How to cite this paper
Masadeh, R., Almajali, D., Al-Okaily, M., AL-Sous, N & Al-Mousa, M. (2024). Antecedents of cloud-based financial information systems usage: An integrated model.International Journal of Data and Network Science, 8(1), 125-138.
Refrences
Abu-Shanab, E. (2014). Antecedents of trust in e-government services: an empirical test in Jordan. Transforming Govern-ment: People, Process and Policy, 8(4), 480-499.
Adjei, J.K., Adams, S., & Mamattah, L. (2021). Cloud computing adoption in Ghana: accounting for institutional factors. Technology in Society, 65, 101583.
Ai Ping, T., & Al-Okaily, M. (2023a). Evaluation of Data Analytics-Oriented Business Intelligence Technology Effective-ness: An Enterprise-Level Analysis. Business Process Management Journal. Vol. and No. ahead-of-print. https://doi.org/10.1108/BPMJ-10-2022-0546.
Ai Ping, T., Al-Okaily, M., Iranmanesh, M., & Al-Betar, M. (2023b). The Efficiency Measurement of Business Intelli-gence Systems in the Big Data-Driven Economy: A Multidimensional Model. Information Discovery and Delivery. Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IDD-01-2022-0008.
Aji, H.M., Berakon, I., & Md Husin, M. (2020). COVID-19 and e-wallet usage intention: a multigroup analysis between Indonesia and Malaysia. Cogent Business and Management, 7(1), 1804181.
Akter, S., Michael, K., Uddin, M.R., McCarthy, G., & Rahman, M. (2020). Transforming business using digital innova-tions: the application of AI, blockchain, cloud and data analytics. Annals of Operations Research, 308, 1-33.
Alalwan, A.A., Dwivedi, Y.K., & Rana, N.P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99-110.
Alam, M.Z., Hoque, M.R., Hu, W., & Barua, Z. (2020). Factors influencing the adoption of mHealth services in a develop-ing country: a patient-centric study. International Journal of Information Management, 50, 128-143.
Alam, M.Z., Hu, W., & Barua, Z. (2018). Using the UTAUT model to determine factors affecting acceptance and use of mobile health (mHealth) services in Bangladesh. Journal of Studies in Social Sciences, 17(2), 137-172.
Al-Azawei, A., & Alowayr, A. (2020). Predicting the intention to use and hedonic motivation for mobile learning: a com-parative study in two Middle Eastern countries. Technology in Society, 62, 101325.
Al-Bashayreh, M., Almajali, D., Al-Okaily, M., & Al-Adwan, A. (2022). Evaluating electronic customer relationship management system success: the mediating role of customer satisfaction. Sustainability, 14(19), 12310.
Al-Fraihat, D., Al-Debei, M. M., & Al-Okaily, A. (2022). Factors Influencing the Decision to Utilize eTax Systems During the COVID-19 Pandemic: The Moderating Role of Anxiety of COVID-19 Infection. International Journal of Electronic Government Research (IJEGR), 18(1), 1-24.
Alhomdy, S., Thabit, F., Abdulrazzak, F.A.H., Haldorai, A., & Jagtap, S. (2021). The role of cloud computing technology: a savior to fight the lockdown in COVID 19 crisis, the benefits, characteristics and applications. International Journal of Intelligent Networks, 2, 166-174.
Al-Kofahi, M., Shiyyab, F.S. & Al-Okaily, A. (2023). Determinants of user satisfaction with financial information sys-tems in the digital transformation era: insights from emerging markets. Global Knowledge, Memory and Communica-tion, Vol. and No. ahead-of-print. https://doi.org/10.1108/GKMC-12-2022-0285.
Almajali, D., Al-Okaily, M., Barakat, S., Al-Zegaier, H., & Dahalin, Z.M. (2022). Students’ Perceptions of the Sustaina-bility of Distance Learning Systems in the Post-COVID-19: A Qualitative Perspective. Sustainability, 14(12), 7353. https://doi.org/10.3390/su14127353
Almajali, D.A., Majali, T.E., Al-Bashayreh, M.G., & Altamimi, A.M. (2023). Antecedents of acceptance model for e-procurement in Jordanian public shareholding firms. Journal of Consumer Marketing, 40(6), 663-684.
Almaqableh, L., Reddy, K., Pereira, V., Ramiah, V., Wallace, D., & Veron, J.F. (2022). An investigative study of links be-tween terrorist attacks and cryptocurrency markets. Journal of Business Research, 147, 177-188.
Al-Okaily, M. (2022). Toward an integrated model for the antecedents and consequences of AIS usage at the organization-al level. EuroMed Journal of Business. Vol. and No. ahead-of-print. https://doi.org/10.1108/EMJB-05-2022-0100.
