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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.

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.

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.

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.

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.

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

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.

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.

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.

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

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.

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.

The objective of this study was to analyse the effects of major determinants on VCT adoption intention among higher educational leaders. Also, this study aims to investigate how perceived risk and perceived benefits influence the educational leaders, VCT actual use intention.

The authors used the online survey method to collect the 440 responses through purposive sampling procedure. Structural equation modelling (SEM) technique and Multi Group Analysis procedure were used to test the proposed model and moderating effects.

The findings revealed that all the four determinants (PE, EE, SI and FC) based on UTAUT model have positive and significant effects on intention to use VCT. Besides this there is a significant and positive effect of intention to use VCT on actual usage of VCT by the educational leaders. The moderating effect of perceived risk and perceived benefits on actual usage of virtual communication also found significant.

This paper makes its contribution to the literature related to virtual communication technology adoption by including two moderator variables (perceived risk and benefits) that are expected to affect educational leaders' actual usage of VCT. The results can also help researchers and practitioners better understanding the factors that influence higher educational leaders to adopt VCT.

This study proposed a model incorporating the perceived risk and perceived benefits in the UTAUT model to predict the actual use of VCT. The study endeavours to investigate the moderating effects of perceived risk and perceived benefits between ITUVCT and AUVCT in Indian educational context.

This study aimed to evaluate the factors that determine an individual's decision to adopt human resources (HR) analytics. This study attempts to extend Unified Theory of Acceptance and Use of Technology - 2 (UTAUT2) to identify the lag rate in adoption.

Responses were obtained from 387 HR employees of the Banking Financial Services and Insurance (BFSI) sector in metropolitan cities of India through nonprobabilistic purposive sampling. The analysis was performed through hierarchical regression, structural equation modeling and moderation of resistance to change.

The results suggest that performance expectancy, hedonic motivation and data availability are endorsed by proponents of the intention to adopt HR analytics. In contrast, effort expectancy, social influence, quantitative self-efficacy and habits did not influence behavioral intention (BI). Additionally, the actual use behavior (UB) of HR analytics was determined by BI and facilitating conditions. Furthermore, the moderating effect of resistance to change is explored.

This study makes a significant contribution to the literature on the adoption of HR analytics. By appropriately concentrating on the adoption intention of HR analytics, organizations can intensify healthy employee relationships, thus encouraging the actual usage of HR analytics.

This study formulates a conceptual framework for the adoption of HR analytics that can be used by top management to formulate strategies for the implementation of HR analytics. Moreover, this study aimed to expand UTAUT2, emphasizing the concept of data availability and quantitative self-efficacy and examining the moderating role of resistance to change in the relationship between BI and UB.

The purpose of this study is to empirically investigate the determinants and consequences of psychological reactance in the online shopping context. Leveraging the psychological reactance and self-congruity theories, functional and symbolic discrepancies enhance the psychological reactance toward online shopping. In addition, trustworthiness moderates the impact of online customers attitude ambivalence on their psychological reactance.

The authors conduct an empirical study on online customer cognitive factors. In this research paper, the postpositivism research view is used. The Smart PLS-SEM is used to analyze the data.

The current study findings reveal that self-concept and operational incongruence (i.e. symbolic and functional) are the main factors that lead to psychological reactance and resulting in online shopping hate. Poor website quality and other matters are so significant they create functional incongruence. Moreover, low trustworthiness strengthens psychological reactance in the online shopping hate context.

This study extends the psychological reactance and self-congruence theories to online shopping. Previously, literature has extensively studied the social commerce intention.

Although entrepreneurial behaviour is considered a key element for economic development, yet very less is known about the determinants of factors leading towards entrepreneurial intention and behaviour. In order to bridge this gap, the purpose of this paper is to investigate the role of social support and entrepreneurial skills in determining entrepreneurial behaviour of individuals. Developing on the base of the theory of planned behaviour (TPB), this study investigates the relationship between social support, entrepreneurial skills and entrepreneurial behaviour along with existing constructs of the TPB (i.e. attitude, subjective norms, perceived behavioural control and entrepreneurial intention).

