Richter Nicole Franziska, Hauff Sven, Kolev Aleksandar Evgeniev, Schubring Sandra
University of Southern Denmark, Denmark.
Helmut Schmidt University, Hamburg, Germany.
Data Brief. 2023 Apr 29;48:109190. doi: 10.1016/j.dib.2023.109190. eCollection 2023 Jun.
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].
随着技术在消费者日常生活和经济增长中变得不可或缺，了解消费者如何以及为何决定接受和使用新技术，对学术研究人员和实践人员而言都变得至关重要。本文基于一份问卷提供了一个详细的数据集，该问卷采用了扩展技术接受模型（TAM），纳入了消费者价值观理论和创新扩散理论。数据收集通过对法国消费者进行在线调查完成，样本量为174。该数据集包含了对各种影响意图和行为（采用意图和技术使用）的消费者态度和认知（如消费价值观）的测量。本文补充了里希特、舒布林、豪夫、林格尔和萨施泰特[1]发表的一篇研究文章，该文章提供了关于如何将偏最小二乘结构方程模型（PLS-SEM）与必要条件分析（NCA）相结合的详细指南，以及里希特、豪夫、林格尔、萨施泰特、科列夫和舒布林[2]在标准软件中发表的相关示例。