Al-Okaily, M. (2023a). The influence of esatisfaction on users' eloyalty toward ewallet payment apps: a mediat-edmoderated model. International Journal of Emerging Markets. Vol. and No. ahead-of-print. https://doi.org/10.1108/IJOEM-08-2022-1313
Al-Okaily, M. (2023b). Does AIS usage matter in SMEs performance? an empirical investigation under digital transfor-mation revolution. Information Discovery and Delivery. Vol. and No. ahead-of-print. https://doi.org/10.1108/IDD-08-2022-0072.
Alqudah, H., Al-Qudah, A.A., Al-Qadi, N.S., Elrehail, H., & Al-Okaily, A. (2022). Does financial awareness increase the acceptance rate for financial inclusion? An empirical examination in the era of digital transformation, Kybernetes, Vol. and No. ahead-of-print. https://doi.org/10.1108/K-08-2021-0710.
Alsmadi, A. A., Shuhaiber, A., Alhawamdeh, L. N., Alghazzawi, R., & Al-Okaily, M. (2022). Twenty Years of Mobile Banking Services Development and Sustainability: A Bibliometric Analysis Overview (2000–2020). Sustainability, 14(17), 10630.
Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., & Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50-58.
Arpaci, I. (2017). Antecedents and consequences of cloud computing adoption in education to achieve knowledge man-agement. Computers in Human Behavior, 70, 382-390.
Asatiani, A., Apte, U., Penttinen, E., Rönkkö, M., and Saarinen, T. (2019). Impact of accounting process characteristics on accounting outsourcing-comparison of users and non-users of cloud-based accounting information systems. Interna-tional Journal of Accounting Information Systems, 34, 100419.
Bagozzi, R., & Yi, Y. (1988). On the Evaluation of Structural Evaluation Models. Journal of the Academy of Marketing Science, 16(1), 74-94.
Bany Mohammad, A., Al-Okaily, M., Al-Majali, M., & Masa’deh, R. E. (2022). Business Intelligence and Analytics (BIA) Usage in the Banking Industry Sector: An Application of the TOE Framework. Journal of Open Innovation: Technolo-gy, Market, and Complexity, 8(4), 189.
Bhatiasevi, V. (2016). An extended UTAUT model to explain the adoption of mobile banking. Information Development, 32(4), 799-814.
Carter, L., & Bélanger, F. (2005). The utilization of e-government services: citizen trust, innovation and acceptance fac-tors. Information Systems Journal, 15(1), 5-25.
Chang, M.L., & Wu, W.Y. (2012). Revisiting perceived risk in the context of online shopping: an alternative perspective of decision-making styles. Psychology and Marketing, 29(5), 378-400.
Cleary, P., & Quinn, M. (2016). Intellectual capital and business performance: an exploratory study of the impact of cloud-based accounting and finance infrastructure. Journal of Intellectual Capital, 17(2), 255-278.
Daniel, J. (2011). Sampling Essentials: Practical Guidelines for Making Sampling Choices. Sage Publications.
Dimitriu, O., & Matei, M. (2014). A new paradigm for accounting through cloud computing. Procedia Economics and Fi-nance, 15, 840-846.
Dwivedi, Y.K., Rana, N.P., Jeyaraj, A., Clement, M., & Williams, M.D. (2019). Re-examining the unified theory of ac-ceptance and use of technology (UTAUT): towards a revised theoretical model. Information Systems Frontiers, 21(3), 719-734.
Dwivedi, Y.K., Shareef, M.A., Simintiras, A.C., Lal, B., & Weerakkody, V. (2016). A generalised adoption model for ser-vices: a cross-country comparison of mobile health (m-health). Government Information Quarterly, 33(1), 174-187.
Gardner, B. (2020, March 2). Dirty banknotes may be spreading the coronavirus, WHO suggests. The Telegraph. https://www.telegraph.co.uk/news/2020/03/02/exclusive-dirty-banknotesmay-spreading-coronavirus-world-health.
Godovykh, M., Pizam, A., & Bahja, F. (2021). Antecedents and outcomes of health risk perceptions in tourism, following the COVID-19 pandemic. Tourism Review, 76(4), 737-748.
Gupta, P., Seetharaman, A., & Raj, J.R. (2013). The usage and adoption of cloud computing by small and medium busi-nesses. International Journal of Information Management, 33(5), 861-874.
Hair, J., Black, W., Babin, B., Anderson, R., & Tatham, R. (2010). Multivariate Data Analysis. (7th edition), New Jersey: Prentice-Hall.
