Bouncing Back: Unpacking the Influence of Sport Media on Consumer Resilience

This study aims to empirically investigate how sport media consumption influences the relationships among the spatially explicit risks of COVID-19, resilience, and positive and negative affect, considering social class. To achieve this, we employed an integrated approach using spatial and aspatial analyses. The findings indicated that the negative effects of the spatially explicit risks of COVID-19 on resilience are mitigated by sport media consumption. In turn, an increased level of resilience enhances positive affect and reduces negative affect. Moreover, consumers in the upper class showed a more pronounced resilience process through sport media consumption than those in the lower class. This study contributes to the knowledge regarding the sport -resilience association by identifying the moderating effect of sport media consumption within social classes and addressing the spatially explicit risks of COVID-19. The present findings provide a basis for sport-based resilience strategies in times of adversity.

Back from the Future: Mediation and Prediction of Events Uncertainty through Event-Driven Models (EDMs)

The event-driven model (EDM) is an emerging concept in human behavioural research, and understanding how EDMs can promote theory development remains a fundamental quest of predictive science. Traditionally, researchers have heavily depended upon theory confirmation and the inclusion of mediating constructs to clarify uncertainty associated with plausible events (e.g. political, socio-economic, technological, environmental). Though this approach has pushed the field forward, it has also steered mediation research towards largely ignoring the fundamental role of prediction as a key for better understanding future events represented by EDMs. Additionally, emerging research using partial least squares structural equation modelling to execute prediction-oriented analysis continues to overlook problematic endogeneity bias and plausible type IV errors due to omitted paths and neglect of indirect effect size estimation in mediation models that embrace the transmittal or segmentation mediation approaches. We aim to introduce prediction as a fundamental option for estimating EDMs and recommend that researchers employ the segmentation mediation approach when estimating EDMs. We further emphasize a novel direct and indirect (v) effect size measure, types of prediction and cases when they are useful. Best practices and practical implications are provided to foster a more useful interpretation of findings.

Always on Call: Is There an Age Advantage in Dealing with Availability and Response Expectations?

This research challenges the technology-related age stereotype that older employees might be disadvantaged in dealing with work-related information communication technology (ICT) demands. Rather, we hypothesize an age advantage in this regard. Based on theorizing on aging at work, we suggest that older employees are better at psychologically detaching from work under high availability expectations and that they show more adaptive responsiveness to response expectations. We examined a potential age-related mechanism underlying this effect, namely internal workplace telepressure. We pursued a two-study approach. Study 1 examined data from 5,938 individuals who participated in a large-scale survey of employees in Germany just before the COVID-19 pandemic, testing age as moderator of the relationship between availability expectations and psychological detachment from work. Results supported the hypothesized age advantage effect showing that for older employees, availability expectations were less strongly related to impaired psychological detachment. Study 2, a diary study with 106 participants answering more than 500 daily surveys during the pandemic, supported lower telepressure as explanation for this age advantage effect. Study 2 further extended this finding to the relationship of response expectations with responsiveness, identifying both age and telepressure as predicted by age to moderate this relationship. This research shows age advantage effects in dealing with ICT demands, enhancing understanding of the intersection between age and technology use at work.

Integrating push-pull dynamics for understanding the association between boundary control and work outcomes in the context of mandatory work from home

Purpose Much of what we know about work from home (WFH) is based on data collected in routine times, where WFH is applied on a partial and voluntary basis. This study leverages the conditions of mandatory WFH imposed by COVID-19 lockdowns to shed new light on factors that relate to well-being and performance among employees who WFH. Specifically, the authors explore how boundary control and push-pull factors (constraints and benefits that employees associate with WFH) interact to shape employees' exhaustion and goal setting/prioritization. Design/methodology/approach Surveys were administered in Israel and in the USA to 577 employees in "teleworkable" roles who were mandated to WFH shortly after the COVID-19 outbreak (March-April 2020). Findings (1) Boundary control is negatively related to exhaustion and positively related to goal setting/prioritization. (2) These associations are weakened by perceptions of high WFH constraints (push factors). (3) WFH benefits (pull factors) attenuate the moderating effect of WFH constraints. Practical implications Organizations may benefit from identifying and boosting the saliency of WFH benefits, while considering and remedying WFH constraints. Originality/value The authors contribute theoretically by integrating push-pull factors into the discussion about WFH and boundary management. We also make a contextual contribution by drilling down into the specificities of nonvoluntary WFH. The expected upward trends in nonvoluntary WFH rates underscore the need to understand factors that improve outcomes among individuals who lack agency in the decision to WFH.

