Browse > Article
http://dx.doi.org/10.13106/jafeb.2021.vol8.no2.0833

Cloud-Based Accounting Adoption in Jordanian Financial Sector  

ELDALABEEH, Abdel Rahman (Accounting Department, Faculty of Economics and Administrative Sciences, Al al-Bayt University)
AL-SHBAIL, Mohannad Obeid (Accounting Department, Faculty of Economics and Administrative Sciences, Al al-Bayt University)
ALMUIET, Mohammad Zayed (Queen Noor Aviation Technical College, Cyber Security Department)
BANY BAKER, Mohammad (Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia)
E'LEIMAT, Dheifallah (Al al-Bayt University)
Publication Information
The Journal of Asian Finance, Economics and Business / v.8, no.2, 2021 , pp. 833-849 More about this Journal
Abstract
Cloud accounting represents a new area of accounting information systems. Past research has often focused on accounting information systems and its antecedents, rather than factors that adopt cloud accounting system. The purpose of this paper is to explain the factors that influence the adoption of cloud accounting in the financial sectors. This paper applied the technology acceptance model (TAM), technology-organization-environment, and the De Lone and Mc Lean model, coupled with proposed factors relevant to cloud accounting. The proposed model was empirically evaluated using survey data from 187 managers (financial managers, IT department managers, audit managers, heads of accounting departments, and head of internal control departments) in Jordanian bank branches. Based on the SEM results, top management support, organizational competency, service quality, system quality, perceived usefulness, and perceived ease of use had a positive relationship with the intention of using cloud accounting. Cloud accounting adoption positively affected cloud accounting usage. This paper contributes to a theoretical understanding of factors that activate the adoption of cloud accounting. For financial firms in general the results enable them to better develop cloud accounting framework. The paper verifies the factors that affect the adoption of cloud accounting and the proposed cloud accounting model.
Keywords
Cloud Accounting; TAM Model; TOE Model; De Lone and Mc Lean Model; Jordan;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Tashkandi, A. N., & Al-Jabri, I. M. (2015). Cloud computing adoption by higher education institutions in Saudi Arabia: an exploratory study. Cluster Computing, 18(4), 1527-1537. https://doi.org/10.1007/s10586-015-0490-4   DOI
2 Tran, D. T., Lee, L. Y., Nguyen, P. T., & Srisittiratkl, W. (2020). How Leader Characteristics and Leader Member Exchange Lead to Social Capital and Job Performance. Journal of Asian Finance, Economics, and Business, 7(1), 269-278.‏ https://doi.org/10.13106/jafeb.2020.vol7.no1.269   DOI
3 Tornatzky, L. G., Fleischer, M., & Chakrabarti, A. K. (1990). Processes of technological innovation. Lanham, CA: Lexington Books.
4 Tu, M. (2018). An exploratory study of Internet of Things (IoT) adoption intention in logistics and supply chain management. The International Journal of Logistics Management, 29(1), 131-151. https://doi.org/10.1108/IJLM-11-2016-0274   DOI
5 Turner, L., & Weickgenannt, A. (2020). Accounting information systems: controls and processes. Hoboken, NJ: John Wiley & Sons.
6 Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273-315. https://doi.org/10.1111/j.1540-5915.2008.00192.x   DOI
7 Venkatesh, 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/10.2307/30036540   DOI
8 Wang, E., Klein, G., & Jiang, J. J. (2006). ERP Misfit: Country of Origin and Organizational Factors. Journal of Management Information Systems, 23(1), 263-292. https://doi.org/10.2753/MIS0742-1222230109   DOI
9 Yigitbasioglu, O. M. (2015). External auditors' perceptions of cloud computing adoption in Australia. International Journal of Accounting Information Systems, 18, 46-62. https://doi.org/10.1016/j.accinf.2015.09.001   DOI
