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This paper aims to analyze the exchange and reciprocal mechanism behind individual knowledge transfer activities as well as their impact on the individual knowledge transfer networks.

The author conducted theoretical and simulation research. Agent‐based technology is employed to construct an agent dynamics agent‐based model that simulates and explains how an individual initiates the evolution of a knowledge network through knowledge transfer activities.

The results demonstrate that the two mechanisms can improve the knowledge levels of the network members; the exchange mechanism is more efficient as it can improve the values of both sides. Individual knowledge transfer networks evolve from random networks to small‐world networks.

The research model must include more variables. Computer simulation research will be cross‐confirmed by other research methods in future studies.

Individual knowledge transfer networks form and subsequently evolve as a result of social interaction. The research findings will contribute to the policy making for knowledge management in organizations.

Little has been published about the dynamics of individual knowledge transfer networks. The author believes that the paper is the first to analyze the internal mechanisms behind individual knowledge transfer activities and test them with agent‐based technologies.

Investigates the issue of succession planning and implementation for chief executive officers (CEOs) at philanthropic organizations. Provides a description, definition and classification for philanthropic organizations: family, operating, community, and company‐sponsored. Selects four foundation CEOs representing some of the four types noted in the typology for research. Gives them the same case study to review, read, and respond to five questions targeted to the case study and to their foundation’s philosophy of succession planning. Discusses unique features and uncovers similar features and analyses reactions. Suggests that no foundation CEO interviewees had experience with succession planning or felt the choices in the study appropriate. Also identifies the need to study the process of grant awarding to uncover additional aspects related to understanding power, leadership, and influence in foundations’ policies for choosing leadership and transferring authority in a planned way.

Institutional pluralism is an intriguing phenomenon for institutional scholars. How the balance among logics evolves within a field and what kind of trajectories a set of logics may experience over a long-term period remain unclear. In particular, extant literature tends too often to downplay institutional complexity by focusing on two dominant logics, and to ignore modes of interaction among logics other than competition. In order to address these issues, we offer a novel methodology for measuring institutional complexity – multiple institutional logics and their change. In particular, we highlight the utility of descendent hierarchical classification models, and demonstrate their relevance by analyzing articles published in a leading French trade journal over more than 100 years to study logics related to workplace in the construction industry. We identify a pool of six field-structuring logics over a period of one century; they reveal the composite nature of such logics, which we characterize as combining several higher institutional orders. Additionally, our results bring to light new mechanisms that can explain the composition of institutional logics.

Institutional pluralism is an intriguing phenomenon for institutional scholars. How the balance among logics evolves within a field and what kind of trajectories a set of logics may experience over a long-term period remain unclear. In particular, extant literature tends too often to downplay institutional complexity by focusing on two dominant logics, and to ignore modes of interaction among logics other than competition. In order to address these issues, we offer a novel methodology for measuring institutional complexity – multiple institutional logics and their change. In particular, we highlight the utility of descendent hierarchical classification models, and demonstrate their relevance by analyzing articles published in a leading French trade journal over more than 100 years to study logics related to workplace in the construction industry. We identify a pool of six field-structuring logics over a period of one century; they reveal the composite nature of such logics, which we characterize as combining several higher institutional orders. Additionally, our results bring to light new mechanisms that can explain the composition of institutional logics.

Many organizations have moved to adopt high performance work designs in an effort to enhance organizational flexibility while increasing efficiency, output, and product quality. As a result, the use of voluntary organization-sponsored teams such as task forces, project teams and quality improvement teams has become increasingly common. Relatively little research, however, has examined the process through which the membership of such groups is assembled. Even less is understood about the factors that encourage greater employee participation in these types of teams. Relying on social exchange theory, social identity theory, and the diversity literature, we explore the group creation process from the individual as perspective. Specifically, we explore the factors that motivate an individual to join a particular team. Propositions relating the influence of group and relational attributes to member-initiated team selection are then developed that further expand our understanding of the effects of group attractiveness, social categorization, relational demography and network processes on group creation. In closing, we discuss the implications of our model for managers and suggest some directions for future research.

A firestorm is a vast wave of negative information about a brand that disseminates quickly online. Their relative unpredictability represents a particularly challenging problem for brand marketers. This paper aims to show how firestorms are enabled and can be disabled by online community members (OCMs), exploring the dissemination of negative electronic word-of-mouth (e-WOM), the challenges in countering negative brand information and how brands can effectively communicate with OCMs to facilitate offsetting negative e-WOM.

This paper uses a sequential mixed-method research methodology. Study 1 uses an experimental design and tests serial mediation using PROCESS Model 6. Study 2 extends the findings while introducing a moderator using the PROCESS Model 83. Finally, qualitative findings are used to develop a practitioner-friendly typology of OCMs.

The perceived authenticity of a message can influence the believability of negative WOM in the presence of a negative availability cascade. Positive cascades are likely to prevent online communities from enabling negative e-WOM when the instigating message is perceived to be inauthentic. Qualitative findings from a post hoc analysis identify a typology of eight OCM types that enable and are also capable of disabling firestorms.

OCMs can both actively fuel and cool a firestorm. Brands should always monitor online communities and closely monitor discussions that are most likely to generate firestorms. More proactively, they should also develop communication strategies for each OCM type to help disable firestorms in the making.

