Main Article Content

Abstract

The purpose of this research is to investigate the factors that influence the adoption of cloud accounting, including relative benefit, complexity, support from top management, organizational preparedness, competitive pressure, bandwagon effect, computer self-efficacy, and computer anxiety., as well as its impact on MSME performance in Kendal Regency. The study in question takes a quantitative approach and makes use of primary data gathered via the use of questionnaires.  A purposive sampling method was used to pick 250 respondents from micro, small, and medium-sized enterprises (MSMEs) in the Kendal Regency.  The research makes use of the Structural Equation Modeling (SEM) technique in conjunction with the Partial Least Squares (PLS) methodology. According to the findings, the adoption of cloud accounting is favorably influenced by factors including as support from senior management, competitive pressure, the bandwagon effect, and user confidence in their ability to use IT.  The implementation of cloud accounting has a favorable and substantial influence on the performance of micro, little, and medium-sized enterprises (MSME).  With that being said, relative advantage, complexity, organizational readiness, and computer anxiety negatively influence cloud accounting adoption. This research makes a contribution to the TOE framework by highlighting the significance of technical, organizational, and environmental factors readiness alongside individual support in adopting cloud accounting to improve MSME performance. Practically, the Kendal Regency government is expected to take a more active role in providing stimuli regarding the importance of digital transformation to enhance MSME performance.

Keywords

TOE Framework Cloud Accounting Adoption MSME Performance Computer Self-Efficacy Computer Anxiety

Article Details

How to Cite
Andanawarih, P. P., Mila, S., & Novitaningrum, D. (2026). Antecedents of Cloud Accounting Adoption and Its Consequences on SME Performance: A TOE Framework Approach. Amkop Management Accounting Review (AMAR), 6(1), 463–481. https://doi.org/10.37531/amar.v6i1.3577

