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Understanding consumer motivation to share IoT products data
Journal of Indian Business Research ( IF 2.1 ) Pub Date : 2020-02-05 , DOI: 10.1108/jibr-09-2019-0268
Sushant Bhatnagar , Rajeev Kumra

Almost every study undertaken by academicians or practitioners on the Internet of Things (IoT) has mainly highlighted the privacy concerns and information security issues with the IoT products. On the contrary, this paper aims to explore the motivators that could encourage customers of an IoT product to share their IoT product’s data with a third-party aggregator system to facilitate computer-generated product reviews which are defined as electronic Word of Thing (eWOT) in this paper.,An experiment was conducted with customized e-commerce prototypes of eWOT. Structural equation modeling analysis was conducted to test the measurement model by using confirmatory factor analysis and thereafter a structural model to test the relationships amongst the latent variables.,This paper found that five consumer motivators (personal innovativeness, enjoyment of helping, anticipated extrinsic rewards, moral obligations and venting negative feelings) contribute to eWOT intention.,This research advances the understanding of human interaction with computer-generated product reviews and opens up avenues for future studies in online consumer behavior in the IoT context.,This paper presents motivators for eWOT intention to share IoT product data. This is done through a novel concept of an experimental IoT-based prototype, namely, eWOT. These eWOT reviews can be generated from the IoT products data by applying analytics and using natural language generation. To the best of the authors’ knowledge, no other study has been conducted on this subject.

中文翻译:

了解消费者共享物联网产品数据的动机

院士或从业人员对物联网(IoT)进行的几乎每项研究都着重强调了IoT产品的隐私问题和信息安全问题。相反,本文旨在探讨激励因素,以鼓励物联网产品的客户与第三方聚合器系统共享其物联网产品的数据,以促进计算机生成的产品评论,这些评论被定义为电子事物(eWOT)本文对eWOT的定制电子商务原型进行了实验。进行结构方程模型分析,通过验证性因子分析对测量模型进行检验,然后通过结构模型对潜在变量之间的关系进行检验。本文发现了五个消费者激励因素(个人创新,享受帮助,预期的外部奖励,道德义务和发泄消极情绪)有助于eWOT的意图。这项研究提高了人们对与计算机生成的产品评论的交互作用的了解,并为IoT环境下在线消费者行为的未来研究开辟了途径。,本文介绍了eWOT打算共享IoT产品数据的动机。这是通过基于物联网的实验性原型的新颖概念(即eWOT)完成的。这些eWOT评论可以通过应用分析并使用自然语言生成来从IoT产品数据生成。据作者所知,尚未对此主题进行过其他研究。这项研究提高了人们对与计算机生成的产品评论的交互作用的理解,并为将来在物联网环境下在线消费者行为的研究开辟了道路。本文提出了促使eWOT共享物联网产品数据的动机。这是通过基于物联网的实验性原型的新颖概念(即eWOT)完成的。这些eWOT评论可以通过应用分析并使用自然语言生成来从IoT产品数据生成。据作者所知,尚未对此主题进行过其他研究。这项研究提高了人们对与计算机生成的产品评论的交互作用的理解,并为将来在物联网环境下在线消费者行为的研究开辟了道路。本文提出了促使eWOT共享物联网产品数据的动机。这是通过基于物联网的实验性原型的新颖概念(即eWOT)完成的。这些eWOT评论可以通过应用分析并使用自然语言生成来从IoT产品数据生成。据作者所知,尚未对此主题进行过其他研究。这是通过基于物联网的实验性原型的新颖概念(即eWOT)完成的。这些eWOT评论可以通过应用分析并使用自然语言生成来从IoT产品数据生成。据作者所知,尚未对此主题进行过其他研究。这是通过基于物联网的实验性原型的新颖概念(即eWOT)完成的。这些eWOT评论可以通过应用分析并使用自然语言生成来从IoT产品数据生成。据作者所知,尚未对此主题进行过其他研究。
更新日期:2020-02-05
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