a mid-range theory of M&A stock market performance. As such, this study offers novel theoretical and empirical insights to scholars, and implications for practitioners.

Literature on partnerships has grown rapidly in the past decade across different disciplines. However, despite conceptual attention to the value of strategic multi-stakeholder collaboration to promote peace and reconciliation, challenges posed by (post-)conflict, fragile contexts have barely been considered in empirical studies. In this article we contribute by bringing together debates from different partnership literatures and providing an overview of existing, relatively limited research insights on partnerships for peace in fragile states. We present a typology of different levels (local, national, international) at which collaboration takes place and different types of partnerships (philanthropic, transactional, engagement, transformative). This is exemplified with specific attention to Africa, where most fragile states are found, and to partnerships with transformative potential. The analysis suggests that the lowest-level (local) partnerships tend to exclude the national government, while the most recent international, multilateral-driven collaboration has not included business; national cases are most transformative but incidental and not yet leveraged internationally. Despite the interconnected nature of conflict and fragility issues, linkages between partnerships and partners at different levels are largely missing, offering potential for further development by a broad spectrum of scholars and thought leaders. Insights from 'extreme' unconventional contexts thus have relevance for management research more generally.

There is a growing consensus that cooperative goal structures are more effective at motivating groups than competitive goal structures. However, such results are based largely on studies conducted in highly-controlled settings where participants were provided with the necessary resources to accomplish their assigned task. In an attempt to extend the boundary conditions of current theoretical predictions, we undertook a field experiment within a base-of-the-pyramid setting where resource scarcity is extremely high. Specifically, we collected data on 44 communities within rural Sri Lanka who were tasked with contributing a portion of their resources to the construction of a school building; 24 were assigned to a competition condition and 20 to a cooperation condition. The results of our field experiment, and subsequent follow-up interviews and focus groups, collectively suggest that competitive goal structures generally lead to higher levels of motivation within a resource scarce environment. However, our results also suggest that cooperative goal structures can be highly motivating when groups are unfamiliar with one another, as cooperating with unfamiliar groups can provide access to valuable and rare knowledge within such settings.

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.

In a series of qualitative and quantitative studies, we developed a model of the functions of positive work relationships, with an explicit focus on the role that these relationships play in employee flourishing. Stories that employees told about positive relationships at work revealed that relationships serve a broad range of functions, including the traditionally-studied functions of task assistance, career advancement, and emotional support, as well as less studied functions of personal growth, friendship, and the opportunity to give to others. Building on this taxonomy, we validated a scale - the Relationship Functions Inventory - and developed theory suggesting differential linkages between the relationship functions and outcomes indicative of employee flourishing. Results revealed unique associations between functions and outcomes, such that task assistance was most strongly associated with job satisfaction, giving to others was most strongly associated with meaningful work, friendship was most strongly associated with positive emotions at work, and personal growth was most strongly associated with life satisfaction. Our results suggest that work relationships play a key role in promoting employee flourishing, and that examining the differential effects of a taxonomy of relationship functions brings precision to our understand of how relationships impact individual flourishing.

"Best Places to Work" (BPTW) and similar competitions are a proliferating form of third party employment branding. Little is known, however, about how single or repeated third party employment branding occurrences relate to key human capital outcomes. Extending signaling theory by considering signal credibility and comparability, we use archival and survey data from 624 BPTW participants in sixteen competitions across a three-year period to develop and test hypotheses linking BPTW certifications to collective turnover rates and key informant perceptions of applicant pool quality. We find that certifications are associated with lower turnover rates, and in addition, propose competing crystallization and celebrity hypotheses that model turnover trajectories with repeated certifications, finding diminishing marginal turnover reductions across multiple certifications. We also examine company size and industry job opening moderators, finding that as certifications increase, applicant pool quality is (1) higher in smaller companies and (2) higher when job openings are scarcer. Finally, beyond being certified or not, we find supplemental evidence for effects of the specific certification level achieved (e.g., 2nd versus 15th). This investigation advances theory related to collective turnover, applicant pool quality, and employment branding, and is relevant to company decisions about seeking or re-seeking third party certifications.

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.

Identification is integral to mentoring relationships, yet we know relatively little about the process through which mentors and protégés identify with each other, how this mutual identification shifts through the phases of the mentoring relationship, and how identification impacts the quality of the relationship over time. In this paper, we integrate theories of the self, relationships, and relational mentoring to consider the role of identification in informal mentoring. Specifically, we theorize how the process of personal identification occurs in mentoring from the perspective of both the mentor and protégé and offer a model that demonstrates how shifts in identification relate to the quality of the relationship that develops over time. We conclude with a discussion of implications for research and theory in mentoring.

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.

The law of requisite variety is widely employed in management theorizing, and is linked with core strategy themes such as contingency and fit. We reflect upon requisite variety as an archetypal borrowed concept. We contrast its premises with insights from institutional and commitment literatures, draw propositions that set boundaries to its applicability, and review the ramifications of what we term "complexity misalignment." In this way, we contradict foundational assumptions of the law, problematize adaptation- and survival-centric views of strategizing, and theorize the role of human agency in variously complex regimes.

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.

