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Qualitative Comparative Analysis (QCA) is a promising, powerful method that is increasingly used for IS research. However, the Information Systems (IS) discipline still lacks a shared understanding of how to conduct and report QCA. This paper introduces the fundamental concepts of QCA, summarizes the status quo, and derives recommendations for future research.

A descriptive literature review in major IS outlets summarizes how and why QCA has been used in the IS discipline, critically evaluates the status quo, and derives recommendations for future QCA studies.

The literature review reveals 32 empirical research articles in major IS journals that have used the QCA method. Articles applied QCA to a broad range of research topics at the individual and organizational levels, mainly as a standalone analysis for theory development, elaboration and testing. The authors also provide evidence that most published IS research articles do not take full advantage of the potential QCA, such as analyzing necessary causal conditions or testing the robustness of QCA results. The authors provide seven actionable recommendations for future IS research using QCA.

The literature review assesses the status quo of QCA’s application in the IS discipline and provides specific recommendations on how IS researchers can leverage the full potential of QCA.

Qualitative Comparative Analysis (QCA), initiated by Charles C. Ragin, is a research strategy with distinctive added value for organization studies. QCA constitutes in essence two configurational approaches, each grounded in set theory. One approach uses crisp-sets (dichotomous variables) to analyze cases. The other approach uses fuzzy-sets. While the use of fuzzy-sets has been increasing over the last few years, the crisp-set (csQCA) approach is still used in a majority of empirical applications. This chapter discusses in-depth the application of csQCA in organization studies. This chapter starts with a stylized presentation of two dominant research strategies, case-based research and variable-based research, and how csQCA relates to them. Subsequently, csQCA is further introduced and the different applications in organization studies are discussed. This section ends with a brief step-wise “how to” presentation. The chapter then turns to a presentation of the main distinctive strengths of the approach. In the final part, the chapter discusses extensively the main criticisms which have been raised with regard to (cs)QCA and draws out some of the main implications of this discussion.

The purpose of this research is to examine why communities facing the same disaster recover differentially and determine pathways to successful disaster recovery in the research setting of New Orleans neighborhoods affected by Hurricane Katrina. While previous studies suggest that there are a variety of pathways to recovery, a broader cross-case comparison is necessary to generalize these pathways into a recovery framework. Specifically, this study seeks to determine what pre-disaster and post-disaster causal factors, alone or in combination, were important to recovery following Hurricane Katrina.

This paper presents a cross-case comparative study of neighborhood-level recovery. Based on prior work, which used the Delphi method to determine hypothesized causal factors and indicators of recovery, data was collected through publically available sources, including the US Census, the Greater New Orleans Community Data Center and previously completed studies for 18 damaged neighborhoods. Fuzzy-set qualitative comparative analysis was used due to its ability to analyze both quantitative and qualitative data for smaller case studies.

The results show that there are multiple pathways combining pre-disaster community factors and post-disaster actions that led to recovery, as measured by population return. For example, economic capacity is nearly sufficient for recovery, but a combination of low social vulnerability, post-disaster community participation, a high proportion of pre-World War II housing stock and high amounts of post-disaster funds also led to recovery.

This research uses a novel method to link pre-disaster measures of resilience and vulnerability to recovery outcomes and, through cross-case comparison, generates results that will enable researchers to develop a theory of sustainable community recovery.

The purpose of this paper is to provide comprehensive mapping of qualitative comparative analysis (QCA) applications in business and management research and to examine the sub-fields of corporate governance research in this context.

Through a systematic literature review of 22 articles, the paper describes and analyses how QCA is used in the corporate governance field, what can be learned from the methodology’s implementation in corporate governance studies and why authors justify its use.

The findings highlight that QCA in corporate governance is still at an early stage of development. The paper encourages governance scholars to use this method to transform QCA from a niche into a mainstream method because it is appropriate for understanding both complex phenomena of social reality and issues of corporate governance that require an approach able to capture configurations of conditions, asymmetric patterns and equifinal explanations.

This is the first complete overview of the existing literature concerning QCA’s application in corporate governance research and reveals implications for its future use. In this way, it extends the previous work on QCA’s benefits to management researchers and other critical reviews of applications in QCA. This study encourages scholars to renew their understanding of corporate governance issues through a new analysis method that can help to discover conceptual and empirical relations among case-oriented and variable-oriented analyses in terms of interrelations to examine corporate governance practices holistically.

The purpose of this paper is to provide a research agenda for qualitative studies in the field of strategic management (SM) in the Baltic area.

A total of 167 SM-related articles in this area between 2000 and 2013 were found. The content within title, abstract and authors’ keywords was analysed by means of a multiple correspondence analysis based on the HOMALS technique.

The intellectual structure of SM in the Baltic area is to some extent similar to the global structure of the field. Hence research on this topic in the Baltic area is well integrated in the field. Three topics of interest have been identified while the fourth seems to offer more limited opportunities for qualitative studies. These are: entry and competition; strategic behaviour and the micro-foundations of strategy; the growth-performance relationship; and global strategies.

Despite the modest number of articles in our sample, the findings are consistent with past research on the structure of the SM field. The classification of articles into qualitative- and quantitative-based methods helped provide a research agenda.

