Applying the Delphi Method to Measure Enterprise Content Management Workflow System Performance
Conference paper
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
Authors | Abou-Grad, H. and Warwick, J. |
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Type | Conference paper |
Abstract | Organisations need to measure enterprise content management (ECM) workflow systems performance to achieve their mission and objectives. This requires an exploration of the business environment where ECM workflow systems operate using an appropriate decision-making method and business process management (BPM) values. This paper describes the Delphi method as an appropriate methodology and identifies CERT values as appropriate BPM values with the support from experts and experienced professionals to measure ECM workflow systems performance. CERT values are Customer orientation (C), Excellence (E), Responsibility (R) and Teamwork (T). The purpose of this paper is to explain how the Delphi method can be used to measure ECM workflow systems performance. Further, CERT values are described to drive the business processes through the Delphi method to measure workflow system performance. The paper examines the academic literature on Delphi studies, ECM and CERT values and the benefits of this combination of ideas are revealed. The Delphi method strengths are identified to measure ECM workflow systems performance. Overall, this study focuses on the Delphi rounds as decision-making criteria to formulate a methodology in combination with CERT values to evaluate ECM workflow systems performance. |
Year | 2022 |
Conference | Science and Information Conferences: Computing Conference 2022 |
Publisher | Springer, Cham |
Accepted author manuscript | License File Access Level Anyone |
Publication dates | |
Online | 06 Jul 2022 |
07 Jul 2022 | |
Publication process dates | |
Completed | 14 Jul 2022 |
Deposited | 09 May 2023 |
Journal citation | pp. 404-419 |
ISSN | 2367-3370 |
Book title | Intelligent Computing: Proceedings of the 2022 Computing Conference, Volume 2 |
Book editor | Arai, K. |
ISBN | 9783031104633 |
9783031104640 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-031-10464-0_27 |
Web address (URL) of conference proceedings | https://saiconference.com/Conferences/Computing2022 |
Copyright holder | © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG 2022 |
https://repository.uel.ac.uk/item/8vz72
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Accepted author manuscript
SAIConference-Computing2022_DrHishamAbouGrad_2021.pdf | ||
License: Springer Nature Terms of Use for accepted manuscripts of subscription articles, books and chapters | ||
File access level: Anyone |
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