AI strategy for global brand identity

IF 7.3 1区 管理学 Q1 BUSINESS
Industrial Marketing Management Pub Date : 2025-11-01 Epub Date: 2025-10-29 DOI:10.1016/j.indmarman.2025.10.007
S. Gupta, T.C. Melewar, P. Foroudi
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引用次数: 0

Abstract

Artificial intelligence can shape how a brand will behave, perceived and recognised by its stakeholders. A brand strategy when fed by an algorithm integrated into business processes combined with use of AI applications, can deliver personalised experiences that reflect on value brand offers and build its credibility that encourages stakeholders to trust the brand. The transparency in actions of the brand with a clear and consistent narrative establishes the foundation stones of its identity at the local, national and global level. The analysis of brand narratives offered by stakeholders strengthen its identity required by the B2B segment that needs reduced errors and operational time required for growth across national boundaries.
全球品牌识别的人工智能战略
人工智能可以塑造一个品牌的行为、被利益相关者感知和认可的方式。通过将算法集成到业务流程中,并结合人工智能应用程序的使用,品牌战略可以提供个性化的体验,反映品牌提供的价值,并建立其可信度,鼓励利益相关者信任品牌。品牌行动的透明度与清晰一致的叙事建立了其在地方,国家和全球层面的身份基石。利益相关者提供的品牌叙事分析加强了B2B细分市场所需的品牌身份,B2B细分市场需要减少错误和跨国界增长所需的运营时间。
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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