Search results

Adoption of latest technological advancements (e.g. lecture capture system) is a hallmark of market-driven private universities. Among many other distinguishing features, lecture capture system (LCS) is the one which is being offered to enhance the flexibility of learning environment for attracting executive business students. Majority of foreign universities are offering the facility of LCS to their students in offshore campuses established in Malaysia. Yet, very little is known about perception and behaviour of executive business students towards acceptance and use of this facility. Therefore, to bridge the identified gap in academic literature, this study is an effort to explore the causal relationship between existing constructs of extended unified theory of acceptance and use of technology (UTAUT2), personal innovativeness (PI), intention and use behaviour (UB) towards LCS. Moreover, this study is aimed to extend the UTAUT2 by introducing a new variable, namely, PI in the domain of information technology (IT) (PIIT).

SmartPLS-3.2.6 was used for data analysis and all PLS-related calculations. For this purpose, a self-administered questionnaire was designed to collect data regarding acceptance and UB towards LCS. A sample size of 481 responses from executive business students, who were enrolled in offshore campuses of five selected foreign universities in Malaysia, was used for testing the proposed theoretical model.

The results of structural equation modelling (SEM) revealed that, performance expectancy, effort expectancy, social influence, facilitating conditions, price value, hedonic motivation, habit and PIIT have a significant and positive influence on acceptance and use of LCS among executive business students. Unique to this study is that, findings of this study have highlighted PIIT as an important factor that affects intention and UB towards LCS among executive business students.

By validating and extending the UTAUT2, the findings of this study provide a number of practical implications along with a comprehensive, robust and useful framework for universities to successfully implement technological advancements, such as LCS, to enhance overall learning outcomes.

By investigating the factors determining acceptance and use of LCS among executive business students, using a partial least square (PLS)-based SEM approach, this study makes a sizeable theoretical, methodological and contextual contribution to the overall body of knowledge.

This study aims to explain the factors affecting students’ acceptance and usage of a lecture capture system (LCS) – ReWIND – in a Malaysian university based on the extended unified theory of acceptance and use of technology (UTAUT2) model. Technological advances have become an important feature of universities’ plans to improve the flexibility and accessibility in a learning and teaching environment. For private universities, which are market-driven, it is vital to assess if these technologies influence the perceptions and behaviour of their target beneficiaries.

The study is designed using a causal research design to examine the cause–effect relationship between the study variables. The study sample consists of 398 students selected via purposive sampling. Data are collected using a five-point Likert scale covering UTAUT2’s factors and variables featuring ReWIND’s acceptance and usage. Partial least squares-based structural equation modelling is used to analyse the data.

The findings show that performance expectancy, effort expectancy, social influence, facilitating conditions, price–value, hedonic motivation and habit have significant influence on students’ acceptance and usage of ReWIND.

This research examines the factors affecting students’ acceptance and usage of ReWIND in a Malaysian university. The main limitation of this study is that it focuses only on the factors highlighted in the UTAUT2 model.

The results provide a useful framework to the universities for the successful implementation of student-friendly technologies such as ReWIND to enhance their learning experience.

Responding to the need of studies validating the UTAUT2 model in the adoption and use of different technologies, this study contributes to the literature by extending the UTAUT2 into the context of LCS at a private university in a developing country.

The purpose of this paper is to examine the impact of key antecedents of unified theory of acceptance and use of technology model 2 on behavioral intention to accept and use mobile payment systems in National Capital Region, India.

A sample of 267 mobile payment system users in National Capital Region was obtained through an online survey. A partial least squares method was used to find out whether key antecedents of UTAUT2 predict behavioral intention to accept mobile payment systems which further predicts use behavior toward mobile payment systems.

The research substantiates that performance expectancy, effort expectancy, habit and facilitating conditions significantly predict behavioral intention, which in turn significantly predict use behavior to use mobile payment systems. Both social influence and hedonic motivation were weak predictors of behavioral intention.

The research substantiates that performance expectancy, effort expectancy, habit and facilitating conditions significantly predict behavioral intention, which in turn significantly predict use behavior to use mobile payment systems. Both social influence and hedonic motivation were weak predictors of behavioral intention.

The research substantiates that performance expectancy, effort expectancy, habit and facilitating conditions significantly predict behavioral intention, which in turn significantly predict use behavior to use mobile payment systems. Both social influence and hedonic motivation were weak predictors of behavioral intention.

This study aims to assess the adequacy of unified theory of acceptance and use of technology-3 (UTAUT-3) model in understanding academician’s adoption to e-Learning, with intent of getting more academicians to accept e-Learning in the Sri Lankan higher education context. Limited validity of the model in an educational context led to this study. The emergence of internet-based technology has changed the way people live, work and study. Technological platforms such as e-Learning have advanced educational systems by enhancing learner experience while benefiting teachers and educators in many ways.