10 Yim, M. S. (2019). A study on factor analytical methods and procedures for PLS-SEM (Partial Least Squares Structural Equation Modeling). The Journal of Industrial Distribution & Business, 10(5), 7-20. https://doi.org/10.13106/ijidb.2019.vol10.no5.7   DOI
11 Yoo, S.-K., & Kim, B.-Y. (2019). The effective factors of cloud computing adoption success in organization. Journal of Asian Finance, Economics and Business, 6(1), 217-229. https://doi.org/10.13106/jafeb.2019.vol6.no1.217   DOI
12 Rajan, C. A., & Baral, R. (2015). Adoption of ERP system: An empirical study of factors influencing the usage of ERP and its impact on end user. IIMB Management Review, 27(2), 105-117. https://doi.org/10.1016/j.iimb.2015.04.008   DOI
13 Zin, M. L. M., Ibrahim, H., & Hassan, Z. (2016). The determinants of human resource information system success in Japanese manufacturing companies. The Journal of Business Economics and Environmental Studies, 6(4), 27-34. https://doi.org/10.13106/eajbm.2016.vol6.no4.27   DOI
14 Potluri, R. M., & Angiating, G. (2018). A study on service quality and customer satisfaction in Nigerian Healthcare sector. International Journal of Industrial Distribution & Business, 9(12), 7-14. https://doi:http://dx.doi.org/10.13106/ijidb   DOI
15 Rad, M. S., Nilashi, M., & Dahlan, H. M. (2018). Information technology adoption: a review of the literature and classification. Universal Access in the Information Society, 17(2), 361-390. https://doi.org/10.1007/s10209-017-0534-z   DOI
16 Raut, R. D., Gardas, B. B., Jha, M. K., & Priyadarshinee, P. (2017). Examining the critical success factors of cloud computing adoption in the MSMEs by using ISM model. The Journal of High Technology Management Research, 28(2), 125-141. https://doi.org/10.1016/j.hitech.2017.10.004   DOI
17 Reio Jr, T. G. (2010). The threat of common method variance bias to theory building. Human Resource Development Review, 9(4), 405-411. https://doi.org/10.1177/1534484310380331   DOI
18 Reza Bazi, H., Hassanzadeh, A., & Moeini, A. (2017). A comprehensive framework for cloud computing migration using Meta-synthesis approach. Journal of Systems and Software, 128, 87-105. https://doi.org/10.1016/j.jss.2017.02.049   DOI
19 Salem, M. M., & Hwang, G.-H. (2016). Critical Factors Influencing Adoption of Cloud Computing for Government Organizations in Yemen. The Journal of Distribution Science, 14(11), 37-47. https://doi.org/10.15722/jds.14.11.201611.37   DOI
20 Sabi, H. M., Uzoka, F.-M. E., Langmia, K., & Njeh, F. N. (2016). Conceptualizing a model for adoption of cloud computing in education. International Journal of Information Management, 36(2), 183-191. https://doi.org/10.1016/j.ijinfomgt.2015.11.010   DOI
21 Sarstedt, M., & Cheah, J.-H. (2019). Partial least squares structural equation modeling using SmartPLS: a software review. Journal of Marketing Analytics, 7(3), 196-202. https://doi.org/10.1057/s41270-019-00058-3   DOI
22 Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information systems research, 8(3), 240-253. https://doi.org/10.1287/isre.8.3.240   DOI
23 Streukens, S., & Leroi-Werelds, S. (2016). Bootstrapping and PLSSEM: A step-by-step guide to get more out of your bootstrap results. European Management Journal, 34(6), 618-632. https://doi.org/10.1016/j.emj.2016.06.003   DOI
24 Pflanzner, T., & Kertesz, A. (2016). A survey of IoT cloud providers. In: 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) (pp. 730-735). IEEE
25 Podsakoff, P. M., & Organ, D. W. (1986). Self-reports in organizational research: Problems and prospects. Journal of Management, 12(4), 531-544. https://doi.org/10.1177/014920638601200408   DOI
26 Al-Fraihat, D., Joy, M., & Sinclair, J. (2020). Evaluating E-learning systems success: An empirical study. Computers in Human Behavior, 102, 67-86. https://doi.org/10.1016/j.chb.2019.08.004   DOI
27 Ahmed, U., Majid, A. H. A., & Zin, M. M. (2016). Moderation of meaningful work on the relationship of supervisor support and coworker support with work engagement. The Journal of Business, Economics, and Environmental Studies, 6(3), 15-20. https://doi.org/10.13106/eajbm.2016.vol6.no3.15   DOI