Both negative and positive cascades are explored quantitatively and qualitatively to understand the mechanisms that can drive firestorms and provide both warnings and guidance for brands. An OCM typology guides brands’ mitigation strategies.

While the monetary returns to education are well documented in the economics literature, the studies on non-monetary returns to education are scarce. The purpose of this study is to provide new insights into the non-market outcomes by exploring how education influences the food consumption choices of households and how these effects vary across different socio-economic groups using household-level calorie consumption data from Sri Lanka.

This study uses two waves of Household Income and Expenditure Surveys – 2006/2007 and 2016. The methods adopted in analysing the data were descriptive statistics and the OLS regression model.

The empirical results show that educated poor households pay less per calorie compared to non-educated poor households, highlighting the role of education in improving the ability to make better food choices and manage household budgets more economically.

This study informs policy-makers of the importance of education for formulating food and nutritional policies, which aim to raise the standard of living of resource-poor and vulnerable households in Sri Lanka as well as other developing countries with similar socio-economic conditions.

To the best of the authors' knowledge, this study is the first to explore the impact of education on the calorie consumption behaviour of people in the Sri Lankan context using nationwide household surveys.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2022-0007

The purpose of this paper is to demonstrate how document protection has become a key object of concern for organizations, how the threat of leaks has led to an increase in security technologies and policies and how these developments present new and emergent ethnographic challenges for researchers. Through a study of a South Korean organization, the paper aims to demonstrate the ways workplace documents are figured into wider legal, regulatory and cyber security concerns.

The research is based on 12 months of intensive embedded fieldwork in a South Korean firm from 2014 to 2015 and follow-up interviews in 2018. The author followed an immersive and inductive approach to collecting ethnographic data in situ. The author was hired as an intern in a Korean conglomerate known as the Sangdo Group where he worked alongside Human Resources managers to understand their work practices. The present article reflects difficulties in his original research design and an attempt to analyze the barriers themselves. His analysis combines ideas from theories of securitization and document studies to understand how the idea of protection is reshaping workplaces in South Korea and elsewhere.

The paper highlights three findings first that South Korean workplaces have robust socio-material infrastructures around document protection and security, reflecting that security around document leaks is becoming integrated into normal organizational life. Second, the securitization of document leaks is shifting from treating document leaks as a threat to organizational existence, to a crime by individual actors that organizations track. Third, that even potential document leaks can have transitive effects on teams and managers.

Organizational security practices and their integration into workplace life have rarely been examined together. This paper connects Weber's insights on bureaucratization with the concept of securitization to examine the rise of document security practices and policies in a South Korean organization. The evidence from South Korea is valuable because technological developments around security coupled with organizational complexities portend issues for other organizational environments around the world.

Helicopter fuselage vibration prediction is important to keep a safety and comfortable flight process. The helicopter vibration mechanism model is difficult to meet of demand for accurate vibration prediction. Thus, the purpose of this paper is to develop an intelligent algorithm for accurate helicopter fuselage vibration analysis.

In this research, a novel weighted variational mode decomposition (VMD)- extreme gradient boosting (xgboost) helicopter fuselage vibration prediction model is proposed. The vibration data is decomposed and reconstructed by the signal clustering results. The vibration response is predicted by xgboost algorithm based on the reconstructed data. The information transfer order between the controllable flight data and flight attitude are analyzed.

The mean absolute percentage error (MAPE), root mean square error (RMSE) and mean absolute error (MAE) of the proposed weighted VMD-xgboost model are decreased by 6.8%, 31.5% and 32.8% compared with xgboost model. The established weighted VMD-xgboost model has the highest prediction accuracy with the lowest mean MAPE, RMSE and MAE of 4.54%, 0.0162, and 0.0131, respectively. The attitude of horizontal tail and cycle pitch are the key factors to vibration.

A novel weighted VMD-xgboost intelligent prediction methods is proposed. The prediction effect of xgboost model is highly improved by using the signal-weighted reconstruction technique. In addition, the data set used is collected from actual helicopter flight process.

The purpose of this paper is to measure the impact of positive and negative same‐gender fictional role models on students’ self‐efficacy and entrepreneurial intention.

The authors conducted an experimental research on 276 French students. Structural equation modeling techniques were employed to measure role model identification, attitude toward the role model, emotional arousal, entrepreneurial self‐efficacy and entrepreneurial intention.

Exposure to fictional role models favorably impacts self‐efficacy and behavioral intentions if students identify with role models, hold favorable attitudes toward the message, and experience positive emotional arousal. Successful role models reinforce role model identification and generate favorable attitudes toward the message, thus enhancing self‐efficacy and entrepreneurial intention. Unsuccessful entrepreneurial role models also favorably reinforce the relationship between self‐efficacy and entrepreneurial intention. Message framing and role models’ gender exert a moderating effect on these results.

Several implications for entrepreneurship education are discussed. The predominance of masculine models in entrepreneurship discourse should be inverted in the agenda of entrepreneurship education. The authors question the overall predominance of positive models in entrepreneurial education and more deeply explore the learning value of negative models.

Entrepreneurial literature mainly focuses on mastery experience and positive real‐life role models as antecedents of entrepreneurial self‐efficacy. Negative role models are rarely examined as potential favorable sources of self‐efficacy beliefs, and little is known about the impact of emotional arousal, another source of self‐efficacy beliefs, as theorized by Bandura.