Business process reengineering framework and methodology: a critical study

Bhaskar, Hari Lal

doi:10.1504/ijsom.2018.10011427

Cited by 15 publications

(23 citation statements)

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“…It is critical to weigh the pros/cons of both approaches to ensure that they align with the strategic goals of the organization. BPR concepts have evolved over the years and different researchers have contributed to their development [61]. Another set of protocols similar to the reverse and forward engineering is called dirty and clean slate reengineering [62,63].…”

Section: Discussion and Analysismentioning

confidence: 99%

Analyzing the Effects of Tactical Dependence for Business Process Reengineering and Optimization

Khan

Butt

Mebrahtu

et al. 2020

Designs

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Implementing business and manufacturing process reengineering is challenging and poses major issues. The dependence issues between process functions during the implementation phase are the main reason for the high failure rate of process reengineering. The incompetence in identifying the dependence makes existing business process reengineering approaches static for modern business and manufacturing process structures. This paper has implemented a new process reengineering approach called the Khan–Hassan–Butt (KHB) methodology that incorporates the process interdependence algorithm to identify the dependence issues. The KHB method is a hybrid process reengineering approach to identify dependence issues before implementing changes; thus significantly reducing the failure rate of implementing business process reengineering. The KHB method has been implemented in a Bangladesh fabric manufacturing facility. The mapping and verification of the process have been completed using the WITNESS Horizon 22.5 simulation package. The case study has investigated the fabric production process and identified the dependence issues between each function and suggested changes to optimize the process. The outcome has shown significant improvement in production output and process efficiency.

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Section: Discussion and Analysismentioning

confidence: 99%

Analyzing the Effects of Tactical Dependence for Business Process Reengineering and Optimization

Khan

Butt

Mebrahtu

et al. 2020

Designs

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“…Business process re-engineering became one of the most popular change-management approaches because it promotes doing things effectively for better overall quality. However, it is estimated that around 70% of business process re-engineering implementations have failed due to a lack of proper framework or methodology [15].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Any change in the activities and the business process flow is re-engineering [3,14]. Re-engineering a business process will sometimes transform every aspect of an organisation, including organisation structures, values, and reward systems [15], maximising the impact of the change on the organisation culture.…”

Section: Introductionmentioning

confidence: 99%

“…Al-Mashari and Zairi framework is a holistic framework, as they describe it, for business process re-engineering implementation [15]. This framework begins by looking at the internal and external change drivers, then benchmarking to determine the scope of the change, the degree of the change, and the change radicalness.…”

mentioning

confidence: 99%

“…Lowenthal's framework is a simple and basic framework of four phases [15], with a high-level sequence of steps:…”

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confidence: 99%

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Using Machine Learning in Business Process Re-Engineering

Al-Anqoudi

Al-Hamdani

Al-Badawi

et al. 2021

BDCC

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A business process re-engineering value in improving the business process is undoubted. Nevertheless, it is incredibly complex, time-consuming and costly. This study aims to review available literature in the use of machine learning for business process re-engineering. The review investigates available literature in business process re-engineering frameworks, methodologies, tools, techniques, and machine-learning applications in automating business process re-engineering. The study covers 200+ research papers published between 2015 and 2020 in reputable scientific publication platforms: Scopus, Emerald, Science Direct, IEEE, and British Library. The results indicate that business process re-engineering is a well-established field with scientifically solid frameworks, methodologies, tools, and techniques, which support decision making by generating and analysing relevant data. The study indicates a wealth of data generated, analysed and utilised throughout business process re-engineering projects, thus making it a potential greenfield for innovative machine-learning applications aiming to reduce implementation costs and manage complexity by exploiting the data’s hiding patterns. This suggests that there were attempts towards applying machine learning in business process management and improvement in general. They address process discovery, process behaviour prediction, process improvement, and process optimisation. The review suggests that expanding the applications to business process re-engineering is promising. The study proposed a machine-learning model for automating business process re-engineering, inspired by the Lean Six Sigma principles of eliminating waste and variance in the business process.

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Cross-sectoral process modelling for smart city development

Dessai

Javidroozi

2021

BPMJ

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PurposeIntegration of city systems is needed to provide flexibility, agility and access to real-time information for the creation and delivery of efficient services in a smart and sustainable city. Consequently, City Process Modelling (CPMo) becomes an essential element of connecting various city sectors. However, to date, there has been limited research on the requirements of an ideal CPMo approach and the usefulness of available Business Process Modelling (BPMo) approaches. This research develops a framework for CPMo to guide smart city developers when modelling city processes.Design/methodology/approachData from literature analysis was gathered to derive capabilities of existing BPMo techniques. Then, semi-structured interviews were conducted to thematically and qualitatively explore the requirements, challenges and success factors of CPMo.FindingsThe interview findings offered 17 requirements to be addressed by a CPMo approach, along with several challenges and success factors to be considered when implementing CPMo approaches. Then, the paper presents the results of mapping these requirements against 12 existing BPMo capabilities, identified from the literature, concluding that a significant number of requirements (which are mainly related to inputs and visualisation) have been left unfulfilled by existing BPMo approaches. Hence, developing an innovative CPMo approach is necessary to address the components of unfulfilled requirements.Originality/valueThe innovative framework presented in this paper justifies the CPMo requirements, which are unexplored in existing SCD frameworks. Moreover, it will act as a guide for smart city developers, to model cross-sectoral city processes, helping them progress their SCD road map and make their cities smart.

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Business process reengineering framework and methodology: a critical study

Cited by 15 publications

References 0 publications

Analyzing the Effects of Tactical Dependence for Business Process Reengineering and Optimization

Analyzing the Effects of Tactical Dependence for Business Process Reengineering and Optimization

Using Machine Learning in Business Process Re-Engineering

Cross-sectoral process modelling for smart city development

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