scholarly journals Finding the Links between Risk Management and Project Success: Evidence from International Development Projects in Colombia

2020 ◽  
Vol 12 (21) ◽  
pp. 9294
Author(s):  
Rocío Rodríguez-Rivero ◽  
Isabel Ortiz-Marcos ◽  
Javier Romero ◽  
Luis Ballesteros-Sánchez
Keyword(s):  
Risk Management ◽  
Fuzzy Logic ◽  
Comparative Analysis ◽  
International Development ◽  
Cultural Differences ◽  
Direct Relationship ◽  
Project Success ◽  
Qualitative Comparative Analysis ◽  
Development Projects ◽  
Political Factors

The aim of this research is to help improve the effectiveness of international development projects (IDPs) with a focus on enhancing their success. For this purpose, this work seeks to identify links between the management of risks among five projects executed in Cauca (Colombia) and the success of these projects in terms of project management and impacts on the beneficiary communities. An analysis of these projects reveals the most critical risks encountered and the relationships between the management of those risks and the success of the projects. The use of fuzzy logic through the fuzzy-set qualitative comparative analysis (fsQCA) program is key to performing this difficult task. The results of a qualitative study reveal that the most important risks correspond to economic, cultural, and political factors. A quantitative analysis by fsQCA shows a direct relationship between the management of cultural differences and the positive impacts of IDPs on the beneficiary communities.

scholarly journals The methodology of the Logical Framework with a Risk Management Approach to Improve the Sustainability in the International Development Projects

2022 ◽  
Vol 14 (2) ◽  
pp. 756
Author(s):  
Rocío Rodríguez-Rivero ◽  
Isabel Ortiz-Marcos
Keyword(s):  
Risk Management ◽  
International Development ◽  
Management Approach ◽  
Development Projects ◽  
Logical Framework ◽  
Case Study Analysis ◽  
Analysis And Design ◽  
Framework Approach ◽  
Research Questions

When working with international development projects (IDPs), the use of the logical framework approach (LFA) prevails as the most important tool to plan and manage these projects. This paper presents how the methodology has been enriched, including risk management (LFRMA logical framework with risk management approach), proposing an original contribution, tested with professionals that will improve the effectiveness of IDPs by increasing their success rate and their sustainability. The steps followed to design the methodology (problem statement (literature review, interview with experts, questionnaire for professionals. and statistical analysis), case study analysis (eight case studies in Colombia, interviews with IDPs managers, focus groups, questionnaire for participants, qualitative analysis, and fuzzy analysis) and design of LFRMA (focus group with experts)) and the methodology itself (how to introduce risk management during all the life cycle through the methodology steps) are presented. Conclusions answer the research questions: can the effectiveness and sustainability of IDPs be improved? Can risk management help to improve IDPs effectiveness? Would it be useful to introduce risk management into the LFA? The LFRMA methodology consists of two fields of application, the first at the organization level and the second at the project level.

scholarly journals What determines national convergence of EU law? Measuring the implementation of consumer sales law

Legal Studies ◽  
2019 ◽  
Vol 39 (4) ◽  
pp. 714-734
Author(s):  
Catalina Goanta ◽  
Mathias Siems
Keyword(s):  
Comparative Analysis ◽  
Fuzzy Set ◽  
Qualitative Comparative Analysis ◽  
Policy Implications ◽  
Eu Law ◽  
Political Factors ◽  
European Consumer ◽  
Growing Body ◽  
Country Characteristics ◽  
The Eu

AbstractHarmonisation and legal convergence are core tasks of the EU. This paper explores the question about the determinants for national convergence of EU law, specifically applied to the ever-growing body of European consumer sales law. The measurement of national convergence is based on a unique coding of five directives in seven Member States. Using the fuzzy-set Qualitative Comparative Analysis (fsQCA) method, the paper finds that differences in national convergence can partly be explained by favourable features of the corresponding directives; however, mainly, they are the result of a combination of domestic political factors and, to a lesser extent, the country characteristics. This has important policy implications, for instance, on the need to ‘bring in politics’ in the debate about convergence, harmonisation and consumer sales law.

