Credibility of Youtube product reviews and customers' product return intention: a product fit uncertainty perspective

Aditya Nugroho, Wei Tsong Wang

研究成果: Article同行評審

2 引文 斯高帕斯(Scopus)

摘要

Purpose: This research aims to examine the factors that influence customers' product return intentions and proposes that YouTube product reviews can mitigate customers' desire to return a product. Design/methodology/approach: The proposed theoretical research model and hypothesized relationship were investigated using a quantitative process. This study used 302 data from Indonesian young adult respondents to examine the structural model, which was analyzed using the SmartPLS 3.2 software package. Findings: The results show that YouTube product reviews, product fit uncertainty and customer satisfaction are the key determinants of customers' product return intention. Furthermore, the results show that the credibility of YouTube product reviews has a major impact on customers' familiarity with a product, satisfaction and the likelihood of returning goods to sellers. Practical implications: In the e-commerce industry, increasing the use of YouTube product reviews will help businesses eliminate unnecessary product returns. Sellers are also encouraged to collaborate with YouTube producers to review specific products, which can benefit companies by raising brand awareness and gaining customer feedback. Furthermore, YouTube online product reviews can help consumers avoid having an unpleasant shopping experience that causes emotional reactions and lowers satisfaction. Originality/value: Most research has not considered antecedents in observing the product return phenomenon; this study observes a prerequisite of consumer product returns (i.e. information asymmetry and product familiarity) and investigates the relationships between YouTube product reviews, customer satisfaction and product return intention.

原文English
頁(從 - 到)1560-1586
頁數27
期刊Information Technology and People
37
發行號4
DOIs
出版狀態Published - 2024 5月 6

All Science Journal Classification (ASJC) codes

  • 資訊系統
  • 電腦科學應用
  • 圖書館與資訊科學

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