326 research outputs found

    Adopting An Extended UTAUT2 To Predict Consumer Adoption Of M-Technologies In Saudi Arabia

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    Mobile Data Services (MDS) such as the Mobile Internet and Mobile Government influence various life aspects in the Kingdom of Saudi Arabia (KSA); yet, few empirical studies have been considered in order to expand these applications in the KSA context. This study targets and then analyses the existing knowledge in M-Internet and M-Government fields, then the study will provide future suggestions for adopting factors that will radically increase the use of the aforementioned services. Through detecting the most relevant 57 empirical studies out of 287 relevant researches, various relations are impeded in different IT models and they have been examined in order to investigate theoretical gaps that may require further research. The author’s research shows that adopting an extended model of UTAUT2 with two new variables, i.e. Risk and Trust will arouse and substantially spread M-Internet and M-Government. Moreover, this paper will assert on the importance of the interrelationship among the main variables of UTAUT2, i.e. the influence of Effort Expectancy (EE) over Performance Expectancy (PE)

    Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model

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    YesMobile banking is one of the most promising technologies that has emerged in recent years and could prove to have considerable value to both banks and customers. Thus, this study recognises the need to test the main factors that could predict the use of mobile banking as well as how using such a system could contribute to both customer satisfaction and customer loyalty. The conceptual model of this study combines two models (i.e. UTAUT2 and the D&M IS Success Model). A questionnaire survey was conducted to collect the required data from convenience sampling of Saudi bank customers. The main factors – performance expectancy, price value, facilitating conditions, hedonic motivation, habit, system quality and service quality – were found to have a significant impact on actual use behaviour. This study was cross-sectional, therefore future studies should implement longitudinal studies in order to re-collect the findings. Further, this study adopted convenience sampling of Saudi M-Banking users. This may adversely impact the issue of generalisability to the whole population. The gap in the M-Banking literature in Saudi Arabia would be bridged by proposing a comprehensive conceptual model that scrupulously clarifies the use of M-Banking from the perspective of Saudi users. Furthermore, this study would consider the adoption of numeric data in order to inferentially analyse them using SEM. This in turn would assist in generalising the findings to the whole Saudi population

    Examining the Determinants of Mobile Accounting App Acceptance Among Saudi Wholesalers: An Empirical Investigation Using the UTAUT2

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    Purpose: This research aims to identify the determinants of Mobile App Acceptance (MAA) intention and usage within the Saudi wholesaling sector.   Theoretical Framework: Drawing upon the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), this study examines the factors that influence the acceptance and utilization of mobile apps among Saudi wholesalers.   Design/Methodology/Approach: The study employs a structured approach, analyzing data gathered from Saudi wholesalers. The research integrates the UTAUT2 model with an additional construct, trust, and employs Structural Equation Modelling (SEM) to test the hypothesized relationships.   Findings: The research results highlight the significance of various factors in shaping the behavioral intention towards MAA. Performance expectancy, effort expectancy, hedonic motivation, and trust play pivotal roles in influencing users' attitudes toward MAA. Furthermore, behavioral intention and facilitating conditions emerge as key predictors of MAA acceptance.   Research, Practical & Social implications: The findings contribute to both academic research and practical applications. MAA providers can leverage these insights to enhance user experience and build trust, thereby encouraging higher adoption rates. Additionally, the study provides valuable insights for the Saudi wholesaling sector to effectively incorporate MAA into their operations. &nbsp

    Saudi Citizens’ Perceptions on Mobile Government (mGov) Adoption Factors

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    The Saudi government has recently paid serious attention towards utilising mobile technology in order to deliver government services electronically to its citizens. This study attempts to explore citizens’ (potential users) perceptions on a number of factors that may be important for encouraging the widespread adoption of mobile government (mGov) services in the context of Saudi Arabia. The factors descriptively explored in this research include: perceived risk, innovativeness; performance expectancy, effort expectancy, social influence, facilitating conditions, perceived value, hedonic motivation and behavioural intension. The survey data utilised in this research was collected through a self-administered questionnaire to 600 participants (with a response rate of 66%) within a convenience sample. The results obtained through a descriptive analysis demonstrated that the aforementioned factors are perceived as important by Saudi citizens and they have strong behavioural intention to adopt mGov services

    Acceptance and Use of Mobile Technologies in Learning and Teaching of EFL: An Economic Perspective

