Impact of data intelligence factors on consumers’ mobile shopping intentions

IF 10.1 1区社会学 Q1 SOCIAL ISSUES

Technology in Society Pub Date : 2025-02-26 DOI:10.1016/j.techsoc.2025.102853

Junhong He, Jiale Du, Huijian Fu, Zengpeng Liu

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引用次数: 0

Abstract

The rise of data intelligence has significantly transformed consumers' shopping behavior, but the influence of various data intelligence factors on consumers' mobile shopping intentions through consumer emotions remains under explored. This study, grounded in an environmental psychology model, combines qualitative interviews and a questionnaire survey to investigate how data intelligence factors influence consumer emotions and mobile shopping intentions. Study 1 is based on interviews with 45 participants, with various data intelligence factors, such as intelligent search, intelligent recommendation, intelligent pricing, intelligent customer service, and intelligent logistics, extracted and analyzed using NVivo software. Based on the results of Study 1, Study 2 developed a moderated mediation model to examine how data intelligence factors influence mobile shopping intentions through consumer emotions, with regulatory focus serving as a moderator. A survey was conducted, and 962 valid responses were analyzed using SPSS 25 and AMOS 21 software. The findings reveal the following: First, intelligent recommendation, intelligent customer service, and intelligent logistics have a significant positive impact on consumer emotions. Additionally, intelligent recommendation and intelligent logistics have a significant positive impact on mobile shopping intentions. Second, intelligent pricing has a significant negative impact on mobile shopping intentions. Third, consumer emotions play a significant mediating role between intelligent recommendation, intelligent customer service, intelligent logistics and mobile shopping intentions. Finally, prevention focus moderates the impact of intelligent recommendation, intelligent customer service, and intelligent logistics on mobile shopping intentions. The findings contribute to the literature on how data intelligence influences mobile shopping behavior and examine the moderating effect of regulatory focus, offering practical insights for companies to optimize their digital intelligence marketing strategies.

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数据智能因素对消费者移动购物意愿的影响

数据智能的兴起显著改变了消费者的购物行为，但各种数据智能因素通过消费者情绪对消费者移动购物意愿的影响仍有待探索。本研究以环境心理学模型为基础，结合定性访谈和问卷调查，探讨数据智能因素如何影响消费者情绪和移动购物意愿。研究1基于对45名参与者的访谈，使用NVivo软件提取和分析各种数据智能因素，如智能搜索，智能推荐，智能定价，智能客服和智能物流。在研究1的基础上，研究2建立了一个有调节的中介模型，以监管焦点为调节因子，考察数据智能因素如何通过消费者情绪影响移动购物意愿。采用SPSS 25和AMOS 21软件对962份有效问卷进行统计分析。研究发现：第一，智能推荐、智能客服、智能物流对消费者情绪有显著的正向影响。此外，智能推荐和智能物流对移动购物意愿有显著的正向影响。第二，智能定价对移动购物意愿有显著的负面影响。第三，消费者情绪在智能推荐、智能客服、智能物流与移动购物意愿之间起着显著的中介作用。最后，预防焦点调节智能推荐、智能客服和智能物流对移动购物意愿的影响。研究结果有助于研究数据智能如何影响移动购物行为，并检验监管焦点的调节作用，为企业优化其数字智能营销策略提供实用见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Technology in Society Multiple-

CiteScore

17.90

自引率

14.10%

发文量

316

审稿时长

60 days

期刊介绍： Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.