Unfolding IoT Adoption: A Status Quo Bias Perspective

IF 7.9 3区 管理学 Q1 Computer Science
Marlen Rimbeck, Jutta Stumpf-Wollersheim, Alexander Richter
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Abstract

Internet of Things (IoT) solutions are still far from using their enormous potential, partly because misconceptions lead employees to avoid using IoT solutions and stick to established working routines. To shed light on the non-rational perspective of users, which allows for inference on the emergence of cognitive misconceptions, 489 respondents' perceptions of benefits and costs of IoT solutions were analyzed. Using the perspective of “status quo bias”, the qualitative analysis reveals that the perceptions of experienced and inexperienced users partly overlap on benefits such as the reduction of errors and relief of personnel. However, the perceptions also diverge in part, as inexperienced users consider IoT solutions to be gimmicky, fostering mistrust. In addition, inexperienced users overestimate learning phases for interacting with IoT solutions, leading to loss aversion and consequently to cognitive misperceptions. Hence, the study examines the gap between experienced and inexperienced users as a neglected aspect in IoT adoption. Further, identifying relevant drivers for the implementation of IoT solutions at the individual level helps to extend the hitherto technical view of IoT solutions towards a multi-layer approach that includes a holistic, behavioral perspective.

Abstract Image

物联网应用的发展:现状偏见视角
物联网(IoT)解决方案还远远没有发挥出其巨大潜力,部分原因是错误的认知导致员工避免使用物联网解决方案,并坚持既定的工作常规。为了揭示用户的非理性视角,从而推断认知误区的出现,我们分析了 489 名受访者对物联网解决方案的效益和成本的看法。利用 "现状偏差 "的视角,定性分析显示,有经验和无经验用户对减少错误和减轻人员负担等好处的看法有部分重叠。然而,两者的看法也存在部分分歧,因为缺乏经验的用户认为物联网解决方案是噱头,从而产生了不信任。此外,缺乏经验的用户会高估与物联网解决方案互动的学习阶段,导致损失厌恶,进而产生认知误区。因此,本研究将有经验和无经验用户之间的差距视为物联网应用中被忽视的一个方面。此外,从个人层面确定实施物联网解决方案的相关驱动因素,有助于将迄今为止对物联网解决方案的技术观点扩展为包括整体行为观点在内的多层次方法。
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来源期刊
Business & Information Systems Engineering
Business & Information Systems Engineering 工程技术-计算机:信息系统
CiteScore
11.30
自引率
7.60%
发文量
44
审稿时长
3.0 months
期刊介绍: BISE (Business & Information Systems Engineering) is an international scholarly journal that undergoes double-blind peer review. It publishes scientific research on the effective and efficient design and utilization of information systems by individuals, groups, enterprises, and society to enhance social welfare. Information systems are viewed as socio-technical systems involving tasks, people, and technology. Research in the journal addresses issues in the analysis, design, implementation, and management of information systems.
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