Articlegold2020

An Internet of Things (IoT) Acceptance Model. Assessing Consumer’s Behavior toward IoT Products and Applications

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Technology Adoption and User Behaviour Consumer Behavior and Marketing Influence Innovative Human-Technology Interaction

Abstract

A common managerial and theoretical concern is to know how individuals perceive Internet of Things (IoT) products and applications and how to accelerate adoption of them. The purpose of the current study is to answer, “What are the factors that define behavioral intention to adopt IoT products and applications among individuals?” An IoT adoption model was developed and tested, incorporating pull factors from two different information impact sources: technical and psychological. This study employs statistical structural equation modeling (SEM) in order to examine the conceptual IoT acceptance model. It is demonstrated that facilitated appropriation, perceived usefulness and perceived ease of use, as mediators, significantly influence consumers’ attitude and behavioral intention towards IoT products and applications. User character, cyber resilience, cognitive instrumentals, social influence and trust, all with different significance rates, exhibited an indirect effect, through the three mediators. The IoT acceptance model (IoTAM) upgrades current knowledge on consumers’ behavioral intention and equips practitioners with the knowledge needed to create successful integrated marketing tactics and communication strategies. It provides a solid base for examining multirooted models for the acceptance of newly formed technologies, as it bridges the discontinuity in migrating from information and communication technologies (ICTs) to IoT adoption studies, causing distortions to societies’ abilities to make informed decisions about IoT adoption and use.

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References

1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies 2003Development of a new resilience scale: The Connor-Davidson Resilience Scale (CD-RISC)2003Trust and TAM in Online Shopping: An Integrated Model1 2008Technology Acceptance Model 3 and a Research Agenda on Interventions 2000Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model 2003Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model 2002Principles and practice in reporting structural equation analyses.

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