SM scholars in the Baltic area may find this paper as an interesting input to their quest for finding and justifying their own research path.

This is an original literature review. The use of a quantitative method in the literature review and the suggested matrix is a second original contribution to evolving methodologies for content analysis. The method allows the inclusion of large samples while limiting the use of scholars’ intuition.

This paper aims to analyze the determinants of broadband diffusion, taking into account supply‐side factors such as market entry regulation and demand‐side factors such as secondary education attainment.

This paper analyzes 27 countries from the European Union (EU) from 1996 to 2009 using qualitative comparative analysis (QCA), which combines quantitative and qualitative methods.

The main findings point out that there is one way for “innovator” adopters and “laggard” adopters in broadband diffusion, while there are few ways for the remaining adopters. Moreover, high entry regulation is associated more with “innovator” adopters, “early adopters” and “early majority adopters” in broadband diffusion, while medium and low entry regulations are associated more with “late majority” and “laggard” adopters in broadband diffusion.

This paper suggests that high secondary school attainment is a necessary factor for broadband innovator countries. By contrast, low income and low secondary school attainment are factors connected with late majority and laggard broadband adopters.

At present, there is no other research about broadband diffusion or technology diffusion that uses this mixed approach. While the results may not be very conclusive, they will serve as an initial springboard for further research into more specific‐variable studies.

This study intends to explore the configuration that affects the active degree of written questions in the Macau Legislative Assembly.

This study takes the members elected by the sixth Legislative Assembly of Macau as samples and uses the fuzzy set qualitative comparative analysis method. Five conditional factors are discussed, including multiple concurrent factors and complex causal mechanisms, which lead to the difference in the active degree of written questions.

The main conclusions are as follows: (1) Not Serving in the government is a necessary condition for a high active degree of the written question, and (2) The driving mechanism of a high active degree of written question can be divided into two paths. Among them, direct election into the Legislative Assembly is the crucial factor.

Traditional research mainly uses quantitative research methods. This study uses qualitative comparative analysis (QCA), which is a hybrid method designed to bridge the qualitative (case-oriented) and quantitative (variable-oriented) research gap.

The purpose of this paper is to explore the configuration of factors affecting the accuracy of triage decision-making. The contribution of the work is twofold: first, it develops a protocol for applying a fuzzy-set qualitative comparative analysis (fsQCA) in the context of triage decision-making, and second, it studies, through two pilot cases, the interplay between individual and organizational factors in determining the emergence of errors in different decisional situations.

The methodology adopted in this paper is the qualitative comparative analysis (QCA). The fuzzy-set variant of QCA (fsQCA) is implemented. The data set has been collected during field research carried out in the Emergency Departments (EDs) of two Italian public hospitals.

The results of this study show that the interplay between individual and contextual/organizational factors determines the emergence of errors in triage assessment. Furthermore, there are some regularities in the patterns discovered in each of the investigated organizational contexts. These findings suggest that we should avoid isolating individual factors from the context in which nurses make their decisions.

Previous research on triage has mainly explored the impact of homogeneous groups of factors on the accuracy of the triage process, without considering the complexity of the phenomenon under investigation. This study outlines the need to consider the not-linear relationships among different factors in the study of triage’s decision-making. The definition and implementation of a protocol to apply fsQCA to the triage process in EDs further contributes to the originality of the research.

The paper examines whether the hybrid strategy can generate high performance and what hybrid strategy configurations are more conducive to high performance.

This paper explores the complex causal relationships between six strategic elements (marketing, growth, R&D, capital, efficiency, stability) and firm performance. From a configurational approach, the authors utilize necessary condition analysis, time-series qualitative comparative analysis, and typical case extraction techniques to analyze 944 balanced panel data from 118 Chinese ICT firms during 2013–2020.

Chinese ICT sector firms do not rely on pure strategies (prospector or defender) to achieve high performance. The hybrid strategy is conducive to high performance. Only specific hybrid strategy configurations, including stable growth, innovative efficiency, and two-way player types, could enable firms to perform well. Six strategic elements do not constitute a necessary condition for high performance.

This paper proposed an integrated qualitative comparative analysis scheme, proved the effectiveness of the hybrid strategy on firm performance, and revealed how hybrid strategy configurations generate high performance.

The purpose of this paper is to critically reflect and offer insights on how to justify the use of qualitative comparative analysis (QCA) as a research method for understanding the complexity of organizational phenomena, by applying the principles of the neo-configurational approach.

We present and critically examine three arguments regarding the use of QCA for management research. First, they discuss the need to assume configurational theories to build and empirically test a causal model of interest. Second, we explain how the three principles of causal complexity are assumed during the process of conducting QCA-based studies. Third, we elaborate on the importance of case knowledge when selecting the data for the analysis and when interpreting the results.

We argue that it is important to reflect on these arguments to have an appropriate research design. In the true spirit of the configurational approach, we contend that the three arguments presented are necessary; however, each argument is insufficient to warrant a QCA research design.

This paper contributes to management research by offering key arguments on how to justify the use of QCA-based studies in future research endeavors.