Motivating information system engineers’ acceptance of Privacy by Design in China: An extended UTAUT model

Bu, Fei; Wang, Nengmin; Jiang, Bin; Jiang, Qi

doi:10.1016/j.ijinfomgt.2021.102358

Cited by 44 publications

(29 citation statements)

References 90 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, the impact of social influence on behavioral intention is close to zero. The impact of effort expectancy was also not supported in a recent study examining the intention to implement privacy protection ( Bu et al, 2021 ). It has already been shown that effort expectancy has a stronger impact on shopping intention in cases when users have higher levels of technology readiness (Y.-W. Chang and Chen, 2021 ).…”

Section: Discussionmentioning

confidence: 84%

Online shopping adoption during COVID-19 and social isolation: Extending the UTAUT model with herd behavior

Erjavec

Manfreda

2022

Journal of Retailing and Consumer Services

164

View full text Add to dashboard Cite

The COVID-19 pandemic has created a new reality for consumers all around the globe. To cope, users of digital technologies have faced the necessity of adopting and using specific technologies practically overnight. They are doing this under the condition of social isolation, all while facing the fear of catching the disease. The purpose of the paper is to study the way unexpected circumstances cause disruptions in existing theoretical models and their implications for the post-COVID-19 era. Therefore, the paper examines the unified theory of acceptance and use of technology (UTAUT) model under the circumstances of the COVID-19 pandemic and social isolation, and it identifies herd behavior as a possible new mechanism affecting behavioral intention under these unique decision-making circumstances. Behavioral intention toward online shopping was analyzed using data from 420 individuals aged 60 and older who present an increasingly important potential market for electronic commerce and who are particularly affected by COVID-19. The main results show that performance expectancy still has the most important influence on behavioral intention, whereas the impact of social influence was not supported under these conditions. Rather, herd behavior was identified as particularly influential for behavioral intention. Based on the study results, the option to reconsider the social influence factor in the UTAUT model and its possible complementary mechanisms are discussed.

show abstract

Section: Discussionmentioning

confidence: 84%

Online shopping adoption during COVID-19 and social isolation: Extending the UTAUT model with herd behavior

Erjavec

Manfreda

2022

Journal of Retailing and Consumer Services

164

View full text Add to dashboard Cite

show abstract

“…Studies based on UTAUT have found that its ability to explain technology usage behavior is much stronger than the ability of any single model as an extended model of other technology acceptance models ( AbuShanab and Pearson, 2007 ; Im et al, 2011 ; Venkatesh et al, 2011 , 2012 ; Williams et al, 2015 ; Lin et al, 2019 ; Alghazi et al, 2021 ; Andrews et al, 2021 ; Arfi et al, 2021 ; Bu et al, 2021 ). Variables including use performance expectations, ease-of-use expectations, social influences, and facilitating conditions are used to explore behavioral intentions and usage behaviors.…”

Section: Literature Review and Theoretical Backgroundmentioning

confidence: 99%

Using Unified Theory of Acceptance and Use of Technology to Evaluate the Impact of a Mobile Payment App on the Shopping Intention and Usage Behavior of Middle-Aged Customers

et al. 2022

View full text Add to dashboard Cite

This research adopted the unified theory of acceptance and use of technology (UTAUT) to emphasize the use of the PX Pay mobile payment app for PX Mart, the most popular supermarket in Taiwan, and examine the degree of involvement as a moderator. The influence of factors related to PX Mart’s target customer groups on their shopping intentions and usage behaviors were discussed, with subsequent benefits and optimization directions. This study indicated the following results. First, performance expectations, ease-of-use expectations, and social impact enhance consumers’ behavioral intention and behavioral intention significantly influence usage behavior. Second, gender has no significant moderating effect on the proposed model. Third, age has a moderating effect from performance expectations and ease-of-use expectations, social influence on behavioral intention. Fourth, use is more significantly affected by perceived stakeholders for customers over age 50 than for those age 30–39. Fifth, the degree of involvement significantly affects the relationship between behavioral intention and usage behavior in terms of social influence and facilitating conditions effects. Finally, we provided academic and practical implications and make contributions to both the online payment industry and academia.

show abstract

“…This study contends that external factors, such as school fellows, teachers, and parents, significantly impact online learners' WTU. Fourthly, facilitating conditions in UTAUT are objective factors making technology easier (Bu et al, 2021 ). Users who feel objective conditions are easy to meet will exert higher BI (Ayuning Budi et al, 2021 ).…”

Section: Online Chinese Learning (Ocl)-oriented Learning Satisfaction...mentioning

confidence: 99%

Exploration on the Influencing Factors of Overseas Students' Online Chinese Learning Intention During the Epidemic Period

Xiao-yu

2022

Front. Psychol.

View full text Add to dashboard Cite

In the information age, online teaching has become an essential field of educational development. The work aims to analyze the factors influencing learning intention of Overseas Students (OSs) during the Coronavirus Disease 2019 (COVID-19). The work adopts the method of Unified Theory of Acceptance and Use of Technology (UTAUT), and implements the influencing factor model of open source software online Chinese learning (OCL). Specifically, the OSs of five colleges and universities in Fuzhou are taken as the research objects. The data is collected through questionnaire survey (QS) and Spss25.0 to analyze the reliability and validity of the data, and Amos23.0 is used to validate the model. The results present that autonomy and self-discipline have become the necessary factors affecting open source software OCL, and personal interests and hobbies are the main factors affecting open source software OCL. Meantime, perceived interest, self-learning management, effort expectation, community influence, performance expectation, and promotion conditions have a significant positive impact on the willingness to promote Chinese learning, and their influence degree increases in turn. The conclusion can provide a novel online teaching and learning strategy for open source software under the COVID-19 situation.

show abstract

Motivating information system engineers’ acceptance of Privacy by Design in China: An extended UTAUT model

Cited by 44 publications

References 90 publications

Online shopping adoption during COVID-19 and social isolation: Extending the UTAUT model with herd behavior

Online shopping adoption during COVID-19 and social isolation: Extending the UTAUT model with herd behavior

Using Unified Theory of Acceptance and Use of Technology to Evaluate the Impact of a Mobile Payment App on the Shopping Intention and Usage Behavior of Middle-Aged Customers

Exploration on the Influencing Factors of Overseas Students' Online Chinese Learning Intention During the Epidemic Period

Contact Info

Product

Resources

About