The Role of Cloud Computing and Artificial Intelligence Technologies on Cost Management in Smart Manufacturing: An Innovative Approach in Management Accounting

Authors

  • Rasha Jasim Ahmed Ebraheem Alobaidy University of al Iraqia

DOI:

https://doi.org/10.54066/ijmre-itb.v2i4.2447

Keywords:

Cloud Computing, Artificial Intelligence, Cost Management, Smart Manufacturing, Management Accounting

Abstract

This work investigated how artificial intelligence (AI) and cloud computing are related to cost control in smart manufacturing. It aims to show how these technologies improve manufacturing environments' decision-making and cost efficiency for better management accounting. The study thoroughly examined the literature for the qualitative research methodology. The cloud computing benefits from lowering operating costs, the use of AI in predictive maintenance, and the incorporation of these technologies into management accounting systems are only key area and trends from the thematic analysis. According to the results, offering scalable and flexible computing resources enabled companies to quickly adjust to shifting demands of the market, cloud computing greatly reduced costs. Yet, the study also emphasized the difficulties in the management of the resources, such as the possibility of inefficiencies and higher expenses due to inefficient resource distribution. Also, AI technologies enhance the efficiency and accuracy of accounting procedures, freeing up professionals for the concentration on strategic duties such as financial analysis and decision support. The report suggested that to reduce and avoid inefficiencies, businesses should carefully manage their cloud resources. For the improvement of operational efficiency and decision-making, businesses were required to include AI-driven solutions into their management accounting systems. The study also found that enterprises should give priority to implementing cloud computing and AI technologies to stay competitive in the quickly shifting smart manufacturing market. These technologies provide a substantial area for innovation in cost management.

References

Abad-Segura, E., & González-Zamar, M. D. (2020). Research analysis on emerging technologies in corporate accounting. Mathematics, 8(9), 1589.

ACCA/IMA. Digital Darwinism: Thriving in the face of technology change. Available online: https://www.accaglobal.com/in/en/technical-activities/technical-resources-search/2013/october/digital-darwinism.html (accessed on 28 March 2022).

Ahn, S., & Jung, H. R. (2018). A study on the role of public officials in local governmental accounting. Korean Gov. Account. Rev, 16, 67-91.

Al-Ali, A. R., Zualkernan, I. A., Rashid, M., Gupta, R., & AliKarar, M. (2017). A smart home energy management system using IoT and big data analytics approach. IEEE Transactions on Consumer Electronics, 63(4), 426-434.

Amershi, S., Cakmak, M., Knox, W. B., & Kulesza, T. (2014). Power to the people: The role of humans in interactive machine learning. AI Magazine, 35(4), 105-120.

Arnold, V. (2018). The changing technological environment and the future of behavioural research in accounting. Accounting & Finance, 58(2), 315-339.

Association of Chartered Certified Accountants. Future Ready: Accountancy Careers in the 2020s. Association of Chartered Certified Accountants: London, UK, 2020; pp. 1–72.

Berikol, B. Z., & Killi, M. (2021). The effects of digital transformation process on accounting profession and accounting education. Ethics and Sustainability in Accounting and Finance, Volume II, 219-231.

Burns, M. B., & Igou, A. (2019). “Alexa, write an audit opinion”: Adopting intelligent virtual assistants in accounting workplaces. Journal of Emerging Technologies in Accounting, 16(1), 81-92.

Carlin, T. (2019). Blockchain and the journey beyond double entry. Australian Accounting Review, 29(2), 305-311.

Chandi, N. (2018). Accounting trends of tomorrow: What you need to know. Forbes. URL: https://www.forbes.com/sites/forbestechcouncil/2018/09/13/accounting-trends-of-tomorrowwhat-you-need-to-know.

Chi, G., Uddin, M. S., Abedin, M. Z., & Yuan, K. (2019). Hybrid model for credit risk prediction: An application of neural network approaches. International Journal on Artificial Intelligence Tools, 28(05), 1950017.

Chieu, T. C., Mohindra, A., Karve, A. A., & Segal, A. (2009, October). Dynamic scaling of web applications in a virtualized cloud computing environment. In 2009 IEEE International Conference on e-Business Engineering (pp. 281-286). IEEE.

Cho, J. S., Ahn, S., & Jung, W. (2018). The impact of artificial intelligence on the audit market. Korean Account. J, 27, 289-330.

Chowdhury, E. K. (2019). Transformation of business model through blockchain technology. The Cost and Management, 47(5), 4-9.

Christauskas, C., & Miseviciene, R. (2012). Cloud–computing based accounting for small to medium sized business. Engineering Economics, 23(1), 14-21.

Cooper, D. J., Ezzamel, M., & Qu, S. Q. (2017). Popularizing a management accounting idea: The case of the balanced scorecard. Contemporary Accounting Research, 34(2), 991-1025.

