The Choice between Crisp and Fuzzy Sets in Qualitative Comparative Analysis and the Ambiguous Consequences for Finding Consistent Set Relations

Field Methods ◽  
2019 ◽  
Vol 32 (1) ◽  
pp. 75-88
Author(s):  
Ingo Rohlfing

Empirical researchers using qualitative comparative analysis (QCA) can work with crisp, multivalue, and fuzzy sets. The relative advantages of crisp and multivalue sets have been discussed in the QCA literature. There has been little reflection on the more frequent decision between crisp and fuzzy sets for which there often is no theoretical guidance. A review shows that researchers often prefer fuzzy over crisp sets, sometimes because they contain more information. This meets with the argument that fuzzy sets produce more conservative consistency measures and constitute tougher tests. In my article, I demonstrate analytically and with data from published QCA studies that the relationship between crisp sets, fuzzy sets, and the consistency score is ambiguous. It depends on the distribution of cases whether the consistency value is more or less conservative for fuzzy sets than for crisp sets. I outline the implications of the ambiguous relationship for empirical research.

2021 ◽  
Vol 13 (10) ◽  
pp. 5445
Author(s):  
Muyun Sun ◽  
Jigan Wang ◽  
Ting Wen

Creativity is the key to obtaining and maintaining competitiveness of modern organizations, and it has attracted much attention from academic circles and management practices. Shared leadership is believed to effectively influence team output. However, research on the impact of individual creativity is still in its infancy. This study adopts the qualitative comparative analysis method, taking 1584 individuals as the research objects, underpinned by a questionnaire-based survey. It investigates the influence of the team’s shared leadership network elements and organizational environmental factors on the individual creativity. We have found that there are six combination of conditions of shared leadership and organizational environmental factors constituting sufficient combination of conditions to increase or decrease individual creativity. Moreover, we have noticed that the low network density of shared leadership is a sufficient and necessary condition of reducing individual creativity. Our results also provide management suggestions for practical activities during the team management.


Author(s):  
Ming Yi ◽  
Shenghui Wang ◽  
Irene E. De Pater ◽  
Jinlian Luo

Abstract. Research on the relationship between personality traits and employee voice has predominantly focused on main effects of one or more traits and has shown equivocal results. In this study, we explore relationships between configurations (i.e., all logically possible combinations) of the Big Five traits and promotive and prohibitive voice using fuzzy-set qualitative comparative analysis. Survey data from 171 employees from 10 organizations in the service industry revealed that none of the traits alone could induce promotive or prohibitive voice. Yet, we found three trait configurations that relate to promotive voice and four configurations that relate to prohibitive voice. We use the theory of purposeful work behavior to explain the different trait configurations for promotive and prohibitive voice.


2018 ◽  
Vol 1 (1) ◽  
pp. 809-816
Author(s):  
Anna Kwiotkowska ◽  
Magdalena Gębczyńska

Abstract The purpose of this paper is to explore causal complexity in the relationship between environmental uncertainty and firm’s performance. Due to complexity in the external and internal environment, the relationship between environment and firm performance rests not only on a single attribute but on the interrelation and complementarities between multiple characteristics such as firm features and external factors. This study examines the influence of a firm’s specific characteristics and the dimensions of environmental uncertainty on the company’s performance. Fuzzy-set qualitative comparative analysis is used to analyze data collected via questionnaires from 58 Polish small and medium enterprises (SMEs). The results suggest that characteristics of the general business environment, as well as the firm-specific characteristics all matter to firm performance. In addition, our findings clearly demonstrate that the determination of high firm performance is underpinned by substantial interdependence among the selected conditions and complexity. Therefore, any particular condition may have a different or even opposite effect on the outcome depending on the presence or absence of other conditions. Based on this, we conclude that external environmental uncertainty characteristics, with the dimensions of competitive intensity, technological turbulence and market/demand turbulence, are not as important as the other conditions for high-performing firms. The study offers a new perspective on the relationship between environmental uncertainty and firm performance with its systematic comparative analysis of complex cases. It identifies different combinations of conditions (paths) leading to a high firm performance.


Author(s):  
Carsten Q. Schneider

Macro-qualitative (MQ) approaches to the study of regime transformation can be defined as those that (a) in order to describe or explain macro-level phenomena (b) predominantly use qualitative data and (c) make claims about these phenomena in terms of set relations. MQ approaches can be static or dynamic and are normally used for single-case or small- to medium-N-sized studies. The set of methods employed in MQ research thus defined ranges from qualitative comparative analysis (QCA) to sequence elaboration and process tracing. Classics in the MQ transformation literature can be interpreted in terms of set theory. For instance, Lipset (1959) famously claimed that there are social conditions that are necessary for the functioning of democracy.


