Understanding usage of Internet of Things (IOT) systems in China

Xuebing Dong · Yaping Chang · Yawei Wang · Jun Yan

148 citations0/0 files storedInformation Technology and People

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Technology Adoption and User Behaviour Innovative Human-Technology Interaction Technology Use by Older Adults

Abstract

Purpose The purpose of this paper is to answer “Why do Chinese consumers use IOT systems?” and “Do consumers’ cognitive and affect experiences moderate the relationship between psychological perception factors and perceived usefulness?” Design/methodology/approach In-depth interview with consumers and experts had been conducted and then the perceived psychological factors that influence perceived usefulness had been summarized. Based on a survey test of 337 smart home users, this study applies partial least squares technique analysis to test the research model. Findings The research results show that perceived psychological factors (perceived ease of use, perceived intelligence, perceived convenience and perceived privacy risk) have significant effect on the intention and behavior of IOT systems usage through perceived usefulness. Cognitive experience moderates the relationship between perceived ease of use and perceived usefulness, perceived privacy risk and perceived usefulness; affect experience moderates the relationship between perceived ease of use and perceived usefulness. Research limitations/implications The current study mainly tested the antecedents of consumers’ usage of IOT systems, and the outcome of using the system was not investigated. Future research can examine the outcome (e.g. satisfaction, perceived value) by using the expectation-confirmation theory. Originality/value This study provides a useful insight into the key driving factors in consumers’ intention and behavior of using IOT systems. The previous studies over IOT systems have not observed consumers’ perception of IOT systems, but in fact IOT systems are being applied to more and more personal users.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 148 citations exist upstream.

References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 1991The theory of planned behavior 2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 2019Diffusion of Innovations 1 1975Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies

Cited by

2019The Effect of Security, Privacy, Familiarity, and Trust on Users’ Attitudes Toward the Use of the IoT-Based Healthcare: The Mediation Role of Risk Perception 2020Adoption of internet of things (IoT) in the agriculture industry deploying the BRT framework 2018Central or peripheral? Cognition elaboration cues’ effect on users’ continuance intention of mobile health applications in the developing markets 2020A blended learning model with IoT-based technology: effectively used when the COVID-19 pandemic?

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.