Dataset on an extended technology acceptance model: A combined application of PLS-SEM and NCA

Nicole Franziska Richter; Sven Hauff; Aleksandar Evgeniev Kolev; Sandra Schubring

doi:10.1016/j.dib.2023.109190

Dataset on an extended technology acceptance model: A combined application of PLS-SEM and NCA

Data Brief. 2023 Apr 29:48:109190. doi: 10.1016/j.dib.2023.109190. eCollection 2023 Jun.

Authors

Nicole Franziska Richter¹, Sven Hauff², Aleksandar Evgeniev Kolev¹, Sandra Schubring³

Affiliations

¹ University of Southern Denmark, Denmark.
² Helmut Schmidt University, Hamburg, Germany.
³ Hamburg University of Technology, Hamburg, Germany.

Abstract

As technology has become indispensable in consumers' daily life and economic growth, understanding how and why consumers decide to accept and use a new technology has become essential to both academic researchers and practice. This article provides a detailed dataset based on a questionnaire that utilizes an extended technology acceptance model (TAM), incorporating the theory of consumer values and the innovation diffusion theory. Data collection was done with an online survey among French consumers, resulting in a sample size of 174. The dataset contains measures on various consumer attitudes and perceptions (e.g., consumption values) that influence intention and behaviors (adoption intention and technology use). This article supplements a published research article by Richter, Schubring, Hauff, Ringle and Sarstedt [1] which provides a detailed guide on how to combine partial least squares structural equation modeling (PLS-SEM) with necessary condition analysis (NCA) and a related illustration in a standard software published by Richter, Hauff, Ringle, Sarstedt, Kolev and Schubring [2].

Keywords: Consumer behavior; E-book reader; French consumer data; Necessary condition analysis (NCA); Partial least squares structural equation modeling (PLS-SEM); Technology acceptance model (TAM).