Assessing word-of-mouth reputation of influencers on B2C live streaming platforms : the role of the characteristics of information source
Purpose: The purpose of this paper is to assess the influence mechanism of the word-of-mouth reputation of influencers. Design/methodology/approach: This study explored word-of-mouth reputation from four characteristics of information source of influencers: credibility, professionalism, interactivity and attractiveness. The grounded theory was used to extract the characteristic indicators of influencers and used questionnaire surveys to obtain 218 valid samples. The fuzzy-set qualitative comparative analysis (fsQCA) was used for the configuration analysis. Findings: The results revealed the following: (1) a causal asymmetric correlation exists between the driving mechanism of high word-of-mouth reputation and non-high word-of-mouth reputation; (2) influencers matching high word-of-mouth reputation comprises potential, developmental and almighty types, whereas live streaming influencer matching non-high word-of-mouth reputation comprises elementary and groping types; and (3) all factors must be combined to play a role, and neutral permutations of two solutions were found among the three overall solutions to attain high word-of-mouth reputation; (4) the combination of high user activity and high exposure is the core configuration that results in high word-of-mouth reputation. Practical implications: This study provides recommendation for consumers, live streamers, brand and e-commerce platform on how to promote the sustainable and healthy development of influencer marketing. Originality/value: This study focused on elucidating how the characteristics of information source affect the word-of-mouth reputation of influencers and have a reference value for the research on word-of-mouth reputation in the context of live commerce.
Year of publication: |
2021
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Authors: | Wang, Lin ; Wang, Zhihua ; Wang, Xiaoying ; Zhao, Yang |
Published in: |
Asia Pacific Journal of Marketing and Logistics. - Emerald, ISSN 1355-5855, ZDB-ID 2037486-0. - Vol. 34.2021, 7 (05.11.), p. 1544-1570
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Publisher: |
Emerald |
Saved in:
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