Decoding the information quantity-quality paradox: How eWOM volume influences consumption value uncertainties

被引:4
作者
Bang, Dohyung [1 ]
Jang, SooCheong [1 ]
机构
[1] Purdue Univ, White Lodging JW Marriott Jr Sch Hospitality & Tou, Marriott Hall,900 Mitch Daniels Blvd, W Lafayette, IN 47907 USA
关键词
eWOM; Big data; Information overload; Information polarity; Customer uncertainty; Consumption value; WORD-OF-MOUTH; ONLINE CONSUMER REVIEWS; BEHAVIORAL INTENTION; PURCHASE INTENTION; PRODUCT REVIEWS; MODERATING ROLE; TRUST; OVERLOAD; IMPACT; VALENCE;
D O I
10.1016/j.ijhm.2024.103769
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页数:14
相关论文
共 84 条
[1]   Assessment of Hotel Performance and Guest Satisfaction through eWOM: Big Data for Better Insights [J].
Aakash, Aakash ;
Aggarwal, Anu Gupta .
INTERNATIONAL JOURNAL OF HOSPITALITY & TOURISM ADMINISTRATION, 2022, 23 (02) :317-346
[2]  
Ackert L.F., 1997, J FINANC RES, V20, P263, DOI DOI 10.1111/J.1475-6803.1997.TB00248.X
[3]   Harnessing the Influence of Social Proof in Online Shopping: The Effect of Electronic Word of Mouth on Sales of Digital Microproducts [J].
Amblee, Naveen ;
Bui, Tung .
INTERNATIONAL JOURNAL OF ELECTRONIC COMMERCE, 2011, 16 (02) :91-113
[4]   Does Michelin effect exist? An empirical study on the effects of Michelin stars [J].
Bang, Dohyung ;
Choi, Kyuwan ;
Kim, Alex Jiyoung .
INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT, 2022, 34 (06) :2298-2319
[5]   Probabilistic Topic Models [J].
Blei, David M. .
COMMUNICATIONS OF THE ACM, 2012, 55 (04) :77-84
[6]   Cultural differences in processing online customer reviews: holistic versus analytic thinkers [J].
Brand, Benedikt M. ;
Kopplin, Cristopher Siegfried ;
Rausch, Theresa Maria .
ELECTRONIC MARKETS, 2022, 32 (03) :1039-1060
[7]   What drives consumers to spread electronic word of mouth in online consumer-opinion platforms [J].
Cheung, Christy M. K. ;
Lee, Matthew K. O. .
DECISION SUPPORT SYSTEMS, 2012, 53 (01) :218-225
[8]   The effect of word of mouth on sales: Online book reviews [J].
Chevalier, Judith A. ;
Mayzlin, Dina .
JOURNAL OF MARKETING RESEARCH, 2006, 43 (03) :345-354
[9]   The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets [J].
Chintagunta, Pradeep K. ;
Gopinath, Shyam ;
Venkataraman, Sriram .
MARKETING SCIENCE, 2010, 29 (05) :944-957
[10]   Stock market uncertainty and the stock-bond return relation [J].
Connolly, R ;
Stivers, C ;
Sun, LC .
JOURNAL OF FINANCIAL AND QUANTITATIVE ANALYSIS, 2005, 40 (01) :161-194