Heshiki, Y., Dissanayake, T., Zheng, T., Kang, K., Yueqiong, N., Xu, Z., Sarkar, C., Woo, P. C. Y., Chow, B. K. C., Baker, D., Yan, A., Webster, C. J., Panagiotou, G., & Li, J. (2017). Toward a metagenomic understanding on the bacterial composition and resistome in Hong Kong banknotes. Frontiers in Microbiology, 8, 632. https://doi.org/10.3389/fmicb.2017.00632
Ibrahim, F., Ali, D.N.H., & Besar, N.S.A. (2020). Accounting information systems (FIS) in SMEs: towards an integrated framework. International Journal of Asian Business and Information Management, 11(2), 51-67.
JCI (2017). Jordan chamber of industry - industrial directory, available at: www.jci.org.jo/
Kakushadze, Z., & Liew, J.K.-S. (2020). Coronavirus: Case for Digital Money? World Economics, 21(1), 177-190.
Khayer, A., Talukder, M.S., Bao, Y., & Hossain, M.N. (2020). Cloud computing adoption and its impact on SMEs’ per-formance for cloud supported operations: a dual-stage analytical approach. Technology in Society, 60, 101225.
Kim, C., Tao, W., Shin, N., & Kim, K.-S. (2010). An empirical study of customers’ perceptions of security and trust in e-payment systems. Electronic Commerce Research and Applications, 9(1), 84-95.
Kramer, A., Schwebke, I., & Kampf, G. (2006). How long do nosocomial pathogens persist on inanimate surfaces? A sys-tematic review. BMC Infectious Diseases, 6(1), 1-8.
Kurfalı, M., Arifoglu, A., Tokdemir, G., & Paçin, Y. (2017). Adoption of e-government services in Turkey. Computers in Human Behavior, 66, 168-178.
Kwok, Y.L.A., Gralton, J., & McLaws, M.L. (2015). Face touching: A frequent habit that has implications for hand hy-giene. American Journal of Infection Control, 43(2), 112-114. https://doi.org/10.1016/j.ajic.2014.10.015.
Lallmahomed, M.Z.I., Lallmahomed, N., & Lallmahomed, G.M. (2017). Factors influencing the adoption of e-government services in Mauritius. Telematics and Informatics, 34(4), 57-72.
Le, X.C. (2022). The diffusion of mobile QR-code payment: an empirical evaluation for a pandemic. Asia-Pacific Journal of Business Administration, 14(4), 617-636.
Lian, J.-W. (2015). Critical factors for cloud based e-invoice service adoption in Taiwan: an empirical study. Internation-al Journal of Information Management, 35(1), 98-109.
Lu, M.P., & Kosim, Z. (2022). An empirical study to explore the influence of the COVID-19 crisis on consumers’ behav-iour towards cashless payment in Malaysia. Journal of Financial Services Marketing. https://doi.org/10.1057/s41264-022-00182-9.
Masa'deh, R. (2012). The impact of management information systems (MIS) on quality assurance (QA): a case study in Jordan. International Journal of Information, Business and Management, 4(2), 93-110.
Masa'deh, R., & Shannak, R. (2012). Intermediary effects of knowledge management strategy and learning orientation on strategic alignment and firm performance. Research Journal of International Studies, 24, 112-128.
Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. In: National Institute of Standards and Technolo-gy.
MoDEE (2020). Cloud (platforms and services) policy 2020, available at: www.modee.gov.jo/ebv4.0/ root_storage/en/eb_list_page/cloudpolicy-2020-english.pdf
Moudud-Ul-Huq, S., Asaduzzaman, M., & Biswas, T. (2020). Role of cloud computing in global accounting information systems. The Bottom Line, 33(3), 231-250.
Pallant, J. (2005). SPSS Survival Manual: A Step Guide to Data Analysis Using SPSS for Windows Version 12. Chicago, Illinois: Open University Press.
Paquette, S., Jaeger, P.T., & Wilson, S.C. (2010). Identifying the security risks associated with governmental use of cloud computing. Government Information Quarterly, 27(3), 245-253, doi: 10.1016/j.giq.2010.01.002
Patil, P., Tamilmani, K., Rana, N.P., & Raghavan, V. (2020). Understanding consumer adoption of mobile payment in In-dia: extending meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal. International Journal of Information Management, 54, 102144.
Pujazon, D., & Carr, B. (2020). Cloud computing: a vital enabler in times of disruption. The United States, available at: www.iif.com/Publications/ID/3978/Cloud-Computing-A-Vital-Enabler-in-Times-of-Disruption
Quintal, V.A., Lee, J.A., & Soutar, G.N. (2010). Risk, uncertainty and the theory of planned behavior: a tourism example. Tourism Management, 31(6), 797-805.
