技术民主化:生成式人工智能对内容营销机构的影响

IF 7.5 1区 管理学 Q1 BUSINESS
Risqo Wahid , Joel Mero , Paavo Ritala
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引用次数: 0

摘要

本研究探讨了技术民主化如何影响市场结构和现有企业战略,重点关注生成式人工智能和内容营销机构(cma)。虽然过去的技术增强了营销能力,但生成式人工智能重新分配了核心创造、技术和经济能力,挑战了传统的代理-客户动态,并促使现有公司之间的战略重新配置。通过对来自cma及其客户的22位专业人士的定性研究,我们开发了一个框架,展示了生成式人工智能如何实现广泛的内容营销能力,改变内容营销市场结构,并迫使cma重新定义其价值主张。我们的研究结果揭示了从基于执行的服务到专业驱动的角色的转变,包括创造性咨询、超个性化和人工智能支持的服务创新。我们从理论上扩展了技术民主化的概念,提供了一个连接能力再分配、市场重组和现任应对策略的结构化框架。实际上,我们提出了一个剧本来帮助cma通过(1)战略重新定位,(2)运营整合,(3)道德、监管和合规,(4)市场和客户参与来适应这种转变。总体而言,该研究为生成式人工智能、市场民主化和营销机构转型之间不断发展的相互作用提供了概念和管理见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Technology-enabled democratization: Impact of generative AI on content marketing agencies
This study investigates how technology-enabled democratization affects market structures and incumbent firm strategies, with a focus on generative AI and content marketing agencies (CMAs). While past technologies augment marketing capabilities, generative AI redistributes core creation, technical, and economic capabilities—challenging traditional agency–client dynamics and prompting strategic reconfigurations among incumbent firms. Drawing on a qualitative study of 22 professionals from CMAs and their clients, we develop a framework showing how generative AI enables widespread content marketing capabilities, alters content marketing market structures, and forces CMAs to redefine their value propositions. Our findings reveal a shift from execution-based services to expertise-driven roles, including creative consulting, hyper-personalization, and AI-enabled service innovation. We contribute theoretically by extending the concept of technology-enabled democratization, offering a structured framework that links capability redistribution, market restructuring, and incumbent response strategies. Practically, we propose a playbook to help CMAs adapt to this transformation through (1) strategic repositioning, (2) operational integration, (3) ethics, regulation, and compliance, (4) and market and client engagement. Overall, the study offers conceptual and managerial insights into the evolving interplay between generative AI, market democratization, and marketing agency transformation.
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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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