Becoming Tech-savvy: Egyptian Journalists’ Perceptions Towards the Acceptance of Automated Journalism

Research on technology adoption has identified a large number of factors that can affect individuals’ behavioral intentions to use various technologies, and many models have emerged. Venkatesh et al. (MIS Quarterly, 27(3), 425–478: 2003) aimed to develop an integrated model based on the idea that researchers may miss the opportunities offered by alternative models when they choose only one of the existing models. In the synthesis study, Theory of Reasoned Behavior, Technology Acceptance Model, Motivation Model, Theory of Planned Behavior, Unified Model of Technology Acceptance and Planned Behavior, PC Use Model, Diffusion Theory, and Social Cognitive Theory were discussed, their deficiencies and strengths were compared, and the Unified Theory of Acceptance and Use of Technology (UTAUT) was developed. According to UTAUT, using behavior is determined directly by behavioral intention and facilitating conditions, and performance expectation, which determines behavioral intention, is indirectly determined by effort expectancy, social influence, and facilitating conditions variables. In addition, age, gender, experience, and voluntariness of use variables were added as directing variables to the relationships in the model. To make the model more consumer-centric, Venkatesh et al. (MIS Quarterly 36, 157–178: 2012a) added hedonic motivation, price value, and habit variables to the model and removed the voluntariness of use moderator from the model, thus expanding the UTAUT model to UTAUT2. In this chapter, UTAUT, which examines the variables that affect individuals’ technology acceptance and use with a holistic approach, is examined in an educational context. The reader who completes the section will be able to (a) explain the general structure of the model and for what purpose it was developed (b) define the factors in the model and the relationships between factors (c) give an educational example of the acceptance and use of a technology (d) expand the UTAUT and UTAUT2 models in an educational context, formulate hypotheses/problems, collect and analyze data, and (e) discuss and evaluate the results of a study using the UTAUT and UTAUT2 models.KeywordsICT in educationBehaviorAcceptanceTechnology acceptanceUTAUT

The Unified Theory of Acceptance and Use of Technology (UTAUT) has been widely used in research involving adoption and acceptance of technologies. The theory considers factors that influence behavioural intention and use behaviour of technology. The authors of UTAUT combined eight competing theories of technology acceptance including the Diffusion of Innovation theory. Despite the involvement of the characteristics that affect technology adoption from the Diffusion of Innovation theory, the authors of UTAUT did not include the process that technology progresses through to be adopted. This paper argues conceptually that technology adoption processes should be included in UTAUT to better predict technology acceptance and that future information systems research should endeavour to include the environment and process in which technologies are used.

The unified theory of acceptance and use of technology (UTAUT) is a survey instrument used to determine technology usage intention and behaviour. UTAUT consists of four predictor variables; performance expectance, effort expectancy, social influence and facilitating conditions. This study investigates the technology acceptance profiles of university teaching staff, by using the UTAUT predictor variables as clustering variables, in the context of the implementation of a new learning management system (LMS). While students are mostly the focus of research on technology acceptance in higher education, university teaching staff are predominantly overlooked. Using a modified UTAUT questionnaire, 244 university teaching staff from a Belgian university took part in a survey focusing on their acceptance and use of the new LMS. Most studies on LMS acceptance in higher education are variable centred, whereas this research takes a person‐centred approach. This approach will shed new light on how UTAUT can provide information which can be used to interpret the professional development needs during an institution‐wide educational technology implementation. A cluster analysis with the predictor variables of UTAUT as input variables resulted in three distinct groups: a high, moderate and a low scoring cluster. These differences between the clusters were also reflected in the acceptance of the LMS. The results of this study will therefore facilitate decision making and guidelines for the design of institution‐wide professional development initiatives that are targeted towards the needs of specific groups of university teaching staff. Practitioner Notes What is already known about this topic Most research has focused on university students, or on general barriers to technology acceptance. The four core predictors of UTAUT are reliable determinants of intention and attitude, which in turn are direct determinants of use. An alternative to measuring actual use, self‐reported intensity of use, has been found to be a direct determinant of actual use. Previous cluster analyses in connection with technology acceptance have shown that there are meaningful differences between groups of users in the way they accept and use a technology. Clustering gives additional information about technology users that may facilitate follow‐up research or support initiatives designed to suit the needs of the groups. What this paper adds A three‐solution cluster analysis reveals three distinct groups of technology acceptance in university teaching staff: High, moderate and low. High users are most likely to innovate. Moderate and low users most likely need additional support as well as increased social influence from policy and decision makers. Implications for practice and/or policy The professional development support needs of each group can be more easily addressed and targeted separately to suit their specific needs. This is an opportunity for policy and decision makers to revise and optimise policies on LMS use as well as on the supportive initiatives needed to facilitate better and more effective use of the LMS. Innovating will require additional support. While the high usage group is clearly more inclined to use the system more innovatively, the two other groups will require additional resources and social pressure to influence their intentions regarding innovating.