28 Al Shbail, M., Salleh, Z., & Mohd Nor, M. (2018). The effect of ethical tension and time pressure on job burnout and premature sign-off. Journal of Business and Retail Management Research, 12(4), 43-53. https://doi.org/10.24052/JBRMR/V12IS04/ART-05   DOI
29 Al Shbail, M., Salleh, Z., & Nor, M. (2018). Antecedents of burnout and its relationship to internal audit quality. Business and Economic Horizons, 14(4), 789-817. https://doi.org/10.22004/ag.econ.287230   DOI
30 Abdullah, F., & Ward, R. (2016). Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors. Computers in Human Behavior, 56, 238-256. https://doi.org/10.1016/j.chb.2015.11.036   DOI
31 Ali, O., & Osmanaj, V. (2020). The role of government regulations in the adoption of cloud computing: A case study of local government. Computer Law & Security Review, 96, In press. https://doi.org/10.1016/j.clsr.2020.105396   DOI
32 Alkhater, N., Walters, R., & Wills, G. (2018). An empirical study of factors influencing cloud adoption among private sector organisations. Telematics and Informatics, 35(1), 38-54. https://doi.org/10.1016/j.tele.2017.09.017   DOI
33 Almaiah, M. A., Jalil, M. A., & Man, M. (2016). Extending the TAM to examine the effects of quality features on mobile learning acceptance. Journal of Computers in Education, 3(4), 453-485. https://doi.org/10.1007/s40692-016-0074-1   DOI
34 Asatiani, A., Apte, U., Penttinen, E., Ronkko, M., & Saarinen, T. (2019). Impact of accounting process characteristics on accounting outsourcing-Comparison of users and non-users of cloud-based accounting information systems. International Journal of Accounting Information Systems, 34, 1-18. https://doi.org/10.1016/j.accinf.2019.06.002   DOI
35 Ambarwati, R., Astuti, M., & Dijaya, R. (2020). Strengthening the intention to use vehicle tax service online in Indonesia. Distribution Science Research, 18(5), 25-33. https://www.dbpia.co.kr/Journal/articleDetail?nodeId=NODE09386084#
36 Agustina, N., & Pramana, S. (2019). The impact of development and government expenditure for information and communication technology on Indonesian economic growth. The Journal of Business Economics and Environmental Studies, 9(4), 5-13. https://doi.org/10.13106/jbees.2019.vol9.no4.5   DOI
37 Arpaci, I. (2017). Antecedents and consequences of cloud computing adoption in education to achieve knowledge management. Computers in Human Behavior, 70, 382-390. https://doi.org/10.1016/j.chb.2017.01.024   DOI
38 Attaran, M., & Woods, J. (2019). Cloud computing technology: improving small business performance using the Internet. Journal of Small Business Entrepreneurship, 31(6), 495-519. https://doi.org/10.1080/08276331.2018.1466850   DOI
39 Awa, H. O., Ukoha, O., & Igwe, S. R. (2017). Revisiting technology-organization-environment (TOE) theory for enriched applicability. The Bottom Line, 30(1), 2-22. https://doi.org/10.1108/BL-12-2016-0044   DOI
40 Bhoir, H., & Principal, R. (2014). Cloud computing for supply chain management. International Journal of Innovations in Engineering Research and Technology, 1(2), 1-9.
41 Chow, M., Herold, D. K., Choo, T.-M., & Chan, K. (2012). Extending the technology acceptance model to explore the intention to use Second Life for enhancing healthcare education. Computers & Education, 59(4), 1136-1144. https://doi.org/10.1016/j.compedu.2012.05.011   DOI
42 Chin, W. W. (2010). How to write up and report PLS analyses. In V. E. Vinzi, W. W. Chin, J. Henseler, & H. Wang (Eds.), Handbook of partial least squares (pp. 655-690), Berlin: Springer.
43 Chiregi, M., & Navimipour, N. J. (2018). Cloud computing and trust evaluation: A systematic literature review of the state-of-the-art mechanisms. Journal of Electrical Systems and Information Technology, 5(3), 608-622. https://doi.org/10.1016/j.jesit.2017.09.001   DOI
44 Choi, C., Kim, C., & Kim, C. (2019). Towards Sustainable Environmental Policy and Management in the Fourth Industrial Revolution: Evidence from Big Data Analytics. Journal of Asian Finance, Economics and Business, 6(3), 185-192. https://doi.org/10.13106/jafeb.2019.vol6.no3.185   DOI