The study used a deductive approach and quantitative methodology, in which a theoretical model was tested using hypotheses to assess causality between study variables. The simple random sampling was used to collect data using a self-administered questionnaire that was sent via Google Forms to targeted respondents. The final sample consisted of 441 academicians who responded to factors of e-Learning adoption on a seven-point Likert scale. Structured equation modelling was used for data analysis.

It was revealed that performance expectancy, effort expectancy, facilitating conditions, habit and hedonic motivation were significant influences of academician’s adoption to e-Learning. However, social influence and personal innovativeness in IT were not significant predictors of e-Learning.

Due to the scope of the study, the factors that determine e-Learning adoption were limited to UTAUT-3 variables. Additionally, the concept was tested from only an academician’s perspective using quantitative methodology.

The findings are useful to higher education institute (HEI) administration, instructors and teaching assistants, policymakers to design and implement their online strategy as well as to make appropriate decisions in getting e-Learning accepted among a higher number of local HEI academicians. It is recommended for the decision-makers in the HEIs to consider the effect of the above findings in setting plans for higher e-Learning adoption. For instance, staff training catering to specific departmental needs, continuous awareness building, periodic reviewal of e-Learning system, e-Learning champions, introduction of policies and guidelines to encourage trial usage would be useful in this aspect.

Successful use of e-Learning would help HEIs to overcome certain issues that exist in a traditional classroom. e-Learning facilitates education delivery beyond time and space while supporting enhanced performance monitoring and skill development which ultimately improve quality of output and institutional performance.

The study examined the adequacy of UTAUT-3 in understanding the adoptability to e-Learning. Second, it recognised a set of factors that affect the academic staff acceptance of e-Learning in higher education environments. A useful framework is provided to the HEI’s administration to successfully implement e-Learning systems. This study contributes to the growing body of information system literature by examining the validity of UTAUT-3 framework in the use and acceptance of educational technology in a developing country.

The purpose of this paper is to identify the viability of the extended Unified Theory of Acceptance and Use of Technology Model 3 (UTAUT3) model among the teachers especially during COVID-19 towards the use of technology.

An extensive primary survey has been conducted through a well-structured tool under UTAUT3 model. The survey is conducted among 450 teachers from various institutions taken for the study. The data was collected from the Northern India. The data analysis will be done through the SmartPLS software with application of structural equation modelling (SEM).

The results are strong for educators and policy makers. It was found that performance expectancy is positively related to the behavioural intentions among teachers. Teachers consider that usage of technology will boost their job and task performance.

This study has a very strong implications in the field of education in case or replacement of traditional teaching patterns with modern one during pandemic times. It will be effective if teachers would prioritize their work. There will be more effective teaching and learning system in future.

The study validates the constructs of UTAUT3 model in understanding teachers' behaviour and attitude towards technology acceptance. Furthermore, the study invites research from different viewpoint to investigate the role of UTAUT3 model in an individuals' behaviour and attitude towards technology acceptance.

The purpose of the study is to explore the various determinants of virtual communication technology (VCT) adoption among higher educational leaders by applying Unified Theory of Acceptance and Use of Technology 3 (UTAUT3) model. Further, this study ascertains the relationship among the various determinants and measure the effects of these determinants in adoption of VCT by educational leaders.

The study was conducted by using online survey method for data collection from 380 educational leaders of India through a convenience sampling procedure. The structural equation modelling technique was adopted to assess the dimensions of VCT adoption and test the proposed model and hypotheses.

The findings revealed that performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC) and personal innovativeness (PI) have positive and significant effects on intention to use VCT (ITUVCT) and actual use of VCT (AUVCT), i.e. e-leadership communication adoption. Besides this, there is also a significant and positive effect of ITUVCT on actual usage of VCT by the educational leaders.

This study makes its contribution to the literature related to technology adoption recommended in previous research for expanding the contexts through new studies and generalizing the UTAUT3 model, specifically in the teaching–learning and administrative perspectives. The results of the study will be further helpful for the researchers and practitioners to better understand the factors that influence higher educational leaders to adopt VCT.

The authors applied the UTAUT3 model and explored the factors determining the adoption intention of VCT among educational leaders. This study is the first study that adopts UTAUT3 model in Indian educational leaders’ context.

The present paper is an attempt to study Education 4.0 supported by Industry 4.0 tools and techniques. The main purpose of the study is to examine the acceptance and use of one of the internet of things (IoT)-based learning management systems, i.e. videoconferencing application (Google Meet, Microsoft Teams, Zoom, GoToMeeting, WebEx), by academicians of higher education using the unified theory of acceptance and use of technology (UTAUT) model.