Purpose– The purpose of this paper is to perform a systematic review of articles that have used the unified theory of acceptance and use of technology (UTAUT).Design/methodology/approach– The results produced in this research are based on the literature analysis of 174 existing articles on the UTAUT model. This has been performed by collecting data including demographic details, methodological details, limitations, and significance of relationships between the constructs from the available articles based on the UTAUT.Findings– The findings indicated that general purpose systems and specialized business systems were examined in the majority of the articles using the UTAUT. The analysis also indicated that cross-sectional approach, survey methods, and structural equation modelling analysis techniques were the most explored research methodologies whereas SPSS was found to be the largely used analysis tools. Moreover, the weight analysis of independent variables indicates that variables such as performance expectancy and behavioural intention qualified for the best predictor category. Moreover, the analysis also suggested that single subject or biased sample as the most explored limitation across all studies.Research limitations/implications– The search activities were centered on occurrences of keywords to avoid tracing a large number of publications where these keywords might have been used as casual words in the main text. However, we acknowledge that there may be a number of studies, which lack keywords in the title, but still focus upon UTAUT in some form.Originality/value– This is the first research of its type which has extensively examined the literature on the UTAUT and provided the researchers with the accumulative knowledge about the model.

Purpose This study seeks to improve the understanding of the motivation driving the entrepreneurs of micro, small and medium enterprises (MSMEs) to integrate ICTs and why this process is easier for some. The unified theory of acceptance and use of technology (UTAUT) is a suitable framework for this analysis. Our research aims to establish an explanatory typology based on the optimization of individual perceptions of entrepreneurs and usage intentions which enables identification of those groups that possess a greater intention to use ICTs in their businesses. This sheds light on how these factors influence their information and communication technology (ICT) adoption intentions within their businesses. Design/methodology/approach This study adopts an alternative approach and methodology to contribute new insights into academic discourse regarding the Unified Theory of Acceptance and Use of Technology (UTAUT). Building upon the theoretical foundation of the UTAUT, the present study pioneers the application of Data Envelopment Analysis (DEA) to a dataset encompassing 436 Spanish entrepreneurs. The objective is to examine the combination of diverse UTAUT perceptions that optimise the intention to implement ICTs in their companies while minimising anxiety associated with the adoption of new technologies (the outputs). Based on the results obtained, an explanatory typology is established that combines perceptions and usage intentions. Findings When applied to our group of entrepreneurs, DEA reveals that certain individuals can optimise their intentions with their current perception levels. This discovery has enabled us to create an explanatory typology through an examination of the efficiency of various perception-intention and/or anxiety combinations. Our proposed typology aims to shed light on the debate as to why not all perceptions translate into intentions and why certain entrepreneurs have a greater intention to use ICTs. An investigation of these efficient entrepreneurs reveals a wide range of combinations, which encompasses both those in harmony with effective usage behaviour and those deviating from such behaviour. Research limitations/implications DEA provides a snapshot of efficiency at a specific point in time and does not account for dynamic changes or adjustments over time, and DEA efficiency scores are relative measures that depend on the efficiency of other decision-making units in the dataset. The identification of appropriate benchmark units for comparison can be challenging, especially in heterogeneous datasets and cross-cultural analysis. In this respect, the UTAUT literature is lacking in cross-technology and cross-cultural comparisons. Practical implications Our methodology and results have implications for business management, business accelerators and economic policy. A detailed study of these clusters could reveal potential barriers and obstacles hindering the effective implementation of ICTs in MSMEs, thereby enabling researchers to focus on individuals who do not align with the model. Entrepreneurs classified in the most unfavourable typologies can take steps to enhance their perceptions, while administration and business accelerators can focus their efforts on these entrepreneurs. Originality/value The application of the UTAUT model on individual entrepreneurs receives limited coverage in the existing literature. To the best of our knowledge, this is the first study to utilise a DEA methodology within the framework of the UTAUT model (in contrast to the prevalent use of structural equation modelling in previous studies related to UTAUT). This analysis contributes fresh empirical evidence to the academic discourse on technology adoption models among individual entrepreneurs. Our methodology is a tool that reveals potential barriers and obstacles in individual perceptions that hinder the effective implementation of ICT in certain types of entrepreneurs.

