Decodificando a judicialização de Terras Indígenas no Brasil: uma abordagem baseada na QCA

Qualitative comparative institutional analysis of environmental governance: Implications from research on payments for ecosystem services

Successful implementation of Building Information Model (BIM) -based modular construction projects is not always guaranteed in different regions and their associated contexts, because success depends heavily on combinations of multiple conditions, including technological, political, social and cultural, and economic ones. Such difference in conditions often hinders a successful modular construction company in a region from continuing its success in other regions; however, understanding the complex causality between the conditions and the success in implementation from previous BIM-based modular construction cases is very challenging because (1) each case omits some conditions and focuses too much on others, which makes the comparison difficult, and (2) cases are insufficient in number for dealing with various conditions, i.e., a small-N or intermediate-N situation. To address this problem, based on the review of previous case studies and modular construction theories, this paper classifies and defines nine condition variables that can be utilized in developing and analyzing BIM-based modular construction cases more comprehensively and systematically. This paper then discusses how the qualitative comparative analysis (QCA) approach can be used to find sufficient and necessary combinations of conditions for successful BIM-based modular construction projects. Upon successful completion, the QCA approach will contribute more structured and generalized explanations of success and failure in BIM-based modular construction to the industrialized construction theory.

This article aims to examine the complexity of lead investor's signaling by information disclosure in equity crowdfunding. We use 40 samples from a Chinese equity crowdfunding source to explore why lead investor influences followers' decision making and how lead investor signals effectively by using fuzzy‐set qualitative comparative analysis (fsQCA) approach. Our findings enrich the literature on the lead investors and syndicate by testing the complexity of signaling in equity crowdfunding, shed new light on investigating the decision‐making model of individuals at a disadvantage of information asymmetry, and offer insights into signaling strategically online.

To explore the mechanism of multiple conjunctural causation underlying differences in financial performance, this study selects 39 Chinese companies from the Fortune Global 500 as samples and applies configurational thinking and the qualitative comparative analysis (QCA) approach to integrate five variable conditions concerning corporate social responsibility (CSR). The results show that 3 path configurations achieve high financial performance. Specifically, the first configuration includes highly responsible governance, superior employee rights and interests, and effective environmental protection. The second configuration includes highly responsible governance, superior employee rights, and active public charity. The third configuration includes highly responsible governance, active public charity, and effective environmental protection. The four dimensions involved in the above three path configurations have alternative effects in interpreting financial performance. When the level of responsible governance ability is high, as long as any two conditions among employee rights and interests, environmental protection and public charity also attain a high level, this situation can drive the corporation to achieve high financial performance. Based on the conclusions of this paper, management implications from the perspectives of firms are also proposed.

We investigate the set of conditions leading to major employee turnover in the governance of large listed German companies further to labour market liberalization for non-standard employment. Using the Qualitative Comparative Analysis (QCA) approach, we illustrate that substantial employee turnover in the core manufacturing sector occurs under the restrictive context of high debt as a necessary condition. In the non-manufacturing sectors, in contrast, downsizing programmes take place under a set of permissive, and alternative, combinations of sufficient conditions driven by shareholder value maximisation objectives: the presence of ownership diffusion in the ownership structure of companies, the importance of highly financialized investors (hedge funds/private equity), or the presence of CEOs with an educational background in law and/or business management. We provide important insights for understanding patterns of change in corporate governance by integrating the QCA approach with theoretical perspectives stressing the characteristics of actors’ identities in combination with their external business environments. The diffusion of new practices in contested contexts will be characterised by the presence of necessary, and restrictive, conditions whilst more favourable contexts will be associated with the presence of non-competing (i.e. alternative) sets of sufficient conditions.

BackgroundThe sudden outbreak of COVID-19 in early 2020 pushed the online health-care communities (OHCs) into the public eye in China. However, OHCs is an emerging service model, which still has many problems such as low patient trust and low patient utilization rate. Patients are the users and recipients of web-based medical services, as well as the core of medical services. Thus, based on cue utilization theory, this paper studies combination effect of influencing factors in patients’ purchase of web-based medical services through the qualitative comparative analysis method of fuzzy sets (fsQCA).MethodsThis paper discards statistical methods based on variance theory-based relationships between explanatory and explained variables and uses a construct theory-based fuzzy set qualitative comparative analysis (fsQCA) approach to elucidate such complex relationships of patients' online purchasing behavior. We use a crawler to automatically download information from Haodf.com. This study crawled data in August 2020, involving 1210 physicians.ResultsService price, reputation and service quality are the key factors for patients’ purchasing behavior. Physician’s online reputation, online medical service price, number of published articles, mutual-help group, and appointment registration affect patients' purchasing behavior by means of weighted variation. Only when a high scope of internal attribute-related cue elements and a low scope of external attribute-related cue elements are combined with each other in a specific form, patients will generate purchase behavior.ConclusionThis paper clarifies the complex causes that promote to patients' purchasing behavior of web-based medical services, enriches and develops the relevant theories in the field of consumer purchasing behavior and online health-care communities market research, and has implications for governments, platforms, physicians and patients in the event of web-based medical service purchases.

