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Article
Publication date: 27 August 2021

Bharat Taneja and Kumkum Bharti

This study aims to examine the research pattern and growth trends of published research on a unified theory of acceptance and use of technology 2 (UTAUT2) from 2012 to…

Abstract

Purpose

This study aims to examine the research pattern and growth trends of published research on a unified theory of acceptance and use of technology 2 (UTAUT2) from 2012 to 2019. The study also examines the research scope of UTAUT2 for future researchers.

Design/methodology/approach

This study has adopted a bibliometric approach followed by a structured literature review analysis to synthesize the research on UTAUT2 since 2012. In total, 163 documents were analyzed for type of studies, theories and frameworks, methodologies, author wise collaboration, organizations that contributed to the body of knowledge in the UTAUT2 research and journals that published studies in this domain. VOSviewer and Tableau were used for the data visualization, whereas TCCM, which means theory (T), context (C), characteristics (C) and methodology (M) framework is used to propose the future research directions.

Findings

The findings reveal research on UTAUT2 is growing. The structured literature analysis of the top 15 cited articles further analyzed the parsimony of new models in detail. In addition, the study highlights the inception by and promoters of UTAUT2 in a separate section. The data for this study was collected by searching the title, abstract and keywords of documents in the Scopus database.

Research limitations/implications

This study is based on research papers, published in the UTAUT2 research area, that have been extracted from the Scopus database by keywords only. Future studies can also perform a meta-analysis of various clusters generated by bibliometric analysis.

Practical implications

This study is useful for practitioners to devise strategies for increasing technology acceptance, adoption and utilization in the times to come.

Originality/value

To the best of the authors’ knowledge, this study is one of the very few and early studies, which examined patterns and growth trends of the UTAUT2 studies with the TCCM framework, to suggest scope for future research studies.

Details

foresight, vol. 24 no. 2
Type: Research Article
ISSN: 1463-6689

Keywords

Article
Publication date: 21 September 2015

Pradeep Kumar Nair, Faizan Ali and Lim Chee Leong

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

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Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Originality/value

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.

Details

Interactive Technology and Smart Education, vol. 12 no. 3
Type: Research Article
ISSN: 1741-5659

Keywords

Article
Publication date: 4 October 2019

Reinhard E. Kunz and James P. Santomier

Notwithstanding the dynamics of digital transformation and its relevance for revenue generation in the entertainment industry, empirical research that focused on consumer…

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Abstract

Purpose

Notwithstanding the dynamics of digital transformation and its relevance for revenue generation in the entertainment industry, empirical research that focused on consumer behavior at the intersection of sport content and media technology acceptance is limited. Virtual reality (VR) is a re-emerging and nowadays commercially available technology that impacts sport consumed through media. The purpose of this paper is to investigate the consumer acceptance of VR technology and highlight the effects of content quality and flow experience as influencing factors of behavioral intention.

Design/methodology/approach

Based on a literature review, the authors constructed and empirically tested a model that extends the unified theory of acceptance and use of technology (UTAUT2) by considering additional antecedent factors. Participants (N=570) in the empirical study viewed sport content via VR technology (Sport VR) and completed a survey before and after viewing. The authors conducted factor analysis and structural equation modeling.

Findings

Three UTAUT2 influencing factors, i.e., performance expectancy, social influence and hedonic motivation, showed significant effects. Furthermore, flow and content quality had positive indirect effects. Thus, the quality of sport content and the state of flow that users experience when immersed in a VR environment are relevant factors that determine the performance expectations of consumers and their Sport VR usage intention.

Originality/value

This empirical study contributes to knowledge on consumer acceptance of a hedonic technology in a sport media context. Moreover, two factors extended the established UTAUT2 model.

Details

Sport, Business and Management: An International Journal, vol. 10 no. 1
Type: Research Article
ISSN: 2042-678X

Keywords

Article
Publication date: 20 November 2017

Muhammad Shoaib Farooq, Maimoona Salam, Norizan Jaafar, Alain Fayolle, Kartinah Ayupp, Mirjana Radovic-Markovic and Ali Sajid

Adoption of latest technological advancements (e.g. lecture capture system) is a hallmark of market-driven private universities. Among many other distinguishing features…

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Abstract

Purpose

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).

Design/methodology/approach

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.

Findings

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.

Practical implications

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.

Originality/value

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.

