인공지능 시대의 마케팅 연구 - 주요 연구 리뷰와 향후 연구 방향 제안 -
Marketing Research in the Age of Artificial Intelligence - A Literature Review and Future Research Agenda -
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인공지능 기술 개발은 엔지니어의 문제이지만, 이를 최종적으로 사용하는 주체는 결국 일반 소비자이다. 즉 인공지능은 단지 공학적 문제의 영역이 아니라 마케팅, 소비자 관점에서도 이해될 필요가 있다. 본 연구는 지금까지 진행된 인공지능 연구를 (1) 인공지능 기술 및 제품 수용에 영향을 미치는 요인 연구, (2) 알고리즘 회피 및 AI에 대한 의구심 연구, (3) 특정 산업, 제품의 인공지능 활용에 대한 연구, (4) 일반 소비자 행동 및 심리 관점의 인공지능 연구, (5) 기타 연구로 분류하였다. 그리고 기존 연구 결과를 바탕으로 향후 인공지능 관련 연구에서 필요한 주제 및 방향을 제안하였다. 구체적으로 (1) 새로운 인공지능 기술 수용 연구, (2) 인공지능으로 인한 마케팅, 산업의 변화 연구, (3) 인공지능과 관련된 사회 이슈 및 소비자 문제 연구가 필요함을 제안하였다. 본 연구 결과를 통해 마케팅, 소비자 관련 연구자들은 인공지능과 관련한 새로운 연구 아이디어를 얻을 수 있다. 또한, 본 연구는 기업의 마케터들과 정부 정책 결정자들에게 인공지능 문제를 단지 기술의 문제가 아닌 소비자 입장에서 고민해 볼 수 있는 기회를 제공한다.
Abstract
The development of artificial intelligence is a matter of engineers, but it is the general consumers who finally uses it. This means that AI needs to be understood from a marketing and consumer perspective, not just the domain of engineering problems. This study examines artificial intelligence research conducted so far in terms of marketing and consumer, and classifies them into five types of research: (1) factors affecting acceptance of artificial intelligence technology and products, (2) algorithm aversion and AI doubt (3) the use of artificial intelligence in specific industries and products, (4) artificial intelligence from the perspective of general consumer behavior and psychology, and (5) other studies. Based on the results of previous research, new research topics and directions related to artificial intelligence were proposed. The results of this study suggest new research topic ideas related to artificial intelligence to marketing and consumer researchers, and provide marketers and government policy makers with an opportunity to consider artificial intelligence issues from the point of view of consumers, not just technology issues.
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