2019 ◽  
Vol 11 (6) ◽  
pp. 1779 ◽  
Author(s):  
Yongbo Sun ◽  
Xiaojuan Hu ◽  
Yixin Ding

As important situational factors in the workplace, challenge stressors play an important role in stimulating employee creativity. This study used self-efficacy and emotional exhaustion as intervening processes to delve into the impact of promotion and depletion mechanisms of challenge stressors on employee creativity. According to the theory of resource conservation, the study explores the moderating effect of learning and relaxing at work on the promotion and depletion mechanisms of challenge stressors. Fuzzy-set qualitative comparative analysis was conducted to analyze the effect of a combination of factors on employee creativity. A total of 240 valid paired-samples were collected from employees of three enterprises in information technology, finance, and evaluation services industries. This study drew the following conclusions. Challenge stressors have a direct positive effect on employee creativity, self-efficacy and emotional exhaustion have partial mediating effects on the relationship between challenge stressors and employee creativity, learning positively moderates the relationship between challenge stressors and self-efficacy, and qualitative comparative analysis reveals three configurations that improve employee creativity.


Author(s):  
Claudius Wagemann

Qualitative Comparative Analysis (QCA) is a method, developed by the American social scientist Charles C. Ragin since the 1980s, which has had since then great and ever-increasing success in research applications in various political science subdisciplines and teaching programs. It counts as a broadly recognized addition to the methodological spectrum of political science. QCA is based on set theory. Set theory models “if … then” hypotheses in a way that they can be interpreted as sufficient or necessary conditions. QCA differentiates between crisp sets in which cases can only be full members or not, while fuzzy sets allow for degrees of membership. With fuzzy sets it is, for example, possible to distinguish highly developed democracies from less developed democracies that, nevertheless, are rather democracies than not. This means that fuzzy sets account for differences in degree without giving up the differences in kind. In the end, QCA produces configurational statements that acknowledge that conditions usually appear in conjunction and that there can be more than one conjunction that implies an outcome (equifinality). There is a strong emphasis on a case-oriented perspective. QCA is usually (but not exclusively) applied in y-centered research designs. A standardized algorithm has been developed and implemented in various software packages that takes into account the complexity of the social world surrounding us, also acknowledging the fact that not every theoretically possible variation of explanatory factors also exists empirically. Parameters of fit, such as consistency and coverage, help to evaluate how well the chosen explanatory factors account for the outcome to be explained. There is also a range of graphical tools that help to illustrate the results of a QCA. Set theory goes well beyond an application in QCA, but QCA is certainly its most prominent variant. There is a very lively QCA community that currently deals with the following aspects: the establishment of a code of standards for QCA applications; QCA as part of mixed-methods designs, such as combinations of QCA and statistical analyses, or a sequence of QCA and (comparative) case studies (via, e.g., process tracing); the inclusion of time aspects into QCA; Coincidence Analysis (CNA, where an a priori decision on which is the explanatory factor and which the condition is not taken) as an alternative to the use of the Quine-McCluskey algorithm; the stability of results; the software development; and the more general question whether QCA development activities should rather target research design or technical issues. From this, a methodological agenda can be derived that asks for the relationship between QCA and quantitative techniques, case study methods, and interpretive methods, but also for increased efforts in reaching a shared understanding of the mission of QCA.


Author(s):  
Kevin Kalomeni ◽  
Claudius Wagemann

This chapter examines qualitative comparative analysis (QCA), which strives to bridge the methodological rift between case study-based research and quantitative studies. QCA belongs to the broader family of configurational comparative methods (CCMs). From an analytical perspective, QCA can be distinguished from quantitative approaches. The emphasis shifts from covariance to the analysis of set relations. Being strongly tied to a profound theoretical and conceptual reasoning which is typical for comparison in general, the analysis of set relations is based on three steps: first, a score is attributed to a social phenomenon (representing either a dichotomous or a graded set membership), usually in relation to other phenomena. Second, necessary conditions are defined. Third, through the help of a truth table analysis, (combinations of) sufficient conditions are analysed.


2010 ◽  
Vol 9 (3) ◽  
pp. 397-418 ◽  
Author(s):  
Carsten Q. Schneider ◽  
Claudius Wagemann

AbstractAs a relatively new methodological tool, QCA is still a work in progress. Standards of good practice are needed in order to enhance the quality of its applications. We present a list from A to Z of twenty-six proposals regarding what a “good” QCA-based research entails, both with regard to QCA as a research approach and as an analytical technique. Our suggestions are subdivided into three categories: criteria referring to the research stages before, during, and after the analytical moment of data analysis. This listing can be read as a guideline for authors, reviewers, and readers of QCA.


2016 ◽  
Vol 69 (4) ◽  
pp. 1261-1264 ◽  
Author(s):  
Norat Roig-Tierno ◽  
Kun-Huang Huarng ◽  
Domingo Ribeiro-Soriano

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