Exploring the value relevance of corporate reputation: A fuzzy-set qualitative comparative analysis

Contractual incompleteness and renegotiations of public private partnerships: A mixed-methods analysis

“…(Ragin, 2008). According to Wang et al (2016), consistency means significance because of the existence of multiple configurations of antecedent conditions that are useful in predicting scores of an outcome condition. Coverage means strength that indicates the empirical relevance of a settheoretic connection.…”

“…This work uses mixed methods as a way of developing the analysis and building on the initial findings. Several studies provide evidence that the fsQCA brings a more advance approach to providing explanations for specific outcomes (Ragin, 2000;Woodside, 2013) and for a phenomenon that has complex explanations (Wang, Yu, & Chiang, 2016). This approach is also useful when dealing with a small number of observations (but also large samples), unlike regressions that require large samples (Schneider & Wagemann, 2010;Fiss, Sharapov, & Cronqvist, 2013).…”

Inclusions in and Exclusions from the S&P 500 Environmental and Socially Responsible Index: A Fuzzy-Set Qualitative Comparative Analysis

“…Because of their focus on the influence of ESG-related factors on financial performance, or their analysis of SRI indices, five contributions applying fsQCA are closest to this study's aim. Wang et al [94] explore the sufficiency conditions of reputation in explaining firm's market value (common stock price), using three reputation-measurement instruments together with book value and EPS. Paniagua et al [95] analyse the impact on ROE of diverse corporate boards and firm characteristics, and find an interesting exception to the general rule where higher leverage and property dispersion demand an extended board of directors to reach a higher ROE.…”

“…Low configuration coverages are common when there are many causal configurations, so it is assumed that they do not imply less relevance as the path is useful to explain a number of cases in which the outcome takes place [16,84]. Thus, high consistency is more important than high coverage [94].…”

“…Due to a lack of theoretical specifications of "high" versus "low" scores, calibration of "noyears" and "noreports" and the six financial conditions followed the distribution of the actual data. We use the 95th, 5th and 50th percentiles [92,94] to determine full membership, full non-membership and the crossover point, respectively.…”