Impact of emotional intensity of negative word-of-mouth on perceived helpfulness in social media

Chun-Hsing Chen, Depeng Zhang
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引用次数: 1

Abstract

PurposeNegative word-of-mouth has a variety of negative effects on companies. Thus, how consumers process and evaluate negative word-of-mouth is an important issue for companies. This research aims to investigate the effect of emotional intensity of negative word-of-mouth on consumers' perceived helpfulness.Design/methodology/approachThe research model was developed based on attribution theory. A four-study approach involving two field experiments and two online experiments was employed to examine the proposed hypotheses.FindingsThe results show that the emotional intensity of negative word-of-mouth negatively affects altruistic motive attributions, while altruistic motive attributions positively affect perceived helpfulness and plays a mediating role in the relationship between the emotional intensity of negative word-of-mouth and perceived helpfulness. Consumers' self-construal moderates the effects of emotional intensity of negative word-of-mouth on altruistic motive attributions and perceived helpfulness, with the negative effects of emotional intensity of negative word-of-mouth on altruistic motive attributions and perceived helpfulness being weaker for consumers with high interdependent self-construal than for those with high independent self-construal.Originality/valueThe findings not only have a significant theoretical contribution, deepening the understanding of the effects of negative word-of-mouth but also have useful implications for practitioners to improve the management of negative word-of-mouth.
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负面口碑情绪强度对社交媒体中感知助人的影响
负面的口碑对公司有各种各样的负面影响。因此,消费者如何处理和评价负面口碑对企业来说是一个重要的问题。本研究旨在探讨负面口碑的情绪强度对消费者乐于助人感知的影响。设计/方法/方法研究模型是基于归因理论建立的。采用包括两个现场实验和两个在线实验在内的四项研究方法来检验所提出的假设。结果表明:消极口碑情绪强度负向影响利他动机归因,利他动机归因正向影响助人感知,并在消极口碑情绪强度与助人感知之间起中介作用。消费者自我构念调节负面口碑情绪强度对利他动机归因和乐于助人感知的影响,自我构念高度依赖的消费者负面口碑情绪强度对利他动机归因和乐于助人感知的负面影响弱于自我构念高度独立的消费者。研究结果不仅具有重要的理论贡献,加深了对负面口碑影响的理解,而且对从业者改进负面口碑管理具有有益的启示。
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