This paper aims to perform a systematic review of articles that have used the unified theory of acceptance and use of technology (UTAUT) from 2019 to 2023. The results in this research are based on the literature analysis of 10 existing articles on the UTAUT model. This has been performed by collecting data including demographic details, methodological details, limitations, and significance of relationships between constructs from the available articles based on the UTAUT. The findings indicated that general-purpose systems and specialized business systems were examined in the majority of the articles using the UTAUT. The analysis also indicated that the cross-sectional approach, survey methods, and structural equation modeling analysis techniques were the most explored research methodologies whereas Smart PLS was found to be the largely used analysis tool. This is the continued research that examined the literature on the UTAUT for the past five years and provided the researchers with accumulative knowledge about the model.

The unified theory of acceptance and use of technology (UTAUT) is a little over a decade old and has been used extensively in information systems (IS) and other fields, as the large number of citations to the original paper that introduced the theory evidences. In this paper, we review and synthesize the IS literature on UTAUT from September 2003 until December 2014, perform a theoretical analysis of UTAUT and its extensions, and chart an agenda for research going forward. Based on Weber’s (2012) framework of theory evaluation, we examined UTAUT and its extensions along two sets of quality dimensions; namely, the parts of a theory and the theory as a whole. While our review identifies many merits to UTAUT, we also found that the progress related to this theory has hampered further theoretical development in research into technology acceptance and use. To chart an agenda for research that will enable significant future work, we analyze the theoretical contributions of UTAUT using Whetten’s (2009) notion of cross-context theorizing. Our analysis reveals several limitations that lead us to propose a multi-level framework that can serve as the theoretical foundation for future research. Specifically, this framework integrates the notion of research context and cross-context theorizing with the theory evaluation framework to: (1) synthesize the existing UTAUT extensions across both the dimensions and the levels of the research context and (2) highlight promising research directions. We conclude with recommendations for future UTAUT-related research using the proposed framework.

The island of Sumatra ranks second after Java in terms of the number of internet banking users, with a total of 62 million customers. The adoption of mobile banking can be determined and predicted by several factors measuring consumer behavior likelihood. This can be achieved through the application of the UTAUT (Unified Theory of Acceptance and Use of Technology) model. The aim of this research is to examine the usage of mobile banking using the UTAUT model, specifically in Sumatra. The research method employed is quantitative, with data obtained from distributing questionnaires to 225 respondents. The analysis of research findings is assisted by the SEM PLS 3.9 tool. The results indicate that Performance Expectancy and Effort Expectancy variables influence Usage Intention, while Social Influence does not affect usage intention. Facilitating Conditions and Usage Intention affect Usage Behavior. However, Age and Experience do not moderate the relationship between Facilitating Conditions and Usage Behavior. Keywords: Mobile Banking, Unified Theory of Acceptance and Use of Technology (UTAUT), Sumatera Island.

E-wallet is an electronic service used as a payment tool in electronic form where the amount of money will be stored in a certain electronic medium. However, there are still problems related to privacy and data security also network access while using e-wallet. The use of e-wallet is expected to increase efficiency and effectiveness in conducting transactions, helping the smoothness of small but frequent mass transactions. The Unified Theory of Acceptance and Use of Technology (UTAUT) analysis is used to predict a person's attitudes and acceptance of the technology used and provide information on what factors can encourage the user's attitudes. The purpose of this study is to analyze the use of e-wallets in transactions on e-commerce using the UTAUT framework and to determine the impact of using E-wallets as a non-cash payment tool for e-commerce using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework on 109 student respondents of Faculty Economics and Business Satya Wacana Christian University using explanatory research through a quantitative approach. The results of this study prove that there are two accepted hypotheses. Only the social influence and facilitating conditions variables have a positive and significant effect on the user's interest in using the ShopeePay service with an interest in transactions on e-commerce.

<p><strong>Theoretical background:</strong> Today, people use more systems and devices than ever, no matter the context. These behaviors are most often explained using technology acceptance models, including the unified theory of acceptance and use of technology 2 (UTAUT2), which is a new and prominent technology acceptance theory.</p><p><strong>Purpose of the article:</strong> The aim of this article is to identify any interpretable trends and draw overall conclusions about the existing UTAUT2 literature, which helps to fill the gap which is lack of such review for UTAUT2 model.</p><p><strong>Research methods:</strong> Descriptive review analysis of 23 articles based on the partial UTAUT2 model.</p><p><strong>Main findings:</strong> The UTAUT2 is an efficient theory – the average explained variance of behavioral intention was 62% and for use behavior – 37%. It is highly recommended to use the performance expectancy variable in all research contexts based on the UTAUT2 model. Utilitarian aspects turned out to be more important than hedonic ones for most technology adopters. Commercial organisations should focus on delivering reliable and useful products and underline these features in marketing communication.</p>