References

  1. Abed, S. S. (2020). Social commerce adoption using TOE framework: An empirical investigation of Saudi Arabian SMEs. International journal of information management, 53, 102118. https://doi.org/10.1016/j.ijinfomgt.2020.102118
  2. Ahmad, N., Mobarek, A., & Roni, N. N. (2021). Revisiting the impact of ESG on financial performance of FTSE350 UK firms: Static and dynamic panel data analysis. Cogent Business & Management, 8(1), 1900500. https://doi.org/10.1080/23311975.2021.1900500
  3. Ahmad, S. Z., Abu Bakar, A. R., & Ahmad, N. (2019). Social media adoption and its impact on firm performance: the case of the UAE. International Journal of Entrepreneurial Behavior & Research, 25(1), 84-111. https://doi.org/10.1108/IJEBR-08-2017-0299
  4. Al-Sharafi, M. A., Iranmanesh, M., Al-Emran, M., Alzahrani, A. I., Herzallah, F., & Jamil, N. (2023). Determinants of cloud computing integration and its impact on sustainable performance in SMEs: An empirical investigation using the SEM-ANN approach. Heliyon, 9(5). https://doi.org/10.1016/j.heliyon.2023.e16299
  5. AlBar, A. M., & Hoque, M. R. (2019). Factors affecting cloud ERP adoption in Saudi Arabia: An empirical study. Information Development, 35(1), 150-164. https://doi.org/10.1177/0266666917735677
  6. Aligarh, F., Sutopo, B., & Widarjo, W. (2023). The antecedents of cloud computing adoption and its consequences for MSMEs’ performance: A model based on the Technology-Organization-Environment (TOE) framework. Cogent Business & Management, 10(2), 2220190. https://doi.org/10.1080/23311975.2023.2220190
  7. 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
  8. Alsetoohy, O., Ayoun, B., Arous, S., Megahed, F., & Nabil, G. (2019). Intelligent agent technology: what affects its adoption in hotel food supply chain management? Journal of Hospitality and Tourism Technology, 10(3), 286-310. https://doi.org/10.1108/JHTT-01-2018-0005
  9. Alsharari, N. M., Al-Shboul, M., & Alteneiji, S. (2020). Implementation of cloud ERP in the SME: evidence from UAE. Journal of Small Business and Enterprise Development, 27(2), 299-327. https://doi.org/10.1108/JSBED-01-2019-0007
  10. AlSharji, A., Ahmad, S. Z., & Abu Bakar, A. R. (2018). Understanding social media adoption in SMEs: Empirical evidence from the United Arab Emirates. Journal of Entrepreneurship in Emerging Economies, 10(2), 302-328. https://doi.org/10.1108/JEEE-08-2017-0058
  11. Alshirah, M., Lutfi, A., Alshirah, A., Saad, M., Ibrahim, N., & Mohammed, F. (2021). Influences of the environmental factors on the intention to adopt cloud based accounting information system among SMEs in Jordan. Accounting, 7(3), 645-654. https://doi.org/10.5267/j.ac.2020.12.013
  12. Ammar, A., & Ahmed, E. M. (2016). Factors influencing Sudanese microfinance intention to adopt mobile banking. Cogent Business & Management, 3(1), 1154257. https://doi.org/10.1080/23311975.2016.1154257
  13. Andanawarih, P. P., Hasanah, A., & Mila, S. (2024). Moderating effects of SRI-KEHATI on the ESG-corporate value nexus [Keywords ESG, Diveden Yield, Corporate Value, SRI-KEHATI]. 2024, 7(2), 12. https://doi.org/10.14710/dijb.7.2.2024.191-202
  14. Awa, H. O., & Ojiabo, O. U. (2016). A model of adoption determinants of ERP within TOE framework. Information Technology & People, 29(4), 901-930. https://doi.org/10.1108/ITP-03-2015-0068
  15. Ayoobkhan, A. L. M., & Asirvatham, D. (2017). Adoption of cloud computing services in healthcare sectors: special attention to private hospitals in Colombo district, Sri Lanka.
  16. Dadhich, M., & Hiran, K. K. (2022). Empirical investigation of extended TOE model on Corporate Environment Sustainability and dimensions of operating performance of SMEs: A high order PLS-ANN approach. Journal of Cleaner Production, 363, 132309. https://doi.org/10.1016/j.jclepro.2022.132309
  17. Eze, S. C., Chinedu-Eze, V. C., & Bello, A. O. (2021). Some antecedent factors that shape SMEs adoption of social media marketing applications: a hybrid approach. Journal of Science and Technology Policy Management, 12(1), 41-61. https://doi.org/10.1108/JSTPM-06-2019-0063
  18. Fiddin, F. F., & Arief, M. (2022). Pengaruh Computer Anxiety, Computer Attitude, Dan Computer Self Efficacy, Kondisi Yang Memfasilitasi Pemakai, Dan Faktor Sosial Terhadap Minat Mahasiswa Komputerisasi Akuntansi Menggunakan Software Akuntansi. AKUA: Jurnal Akuntansi Dan Keuangan, 1(1), 86-94. https://doi.org/10.54259/akua.v1i1.182
