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The COVID-19 pandemic renewed the role of digital government for conventional delivery of e-services while creating a paradigm shift for the telecommuting ecosystem. Prior to COVID-19, e-services usage had been slow in least-income countries; hence the need for clarity on whether its usage will be sustained in the post-COVID-19 era. This study sought to develop a model for the continuance usage of e-services after the COVID-19 pandemic. Quantitative data were collected from a South African government, and the designed model was validated using confirmatory factor analysis (CFA) and structural equation modelling (SEM). Results indicated that perceived usefulness (PU) and exerted pressure (EPU) are highly significant antecedents of continuance usage. Theoretically, the model contributes to technology continuance usage. It also affirms the organizational readiness for digital transformation through the use of combined technologies. Future research should focus on conceptual skills such as innovativeness, flexibility, problem-solving, emotional intelligence, and empathy needed for digital transformation.

PurposeDigitalization is becoming the subject of considerable interest in the literature. This is in view of its relevance in addressing social problems and contributing to the development of communities and societies. In the agri-food-industry, digitalization is also expected to contribute significantly to solve several challenges the sector is facing at this moment, such as the increasing food demand and resource use. However, the effects of advanced technologies are less a function of the technologies themselves than of how they are used by people. The study analyses the dominant challenges faced by firms in the agri-food industry in the usage and adoption of digital technology. Also, they show how these challenges impact on the sustainable development of digital technology for firms in the industry and provide avenues for future research.Design/methodology/approachThe authors propose a structured literature review aiming to investigate the following research question: what are the main challenges faced by firms within the agri-food industry in the adoption of smart technologies?FindingsResults illustrate the dominant challenges faced by firms in the agri-food industry in the usage and adoption of digital technology. Also, they show how these challenges impact on the sustainable development of digital technology for firms in the industry and provide avenues for future research.Originality/valueSo far, in the context of digitalization in the agri-food industry, various researchers have analysed different kinds of challenges to the adoption of smart technologies. This work reviews these contributions to create a clear reference framework of the challenges faced by agri-food firms while providing future avenues of research and implications at a policymaking, economic-managerial and socio-environmental level.

The increasing worldwide automobile production and usage adversely impact the environmental, economic, and social well-being. Although the automobile companies are trying to solve this problem by adopting corporate sustainability, there is a gap in the extant literature on sustainable corporate practices that are the most important to empower better sustainability performance. This study highlights the impact of core corporate sustainable practices attributes, government initiative, technology usage, and organizational culture on the sustainable performance of the automobile industry in India. The study proposed six aspects and fifty-three criteria from the literature review. The current article has used survey questionnaires to collect the primary data. The present article also applied the smart-PLS to test the association among the variables. The results indicated that the corporate sustainable practices attributes, technology usage, and organizational culture have a positive and significant linkage with the sustainable performance of the automobile industry. The current article guides the regulators in developing the regulations to improve sustainable organizational performance using sustainable corporate practices.

For today’s societies trying to cope with the current globally increased competition, existence of individuals who can take risks, solve problems and adopt changes an innovation has gained more importance when compared to the past. This situation brings responsibility to educational institutions for increasing the number of innovative individuals and the qualifications of these individuals. Therefore, in the process of designing and developing any kind of in-class activities which will contribute to innovativeness, it is important to determine the technology usage characteristics that can be used to define individuals who have high levels of innovativeness. The purpose of the present study was to determine the variables related to technology which will be used to discriminate between individuals who have high and low levels of innovativeness. In the study, which was carried out using the causal-comparative design, a logistic regression model was formed by using technology-related variables, and which technology-related variables managed to predict high level of innovativeness was tested. In the logistic model, the technology budget (purchases, internet, and phone bills), technology ownership (smart phones, tablets, laptops, personal computers, internet, websites, blogs), technology renewal/update time (smart phones, computers), the number of utilized internet applications and internet usage habits were analyzed as predictors. The study was conducted with 244 university students from different class grades at a state university in Turkey. The results revealed that among the variables examined, only the variables of Internet usage habit, the number of Internet applications used, blog ownership and the money spent on technology use were significant predictors. In addition, the model in which these variables were used was found to classify high and low levels of innovativeness with accuracy of 71%. Implications are discussed.

This study uses the Technology Acceptance Model (TAM) to explore the factors that impact special education teachers’ acceptance and actual use of technology. TAM is used as the foundation for generating the hypothesis and developing the conceptual framework for the study. Twenty-four (n=24) special education teachers in a private school in the United Arab Emirates (UAE) participated in this study by answering an electronic questionnaire that included items related to Perceived Usefulness, Perceived Ease of Use, Attitudes Towards Usage, Behavioural Intention to Use, Access to Technology, Job Relevance, Self-Efficacy, Time, and Actual Usage. Preliminary findings indicate that special education teachers have positive attitudes towards the use of technology. Self-efficacy, time and access to technology were found to significantly impact actual use of technology. The research results provide initial insights on special education teachers attitudes towards using technology in their practice as well as the factors that may facilitate or hinder their actual use. Implications for practice and future research are discussed.

