How Well Do Consumer-Brand Relationships Drive Customer Brand Loyalty? Generalizations from a Meta-Analysis of Brand Relationship Elasticities
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作者:
Khamitov, Mansur
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Nanyang Technol Univ, Mkt, Nanyang Business Sch, Singapore, SingaporeNanyang Technol Univ, Mkt, Nanyang Business Sch, Singapore, Singapore
Khamitov, Mansur
[1
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Wang, Xin
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Western Univ, Mkt & Stat, Ivey Business Sch, London, ON, Canada
Western Univ, Ivey Business Sch, London, ON, CanadaNanyang Technol Univ, Mkt, Nanyang Business Sch, Singapore, Singapore
Wang, Xin
[2
,3
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Thomson, Matthew
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Western Univ, Mkt, Ivey Business Sch, London, ON, CanadaNanyang Technol Univ, Mkt, Nanyang Business Sch, Singapore, Singapore
Thomson, Matthew
[4
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机构:
[1] Nanyang Technol Univ, Mkt, Nanyang Business Sch, Singapore, Singapore
[2] Western Univ, Mkt & Stat, Ivey Business Sch, London, ON, Canada
[3] Western Univ, Ivey Business Sch, London, ON, Canada
[4] Western Univ, Mkt, Ivey Business Sch, London, ON, Canada
To advance understanding of how well different types of brand relationships drive customer brand loyalty and to help companies improve the effectiveness of their relationship-building investments, this article conducts a meta-analysis of the link between five consumer-brand relationship constructs and customer brand loyalty. The analysis of 588 elasticities from 290 studies reported in 255 publications over 24 years (n = 348,541 across 46 countries) reveals that the aggregate brand relationship elasticity is .439. More importantly, results demonstrate under what conditions various types of brand relationships increase loyalty. For example, while elasticities are generally highest for love-based and attachment-based brand relationships, the positive influence of brand relationships on customer brand loyalty is stronger in more recent (vs. earlier) years, for nonstatus (vs. status) and publicly (vs. privately) consumed brands, and for estimates using attitudinal (vs. behavioral) customer brand loyalty. Overall, the results suggest that brand relationship elasticities vary considerably across brand, loyalty, time, and consumer characteristics. Drawing on these findings, the current research advances implications for managers and scholars and provide avenues for future research.
机构:
Western Univ, DAN Dept Management & Org Studies, Consumer Behav, London, ON, CanadaWestern Univ, DAN Dept Management & Org Studies, Consumer Behav, London, ON, Canada
Connors, Scott
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Khamitov, Mansur
Thomson, Matthew
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Western Univ, Mkt Commun, Ivey Business Sch, London, ON, CanadaWestern Univ, DAN Dept Management & Org Studies, Consumer Behav, London, ON, Canada
Thomson, Matthew
Perkins, Andrew
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Washington State Univ, Carson Coll Business, Mkt, Pullman, WA 99164 USAWestern Univ, DAN Dept Management & Org Studies, Consumer Behav, London, ON, Canada
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Univ Teknol Malaysia, Hashim Int Business Sch, Johor Baharu 81310, MalaysiaUniv Teknol Malaysia, Hashim Int Business Sch, Johor Baharu 81310, Malaysia
Pu, Yibei
Zaidin, Norzaidahwati
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Univ Teknol Malaysia, Hashim Int Business Sch, Johor Baharu 81310, MalaysiaUniv Teknol Malaysia, Hashim Int Business Sch, Johor Baharu 81310, Malaysia
Zaidin, Norzaidahwati
Zhu, Yaodong
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Univ Teknol Malaysia, Hashim Int Business Sch, Johor Baharu 81310, MalaysiaUniv Teknol Malaysia, Hashim Int Business Sch, Johor Baharu 81310, Malaysia
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Texas Christian Univ, Bob Schieffer Coll Commun, Dept Strateg Commun, Ft Worth, TX 76129 USATexas Christian Univ, Bob Schieffer Coll Commun, Dept Strateg Commun, Ft Worth, TX 76129 USA
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Shenzhen Univ, Res Inst Business Analyt & Supply Chain Management, Coll Management, Shenzhen 518060, Peoples R ChinaShenzhen Univ, Res Inst Business Analyt & Supply Chain Management, Coll Management, Shenzhen 518060, Peoples R China
Husnain, Mudassir
Zhang, Qingyu
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Shenzhen Univ, Res Inst Business Analyt & Supply Chain Management, Coll Management, Shenzhen 518060, Peoples R ChinaShenzhen Univ, Res Inst Business Analyt & Supply Chain Management, Coll Management, Shenzhen 518060, Peoples R China
Zhang, Qingyu
Usman, Muhammad
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Univ Sharjah, Coll Business Adm, Sharjah, U Arab EmiratesShenzhen Univ, Res Inst Business Analyt & Supply Chain Management, Coll Management, Shenzhen 518060, Peoples R China
Usman, Muhammad
Hayat, Khizar
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Shenzhen Univ, Res Inst Business Analyt & Supply Chain Management, Coll Management, Shenzhen 518060, Peoples R ChinaShenzhen Univ, Res Inst Business Analyt & Supply Chain Management, Coll Management, Shenzhen 518060, Peoples R China
Hayat, Khizar
Shahzad, Khuram
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Hubei Univ Econ, Inst Big Data & Digital Econ, Sch Informat Management, Wuhan, Peoples R ChinaShenzhen Univ, Res Inst Business Analyt & Supply Chain Management, Coll Management, Shenzhen 518060, Peoples R China