scholarly journals Technology Entrepreneurship and the Performance of Enterprises in the Conditions of Covid-19 Pandemic: The Fuzzy Set Analysis of Waste to Energy Enterprises in Poland

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3891
Author(s):  
Piotr Kordel ◽  
Radosław Wolniak
Keyword(s):  
Fuzzy Set ◽  
High Performance ◽  
Qualitative Comparative Analysis ◽  
Flexible Structures ◽  
Implementation Strategies ◽  
Waste To Energy ◽  
Energy Industry ◽  
Technology Entrepreneurship ◽  
Research Results ◽  
The Impact

This article’s aim is to explain the impact of technology entrepreneurship phenomenon on waste management enterprise performance in the conditions of COVID-19 pandemic. The concept of technology entrepreneurship according to the configuration approach and the category of high-performance organization are the theoretical bases of empirical investigation. For the implementation of empirical research, Fuzzy set Qualitative Comparative Analysis (FsQCA) was adopted. The research sample included a group of producers of Refused Derived Fuel (RDF) as a central part of the waste to energy industry located in Poland. The research results showed that the waste to energy sector is highly immune to pandemic threats. While during COVID-19, the basic economic parameters (i.e., sales, profitability and employment) of the entire industry in Poland clearly decreased, the same parameters in the case of the waste to energy industry remained at the same level. The research results allow the formulation of two high-performance models of technology entrepreneurship in the waste to energy industry under COVID-19 conditions. The first model is based on traditional technologies and hierarchical organizational structures, and the second is using innovative technologies and flexible structures. Both technology entrepreneurship models are determined by their emergence as complementary to implementation strategies and the opportunity-oriented allocation of resources within business model portfolios.

Configurations of factors affecting triage decision-making

2018 ◽  
Vol 56 (10) ◽  
pp. 2148-2171 ◽  
Author(s):  
Cristina Ponsiglione ◽  
Adelaide Ippolito ◽  
Simonetta Primario ◽  
Giuseppe Zollo
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Fuzzy Set ◽  
Qualitative Comparative Analysis ◽  
Organizational Factors ◽  
Public Hospitals ◽  
Content Type ◽  
Factors Affecting ◽  
Triage Decision ◽  
The Impact

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.

Adaptive capacity configurations for the digital transformation: a fuzzy-set analysis of Chinese manufacturing firms

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jian Liu ◽  
Wei Yang ◽  
Wan Liu
Keyword(s):  
Adaptive Capacity ◽  
Fuzzy Set ◽  
Qualitative Comparative Analysis ◽  
Digital Transformation ◽  
Environmental Scanning ◽  
Business World ◽  
Content Type ◽  
Manufacturing Enterprises ◽  
Digital World ◽  
The Impact

PurposeEmerging in recent years, digital transformation has become an effective approach for firms to remain competitive in the digital economy. Although this trend has received increasing interest in the business world, there remains a lack of empirical research on the organizational capacities that facilitate digital transformation. To fill this research gap, we investigate the relationship between adaptive capacity configuration and the performance of digital transformation.Design/methodology/approachWe use fuzzy-set qualitative comparative analysis (fsQCA) to identify the impact of adaptive capacity on the digital transformation performance of 38 firms in the household appliance manufacturing, light manufacturing and clothing manufacturing industries (HAMI, LMI, CMI).FindingsOur analysis reveals a Technology-driven transformation configuration for the HAMI, a Market-driven transformation configuration for the LMI and a Market and Management-driven transformation configuration for the CMI, as well as identifies environment scanning capacity as a common basic adaptive capacity. The first configuration is rooted in the innovation mechanism, and the last two configurations are rooted in the integration mechanism.Practical implicationsEnterprises in different industries with unique technology levels require distinctive capacity configurations to implement digital transformation. Each dimension of adaptive capacity plays a particular role in each industry. Environmental scanning capacity requires firms to be agile in their interactions with the digital world and to collect information about the environment.Originality/valueThis study enriches and expands the dimensions of adaptive capacity, and we provide a perspective for researching the digital transformation of manufacturing enterprises through adaptive capability configuration.

Influence of entrepreneurs' personality and personal characteristics on new venture performance: A fuzzy-set qualitative comparative analysis

2020 ◽  
Vol 48 (12) ◽  
pp. 1-13
Author(s):  
Fangwei Zhu ◽  
Shiguang Sun ◽  
Mouxuan Sun
Keyword(s):  
Comparative Analysis ◽  
Fuzzy Set ◽  
Risk Taking ◽  
High Performance ◽  
Qualitative Comparative Analysis ◽  
Personal Characteristics ◽  
Joint Effect ◽  
New Venture ◽  
Venture Performance ◽  
New Venture Performance

Entrepreneurs' personality and personal characteristics are both important for the success or failure of a new venture. We analyzed data from 120 entrepreneurs using fuzzy-set qualitative comparative analysis to investigate the joint effects of innovativeness, risk taking, need for achievement, educational attainment, proactiveness, and work engagement on new venture performance. Findings indicate that high performance in a new venture does not depend solely on entrepreneurs' personality or personal characteristics but, rather, emerges from their joint effect. We identified seven configurations of new venture high performance, which will provide valuable references for both practitioners and researchers.