  19. Garrison, G., Wakefield, R. L., & Kim, S. (2015). The effects of IT capabilities and delivery model on cloud computing success and firm performance for cloud supported processes and operations. International journal of information management, 35(4), 377-393. https://doi.org/10.1016/j.ijinfomgt.2015.03.001
  20. Gui, A., Fernando, Y., Shaharudin, M. S., Mokhtar, M., & Karmawan, I. G. M. (2021). Drivers of cloud computing adoption in small medium enterprises of Indonesia creative industry. JOIV: International Journal on Informatics Visualization, 5(1), 69-75. https://doi.org/10.30630/joiv.5.1.461
  21. Gupta, S., Ghardallou, W., Pandey, D. K., & Sahu, G. P. (2022). Artificial intelligence adoption in the insurance industry: Evidence using the technology–organization–environment framework. Research in international business and finance, 63, 101757. https://doi.org/10.1016/j.ribaf.2022.101757
  22. Haddara, M., & Elragal, A. (2013). ERP adoption cost factors identification and classification: a study in SMEs. International Journal of Information Systems and Project Management, 1(2), 5-21. https://doi.org/10.12821/ijispm010201
  23. Jayeola, O., Sidek, S., Abd Rahman, A., Mahomed, A. S. B., & Hu, J. (2022). Cloud computing adoption in small and medium enterprises (SMEs): A systematic literature review and directions for future research. International Journal of Business and Society, 23(1), 226-243. https://doi.org/10.33736/ijbs.4610.2022
  24. Kansal, S., Singh, G., Kumar, H., & Kaushal, S. (2014). Pricing models in cloud computing. Proceedings of the 2014 international conference on information and communication technology for competitive strategies,
  25. Kharuddin, S., Foong, S.-Y., & Senik, R. (2015). Effects of decision rationality on ERP adoption extensiveness and organizational performance. Journal of Enterprise Information Management, 28(5), 658-679. https://doi.org/10.1108/JEIM-02-2014-0018
  26. Khayer, A., Jahan, N., Hossain, M. N., & Hossain, M. Y. (2021). The adoption of cloud computing in small and medium enterprises: a developing country perspective. VINE Journal of Information and Knowledge Management Systems, 51(1), 64-91. https://doi.org/10.1108/VJIKMS-05-2019-0064
  27. Kulkarni, H., Mahadik, I., Kolhe, S., Lene, O., & Lade, P. (2025). Adoption of Cloud Computing in Small and Medium Enterprises (SMEs). Available at SSRN 5219261. https://doi.org/10.2139/ssrn.5219261
  28. Lai, Y., Sun, H., & Ren, J. (2018). Understanding the determinants of big data analytics (BDA) adoption in logistics and supply chain management: An empirical investigation. The International Journal of Logistics Management, 29(2), 676-703. https://doi.org/10.1108/IJLM-06-2017-0153
  29. Leung, D., & Dickinger, A. (2017). Use of bitcoin in online travel product shopping: the European perspective. Information and Communication Technologies in Tourism 2017: Proceedings of the International Conference in Rome, Italy, January 24-26, 2017,
  30. Lin, Y.-T., MacInnis, D. J., & Eisingerich, A. B. (2020). Strong anxiety boosts new product adoption when hope is also strong. Journal of marketing, 84(5), 60-78. https://doi.org/10.1177/0022242920934495
  31. 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
  32. Lutfi, A., Al-Okaily, M., Alsyouf, A., Alsaad, A., & Taamneh, A. (2025). The impact of AIS usage on AIS effectiveness among Jordanian SMEs: A multi-group analysis of the role of firm size. Global Business Review, 26(2), 538-556. https://doi.org/10.1177/0972150920965079
  33. Maduku, D. K., Mpinganjira, M., & Duh, H. (2016). Understanding mobile marketing adoption intention by South African SMEs: A multi-perspective framework. International journal of information management, 36(5), 711-723. https://doi.org/10.1016/j.ijinfomgt.2016.04.018
  34. Maksum, I. R., Rahayu, A. Y. S., & Kusumawardhani, D. (2020). A social enterprise approach to empowering micro, small and medium enterprises (SMEs) in Indonesia. Journal of Open Innovation: Technology, Market, and Complexity, 6(3), 50. https://doi.org/10.3390/joitmc6030050
  35. Maroufkhani, P., Tseng, M.-L., Iranmanesh, M., Ismail, W. K. W., & Khalid, H. (2020). Big data analytics adoption: Determinants and performances among small to medium-sized enterprises. International journal of information management, 54, 102190. https://doi.org/10.1016/j.ijinfomgt.2020.102190
