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This article investigates supply chain recovery and resilience by examining how an automotive supply chain in Wuhan was revived after a complete shutdown. The focus is on the recovery process once the supply chain was reactivated. Using punctuated equilibrium theory (PET), the authors illustrate how such a complete shutdown triggers the reconfiguration of deep structures (i.e., durable organizatio...
Based on the Strategy-Structure-Performance (SSP) framework and Organizational Information Processing Theory (OIPT), this study examines how relational governance (RG) mediates the relationship between agile supply chain strategy (ASCS) and ambidextrous innovation performance (including exploratory innovation performance (EXIP) and exploitative innovation performance (EIIP)). Additionally, it inve...
Few studies have examined how external events that disrupt the economy impact entrepreneurial passion. To address this gap, we focus on two event aspects: event novelty and event disruption. We examine their impact on entrepreneurial passion under two contingencies: innovation capability and future orientation. We conducted a field survey study with government initiatives as the focal event (Study...
This research develops an attention-based, environment-inclusive model of organizational aspiration determination. The behavioural view embraces that organizations determine aspirations based on three reference points past aspiration, past performance, and social reference group performance. We build hypotheses to explain how environmental munificence, dynamism, and complexity shape organizational...
As quality issues become more prominent in supply chain (SC) management, understanding the factors driving SC quality integration (SCIQ) and quality performance has become increasingly important, shifting the focus of quality management to firms in SCs. This study aims to examine the role of SC quality leadership (SCQL) in facilitating SCIQ and its direct and indirect relationship with quality per...
The coevolution process enables organizations to adapt to and influence their external environment. Multinational corporations (MNCs) operating in dynamic foreign markets use this capability to achieve operational sustainability. MNCs in China operate in a changing stakeholder environment that features rising consumer activism and local stakeholders' persistent ethical problems and encounter r...
How do events, especially rare external events such as financial crises, wars, natural disasters, and the COVID-19 pandemic, affect the efficacy of entrepreneurial passion to drive organizational innovation? This study investigates the moderating role of events and entrepreneurs’ competence to exploit the events (opportunity competence) in the relationship between entrepreneurial passion and orga...
Although traditional research on human capital shows that it enhances employment success, its role in the job search process is unclear. To explain its weak effects in previous studies, this study draws on goal system theory to propose that human capital may act as a double-edged sword: On one hand it facilitates the ease of gaining employment, on the other hand it may compromise the frequency of ...
This study introduces a novel copula class, referred to as the distorted GAB copula (hereafter, dGAB copula), as an alternative to the Gaussian copula, which has shown limitations in capturing tail dependence. Much like the Gaussian copula, the dGAB copula can be uniquely determined by its bivariate marginal copulas and offers effective tail dependence modeling capabilities. To demonstrate its pra...
This study develops closed-form solutions for distortion risk measures (DRM) in extreme cases by utilizing the first two moments and the symmetry of underlying distributions. The resultant extreme-case distributions, encompassing the worst- and best-case distributions, are identified by the envelopes of the distortion functions. The findings of this study extend previous research on worst-case ris...
Extreme-case risk measures provide an approach for quantifying the upper and lower bounds of risk in situations where limited information is available regarding the underlying distributions. Previous research has demonstrated that for popular risk measures, such as value-at-risk and conditional value-at-risk, the worst-case counterparts can be evaluated in closed form when only the first two momen...
