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Measuring the impact of online reviews on consumer purchase decisions – A scale development study

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  • Fernandes, Semila
  • Panda, Rajesh
  • Venkatesh, V.G.
  • Swar, Biranchi Narayan
  • Shi, Yangyan

Abstract

Consumers' exposure to online reviews influences their online retail shopping behavior. They search for reviews while evaluating products for purchase decisions. Past studies have indicated that online reviews affect the credibility and trust of the sellers and the products they sell on online platforms. Keeping this in view, the current paper aims to develop and validate a scale to understand the impact of online reviews on consumer purchase decisions. Data were collected from 431 young online shoppers for this research. The initial exploratory factor analysis (EFA) results helped identify four factors, viz. source credibility, volume, language and comprehension, and relevance which constitute the scale. The scale was validated by confirmatory factor analysis (CFA). The study's findings fill the gap of having a standardized scale that online retailers can use as indicators to assist consumers in their online decision-making. The discussions and implications support consumers' susceptibility to online reviews, an essential source for product and brand information in facilitating online consumers' purchase decisions.

Suggested Citation

  • Fernandes, Semila & Panda, Rajesh & Venkatesh, V.G. & Swar, Biranchi Narayan & Shi, Yangyan, 2022. "Measuring the impact of online reviews on consumer purchase decisions – A scale development study," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
  • Handle: RePEc:eee:joreco:v:68:y:2022:i:c:s096969892200159x
    DOI: 10.1016/j.jretconser.2022.103066
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    1. Hardesty, David M. & Bearden, William O., 2004. "The use of expert judges in scale development: Implications for improving face validity of measures of unobservable constructs," Journal of Business Research, Elsevier, vol. 57(2), pages 98-107, February.
    2. Lu, Shuya & Wu, Jianan & Tseng, Shih-Lun (Allen), 2018. "How Online Reviews Become Helpful: A Dynamic Perspective," Journal of Interactive Marketing, Elsevier, vol. 44(C), pages 17-28.
    3. Andreas Munzel, 2016. "Assisting consumers in detecting fake reviews: The role of identity information disclosure and consensus," Post-Print hal-02423574, HAL.
    4. Weisstein, Fei L. & Song, Lei & Andersen, Peter & Zhu, Ying, 2017. "Examining impacts of negative reviews and purchase goals on consumer purchase decision," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 201-207.
    5. Munzel, Andreas, 2016. "Assisting consumers in detecting fake reviews: The role of identity information disclosure and consensus," Journal of Retailing and Consumer Services, Elsevier, vol. 32(C), pages 96-108.
    6. Guo, Junpeng & Wang, Xiaopan & Wu, Yi, 2020. "Positive emotion bias: Role of emotional content from online customer reviews in purchase decisions," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    7. Anika Stuppy & Nicole L Mead & Stijn M J Van Osselaer & JoAndrea Hoegg & Eileen Fischer & Kirmani Amna, 2020. "I Am, Therefore I Buy: Low Self-Esteem and the Pursuit of Self-Verifying Consumption [The Origins of Deference: When Do People Prefer Lower Status?]," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 46(5), pages 956-973.
    8. Fernandes, Semila & Venkatesh, V.G. & Panda, Rajesh & Shi, Yangyan, 2021. "Measurement of factors influencing online shopper buying decisions: A scale development and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    9. Rauschnabel, Philipp A. & Felix, Reto & Hinsch, Chris, 2019. "Augmented reality marketing: How mobile AR-apps can improve brands through inspiration," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 43-53.
    10. Shankar, Amit & Jebarajakirthy, Charles & Ashaduzzaman, Md, 2020. "How do electronic word of mouth practices contribute to mobile banking adoption?," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    11. Duarte, Paulo & Costa e Silva, Susana & Ferreira, Margarida Bernardo, 2018. "How convenient is it? Delivering online shopping convenience to enhance customer satisfaction and encourage e-WOM," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 161-169.
    12. Farzana Quoquab & Jihad Mohammad, 2020. "Cognitive, Affective and Conative Domains of Sustainable Consumption: Scale Development and Validation Using Confirmatory Composite Analysis," Sustainability, MDPI, vol. 12(18), pages 1-22, September.
