Article2015

Towards a New Personal Information Technology Acceptance Model: Conceptualization and Empirical Evidence from a Bring Your Own Device Dataset

34 citations0/0 files storedJournal of the Association for Information Systems

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Technology Adoption and User Behaviour Information Technology Governance and Strategy Information Systems Theories and Implementation

Abstract

By considering recent findings from cognitive dual process theories, I propose a new technology acceptance model for situations in which IT is used everyday. The so-called "Personal Information Technology Acceptance Model" (PITAM) will be applied to the IT-consumerization area and it will be evaluated by a Bring Your Own Device (BYOD) dataset from 171 working professionals aged from 18 to 68 years. As a result I found empirical evidence for the speculation that BYOD user behavior is primarily driven by Perceived Enjoyment as a System 1 IS construct and System 2 IS constructs such as Perceived Usefulness are results of post hoc constructions/justifications of (intended) BYOD usage.

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References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 2003User Acceptance of Information Technology: Toward A Unified View1 2011PLS-SEM: Indeed a Silver Bullet 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 2011Thinking, Fast and Slow 1970Back-Translation for Cross-Cultural Research 2014A primer on partial least squares structural equation modeling (PLS-SEM)

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2016Getting a Job via Career-Oriented Social Networking Sites: The Weakness of Ties 2017Getting a job via career-oriented social networking markets 2018The Effect of Bring Your Own Device (BYOD) Adoption on Work Performance and Motivation 2023Effects of interactivity affordance on user stickiness in livestream shopping：identification and gratification as mediators 2020The Impact of Trust in Consumer Protection on Internet Shopping Behavior: An Empirical Study using a Large Official Dataset from the European Union

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