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The sustainable development of a modern equity market heavily relies on an effective IPO system that can properly reflect the underlying risk, demand, and supply in the IPO market. Recently, China has implemented an unprecedented IPO reform that transforms the previous approval-based IPO system to a registration-based one. Despite its importance, the impacts of the reform still remain unexplored. ...
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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...
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...
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...
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...
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...
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...
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...
Innovation has been a key topic of interest for the regional studies community. In particular, the regional characteristics and impacts of innovation have been a popular theme of enquiry and theorisation, and the community has been at the forefront of discussions around regional innovation systems, in particular. However, we see a large gap in the current state of the art around frugal innovation....
The special issue, Rethinking Innovation and Development Discourses in the Light of COVID-19’ co-edited by Dr. Fayaz Ahmad Sheikh from Zhejiang University International Business School together with Prof. Xiaobo Wu, Dean of the School of Social Science Zhejiang University is published online by Sage’s Journal ‘Science Technology and Society’. This special issue empirically explores innova...
