Corporate brand avoidance scale: Antecedents and consequences in industrial markets

IF 7.3 1区 管理学 Q1 BUSINESS
Amélia Brandão, Rui Pinto, Carlos Brito
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引用次数: 0

Abstract

This study addresses a significant gap in industrial B2B branding research by conceptualising, developing, and validating a generalisable measurement scale for Corporate Brand Avoidance (CBA). Grounded in Social Exchange Theory and Signalling Theory, the research adopts a sequential mixed-methods design to uncover how and why firms avoid corporate brands across industrial markets. The first study involves a qualitative exploration through semi-structured interviews with managers in the lift industry, chosen as a representative proxy for complex B2B environments, to generate initial insights into the drivers and outcomes of CBA. The second study develops and validates a multidimensional CBA scale using a large-scale survey sampling diverse sectors across the broader industrial value chain, and PLS-SEM analysis.
The resulting reflexive six-dimension scale introduces two new B2B-specific dimensions – Deficit-Liquidity Avoidance and Work-Related Avoidance – reflecting financial fragility and operational performance issues that motivate avoidance in industrial contexts. The findings further reveal that corporate brand distrust and corporate brand inauthenticity are the most influential antecedents of CBA, whereas negative corporate brand equity is its most prominent consequence. By demonstrating that negative past experience does not significantly trigger avoidance in long-term B2B relationships, the study highlights the distinctive nature of industrial decision-making. Overall, this research makes a clear contribution to advancing the theoretical understanding of negative corporate brand relationships across B2B contexts and provides a robust measurement instrument applicable across various industrial sectors.
企业品牌回避量表:工业市场的前因后果
本研究通过概念化、开发和验证企业品牌回避(CBA)的通用测量量表,解决了工业B2B品牌研究中的一个重大空白。本研究以社会交换理论和信号理论为基础,采用顺序混合方法设计来揭示企业如何以及为什么在工业市场上避免企业品牌。第一项研究通过对电梯行业管理者的半结构化访谈进行定性探索,选择作为复杂B2B环境的代表性代理,对CBA的驱动因素和结果产生初步见解。第二项研究开发并验证了多维CBA量表,使用大规模调查抽样了更广泛的工业价值链中的不同部门,并进行了PLS-SEM分析。由此产生的反射性六维度量表引入了两个新的b2b特定维度——赤字流动性规避和与工作相关的规避——反映了在工业背景下激励规避的金融脆弱性和运营绩效问题。研究发现,企业品牌不信任和企业品牌不真实性是CBA影响最大的前因,而负的企业品牌资产是其最显著的后果。通过证明消极的过去经历不会显著地引发长期B2B关系中的回避,该研究强调了工业决策的独特性质。总的来说,本研究对推进B2B背景下企业品牌负面关系的理论理解做出了明显的贡献,并提供了一个适用于各个行业的强大测量工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
17.30
自引率
20.40%
发文量
255
期刊介绍: Industrial Marketing Management delivers theoretical, empirical, and case-based research tailored to the requirements of marketing scholars and practitioners engaged in industrial and business-to-business markets. With an editorial review board comprising prominent international scholars and practitioners, the journal ensures a harmonious blend of theory and practical applications in all articles. Scholars from North America, Europe, Australia/New Zealand, Asia, and various global regions contribute the latest findings to enhance the effectiveness and efficiency of industrial markets. This holistic approach keeps readers informed with the most timely data and contemporary insights essential for informed marketing decisions and strategies in global industrial and business-to-business markets.
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