The study comprises 218 responses of academicians associated with higher education in the Sultanate of Oman. Descriptive and factor analysis of the collected data are employed using SPSS-26. Further, using Amos-21, the fit and validity indices of the measurement model are computed. Various relationships of the UTAUT structural model along with moderation effects of gender and nationality are tested.

The results suggest that performance expectancy, effort expectancy and social influence significantly predict behavioral intention. In turn, behavioral intention and facilitating conditions also significantly predict the use behavior of academicians for videoconferencing in higher education. Finally, gender moderates two out of four UTAUT relations, but nationality does not moderate any of these relations.

A lot of prior studies investigate several models to use technology-enabled pedagogy from educators' or students' perspectives. There are very limited studies that examine IoT-based learning tools within the UTAUT environment. Additionally, no study is available that considers UTAUT relations for the use of videoconferencing in higher education. Also, in the present study, one more moderator, i.e. nationality, is tested.

This study investigates the determinants of digital census for population and housing census (PHC) program through the lens of performance expectancy, technology readiness, self-efficacy and hedonic motivation for the upliftment of a national data collection exercise and development of human resource management.

A quantitative and qualitative research method was used to survey enumerators' responses from the PHC exercise during the COVID-19 period in Ghana. Based on the four determinants, a conceptual framework was developed consisting of eight proposed hypotheses tested through a structural equation model.

The findings of the study indicate that technological readiness, self-efficacy and hedonic motivation significantly influence behavioural intention to adopt digital technologies for PHC training and data collection. Importantly, the authors identified four key themes relating to digital technologies in PHC – personal enablers, general enablers, inherent affordances (inherent possibilities by the user in relation to what the technology offers in context) and personal inhibitors.

For research, this work systematizes antecedents from diverse research streams and validates their relative impact on government digital transformation for accurate data, thus providing a cohesive theoretical explanation of digital technologies in PHC. Due to the study's infancy in a developing country context, the findings provide a preliminary foundation and constructive insight for a digitalization plan conducive to people’s personality and technological readiness.

The present study attempts to analyze if personal values, namely collectivism, materialism and environment attitude, have an impact on attitude to invest in socially responsible investments (SRIs). Second, it examines the impact of attitude on SRI intention which may further be moderated by religiosity beliefs. Third, the moderated relation is further tested separately for two groups of gender.

The study uses cross-sectional data collected from 534 north Indian retail investors. PLS–SEM has been applied in this study using the latest version of SmartPLS (v. 3.2.9) software to examine the complex model of moderation analysis.

The results of PLS–SEM suggested that collectivism, materialism and environment attitude significantly influenced attitude which further led to SRI intention. The moderating role of religiosity was found to be significant on the attitude–intention relationship. Further, a significantly higher moderation of religiosity was found in females as compared to males.

Besides collectivism, materialism and environmental attitude, there could be other facets of an investor's personality that were not considered in the study. The present research was conducted in India, and Hofstede (1980) calls Indian culture to be collectivistic in nature, where the influence of pro-social and environmental concern on SRI intention is bound to be high; thus, findings need to be tested further at the global level.

Companies and financial institutions can enlarge their investor base for socially responsible products by propagating tailor-made financial products that can keep the personal values of investors intact in addition to providing satisfactory financial returns. Female investors can be encouraged to invest in SRI by promulgating the aspects of morality and ethics in their marketing and promotion strategies; eventually, this will lead to an upsurge in the proportion of female investors in financial markets.

The present study contributes to the growing body of research in the area of sustainable investments. This research has contributed to building and testing a moderation analysis of attitude–intention relationship with respect to SRI by adding investor's religiosity beliefs and his/her gender as moderating variables to better comprehend the relationships under study.

The present study aims to probe into the determinants of mobile wallet adoption by millennials with the assistance of extended technology acceptance model.

The data was collected from the students studying professional courses in leading private universities in the north region of India. Keeping in view of the objective and hypotheses, the Partial Least Square Structural Equation Modeling (PLS -SEM) technique was used to test the proposed model.

The tested model brings into notice the imperative observation, which clearly outlines that there are all significant relationships, which can be observed herein. To explicitly state: perceived ease of use (PEOU) has a significant positive relationship with the perceived usefulness followed by PEOU also shares a significant positive relationship with the behavioral intention, and lastly trust as a variable under study establishes a significant positive relationship with actual use (AU).

Implications for the banking industry are to ensure the safety and privacy (financial information) confidential.

The present study contributes to the literature of mobile wallet in the developing nations.