This paper investigates conditional configurations for improving high‐tech enterprises' new product development (NPD) performance under complex environment of digital era in China. The results indicate that digital transformation is neither sufficient nor necessary for high NPD performance but a significant component of those configurations for high NPD performance. Through the fuzzy‐set qualitative comparative analysis (fsQCA) approach, four configurations for high NPD performance and four configurations for non‐high NPD performance are generated from complex nonlinear interactions among five antecedent conditions of NPD performance. Our findings enrich the literature on NPD performance and provide references on enterprises' decision making on digital transformation.

Exploring organizational propensity toward inbound–outbound marketing techniques adoption: The case of pure players and click and mortar companies

We investigate judiciary decision-making patterns regarding property rights conflicts between native Brazilians and rural farmers in the Midwest region of Brazil. Our main contribution is the use of the qualitative comparative analysis (QCA) method for the evaluation of the issue. We use QCA to examine a unique database composed of cases heard by a regional federal court in Brazil between 1999 and 2013. Our empirical analysis is based on the outcomes of the individual judicial procedures along with the specific laws and jurisprudences evoked by the federal judges in making their decisions. We find evidence that a major case settled by the Brazilian Supreme Court in 2009, celebrated as a landmark in national jurisprudence and expected to bring stability to the conflicts, did not have this effect on lower courts’ judgments. In fact, the 2009 decision triggered a proliferation of different interpretations among judges about how to analyze the land conflicts, thus changing the structure of the judges’ decisions. Based on these findings, we can shed new light on the dynamics of judicial decision-making regarding property rights conflicts of indigenous lands in Brazil.

Purpose This study aims to investigate the causal complexity of ECF investors’ peer effect through two different paths of structural social influence. Design/methodology/approach Using the fuzzy-set qualitative comparative analysis (fsQCA) approach, we employ 157 samples from a Chinese ECF source to explore how peer-effect are caused by both informational and normative mechanisms. Findings The findings suggests that there are multiple configurations could lead to ECF investors’ high level peer-effect through both informational and normative mechanisms, and the informational mechanism' role depends on the normative mechanism, while the normative mechanism could lead to peer-effect independently. Research limitations/implications The findings enrich the literature on ECF investors’ behaviors by revealing the diverse configurations resulting in investors’ peer-effect and shedding new light on investigating the decision-making driven by information asymmetry and relationship settings for individuals at a disadvantage. Originality/value This is the first study that investigates the multiple-driven of ECF investors’ decision-making and the importance of mutual norms in individuals' decision-making by complex network analysis approach and qualitative comparative analysis from the perspective of complexity. The results reveal the complexity of investors’ decision-making in ECF.

Abstract. Qualitative Comparative Analysis (QCA) overlaps logistic regression in explaining events, but challenges the latter's lack of accounting for causal complexity. QCA has only to a limited degree been applied to large‐N studies or individuals as cases and has not incorporated the logic of probability. QCA and logistic regression are compared with respect to logic, procedure and outcome. Political orientations from five national surveys are adapted to the requirements of the two methods. The methods are demonstrated on explanations of individuals' party preferences. QCA and logistic regression converge and overlap in identifying degrees of causal complexity, in ascertaining model significance and in identifying antecedents to party preference. Results differ in degree, not in kind. A slightly more nuanced picture emerges using the QCA approach, whereas logistic regression delivers greater parsimony. Choice of method(s) is not arbitrary. QCA can easily be used on any large‐N research problem. It should apply probability when appropriate.

Qualitative Comparative Analysis (QCA) is a descriptive research method that can provide causal explanations for an outcome of interest. Despite extensive quantitative assessments of the method, my objective is to contribute to the scholarly discussion with insights constructed through a qualitative lens. Researchers using the QCA approach have less ability to incorporate and nuance information on set membership as the number of cases grows. While recognizing the suggested ways to overcome such challenges, I argue that since setting criteria for membership, calibrating, and categorizing are crucial QCA aspects that require in-depth knowledge, QCA is unfit for larger-N studies. Additionally, I also discuss that while the method is able to identify various parts of a causal configuration—the ‘what’—it falls short to shed light on the ‘how’ and ‘why,’ especially when temporality matters. Researchers can complement it with other methods, such as process tracing and case studies, to fill in these missing explanatory pieces or clarify contradictions—which begs the question of why they would also choose to use QCA.

This research revisits the role of different foci of trust (interpersonal and inter-organizational), commitment (affective and calculative) and relationship lengths (inter-organizational and interpersonal) then on export relationship performance. 142 Ecuadorian non-oil exporters completed a self-administered questionnaire. This study applies fuzzy-set qualitative comparative analysis (fsQCA) and the findings help to re-establish the need for both trust dimensions and affective commitment in exporter–importer relationships. This research found three possible configurations of achieving high export relationship performance. The managerial implications noted that export managers should nurture trust and affective commitment to ensure improved relationship performance. This research is one of the very few studies to investigate the role of commitment and trust by taking a complexity theoretical turn. Exploring the causation of the relationship lengths on relationship performance also represents a novel contribution.

Corporate governance for sustainable development: A study on mechanism configuration

ESG and financial performance: A qualitative comparative analysis in China's new energy companies