How to raise technology acceptance: user experience characteristics as technology-inherent determinants
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How to raise technology acceptance: user experience characteristics as technology-inherent determinants Lisa Mlekus1 · Dominik Bentler1 Günter W. Maier1
· Agnieszka Paruzel1
· Anna-Lena Kato-Beiderwieden1
·
Published online: 6 August 2020 © The Author(s) 2020
Abstract This paper in the journal “Gruppe. Interaktion. Organisation. (GIO)” presents a study that investigated user experience characteristics as determinants of technology acceptance. Organizations planning to implement new technologies are confronted with the challenge to ensure user acceptance. Barely accepted technologies are used less often, result in lower job satisfaction, and ultimately lead to performance losses. The technology acceptance model (Venkatesh and Bala 2008) incorporates determinants of information technology use. The model’s predictors have a strong focus on interindividual user characteristics (such as computer self-efficacy) and the job context (e.g., voluntariness). Yet, what is lacking in the model, are characteristics of the technology itself that can be used as starting points to design better technologies. To bridge this gap, we introduce the User Experience Technology Acceptance Model, and provide a first test of this model. In our online survey (N = 281), we investigated how technological determinants, more specifically user experience characteristics, affected technology acceptance. Except for two paths of our proposed model, all path coefficients were significant with small to large effect sizes (f2 = 0.02–0.66). User experience predictors resulted in 60.6% of explained variance in perceived ease of use, 38.2% of explained variance in perceived usefulness, and 25.8% of explained variance in behavioral intention. Our results provide mostly support for our extension of the technology acceptance model. The technology-inherent characteristics output quality, perspicuity, dependability, and novelty were significant predictors of technology acceptance. We discuss theoretical and practical implications with the focus on technology designers, change managers, and users.
Keywords Technology acceptance · User experience · Socio-technical systems · Digitalization · Usability
Lisa Mlekus
[email protected] 1
Department of Psychology, Bielefeld University, P.O. Box 100131, 33501 Bielefeld, Germany
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L. Mlekus et al.
Technologieakzeptanz durch User Experience-Merkmale steigern: Eine Erweiterung des Technologieakzeptanzmodells Zusammenfassung Dieser Beitrag in der Zeitschrift „Gruppe. Interaktion. Organisation. (GIO)“ stellt eine Studie vor, in der User Experience-Merkmale als Einflussfaktoren auf Technologieakzeptanz untersucht wurden. Bei der Einführung neuer Technologien sehen sich Unternehmen vor der Herausforderung, dass Benutzer diese akzeptieren. Wenig akzeptierte Technologien werden seltener eingesetzt, stehen in Verbindung mit einer geringeren Arbeitszufriedenheit und wirken sich schlecht auf die Leistung aus. Das Technology Acceptance Model (Venkatesh und Bala 2008) umfasst F
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