Toggle Main Menu Toggle Search

Open Access padlockePrints

Adding 'Things' to the Internet: Exploring the spillover effect of technology acceptance

Lookup NU author(s): Professor Savvas PapagiannidisORCiD, Dr Eleftherios Alamanos

Downloads


Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).


Abstract

The Internet of Things (IoT) describes a promising future in which anyone and anything can be connected at any time and any place. Such connections will make possible a wide range of innovative applications and services. IoT applications can be integrated into the surrounding environment, extending the scope of existing interactions between humans and Internet-based applications. This study aims to explore how the users’ Internet-based predispositions could influence their IoT acceptance and if there is a spillover of psychological outcomes such as affect, values and cognitive thoughts. The hypothesised research framework is tested using structural equation modelling with data collected from 615 Internet users. Results show that the challenge emotions, well-being, and the overall value experienced in Internet usage significantly spill over into the users’ behavioural intention of IoT usage. Also, IoT acceptance significantly leads to increased perceived value and degree of well-being. This study confirmed the spillover effects from one technological paradigm to the subsequent one, indicating that technology acceptance could be conceptualised as interconnected acceptance events as opposed to isolated and separated ones.


Publication metadata

Author(s): Lu Y, Papagiannidis S, Alamanos E

Publication type: Article

Publication status: Published

Journal: Journal of Marketing Management

Year: 2021

Issue: ePub ahead of Print

Online publication date: 17/02/2021

Acceptance date: 05/10/2020

Date deposited: 24/10/2020

ISSN (print): 0267-257X

ISSN (electronic): 1472-1376

Publisher: Routledge

URL: https://doi.org/10.1080/0267257X.2021.1886156

DOI: 10.1080/0267257X.2021.1886156


Altmetrics

Altmetrics provided by Altmetric


Share