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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.

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.

The purpose of this paper is to provide a complete and chronological view of the evolution of the main acceptance and use of technology models, from the 1970s to the present day.

A comparison of partial least squares (linear model) and WarpPLS (non-linear model) has been run for each acceptation of technology model: TRA, TAM0, TAM1, TAM2, TAM3, UTAUT, UTAUT2. The data set collects the information of mobile internet users.

The authors have concluded that UTAUT2 model obtains a better explanation power than the rest of technology acceptance models (TAMs) in the sample of mobile internet users. Furthermore, all models have a better explanation power using non-linear relationships than the traditional linear approach.

The vast majority of research published to date with regard to the Theory of Reasoned Action (TRA), the Technology Acceptance Model (TAM), and the Unified Theory of Acceptance and Use of Technology (UTAUT) are based on structural equation models assuming linear relationships between variables. The originality of this study is that it incorporates non-linear relationships and compares the same models using both approaches.

Many manufacturers are exploring adopting smart technologies in their operations, also referred to as the shift towards “Industry 4.0”. Employees' contribution to high-tech initiatives is key to successful Industry 4.0 technology adoption, but few studies have examined the determinants of employee acceptance. This study, therefore, aims to explore how managers affect employees' acceptance of Industry 4.0 technology, and, in turn, Industry 4.0 technology adoption.

Rooted in the unified theory of acceptance and use of technology model and social exchange theory, this inductive research follows an in-depth comparative case study approach. The two studied Dutch manufacturing firms engaged in the adoption of Industry 4.0 technologies in their primary processes, including cyber-physical systems and augmented reality. A mix of qualitative methods was used, consisting of field visits and 14 semi-structured interviews with managers and frontline employees engaged in Industry 4.0 technology adoption.

The cross-case comparison introduces the manager's need to adopt a transformational leadership style for employees to accept Industry 4.0 technology adoption as an organisational-level factor that extends existing Industry 4.0 technology user acceptance theorising. Secondly, manager's and employee's recognition and serving of their own and others' emotions through emotional intelligence are proposed as an additional individual-level factor impacting employees' acceptance and use of Industry 4.0 technologies.

Synthesising these insights with those from the domain of Organisational Behaviour, propositions were derived from theorising the social aspects of effective Industry 4.0 technology adoption.

The potential of waqf is so great in Indonesia but has not been optimized. This paper aims to offer a model for waqf institutions to adopt financial technology for developing productive and social waqf. The authors cunduct an assesment of the Technology Acceptance Model (TAM3), Unified Theory of Acceptance and Use of Technology (UTAUT2) in seeing to the crowdfunders’ behavior.

This study adopted a structural equation using the partial least square approach to test the hypotheses. Based on purposive sampling, the spread of questionnaires through online surveys throughout Indonesia consists of all islands. A total of 297 respondents collected the questionnaires.

Based on the findings, acceptance models have a positive and significant impact on the behavioral intentions of crowdfunders, while Unified Theory of Acceptance and Use of Technology have no significant effect.

The sample of this study involved potential crowdfunders from all over the islands in Indonesia, but these results cannot be generalized because of limitations in terms of the sampling technique used. However, the results of this study can be used as an illustration of how crowdfunders behave in donating money using financial technology.

The results of this study provide a comprehensive perspective for policymakers, especially the Indonesian Waqf Board as the waqf authority that regulates waqf nazir to improve quality by adopting crowdfunding financial technology in collecting waqf funds. In addition, in terms of implications for the government, this waqf crowdfunding model will reduce spending and increase economic growth.

To the best of the authors’ knowledge, this paper is the first in looking at the waqf crowdfunding in Indonesia by looking at two reliable technology determinant models. Studies on cash waqf in Indonesia are many, but they do not look at the issue of crowdfunding, which has gained more attention recently. This paper aims to fill this gap, and this becomes the novelty.