We draw on the historiographical concepts of "generational units" and "collective memories" as a framework for understanding the emergence of entrepreneurially oriented cohesive groups within regions. Generational units are localized subgroups within generations that have a self-referential, reflexive quality, by virtue of the members' sense of their own connections to each other and the events that define them. Collective memories are shared accounts of the past shaped by historical events that mold individuals' perceptions. The two concepts provide a valuable point of departure for incorporating historical concepts into the study of entrepreneurial dynamics and offer a framework for understanding how entrepreneurs' historically situated experiences affect them. Our framework breaks new theoretical ground in several ways. First, we synthesize disparate literatures on generational units, collective memory, and organizational imprinting. Second, we specify mechanisms through which imprinting occurs and persists over time. We develop analytical arguments framed by sociological and historiographical theories, focusing on the conditions under which meaningful generational units of entrepreneurs may emerge and benefit from leadership and legacy building, technologies of memory, and institutional support that increases the likelihood of their persistence.

This study draws on social identity theories of behavioral contagion and research concerning narratives in organizations to present and test a framework for understanding how narratives embed values in organizational newcomers' actions. Employing a field experiment using 632 newly-hired employees in a large IT firm that prioritizes self-transcendent values, this study explores how narratives varying in terms of the organizational level of main characters and the values-upholding or values-violating behaviors of those characters influence newcomers' tendencies to engage in behaviors that uphold or deviate from the values. Results indicate that stories about low-level organizational characters engaging in values-upholding behaviors are more positively associated with self-transcendent, helping behaviors and negatively associated with deviant behaviors, than are similar stories about high-level members of the organization. Stories in which high-level members of the organization violate values are negatively related to newcomers' engagement in both helping and deviance more strongly than are values-violating stories about lower-level members. Content analyses of the stories suggest that they convey values in different and potentially important ways. Implications, future directions, and limitations are discussed.

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.

We examine when and why creative role identity causes entitlement and unethical behaviors and how this relationship can be reduced. We found that the relationships among the creative identity, entitlement, and dishonesty are contingent on the perception of creativity being rare. Four experiments showed that individuals with a creative identity reported higher psychological entitlement and engaged in more unethical behaviors. Additionally, when participants believed that their creativity was rare compared to common, they were more likely to lie for money. Moreover, manipulation of rarity of creative identity, but not practical identity, increased psychological entitlement and unethical acts. We tested for the mediating effect of psychological entitlement on dishonesty using both measurement of mediation and experimental causal chain approaches. We further provide evidence from organizations. Responses from a sample of supervisor-subordinate dyads demonstrated that employees reporting strong creative identities who perceived creativity as rare in their work-group rather than common were rated as engaging in more unethical behaviors by their supervisors. This paper extends prior theory on negative moral consequences of creativity by shedding new light on assumption regarding the prevalence of creativity and the role psychological entitlement plays.

We study the interplay between regulatory mandates and competition on a focal firm's new resource investments. While prior literature has separately pointed to the influence of competition and regulatory policy on a focal firm's resource decisions, less is known about how the policy effect interacts with the competitive effect. Studying how regulatory mandates moderate the effect of competition on a focal firm's new resource investments, we show that resource redeployment is not simply a function of internal firm decisions but a response to external forces. We find that regulatory mandates dampen the effect of competitors' new resource investments on a focal firm's new resource investments. Distinguishing between different clean technology types, we show that this dampening effect is the stronger, the more distant the new resource is from incumbents' old resource base, and the more established the mandate is. We test our hypotheses in the context of renewable energy investments in waste-to-energy, wind, and solar in the U.S. electricity industry. Our data comprises 1542 utilities and private energy firms and their renewable investments from 1999 to 2010.

Management scholars have noted that leader departures often foreshadow higher turnover intentions (or lower organizational attachment) by subordinates left behind, especially when relationships between the departing leader and the subordinates, or leader-member exchanges (LMX), had been of high quality. In this paper, we posit that the quality of subordinates' relationships with all members of their relational system, not only their leader, must be considered to better understand how leader departures affect subordinates' organizational attachment. Our proposed relationships are illustrated in a theoretical model that includes phenomena at the individual-level (i.e., a subordinate's identification with the departing leader and with his/her organization), at the group-level (i.e., turnover contagion), and at the organizational level (i.e., organization-wide developmental climate). As such, we propose that elucidating how leader-departures affect organizational attachment requires multi-level theorizing and constructs. Theoretical and practical implications of such a 360-degree relational perspective on leader-departure effects are discussed.

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

Mathematical theory of finite elements is a comprehensive and rigorous exploration of the mathematical foundations of finite element methods (FEMs). The book focuses on two central topics: the concept of discrete stability, and the theory of conforming elements that

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

The mathematics requirements for computer science (CS) students have been debated for decades. I began teaching in a CS program in 1983, and I recall similar discussions at that time. The debate has continued in one form or another

For advocates of universal gun rights, this debate represents a fundamental question about the nature of the Second Amendment: is it an American right or a human right?

For now, there are several good choices for gun owners that DeWine can make, a few problematic ones, and one that’s completely unacceptable, his previous pick Dolan.