Ronaghi, M.H., & Forouharfar, A. (2020). A contextualized study of the usage of the internet of things (IoTs) in smart farming in a typical Middle Eastern country within the context of unified theory of acceptance and use of technology model (UTAUT). Technology in Society, 63, 101415.
Sastararuji, D., Hoonsopon, D., Pitchayadol, P., & Chiwamit, P. (2021). Cloud accounting adoption in small and medium enterprises: an integrated conceptual framework: five factors of determinant were identified by integrated Technology-Organization-Environment (TOE) framework, diffusion of innovation (DOI), institutional theory (INT) and extended factors. Paper presented at the 2nd International Conference on Industrial Engineering and Industrial Management, Barcelona.
Sekaran, U., & Bougie, R. (2013). Research Methods for Business: A Skill-Building Approach, 6th edition, New York: Wiley.
Shareef, M.A., Dwivedi, Y.K., Kumar, V., & Kumar, U. (2017). Content design of advertisement for consumer exposure: mobile marketing through short messaging service. International Journal of Information Management, 37(4), 257-268.
Sharma, S.K., Al-Badi, A., Rana, N.P., & Al-Azizi, L. (2018). Mobile applications in government services (mG-App) from user’s perspectives: a predictive modelling approach. Government Information Quarterly, 35(4), 557-568.
Sharma, V., You, I., Andersson, K., Palmieri, F., Rehmani, M.H., & Lim, J. (2020). Security, privacy and trust for smart mobile-internet of things (M-IoT): a survey. IEEE Access, 8, 167123-167163.
Shin, D.-H. (2013). User centric cloud service model in public sectors: policy implications of cloud services. Government Information Quarterly, 30(2), 194-203.
Singh, R.P., Haleem, A., Javaid, M., Kataria, R., & Singhal, S. (2021). Cloud computing in solving problems of COVID-19 pandemic. Journal of Industrial Integration and Management, 6(2), 209-219.
Singh, R.P., Javaid, M., Haleem, A., & Suman, R. (2020). Internet of things (IoT) applications to fight against COVID-19 pandemic. Diabetes and Metabolic Syndrome: Clinical Research and Reviews, 14(4), 521-524.
Singh, S., Jeong, Y.-S., & Park, J.H. (2016). A survey on cloud computing security: issues, threats, and solutions. Journal of Network and Computer Applications, 75, 200-222, doi: 10.1016/j. jnca.2016.09.002.
Son, H., Park, Y., Kim, C., & Chou, J.-S. (2012). Toward an understanding of construction professionals’ acceptance of mobile computing devices in South Korea: an extension of the technology acceptance model. Automation in Construc-tion, 28, 82-90.
Song, C-H., Kim, S.W., & Sohn, Y-W. (2020). Acceptance of public cloud storage services in South Korea: a multi-group analysis. International Journal of Information Management, 51, 102035.
Sreelakshmi, C.C., & Prathap, S.K. (2020). Continuance adoption of mobile-based payments in Covid-19 context: an inte-grated framework of health belief model and expectation confirmation model. International Journal of Pervasive Computing and Communications, 16(4), 351-369. https://doi.org/10.1108/IJPCC-06-2020-0069
Sultan, N. (2014). Making use of cloud computing for healthcare provision: opportunities and challenges. International Journal of Information Management, 34(2), 177-184.
Sultana, J. (2020). Determining the factors that affect the uses of mobile cloud learning (MCL) platform blackboard-a modification of the UTAUT model. Education and Information Technologies, 25(1), 223-238.
Tamele, B., Zamora-Pérez, A., Litardi, C., Howes, J., Steinmann, E., & Todt, D. (2021). Catch me (if you can): assessing the risk of SARS-CoV-2 transmission via euro cash (2021/259; Occasional Paper Series). http://dx.doi.org/10.2139/ssrn.3896131
Venkatesh, V., & Zhang, X. (2010). Unified theory of acceptance and use of technology: US vs China. Journal of Global Information Technology Management, 13(1), 5-27.
Venkatesh, V., Morris, M.G., Davis, G.B., & Davis, F.D. (2003). User acceptance of information technology: toward a uni-fied view. MIS Quarterly, 27(3), 425-478.
Venkatesh, V., Thong, J.Y.L., & 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.
Yau-Yeung, D., Yigitbasioglu, O., & Green, P. (2020). Cloud accounting risks and mitigation strategies: evidence from Australia. Accounting Forum, 44(4), 421-446.
Zissis, D., & Lekkas, D. (2011). Securing e-government and e-voting with an open cloud computing architecture. Govern-ment Information Quarterly, 28(2), 239-251.
