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How different (dis)engagement behaviors affect performance within an e-market ecosystem: A longitudinal analysis

机译:如何不同(DIS)参与行为在电子市场生态系统中影响性能:纵向分析

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摘要

Despite the growing interest in the effect of actor engagement on performance outcomes, empirical work adopting a holistic view is scarce. This study aims to empirically assess the impact of engagement behaviors on a shop's performance within an e-market ecosystem. Specifically, the study investigates how actors' level of engagement in online reviewing relates to a shop's future performance, using a rich panel dataset (1332 clothes shops spanning seven months) within the Etsy ecosystem. The results indicate that in these environments, higher positive engagement behaviors don't affect performance, as positive reviews are expected. Engagement behaviors entailing negative reviewing also have a non-significant effect on performance, as they offer important feedback to the shop, which offsets damaging effects. However, when the volume of either low positive engagement or disengagement behaviors increases, performance deteriorates, as these behaviors signal mediocre quality or non-credible reviewing behavior. The article concludes with implications for research and practice.
机译:尽管对演员参与性绩效结果的影响越来越感兴趣,但采用整体观点的实证工作是稀缺的。本研究旨在明确评估参与行为对商店在电子市场生态系统中的表现的影响。具体而言,该研究调查了演员在线评论中的参与程度如何涉及商店未来的性能,使用etsy生态系统内的丰富的面板数据集(跨越七个月的1332份服装店)。结果表明,在这些环境中,较高的积极参与行为不会影响性能,因为预计阳性审查。有关负面审查的订婚行为也对绩效产生了非重大影响,因为它们为商店提供了重要的反馈,抵消了损坏的效果。然而,当较低的正接合或脱离行为的体积增加时,性能恶化,因为这些行为信号发出平庸的质量或不可靠的审查行为。本文对研究和实践的影响结束。

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