This study aims to investigate the factors influencing the adoption of online pharmacies in Qatar using the unified theory of acceptance and use of technology-2 (UTAUT-2) framework. Specifically, this study examines the impact of performance expectancy, effort expectancy, social influence, hedonic motivation, habit, technology trust, perceived risk and users’ level of awareness of behavioral intention, which in turn affects the adoption of online pharmacies. Furthermore, this study explores the moderating role of word-of-mouth (WOM) recommendations on the relationship between behavioral intention and online pharmacy adaptation.

This study adopted a descriptive, quantitative approach to investigate the UTAUT-2 model in the context of consumers’ adoption of e-pharmacy in Qatar. Through convenience sampling, 455 responses were collected from regular customers accessing online pharmacy services. The data were analyzed using Smart-PLS 3.2 software to examine the hypothesized relationships.

The results showed that WOM recommendations significantly enhanced the relationship between behavioral intention and adopting online pharmacies in Qatar. This study identified the factors that may hinder or enable the adoption of online pharmacies, including performance expectancy, effort expectancy, social influence, hedonic motivation, habit, technology trust, perceived risk and users’ level of awareness.

This study contributes to the existing literature on technology acceptance by extending the UTAUT-2 model and recognizing three additional variables (perceived risk, technology trust and technology awareness). These need to be investigated against UTAUT-2 variables to detect the significance of their impact on adapting the e-health concept in Qatar. The potential for cultural change to accelerate the adoption of online pharmacies is highlighted. Future research should explore the role of moral and cultural factors in technology adoption.

The results underscore the economic and social significance of e-pharmacy adoption, particularly within the context of a developing country. Considering the positive intentions expressed by individuals toward e-pharmacy, it becomes crucial for managers and decision-makers to make strategic choices to address any challenges that may arise. Policymakers are encouraged to enhance their services and implement various development initiatives to expand e-pharmacy accessibility and availability.

This study builds upon previous research on e-commerce in the pharmaceutical industry and provides a comprehensive understanding of customers in developing countries. Extending the UTAUT-2 model and identifying additional variables contributes to the knowledge of e-health concepts in Qatar. The findings have practical implications for developing strategies to promote online pharmacy adoption in Qatar and other countries.

Although mobile devices are ubiquitous among employees, their awareness and readiness to use mobile technologies for competence development is still not widespread and therefore requires further exploration. The purpose of this study is to propose a conceptual model based on the unified theory of acceptance and use of technology (UTAUT) to explain the determinants that affect employees’ intention to use mobile devices and software for knowledge transfer during the process of knowledge management.

A conceptual model based on the UTAUT with new variables concerning relative usability (RU) and user autonomy (UA) and new connections between the determinants was developed as a result of a subject matter literature review. A structural equation modelling approach was used to validate the model on the basis of data collected via a survey collected from 371 employees from 21 sectors, both public and private.

The UTAUT model extended by new variables like RU and UA explains employee acceptance of mobile technologies for knowledge transfer reasonably well. New proposed variables highlighted that the usability of technology compared to other solutions and user autonomy in the selection and the use of applications have the strongest impact on the employees’ intention to use mobile devices and software for knowledge transfer.

This model explains the 55 per cent behavioral intention of employees to use mobile technologies for knowledge transfer. Even though it is quite high in terms of acceptance theories, some new variables should be explored. Furthermore, study does not verify whether m-learning acceptance for knowledge transfer is sector-specific.

Mobile technologies used for knowledge transfer by employees should allow for high UA through their ability to select solutions that they find convenient, use of preferred platforms, personalize applications and utilize devices and software in various environments. They should not be simplified and should have the same functionality and efficiency of use as alternative solutions like web and desktop applications, even if additional effort to learn them would be required. Mobile technologies that take into account UA and RU support the process of employees capturing, distributing and effectively using knowledge.

The elaborated model provides a valuable solution with practical implications for increasing mobile technologies acceptance for knowledge transfer. The study results contribute both to knowledge management and technology acceptance research fields by introducing two new determinants for the acceptance of technologies in knowledge transfer, such as UA and RU with several additional connections between existing UTAUT variables.

The current study aims to investigate college students' behavioral intentions to adopt e-textbooks for their studies according to well-known theoretical intention-based models.

