Why Do Users Accept Innovative Technologies? A Critical Review of Models and Theories of Technology Acceptance in The Information System Literature
KeywordTechnology acceptance behaviour
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AbstractEarlier literature illustrates that the selection of the appropriate theoretical model has always prescribed as a crucial task for the research community in the information systems (IS) field. According to the authors' knowledge, there are few articles aims to review IT acceptance theories and models at the individuals' level. Thus, this paper aims to bridge this gap by presenting a critical review of ten of the most influential models/theories that have been employed in predicting and explaining the human acceptance behavior of different technologies at the individuals' level. This paper also provides a summary of their evolution, pointed out the main constructs, strengths, related fields, and criticisms based on a selected published literature appeared in IS research. This review offers a holistic view for future scholars to select appropriate constructs/models owing to their strengths and criticisms as well explanatory or predictive power. This paper concluded that the well-established and comprehensive theoretical model should consider the parsimony in the term of simplifying the model with the least constructs and the highest predictive power, also the ability to integrate the relevant context's factors (e.g., UTAUT2).
CitationAlkhwaldi AFA and Kamala MA (2017) Why Do Users Accept Innovative Technologies? A Critical Review of Models and Theories of Technology Acceptance in The Information System Literature. 4(8): 7962-7971.
Link to publisher’s versionhttp://www.jmest.org/wp-content/uploads/JMESTN42352358.pdf
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Factors influencing user acceptance of public sector big open dataWeerakkody, Vishanth J.P.; Kapoor, K.; Balta, M.E.; Irani, Zahir; Dwivedi, Y.K. (2017)In recent years Government departments and public/private organisations are becoming increasingly transparent with their data to establish the whole new paradigm of big open data. Increasing research interest arises from the claimed usability of big open data in improving public sector reforms, facilitating innovation, improving supplier and distribution networks and creating resilient supply chains that help improve the efficiency of public services. Despite the advantages of big open data for supply chain and operations management, there is severe shortage of empirical analyses in this field, especially with regard to its acceptance. To address this gap, in this paper we use an extended technology acceptance model to empirically examine the factors affecting users’ behavioural intentions towards public sector big open data. We outline the importance of our model for operations and supply chain managers, the limitations of the study, and future research directions.
Psychological Determinants of Consumer Acceptance of Personalised Nutrition in 9 European CountriesPoinhos, R.; van der Lans, I.A.; Rankin, A.; Fischer, A.R.H.; Bunting, B.P.; Kuznesof, S.; Stewart-Knox, Barbara; Frewer, L.J. (2014)Objective: To develop a model of the psychological factors which predict people’s intention to adopt personalised nutrition. Potential determinants of adoption included perceived risk and benefit, perceived self-efficacy, internal locus of control and health commitment. Methods: A questionnaire, developed from exploratory study data and the existing theoretical literature, and including validated psychological scales was administered to N = 9381 participants from 9 European countries (Germany, Greece, Ireland, Poland, Portugal, Spain, the Netherlands, the UK, and Norway). Results: Structural equation modelling indicated that the greater participants’ perceived benefits to be associated with personalised nutrition, the more positive their attitudes were towards personalised nutrition, and the greater their intention to adopt it. Higher levels of nutrition self-efficacy were related to more positive attitudes towards, and a greater expressed intention to adopt, personalised nutrition. Other constructs positively impacting attitudes towards personalised nutrition included more positive perceptions of the efficacy of regulatory control to protect consumers (e.g. in relation to personal data protection), higher self-reported internal health locus of control, and health commitment. Although higher perceived risk had a negative relationship with attitude and an inverse relationship with perceived benefit, its effects on attitude and intention to adopt personalised nutrition was less influential than perceived benefit. The model was stable across the different European countries, suggesting that psychological factors determining adoption of personalised nutrition have generic applicability across different European countries. Conclusion: The results suggest that transparent provision of information about potential benefits, and protection of consumers’ personal data is important for adoption, delivery of public health benefits, and commercialisation of personalised nutrition.
The effects of individual, organizational and environmental factors on the adoptions of e-commerce by SMEs in the Netherlands. An examination of factors influencing managerial beliefs, attitudes and the use of an e-commerce system using the technology acceptance model.Not named; Castricum, Marc C. (University of BradfordSchool of Management, 2015-06-04)Since the 1990s the use of the Internet and electronic commerce (e-commerce) has exploded, yet few SMEs seem to benefit from its potential. The lack of personal involvement and low level of use are an indication that managers still have not committed themselves to e-commerce. Consequently they are not reaping the full benefits first hand. The objectives of the study are to identify key factors and relationships likely to influence e-commerce use by SME managers in the Netherlands and to investigate whether relevant and significant factors can be combined in a new model to predict how SME managers will use new technology. To achieve these objectives, a well-established model of IT usage behaviour, the Technology Acceptance Model (TAM), was used. Building upon TAM, a theoretical research model was developed to investigate a large number of external variables that are possible antecedents of managerial beliefs, attitudes, and the use of IT. E-commerce systems were chosen as the IT tool under review. A cross-sectional field survey was conducted to investigate the theoretical research model. The results are based on the analysis of questionnaire data from 114 managers from Dutch SMEs. Using Structural Equation Modelling (SEM) the results show significant support for external variables, mostly of an individual nature, in the categories of demographics, managerial and IT knowledge, individual characteristics, and company characteristics. Contrary to expectations, two categories - social factors and environmental characteristics - had few or no variables with a significant relationship. This study further presents empirical evidence to suggest a limited number of antecedents under managerial control influencing beliefs, attitudes, and use. A better understanding of the various factors that may impede or increase effective utilization of IT can facilitate the design of organizational or managerial interventions that address these issues. Building on the core TAM model a new model, the e-Tam Model, has been developed based on the results of the theoretical research model. In this model, it is hypothesized that IT usage is directly and indirectly influenced by seven external variables divided into three categories: demographics, personality, and company characteristics. Using the e-Tam Model, effective and increased use of managerial IT tools can be promoted. This will enable managers to have a better use of e-commerce systems leading in turn to better margins and opportunities.