Embracing Causal Complexity: The Emergence of a Neo-Configurational Perspective

This article reviews and critically examines 77 journal articles published from 2005 to 2016 on the fuzzy-set qualitative comparative analysis (fsQCA) applied in business and management research on the fields of entrepreneurship and innovation research. The findings reveal that the number of fsQCA applications has sharply increased during the past few years. Stemming from the systematic literature review, core aspects dealing with firm performance and innovation are identified. Ultimately, we provide promising areas with future potential for the application of fsQCA such as the elaboration of the antecedents leading to business model innovation.

Fuzzy-set qualitative comparative analysis (fsQCA) in entrepreneurship and innovation research – the rise of a method

Examining strategic orientation complementarity using multiple regression analysis and fuzzy set QCA

https://www.revistas.usp.br/rmj/article/download/166701/159376

Qualitative comparative analysis: justifying a neo-configurational approach in management research

Qualitative Comparative Analysis (QCA) is a powerful method originating in the fields of political science and sociology, where it is becoming a mainstream method. This article analyzes the state of QCA applications in business and management (B&M) research by conducting a structured literature review, which results in the identification of 96 studies between 1995 and 2015. Additionally, the knowledge basis of those articles is analyzed by means of a citations analysis. The 5,141 unique citations serve to also structure the research front using a bibliometric coupling analysis. The results point towards a somewhat deferred development of QCA in the discipline, which has recently undergone a quantum leap with regard to the number of publications as well as the advance of the method application. The current development is strongly determined by the originator of the method, Charles Ragin, and by the first studies applying QCA in business and management. Yet, the research front is only loosely connected, underlining that QCA remains at an early stage of adoption in business and management. The chapter gives three recommendations for future QCA studies and predicts a progressing profile formation of QCA in business and management research that can contribute to the adoption of configurational thinking within the discipline.

Is Qualitative Comparative Analysis an Emerging Method?—Structured Literature Review and Bibliometric Analysis of QCA Applications in Business and Management Research

Evaluating the performance of biotechnology companies by causal recipes

With the rapid progress of high-throughput sequencing projects, biological data is growing exponentially, creating a need for efficient and scalable algorithms and high-performance computing (HPC) platforms for big biological data analysis. However, traditional HPC platforms are inadequate for meeting the demand for rapid data analysis tasks in bioinformatics research. Analyzing biological sequence data is challenging due to its complexity and long computing time. This poses challenges for researchers to gain a deep understanding of biological functions. Thus, this research presents a large-scale biological data analysis platform enabled by an HPC infrastructure for genomic sequencing data and protein structure analysis. This study lists the characteristics of big biological data and traditional computing platforms, provides a reconfigurable HPC platform for biological data analysis applications. A practical case of HPC platforms for big biological data analytics in Taiwan is also presented. By using a reconfigurable HPC platform, the computational bottleneck can be removed, and data analysis can be accelerated. The platform enables researchers to gain profound insights into the deepest biological functions by addressing the challenges of big biological data analysis.

A High Performance Computing Platform for Big Biological Data Analysis

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Evaluating the performance of biotechnology companies by causal recipes

A High Performance Computing Platform for Big Biological Data Analysis