Categorizing suppliers for development investments in construction: application of DEA and RFM concept

Noorizadeh, Abdollah; Rashidi, Kamran; Peltokorpi, Antti

doi:10.1080/01446193.2017.1416151

Cited by 14 publications

(10 citation statements)

References 75 publications

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“…Reviewing the extant literature, it was identified that there are several uncontrollable risk causing factors resulting in various risks observed through the project life cycle, hence risks associated with RECPs cannot be entirely mitigated by any means (Subramanyan et al , 2012; Ansah and Sorooshian, 2018; Liao and Teo, 2018; Mohammadi et al , 2018; Noorizadeh et al , 2018; Rahimi et al , 2018). The construct of “risk” in the context of this study can be defined as a situation or a circumstance, which in the absence of proper planning can derail the overall execution of a project.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Design risks are the ones which solely rely on the skill levels and knowledge of the project participants and their understanding of the designs (Lam and Siwingw, 2017; Kumar et al , 2018; Malekitabar et al , 2018). The design risks observed in developing countries are the result of numerous design variations, errant designs, project complexities and incomplete designs (Purdy, 2010; Doloi et al , 2012; Perrenoud et al , 2017; Chmutina et al , 2018; Dandage et al , 2018; Noorizadeh et al , 2018; Portugal-Pereira et al , 2018; Tonchia, 2018).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…It is also observed from the body of knowledge that frequent changes in design also adversely affect the execution phase (Purdy, 2010; Subramanyan et al , 2012; Samantra et al , 2017; Rahimi et al , 2018). Also, it is observed that any variation in the quantity of raw materials ordered for executing work may create problems (Goulding and Sutrisna, 2018; Hatefi and Tamošaitienė, 2018; Kim et al , 2018; Kumar et al , 2018; Noorizadeh et al , 2018).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

See 2 more Smart Citations

Identifying the risk factors in real estate construction projects: an analytical study to propose a control structure for decision-making

Deep

Bhoola

Verma

et al. 2021

JFMPC

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Purpose Construction projects in the real estate sector are important for a nation’s economic growth. However, owing to several constraints and stereotypes, the construction industry is suffering from major capital losses. A review of recent literature revealed that risks occurring in real estate construction projects (RECPs) carried out in developing economies can be divided into four categories, i.e. financial risks, design risks, execution risks and sociopolitical risks. This study aims to identify the critical factors that lead to these risk categories and develop a control structure for RECPs. Design/methodology/approach A quantitative method, i.e. a questionnaire-based survey, was used for this study. Using a random sampling technique the questionnaire was distributed to selected, highly experienced project managers. To determine whether the factors identified as part of the literature review strongly influence the categories, the factor analysis of the observations was performed. Findings The observations made in this study lead to the identification of six critical risk causing factors, i.e. lack of efficient planning, execution constraints, external constraints, client-induced constraints, project constraints and partner experience. The observations indicated a lack of knowledge of project management, organizational culture and a claims redressal mechanism in RECPs. Also, this study recommends a blockchain-based control structure to control the occurrence of the risk causing factors identified. Originality/value This study recommends a blockchain-based control structure for controlling the risks occurring.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Theoretical Backgroundmentioning

confidence: 99%

See 1 more Smart Citation

Identifying the risk factors in real estate construction projects: an analytical study to propose a control structure for decision-making

Deep

Bhoola

Verma

et al. 2021

JFMPC

View full text Add to dashboard Cite

show abstract

“…Hofman et al (2009),Ireland (2004),Jagtap and Kamble (2020b),Karim et al (2006),Liu et al (2015),Lloyd-Walker et al (2014),Lopez et al (2017),Makkinga et al (2018),Naoum and Egbu (2016),Neuman et al (2015),Noorizadeh et al (2018), Othman et al (2015,Pesämaa et al (2009),Porwal and Hewage (2013),Rezgui and Miles (2010),Sariola (2018), Seth et al (2018), Singleton and Cormican (2013), Sobotka and Czarnigowska (2005), Stević et al (2017), Tolstoy and Axelsson (2018), van Lith et al (2015), van Zoest et al (2020), Wang et al (2017), Zeng, Tse, et al (2018), Zeng et al (2019) and Zheng et al (2020) construction procurement & supply management Ahmadian et al (2016), Ala-Risku and Kärkkäinen (2006), Caldas et al (2015), Feng et al (2016), Lindén and Josephson (2013), Lu et al (2018), Safa et al (2014), Scheffer et al (2016), Spillane and Oyedele (2017), Tanskanen et al (2015), Tetik et al (2021), Walsh et al (2004), Ying et al (2014) and Young et al (2011) materials management Abas et al (2020),Abidin and Ingirige (2018),Aloini et al (2012),Ekanayake et al (2022),Gosling et al (2013),Hernadewita and Saleh (2020),Kissi et al (2021),Koc and Asli (2021),Panova and Hilletofth (2018),Rudolf and Spinler (2018),Tang et al (2020) andWedawatta et al (2010) CSC risk managementArbulu et al (2003) andKoutsokosta and Katsavounis (2020) CSC configuration (continued next page)…”

mentioning

confidence: 99%

Twenty-year application of logistics and supply chain management in the construction industry

Nguyen

2022

Construction Management and Economics

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Supplementary document of the paper titled "Twenty-year application of logistics and supply chain management in the construction industry" A. Multidimensional scaling and fuzzy k-means algorithms This supplemental material was adapted from Nguyen et al. (2021). Notation: C |N|×|N| : Co-citation matrix, where n is the set of references cited by at least four articles in our 591paper sample (|N| = 965). C i j = C ji indicates the number of studies in our sample that cited both items i and j. C ii ← 1. DISSIM n×n : Dissimilarity matrix for n = 313 papers on construction logistics and supply chain management (CLSCM) selected in our sample with at least four in-sample citations. MDS(•, •): Multidimensional scaling (MDS) function in the machine learning scikit-learn library (Pedregosa et al., 2011).X n×m ← MDS(DISSIM, m): Coordinate matrix produced by projecting DISSIM into an m-dimensional space for n data points using Python MDS function.

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“…define SD as "any effort of the buying firm with a supplier to increase the performance and/or capabilities of the supplier and to meet the buying firm's short and/or long term supply needs." SD was originated from the manufacturing industry and has been introduced into many other industries, such as construction industry, to improve the capabilities of suppliers [19], [4], [29].…”

mentioning

confidence: 99%

Incentives for production capacity improvement in construction supplier development

He¹,

Zeng²,

Yu³

et al. 2021

Journal of Industrial &Amp; Management Optimization

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The purpose of this paper is to investigate the supplier development (SD) in construction industry. As the supplier's production capacity cannot meet the construction requirements, the owner wants to take incentives to encourage the supplier to improve its production capacity. A principalagent model and a Stackelberg game model are proposed to study the impact of owner's incentives including cost sharing and purchase price incentive on the production capacity improvement in SD. Furthermore, we give a sensitivity analysis of the influence of supplier's internal and external parameters, i.e., purchase quantity, cost structure, market price and market demand, etc., on the production capacity improvement. The findings of this study can help the owner to make a better decision on the incentive mechanisms for SD, resulting in both better SD practices and a win-win situation.

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Categorizing suppliers for development investments in construction: application of DEA and RFM concept

Cited by 14 publications

References 75 publications

Identifying the risk factors in real estate construction projects: an analytical study to propose a control structure for decision-making

Identifying the risk factors in real estate construction projects: an analytical study to propose a control structure for decision-making

Twenty-year application of logistics and supply chain management in the construction industry

Incentives for production capacity improvement in construction supplier development

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