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IJIET 2024 Vol.14(2): 345-353
doi: 10.18178/ijiet.2024.14.2.2056

Utilizing ChatGPT to Create a Riva-Based Business Process Architecture: The Online Teaching Case Study

Rana Yousef
CIS Department, KASIT, The University of Jordan, Amman, Jordan
Email: rana.yousef@ju.edu.jo (R.Y.)

Manuscript received July 28, 2023; revised September 6, 2023; accepted November 22, 2023; published February 23, 2024

Abstract—A Business Process Architecture (BPA) describes the main processes within an organization and the dynamic relationships between them. One of the methods used to create a business process architecture is called the Riva method. In this paper, we employ ChatGPT to assist domain experts in generating BPAs and expediting the steps that require significant amounts of time and effort. The paper investigates the extent to which ChatGPT can aid in generating a BPA by examining each step of the Riva method through a conversational style and utilizing the online teaching case study. The results from each step were compared to an already-created online teaching business process architecture generated using the traditional Riva method. The results indicated that ChatGPT was helpful in identifying essential business entities, as well as the units of work. Typically, these require multiple meetings and brainstorming activities. However, ChatGPT was unable to generate the final process architecture, despite being provided with the necessary rules and heuristics needed for architecture generation. This limitation was attributed to a lack of contextual understanding, rule ambiguity, and difficulties aligning with business goals.

Keywords—business process architecture, the Riva method, ChatGPT, online teaching process

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Cite: Rana Yousef, "Utilizing ChatGPT to Create a Riva-Based Business Process Architecture: The Online Teaching Case Study," International Journal of Information and Education Technology vol. 14, no. 2, pp. 345-353, 2024.


Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net

 

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