Systematic Literature Review on The Evolution of Technology Acceptance and Usage Model used in Consumer Behavioural Study

Author(s):  
Faradewi Bee A. Rahman ◽  
Mohd Hafiz Mohd Hanafiah ◽  
Mohd Salehuddin Mohd Zahari ◽  
Lovelyna Benedict Jipiu
2020 ◽  
Author(s):  
Caterina Bérubé ◽  
Theresa Schachner ◽  
Roman Keller ◽  
Elgar Fleisch ◽  
Florian v. Wangenheim ◽  
...  

BACKGROUND Chronic and mental conditions are increasingly prevalent worldwide. As devices in our everyday lives offer more and more voice-based self-service, voice-based conversational agents (VCAs) have the potential to support the prevention and management of these conditions in a scalable way. VCAs allow for a more natural interaction compared to text-based conversational agents, facilitate input for users who cannot type, allow for routine monitoring and support when in-person healthcare is not possible, and open the doors to voice and speech analysis. The state of the art of VCAs for chronic and mental conditions is, however, unclear. OBJECTIVE This systematic literature review aims to provide a better understanding of state-of-the-art research on VCAs delivering interventions for the prevention and management of chronic and mental conditions. METHODS We conducted a systematic literature review using PubMed Medline, EMBASE, PsycINFO, Scopus, and Web of Science databases. We included primary research that involved the prevention or management of chronic or mental conditions, where the voice was the primary interaction modality of the conversational agent, and where an empirical evaluation of the system in terms of system accuracy and/or in terms of technology acceptance was included. Two independent reviewers conducted screening and data extraction and measured their agreement with Cohen’s kappa. A narrative approach was applied to synthesize the selected records. RESULTS Twelve out of 7’170 articles met the inclusion criteria. The majority of the studies (N=10) were non-experimental, while the remainder (N=2) were quasi-experimental. The VCAs provided behavioral support (N=5), a health monitoring service (N=3), or both (N=4). The VCA services were delivered via smartphone (N=5), tablet (N=2), or smart speakers (N=3). In two cases, no device was specified. Three VCAs targeted cancer, while two VCAs each targeted diabetes and heart failure. The other VCAs targeted hearing-impairment, asthma, Parkinson's disease, dementia and autism, “intellectual disability”, and depression. The majority of the studies (N=7) assessed technology acceptance but only a minority (N=3) used validated instruments. Half of the studies (N=6) reported either performance measures on speech recognition or on the ability of VCA’s to respond to health-related queries. Only a minority of the studies (N=2) reported behavioral measure or a measure of attitudes towards intervention-related health behavior. Moreover, only a minority of studies (N=4) reported controlling for participant’s previous experience with technology. CONCLUSIONS Considering the heterogeneity of the methods and the limited number of studies identified, it seems that research on VCAs for chronic and mental conditions is still in its infancy. Although results in system accuracy and technology acceptance are encouraging, there still is a need to establish evidence on the efficacy of VCAs for the prevention and management of chronic and mental conditions, both in absolute terms and in comparison to standard healthcare.


2021 ◽  
Vol 14 (8) ◽  
pp. 106-132
Author(s):  
Jinal Shah ◽  
Monica Khanna ◽  
Hiren Patel

Massive Open Online Courses (MOOCs) have garnered a lot of attention and interest from academia and industry. The proliferation of MOOC platforms has opened up immense opportunities for fulfilling learner needs and improving the education landscape. It is important to understand the drivers of MOOC adoption to ensure its complete utilization. Research on MOOC adoption, acceptance, usage, and continuance has increased over a period of time. With this regard, the purpose of this study was to review and synthesize the research on MOOC adoption using a structured and domain-based approach in order to understand its state-of-the-art literature. Seventy empirical articles indexed in Scopus or Web of Science were identified and reviewed systematically using the Theories, Context, Characteristics, and Methods (TCCM) framework. Systematic mapping of studies was taken place to determine the year-wise publications, journal quality, citations, widely used theories, the context in terms of MOOC platforms and country of research, characteristics in terms of widely used constructs, and hypothesized relationships. The systematic literature review highlights Technology Acceptance Model is the dominant model applied in the MOOC adoption research. Further research on MOOC adoption is seen majorly in Asian economies with a narrow focus on developed economies. Although several review studies have taken place on MOOC, their focus has been on the quality, pedagogical or user perspective. This study is the first effort in synthesizing the state-of-the-art literature on MOOC adoption. Future avenues of research are suggested in terms of Theories, Context, Characteristics, and Methods to further the theoretical and practical knowledge on MOOC adoption.


