Recipes for Standardized Capital Projects’ Performance Success

Shrestha, Binit K.; Choi, Jin Ouk; Kwak, Young Hoon; Shane, Jennifer S.

doi:10.1061/(asce)me.1943-5479.0000926

Cited by 10 publications

(3 citation statements)

References 25 publications

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“…QCA also reveals the most recurrent set of causal conditions that results in a specific outcome (Verweij 2015). The use of QCA has grown during the last decade because it enables in-depth analysis and, simultaneously, generalization to build theory when the complex interplay between outcomes and conditions is not fully acknowledged (Shrestha et al 2021).…”

Section: Theoretical Basis Of Qualitative Comparative Analysismentioning

confidence: 99%

“…14 Crisp-set QCA was the original method developed in the late 1980s, which considered Boolean values (i.e., 0 or 1) for the conditions and outcomes (Rihoux and Lobe 2012). The binary configuration allows assigning 0 when there is no membership and 1 when there is membership (Shrestha et al 2021). Crisp-set QCA aims to simplify complicated and long expressions into the least complex solution (i.e., parsimonious) (Rihoux and Lobe 2012).…”

Section: Theoretical Basis Of Qualitative Comparative Analysismentioning

confidence: 99%

“…Crisp-set QCA aims to simplify complicated and long expressions into the least complex solution (i.e., parsimonious) (Rihoux and Lobe 2012). Consequently, when different Boolean expressions cause the same outcome but differ in just one causal condition, the algorithm considers the causal condition that differentiates both expressions as irrelevant and removes it to build a more parsimonious combined expression (Shrestha et al 2021).…”

Section: Theoretical Basis Of Qualitative Comparative Analysismentioning

confidence: 99%

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Environmental Impact Assessment Effectiveness in Public–Private Partnerships: Study on the Colombian Toll Road Program

et al. 2023

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Public-private partnership (PPP) has been positioned as a relevant contracting method for developing large-scale infrastructure projects, which entail potentially high-magnitude negative impacts on the environment. The effectiveness of their Environmental Impact Assessment (EIA) is crucial to achieving sustainable development of these large-scale infrastructure projects. To unravel the drivers for the EIA effectiveness and the multiple combinations built by the complexity of these drivers, this paper analyzes 28 road PPP projects from Colombia employing a fuzzy-set qualitative comparative analysis (fsQCA) approach. This paper decodes conjectural causal links between specific conditions grouped in superordinate clusters (i.e., consultants' capability, project features, and communities' participation) and EIA effectiveness dimensions (i.e., normative, procedural, substantive, and transactive). Findings revealed that no single combination of causal conditions ensures multidimensional EIA effectiveness. This study demonstrated that EIA effectiveness relies significantly on the integration of specific features of three external stakeholders: consultants, nonpreferred proponents, and communities. This study constitutes the first empirical multidimensional identification of the combination of conditions that generate EIA effectiveness in road PPPs.

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Section: Theoretical Basis Of Qualitative Comparative Analysismentioning

confidence: 99%