BackgroundBariatric surgery offers an opportunity for physical activity (PA) promotion due to patients’ increased ability to engage in PA. Technology-based PA interventions are promising tools for promoting PA to support patients in this key period. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model is a recognized theoretical model for examining technology acceptability. Although a previous study reported that 92% of women with obesity have high acceptability of at least one technology-based PA intervention, little is known about the factors that lead to different levels of acceptability between technologies and therefore the reasons for choosing a preferred intervention.ObjectiveThe purpose of this study was to (1) characterize the acceptability of 3 technology-based PA interventions (ie, telehealth, active video game, mobile app) in the context of bariatric surgery, and (2) explore patients’ preference motives. This study, using a qualitative design, examined the suitability of the UTAUT2 model in this specific context.MethodsParticipants (n=26) read written French descriptions of the technology-based PA interventions with illustrations and chose their preferred intervention. Semidirective interviews were conducted to explore the reasons for their choice of the preferred intervention, notably using the UTAUT2 framework. Data were analyzed based on inductive and deductive approaches.ResultsAll participants who preferred a technology-based PA intervention (ie, active video game, n=10; mobile app, n=10; telehealth, n=6) expressed a behavioral intention to use it. In addition, some of them expressed a high behavioral intention to use another technology (ie, active video game, n=4; mobile app, n=1; telehealth, n=7). All the constructs of the UTAUT2 emerged during the qualitative interviews and were specified through subcategories. Additional constructs also emerged, especially other motivational factors.ConclusionsThis study showed that, in the context of technology-based PA interventions for postbariatric patients, the UTAUT2 is suitable, although additional motivational factors (which were not considered by the UTAUT2 model) should be considered.

The purpose of this study is to evaluate TAM and UTAUT’s applicability in Korean smartphone users. To accomplish this objective, this study reviews various literatures and is developed a research model based on TAM(Technology Acceptance Model) and UTAUT(Unified Theory of Acceptance and Use of Technology). To examine the research model, we collected data at Jinju area in Korea. We used a structural equation model analysis known as PLS to verify the research hypotheses. The results indicate that TAM and UTAUT are valuable tool for predicting intentions to smartphone usage.

BackgroundMedication management processes in an Oncology setting are complex and difficult to examine in isolation from interrelated processes and contextual factors. This qualitative study aims to evaluate the usability of an Electronic Medication Management System (EMMS) implemented in a specialised oncology unit using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework.MethodsThe study was conducted in a 12-bed outpatient Oncology unit of a major teaching hospital 6 months following implementation of a commercial EMMS. In-depth semi-structured interviews were conducted with doctors, nurses and pharmacists using the system to assess usability. The UTAUT framework was used to analyse the results, which facilitated evaluation of interrelated aspects and provided a structured summary of user experience and usability factors.ResultsDirect cross-comparison between user groups illustrated that doctors and pharmacists were generally satisfied with the facilitating conditions (hardware and training), but had divergent perceptions of performance (automation, standardised protocols and communication and documented) and effort (mental and temporal demand) expectancy. In counterpoint, nurses were generally satisfied across all constructs.Prior experience using an alternative EMMS influenced performance and effort expectancy and was related to early dissatisfaction with the EMMS. Furthermore, whilst not originally designed for the healthcare setting, the flexibility of the UTAUT allowed for translation to the hospital environment.ConclusionNurses demonstrated overall satisfaction with the EMMS, whilst doctors and pharmacists perceived usability problems, particularly related to restricted automaticity and system complexity, which hindered perceived EMMS success. The study demonstrates the feasibility and utility of the UTAUT framework to evaluate usability of an EMMS for multiple user groups in the Oncology setting.

Purpose Few studies have investigated how anxiety operates within the Unified Theory of Acceptance and Use of Technology (UTAUT) Framework. Consequently, this investigation explores the influence of anxiety on the customer adoption of online shopping based on the UTAUT. Design/methodology/approach The UTAUT's framework was extended by proposing new casual pathways between anxiety and its existing constructs (e.g. effort expectancy, performance expectancy and behavioural intentions) within the contingencies of age, gender and experience. The Partial Least Squares (PLS) technique was employed to evaluate the statistical significance of the proposed pathways by analysing 483 sets of self-administrated survey responses. Findings The results indicate that anxiety simultaneously exerts negative direct influences on performance expectancy, effort expectancy and behavioural intention constructs. While the moderating effects of age, gender and experience on the anxiety-intention link were found to be significant, there was no evidence suggesting that they moderate anxiety-performance expectancy and anxiety-effort expectancy relationships. Research limitations/implications The limitations of the current study are inherent in its design and methodology, providing some directions for future research. Originality/value This study contributes to the theory by including anxiety in the UTAUT and applying it to the online shopping context. The evidence about the significance of anxiety, with contingencies regarding age, gender and experience, supplies practical implications for online marketing strategies.

Patients’ intention to use online postings of ED wait times: A modified UTAUT model