This paper empirically assesses five theoretical models of technology acceptance, including the theory of planned behavior (TPB), the technology acceptance model (TAM), the decomposed TPB model (DTPB), the combined model of TAM and TPB (C-TAM-TPB), and the unified theory of acceptance and use of technology (UTAUT). The survey methodology and structural equation modeling (SEM) were employed to examine and compare these five models. Moreover, explanatory power, goodness-of-fit indices, and model parsimony were taken into consideration in the model comparisons.

Both TPB and TAM provided less effective but adequate predictive behavioral power. However, TPB appeared to be more parsimonious than TAM and the other models. By focusing on specific beliefs of attitude, social and control influences, DTPB shares many of the same advantages as TPB and TAM, but is less parsimonious. Similarly, C-TAM-TPB, an augmented version of TAM that incorporates social influences and behavioral control, is superior to TPB and TAM in terms of its explanatory power of behavioral intention to use e-textbooks. Overall, however, the results indicated that UTAUT appeared to be the best model in terms of the metrics of parsimonious fit and explanatory power.

Theoretical comparison of different models is important. This is believed to be the first study to present model comparisons by investigating undergraduates' intention to adopt e-textbooks as tools for their on-campus learning in Taiwan.

This study pinpoints the critical factors influencing the acceptance of blockchain technology in supply chain management in the light of the extended unified theory of acceptance and use of technology (UTAUT2) with additional factors personal innovativeness in technology and user's self-efficacy.

The questionnaire-based data was obtained from SC professionals in China (Beijing). The essential factors influencing it are evaluated through structural equation modeling (SEM), using AMOS software.

The empirical findings specify that performance expectancy, facilitating conditions, price value, hedonic motivation, user self-efficacy, and personal innovativeness are positively influencing user satisfaction. User satisfaction has a substantial progressive effect on habit. Furthermore, facilitating conditions, price value, habit, user self-efficacy, personal innovativeness, and user satisfaction have a progressive impact on continued intention to use blockchain technology in supply chain management.

Although numerous studies investigated the influencing factors of blockchain technology adoption in supply chain management, no study examined the determinants of UTAUT2. However, this study not only empirically studied the UTAUT2 model but also extended it with the most influencing elements such as personal innovativeness in technology and user's self-efficacy. Furthermore, this study contributes to the BT-enabled SCM literature by studying the continued use and acceptance, rather than testing behavioral intention and initial adoption which is common in previous studies of BT-enabled SCM. Finally, this study discusses the limitations, future directions, and managerial implications of the results so that supply chain professionals can deliver what supply chain stakeholders require.

Although information and communication technology has become a significant driver for organizational efficiency and effectiveness, there is inadequate empirical research on technology acceptance in the maritime industry especially in developing countries. Literature on how behavior and attitude influence technology acceptance is non-existent. This study therefore aims to augment existing literature on technology acceptance in developing countries with particular emphasis on the maritime industry.

The study extended the unified theory of acceptance and use of technology (UTAUT) model to investigate the factors that affect the acceptance and use of INTTRA: a multi-carrier booking and shipping system designed to facilitate ocean trade worldwide. Responses from 198 subjects, collected through a questionnaire, were analyzed using partial least square structural equation modeling.

The research model confirmed significant influences of performance expectancy, facilitating conditions, anxiety and attitude towards use on users’ intention to use INTTRA. In contrast, social influence, effort expectancy and self-efficacy did not significantly influence intention to use. Although these findings confirm some proposed relationships in the UTAUT model, it contradicted the cultural dimension argument that developing countries with higher degrees of femininity pay less attention to performance and high attention to social influence.

The study contributes to knowledge in the area of information systems and technology acceptance in developing countries. Particularly, it seeks to expand literature on adoption within the maritime industry. The study is limited to the sample used for the study, as it used participants from only one country. However, the findings are not generalized for the entire maritime industry but rather Ghana.

The originality of the study is derived from the provision of literature on adoption within the maritime industry in developing countries. It also provided evidence that challenges existing knowledge on characteristics of countries that exhibits high level of femininity culture as proposed by Hofstede.