The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Past, Present, and Future of Electronic Word of Mouth (EWOM)
Abstract
Communication platforms are undergoing a transition from physical to digital spaces. The Internet has radically changed the business scenario wherein people have become the “media” for collaborating to share information. Practitioners have started using electronic word of mouth (eWOM) for consumer insight through text analytics, sentiment, hashtag analytics, and other machine learning tools. Due to the growing importance of the topic as a research area, it is vital to map the research domain. This paper uses performance analysis tools (quantitative and qualitative) and science mapping tools (conceptual and intellectual structures) for literature review and the identification of future research directions. The content analysis of emergent topics and themes offers directions for future researchers. Recommender systems, data mining (artificial intelligence and machine learning), semantics, and sentiment analysis are emergent topics. We contribute to the eWOM literature by canvassing state-of-the-art research and proposing future research directions.
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Cites
Users of the world, unite! The challenges and opportunities of Social Media
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BackgroundThe Effect of Word of Mouth on Sales: Online Book Reviews
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Electronic word-of-mouth in hospitality and tourism management
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Garfield, E. (1972) · Science · doi:10.1126/science.178.4060.471 · Cited by 2,788 · cited 1×
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BackgroundProduct/Consumption-Based Affective Responses and Postpurchase Processes
Westbrook, R. A. (1987) · Journal of Marketing Research · doi:10.1177/002224378702400302 · Cited by 2,462 · cited 1×
“Westbrook (1987) defined WOM as “ all informal communications directed at other consumers about the ownership, usage, or characteristics of particular goods and services or their sellers.”
BackgroundDefining and identifying communities in networks
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The impact of electronic word-of-mouth communication: A literature analysis and integrative model
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Personalization in personalized marketing: Trends and ways forward
Chandra, S., Verma, S., Lim, W. M., Kumar, S., & Donthu, N. (2022) · Psychology & Marketing · doi:10.1002/mar.21670 · Cited by 595
Self-citationAlexa, what do we know about conversational commerce? Insights from a systematic literature review.
Lim, W. M., Kumar, S., Verma, S., & Chaturvedi, R. (2022) · Psychology & Marketing · doi:10.1002/mar.21654 · Cited by 293
Self-citationSocial companionship with artificial intelligence: Recent trends and future avenues
Chaturvedi, R., Verma, S., Das, R., & Dwivedi, Y. K. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122634 · Cited by 244
Self-citationGiving electronic word of mouth (eWOM) as a prepurchase behavior: The case of online group buying
Lim, W. M., Ahmed, P. K., & Ali, M. Y. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.03.093 · Cited by 79
Chopra, I. P., Lim, W. M., & Jain, T. (2024) · Tourism Recreation Research · doi:10.1080/02508281.2022.2088007 · Cited by 47
Wan, Y. N., & Forey, G. (2024) · Journal of Language Teaching and Research · doi:10.17507/jltr.1502.05 · Cited by 5
Metadata
- Authors
- Verma, S., & Yadav, N.
- Venue
- Journal of Interactive Marketing
- Publisher
- SAGE Publications
- Published
- 2021-02
- Volume
- 53
- Issue
- 1
- Pages
- 111-128
- ISSN
- 1094-9968 (ISSN-L)
- 1520-6653
- OpenAlex
- W3090581317
- Cited by
- 340
- References
- 14
- FWCI
- 51.23
- Type
- journal article
- Language
- en
- Open access
- closed
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