Zissis, D., & Lekkas, D. (2012). Addressing cloud computing security issues. Future Generation Computer Systems, 28(3), 583-592, doi: 10.1016/j.future.2010.12.006.
Adjei, J.K., Adams, S., & Mamattah, L. (2021). Cloud computing adoption in Ghana: accounting for institutional factors. Technology in Society, 65, 101583.
Ai Ping, T., & Al-Okaily, M. (2023a). Evaluation of Data Analytics-Oriented Business Intelligence Technology Effective-ness: An Enterprise-Level Analysis. Business Process Management Journal. Vol. and No. ahead-of-print. https://doi.org/10.1108/BPMJ-10-2022-0546.
Ai Ping, T., Al-Okaily, M., Iranmanesh, M., & Al-Betar, M. (2023b). The Efficiency Measurement of Business Intelli-gence Systems in the Big Data-Driven Economy: A Multidimensional Model. Information Discovery and Delivery. Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IDD-01-2022-0008.
Aji, H.M., Berakon, I., & Md Husin, M. (2020). COVID-19 and e-wallet usage intention: a multigroup analysis between Indonesia and Malaysia. Cogent Business and Management, 7(1), 1804181.
Akter, S., Michael, K., Uddin, M.R., McCarthy, G., & Rahman, M. (2020). Transforming business using digital innova-tions: the application of AI, blockchain, cloud and data analytics. Annals of Operations Research, 308, 1-33.
Alalwan, A.A., Dwivedi, Y.K., & Rana, N.P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99-110.
Alam, M.Z., Hoque, M.R., Hu, W., & Barua, Z. (2020). Factors influencing the adoption of mHealth services in a develop-ing country: a patient-centric study. International Journal of Information Management, 50, 128-143.
Alam, M.Z., Hu, W., & Barua, Z. (2018). Using the UTAUT model to determine factors affecting acceptance and use of mobile health (mHealth) services in Bangladesh. Journal of Studies in Social Sciences, 17(2), 137-172.
Al-Azawei, A., & Alowayr, A. (2020). Predicting the intention to use and hedonic motivation for mobile learning: a com-parative study in two Middle Eastern countries. Technology in Society, 62, 101325.
Al-Bashayreh, M., Almajali, D., Al-Okaily, M., & Al-Adwan, A. (2022). Evaluating electronic customer relationship management system success: the mediating role of customer satisfaction. Sustainability, 14(19), 12310.
Al-Fraihat, D., Al-Debei, M. M., & Al-Okaily, A. (2022). Factors Influencing the Decision to Utilize eTax Systems During the COVID-19 Pandemic: The Moderating Role of Anxiety of COVID-19 Infection. International Journal of Electronic Government Research (IJEGR), 18(1), 1-24.
Alhomdy, S., Thabit, F., Abdulrazzak, F.A.H., Haldorai, A., & Jagtap, S. (2021). The role of cloud computing technology: a savior to fight the lockdown in COVID 19 crisis, the benefits, characteristics and applications. International Journal of Intelligent Networks, 2, 166-174.
Al-Kofahi, M., Shiyyab, F.S. & Al-Okaily, A. (2023). Determinants of user satisfaction with financial information sys-tems in the digital transformation era: insights from emerging markets. Global Knowledge, Memory and Communica-tion, Vol. and No. ahead-of-print. https://doi.org/10.1108/GKMC-12-2022-0285.
Almajali, D., Al-Okaily, M., Barakat, S., Al-Zegaier, H., & Dahalin, Z.M. (2022). Students’ Perceptions of the Sustaina-bility of Distance Learning Systems in the Post-COVID-19: A Qualitative Perspective. Sustainability, 14(12), 7353. https://doi.org/10.3390/su14127353
Almajali, D.A., Majali, T.E., Al-Bashayreh, M.G., & Altamimi, A.M. (2023). Antecedents of acceptance model for e-procurement in Jordanian public shareholding firms. Journal of Consumer Marketing, 40(6), 663-684.
Almaqableh, L., Reddy, K., Pereira, V., Ramiah, V., Wallace, D., & Veron, J.F. (2022). An investigative study of links be-tween terrorist attacks and cryptocurrency markets. Journal of Business Research, 147, 177-188.
Al-Okaily, M. (2022). Toward an integrated model for the antecedents and consequences of AIS usage at the organization-al level. EuroMed Journal of Business. Vol. and No. ahead-of-print. https://doi.org/10.1108/EMJB-05-2022-0100.
