Change Readiness Assessment for the Implementation of Building Information Modeling within a Construction Project Management Company

Britel, Zineb; Cherkaoui, Abdelghani

doi:10.1145/3437075.3437094

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…For each object, m extent analysis values are symbolized by M̃jgi with (j=1,...,m) representing the triangular fuzzy numbers, with the membership function represented by M̃(x). Using Chang's extent analysis method (Chang, 1996) due to the simplicity of its steps in comparison with other similar approaches (Dag˘deviren, et al, 2008;Britel and Cherkaoui, 2020). The fuzzy synthetic extent value is calculated in regards to the i th object with the formula:…”

Section: Fuzzy Analytic Network Process Methodologymentioning

confidence: 99%

“…Step 8: Definition of the readiness for change maturity level. According to the scale proposed by Britel and Cherkaoui (2020) in Table 4, the readiness for change maturity level (RCML) is determined based on the maturity level (ML) obtained value. It is important to note that for steps n° 2, 3 and 6, obtaining a consensus between the focus group members was necessary, therefore a two-round Delphi methodology was used.…”

Section: Maturity Model Perspectivementioning

confidence: 99%

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Development of a readiness for change maturity model: an energy management system implementation case study

Britel

Cherkaoui

2022

Production Engineering Archives

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This paper provides a methodology to assess the maturity of an organization’s readiness for change based on the use of a Fuzzy Analytic Network Process and fuzzy linguistic evaluation maturity model. This anticipatory approach’s purpose is to evaluate the extent in which an organization is ready to implement a change initiative, in order to enhance supportive behaviors and identify improvement areas before engaging the change and thus reducing change adoption failure risks. A case study for the implementation of an Energy Management System according to the ISO 50001 Standard within a factory operating in the automotive sector is provided. Rather than the classical technical approach found in energy management maturity models, this approach offers an organizational perspective. The use of the Fuzzy Analytic Network Process allows the consideration of the interrelations between factors, while the use of fuzzy logic for the evaluation through linguistic variables helps in taking the uncertainty and imprecision of respondents into consideration. This approach serves as a decision support system for decision-makers by providing the organization’s readiness maturity level as well as the identification of improvement areas that will help ensure a successful implementation of the desired change initiative. In the conducted case study, the obtained maturity level refers to an average readiness for change for the implementation of the Energy Management System and requires the definition of an improvement roadmap, comprising the following elements: ensuring top management leadership and organizational commitment and involving employees as well as internal communication on the personal and organizational benefits of the implementation of an Energy Management System.

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Section: Fuzzy Analytic Network Process Methodologymentioning

confidence: 99%

Section: Maturity Model Perspectivementioning

confidence: 99%

Development of a readiness for change maturity model: an energy management system implementation case study

Britel

Cherkaoui

2022

Production Engineering Archives

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“…Since the human element have heavily influenced the acceptance of this smart 3D model-based approach, its effective execution must guarantee the key stakeholders' preparedness for change. Britel and Cherkaoui [24] have analysed the modified readiness for the deployment of BIM inside a construction project administration organisation in Morocco. The suggested assessment system bases its analysis on linguistic parameters and the Fuzzy Analytic Hierarchy Procedure.…”

Section: Introductionmentioning

confidence: 99%

A method of building information modelling implementation for structural engineering firms

Varouqa,

Alnsour

2024

MethodsX

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Understanding Professional Care Providers Readiness Towards the Adoption of Care Robots for Elderly Care

Britel

Cherkaoui

2022

Robot Intelligence Technology and Applications 6

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Change Readiness Assessment for the Implementation of Building Information Modeling within a Construction Project Management Company

Cited by 4 publications

References 15 publications

Development of a readiness for change maturity model: an energy management system implementation case study

Development of a readiness for change maturity model: an energy management system implementation case study

A method of building information modelling implementation for structural engineering firms

Understanding Professional Care Providers Readiness Towards the Adoption of Care Robots for Elderly Care

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