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Book part
Publication date: 8 June 2011

Thomas Greckhamer and Kevin W. Mossholder

Purpose – This chapter examines the potential of qualitative comparative analysis (QCA) for strategy research.Methodology/approach – We introduce the set-theoretic…

Abstract

Purpose – This chapter examines the potential of qualitative comparative analysis (QCA) for strategy research.

Methodology/approach – We introduce the set-theoretic framework of QCA and provide an overview of recent methodological developments.

Findings – We utilize a variety of examples relevant to strategy research to illustrate the action steps and key concepts involved in conducting a QCA study.

Originality/value of paper – We develop examples from core research areas in strategic management to illustrate QCA's potential for examining issues of causality and diversity in strategy research, and in settings involving medium-N samples. We conclude by emphasizing that QCA offers an alternative mode of inquiry to open and redirect important lines of strategy research.

Details

Building Methodological Bridges
Type: Book
ISBN: 978-1-78052-026-1

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Book part
Publication date: 10 April 2019

Petteri T. Leppänen, Aaron F. McKenny and Jeremy C. Short

Research in entrepreneurship is increasingly exploring how archetypes, taxonomies, typologies, and configurations can help scholars understand complex entrepreneurial…

Abstract

Research in entrepreneurship is increasingly exploring how archetypes, taxonomies, typologies, and configurations can help scholars understand complex entrepreneurial phenomena. We illustrate the potential for set-theoretic methods to inform this literature by offering best practices regarding how qualitative comparative analysis (QCA) can be used to explore research questions of interest to entrepreneurship scholars. Specifically, we introduce QCA, document how this approach has been used in management research, and provide step-by-step guidance to empower scholars to use this family of methods. We put a particular emphasis on the analytical procedures and offer solutions to dealing with potential pitfalls when using QCA-based methods and highlight opportunities for future entrepreneurship research.

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Standing on the Shoulders of Giants
Type: Book
ISBN: 978-1-78756-336-0

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Article
Publication date: 29 April 2021

Jens Mattke, Christian Maier, Tim Weitzel and Jason Bennett Thatcher

Qualitative Comparative Analysis (QCA) is a promising, powerful method that is increasingly used for IS research. However, the Information Systems (IS) discipline still…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Internet Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 23 May 2019

Nicola Cucari

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Corporate Governance: The International Journal of Business in Society, vol. 19 no. 4
Type: Research Article
ISSN: 1472-0701

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Article
Publication date: 28 April 2020

Bjoern Ivens, Florian Riedmueller and Peter van Dyck

The purpose of this paper is to provide meaningful information about sponsorship management in state-owned enterprises.

Abstract

Purpose

The purpose of this paper is to provide meaningful information about sponsorship management in state-owned enterprises.

Design/methodology/approach

Qualitative and quantitative data from Germany are analyzed in a case study approach using fuzzy-set qualitative comparative analysis (Fs/QCA)—an analytic method relevant for describing configurational patterns of causal factors.

Findings

The case study of sponsorships from state-owned enterprises in Germany reveals four alternative configurations of top-management support, sponsee prominence, standardized processes, and sponsorship leverage explaining sponsor satisfaction.

Originality/value

The paper combines two underrepresented but important aspects of sponsorship research, i.e. sponsorship management in state-owned enterprises, in an empirical study. Further, present study adds to sponsorship literature by pointing to fuzzy-set Fs/QCA as a relatively novel method that can capture the phenomenon of complex causality.

Details

International Journal of Sports Marketing and Sponsorship, vol. 21 no. 4
Type: Research Article
ISSN: 1464-6668

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Article
Publication date: 9 August 2018

Cristina Ponsiglione, Adelaide Ippolito, Simonetta Primario and Giuseppe Zollo

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

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Book part
Publication date: 25 April 2013

Thomas Greckhamer, Vilmos F. Misangyi and Peer C. Fiss

Although QCA was originally developed specifically for small-N settings, recent studies have shown its potential for large-N organization studies. In this chapter, we…

Abstract

Although QCA was originally developed specifically for small-N settings, recent studies have shown its potential for large-N organization studies. In this chapter, we provide guidance to prospective researchers with the goal of opening up QCA’s potential for widespread use in organization studies involving large-N settings, both as an alternative and as a complement to conventional regression analyses. We compare small-N and large-N QCA with respect to theoretical assumptions and objectives, processes and decisions involved in building the causal model, selecting the sample, as well as analyzing the data and interpreting the results. Finally, we discuss the prospects for large-N configurational analysis in organization studies and related fields going forward.

