Observational learning: influence of regulatory focus, knowledge, and summarized observable recommendations on consumer decision outcomes in an online environment
Observational learning: influence of regulatory focus, knowledge, and summarized observable recommendations on consumer decision outcomes in an online environment
When consumers have access to a large number of reviews for a product on multiple e-tailer websites, they may rely mainly on aggregated summaries of online reviews (SORs) (e.g., percentage of reviewers recommending a product) instead of on textual content of individual reviews. The SOR type may be “High” (when a majority of reviewers recommend a product on multiple merchant websites), “Low” (when only a minority of reviewers recommend a product on multiple merchant websites), or “Mixed” (when a majority and a minority of reviewers recommend the same product across different websites). Consumers’ prior product knowledge and regulatory focus moderate the impact of SOR type on consumer decision outcomes. Across three studies (representing low, moderate, and high levels of consumer knowledge), we find that negativity bias holds across both promotion and prevention foci in the Low-SOR condition. In the High-SOR condition, the level of prior knowledge moderates the relationship between SOR and purchase intention. Mixed-SOR has no effect. We also propose and find support for a framework for SORs by extending Banduraʼs observational learning theory. Finally, we discuss the theoretical and managerial implications.
1428-1450
Patil, Ashutosh
18e60b25-d891-4baf-824a-40d9cc8f4376
Malhotra, Naresh K.
656a4e2c-d237-4084-b18b-cfcb0293a7da
Maity, Moutusy
5f3d5d42-c5ba-4168-83c7-35b2888654a0
9 December 2021
Patil, Ashutosh
18e60b25-d891-4baf-824a-40d9cc8f4376
Malhotra, Naresh K.
656a4e2c-d237-4084-b18b-cfcb0293a7da
Maity, Moutusy
5f3d5d42-c5ba-4168-83c7-35b2888654a0
Patil, Ashutosh, Malhotra, Naresh K. and Maity, Moutusy
(2021)
Observational learning: influence of regulatory focus, knowledge, and summarized observable recommendations on consumer decision outcomes in an online environment.
International Journal of Consumer Studies, 46 (4), .
(doi:10.1111/ijcs.12769).
Abstract
When consumers have access to a large number of reviews for a product on multiple e-tailer websites, they may rely mainly on aggregated summaries of online reviews (SORs) (e.g., percentage of reviewers recommending a product) instead of on textual content of individual reviews. The SOR type may be “High” (when a majority of reviewers recommend a product on multiple merchant websites), “Low” (when only a minority of reviewers recommend a product on multiple merchant websites), or “Mixed” (when a majority and a minority of reviewers recommend the same product across different websites). Consumers’ prior product knowledge and regulatory focus moderate the impact of SOR type on consumer decision outcomes. Across three studies (representing low, moderate, and high levels of consumer knowledge), we find that negativity bias holds across both promotion and prevention foci in the Low-SOR condition. In the High-SOR condition, the level of prior knowledge moderates the relationship between SOR and purchase intention. Mixed-SOR has no effect. We also propose and find support for a framework for SORs by extending Banduraʼs observational learning theory. Finally, we discuss the theoretical and managerial implications.
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Published date: 9 December 2021
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Local EPrints ID: 474575
URI: http://eprints.soton.ac.uk/id/eprint/474575
ISSN: 1470-6423
PURE UUID: a03c7ec5-8d52-4ef7-894d-ebeab2ac5636
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Date deposited: 27 Feb 2023 17:43
Last modified: 17 Mar 2024 04:18
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Author:
Ashutosh Patil
Author:
Naresh K. Malhotra
Author:
Moutusy Maity
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