On the use of qualitative comparative analysis in management

Kan, Anderson Konan Seny; Adegbite, Emmanuel; Omari, Sami El; Abdellatif, Mahamat

doi:10.1016/j.jbusres.2015.10.125

Cited by 130 publications

(49 citation statements)

References 49 publications

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“…Indeed, configurations play a crucial role in management research [52,53]. FsQCA is often applied in management research in conjunction with conventional statistical methods (regression for instance) [54][55][56]. However, it differs from them in the way that it prompts the researcher to go beyond mono-causality rationale and brings out the multiplicity of causal paths underlying management phenomena by using fsQCA software [57].…”

Section: Asymmetrical Modeling Approachmentioning

confidence: 99%

Analyzing Supply Chain Uncertainty to Deliver Sustainable Operational Performance: Symmetrical and Asymmetrical Modeling Approaches

2017

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Abstract:The purpose of this study is to analyze different types of supply chain uncertainties and suggest strategies to deal with unexpected contingencies to deliver superior operational performance (OP) using symmetrical and asymmetrical modeling approaches. The data were collected through a survey given to 146 supply chain managers within the fast moving consumer goods industry in Thailand. Symmetrical modeling is applied via partial least squares structural equation modeling (PLS-SEM) in order to assess the theoretical relationships among the latent variables, while asymmetrical modeling is applied via fuzzy set qualitative comparative analysis (fsQCA) to emphasize their combinatory causal relation. The empirical results support the theory by highlighting the mediating effect of supply chain strategy (SCS) in the relation between supply chain uncertainty (SCU) and firms' OP and, hence, deliver business sustainability for the firms, demonstrating that the choice of SCS should not be an "either-or" decision. This research contributes by providing an illustration of a PLS-SEM and fsQCA based estimation for the rapidly emerging field of sustainable supply chain management. This study provides empirical support for resource dependence theory (RDT) in explaining the relation between SCU and SCS, which leads to sustainable OP. From a methodological standpoint, this study also illustrates predictive validation testing of models using holdout samples and testing for causal asymmetry.

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Section: Asymmetrical Modeling Approachmentioning

confidence: 99%

Analyzing Supply Chain Uncertainty to Deliver Sustainable Operational Performance: Symmetrical and Asymmetrical Modeling Approaches

2017

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“…To some extent, this tool presents many similarities with MCDA. We can also come to the conclusion that QCA, a method theorized by John Stuart Mill in 1843 and popularised by Ragin in 1987 (Kan, Adegbite, El Omari & Abdellatif, 2016) and used in many sectors opened the door to many other approaches, stream of thoughts and more importantly, accurate and precise research tool. Among these are the Blakeley Model (2007) mentioned earlier in this sub-section.…”

Section: Multi Criteria Decision Analysismentioning

confidence: 98%

“…In order to achieve our objectives, a qualitative comparative analysis (QCA) will be adopted. This approach is mainly used to study four issues: Internal organisational process; organisational external environment; overlap within and between organisational environments and finally promoting a methodological alternative (Kan, Adegbite, El Omari & Abdellatif, 2016). This book chapter falls into all four categories.…”

Section: Introductionmentioning

confidence: 99%

“…Still regarding the methodology, Haiti, a post-colonial, post-conflict and postdisaster destination (Séraphin, Butcher & Korstanje, 2016) which also a well is known destination for Voodoo (Séraphin & Nolan, 2014), will be utilised as a case study. From a structural point of view, the chapter is going to be largely but not exclusively inspired by Kan, Adegbite, El Omari & Abdellatif (2016), a methodological paper that focuses on Qualitative Comparative Analysis (QCA).…”

Section: Introductionmentioning

confidence: 99%

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On the Use of Qualitative Comparative Analysis to Identify the Bright Spots in Dark Tourism

Séraphin

Gowreeesunkar

2018

Advances in Hospitality, Tourism, and the Services Industry

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As Haiti lacks visitor attractions, the development of an authentic event programme is going to be an essential part of the on-going tourism strategy. Culturally rich events are part of the appeal of a destination and can be cost efficient to organise. Furthermore it is well documented that planned events have the ability to improve national pride in small developing countries. From our findings we have highlighted the fact that Voodoo has helped the Haitian people to maintain its true nature and culture and now offer economic development options to the destination. The development of voodoo events will enhance Haiti's tourism and provide opportunities for locals to embrace their cultural heritage and come to terms with their past. That said, unless the ‘blind spots' of the destination are removed, there is no empirical evidence to confirm that tourism will bring prosperity to Haiti nor that voodoo can play a significant role in the country's tourism sector.

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“…We used qualitative comparative analysis (QCA) to complete the data analysis because this theoretical method with sets, explicitly conceptualizes cases as configurations of specific attributes [137]. The application of QCA, and particularly fsQCA, is a relatively new approach in the social sciences and has currently become very popular in management and business research [138], as it contemplates both quantitative (oriented to variables) and qualitative (oriented to cases) strategies. While regression-based analyses or structural equation models only provide a single solution to achieve a result, QCA aims to find combinations of necessary and/or sufficient conditions that lead to a specific result [139,140].…”

Section: Test Using a Fuzzy-set Qualitative Comparative Analysis (Fsqca)mentioning

confidence: 99%

Service Quality and Customer Loyalty in a Post-Crisis Context. Prediction-Oriented Modeling to Enhance the Particular Importance of a Social and Sustainable Approach

et al. 2019

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Research into the influence of service quality on customer loyalty has typically focused on confirming isolated direct causal influences regarding particular dimensions of quality, usually undertaken in the context of positive, firm-customer relations. The present study extends analysis of these factors through a new lens. First, the study was undertaken in a market context following a crisis that has had far-reaching consequences for customers’ relational behaviors. We explore the case of the Spanish banking industry, a sector that accurately reflects these new relational conditions, including a rising demand for more socially responsible banking. Second, we propose a holistic model that combines the effects of four key factors associated with service quality (outcome, personnel, servicescape and social qualities). We also apply an innovative predictive methodological technique using partial least squares (PLS) and qualitative comparative analysis (QCA) that enables us not only to determine the direct causal effects among variables, but also to consider different scenarios in which to predict customer loyalty. The results highlight the role of outcome and social qualities. The novelty of the social qualities factor helps to underscore the importance of social, ethical and sustainable practices to customer loyalty, although personnel and servicescape qualities must also be present to improve the predictive capability of service quality on loyalty.

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On the use of qualitative comparative analysis in management

Cited by 130 publications

References 49 publications

Analyzing Supply Chain Uncertainty to Deliver Sustainable Operational Performance: Symmetrical and Asymmetrical Modeling Approaches

Analyzing Supply Chain Uncertainty to Deliver Sustainable Operational Performance: Symmetrical and Asymmetrical Modeling Approaches

On the Use of Qualitative Comparative Analysis to Identify the Bright Spots in Dark Tourism

Service Quality and Customer Loyalty in a Post-Crisis Context. Prediction-Oriented Modeling to Enhance the Particular Importance of a Social and Sustainable Approach

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