{"title":"解码信息数量-质量悖论:网络口碑数量如何影响消费价值的不确定性","authors":"Dohyung Bang, SooCheong (Shawn) Jang","doi":"10.1016/j.ijhm.2024.103769","DOIUrl":null,"url":null,"abstract":"<div><p>This study explored how the type, quantity, and polarity of information shape customer uncertainty in consumption values, utilizing longitudinal and large-scale user-generated data collected from Yelp. Two types of curvilinear relationships between information quantity and consumer uncertainty were identified. Pattern (a) exhibits an inverted U-shaped trend where uncertainty rises with information volume (under scarcity) but diminishes after a threshold (indicating sufficiency). In contrast, Pattern (b) shows recurrent uncertainty surges after surpassing a volume threshold, signaling information overload. Moreover, the study revealed that the polarity of visual information significantly moderates the impact of information quantity on customer uncertainty. The findings suggest that restaurant managers, within the eWOM context, should tailor information management strategies corresponding to different stages of information diffusion. Lastly, the study underscores the importance of monitoring conflicting information for restaurant managers to effectively mitigate customer uncertainty, emphasizing the utility of the novel big data-based approach to measure customer uncertainty.</p></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":null,"pages":null},"PeriodicalIF":9.9000,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Decoding the information quantity-quality paradox: How eWOM volume influences consumption value uncertainties\",\"authors\":\"Dohyung Bang, SooCheong (Shawn) Jang\",\"doi\":\"10.1016/j.ijhm.2024.103769\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study explored how the type, quantity, and polarity of information shape customer uncertainty in consumption values, utilizing longitudinal and large-scale user-generated data collected from Yelp. Two types of curvilinear relationships between information quantity and consumer uncertainty were identified. Pattern (a) exhibits an inverted U-shaped trend where uncertainty rises with information volume (under scarcity) but diminishes after a threshold (indicating sufficiency). In contrast, Pattern (b) shows recurrent uncertainty surges after surpassing a volume threshold, signaling information overload. Moreover, the study revealed that the polarity of visual information significantly moderates the impact of information quantity on customer uncertainty. The findings suggest that restaurant managers, within the eWOM context, should tailor information management strategies corresponding to different stages of information diffusion. Lastly, the study underscores the importance of monitoring conflicting information for restaurant managers to effectively mitigate customer uncertainty, emphasizing the utility of the novel big data-based approach to measure customer uncertainty.</p></div>\",\"PeriodicalId\":48444,\"journal\":{\"name\":\"International Journal of Hospitality Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":9.9000,\"publicationDate\":\"2024-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Hospitality Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0278431924000811\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HOSPITALITY, LEISURE, SPORT & TOURISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Hospitality Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0278431924000811","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 0
摘要
本研究利用从 Yelp 收集的纵向和大规模用户生成数据,探讨了信息的类型、数量和极性如何影响消费者消费价值的不确定性。研究发现,信息量与消费者不确定性之间存在两种曲线关系。模式(a)呈现出倒 U 型趋势,即不确定性随着信息量的增加而增加(在稀缺的情况下),但在达到临界值后会减少(表明信息充足)。与此相反,模式(b)显示,在超过信息量阈值后,不确定性反复飙升,表明信息超载。此外,研究还发现,视觉信息的极性在很大程度上调节了信息量对顾客不确定性的影响。研究结果表明,在网络口碑背景下,餐厅管理者应根据信息传播的不同阶段制定相应的信息管理策略。最后,本研究强调了餐厅管理者监控冲突信息以有效缓解顾客不确定性的重要性,并强调了基于大数据的新型顾客不确定性测量方法的实用性。
Decoding the information quantity-quality paradox: How eWOM volume influences consumption value uncertainties
This study explored how the type, quantity, and polarity of information shape customer uncertainty in consumption values, utilizing longitudinal and large-scale user-generated data collected from Yelp. Two types of curvilinear relationships between information quantity and consumer uncertainty were identified. Pattern (a) exhibits an inverted U-shaped trend where uncertainty rises with information volume (under scarcity) but diminishes after a threshold (indicating sufficiency). In contrast, Pattern (b) shows recurrent uncertainty surges after surpassing a volume threshold, signaling information overload. Moreover, the study revealed that the polarity of visual information significantly moderates the impact of information quantity on customer uncertainty. The findings suggest that restaurant managers, within the eWOM context, should tailor information management strategies corresponding to different stages of information diffusion. Lastly, the study underscores the importance of monitoring conflicting information for restaurant managers to effectively mitigate customer uncertainty, emphasizing the utility of the novel big data-based approach to measure customer uncertainty.
期刊介绍:
The International Journal of Hospitality Management serves as a platform for discussing significant trends and advancements in various disciplines related to the hospitality industry. The publication covers a wide range of topics, including human resources management, consumer behavior and marketing, business forecasting and applied economics, operational management, strategic management, financial management, planning and design, information technology and e-commerce, training and development, technological developments, and national and international legislation.
In addition to covering these topics, the journal features research papers, state-of-the-art reviews, and analyses of business practices within the hospitality industry. It aims to provide readers with valuable insights and knowledge in order to advance research and improve practices in the field.
The journal is also indexed and abstracted in various databases, including the Journal of Travel Research, PIRA, Academic Journal Guide, Documentation Touristique, Leisure, Recreation and Tourism Abstracts, Lodging and Restaurant Index, Scopus, CIRET, and the Social Sciences Citation Index. This ensures that the journal's content is widely accessible and discoverable by researchers and practitioners in the hospitality field.