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    [EN] The use and integration of mobile information and communication technologies (ICTs) in learning and teaching, as well as the creation of new knowledge can determine whether a country is able to successfully compete in the emerging global knowledge economy. Technology acceptance theories and models have been widely developed, used and extended to determine the factors related to the acceptance of such technologies in specific national and subject contexts. This study set out to explore the key factors that determine students’ and instructors’ use behaviour and behavioural intentions to use mobile technologies in learning and teaching EFL, in an effort to determine the readiness and acceptance of mobile learning and teaching among students and instructors at a higher education institution in Saudi Arabia. The extended Unified Theory of Acceptance and Use of Technology (UTAUT2), was used as the framework for this study. This model takes into account several perspectives; and was designed to assess technology acceptance beyond the organizational context by embedding consumer context dimensions. The results indicated that the research model was partially confirmed and highlighted key variables as the driving forces of use behaviour and behavioural intention to use mobile technologies in learning and teaching EFL.Almarwani, M. (2020). Acceptance and Use of Mobile Technologies in Learning and Teaching of EFL: An Economic Perspective. The EuroCALL Review. 28(2):39-49. https://doi.org/10.4995/eurocall.2020.12388OJS3949282AlFahad, F. N. (2009). Students' Attitudes and Perceptions towards the Effectiveness of Mobile Learning in King Saud University, Saudi Arabia. Turkish Online Journal of Educational Technology, 8(2) 111-119.Al-Gahtani, S. S., Hubona, G. S., & Wang, J. (2007). Information Technology (IT) in Saudi Arabia: Culture and the Acceptance and Use of IT. Information & Management, 44(8) 681-691. https://doi.org/10.1016/j.im.2007.09.002British Council. (2013). The English Effect: The Impact of English, What it's Worth to the UK and Why it Matters to the World. UK: British Council. Available from: http://www.britishcouncil.org/sites/britishcouncil.uk2/files/english-effect-report.pdfCorbeil, J. R. & M. E. Valdes-Corbeil (2007). Are you Ready for Mobile Learning? Educause Quarterly, 30(2) 51-58.Hsu, L. (2013). English as a Foreign Language Learners' Perception of Mobile Assisted Language Learning: A Cross-national Study. Computer Assisted Language Learning, 26(3), 197-213. https://doi.org/10.1080/09588221.2011.649485Kukulska-Hulme, A. (2007). Mobile Usability in Educational Contexts: What Have We Learnt? The International Review of Research in Open and Distance Learning, 8, 1-16. https://doi.org/10.19173/irrodl.v8i2.356Kukulska-Hulme, A. (2009). Will Mobile Learning Change Language Learning? ReCALL, 21(2) 157-165. https://doi.org/10.1017/S0958344009000202Kukulska-Hulme, A. (2012). Language Learning Defined by Time and Place: A Framework for Next Generation Designs. In: Díaz-Vera, Javier E. (ed.) Left to my Own Devices: Learner Autonomy and Mobile Assisted Language Learning. Bingley, UK: Emerald Group Publishing Limited, 1-13.Mason, R. (2006). The University: Current Challenges and Opportunities. In: Susan D'Antoni (ed.) The Virtual University: Models & Messages-Lessons from Case Studies, Paris: UNESCO, International Institute for Educational Planning, 49-69.Einstein, A. (1916). General Theory of Relativity. Annalen der Physik 49(7), pp. 769-822. https://doi.org/10.1002/andp.19163540702O'Neill, G. T. (2014). Just a Natural Move towards English: Gulf Youth Attitudes towards Arabic and English literacy. Learning and Teaching in Higher Education: Gulf Perspectives, 11(1) 1-21. https://doi.org/10.18538/lthe.v11.n1.160Pemberton, L., Winter, M., & Fallahkhair, S. (2010). Collaborative Mobile Knowledge Sharing for Language Learners. Journal of the Research Centre for Educational Technology, 6(1) 144-148.Rogers, Y., Connelly, K., Hazlewood, W., & Tedesco, L. (2010). Enhancing Learning: a Study of How Mobile Devices Can Facilitate Sensemaking. Personal and Ubiquitous Computing, 14(2) 111-124. https://doi.org/10.1007/s00779-009-0250-7Taj, I. H., Sulan, N. B., Sipra, M. A., & Ahmad, W. (2016). Impact of Mobile Assisted Language Learning (MALL) on EFL: A Meta-Analysis. Advances in Language and Literary Studies, 7(2), 76-83. https://doi.org/10.7575/aiac.alls.v.7n.2p.76Traxler, J. (2007). Defining, Discussing and Evaluating Mobile Learning: The Moving Finger Writes and Having Writ. The International Review of Research in Open and Distance Learning, 8(2) 1-12. https://doi.org/10.19173/irrodl.v8i2.346Traxler, J. (2010). Sustaining Mobile Learning and its Institutions. International Journal of Mobile and Blended Learning, 2(4) 58-65. https://doi.org/10.4018/jmbl.2010100105Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: toward a Unified View. MIS Quarterly, 27(3) 425-478. https://doi.org/10.2307/30036540Venkatesh, B., Nargundkar, R., Sayed, F. K., & Shahaida, P. (2006). Assessing Indian Students' Perceptions towards M-learning Some Initial Conclusions. International Journal of Mobile Marketing, 1(2) 75-79.Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1) 157-178. https://doi.org/10.2307/4141041

    How religion influences the use of social media : the impact of the online user’s religiosity on perceived online privacy and the use of technology in Saudi Arabia.