Article
Publication date: 7 June 2022

Khuram Shahzad, Qingyu Zhang, Muhammad Kaleem Khan, Muhammad Ashfaq and Muhammad Hafeez

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

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

International Journal of Emerging Markets, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-8809

Keywords

Article
Publication date: 18 November 2022

Zhongda Wu and Yunxin Liu

This paper investigated the extent to which the predictive power of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) was robust against cultural…

Abstract

Purpose

This paper investigated the extent to which the predictive power of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) was robust against cultural variations and to what extent its predictive power could be improved by including face-valid individual differences (i.e. perceived risk and personal innovativeness) and cultural factors (i.e. individualism and uncertainty avoidance).

Design/methodology/approach

Data were collected from web surveys of Chinese, American and Belgian mobile Internet users (total n = 1,068).

Findings

The authors found that the UTAUT2 model was less predictive in the country where the adoption of mobile payment service (MPS) is high (i.e. China). In contrast, the UTAUT2 model was more predictive in countries where the adoption of MPS is lower (i.e. the United States and Belgium). The authors did not find additional variance explained by individual differences. Regarding the cultural variables, the authors found that individualism moderated the effect of social influence on behavioral intention to use MPS, such that the effect was more substantial among people with individualistic cultural traits. However, the authors found no moderation effect of uncertainty avoidance.

Originality/value

This research contributes to existing work on technology acceptance by exploring whether it is helpful to introduce individual and cultural factors into the UTAUT2 model when predicting technology adoption in different cultures. This research further examines the moderating role of cultural factors in predicting the adoption of MPS. The authors conclude that the UTAUT2 model is generally robust and appears to capture the predictive of face-valid individual and cultural factors.

Details

International Journal of Bank Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0265-2323

Keywords

Article
Publication date: 31 January 2022

Alhamzah Alnoor, Hadi Al-Abrrow, Hussam Al Halbusi, Khai Wah Khaw, XinYing Chew, Marwa Al-Maatoq and Raed Khamis Alharbi

The internet creates ample opportunities to start a mobile social commerce business. The literature confirms the issue of customer trust for social commerce businesses is…

Abstract

Purpose

The internet creates ample opportunities to start a mobile social commerce business. The literature confirms the issue of customer trust for social commerce businesses is a challenge that must be addressed. Hence, this study aims to examine the antecedents of trust in mobile social commerce by applying linear and non-linear relationships based on partial least squares structural equation modeling and artificial neural network model.

Design/methodology/approach

This study applied a non-linear artificial neural network approach to provide a further understanding of the determinants of trust in mobile social commerce based on a non-linear and non-compensatory model. Besides, a questionnaire was distributed to 340 social commerce customers in Malaysia.

Findings

The conceptual framework for investigating trust in mobile social commerce has various advantages and contributions to predicting consumer behavior. The results of the study showed there is a positive and significant relationship between social support, presence and unified theory of acceptance and use of technology2 (UTAUT2). In addition, UTAUT2 has fully mediated the relationship between social support, presence and trust in social commerce. Finally, the results concluded the relationship between UTAUT2 and trust in social commerce would be stronger when the diffusion of innovation and innovation resistance is high and low, respectively.

Research limitations/implications

The current study provides a novel perspective on how customers can trust social m-commerce to provide real solutions to managers of encouraging e-marketing among consumers.

Practical implications

This paper shows how businesses can develop trust in social m-commerce in Malaysian markets. The findings of this study probably could be extended to other businesses in Asia or other countries. Because trust in social e-commerce has a dynamic role in consumer behavior and intention to purchase.

Originality/value

This study provided a new perspective on mobile social commerce and paid more attention to an investigation of such emerging commerce. The originality of this study is embodied by investigating an integrated model that included different theories that presented new directions of trust in mobile social commerce through social and behavioral determinants.

Details

Competitiveness Review: An International Business Journal , vol. 32 no. 3
Type: Research Article
ISSN: 1059-5422

Keywords

Article
Publication date: 17 December 2021

Samar Rahi

This study attempts to gain insight into what factors influence individual behavior towards the adoption of telemedicine application during coronavirus disease 2019…

Abstract

Purpose

This study attempts to gain insight into what factors influence individual behavior towards the adoption of telemedicine application during coronavirus disease 2019 (COVID-19) pandemic. The research model incorporates two well-known theories namely the extended unified theory of acceptance and use of technology (UTAUT2) and DeLone and McLean information success model to examine individual behavior towards the adoption of telemedicine application.

Design/methodology/approach

The research design of this study is based on quantitative research approach. During research survey, 350 valid responses were received from Pakistani citizens and examined to understand citizen's behavior towards the adoption of telemedicine applications. The research model was empirically tested with the latest statistical approach namely variance-based structural equation modeling (VB-SEM).

