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Although scholars in strategic management have identified innovating and exit as firms’ two sequential strategic responses to long-run crisis, the potential interdependency has yet remained implicit. Specifically, in the context of Chinese Privately Owned Enterprises (POEs), this study investigates the interrelationship of these two strategic responses during long-run crisis. Building on resource redeployment perspective, the authors propose that firms tend to simultaneously leverage innovating and exit responses.

The authors use the data from the 2010 Chinese POEs survey to verify how firms in the long-term crisis made strategic responses after the 2008 financial crisis. Besides, the authors utilize Probit regressions as the basic analysis and further employ bivariate Probit regressions to conduct robustness tests.

This study provides empirical evidence confirming that firms in the long-run period of the crisis tend to adopt both exit and innovating strategies at the same time, that is, the strategy of resource redeployment. Moreover, this study further finds that government subsidies, the degree of marketization and firm’s organizational capability could all accentuate the decision-making of firms’ resource redeployment.

The authors thus contribute to the study of strategic responses to crisis in strategic management by dynamically find out the interdependency of two responses and enrich the research on resource redeployment perspective by identifying three influential positive antecedents, adding to the ongoing investigation on positive drivers of resource redeployment.

This research aims to examine the influence of Chief Executive Officer (CEO) dark triad traits, follower COVID-19 anxiety and self-leadership on follower evaluations of the effectiveness of organizations’ response to the COVID-19 pandemic crisis.

In this paper data were collected over two time periods. At time 1, mid-October 2021, 650 participants responded to questions on their CEO’s leadership traits and self-leadership. At time 2, (3-week lag) 275 matched individual responses provided followers’ evaluations of the effectiveness of the organization’s COVID-19 response and follower self-leadership.

CEO dark triad traits had direct and indirect negative effects on followers’ evaluations of the organization’s COVID-19 response (through COVID-19 anxiety). Follower self-leadership mitigated the negative effects.

By examining the moderating role of self-leadership, we can offer organizations evidence-based strategies to mitigate some harmful effects of leaders exhibiting dark triad traits.

Given that organizations are still dealing with the ongoing ramifications of COVID-19 and planning for future crises, our findings emphasize the negative effects of dark traits on COVID-19 anxiety, and in turn, on follower’s evaluation of effective organization response to a crisis, highlighting the importance of top-level leader selection.

Our results bolster Manz’s (1986) argument that self-leadership might be key to achieving peak performance in organizations and important for follower well-being.

This study of dark traits is especially important in a crisis context to understand how leaders affect followers’ perceptions about organizational outcomes and factors that might mediate or moderate the negative impact. Despite interest in understanding leadership during a crisis, the majority of research is focused on positive traits of leaders (Palmer et al., 2020).

This paper aims to review and critically assess the role that data visualizations played as communication media tools to help society during a worldwide crisis. This paper re-creates and analyzes several visualizations, critically and ethically assesses their strengths and limitations and provides a set of best practices that are informative, accurate, ethical and engaging at each stage in a reader’s interest.

The paper bases its methodology on the construct of “The Network Society” (Van Dijk, 2006; Castells, 2000, 2006) by creating a series of social networked visualizations, identifying the challenges and pitfalls associated with this communication approach and suggesting best practices in information communication technology. The case study is COVID-19.

The research in this study found that visual data dashboards and interactive Web-based charts did play a significant role in helping society understand COVID-19’s impact to make better informed decisions about society’s health and safety.

Visual expositions of data do have strengths and weaknesses depending on how they are designed, how they communicate the story and how they are ethically deployed. Best practices are provided to help mitigate these limitations.

Visualizations are certainly not new, but the technology for rapidly developing and sharing them is new. Visual expositions provide an effective media for communicating complex information to a networked society.

Visual expositions provide an effective media for communicating complex information to a networked society.

This paper highlights the significance of the need to understand complex data in a crisis in a visual format and to communicate the information quickly, persuasively, effectively and ethically to a networked audience.

Job embeddedness is considered crucial for organizational success, as it promotes social capital and helps to reduce turnover. A holistic review of job embeddedness remains elusive despite gaining researchers' and practitioners' attention. Therefore, this study aims to synthesize the past literature to understand the concepts and emerging themes in the domain. Further, it helps identify future research avenues and proposes a comprehensive conceptual framework.

The study used bibliographic data of 263 Scopus-indexed publications from inception, i.e. 2001 to 2021, which were subsequently analyzed using diverse bibliometric and content analysis (TCCM) framework and software like Microsoft Excel, Vosviewer and “Biblioshiny” package in R language.

The study analyzes the domain via performance analysis which sheds light on the increasing publication trends and different significant contributors (authors, publications, countries, journals and universities). Science mapping techniques such as keyword analysis identifies author keyword evolution and trends. The content analysis showcases the dominance of diverse psychological theories applied in the domain. Also, the bibliographic-coupling analysis highlights major clusters and associated research publications. The study provides future research avenues, followed by a conceptual framework highlighting the antecedents, moderators and outcomes of job embeddedness.

This study is the first bibliometric and content analysis exploring job embeddedness and will aid in developing a comprehensive understanding of the research topic.