Customer perception and acceptance of autonomous delivery vehicles in the State of Kuwait during COVID-19.

COVID-19 is one of the most important dilemmas that took place during the last few years. Logisticians worked hard to present a new mechanism called Autonomous Delivery Vehicles (ADVs) by which they afford help making life easier for people during pandemic while trying to reduce pollution on road as well. This work mainly aimed to explore Unified Theory of Acceptance and Use of Technology (UTAUT2) and the convenience of users - according to gender - to the idea of using Autonomous Delivery Vehicles (ADVs). A survey-based method was applied and presented. It was distributed online where a total of 450 participants had taken part to express their ideas. Structural Equation Modeling (SEM) was used to analyze the data and the results were discussed thoroughly. The model was conducted according to nine hypotheses. Results showed that all of them were supported except hypothesis 7, which is the trust in technology that negatively influenced the perceived risk leading to rejecting the hypothesis that supposes the validity of H7. It was concluded that the perceived risk and behavioral intention relationship were only significant for males while the perceived risk and trust in technology relationship were only significant for females.

Acceptance of e-learning applications by accounting students in an online learning environment at residential universities

Technology acceptance models have been used in the higher education context to understand students' acceptance of various learning technologies. Not only was the use of e-learning technologies heightened during the COVID-19 pandemic, but the shift to predominantly online teaching and learning was abrupt. It has become clear that acceptance of e-learning technology will be crucial for higher education in a post-COVID-19 world. Thus, the purpose of this study was to determine the acceptance of e-learning applications by accounting students at residential universities in South Africa. The Unified Theory of Acceptance and Use of Technology (UTAUT2) was adapted for this study to examine the relevance of its constructs in understanding students' intent to use e-learning applications. Accounting students registered at four South African universities completed an electronic questionnaire (n = 1 864). Structural Equation Modelling using the Partial Least Squares method was used to test the hypothesised relationships. The findings indicate that performance expectancy, social influence, facilitating conditions, and habit have a significant relationship with behavioural intention to use e-learning applications. However, gender, academic performance, and level of study do not have a significant moderating effect on these relationships. The study reported in this paper contributes to technology acceptance research by testing the UTAUT2 model in a cross-institutional context with a larger sample size than used in similar studies. Furthermore, it has practical value for higher education policymakers, institutions, and lecturers in their attempts to adapt to blended and online learning models. © 2022 South African Journal of Accounting Research.

The Determinants of Continuance Intention toward Activity-Based Events Using a Virtual Experience Platform (VEP)

The COVID-19 pandemic compelled traditional in-person events to begin transforming into more innovative and safer experiences by utilizing various virtual experience platforms (VEP). This study explores the salient determinants affecting the self-paced hiking or race event attendees' intention to continue attending the event through the use of VEP based on two robust theories: the expectation–confirmation model (ECM) and the unified theory of acceptance and use of technology (UTAUT2) model. Data were collected from 243 event attendees of a self-paced hiking event in South Korea and analyzed using a PLS-SEM approach. The results of this study demonstrate that performance expectancy had the most significant effect on the event attendees' continuance intention to use VEP, followed by satisfaction, hedonic motivation, and price value. The implications of these findings for event firms and organizations utilizing VEP are discussed. [ FROM AUTHOR]

An acceptance model for sports technologies: the effects of sports motivation, sports type and context-aware characteristics

Purpose>This study explores the drivers behind sports technology use and identifies the need for a new conceptualization of sports technology adoption. To address this issue, the authors create a new construct, “context-awareness,” with four dimensions: tracking, coaching, sharing and gamification.Design/methodology/approach>The paper uses a mixed-method approach, including in-depth interviews and partial least squares structural equation modeling. The proposed model combines technology acceptance frameworks with the Sports Motivation Scale and a novel context-awareness scale. It is empirically tested with a diverse sample of 600 respondents to identify use-intention differences according to sports motivation and sport types.Findings>The paper reveals group differences in sports type (dynamic vs nondynamic) and sports motivation (intrinsic vs extrinsic) regarding sports technology use. It also suggests that perceived technology characteristics mediate the relationship between context-aware features and intention to use.Originality/value>This research introduces a new construct of “context-awareness” into the literature on new technology acceptance. The proposed model combines insights from information systems, sports science, sports marketing and sports medicine to explain the adoption of complex technology.

Acceptance of e-learning applications by accounting students in an online learning environment at residential universities

Technology acceptance models have been used in the higher education context to understand students’ acceptance of various learning technologies. Not only was the use of e-learning technologies heightened during the COVID-19 pandemic, but the shift to predominantly online teaching and learning was abrupt. It has become clear that acceptance of e-learning technology will be crucial for higher education in a post-COVID-19 world. Thus, the purpose of this study was to determine the acceptance of e-learning applications by accounting students at residential universities in South Africa. The Unified Theory of Acceptance and Use of Technology (UTAUT2) was adapted for this study to examine the relevance of its constructs in understanding students’ intent to use e-learning applications. Accounting students registered at four South African universities completed an electronic questionnaire (n = 1 864). Structural Equation Modelling using the Partial Least Squares method was used to test the hypothesised relationships. The findings indicate that performance expectancy, social influence, facilitating conditions, and habit have a significant relationship with behavioural intention to use e-learning applications. However, gender, academic performance, and level of study do not have a significant moderating effect on these relationships. The study reported in this paper contributes to technology acceptance research by testing the UTAUT2 model in a cross-institutional context with a larger sample size than used in similar studies. Furthermore, it has practical value for higher education policymakers, institutions, and lecturers in their attempts to adapt to blended and online learning models. © 2022 South African Journal of Accounting Research.