Investigating acceptance behavior in software engineering—Theoretical perspectives

Börstler, Jürgen; Ali, Nauman bin; Svensson, Martin; Petersen, Kai

doi:10.1016/j.jss.2022.111592

Cited by 6 publications

(2 citation statements)

References 116 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The review study of Dash et al [ 21 ] argued that firms failed to adopt new technology because of lack of planning for change, poor vision & adoption, and ignoring customer expectations. Börstler et al [ 22 ] claimed that it is a well-known issue that adoption decision are rarely driven by evidence. Thus, the current research is based on Unified Theory of Acceptance and Use of Technology (UTAUT) and Task-Technology Fit.…”

Section: Theoretical Framework and Hypotheses Developmentmentioning

confidence: 99%

“…Dayour et al [ 26 ] argued that technology must be utilized and good fit with the task to support performance. In the same vein, Börstler et al [ 22 ] contended that TTF is closely linked to cognitive fit, suggesting that better performance results from a strong alignment between task and the mental representation of problem solver.…”

Section: Theoretical Framework and Hypotheses Developmentmentioning

confidence: 99%

See 1 more Smart Citation

From theory to practice: An integrated TTF-UTAUT study on electric vehicle adoption behavior

Alwadain,

Fati,

Ali

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

In Industry 4.0, the adoption of new technology has played a major role in the transportation sector, especially in the electric vehicles (EVs) domain. Nevertheless, consumer attitudes towards EVs have been difficult to gauge but researchers have tried to solve this puzzle. The prior literature indicates that individual attitudes and technology factors are vital to understanding users’ adoption of EVs. Thus, the main aim is to meticulously investigate the unexplored realm of EV adoption within nations traditionally reliant on oil, exemplified by Saudia Arabia. By integrating the “task technology fit” (TTF) model and the “unified theory of acceptance and usage of technology” (UTAUT), this research develops and empirically validates the framework. A cross-section survey approach is adopted to collect 273 valid questionnaires from customers through convincing sampling. The empirical findings confirm that the integration of TTF and UTAUT positively promotes users’ adoption of EVs. Surprisingly, the direct effect of TTF on behavioral intentions is insignificant, but UTAUT constructs play a significant role in establishing a significant relationship. Moreover, the UTAUT social influence factor has no impact on the EVs adoption. This groundbreaking research offers a comprehensive and holistic methodology for unravelling the complexities of EV adoption, achieved through the harmonious integration of two well-regarded theoretical frameworks. The nascent of this research lies in the skilful blending of technological and behavioral factors in the transportation sector.

show abstract

Section: Theoretical Framework and Hypotheses Developmentmentioning

confidence: 99%

Section: Theoretical Framework and Hypotheses Developmentmentioning

confidence: 99%