Performance Evaluation of Construction Sub‐contractors using Ordinal Priority Approach

Mahmoudi, Amin; Javed, Saad Ahmed

doi:10.1016/j.evalprogplan.2021.102022

Cited by 34 publications

(25 citation statements)

References 45 publications

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“…As a result, the analysis excludes those potential customers who have no prior experience with online transactions but intend to engage in such activities. The current study used the popular Relative Importance Index primarily because of its simplicity and ease of computation, however in future other alternatives, such as the Relative Performance Index (Mahmoudi & Javed, 2022), may also be tried. Hence, further scholars can extend this research by providing additional variables and extensively studying factors influencing customer buying behavior.…”

Section: Discussionmentioning

confidence: 99%

Factors Influencing Online Buying Behavior: A Case of Shopee Customers

Mesatania

2022

MSBD

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This research aims to gain an understanding into the factors influencing customer buying behavior on e-commerce platforms such as Shopee, particularly from a behavioral standpoint. The current study identified 23 factors influencing online buying behavior, and then evaluated the performance of Shopee on these factors using the Relative Importance Index (RII). The results revealed that quality of product (or service), customer knowledge of the product, price of product, and shop's reputation are most important factors. Relatively least important factors are impulsive buying behavior, perceived enjoyment, tagline, and mood. The study concludes with important implications for the electronic retailers.

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Section: Discussionmentioning

confidence: 99%

Factors Influencing Online Buying Behavior: A Case of Shopee Customers

Mesatania

2022

MSBD

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“…The authors applied OPA to evaluate barriers to blockchain and distributed ledger adoption in the construction industry based on sustainability dimensions. Mahmoudi and Javed ( 2021 ) proposed a novel relative performance index to measure the performance of the sub-contractors of construction projects using the OPA. Moreover, Mahmoudi, Abbasi et al ( 2021 ) combined the DEA with the OPA to provide a hybrid approach for the performance measurement of the suppliers.…”

Section: Methodsmentioning

confidence: 99%

Performance measurement of construction suppliers under localization, agility, and digitalization criteria: Fuzzy Ordinal Priority Approach

Mahmoudi

Sadeghi

Deng

2022

Environ Dev Sustain

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The suppliers’ performance plays a vital role, with a domino effect, in project success, organizational competitiveness, protecting supply chain and construction industry from disruptions and PESTEL risks (political, economic, social, technological, environmental, and legal). Therefore, measuring the performance of the construction suppliers has become the primary focus of project-oriented organizations and the core of business decision-making, especially during global megatrends. The question that may arise here is, “How can the performance of the construction suppliers be determined under uncertainties considering the post-COVID-19 era?” Organizations need eligible suppliers for the rapid recovery of the supply chain and construction sector at this critical stage. Given the importance of the issue, this study aims to propose a novel approach for measuring the performance of construction suppliers using the fuzzy ordinal priority approach ( OPA-F ). OPA-F is a recent development in multiple criteria decision-making (MCDM) that can determine the criteria weights for performance measurement using fuzzy linguistic variables. We do not always have access to a complete data set in real-world situations and business environments. Nevertheless, OPA-F can handle this dilemma, even with incomplete input data. This research intends to consider three main aspects of the construction suppliers, known as (L-A-D) capabilities , including localization, agility, and digitalization . In this regard, we bring up a case study from the construction industry to demonstrate the application of the proposed framework. The findings show that the most critical criterion is “digitalization” for the case study. This criterion covers “supply chain automation” and “virtualization and dematerialization” of services/products. The proposed approach is practical and straightforward, particularly for academicians and decision-makers; it can also incorporate uncertainties.

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“…However, within a short period, it has seen several successful applications. Mahmoudi and Javed (2022) utilized the OPA and proposed a relative performance index to determine the performance of the sub-contractors in the construction industry. Sadeghi et al (2022) employed the OPA to rank the barriers to implementing the blockchain in the construction industry.…”

Section: Ordinal Priority Approachmentioning

confidence: 99%

Probabilistic Approach to Multi-Stage Supplier Evaluation: Confidence Level Measurement in Ordinal Priority Approach

Mahmoudi

Javed

2022

Group Decis Negot

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A popular framework of the supplier selection process is usually characterized by problem definition, criteria formulation, supplier screening, and supplier selection. The literature review suggested limitations of this framework as it ignores the screening of criteria (beyond criteria weighing) and evaluators (buyers) and its inability to guide the supplier selection problems where a measure of confidence or trust is needed to confirm the reliability of the selected supplier. While extending de Boer's influential supplier selection framework, the current study argues that the supplier selection problem is not merely about ranking suppliers based on given criteria; instead, it involves evaluating criteria and evaluators as well. Guided by the theory of statistics and the Ordinal Priority Approach (OPA), the study pioneers a probabilistic approach of supplier evaluation and selection under incomplete information using a novel Confidence Level measure. The study suggests, the probability that a supplier shortlisted for selection is actually the optimum choice or not can be explained through a probability distribution, called W-distribution, therefore, confidently preventing the decision-makers from selecting the sub-optimum suppliers. The study presents a novel contribution to the theory of multiple-attribute decisionmaking through the OPA. The proposed approach can help build intelligent decision support systems to aid managers while providing them with early warning tools and suggestions to improve confidence in their selection.

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Performance Evaluation of Construction Sub‐contractors using Ordinal Priority Approach

Cited by 34 publications

References 45 publications

Factors Influencing Online Buying Behavior: A Case of Shopee Customers

Factors Influencing Online Buying Behavior: A Case of Shopee Customers

Performance measurement of construction suppliers under localization, agility, and digitalization criteria: Fuzzy Ordinal Priority Approach

Probabilistic Approach to Multi-Stage Supplier Evaluation: Confidence Level Measurement in Ordinal Priority Approach

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