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
AuthorsAbou-Grad, H. and Warwick, J.
TypeConference 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.

Year2022
ConferenceScience and Information Conferences: Computing Conference 2022
PublisherSpringer, Cham
Accepted author manuscript
License
File Access Level
Anyone
Publication dates
Online06 Jul 2022
Print07 Jul 2022
Publication process dates
Completed14 Jul 2022
Deposited09 May 2023
Journal citationpp. 404-419
ISSN2367-3370
Book titleIntelligent Computing: Proceedings of the 2022 Computing Conference, Volume 2
Book editorArai, K.
ISBN9783031104633
9783031104640
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-031-10464-0_27
Web address (URL) of conference proceedingshttps://saiconference.com/Conferences/Computing2022
Copyright holder© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
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SAIConference-Computing2022_DrHishamAbouGrad_2021.pdf
License: Springer Nature terms of use for archived author accepted manuscripts (AAMs) of subscription articles, books and chapters
File access level: Anyone

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