品牌目的权益驱动因素的基础理论方法:实践者的视角

IF 4 Q2 BUSINESS Journal of Marketing Analytics Pub Date : 2024-01-27 DOI:10.1057/s41270-023-00277-9
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引用次数: 0

摘要

摘要 品牌目的是企业考虑和应用的一个相关新概念。然而,现有的研究主要是孤立的案例研究,强调其作为价值和品牌识别生成器的应用证据。还没有研究确定品牌目的的价值,也没有围绕这一点的理论或概念。从这个意义上说,本研究旨在从系统分析的数据中绘制与品牌目的价值相关的理论图,从而揭示相关现象及其关系。本研究采用基础理论(Grounded Theory),与市场营销专家(从业人员)共同开展了一项归纳性质的探索性研究。使用 Atlas.Ti 23 软件进行分析。在完成开放、轴向和选择性编码阶段后,确定了核心现象,并将其命名为品牌目的权益(BPE)。BPE 被划分为四个子类别:积极分子、激励者、差异化者和身份创造者,这表明 BPE 是一个多维度的建构。这是第一项提供探索性概念框架的研究,它为品牌目的价值的概念化奠定了理论基础。从这个意义上说,这项研究为建立品牌目的价值理论和测量原型量表铺平了道路,此外还可以确定品牌目的的前因后果及其对品牌资产的影响,是这一领域模型开发和实证改进的进步和基础。
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The grounded theory approach to brand purpose equity drivers: the practitioner’s perspective

Abstract

The brand purpose is a relevant new concept considered and applied by companies. However, the existing research is primarily isolated case studies, highlighting evidence of its application as a generator of value and brand identity. No studies still identify the value of a brand purpose, and there is no theory or concept around this point. In this sense, this research aims to map the theory related to the value of a brand purpose from data analyzed systematically that could reveal the related phenomenon and its relations. An exploratory study of an inductive nature was carried out using Grounded Theory with specialists (practitioners) in marketing. The Atlas. Ti 23 software was selected to carry out the analyses in this study. After completing the open, axial, and selective coding phases, the core phenomenon was identified and entitled brand purpose equity (BPE). Four subcategories of BPE were classified: activists, inspirational, differentiators, and identity creators, suggesting that BPE is a multidimensional construct. This is the first study that offers an exploratory conceptual framework to conceptualize and create a theoretical basis for the value of brand purpose. In this sense, this research paves the way for building the brand purpose value theory and a measurement prototype scale, in addition to allowing the identification of antecedents and consequences of the brand purpose and its impacts on brand equity, representing advances and fundamentals for the development of models and empirical evidence of improvement in this area.

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来源期刊
CiteScore
5.40
自引率
16.70%
发文量
46
期刊介绍: Data has become the new ore in today’s knowledge economy. However, merely storing and reporting are not enough to thrive in today’s increasingly competitive markets. What is called for is the ability to make sense of all these oceans of data, and to apply those insights to the way companies approach their markets, adjust to changing market conditions, and respond to new competitors. Marketing analytics lies at the heart of this contemporary wave of data driven decision-making. Companies can no longer survive when they rely on gut instinct to make decisions. Strategic leverage of data is one of the few remaining sources of sustainable competitive advantage. New products can be copied faster than ever before. Staff are becoming less loyal as well as more mobile, and business centers themselves are moving across the globe in a world that is getting flatter and flatter. The Journal of Marketing Analytics brings together applied research and practice papers in this blossoming field. A unique blend of applied academic research, combined with insights from commercial best practices makes the Journal of Marketing Analytics a perfect companion for academics and practitioners alike. Academics can stay in touch with the latest developments in this field. Marketing analytics professionals can read about the latest trends, and cutting edge academic research in this discipline. The Journal of Marketing Analytics will feature applied research papers on topics like targeting, segmentation, big data, customer loyalty and lifecycle management, cross-selling, CRM, data quality management, multi-channel marketing, and marketing strategy. The Journal of Marketing Analytics aims to combine the rigor of carefully controlled scientific research methods with applicability of real world case studies. Our double blind review process ensures that papers are selected on their content and merits alone, selecting the best possible papers in this field.
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