How e-WOM influences consumers' purchase intention towards private label brands on e-commerce platforms: Investigation through IAM (Information Adoption Model) and ELM (Elaboration Likelihood Model) Models

Sumit Kumar, Gyan Prakash, Bhumika Gupta and Giuseppe Cappiello

Technological Forecasting and Social Change, 2023, vol. 187, issue C

Abstract: The rapid growth of technology has given rise to a form of communication unknown to the business world i.e. “electronic word of mouth” (e-WOM), which is considered to be an ideal and the most effective way of communicating. However, as e-WOM progresses online, the factors contributing may differ from those of traditional WOM. The current study attempts to analyze the effect of e-WOM on consumer's purchase intention towards private label brands (PLB) offered by the e-tailers in India. A self-executed questionnaire was the tool to survey and extract data from 437 respondents on platforms of social media. The study brings forth a new framework integrating the models- ELM (Elaborative Likelihood Model) and IAM (Information Adoption Model) along with store image to assess the consumer's PLB purchase intention. The data was analyzed with the help of Structural Equation modeling (SEM). The outcome of the research will help the managers, marketers, e-tailers on the significance of e-WOM in making appropriate strategies to attract more and more e-shoppers. Theoretical and practical implications as well as the limitations of the study are further discussed.

Keywords: Electronic word of mouth (e-WOM); Private label brands (PLB); Electronic tailing (e-tailing); Consumer purchase intention; E-commerce (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:187:y:2023:i:c:s004016252200720x

DOI: 10.1016/j.techfore.2022.122199

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