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Many retailers (e.g., Amazon, Walmart) use various types of online recommendation agents (RAs) on their websites to suggest goods and services to consumers. These RAs screen millions of options to ease consumers’ information search and evaluation. To determine which RA types best support consumers’ efforts, the present research reports a meta-analysis of perceived recommendation quality research...
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...
AbstractThe 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 enc...
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...
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...
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....
Abstract:PurposeChinese firms are winning market share from foreign multinational enterprises in domestic markets. The international business literature suggests that this is happening because these firms are developing non-traditional firm-specific advantages (FSAs). Strategic factor market (SFM) theory provides a good basis for explaining how this is happening. However, it is underdeveloped in t...
Given the substantive influence of the digital revolution on the sharing economy, it is timely and relevant to ask why some sharing platforms (e.g. Airbnb and Uber) achieve significant success while others fail. To determine which factors encourage customers to participate in sharing goods and services on sharing platforms, and when they do so, this study conducts a meta-analysis of empirical find...
This paper empirically investigates how customer email engagement affects the profitability of subscription service providers and retailers. They have been using email engagement to increase customer retention. However, it is unclear whether email engagement improves their profitability. The existing literature focuses on email engagement’s benefit of customer retention but ignores its associated...
Investors often cover a limited number of stocks, leading to a certain level of correlation in their information sets. Despite its importance, the role of this correlation in determining the return comovement between stock pairs has been less explored. In this study, we introduce a novel measure of common investor coverage, calculated using the number of co-commentators normalized by the geometric...
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...
