{"title":"Does the learning ability of smart products lead to user resistance?","authors":"Inès Chouk , Zied Mani","doi":"10.1016/j.jengtecman.2022.101706","DOIUrl":null,"url":null,"abstract":"<div><p>The rapid development in recent years of smart products characterized by their ability to learn is arousing increasing interest from researchers and managers. However, relatively little work has focused on negative user reactions to these devices, especially with regard to resistance and distrust reactions. Specifically, it is not known how the perception of their learning ability influences user resistance to smart products, nor what the mechanism is that leads to distrust. To address these questions, this study aims to examine the relationship between the consumer’s perception of smart products’ ability to learn and potential consumer resistance. Results of the structural equation modeling provide evidence that: (1) product learning ability has an impact on perceived complexity and perceived risks (privacy risk and discrimination risk), (2) perceived risks have an impact on user distrust, (3) perceived complexity, perceived risks and distrust have an impact on user resistance to smart products.</p></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Engineering and Technology Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0923474822000364","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
The rapid development in recent years of smart products characterized by their ability to learn is arousing increasing interest from researchers and managers. However, relatively little work has focused on negative user reactions to these devices, especially with regard to resistance and distrust reactions. Specifically, it is not known how the perception of their learning ability influences user resistance to smart products, nor what the mechanism is that leads to distrust. To address these questions, this study aims to examine the relationship between the consumer’s perception of smart products’ ability to learn and potential consumer resistance. Results of the structural equation modeling provide evidence that: (1) product learning ability has an impact on perceived complexity and perceived risks (privacy risk and discrimination risk), (2) perceived risks have an impact on user distrust, (3) perceived complexity, perceived risks and distrust have an impact on user resistance to smart products.
期刊介绍：
The Journal of Engineering and Technology Management (JET-M) is an international scholarly refereed research journal which aims to promote the theory and practice of technology, innovation, and engineering management.
The journal links engineering, science, and management disciplines. It addresses the issues involved in the planning, development, and implementation of technological capabilities to shape and accomplish the strategic and operational objectives of an organization. It covers not only R&D management, but also the entire spectrum of managerial concerns in technology-based organizations. This includes issues relating to new product development, human resource management, innovation process management, project management, technological fusion, marketing, technological forecasting and strategic planning.
The journal provides an interface between technology and other corporate functions, such as R&D, marketing, manufacturing and administration. Its ultimate goal is to make a profound contribution to theory development, research and practice by serving as a leading forum for the publication of scholarly research on all aspects of technology, innovation, and engineering management.
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