2020 ◽  
Vol 11 (4) ◽  
pp. 515-535
Author(s):  
Sunil Nandankar ◽  
Amit Sachan

Purpose Despite the substantial research in the domain of electronic procurement adoption, usage and performance (EP AUP), there is no structured review of these studies and most of the literature is in fragmented form. Therefore, the purpose of this paper is to investigate and synthesize EP AUP research in the past two decades and map key research approaches, prevailing theories and antecedents used by researchers to study EP AUP at the individual user and organizational level. Design/methodology/approach To evaluate and comprehend past and current patterns/themes in the EP AUP research area, a systematic literature review is undertaken. Significant peer-reviewed studies covering three categories – adoption, usage and performance and seven classification criteria are critically reviewed. Findings The findings reveal that most investigators mainly used “technology acceptance model,” “technology–organization–environment” framework and their extensions, demonstrating that “perceived ease of use,” “perceived usefulness,” “trust,” “organizational size,” “organizational readiness” and “behavioral intentions” are the most critical drivers of EP AUP. Research limitations/implications For researchers and practitioners, the review highlights a taxonomy of contextual factors to be considered for successful EP AUP. It further makes suggestions for future research meeting challenges of Industry-4.0. Originality/value To the best of the authors’ knowledge, this is the first systematic literature review undertaken in the field of EP that studies it from three different perspectives. It further builds on the determinants of EP AUP and classifies them in four distinct categories: organizational, individual, information system level and environmental.


2021 ◽  
Vol 2 (1) ◽  
pp. 25-37
Author(s):  
Nazirah Nazir

In the era of globalization today, Green technology acceptance has become a crucial sector not just for the environment, but also for humans and towards the economy. In this paper, the researcher will do the overview of Green Technology Acceptance as overall, means in many areas such as green transportation, green chemistry, green buildings, green procurements and few more. So, for this purpose the researcher choose to use the Scopus database to review on the past published studies on green technology fields. For this purpose, the Qualitative review has been done by the systematic review through the PRISMA Framework (Preferred Reporting Items for Systematic Review and Meta-Analysis). There are around 46 papers that had been selected in finals for this systematic literature review analysis. After follow the PRISMA Model to filter out the paper that suitable for this study, researcher is using the Microsoft Excels to do the descriptive analysis on year base publication, journal base, most cited by, theory utilised and subject areas. Besides that, researcher also focus on the methodology classification that had been use in the past studies. There are three main classifications which is Quantitative, Qualitative and Mixed Methods. There are around 26 paper used quantitative analysis method, 17 papers utilised qualitative method and 3 papers using mixed method. Mostly all this past study not including the latest branches of Green Technology such as green economies, green building and many more. As overall, researcher successfully using the PRISMA model to identified the suitable paper that being used in this papers.


10.2196/25933 ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. e25933
Author(s):  
Caterina Bérubé ◽  
Theresa Schachner ◽  
Roman Keller ◽  
Elgar Fleisch ◽  
Florian v Wangenheim ◽  
...  

Background Chronic and mental health conditions are increasingly prevalent worldwide. As devices in our everyday lives offer more and more voice-based self-service, voice-based conversational agents (VCAs) have the potential to support the prevention and management of these conditions in a scalable manner. However, evidence on VCAs dedicated to the prevention and management of chronic and mental health conditions is unclear. Objective This study provides a better understanding of the current methods used in the evaluation of health interventions for the prevention and management of chronic and mental health conditions delivered through VCAs. Methods We conducted a systematic literature review using PubMed MEDLINE, Embase, PsycINFO, Scopus, and Web of Science databases. We included primary research involving the prevention or management of chronic or mental health conditions through a VCA and reporting an empirical evaluation of the system either in terms of system accuracy, technology acceptance, or both. A total of 2 independent reviewers conducted the screening and data extraction, and agreement between them was measured using Cohen kappa. A narrative approach was used to synthesize the selected records. Results Of 7170 prescreened papers, 12 met the inclusion criteria. All studies were nonexperimental. The VCAs provided behavioral support (n=5), health monitoring services (n=3), or both (n=4). The interventions were delivered via smartphones (n=5), tablets (n=2), or smart speakers (n=3). In 2 cases, no device was specified. A total of 3 VCAs targeted cancer, whereas 2 VCAs targeted diabetes and heart failure. The other VCAs targeted hearing impairment, asthma, Parkinson disease, dementia, autism, intellectual disability, and depression. The majority of the studies (n=7) assessed technology acceptance, but only few studies (n=3) used validated instruments. Half of the studies (n=6) reported either performance measures on speech recognition or on the ability of VCAs to respond to health-related queries. Only a minority of the studies (n=2) reported behavioral measures or a measure of attitudes toward intervention-targeted health behavior. Moreover, only a minority of studies (n=4) reported controlling for participants’ previous experience with technology. Finally, risk bias varied markedly. Conclusions The heterogeneity in the methods, the limited number of studies identified, and the high risk of bias show that research on VCAs for chronic and mental health conditions is still in its infancy. Although the results of system accuracy and technology acceptance are encouraging, there is still a need to establish more conclusive evidence on the efficacy of VCAs for the prevention and management of chronic and mental health conditions, both in absolute terms and in comparison with standard health care.


