Fuzzy Set or Fuzzy Logic? Comparing the Value of Qualitative Comparative Analysis (fsQCA) Versus Regression Analysis for the Study of Women's Legislative Representation

2012 ◽  
Vol 12 (1) ◽  
pp. 86-101 ◽  
Author(s):  
Daniel Stockemer
Keyword(s):  
Fuzzy Logic ◽  
Regression Analysis ◽  
Comparative Analysis ◽  
Fuzzy Set ◽  
Qualitative Comparative Analysis ◽  
Legislative Representation

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.

scholarly journals The influence of ethical judgements on acceptance and non-acceptance of wearables and insideables: Fuzzy set qualitative comparative analysis

2021 ◽  
Vol 67 ◽  
pp. 101689
Author(s):  
Jorge de Andrés-Sánchez ◽  
Mario Arias-Oliva ◽  
Jorge Pelegrín-Borondo ◽  
Ala’ Ali Mohammad Almahameed
Keyword(s):  
Comparative Analysis ◽  
Fuzzy Set ◽  
Qualitative Comparative Analysis

scholarly journals It takes two to tango: the interplay between decision logics, communication strategies and social media engagement in start-ups

2021 ◽  
Author(s):  
Christian Rudeloff ◽  
Stefanie Pakura ◽  
Fabian Eggers ◽  
Thomas Niemand
Keyword(s):  
Social Media ◽  
Comparative Analysis ◽  
Fuzzy Set ◽  
Exploratory Study ◽  
Communication Strategies ◽  
Qualitative Comparative Analysis ◽  
Communication Models ◽  
Social Media Engagement ◽  
Start Ups

AbstractThis manuscript analyzes start-ups’ usage of different communication strategies (information, response, involvement), their underlying decision logics (effectuation, causation, strategy absence) and respective social media success. A multitude of studies have been published on the decision logics of entrepreneurs as well as on different communication strategies. Decision logics and according strategies and actions are closely connected. Still, research on the interplay between the two areas is largely missing. This applies in particular to the effect of different decision logics and communication models on social media success. Through a combination of case studies with fuzzy-set Qualitative Comparative Analysis this exploratory study demonstrates that different combinations of causal and absence of strategy decision logics can be equally successful when it comes to social media engagement, whereas effectuation is detrimental for success. Furthermore, we find that two-way-communication is essential to create engagement, while information strategy alone cannot lead to social media success. This study provides new insights into the role of decision logics and connects effectuation theory with the communication literature, a field that has been dominated by causal approaches.

Motivation Configuration of Bluxury Tourism Behavior: An FsQCA Application

2021 ◽  
pp. 193896552110144
Author(s):  
Da Shi ◽  
Bowen Yi ◽  
Fangfang Shi ◽  
Simone Satta
Keyword(s):  
Comparative Analysis ◽  
Complexity Theory ◽  
Fuzzy Set ◽  
Qualitative Comparative Analysis ◽  
Complex Configuration ◽  
Physical Factors ◽  
Motivation Theory ◽  
Main Motivation ◽  
Push And Pull ◽  
Insight Into

This study investigates the motivation configuration of bluxury tourism behavior. According to complexity theory and push and pull motivation theory, we establish a framework of complex configuration conditions, including push forces, pull forces, and constraints that lead to bluxury tourism. Based on fuzzy-set qualitative comparative analysis, we identified seven main motivation configurations of bluxury tourism behavior covering three core factors: physical factors, seeking/exploration in push forces, and intangible factors in pull forces. In addition, combinations of constraints in the configuration demonstrate various paths leading to bluxury tourism behavior. These findings provide unique insight into bluxury tourism participation.

Knowledge Sharing in Catholic Organizations

2021 ◽  
Vol 17 (3) ◽  
pp. 31-49
Author(s):  
Carla Curado ◽  
João Graça ◽  
Mírian Oliveira ◽  
Alexandra Fernandes
Keyword(s):  
Organizational Culture ◽  
Comparative Analysis ◽  
Knowledge Sharing ◽  
Sense Of Community ◽  
Fuzzy Set ◽  
Qualitative Comparative Analysis ◽  
Culture Theory ◽  
Norms And Values ◽  
Organizational Culture Theory ◽  
Catholic Organizations

This study examines knowledge sharing in Catholic organizations. The authors adopt Schein's organizational culture theory that facilitates, or inhibits, knowledge sharing in organizations. Thus, they address the phenomenon at the three levels: the artifacts, the norms and values, and the underlying assumptions. Considering the chosen settings, they study the contributions of individuals having taken vows, the organizational rituals, the significance, and the sense of community perceived by the organizational members. Data were gathered using a survey and were analyzed by using a fuzzy-set qualitative comparative analysis. The study provides the causal configurations of conditions that lead to tacit, explicit, and total knowledge sharing. They also offer the causal configurations of conditions that lead to the absence of each kind of knowledge sharing. Given that the qualitative results cannot be generalized, the study can still be replicated in organizations without restrictions.

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