45 Cleary, P. (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. https://doi:10.1108/JIC-06-2015-0058   DOI
46 Cohen, J. (1988). Statistical power analysis for the behavioral sciencies. London, UK: Routledge.
47 Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982   DOI
48 Deegan, C. (2017). Twenty five years of social and environmental accounting research within Critical Perspectives of Accounting: Hits, misses and ways forward. Critical Perspectives on Accounting, 43, 65-87. https://doi.org/10.1016/j.cpa.2016.06.005   DOI
49 DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of Management Information Systems, 19(4), 9-30. https://doi.org/10.1080/07421222.2003.11045748   DOI
50 DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95. https://doi.org/10.1287/isre.3.1.60   DOI
51 DeLone, W. H., & Mclean, E. R. (2004). Measuring e-commerce success: Applying the DeLone & McLean information systems success model. International Journal of Electronic Commerce, 9(1), 31-47. https://doi.org/10.1080/10864415.2004.11044317   DOI
52 Effendi, M. I., Sugandini, D., Istanto, Y., Van Dat, T., & Le, N. M. T. (2020). Social Media Adoption in SMEs Impacted by COVID-19: The TOE Model. Journal of Asian Finance, Economics and Business, 7(11), 915-925. https://doi.org/10.13106/jafeb.2020.vol7.no11.915   DOI
53 El-dalabeeh, A. E. R. K. (2019). The Impact of Accounting Information Systems Development on Improving E-Commerce in the Jordanian Public Shareholding Industrial Companies. Academy of Accounting and Financial Studies Journal, 23(2), 1-11. https://www.abacademies.org/articles/The-Impactof-Accounting-Information-Systems-Development-onImproving-E-Commerce-1528-2635-23-2-377.pdf
54 Ferri, L., Spano, R., & Tomo, A. (2019). Cloud computing in high tech startups: evidence from a case study. Technology Analysis Strategic Management, 32(2), 146-157. https://doi.org/10.1080/09537325.2019.1641594   DOI
55 Fu, J., Zhang, Z., & Lyu, D. (2019). Research and application of information service platform for agricultural economic cooperation organization based on Hadoop cloud computing platform environment: taking agricultural and fresh products as an example. Cluster Computing, 22(6), 14689-14700. https://doi.org/10.1007/s10586-018-2380-z   DOI
56 Hair, J., F, Hult, G., Ringle, C., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed). Thousand Oaks. CA: Sage Publications.
57 Gangwar, H., Date, H., & Ramaswamy, R. (2015). Understanding determinants of cloud computing adoption using an integrated TAM-TOE model. Journal of Enterprise Information Management, 28(1), 107-130. https://doi.org/10.1108/JEIM08-2013-0065   DOI
58 Gupta, P., Seetharaman, A., & Raj, J. R. (2013). The usage and adoption of cloud computing by small and medium businesses. International Journal of Information Management, 33(5), 861-874. https://doi.org/10.1016/j.ijinfomgt.2013.07.001   DOI
59 Ha, S., Youn, S., & Moon, J. (2020). Emotional Leadership, Leader Legitimacy, and Work Engagement in Retail Distribution Industry. The Journal of Distribution Science, 18(7), 27-36. http://dx.doi.org/10.15722/jds.18.7.202007.27   DOI
60 Hair, J., F, Money, A. H., Samouel, P., & Page, M. (2007). Research methods for business. Education & Training, 49(4), 336-337. https://doi.org/10.1108/et.2007.49.4.336.2   DOI
61 Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203   DOI
62 Hapsari, R. (2017). The impact of service quality, customer engagement and selected marketing constructs on airline passenger loyalty. International Journal of Quality and Service Sciences, 9(1), 21-40. https://doi:10.1108/IJQSS-07-2016-0048   DOI
63 Henseler, Ringle, C., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8   DOI
64 Kim, W., Huh, M. Y., Lee, S. P., & Shin, H. K. (2019). A Study of Healthcare Management and Technology in Asia: Focused Analysis on South Korea, China and Japan. The Journal of Industrial Distribution & Business, 10(3), 17-23. https://doi.org/10.13106/ijidb.2019.vol10.no3.17   DOI
65 Hsu, C.-L., & Lin, J. C.-C. (2016). Factors affecting the adoption of cloud services in enterprises. Information Systems and e-Business Management, 14(4), 791-822. https://doi.org/10.1007/s10257-015-0300-9   DOI
66 Hwang, H., Sarstedt, M., Cheah, J. H., & Ringle, C. M. (2020). A concept analysis of methodological research on compositebased structural equation modeling: bridging PLSPM and GSCA. Behaviormetrika, 47(1), 219-241. https://doi.org/10.1007/s41237-019-00085-5   DOI
67 Joreskog, K. G., & Wold, H. (1982). The ML and PLS techniques for modeling with latent variables: historical and comparative aspects. Systems under Indirect Observation, 1, 263-270. https://ci.nii.ac.jp/naid/10011543616/en/
68 Kim, Y. (2018). A Design of Human Cloud Platform Framework for Human Resources Distribution of e-Learning Instructional Designer. The Journal of Distribution Science, 16(7), 67-75. https://doi.org/10.15722/jds.16.7.201807.67   DOI
69 Khayer, A., Talukder, M. S., Bao, Y., & Hossain, M. N. (2020). Cloud computing adoption and its impact on SMEs'performance for cloud supported operations: A dual-stage analytical approach. Technology in Society, 60. https://doi.org/10.1016/j.techsoc.2019.101225   DOI
70 Kyriakou, N., & Loukis, E. N. (2019). Do strategy, processes, personnel and technology affect firm's propensity to adopt cloud computing? Journal of Enterprise Information Management, 32(3), 517-534. https://doi.org/10.1108/JEIM-06-2017-0083   DOI
71 Laudien, S. M., & Pesch, R. (2019). Understanding the influence of digitalization on service firm business model design: a qualitative-empirical analysis. Review of Managerial Science, 13(3), 575-587. https://doi.org/10.1007/s11846-018-0320-1   DOI
72 Labati, R. D., Genovese, A., Piuri, V., Scotti, F., & Vishwakarma, S. (2020). Computational Intelligence in Cloud Computing. In Recent Advances in Intelligent Engineering (pp. 111-127): Springer.
