Evaluating Social Performance of Construction Projects: An Empirical Study

Xiahou, Xiaer; Tang, Yuchun; Yuan, Jingfeng; Chang, Tengyuan; Liu, Ping

doi:10.3390/su10072329

Cited by 47 publications

(39 citation statements)

References 49 publications

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“…1-Project's Location [6][7][8] 2-Project's Size [8,9] 3-Clear and realistic goals/objectives [10,11] 4-Project's adequate funds/resources [12][13][14] 5-Effective procurement and tendering methods [15][16][17][18][19] II. Business-and Work-Environment-Related Factors 6-Economical environment [20,21] 7-Social environment [22][23][24] 8-Political environment [9,16,25] 9-Statutory approvals environment [26,27] III. Client-Related Factors 10-Influence of client/client's representative [25,28] 11-Client's experience in construction field [16,25] 12-Mechanism of financial payments [26,29,30]…”

Section: Project-related Factorsmentioning

confidence: 99%

Critical Success Factors for Sustainable Construction Project Management

Gündüz

Almuajebh

2020

Sustainability

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It is necessary to identify critical success factors (CSFs) that affect the construction process. This paper’s aim is to define the CSFs considering views of all construction project stakeholders. The contribution of this paper is to categorize project success factors into categories and quantify the effect of each category taking into account the effect of all stakeholders on project efficiency and progress. To achieve this objective, a comprehensive literature review was carried out. After literature review, 40 success factors were compiled into seven categories: project-related factors, company- and work-related factors, client-related factors, project management factors, design-team-related factors, contractor-related factors, project-manager-related factors. Consequently, a survey including these listed success factors was prepared and distributed to various experts in the construction field to be ranked; 148 responses were received. Employing the Relative Importance Index (RII) and traditional Analytic Hierarchy Process (AHP) method with Saaty random index that prioritizes these CSFs, the collected data were analyzed after receiving responses. Even though there were disagreements in stakeholders’ views and their goals, significant areas have been identified as project financial issues, managerial aspects, and authorities’ approval mechanism. The outcome of this paper would be used by construction industry professionals to support, evaluate, and measure the success of projects for better allocation of resources.

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Section: Project-related Factorsmentioning

confidence: 99%

Critical Success Factors for Sustainable Construction Project Management

Gündüz

Almuajebh

2020

Sustainability

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“…Performance management, which is defined as a closed loop control system that deploys policy and strategy, and obtains feedback from various levels to manage the performance of the system [ 38 ], has been widely adopted by a wide range of industries [ 4 , 39 ]. All organizations exist with high-level performance [ 40 ].…”

Section: Literature Reviewmentioning

confidence: 99%

A SBM-DEA based performance evaluation and optimization for social organizations participating in community and home-based elderly care services

Shao

Yuan

Lin³

et al. 2021

PLoS ONE

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The community and home-based elderly care service system has been proved an effective pattern to mitigate the elderly care dilemma under the background of accelerating aging in China. In particular, the participation of social organizations in community and home-based elderly care service has powerfully fueled the multi-supply of elderly care. As the industry of the elderly care service is in the ascendant, the management lags behind, resulting in the waste of significant social resources. Therefore, performance evaluation is proposed to resolve this problem. However, a systematic framework for evaluating performance of community and home-based elderly care service centers (CECSCs) is absent. To overcome this limitation, the SBM-DEA model is introduced in this paper to evaluate the performance of CECSCs. 186 social organizations in Nanjing were employed as an empirical study to develop the systematic framework for performance evaluation. Through holistic analysis of previous studies and interviews with experts, a systematic framework with 33 indicators of six dimensions (i.e., financial management, hardware facilities, team building, service management, service object and organization construction) was developed. Then, Sensitivity Analysis is used to screen the direction of performance optimization and specific suggestions were put forward for government, industrial associations and CECSCs to implement. The empirical study shows the proposed framework using SBM-DEA and sensitivity analysis is viable for conducting performance evaluation and improvement of CECSCs, which is conducive to the sustainable development of CECSCs.

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“…Ulutas et al [16] developed an integrated model including FAHP, Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and AHP, axiomatic design (AD), and DEA for evaluating and selecting optimal suppliers. Gan et al [17] used the triangular fuzzy number (TFN), AHP, and DEA approaches for analyzed economic feasibility. Rouyendegh et al [18] combined a hybrid DEA-Analytic Network Process (ANP) for selecting the process within Iran Amirkabir University.…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Supplier Selection Process in Edible Oil Production by a Hybrid Fuzzy Analytical Hierarchy Process and Green Data Envelopment Analysis for the SMEs Food Processing Industry

et al. 2018

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Today, business organizations are facing increasing pressure from a variety of sources to operate using sustainable processes. Thus, most companies need to focus on their supply chains to enhance sustainability to meet customer demands and comply with environmental legislation. To achieve these goals, companies must focus on criteria that include CO2 (carbon footprint) and toxic emissions, energy use and efficiency, wastage generations, and worker health and safety. As in other industries, the food processing industry requires large inputs of resources, which results in several negative environmental effects; thus, decision-makers have to evaluate qualitative and quantitative factors. This work identifies the best supplier for edible oil production in the small and medium enterprise (SME) food processing industry in Vietnam. This study also processes a hybrid multicriteria decision-making (MCDM) model using a fuzzy analytical hierarchy process (FAHP) and green data envelopment analysis (GDEA) model to identify the weight of all criteria of a supplier’s selection process based on opinions from company procurement experts. Subsequently, GDEA is applied to rank all potential supplier lists. The primary objective of this work is to present a novel approach which integrates FAHP and DEA for supplier selection and also consider the green issue in edible oil production in uncertain environments. The aim of this research is also to provide a useful guideline for supplier selection based on qualitative and quantitative factors to improve the efficiency of supplier selection in the food industry and other industries. The results reveal that Decision-Making Unit 1 (DMU 1), DMU 3, DMU 7, and DMU 9 are identified as extremely efficient for five DEA models, which are the optimal suppliers for edible oil production. The contributions of this research include a proposed MCDM model using a hybrid FAHP and GDEA model for supplier selection in the SME food processing industry under a fuzzy environment conditions in Vietnam. This research also is part of an evolution of a new hybrid model that is flexible and practical for decision-makers. In addition, the research also provides a useful guideline in supplier selection in the food processing industry and a guideline for supplier selection in other industries.

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Evaluating Social Performance of Construction Projects: An Empirical Study

Cited by 47 publications

References 49 publications

Critical Success Factors for Sustainable Construction Project Management

Critical Success Factors for Sustainable Construction Project Management

A SBM-DEA based performance evaluation and optimization for social organizations participating in community and home-based elderly care services

Sustainable Supplier Selection Process in Edible Oil Production by a Hybrid Fuzzy Analytical Hierarchy Process and Green Data Envelopment Analysis for the SMEs Food Processing Industry

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