Search results for "Fuzzy set analysis"
showing 6 items of 6 documents
Ajuste familiar durante la pandemia de la COVID-19: un estudio de díadas
2020
The global pandemic of COVID-19 has brought a host of vital changes to society Families and their children have had to adapt to new routines and situations, which may have increased or aggravated the suffering of emotional symptoms However, the presence of resilience and positive emotional regulation strategies can cushion this impact on families with young children The aim of the present study is to know the variables that explained the problems of family emotional adjustment to the COVID-19 pandemic, considering the dyads of parents and their adolescent children Thirty-one dyads of adolescents between 11 and 19 years old (M = 13 90;SD = 1 85) and their main caregivers participated, 93 50%…
The fall and the fragmentation of national clusters: Cluster evolution in the paper and pulp industry
2012
Abstract A common expectation in evolutionary cluster studies is that national clusters engage in competitive interactions that lead to a continuous stream of changes in global dominance. Our fuzzy-set analysis on the evolution of the paper and pulp industry demonstrates that globalization has dramatically changed this situation. National clusters have largely faded away; the value chain dominance is now held by technology suppliers who are global hubs in majority of identifiable business activities in the focal industry. Our results imply that when industrial decline is accentuated by industrial concentration in some part of the value chain the national clusters may lose their importance.
Revisiting bank failure in the United States: a fuzzy-set analysis
2020
Past financial crises have illustrated the importance of recognising the combinations of factors that can cause financial distress in the banking industry. Accordingly, this study uses fuzzy-set qualitative comparative analysis (fsQCA) to identify the combinations of factors that lead to bank failure. The data consist of 30 annual financial ratio series for 156 U.S. banks over a 15-year period (2001–2015). Identifying combinations of conditions that can produce bank failure is crucial to help regulators and bank managers. The fsQCA presented in this paper sheds light on the relationships between combinations of conditions and bank failure, providing a solution comprising two sufficient and …
Determinants of translation-firm survival: A fuzzy set analysis
2016
Abstract This article presents an empirical analysis of determinants of the survival of firm or self-employed workers in the Spanish translation sector. In the midst of a global downturn, the survival of firm and self-employed workers is a key factor for the progress of the economy and for a better and more stable future. The analysis explores the combination of variables including human capital, contingency and economic investment that potentially drive translation and interpreting firms to survive. The study performs a comparative qualitative analysis using a fs/QCA methodology and identify seven combinations of causes that lead to the outcome. The results show that different causal paths…
Alternative paths to high performance of independent financial advisors: A fuzzy-set analysis
2016
Abstract This study performs a fuzzy-set Qualitative Comparative Analysis (fsQCA) to determine the conditions that lead to high performance of independent financial advisors. The study examines the performance of these companies in terms of their involvement in innovation activities, participation in business networks, and open innovation as a strategy to cope with difficult market conditions resulting from the recent economic downturn. This approach clarifies the relationship between combinations of conditions and high performance. The results suggest that involvement in innovation activities is the most relevant factor in financial advisors performance. Independent financial advisors may …
A fuzzy-set analysis of conditions influencing mutual fund performance
2019
Abstract This paper presents an application of fuzzy-set qualitative comparative analysis (fsQCA) to frame the conditions that lead to over- or under-performance of mutual funds. Building upon a considerable library of research on fund returns, the study uses fsQCA to affirm and extend earlier discoveries. Considered here is fund performance relative to Morningstar ratings, features of the funds themselves, as well as characteristics of the fund managers. Results suggest that positive Morningstar and analyst ratings are necessary conditions, on average, for funds to generate value according to the Jensen's alpha ratio. Just over seven percent of the cases imply that funds have attractive Sh…