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    Religion has a significant effect on people’s lives. It impacts human behaviour, thoughts, morale standards, attitudes and values. The literature shows that religiosity has an effect also on consumer behaviour. However, the concept of religiosity has been under-researched due to the sensitivity of religion (Swimberghe, Flurry, & Parker, 2011). According to Vitell (2009) there is still a need to develop a vigorous theoretical understanding of the impact of religiosity on the consumer behaviour. This thesis contributes to that knowledge by developing a model to explain the effect of the religiosity of the online user on their use of social media. Current research does not fully explain the specifics of religious influences on online user behaviours. This thesis main goal is to build a model that can measure the effect of intrinsic religiosity on the use of social media. The proposed model uses the unified theory of acceptance and use of technology (UTAUT2) along with Privacy concern to measure the effect of religiosity on the use of social media. This thesis empirically tests the proposed model linking religiosity, privacy concerns, technology acceptance and the use of social media. Allport and Ross' (1967) religious orientation scale (ROS) is used to measure the intrinsic religiosity. Xu et al's., (2011a) model of privacy concern is used to measure privacy concerns when using social media. Venkatesh, Thong and Xu's (2012) unified theory of acceptance and use of technology (UTAUT2) is used to measure the user acceptance of social media. Using partial least square structural equation modelling, intrinsic religiosity (ROS), and privacy concerns along with technology acceptance are shown to influence the use of social media. The results show that religion has an indirect effect on the use of social media through privacy concerns and technology acceptance. The results also show that the model can predict the effect of intrinsic religiosity on the use of social media to share and disclose information. The implications from this study are significant both for policy and practice for social media companies as well as users. Information from this study will help social media companies to maximize users’ involvement with social media. It will also benefit the industry and the literature by providing a sound model that can measure the impact of religion on the behaviour of users

    Mobile Adoption in the Arab Countries: A Conceptual Framework

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    There is limited research studying mobile phone adoption by actual consumers in the Arab countries, although the region had an incredible growth in mobile usage between the years 2000 and 2014. The main aim of this paper is to develop a conceptual framework that can explain mobile adoption by customers in the Arab countries. An extensive analysis of the existing literature related to technology adoption in general as well as mobile adoption in the Arab countries was conducted. Accordingly, this paper proposes a new conceptual model based on some modifications of the Unified Theory of Acceptance and Use of Technology (UTAUT2) and adding new variables which were also found related to the studied phenomenon. This research provides several important implications for researchers willing to study mobile adoption in the Arab countries as well as telecommunication companies operating or willing to operate in the region. Consequently, this model is set forward based on future empirical validation of it in Arab countries

    Consumer adoption of new technologies : the role of perceived risk

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    Driven by perceived Internet technology advantage and significant market potential, this study focuses on the impacts of Perceived Risk and Trust Belief on Behavioural Intention to use hotel e-booking services in Saudi Arabia. The study employs the UTAUT2 (Unified Theory of Acceptance and Use of Technology ІІ). The objective is to establish and assess a new model that can be used to determine the various elements, which impact usage behaviour among customers of hotel e-booking services. This study places special emphasis on the unique role of trust belief, and the perception of risk.The data were collected from a cross-sectional survey of 465 respondents. Partial Least Squares-Structured Equation Modelling (PLS-SEM) was employed in analysing the data. Our study adds to the current literature by proposing new variables linking ‘Perceived Risk’ and ‘Trust Belief’ to the UTAUT2. Furthermore, this study provides a response to appeals for further examination and use of aspects, which enlarge the tools, and usage of UTAUT2. The research model represents a pioneering study integrating perceived risk from consumer adoption of new technology literature, employing the UTAUT2 model to assist in initiating the integration of multi-disciplinary research in electronic marketing. In this research, Trust Belief (TR) was hypothesized, for first time, as a mediator that mediates the influence of Perceived Risk (PR) toward Behavioural Intention (BI). It was found that trust belief completely mediates the negative relationship between perceived risk and behavioural intention.Within the context of electronic booking in the hospitality industry in Saudi Arabia, this research provides the first attempt in which the UTAUT2 model is employed to identify the various factors that impact a consumer’s choice to embrace and utilise hotel e-booking services. All constructs within the UTAUT2 model exhibited a significant and sufficient extent of discriminant and convergent validity and reliability, except for the construct of facilitating conditions. The results provide backing for utilising the UTAUT2 model for predicting consumers’ intention to adopt and utilise e-booking hotel services within the context of Saudi Arabia. Therefore, this study offers valuable contributions to the existing body of literature, by investigating the validity and reliability of the UTAUT model, originally developed for the Western world, to clarify parallel behaviours in a non-Western context

    Examining Factors Affecting Customer Intention And Adoption Of Internet Banking In Jordan

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    This study aims to propose and validate a conceptual model demonstrating the main factors predicting customers’ intention and adoption of Internet banking in Jordan. The conceptual framework was theorized by integrating factors from the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2): performance expectancy (PE), facilitating conditions (FC), and hedonic motivation (HM) along with perceived risk (PR) and trust (TR) were extracted from Internet banking literature. A self-administrative questionnaire has been employed to collect data from a convenience sample of three hundred forty-eight Jordanian banking customers (69.6% response rate). By facilitating AMOS 21, a structural equation modelling (SEM) has been conducted to validate the proposed model and examine the research hypotheses. Statistical results approved that all predictors of behavioural intention (BI) have been recognized as significant. TR was the most influential factor predicting BI. This study ended by deliberating the research limitations and future directions
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