The Multifaceted Role of Social Capital for Achieving Organizational Ambidexterity and Supply Chain Resilience

With the increasing frequency and impact of disruptions (i.e., in the wake of COVID 19, Suez Canal blockage), researchers and practitioners are faced with an ongoing challenge to enable supply chain resilience. Drawing on the theory of paradox and ambidexterity, this study highlights paradoxes in enabling supply chain resilience and proposes that firms manage such paradoxes by developing an ambidexterity capability. We build a research model hypothesizing the role of social capital that enables organizational ambidexterity to realize supply chain resilience. The model is tested using structural equation modeling comprising survey data of 204 Pakistani manufacturing firms. Based on the results of this article, our overall model finds support with the exception that cognitive capital is not related to ambidexterity. This research contributes to the further conceptualization of paradoxes in supply chain resilience and advances the theory for a more comprehensive understanding of the impact of organizational social capital on ambidexterity.

Roles of Innovation Leadership on Using Big Data Analytics to Establish Resilient Healthcare Supply Chains to Combat the COVID-19 Pandemic: A Multimethodological Study

This article empirically examines the effect of big data analytics (BDA) on healthcare supply chain (HSC) innovation, supply chain responsiveness, and supply chain resilience under the moderating effect of innovation leadership in the context of the COVID-19 pandemic. The scanning interpretation-action-performance model and organization information processing theory are used to explain BDA, HSC innovation, responsiveness, and resilience relationships. First, the hypotheses were tested using data collected from 190 experienced respondents working in the healthcare industry. Our structural equation modeling analysis using the partial least squares (PLS) method revealed that BDA capabilities play a pivotal role in building a responsive HSC and improving innovation, which has contributed to resilience during the current pandemic situation. High innovation leadership strengthens the effect of BDA capabilities on HSC innovation. High innovation leadership also increases the effect of BDA capabilities on responsiveness. Second, we validated and supplemented the empirical research findings using inputs collected in 30 semistructured qualitative questionnaires. Our article makes a unique contribution from the perspective of innovation leaderships. In particular, we argue that the role of innovative leadership in the COVID-19 pandemic situation is critical as it indirectly affects HSC resilience when BDA is in place.

Reflecting on Success in Difficult Times: A Key to Enhance Proactivity and Employability

Employability and proactivity are believed to be key factors for survival in uncertain and unpredictable environments. Despite the related importance of continuous learning, little is known how learning-related factors enhance employability and proactivity. The purpose of this study was to examine the role of reflection in enhancing perceived employability and proactive behavior in turbulent conditions, drawing on positive psychology. A two-wave survey of Japanese employees (n = 408) was conducted during a pandemic period of coronavirus disease (COVID-19). Results of a structural equation model show that reflection on success had positive direct and indirect effects on perceived employability mediated through proactive behavior, while reflection on failures had no significant effect on perceived employability and proactive behavior. The findings extend prior research on employability and proactivity by examining the role of learning-related cognitive factors based on the broaden-and-build theory.

Formal and informal learning as deterrents of turnover intentions: Evidence from frontline workers during a crisis

Employee learning and development is critical to organizational success, particularly during times of crisis when increased volatility and demand necessitate adaptability and skill. We draw on theories of workplace learning and social exchange to investigate the unique influence of formal training, informal learning, and organizational support for training on the turnover intentions of frontline workers battling COVID-19. Survey data were gathered from a sample of Direct Support Professionals (N = 481) in New York state who continued their work supporting individuals with developmental and intellectual disabilities during the global coronavirus pandemic. The results support our predictions that employee engagement in formal training and, to a lesser extent, informal learning, as well as individuals' perceptions of organizational support for training, explain unique variance in turnover intentions. Alternative predictors. including tenure and region, explained some unique variance in turnover intentions, but neither age nor learning goal orientation demonstrated meaningful effects. Relative weights analysis revealed that the strongest negative predictors of to mover intentions were organizational support for training and engagement in formal training. Altogether these findings identify possible methods of deterring turnover intentions, by highlighting the key role that organizations play in supporting continuous learning amongst their employees, even in times of crisis. Implications of this study are discussed for research and practice on workforce learning and development for frontline workers and others, more generally.