Al-Okaily, M. (2023a). The influence of esatisfaction on users' eloyalty toward ewallet payment apps: a mediat-edmoderated model. International Journal of Emerging Markets. Vol. and No. ahead-of-print. https://doi.org/10.1108/IJOEM-08-2022-1313
Al-Okaily, M. (2023b). Does AIS usage matter in SMEs performance? an empirical investigation under digital transfor-mation revolution. Information Discovery and Delivery. Vol. and No. ahead-of-print. https://doi.org/10.1108/IDD-08-2022-0072.
Alqudah, H., Al-Qudah, A.A., Al-Qadi, N.S., Elrehail, H., & Al-Okaily, A. (2022). Does financial awareness increase the acceptance rate for financial inclusion? An empirical examination in the era of digital transformation, Kybernetes, Vol. and No. ahead-of-print. https://doi.org/10.1108/K-08-2021-0710.
Alsmadi, A. A., Shuhaiber, A., Alhawamdeh, L. N., Alghazzawi, R., & Al-Okaily, M. (2022). Twenty Years of Mobile Banking Services Development and Sustainability: A Bibliometric Analysis Overview (2000–2020). Sustainability, 14(17), 10630.
Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., & Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50-58.
Arpaci, I. (2017). Antecedents and consequences of cloud computing adoption in education to achieve knowledge man-agement. Computers in Human Behavior, 70, 382-390.
Asatiani, A., Apte, U., Penttinen, E., Rönkkö, M., and Saarinen, T. (2019). Impact of accounting process characteristics on accounting outsourcing-comparison of users and non-users of cloud-based accounting information systems. Interna-tional Journal of Accounting Information Systems, 34, 100419.
Bagozzi, R., & Yi, Y. (1988). On the Evaluation of Structural Evaluation Models. Journal of the Academy of Marketing Science, 16(1), 74-94.
Bany Mohammad, A., Al-Okaily, M., Al-Majali, M., & Masa’deh, R. E. (2022). Business Intelligence and Analytics (BIA) Usage in the Banking Industry Sector: An Application of the TOE Framework. Journal of Open Innovation: Technolo-gy, Market, and Complexity, 8(4), 189.
Bhatiasevi, V. (2016). An extended UTAUT model to explain the adoption of mobile banking. Information Development, 32(4), 799-814.
Carter, L., & Bélanger, F. (2005). The utilization of e-government services: citizen trust, innovation and acceptance fac-tors. Information Systems Journal, 15(1), 5-25.
Chang, M.L., & Wu, W.Y. (2012). Revisiting perceived risk in the context of online shopping: an alternative perspective of decision-making styles. Psychology and Marketing, 29(5), 378-400.
Cleary, P., & Quinn, M. (2016). Intellectual capital and business performance: an exploratory study of the impact of cloud-based accounting and finance infrastructure. Journal of Intellectual Capital, 17(2), 255-278.
Daniel, J. (2011). Sampling Essentials: Practical Guidelines for Making Sampling Choices. Sage Publications.
Dimitriu, O., & Matei, M. (2014). A new paradigm for accounting through cloud computing. Procedia Economics and Fi-nance, 15, 840-846.
Dwivedi, Y.K., Rana, N.P., Jeyaraj, A., Clement, M., & Williams, M.D. (2019). Re-examining the unified theory of ac-ceptance and use of technology (UTAUT): towards a revised theoretical model. Information Systems Frontiers, 21(3), 719-734.
Dwivedi, Y.K., Shareef, M.A., Simintiras, A.C., Lal, B., & Weerakkody, V. (2016). A generalised adoption model for ser-vices: a cross-country comparison of mobile health (m-health). Government Information Quarterly, 33(1), 174-187.
Gardner, B. (2020, March 2). Dirty banknotes may be spreading the coronavirus, WHO suggests. The Telegraph. https://www.telegraph.co.uk/news/2020/03/02/exclusive-dirty-banknotesmay-spreading-coronavirus-world-health.
Godovykh, M., Pizam, A., & Bahja, F. (2021). Antecedents and outcomes of health risk perceptions in tourism, following the COVID-19 pandemic. Tourism Review, 76(4), 737-748.
Gupta, P., Seetharaman, A., & Raj, J.R. (2013). The usage and adoption of cloud computing by small and medium busi-nesses. International Journal of Information Management, 33(5), 861-874.
Hair, J., Black, W., Babin, B., Anderson, R., & Tatham, R. (2010). Multivariate Data Analysis. (7th edition), New Jersey: Prentice-Hall.