2020 ◽  
Vol 19 (3) ◽  
pp. 316-335
Author(s):  
Yulia A. Malchenko ◽  

The research dedicated to the digital divide has been on the rise over the last three decades, although the individual level of such a phenomenon remains underexplored. This is in line with the citizen-centric trend noted in the research pertaining to consumer reluctance to adopt digital innovations aimed to improve the quality of life as part of smart city solutions. According to studies, consumer participation in development and modification of smart city solutions, for which a city provides the required access and infrastructure, tends to augment their value for consumers thereby boosting their willingness to accept those smart city solutions. By intertwining these research streams, the article explores the factors determining the individual level of digital divide which relates to consumer adoption of smart city solutions through the bibliometric and systematic literature review analysis. The paper aims to propose the antecedents and factors of consumer adoption of smart city solutions based on Motivation, Opportunity, Ability framework underlying the digital divide phenomenon. The results revealed the factors related to motivation, cognition and competence which are to be considered conjointly rather than step-wise. Due to the multifaceted nature of smart city solutions, motivation is triggered by various factors discussed by behavioural, innovation diffusion and technology acceptance theories. By definition, smart city solutions derive from the extant solutions of urban challenges. Hence, competence is related to the previous experience, whereas cognition and willingness to innovate refer to the intention to adopt novel smart city solutions. Theoretically, the study provides propositions to further empirical research in the consumer smart city solutions adoption field. Managerially, it presents the factors to be considered prior to launching smart city solutions.


2010 ◽  
Vol 52 (5) ◽  
pp. 463-479 ◽  
Author(s):  
Mark Turner ◽  
Barbara Kitchenham ◽  
Pearl Brereton ◽  
Stuart Charters ◽  
David Budgen

2020 ◽  
Vol 5 (2) ◽  
pp. 66-79
Author(s):  
Agus Pamuji

Today, many applications or technologies have been produced by every software developer. However, the success of all there is the decision of each user. Users have two possibilities to accept or reject a technology that is presented. The TAM model has been widely researched and undergone development and changes besides being quite reliable in predicting the level of technology acceptance in all countries in the world. In this study, we will recapitulate all studies on the acceptance of technology in the field of Education that handles online learning. The results showed that there was 51 article review publication were selected through some process of review. The period taken ranges from 2011 to 2020. The main findings show that there are differences in the models, methods, and applications identified. Since the TAM model has two basic variables, namely perceived ease of use and perceived usefulness as a framework for analyzing the make and influence technology acceptance. In this study also provides information about the results of the identification of some of the gaps in current research and also in the future. Therefore, the results of a systematic literature review were able to provide a better understanding of TAM especially in the perspective of education in online learning.


F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 1252
Author(s):  
Hatim M. Dawood ◽  
Chee Yoong Liew ◽  
Teck Chai Lau

The banking and financial sectors have witnessed a significant development recently due to financial technology (FinTech), and it has become an essential part of the financial system. Many factors helped the development of this sector, including the pandemics such as Covid-19, the considerable increasing market value of the FinTech sector worldwide, and new technologies such as blockchain, artificial intelligence, big data, cloud computing and mobile technology. Moreover, changes in consumer's preferences, especially the Z-generation (digital generation). FinTech shifted the traditional business models to mobile platforms characterized by ease of access and swift transactions. Mobile technology became the main backbone for FinTech innovations and acts as a channel to deliver FinTech services that overcome all geographical and timing barriers, thus enhancing financial inclusion. Mobile perceived Trust (MPT), or the trust in using financial business models via mobile technology, is a crucial factor in the FinTech context that has mediation effects on the intention and adoption of different FinTech business models. Unfortunately, few studies have explored MPT mediations on consumers' intention to adopt FinTech innovations using mobile technology. Typically, many studies examined trust/MPT as an independent and unidirectional variable and investigated its effects on behaviour intention without predicting its mediation effects. This study aimed to develop a systematic literature review on MPT mediation in FinTech, focusing on the period from 2016 and 2021, in journals ranked Q1 and Q2, and known-based theories such as the technology acceptance model, the unified theory of acceptance and use of technology, and the mobile technology acceptance model. This study found that only four articles were published in Q1 and Q2 journals. In these articles, the MPT was used as a mediator, and its effects were measured on the intention and adoption of the behaviour.


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