Description
The purpose of this study is to examine the influence of technology-associated and sociodemographic factors on perceived stress resulting from human interaction with electric vehicle information systems. Referring to the transactional stress model of Lazarus and Folkman (1984), we propose a research model to determine the impact of technical affinity, familiarity with electric vehicles, experience with electric vehicle information systems, age, gender, and education on perceived electric vehicle information systems-related stress. We tested our conceptual model using data from a web-based questionnaire, incorporating responses from 225 participants. Using partial least squares structural equation modeling (PLS-SEM), our results demonstrate that the associations between perceived electric vehicle information systems-related stress and affinity for technology, experience with electric vehicle information systems, and education are negative and significant, while that with age is positive and significant.
Recommended Citation
Kolbe, Lutz; Nastjuk, Ilja; Nastjuk, Ilja; and Trang, Simon, "The Influence of Sociodemographic and Technology-Associated Factors on Stress from Human Interaction with Electric Vehicle Information Systems" (2015). AMCIS 2015 Proceedings. 9.
https://aisel.aisnet.org/amcis2015/AdoptionofIT/GeneralPresentations/9
The Influence of Sociodemographic and Technology-Associated Factors on Stress from Human Interaction with Electric Vehicle Information Systems
The purpose of this study is to examine the influence of technology-associated and sociodemographic factors on perceived stress resulting from human interaction with electric vehicle information systems. Referring to the transactional stress model of Lazarus and Folkman (1984), we propose a research model to determine the impact of technical affinity, familiarity with electric vehicles, experience with electric vehicle information systems, age, gender, and education on perceived electric vehicle information systems-related stress. We tested our conceptual model using data from a web-based questionnaire, incorporating responses from 225 participants. Using partial least squares structural equation modeling (PLS-SEM), our results demonstrate that the associations between perceived electric vehicle information systems-related stress and affinity for technology, experience with electric vehicle information systems, and education are negative and significant, while that with age is positive and significant.