73 Lakhwani, M., Dastane, O., Satar, N. S. M., & Johari, Z. (2020). The Impact of Technology Adoption on Organizational Productivity. The Journal of Industrial Distribution & Business, 11(4), 7-18. https://doi.org/10.13106/jidb.2020.vol11.no4.7   DOI
74 Lal, P., & Bharadwaj, S. S. (2016). Understanding the impact of cloud-based services adoption on organizational flexibility. Journal of Enterprise Information Management, 29(4), 566-588. https://doi.org/10.1108/JEIM-04-2015-0028   DOI
75 Lee, J. H., Wu, R., & Fan, L. (2017). Influence on the Use Intention of User's Traits in China Market. The Journal of Business Economics and Environmental Studies, 7(2), 21-29. https://doi.org/10.13106/eajbm.2017.vol7.no2.21JEIM-06-2017-0083   DOI
76 Lin, H.-F. (2010). An investigation into the effects of IS quality and top management support on ERP system usage. Total Quality Management & Business Excellence, 21(3), 335-349. https://doi:10.1080/14783360903561761   DOI
77 Low, C., Chen, Y., & Wu, M. (2011). Understanding the determinants of cloud computing adoption. Industrial Management & Data Systems, 111(7), 1006-1023. https://doi.org/10.1108/02635571111161262   DOI
78 MacKenzie, S. B., & Podsakoff, P. M. (2012). Common method bias in marketing: causes, mechanisms, and procedural remedies. Journal of Retailing, 88(4), 542-555. https://doi.org/10.1016/j.jretai.2012.08.001   DOI
79 Njenga, K., Garg, L., Bhardwaj, A. K., Prakash, V., & Bawa, S. (2019). The cloud computing adoption in higher learning institutions in Kenya: Hindering factors and recommendations for the way forward. Telematics and Informatics, 38, 225-246. https://doi.org/10.1016/j.tele.2018.10.007   DOI
80 Mohammadi, H. (2015). Investigating users'perspectives on e-learning: An integration of TAM and IS success model. Computers in Human Behavior, 45, 359-374. https://doi.org/10.1016/j.chb.2014.07.044   DOI
81 Novais, L., Maqueira, J. M., & Ortiz-Bas, A. (2019). A systematic literature review of cloud computing use in supply chain integration. Computers & Industrial Engineering, 129, 296-314. https://doi.org/10.1016/j.cie.2019.01.056   DOI
82 Obeid, M., Salleh, Z., & Mohd Nor, M. (2017). The mediating effect of job satisfaction on the relationship between personality traits and premature sign-off. Academy of Accounting and Financial Studies Journal, 21(2), 1-17. https://www.abacademies.org/articles/the-mediating-effect-of-job-satisfaction-on-therelationship-between-personality-traits-and-premature-signoff1528-2635-21-2-102.pdf
83 Oliveira, T., Martins, R., Sarker, S., Thomas, M., & Popovic, A. (2019). Understanding SaaS adoption: The moderating impact of the environment context. International Journal of Information Management, 49, 1-12. https://doi.org/10.1016/j.ijinfomgt.2019.02.009   DOI
84 Oliveira, T., Thomas, M., & Espadanal, M. (2014). Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors. Information & Management, 51(5), 497-510. https://doi.org/10.1016/j.im.2014.03.006   DOI
85 Park, H. Y. (2020). A Study on the Customer Attitudes toward the Airport IT Service: Focusing on Handling Process and Acceptance Intention. The Journal of Distribution Science, 18(1), 27-34. https://doi.org/10.15722/jds.18.1.202001.27   DOI
86 Pai, F.-Y., & Huang, K.-I. (2011). Applying the technology acceptance model to the introduction of healthcare information systems. Technological Forecasting and Social Change, 78(4), 650-660. https://doi.org/10.1016/j.techfore.2010.11.007   DOI