Damerji, H., & Salimi, A. (2021). Mediating effect of use perceptions on technology readiness and adoption of artificial intelligence in accounting. Accounting Education, 30(2), 107-130.

Dittakavi, R. S. S. (2021). An extensive exploration of techniques for resource and cost management in contemporary cloud computing environments. Applied Research in Artificial Intelligence and Cloud Computing, 4(1), 45-61.

dos Santos, B. L., Suave, R., Ferreira, M. M., & Altoé, S. M. L. (2019). Profissão contábil em tempos de mudança: Implicações do avanço tecnológico nas atividades em um escritório de contabilidade. Revista de Contabilidade & Controladoria, 11(3), 113.

Fiore, M., & Devesas Campos, M. (2013). The algebra of directed acyclic graphs. Computation, Logic, Games, and Quantum Foundations. The Many Facets of Samson Abramsky: Essays Dedicated to Samson Abramsky on the Occasion of His 60th Birthday, 37-51.

Fullana, O., & Ruiz, J. (2021). Accounting information systems in the blockchain era. International Journal of Intellectual Property Management, 11(1), 63-80.

Ghasemi, R., Habibi, H. R., Ghasemlo, M., & Karami, M. (2019). The effectiveness of management accounting systems: Evidence from financial organizations in Iran. Journal of Accounting in Emerging Economies, 9(2), 182-207.

Hidayat, A. T., Dewantara, A. M. D., & Saifullah, S. (2020). The development of website on management information system for e-commerce and services. Jurnal Sisfokom (Sistem Informasi dan Komputer), 9(3), 380-386.

Hosseinzadeh, M., Ghafour, M. Y., Hama, H. K., Vo, B., & Khoshnevis, A. (2020). Multi-objective task and workflow scheduling approaches in cloud computing: A comprehensive review. Journal of Grid Computing, 18(3), 327-356.

Huang, F., & Vasarhelyi, M. A. (2019). Applying robotic process automation (RPA) in auditing: A framework. International Journal of Accounting Information Systems, 35, 100433.

Ionescu, B., Ionescu, I., Tudoran, L., & Bendovschi, A. (2013, June). Traditional accounting vs. cloud accounting. In Proceedings of the 8th International Conference Accounting and Management Information Systems, AMIS (pp. 106-125).

Karajovic, M., Kim, H. M., & Laskowski, M. (2019). Thinking outside the block: Projected phases of blockchain integration in the accounting industry. Australian Accounting Review, 29(2), 319-330.

Kroon, N., do Céu Alves, M., & Martins, I. (2021). The impacts of emerging technologies on accountants’ role and skills: Connecting to open innovation—a systematic literature review. Journal of Open Innovation: Technology, Market, and Complexity, 7(3), 163.

Liu, F., Tong, J., Mao, J., Bohn, R., Messina, J., Badger, L., & Leaf, D. (2011). NIST cloud computing reference architecture. NIST special publication, 500(2011), 1-28.

Liu, J., Pacitti, E., Valduriez, P., & Mattoso, M. (2017). Scientific workflow scheduling with provenance support in multisite cloud. In High Performance Computing for Computational Science–VECPAR 2016: 12th International Conference, Porto, Portugal, June 28-30, 2016, Revised Selected Papers 12 (pp. 206-219). Springer International Publishing.

Liu, J., Pineda, L., Pacitti, E., Costan, A., Valduriez, P., Antoniu, G., & Mattoso, M. (2018). Efficient scheduling of scientific workflows using hot metadata in a multisite cloud. IEEE Transactions on Knowledge and Data Engineering, 31(10), 1940-1953.

Marrone, M., & Hazelton, J. (2019). The disruptive and transformative potential of new technologies for accounting, accountants and accountability: A review of current literature and call for further research. Meditari Accountancy Research, 27(5), 677-694.

Marshall, T. E., & Lambert, S. L. (2018). Cloud-based intelligent accounting applications: Accounting task automation using IBM Watson cognitive computing. Journal of Emerging Technologies in Accounting, 15(1), 199-215.

Masdari, M., & Zangakani, M. (2020). Efficient task and workflow scheduling in inter-cloud environments: Challenges and opportunities. The Journal of Supercomputing, 76(1), 499-535.

Nguyen, T. T., Mia, L., Winata, L., & Chong, V. K. (2017). Effect of transformational-leadership style and management control system on managerial performance. *Journal of Business Research, 70

Published

2024-09-20

How to Cite

Rasha Jasim Ahmed Ebraheem Alobaidy. (2024). The Role of Cloud Computing and Artificial Intelligence Technologies on Cost Management in Smart Manufacturing: An Innovative Approach in Management Accounting. International Journal of Management Research and Economics, 2(4), 428–440. https://doi.org/10.54066/ijmre-itb.v2i4.2447