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Panel unit root tests represent a significant advancement in addressing the low power of unit root tests by exploiting cross‐sectional and time‐series information. In this article we employ Monte Carlo techniques to quantify the power improvements due to cross‐sectional information and assess test sensitivity to heterogeneous data. Pooling the data alleviates negative effects of slowly adjusting equilibrium relations as well as persistence in the forcing variable. However, if the panel contains a mixture of unit root and stationary series, the power of the test decreases substantially and the interpretation of the results becomes tenuous.  相似文献   
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In this research, we explore the negative consequences of engaging customer participation through voting mechanisms. Specifically, we draw attention to the double risk of customer voting, first by identifying the adverse effects of losing, and then by revealing the potential of turning an already engaged set of customers over to underdog competitors. We first establish that the losing effect is distinct from that of a voting (empowerment) effect (Pilot Study). We then replicate the losing effect and show that losing (as opposed to winning) voters tend to experience stronger levels of disempowerment and identify more with the underdog (Study 1). Finally, we demonstrate that losing voters are more likely to choose a competitor brand over the incumbent brand, particularly when the competitor is perceived to be an underdog (Study 2). Our findings caution brand managers to reconsider their customer engagement strategy when it involves customer voting.  相似文献   
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The authors investigate consumers' motivations for placing items in an online shopping cart with or without buying, termed virtual cart use. While retailers offer virtual carts as a functional holding space for intended online purchases, this study, based on a national online sample, reveals other powerful utilitarian and hedonic motivations that explain the frequency of consumers' online cart use. Beyond current purchase intentions, the investigated reasons for why consumers place items in their carts include: securing online price promotions, obtaining more information on certain products, organizing shopping items, and entertainment. Based on empirical findings, the authors offer managerial suggestions for enhancing online shopping-to-buying conversion rates.  相似文献   
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