Heshiki, Y., Dissanayake, T., Zheng, T., Kang, K., Yueqiong, N., Xu, Z., Sarkar, C., Woo, P. C. Y., Chow, B. K. C., Baker, D., Yan, A., Webster, C. J., Panagiotou, G., & Li, J. (2017). Toward a metagenomic understanding on the bacterial composition and resistome in Hong Kong banknotes. Frontiers in Microbiology, 8, 632. https://doi.org/10.3389/fmicb.2017.00632
Ibrahim, F., Ali, D.N.H., & Besar, N.S.A. (2020). Accounting information systems (FIS) in SMEs: towards an integrated framework. International Journal of Asian Business and Information Management, 11(2), 51-67.
JCI (2017). Jordan chamber of industry - industrial directory, available at: www.jci.org.jo/
Kakushadze, Z., & Liew, J.K.-S. (2020). Coronavirus: Case for Digital Money? World Economics, 21(1), 177-190.
Khayer, A., Talukder, M.S., Bao, Y., & Hossain, M.N. (2020). Cloud computing adoption and its impact on SMEs’ per-formance for cloud supported operations: a dual-stage analytical approach. Technology in Society, 60, 101225.
Kim, C., Tao, W., Shin, N., & Kim, K.-S. (2010). An empirical study of customers’ perceptions of security and trust in e-payment systems. Electronic Commerce Research and Applications, 9(1), 84-95.
Kramer, A., Schwebke, I., & Kampf, G. (2006). How long do nosocomial pathogens persist on inanimate surfaces? A sys-tematic review. BMC Infectious Diseases, 6(1), 1-8.
Kurfalı, M., Arifoglu, A., Tokdemir, G., & Paçin, Y. (2017). Adoption of e-government services in Turkey. Computers in Human Behavior, 66, 168-178.
Kwok, Y.L.A., Gralton, J., & McLaws, M.L. (2015). Face touching: A frequent habit that has implications for hand hy-giene. American Journal of Infection Control, 43(2), 112-114. https://doi.org/10.1016/j.ajic.2014.10.015.
Lallmahomed, M.Z.I., Lallmahomed, N., & Lallmahomed, G.M. (2017). Factors influencing the adoption of e-government services in Mauritius. Telematics and Informatics, 34(4), 57-72.
Le, X.C. (2022). The diffusion of mobile QR-code payment: an empirical evaluation for a pandemic. Asia-Pacific Journal of Business Administration, 14(4), 617-636.
Lian, J.-W. (2015). Critical factors for cloud based e-invoice service adoption in Taiwan: an empirical study. Internation-al Journal of Information Management, 35(1), 98-109.
Lu, M.P., & Kosim, Z. (2022). An empirical study to explore the influence of the COVID-19 crisis on consumers’ behav-iour towards cashless payment in Malaysia. Journal of Financial Services Marketing. https://doi.org/10.1057/s41264-022-00182-9.
Masa'deh, R. (2012). The impact of management information systems (MIS) on quality assurance (QA): a case study in Jordan. International Journal of Information, Business and Management, 4(2), 93-110.
Masa'deh, R., & Shannak, R. (2012). Intermediary effects of knowledge management strategy and learning orientation on strategic alignment and firm performance. Research Journal of International Studies, 24, 112-128.
Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. In: National Institute of Standards and Technolo-gy.
MoDEE (2020). Cloud (platforms and services) policy 2020, available at: www.modee.gov.jo/ebv4.0/ root_storage/en/eb_list_page/cloudpolicy-2020-english.pdf
Moudud-Ul-Huq, S., Asaduzzaman, M., & Biswas, T. (2020). Role of cloud computing in global accounting information systems. The Bottom Line, 33(3), 231-250.
Pallant, J. (2005). SPSS Survival Manual: A Step Guide to Data Analysis Using SPSS for Windows Version 12. Chicago, Illinois: Open University Press.
Paquette, S., Jaeger, P.T., & Wilson, S.C. (2010). Identifying the security risks associated with governmental use of cloud computing. Government Information Quarterly, 27(3), 245-253, doi: 10.1016/j.giq.2010.01.002
Patil, P., Tamilmani, K., Rana, N.P., & Raghavan, V. (2020). Understanding consumer adoption of mobile payment in In-dia: extending meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal. International Journal of Information Management, 54, 102144.
Pujazon, D., & Carr, B. (2020). Cloud computing: a vital enabler in times of disruption. The United States, available at: www.iif.com/Publications/ID/3978/Cloud-Computing-A-Vital-Enabler-in-Times-of-Disruption
Quintal, V.A., Lee, J.A., & Soutar, G.N. (2010). Risk, uncertainty and the theory of planned behavior: a tourism example. Tourism Management, 31(6), 797-805.
Ronaghi, M.H., & Forouharfar, A. (2020). A contextualized study of the usage of the internet of things (IoTs) in smart farming in a typical Middle Eastern country within the context of unified theory of acceptance and use of technology model (UTAUT). Technology in Society, 63, 101415.
