ADVANCES IN BUSINESS PROCESS AUTOMATION: LOW-CODE PLATFORMS AND ENTERPRISE APPLICATIONS
DOI:
https://doi.org/10.69980/ecmckf46Keywords:
Business Process Automation, Low-Code Platforms, Digital Transformation, Intelligent Automation, Enterprise ApplicationsAbstract
The automation of business processes (BPA) is among the key contributing factors of digital transformation that will assist in making an organization more efficient, cost-effective and maximize the value of decision-making. With the appearance of low-code solutions, the world of automation systems has shifted once again, since these systems can now be developed quickly and with little knowledge of programming. This research paper tries to explain in details how BPA has evolved especially focusing on how low-code development platforms are becoming relevant and their utilisation in enterprise systems. Reviewing will be done systematically using existing literature on automation systems, workflows models and intelligent systems. The current research will touch upon the background theories and automation plans, along with discussing real-life uses of platforms in industries. Moreover, intelligent automation and artificial intelligence will be discussed in order to shed light on the latest technological trends. As a result, the findings show that low-code development can significantly improve the flexibility and accessibility of automation systems despite the challenges associated with integration, governance and complexity of the system. Moreover, research gaps identified throughout the investigation are crucial for further research in this field.
References
1.Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of business research, 122, 889-901.
2.Lacity, M., & Willcocks, L. (2016). Paper 16/01 Robotic Process Automation: The Next Transformation Lever for Shared Services. Retrieved from The Outsourcing Unit, LSE: http://www. umsl. edu/lacitym.
3.Dumas, M., La Rosa, M., Mendling, J., & Reijers, H. A. (2013). Fundamentals of business process management (Vol. 1, p. 2). Heidelberg: Springer.
4.Davenport, T. H. (2014). Process management for knowledge work. In Handbook on business process management 1: Introduction, methods, and information systems (pp. 17-35). Berlin, Heidelberg: Springer Berlin Heidelberg.
5.Bock, A. C., & Frank, U. (2021). Low-code platform. Business & Information Systems Engineering, 63(6), 733-740.
6.Vial, G. (2021). Understanding digital transformation: A review and a research agenda. Managing digital transformation, 13-66.
7.Kane, G. C., Palmer, D., Phillips, A. N., Kiron, D., & Buckley, N. (2015). Strategy, not technology, drives digital transformation. MIT Sloan management review.
8.Matt, C., Hess, T., & Benlian, A. (2015). Digital transformation strategies. Business & information systems engineering, 57(5), 339-343.
9.Nerbel, J. F., & Kreutzer, M. (2023). Digital platform ecosystems in flux: From proprietary digital platforms to wide-spanning ecosystems. Electronic Markets, 33, Article 6.
10.Hofbauer, G., & Maier, D. (2022). Success factors of platform business models in times of artificial intelligence. International Journal of Public Administration, Management and Economic Development, 7(2), 43-55.
11.Desmond, M., Duesterwald, E., Isahagian, V., & Muthusamy, V. (2022). A no-code low-code paradigm for authoring business automations using natural language. arXiv preprint arXiv:2207.10648.
12.Cabot, J., & Clarisó, R. (2022). Low code for smart software development. IEEE Software, 40(1), 89-93.
13.Ihirwe, F., Di Ruscio, D., Mazzini, S., Pierini, P., & Pierantonio, A. (2020, October). Low-code engineering for Internet of things: A state of research. In ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS Companion) (pp. 1-8).
14.Haleem, A., Javaid, M., Singh, R. P., Rab, S., & Suman, R. (2021). Hyperautomation for the enhancement of automation in industries. Sensors International, 2, 100124.
15.van Der Aalst, W. M., Ter Hofstede, A. H., Kiepuszewski, B., & Barros, A. P. (2003). Workflow patterns. Distributed and parallel databases, 14(1), 5-51.
16.Van der Aalst, W. M., Barros, A. P., Ter Hofstede, A. H., & Kiepuszewski, B. (2000, September). Advanced workflow patterns. In International Conference on Cooperative Information Systems (pp. 18-29). Berlin, Heidelberg: Springer Berlin Heidelberg.
17.Frank, U., Maier, P., & Bock, A. (2021). Low code platforms: Promises, concepts and prospects. A comparative study of ten systems (No. 70). ICB-research report.
18.Krishnaraj, N., Vidhya, R., Shankar, R., & Shruthi, N. (2022, July). Comparative study on various low code business process management platforms. In 2022 International Conference on Inventive Computation Technologies (ICICT) (pp. 591-596). IEEE.
19.Upadhyaya, N. (2023). Low-Code/No-Code platforms and their impact on traditional software development: A literature review. No-Code Platforms and Their Impact on Traditional Software Development: A Literature Review (March 21, 2023).
20.Dumas, M., Fournier, F., Limonad, L., Marrella, A., Montali, M., Rehse, J. R., ... & Weber, I. (2023). AI-augmented business process management systems: a research manifesto. ACM Transactions on Management Information Systems, 14(1), 1-19.
21.Beheshti, A., Yang, J., Sheng, Q. Z., Benatallah, B., Casati, F., Dustdar, S., Motahari Nezhad, H. R., Zhang, X., & Xue, S. (2023). ProcessGPT: Transforming business process management with generative artificial intelligence. In 2023 IEEE International Conference on Web Services (ICWS 2023) (pp. 731-739). IEEE.
22.Juhás, G., Molnár, L., Juhásová, A., Ondrišová, M., Mladoniczky, M., & Kováčik, T. (2022, October). Low-code platforms and languages: the future of software development. In 2022 20th International Conference on Emerging eLearning Technologies and Applications (ICETA) (pp. 286-293). IEEE.
23.Rao, N., Tsay, J., Kate, K., Hellendoorn, V. J., & Hirzel, M. (2023). AI for low-code for AI. arXiv preprint arXiv:2305.20015.
24.Oteyo, I. N., Scull Pupo, A. L., Zaman, J., Kimani, S., De Meuter, W., & Gonzalez Boix, E. (2023). Easing construction of smart agriculture applications using low code development tools. In Mobile and Ubiquitous Systems: Computing, Networking and Services (pp. 21-43). Springer.
25.Nosova, S., Norkina, A., Makar, S., Gerasimenko, T., & Medvedeva, O. (2022). Artificial intelligence as a driver of business process transformation. Procedia Computer Science, 213, 276-284.
26.Hein, A., Schreieck, M., Riasanow, T., Setzke, D. S., Wiesche, M., Bohm, M., & Krcmar, H. (2020). Digital platform ecosystems. Electronic Markets, 30(1), 87-98.
27.Brás, J., Pereira, R., & Moro, S. (2023). Intelligent process automation and business continuity: Areas for future research. Information, 14(2), 122.
28.Lievano-Martínez, F. A., Fernández-Ledesma, J. D., Burgos, D., Branch-Bedoya, J. W., & Jimenez-Builes, J. A. (2022). Intelligent process automation: An application in manufacturing industry. Sustainability, 14(14), 8804.
29.Nunes, T., Leite, J., & Pedrosa, I. (2020, June). Intelligent process automation: An overview over the future of auditing. In 2020 15th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1-5). IEEE.