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Configurational Theory and Methods in Organizational Research
Type: Book
ISBN: 978-1-78190-778-8

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Article
Publication date: 4 November 2014

Elizabeth Jordan, Amy Javernick-Will and Bernard Amadei

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

International Journal of Disaster Resilience in the Built Environment, vol. 5 no. 4
Type: Research Article
ISSN: 1759-5908

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Article
Publication date: 16 November 2012

Venkata Santosh Kumar Delhi, Ashwin Mahalingam and Seshanka Palukuri

The aim of this paper is to identify the combinations of economic, normative, reputational and cognitive mechanisms that can prevent post‐award governance challenges on…

Abstract

Purpose

The aim of this paper is to identify the combinations of economic, normative, reputational and cognitive mechanisms that can prevent post‐award governance challenges on build‐operate‐transfer (BOT) projects in India.

Design/methodology/approach

The paper uses an empirical, case‐study based methodology to collect data and analyzes the cases through the use of the qualitative comparative analysis (QCA) technique. The paper first identifies and classifies the various kinds of governance challenges and preventive mechanisms in BOT projects based on the extant literature. Empirical evidence on 11 BOT projects in India is gathered and QCA is employed to unearth the linkages between specific governance mechanisms and post‐award challenges on these projects.

Findings

Project governance issues were identified across two dominant interfaces – one between the public and private sector and the other between the project and the societal stakeholders. Governance mechanisms based on providing shared incentives combined with the capacity to administer projects are effective in combating governance challenges across the public‐private sector interface. Cognitive mechanisms which make the project more accountable to the societal stakeholders are most effective across the project‐stakeholder interface.

Research limitations/implications

These findings can be validated on larger data sets, across geographies, sectors and variety of PPP projects – currently the authors have only studied the BOT variant of PPPs.

Practical implications

The authors’ “contingency” approach to governance can help decision makers select specific governance mechanisms based on a project's structure and risk profile to better ensure successful delivery of a BOT project's objectives.

Originality/value

Post‐award governance of PPP projects is a theme that has received comparatively little attention in the extant literature. Further, while post‐award issues as well as governance mechanisms have been separately identified, very little work exists that links these two sets of constructs. This paper seeks to contribute to knowledge in this area by proposing some preliminary findings on the link between post‐award issues and governance mechanisms. In addition, the paper employs an innovative technique called QCA to analyze the case‐study data.

Details

Built Environment Project and Asset Management, vol. 2 no. 2
Type: Research Article
ISSN: 2044-124X

Keywords

Content available
Article
Publication date: 7 September 2018

Ivan Russo, Ilenia Confente, David Gligor and Nicola Cobelli

The purpose of this paper is to introduce qualitative comparative analysis (QCA) to the field of supply chain management and provide a detailed roadmap that supply chain…

Abstract

Purpose

The purpose of this paper is to introduce qualitative comparative analysis (QCA) to the field of supply chain management and provide a detailed roadmap that supply chain researchers can utilize when applying this methodology.

Design/methodology/approach

Data collection focused on the evaluation of product returns management practices as perceived by business customers who operate in a supplier–customer context. In order to analyze the data using the QCA approach, a multi-step analysis was developed.

Findings

The results indicate five solutions that lead to high levels of customer satisfaction. The existence of multiple sufficient configurations for customer satisfaction indicates equifinality because multiple alternative solutions can lead to the same outcome.

Research limitations/implications

The authors make a methodological contribution by applying the QCA method to the field of supply chain management and providing a detailed roadmap that supply chain researchers can utilize.

Practical implications

The authors provide managers five different and novel combinations of antecedents that lead to higher levels of customer satisfaction.

Originality/value

This study offers supply chain researchers a better understanding of when it is appropriate to use QCA and how to apply this methodology. From a theoretical perspective, past studies focused exclusively on the “net effects” of these antecedents, thus, did not capture the complexity of the relationships between these various antecedents and customer satisfaction. This is a noteworthy contribution as it highlights the complexity of the amalgam of relationships and factors that impact customer satisfaction within the context of reverse supply chain.

Details

International Journal of Physical Distribution & Logistics Management, vol. 49 no. 1
Type: Research Article
ISSN: 0960-0035

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1 – 10 of 305