Fuzzy Multiple Attribute Conditions in fsQCA: Problems and Solutions

2017 ◽  
Vol 49 (2) ◽  
pp. 312-355 ◽  
Author(s):  
Francesco Veri
Keyword(s):  
Fuzzy Logic ◽  
Comparative Analysis ◽  
Fuzzy Set ◽  
Qualitative Comparative Analysis ◽  
Arithmetic Mean ◽  
Aggregation Techniques ◽  
Multiple Attribute ◽  
Different Types ◽  
Problems And Solutions ◽  
Problematic Issue

This article aims to clarify the fundamental aspects of aggregating fuzzy scores of conditions with multiple attributes in fuzzy set qualitative comparative analysis (fsQCA). Fuzzy multiple attribute conditions (FMACs) are conditions that are built using different types of concepts. FMACs are flexible conditions that express the ontological nature of the concept and deals with the causal heterogeneity. In fact, researchers can add a new attribute to a concept in order to consider the concept’s meaning vis-à-vis to the outcome of interest instead of only considering the theory. In relation to FMAC fuzzy scores, we have individuated one problematic issue which is the aggregation strategy of attributes that are already calibrated that should be able to capture conceptual properties of membership and similarity. In this article, we will employ an empirical example in order to deal with causal heterogeneity and aggregation strategies. After discussing the disadvantages of the aggregation techniques used by QCA scholars, we individuate an axiomatic framework for defining logical conjunction operators that allows one to aggregate parts of concepts in accordance with membership and similarity. Then, we propose a technique to assign fuzzy scores to FMAC using the arithmetic mean–based compensatory fuzzy logic. This technique indirectly affects the solution formula(s) following the QCA and allows one to better locate cases in the XY plot during the post-QCA analysis.

Social Risk-Management Strategies in Pastoral Systems: A Qualitative Comparative Analysis

2011 ◽  
Vol 45 (3) ◽  
pp. 286-317 ◽  
Author(s):  
Mark Moritz ◽  
Julia Giblin ◽  
Miranda Ciccone ◽  
Andréa Davis ◽  
Jesse Fuhrman ◽  
...  
Keyword(s):  
Risk Management ◽  
Comparative Analysis ◽  
Management Strategies ◽  
Qualitative Comparative Analysis ◽  
Social Risk ◽  
Pastoral Systems ◽  
Risk Management Strategies

Direct and configurational paths of knowledge-oriented leadership, entrepreneurial orientation, and knowledge management processes to project success

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
pp. 00-00
Author(s):  
Khawaja Fawad Latif ◽  
Omar Afzal ◽  
Adeel Saqib ◽  
Umar Farooq Sahibzada ◽  
Waqar Alam
Keyword(s):  
Knowledge Management ◽  
Comparative Analysis ◽  
Fuzzy Set ◽  
Entrepreneurial Orientation ◽  
Project Success ◽  
Qualitative Comparative Analysis ◽  
Content Type ◽  
Management Processes ◽  
The Impact ◽  
Knowledge Management Processes

PurposeDrawing on the knowledge-based view, the study aims to investigate the impact of knowledge management enablers (entrepreneurial orientation and knowledge-oriented leadership) on knowledge management processes and project success. The study further ascertains the specific combinations of knowledge management enablers and knowledge management processes that can lead to project success.Design/methodology/approachSurvey data were collected from 222 project workers in information technology projects, and the proposed relationships were assessed through partial least squares structural equation modeling while configuration paths were assessed using fuzzy-set qualitative comparative analysis.FindingsThe study found a significant impact of entrepreneurial orientation and knowledge-oriented leadership on knowledge management processes and project success. The analysis also revealed that knowledge management processes did not significantly impact project success. Moreover, the insights from fuzzy-set qualitative comparative analysis show a clear pattern of equifinality, in that there are multiple combinations of knowledge management enablers and knowledge management processes that can lead to a successful project.Originality/valueThe current study is one of the earlier studies to provide insights to knowledge-based view by demonstrating the inter-relationship of entrepreneurial orientation and knowledge-oriented leadership with knowledge management processes and project success. To the best of authors' knowledge, this is the first study to assess the impact of knowledge-oriented leadership on project success. With limited studies on impact of entrepreneurial orientation and knowledge-oriented leadership on knowledge management processes, the study enriches the literature on linkage of entrepreneurial orientation and knowledge-oriented leadership with knowledge management processes. Methodological contributions include use of fuzzy-set qualitative comparative analysis to reveal multiple pathways to project success.

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