Data was collected from 281 respondents using a simple random sampling method, and the variance-based partial least-squares, structural equation modelling (PLS-SEM) approach was used for testing the proposed conceptual model.

Findings of this study have validated the proposed model, which have an explanatory power of 68.3 per cent. Moreover, findings reveal that social support and entrepreneurial skills have a significant impact on entrepreneurial intention of individuals. However, an unanticipated and non-significant relation between subjective norms and entrepreneurial intention is also found.

Due to the limited scope of this study, a multi-group analysis is not possible, which is considered as a limitation of this study. Moreover, due to time constraints, this study is conducted within a specified time-frame; however, a longitudinal study over a period of three to six years can overcome this limitation.

Findings of this study are expected to have substantial implications for policy makers, future researchers and academicians. Outcomes of this study can help to better understand the cognitive phenomenon of nascent entrepreneurs. Moreover, it is expected that this study can serve as a torch-bearer for policy makers to develop better entrepreneurial development programmes, policies and initiatives for promoting self-employment behaviour.

Findings of this study are a unique step forward and offer new insights towards a better understanding of the determinants of entrepreneurial behaviour. Moreover, this study extends Ajzen’s (1991) TPB in the context of entrepreneurial behaviour. By introducing and investigating the impact of two new variables, i.e. social support and entrepreneurial skills in the TPB and by validating the proposed model with PLS-SEM approach, this study makes a sizeable theoretical, methodological and contextual contribution in the overall body of knowledge.

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 study is to evaluate eTourism technology acceptance literature to illustrate current gaps in the field and suggest two alternative perspectives that could be adopted.

A review of academic literature in the field of eTourism technology acceptance was undertaken combining a systematic keyword-based search and snowballing techniques leading to the identification of relevant academic journal articles published since the year 2000.

While the field of eTourism technology acceptance research has grown substantially over the past few decades, this study highlights that the majority of this research seems to have been conducted within a narrow theoretical scope. The study suggests that this has led to contemporary theoretical and philosophical advancements in understanding the psychological, sociological and neuroscientific aspects of consumer behaviour not yet being mirrored in the eTourism technology acceptance research.

This study invites researchers to adapt alternative theoretical perspectives to create a more in-depth understanding of aspects of technology acceptance behaviour that have yet to be understood. Two distinct alternative perspectives, NeuroIS and interpretivism, are suggested.

This study assists researchers in developing alternative research agendas and diversifying the theoretical foundations of eTourism technology acceptance research.

eTourism technology acceptance research risks being left behind if it does not begin to think beyond current theoretical conceptions of consumer behaviour research. This study contributes to the wider literature by highlighting how eTourism literature is falling behind and by suggesting two innovative alternatives that allow eTourism research an exciting way forward.

本论文旨在审视eTourism技术接受研究文献, 以指出当前文献的不足, 并且提出两个未来可能研究方向。

研究样本为关于eTourism技术接受研究的文献, 文献搜集方法采用系统关键词搜索和雪球搜索技术, 共74篇相关研究文献, 发表年代为2000年至今。

eTourism技术接受研究自过去几十年的发展, 其研究成果已经显著增长。本论文强调这方面研究大多数局限在一个狭小理论领域中。本论文建议此方面的研究可以扩展到心理学 社会学 神经科学等消费者行为的领域,提高eTourism技术接受研究的现代理论和哲学进步,而这些方面在eTourism技术接受研究领域中, 还未涉足。

本论文邀请学者采用其他理论角度来增强技术接受行为的深入理解。两个显著研究方向包括NeuroIS和解释主义。

本论文启示学者在eTourism技术接受研究方面的开发新的研究征程, 以及丰富其相关理论基础。

eTourism技术接受研究将被落下, 如果学者不扩展当前关于消费者行为方面的理论基础。本论文拓宽了对eTourism文献的论述, 并且就其如何可能研究落后以及建议两个创新性方向, 使得eTourism研究将有一个崭新前进。

技术接受、电子旅游、技术接受模型(TAM)、神经资讯系统(NeuroIS)、 神经科学旅游(Neurotourism)、解释主义