    13. El-Adly, Mohammed Ismail, 2019. "Modelling the relationship between hotel perceived value, customer satisfaction, and customer loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 322-332.
    14. Lissitsa, Sabina & Kol, Ofrit, 2016. "Generation X vs. Generation Y – A decade of online shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 304-312.
    15. Yi, Jisu & Oh, Yun Kyung, 2022. "The informational value of multi-attribute online consumer reviews: A text mining approach," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    16. Stein, Alisha & Ramaseshan, B., 2016. "Towards the identification of customer experience touch point elements," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 8-19.
    17. Tran, Gina A. & Strutton, David, 2020. "Comparing email and SNS users: Investigating e-servicescape, customer reviews, trust, loyalty and E-WOM," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    18. Shareef, Mahmud Akhter & Mukerji, Bhasker & Dwivedi, Yogesh K. & Rana, Nripendra P. & Islam, Rubina, 2019. "Social media marketing: Comparative effect of advertisement sources," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 58-69.
    19. Angela Eliza Micu & Olfa Bouzaabia & Rym Bouzaabia & Adrian Micu & Alexandru Capatina, 2019. "Online customer experience in e-retailing: implications for web entrepreneurship," International Entrepreneurship and Management Journal, Springer, vol. 15(2), pages 651-675, June.
    20. Thakur, Rakhi, 2018. "Customer engagement and online reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 48-59.
    21. Herhausen, Dennis & Binder, Jochen & Schoegel, Marcus & Herrmann, Andreas, 2015. "Integrating Bricks with Clicks: Retailer-Level and Channel-Level Outcomes of Online–Offline Channel Integration," Journal of Retailing, Elsevier, vol. 91(2), pages 309-325.
    22. Srivastava, Vartika & Kalro, Arti D., 2019. "Enhancing the Helpfulness of Online Consumer Reviews: The Role of Latent (Content) Factors," Journal of Interactive Marketing, Elsevier, vol. 48(C), pages 33-50.
    23. Horstmann, Felix, 2017. "Measuring the shopper's attitude toward the point of sale display: Scale development and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 36(C), pages 112-123.
    24. Dixit, Saumya & Jyoti Badgaiyan, Anant & Khare, Arpita, 2019. "An integrated model for predicting consumer's intention to write online reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 112-120.
    25. Kawaf, Fatema & Istanbulluoglu, Doga, 2019. "Online fashion shopping paradox: The role of customer reviews and facebook marketing," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 144-153.
    26. Dhruv Grewal & John Hulland & Praveen K. Kopalle & Elena Karahanna, 2020. "The future of technology and marketing: a multidisciplinary perspective," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 1-8, January.
    27. Ismagilova, Elvira & Slade, Emma & Rana, Nripendra P. & Dwivedi, Yogesh K., 2020. "The effect of characteristics of source credibility on consumer behaviour: A meta-analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    28. Gottschalk, Sabrina A. & Mafael, Alexander, 2017. "Cutting Through the Online Review Jungle — Investigating Selective eWOM Processing," Journal of Interactive Marketing, Elsevier, vol. 37(C), pages 89-104.
    29. Schneider, Patricia J. & Zielke, Stephan, 2020. "Searching offline and buying online – An analysis of showrooming forms and segments," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    30. Ahani, Ali & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh & Sanzogni, Louis & Tarik, A. Rashid & Knox, Kathy & Samad, Sarminah & Ibrahim, Othman, 2019. "Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 331-343.
    31. Andreas Munzel, 2016. "Assisting consumers in detecting fake reviews: The role of identity information disclosure and consensus," Post-Print halshs-01522497, HAL.
    32. Li, Kunlin & Chen, Yuhan & Zhang, Liyi, 2020. "Exploring the influence of online reviews and motivating factors on sales: A meta-analytic study and the moderating role of product category," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    33. Nick Hajli, 2018. "Ethical Environment in the Online Communities by Information Credibility: A Social Media Perspective," Journal of Business Ethics, Springer, vol. 149(4), pages 799-810, June.
    34. Fu, Hanliang & Manogaran, Gunasekaran & Wu, Kuang & Cao, Ming & Jiang, Song & Yang, Aimin, 2020. "Intelligent decision-making of online shopping behavior based on internet of things," International Journal of Information Management, Elsevier, vol. 50(C), pages 515-525.
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