The intensive adoption of ChatGPT by university students for learning has encouraged many scholars to test the variables that impact on their use of such AI in their learning. This study adds to the growing body of studies, especially in relation to the moderating role of students’ gender and their study discipline in their acceptance and usage of ChatGPT in their learning process. This study expanded the Unified Theory of Acceptance and Use of Technology (UTAUT) by integrating gender as well as study disciplines as moderators. The study collected responses from students in Saudi universities with different study disciplines and of different genders. The results of a structural model using Smart PLS showed a significant moderating effect of gender on the relationship between performance expectancy and ChatGPT usage. The results confirmed that the impact of performance expectancy in fostering ChatGPT usage was stronger in male than in female students. Moreover, social influence was shown to significantly affect males more than females in relation to ChatGPT usage. In addition, the findings showed that study discipline significantly moderates the link between social influence and ChatGPT usage. In the same vein, social influence significantly influences ChatGPT use in social sciences more than in applied sciences. Hence, the various implications of the study were discussed.

Using Technology-based simulations that are interesting, easy to use by participants, and shorting the time of technical teachers in bringing the technical materials to be used in learning anywhere and anytime. The technology of simulation learning is the most significant tool of the information age and has increasingly been used in each stage of the education system. The main objective of this study is to enhance students' learning performance depending on using simulation techniques. The participants were three hundred participants participated in this study. Using simulation suggestions for participants' opinions and attitudes were discussed. This paper has been designed to study the development that is happening for the participants of the classroom towards the simulation lab usage in three dimensions which are abilities, practical skills, and knowledge they have. The interaction between these dimensions is the key purpose of this study to merge technology in existing education and introduce simulation technology as an important tool to support new ways of practical studies. A model, that explains the effect of TSU, TAS, and TPU on learning, is generated and tested. Using the AMOS 18 (Analysis of Moment Structures) program, it explains (70%) of TSU TOOLS, (77%) of TPU TECHNOLOGY, and (60 %) of TAS, with good model fit. The findings accept all hypotheses

This study tests the validity of an extended theory of planned behaviour (TPB) to explain teachers' intention to use technology for teaching and learning. Five hundred and ninety two participants completed a survey questionnaire measuring their responses to eight constructs which form an extended TPB. Using structural equation modelling, the results showed that the constructs in the extended TPB were significant in explaining teachers' intention to use technology in their work. Among the constructs in the research model, attitude towards computer use had the largest positive influence on technology usage intention, followed by perceived behavioral control. However, subjective norm had a negative impact on intention. The inclusion of the antecedent variables had also strengthened the ability of the extended TPB model to explain intention. This study contributes to the growing discussions in applying psychological theories to explain behavioral intention in educational contexts.

Purpose While the usage of digital technology can bring many operational improvements for firms, it is unclear whether it can effectively improve firm resilience to deal with supply chain disruptions caused by emergencies such as COVID-19. From a dynamic capability perspective, this study aims to investigate how digital technology usage can improve firm resilience in a rapidly changing and turbulent environment. Design/methodology/approach Based on the survey sample of 237 Chinese firms, the stepwise regression approach was used to examine the proposed research hypotheses. Findings The empirical evidence shows that digital technology usage has a U-shaped effect on firm resilience, and that effect is fully achieved by first affecting market acuity and then promoting resource reconfiguration. Moreover, the authors further found that the U-shaped association between digital technology usage and firm resilience is derived from the U-shaped association between digital technology usage and market acuity. Originality/value This study enriches the resilience literature by revealing the mechanism of digital technology usage’s effects rather than focusing on the role of specific digital technologies. This study also provides guidance for firms to develop effective digital technology usage strategies.

Purpose: This qualitative study was conducted to explore the factors that influence the use of technology in special education classrooms.   Theoritical Framework: Technology is evolving so fast, that we can’t afford to keep up with it. These technological developments give a new leaf to various aspects of life.   Methodology: Respondents were interviewed in three separate sessions and recorded before the thematic analysis was conducted.   Findings: This study shows benefit from the emergence of various gadgets that can make teaching and learning more interesting. Nevertheless, there are still teachers who are unable to use technology efficiently in the classroom, especially for special education. This condition is caused by several factors.   Implications: The findings of this study are expected to provide an initial overview for subsequent researchers to conduct further studies.   Value: Among those affected by this rapid development is the field of education. It can be seen that education is gradually moving according to a fresher and more exciting trend with the application of technology.