Developing the Business Process Management Performance of an Information System Using the Delphi Study Technique

Conference paper


Abou-Grad, H., Warwick, J. and Desta, A. 2019. Developing the Business Process Management Performance of an Information System Using the Delphi Study Technique. EAI International Conference on Technology, Innovation, Entrepreneurship and Education (2017). Canterbury, UK 11 - 12 Sep 2017 Springer. https://doi.org/10.1007/978-3-030-02242-6_15
AuthorsAbou-Grad, H., Warwick, J. and Desta, A.
TypeConference paper
Abstract

Information systems are used to manage an organisation’s business process management (BPM), its operations and performance. Thus, organisations will benefit from systematic processes for evaluating their business information systems with the aim of developing BPM and business information systems performance. The Delphi Study Technique (DST) is a structured business study technique that can be used as a systematic and interactive assessment process based on controlled feedback from business experts, professionals, or others with relevant experience. The Delphi study technique (also known as the Delphi method) has produced significant achievements in evaluating and improving BPM through identifying BPM values to be used as key indicators. This paper describes the essential stages for measuring the performance of an information system by combining the Delphi method and BPM values to improve an organisation’s business performance. The paper provides examples of the use of DST and discusses empirical results from the published literature.

KeywordsBusiness process management ; Decision development technique; Delphi method ; Delphi study technique ; Information systems performance
Year2019
ConferenceEAI International Conference on Technology, Innovation, Entrepreneurship and Education (2017)
PublisherSpringer
Accepted author manuscript
License
File Access Level
Anyone
Publication dates
Online15 May 2019
Print16 Mar 2019
Publication process dates
Deposited10 May 2023
Journal citationpp. 195-210
ISSN1876-1100
Book titleEAI International Conference on Technology, Innovation, Entrepreneurship and Education: TIE'2017
Book editorReyes-Munoz, A.
Zheng, P.
Crawford, D.
Callaghan, V.
ISBN9783030022419
9783030022426
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-02242-6_15
Web address (URL) of conference proceedingshttps://link.springer.com/book/10.1007/978-3-030-02242-6
Copyright holder© 2019, The Author(s), under exclusive license to Springer Nature Switzerland AG 2019
Permalink -

https://repository.uel.ac.uk/item/8vz7z

Download files


Accepted author manuscript
Developing the BPM Performance of an IS using DST-1stEAI-2017-HA-AcceptedPaperVersion.pdf
License: Springer Nature terms of use for archived author accepted manuscripts (AAMs) of subscription articles, books and chapters
File access level: Anyone

  • 69
    total views
  • 26
    total downloads
  • 1
    views this month
  • 3
    downloads this month

Export as

Related outputs

Blockchain-based Decentralised Application (DApp) towards Achieving a Hunger-Free World
Auwal, B., Duta, L., Sharif, S., Abou-Grad, H. and Ali, A 2024. Blockchain-based Decentralised Application (DApp) towards Achieving a Hunger-Free World. ICSDI 2024: 2nd International Conference on Sustainability: Development and Innovation. Riyadh, KSA 18 - 22 Feb 2024 Springer.
Decision Making by Applying Machine Learning Techniques to Mitigate Spam SMS Attacks
Abou-Grad, H., Chakhar, S. and Abubahia, A. 2023. Decision Making by Applying Machine Learning Techniques to Mitigate Spam SMS Attacks. 4th International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2022. Salerno, Italy 14 - 21 Dec 2022 Springer, Cham. https://doi.org/10.1007/978-3-031-30396-8_14
Applying the Delphi Method to Measure Enterprise Content Management Workflow System Performance
Abou-Grad, H. and Warwick, J. 2022. Applying the Delphi Method to Measure Enterprise Content Management Workflow System Performance. Science and Information Conferences: Computing Conference 2022. 14 - 15 Jul 2022 Springer, Cham. https://doi.org/10.1007/978-3-031-10464-0_27