Findings

The results of the structural equation modeling have revealed that altogether performance expectancy, social influence, effort expectancy, facilitating condition, habit, hedonic motivation, price values, information quality, system quality and service quality explained 77.9% variance in determining user behavior towards adoption of telemedicine application. The predictive relevance of the research model was found substantial in measuring user behavior to adopt telemedicine applications. The research framework is further extended with moderating role of perceived severity between the relationship of user intention and actual usage behavior. Results confirmed that the positive relationship between intention to adopt telemedicine health application and usage behavior will be stronger when perceived severity is higher.

Practical implications

Theoretically, this study integrates extended UTAUT2 and DeLone and McLean information success model and contributes to e-health literature. Practically, this research suggests that by improving user performance expectancy and effort expectancy, managers and healthcare professionals can boost user confidence towards the adoption of telemedicine applications.

Originality/value

This study is unique as it integrates the extended UTAUT2 with DeLone and McLean information success model and perceived severity to investigate user behavior towards adoption of telemedicine application during COVID-19 pandemic. Additionally, the integration of theories contributes to information system literature in the context of the adoption of telemedicine applications.

Article
Publication date: 10 December 2019

Neeraj Dhiman, Neelika Arora, Nikita Dogra and Anil Gupta

The purpose of this paper is to examine the determinants of user adoption of smartphone fitness apps in context of an emerging economy.

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Abstract

Purpose

The purpose of this paper is to examine the determinants of user adoption of smartphone fitness apps in context of an emerging economy.

Design/methodology/approach

The present study uses the extended unified theory of acceptance and use of technology (UTAUT2) as the base model along with two additional constructs, i.e. self-efficacy and personal innovativeness. The data collection was done through an online survey, wherein a total of 324 valid responses were obtained for the statistical analysis. All the hypothesized relationships were tested through partial least square structural equation modelling (PLS-SEM) using an open source programming language and software environment, i.e. R Software along with plspm-package.

Findings

Significant predictors of smartphone fitness app adoption intention include effort expectancy, social influence, perceived value, habit and personal innovativeness. Further, this study confirms significant relationship between personal innovativeness and habit, self-efficacy and effort expectancy and effort expectancy and performance expectation. This study reveals that personal innovativeness is the strongest predictor of behavioural intention. Contrary to the expectations, factors like performance expectancy, facilitating conditions and hedonic motivation did not influence behavioural intention.

Practical implications

This study gives significant clues to app developers that can drastically influence the adoption of fitness apps. The findings suggest that marketers should focus on users with high personal innovativeness that can further act as role models and significantly influence their social circle. Interestingly, the findings suggest that fitness apps, as compared to other apps, should not emphasize much on the hedonic value of their offerings.

Originality/value

This study is one of the few studies to examine the adoption of smartphone fitness apps in an emerging economy context by using extended version of UTAUT2 model. Further, this study shows how new endogenous and exogenous variables (i.e. self-efficacy and personal innovativeness) contribute to better explanatory power of the UTAUT2 framework.

Details

Journal of Indian Business Research, vol. 12 no. 3
Type: Research Article
ISSN: 1755-4195

Keywords

Article
Publication date: 10 March 2022

Christopher Weilage and Eva Stumpfegger

Most research using extended unified theory of acceptance and use of technology (UTAUT2) and other technology acceptance models (TAM) are quantitative studies. This leaves…

Abstract

Purpose

Most research using extended unified theory of acceptance and use of technology (UTAUT2) and other technology acceptance models (TAM) are quantitative studies. This leaves room for interpretation when they are applied to university lecturers’ acceptance of online teaching because the models were originally created for the consumer perspective. This study aims to bridge this gap by integrating existing (quantitative) research with (qualitative) reasoning.

Design/methodology/approach

This study reflects online and hybrid teaching acceptance by reviewing exemplary existing research using UTAUT2 as the conceptual framework.

Findings

UTAUT2 TAMs use a broad range of criteria that do not immediately agree with university lecturers’ acceptance of online teaching. This study finds that existing research results are inconclusive and attempts to link criteria when suitable. Performance expectancy should not only encompass individual attitudes and skills but also the nature of the subject taught. Social influence is driven by recognition and student evaluations. Hedonic motivation best fits the elsewhere well-researched concept of intrinsic motivation. This study suggests that universities choose their online teaching technology wisely, promote its ease of use and offer training as well as continuous support to lecturers, especially when addressing future uncertainties.

Originality/value

This study explains the implications of using TAMs for research of higher education online teaching. Potential reasons and arguments for the inconclusiveness of the studies reviewed are discussed, and measures for university policy and communication improvement are suggested.

Details

On the Horizon: The International Journal of Learning Futures, vol. 30 no. 2
Type: Research Article
ISSN: 1074-8121

Keywords

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