从社交媒体的角度探讨人工智能对消费者行为和数字营销的影响

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Cui Weijun, Muzamil Mohib
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引用次数: 0

摘要

人工智能(AI)的结合正在迅速发展,并显著地影响着消费者的购买行为和营销方法。本研究考察了人工智能在提高对巴基斯坦消费者偏好和数字营销绩效的理解方面的作用。尽管分析、机器学习和推荐系统等技术具有增强个性化、流程自动化和用户参与度的潜力,但它们在调节社交媒体平台方面的应用仍未得到充分探索。本研究考察了人工智能(AI)对消费者购买行为和数字营销的影响和作用,其中一个关键的调节变量是社交媒体。该研究基于技术接受模型(TAM),旨在调查基于人工智能的技术对消费者决策的影响,从而促进营销中的个性化和有效性。数据从巴基斯坦的658名Foodpanda用户中收集,以完成一项结构化的在线调查,其中包含一些标准的李克特量表测量项目。研究结果表明,人工智能、消费者购买行为、数字营销和社交媒体参与之间存在显著的正相关关系。消费者购买产品的购买行为中介了人工智能与数字营销之间的联系,社交媒体放大了消费者行为对营销绩效的影响。这项研究对理论和实践都是有益的,因为它在人工智能驱动的营销环境中验证了TAM理论,并为那些希望通过人工智能和社交媒体最大化营销活动的营销人员提供了实际步骤。本文还讨论了局限性和未来研究的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the Impact of AI on Consumer Behavior and Digital Marketing Through the Lens of Social Media

The incorporation of Artificial Intelligence (AI) is rapidly advancing and significantly shaping consumer purchasing behavior and marketing approaches. This research examines AI's role in increasing the understanding of consumer preferences and digital marketing performance within Pakistan. Despite the potential of technologies such as analytics, machine learning, and recommender systems to enhance personalization, process automation, and user engagement, their application in moderating social media platforms remains underexplored. This study examines the effect and role of Artificial Intelligence (AI) on consumer-buyer behavior and digital marketing, with a key moderating variable being social media. The study, based on the Technology Acceptance Model (TAM), aims to investigate the impact of AI-based technologies on consumer decision-making, which promotes personalization and effectiveness in marketing. Data was collected from 658 Foodpanda users in Pakistan to complete a structured online survey with some standard Likert-scale measurement items. The findings indicate that significant and positive relationships exist among AI, consumer purchasing behavior, digital marketing, and social media engagement. The consumer's purchasing behavior to purchase a product mediates the connection between AI and digital marketing, and social media amplifies the effects of consumer behavior on marketing performance. This study is beneficial to both theory and practice since it validates the theory of TAM in an AI-driven marketing setting and provides practical steps targeted towards those marketers who want to maximize campaigns via AI and social media. There are also limitations and areas of future research discussed.

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来源期刊
Concurrency and Computation-Practice & Experience
Concurrency and Computation-Practice & Experience 工程技术-计算机:理论方法
CiteScore
5.00
自引率
10.00%
发文量
664
审稿时长
9.6 months
期刊介绍: Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing.
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