  36. Mujalli, A., Wani, M. J. G., Almgrashi, A., Khormi, T., & Qahtani, M. (2024). Investigating the factors affecting the adoption of cloud accounting in Saudi Arabia's small and medium-sized enterprises (SMEs). Journal of Open Innovation: Technology, Market, and Complexity, 10(2), 100314. https://doi.org/10.1016/j.joitmc.2024.100314
  37. Neicu, A.-I., Radu, A.-C., Zaman, G., Stoica, I., & Răpan, F. (2020). Cloud computing usage in SMEs. An empirical study based on SMEs employees perceptions. Sustainability, 12(12), 4960. https://doi.org/10.3390/su12124960
  38. Nguyen, T. H., Le, X. C., & Vu, T. H. L. (2022). An extended technology-organization-environment (TOE) framework for online retailing utilization in digital transformation: Empirical evidence from Vietnam. Journal of Open Innovation: Technology, Market, and Complexity, 8(4), 200. https://doi.org/10.3390/joitmc8040200
  39. Oliveira, T., & Martins, M. F. (2010). Understanding e‐business adoption across industries in European countries. Industrial management & data systems, 110(9), 1337-1354. https://doi.org/10.1108/02635571011087428
  40. Qalati, S. A., Yuan, L. W., Khan, M. A. S., & Anwar, F. (2021). A mediated model on the adoption of social media and SMEs’ performance in developing countries. Technology in Society, 64, 101513. https://doi.org/10.1016/j.techsoc.2020.101513
  41. Rahi, S., Khan, M. M., & Alghizzawi, M. (2021). Factors influencing the adoption of telemedicine health services during COVID-19 pandemic crisis: an integrative research model. Enterprise Information Systems, 15(6), 769-793. https://doi.org/10.1080/17517575.2020.1850872
  42. Ray, P. P. (2016). A survey of IoT cloud platforms. Future Computing and Informatics Journal, 1(1-2), 35-46. https://doi.org/10.1016/j.fcij.2017.02.001
  43. Ruivo, P., Oliveira, T., & Neto, M. (2014). Examine ERP post-implementation stages of use and value: Empirical evidence from Portuguese SMEs. International journal of accounting information systems, 15(2), 166-184. https://doi.org/10.1016/j.accinf.2014.01.002
  44. Salimon, M. G., Kareem, O., Mokhtar, S. S. M., Aliyu, O. A., Bamgbade, J. A., & Adeleke, A. Q. (2023). Malaysian SMEs m-commerce adoption: TAM 3, UTAUT 2 and TOE approach. Journal of Science and Technology Policy Management, 14(1), 98-126. https://doi.org/10.1108/JSTPM-06-2019-0060
  45. Saraswat, J. K., & Choudhari, S. (2025). Integrating big data and cloud computing into the existing system and performance impact: A case study in manufacturing. Technological forecasting and social change, 210, 123883. https://doi.org/10.1016/j.techfore.2024.123883
  46. Tajudeen, F. P., Jaafar, N. I., & Ainin, S. (2018). Understanding the impact of social media usage among organizations. Information & management, 55(3), 308-321. https://doi.org/10.1016/j.im.2017.08.004
  47. Tak, P., & Gupta, M. (2021). Examining travel mobile app attributes and its impact on consumer engagement: An application of SOR framework. Journal of Internet Commerce, 20(3), 293-318. https://doi.org/10.1080/15332861.2021.1891517
  48. Trawnih, A., Yaseen, H., Al-Adwan, A. S., Alsoud, R., & Jaber, O. A. (2021). Factors influencing social media adoption among smes during Covid-19 crisis. Journal of Management Information and Decision Sciences, 24(6), 1-18.
  49. 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
  50. Yang, K., & Forney, J. C. (2013). The moderating role of consumer technology anxiety in mobile shopping adoption: Differential effects of facilitating conditions and social influences. Journal of Electronic Commerce Research, 14(4), 334.
  51. Yaseen, H., Al-Adwan, A. S., Nofal, M., Hmoud, H., & Abujassar, R. S. (2023). Factors influencing cloud computing adoption among SMEs: The Jordanian context. Information Development, 39(2), 317-332. https://doi.org/10.1177/0266666921104791
  52. Yuan, S., Liu, L., Su, B., & Zhang, H. (2020). Determining the antecedents of mobile payment loyalty: Cognitive and affective perspectives. Electronic Commerce Research and Applications, 41, 100971. https://doi.org/10.1016/j.elerap.2020.100971

Similar Articles

<< < 2 3 4 5 6 7 8 9 10 11 > >> 

You may also start an advanced similarity search for this article.