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

AbouGrad, Hisham; Warwick, Jon; Desta, Amare

doi:10.1007/978-3-030-02242-6_15

Cited by 3 publications

(7 citation statements)

References 14 publications

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“…The study found that key objectives for decision-making studies can be achieved through the Delphi method, as consensus and stability have been notably experienced by processing spam datasets in three different rounds to reach consensus on several significant aspects. Also, the study approved that the Delphi method found practical issues and key indicators by weighing decision-making criteria using Delphi's rounds as a multiple criteria decision-making (MCDM) framework, which complies with other studies [11,12]. The Delphi method confirms the requirements, and then, makes decisions using Delphi's rounds as an MCDM process.…”

Section: Delphi's Reliability and Validity For Decision-makingsupporting

confidence: 70%

“…The Delphi method begins by Brainstorming to recognise the measurement indicators for the research framework [10][11][12]. This round is used to identify initial conditions, criteria, and classes.…”

Section: The Delphi Decision-making Study Methodsmentioning

confidence: 99%

“…The development of machine learning analytical methods needs a decision-making framework to manage the classification process and measure the process performance to formulate the maturity model [10][11][12]. Thus, the Delphi method was found to be a suitable research framework to support the decision-making process to produce the study results and findings.…”

Section: Introductionmentioning

confidence: 99%

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Decision Making by Applying Machine Learning Techniques to Mitigate Spam SMS Attacks

AbouGrad

Chakhar

Abubahia

2023

Lecture Notes in Networks and Systems

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Due to exponential developments in communication networks and computer technologies, spammers have more options and tools to deliver their spam SMS attacks. This makes spam mitigation seen as one of the most active research areas in recent years. Spams also affect people's privacy and cause revenue loss. Thus, tools for making accurate decisions about whether spam or not are needed. In this paper, a spam mitigation model is proposed to find spam from non-spam and the different processes used to mitigate spam SMS attacks. Also, anti-spam measures are applied to classify spam with the aim to have high classification accuracy performance using different classification methods. This paper seeks to apply the most appropriate machine learning (ML) techniques using decision-making paradigms to produce an ML model for mitigating spam attacks. The proposed model combines ML techniques and the Delphi method along with Agile to formulate the solution model. Also, three ML classifiers were used to cluster the dataset, which are Naive Bayes, Random Forests, and Support Vector Machine. These ML techniques are renowned as easy to apply, efficient and more accurate in comparison with other classifiers. The findings indicated that the number of clusters combined with the number of attributes has revealed a significant influence on the classification accuracy performance.

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Section: Delphi's Reliability and Validity For Decision-makingsupporting

confidence: 70%

Section: The Delphi Decision-making Study Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Decision Making by Applying Machine Learning Techniques to Mitigate Spam SMS Attacks

AbouGrad

Chakhar

Abubahia

2023

Lecture Notes in Networks and Systems

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“…The business process management values of CERT (i.e., Customer orientation, Excellence, Responsibility, and Teamwork) are measurement concept values for an enterprise's processes, which can be applied to improve workflow system performance. CERT values are workflow information systems (WIS) and BPM values for managing an organisation workflows [2]. The Schmiedel et al study [10, p. 298] has defined CERT values as ideals that influence behavioural and organisational patterns of a group and major business process objectives.…”

Section: Introductionmentioning

confidence: 99%

Applying the Delphi Method to Measure Enterprise Content Management Workflow System Performance

AbouGrad

Warwick

2022

Lecture Notes in Networks and Systems

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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 decisionmaking criteria to formulate a methodology in combination with CERT values to evaluate ECM workflow systems performance.

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“…Delphi method is considered appropriate and used for BPI projects in organizations. Its structured and academically rigorous approach maintains controls over any expected bias [45]. For this study, the 'experts' chosen are Business Process Managers (BPMs) who have the experience of undertaking BPI projects for more than six years in the telecom industry of Pakistan.…”

Section: Methodsmentioning

confidence: 99%

Towards successful business process improvement – An extension of change acceleration process model

et al. 2019

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Change Acceleration Process model (CAP) emerged in early 90's as a set of principles for accelerating change management efforts in organizations. Business Process Improvement (BPI) projects open avenues of opportunity and success for organizations in this highly competitive era. However, most of these projects fail due to lack of commitment, communication, scope creep and inadequate resources. This research attempts to study industry relevant factors most critical to success of a BPI Project in the highly competitive telecom sector. Modified Delphi technique employing a panel of telecom professionals was adopted in order to determine the critical success factors (CSFs) after a thorough review of the literature. Exploratory factor analysis was performed to map extracted factors to the five agents of change. Research outcome defines the relevant CSFs in terms of vision, skills, incentives, resources and action plan. A significant contribution of this research is an extended CAP model for implementation of BPI projects. Practical implications of this research are utilization of the proposed model for BPI project success.

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

Cited by 3 publications

References 14 publications

Decision Making by Applying Machine Learning Techniques to Mitigate Spam SMS Attacks

Decision Making by Applying Machine Learning Techniques to Mitigate Spam SMS Attacks

Applying the Delphi Method to Measure Enterprise Content Management Workflow System Performance

Towards successful business process improvement – An extension of change acceleration process model

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