Sastararuji, D., Hoonsopon, D., Pitchayadol, P., & Chiwamit, P. (2021). Cloud accounting adoption in small and medium enterprises: an integrated conceptual framework: five factors of determinant were identified by integrated Technology-Organization-Environment (TOE) framework, diffusion of innovation (DOI), institutional theory (INT) and extended factors. Paper presented at the 2nd International Conference on Industrial Engineering and Industrial Management, Barcelona.
Sekaran, U., & Bougie, R. (2013). Research Methods for Business: A Skill-Building Approach, 6th edition, New York: Wiley.
Shareef, M.A., Dwivedi, Y.K., Kumar, V., & Kumar, U. (2017). Content design of advertisement for consumer exposure: mobile marketing through short messaging service. International Journal of Information Management, 37(4), 257-268.
Sharma, S.K., Al-Badi, A., Rana, N.P., & Al-Azizi, L. (2018). Mobile applications in government services (mG-App) from user’s perspectives: a predictive modelling approach. Government Information Quarterly, 35(4), 557-568.
Sharma, V., You, I., Andersson, K., Palmieri, F., Rehmani, M.H., & Lim, J. (2020). Security, privacy and trust for smart mobile-internet of things (M-IoT): a survey. IEEE Access, 8, 167123-167163.
Shin, D.-H. (2013). User centric cloud service model in public sectors: policy implications of cloud services. Government Information Quarterly, 30(2), 194-203.
Singh, R.P., Haleem, A., Javaid, M., Kataria, R., & Singhal, S. (2021). Cloud computing in solving problems of COVID-19 pandemic. Journal of Industrial Integration and Management, 6(2), 209-219.
Singh, R.P., Javaid, M., Haleem, A., & Suman, R. (2020). Internet of things (IoT) applications to fight against COVID-19 pandemic. Diabetes and Metabolic Syndrome: Clinical Research and Reviews, 14(4), 521-524.
Singh, S., Jeong, Y.-S., & Park, J.H. (2016). A survey on cloud computing security: issues, threats, and solutions. Journal of Network and Computer Applications, 75, 200-222, doi: 10.1016/j. jnca.2016.09.002.
Son, H., Park, Y., Kim, C., & Chou, J.-S. (2012). Toward an understanding of construction professionals’ acceptance of mobile computing devices in South Korea: an extension of the technology acceptance model. Automation in Construc-tion, 28, 82-90.
Song, C-H., Kim, S.W., & Sohn, Y-W. (2020). Acceptance of public cloud storage services in South Korea: a multi-group analysis. International Journal of Information Management, 51, 102035.
Sreelakshmi, C.C., & Prathap, S.K. (2020). Continuance adoption of mobile-based payments in Covid-19 context: an inte-grated framework of health belief model and expectation confirmation model. International Journal of Pervasive Computing and Communications, 16(4), 351-369. https://doi.org/10.1108/IJPCC-06-2020-0069
Sultan, N. (2014). Making use of cloud computing for healthcare provision: opportunities and challenges. International Journal of Information Management, 34(2), 177-184.
Sultana, J. (2020). Determining the factors that affect the uses of mobile cloud learning (MCL) platform blackboard-a modification of the UTAUT model. Education and Information Technologies, 25(1), 223-238.
Tamele, B., Zamora-Pérez, A., Litardi, C., Howes, J., Steinmann, E., & Todt, D. (2021). Catch me (if you can): assessing the risk of SARS-CoV-2 transmission via euro cash (2021/259; Occasional Paper Series). http://dx.doi.org/10.2139/ssrn.3896131
Venkatesh, V., & Zhang, X. (2010). Unified theory of acceptance and use of technology: US vs China. Journal of Global Information Technology Management, 13(1), 5-27.
Venkatesh, V., Morris, M.G., Davis, G.B., & Davis, F.D. (2003). User acceptance of information technology: toward a uni-fied view. MIS Quarterly, 27(3), 425-478.
Venkatesh, V., Thong, J.Y.L., & 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.
Yau-Yeung, D., Yigitbasioglu, O., & Green, P. (2020). Cloud accounting risks and mitigation strategies: evidence from Australia. Accounting Forum, 44(4), 421-446.
Zissis, D., & Lekkas, D. (2011). Securing e-government and e-voting with an open cloud computing architecture. Govern-ment Information Quarterly, 28(2), 239-251.
Zissis, D., & Lekkas, D. (2012). Addressing cloud computing security issues. Future Generation Computer Systems, 28(3), 583-592, doi: 10.1016/j.future.2010.12.006.