Can configurations of motivation and extraversion attenuate job demands-job burnout bond?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sadegh Farivar ◽  
Osveh Esmaeelinezhad
Keyword(s):  
Comparative Analysis ◽  
Fuzzy Set ◽  
Extrinsic Motivation ◽  
Qualitative Comparative Analysis ◽  
Job Demands ◽  
Job Burnout ◽  
Theoretic Approach ◽  
Social Phenomena ◽  
Content Type ◽  
The Impact

Purpose Recent research highlights the necessity to critically examine the factors that can reduce the relationship between job stressors, such as job demand and burnout, to create healthier workplaces. This study aims to explore how five types of motivations (extrinsic motivation-social, extrinsic motivation- material, introjected, identified and intrinsic motivation), in combination with extraversion trait influence the impact of job demands on job burnout. Design/methodology/approach This study adopted a set-theoretic approach named fuzzy-set qualitative comparative analysis to analyze the data collected from 84 employees working in an research and development department of a public organization. Findings Findings revealed two distinct configurations. First, the absence of intrinsic and identified motivations lead to job burnout if extraverted participants suffer from high job demands. Second, non-extraverted participants reported high job burnout in the presence of high job demands, although all five types of motivations drove them. Practical implications This study suggests managers need to consider personalized preventive actions, depending on the level of extraversion trait when they try to motivate their employees who are dealing with high levels of job demands. Originality/value The emerging trend in social science suggests adopting linearity assumptions to study social phenomena is inconsistent with the reality of human behavior. Thus, this study used fuzzy-set qualitative comparative analysis to examine the complex interplay among all five types of motivations, extraversion trait, job demands, which contribute to burnout.

scholarly journals Corporate Social Responsibility Activity Combinations for Sustainability: A Fuzzy Set Analysis of Korean Firms

2019 ◽  
Author(s):  
Jinhwan Kim ◽  
Hyeob Kim ◽  
HyukJun Kwon
Keyword(s):  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Fuzzy Set ◽  
High Performance ◽  
Qualitative Comparative Analysis ◽  
Causal Pathways ◽  
Activity Factor ◽  
Interdependent System ◽  
Fuzzy Set Analysis ◽  
Corporate Social

We examined how combinations of corporate social responsibility (CSR) activities lead to high performance in Korean companies. This study addressed two related questions to expand our limited knowledge in this area. The first was what combinations of CSR activities achieve high performance. The second was to identify how CSR activities form an interdependent system, depending on different corporate situations. Korean Economic Justice Institute index data, from 2012 to 2018, were used with fuzzy set qualitative comparative analysis, and the results revealed several effective CSR activity factor combinations under given strategies and management environments. Companies with high performance exhibit complementarity between social contribution, environmental management, fairness, and employee satisfaction. By contrast, companies with low corporate performance show no complementarity between relatively unrelated activity factors. For companies whose CSR activities lead to low financial performance, most of the causal pathways focused only on activities at the primary stakeholder level, with weak diversity of CSR activities’ combinations at the primary and secondary stakeholder levels. These results indicate not only the appropriateness of CSR activity factor combinations for companies’ strategy and management environment contexts, but also their effectiveness, and are expected to provide companies with significant implications for CSR activities.

scholarly journals Innovation of the firm: How to create performance from capability

2017 ◽  
Vol 24 (04) ◽  
pp. 64-84
Author(s):  
Anh Trinh Thuy ◽  
Thong Nguyen Ngoc
Keyword(s):  
Fuzzy Set ◽  
Qualitative Comparative Analysis ◽  
Sufficient Conditions ◽  
Tourism Industry ◽  
Innovation Performance ◽  
Organizational Capabilities ◽  
Ho Chi Minh City ◽  
Innovation Capability ◽  
Learning Capability ◽  
The Impact

Based on the competitive advantage theory and resource-based theory of the firm, this paper examines the impact of innovation capacity on innovation performance of the tourism industry. Innovation capability is defined as the firm's ability to reconfigure and develop their resources and organizational capabilities to innovate. Innovation capability is measured by four components: sensing capability (SC), combination capability (CC), networking capability (NC), and learning capability (LC). Innovation performance is achievement or success of innovation made by a firm in accordance with the target, described by the three components: internal performance (IP), commercial performance (CP), and social performance (SP). The results of Multiple Regression Analysis (MRA) applied to a sample of 242 directors and CEOs of travel agents in a list of Ho Chi Minh City Tourism Association (HTA) and Ho Chi Minh City Department of Tourism show that three (SC, CC, NC) among four components (SC, CC, NC, LC) of innovation capabilities have effects on innovation performance. However, the application of fuzzy set theory in the fuzzy-set qualitative comparative analysis indicates that learning capability does not have any impact on firms’ innovation performance. A combination of learning capability and networking capability, nevertheless, creates sufficient conditions for innovation performance.

scholarly journals The Effects of Organisational Features on Media Attention for Public Organisations

2019 ◽  
Vol 47 (2) ◽  
pp. 245-264 ◽  
Author(s):  
Jan Boon ◽  
Heidi Houlberg Salomonsen ◽  
Koen Verhoest
Keyword(s):  
Comparative Analysis ◽  
Fuzzy Set ◽  
Qualitative Comparative Analysis ◽  
Primary Task ◽  
Media Attention ◽  
Configurational Approach ◽  
The Media ◽  
Public Organisations ◽  
The Impact

This article seeks to explain the frequency and tone of media attention for public organisations. Expectations are formulated on the impact of fundamental organisational features on the frequency and tone of coverage of public organisations. A fuzzy-set qualitative comparative analysis (fsQCA) is used to analyse the nuanced interplay between legal independence, primary task and organisational size. The results show that this configurational approach is necessary to understand which public organisations appear in the media and how. Legal independence, task and size do not operate independently, but combine in explaining the media attention for public organisations.

Direct and configurational paths of knowledge-oriented leadership, entrepreneurial orientation, and knowledge management processes to project success

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
pp. 00-00
Author(s):  
Khawaja Fawad Latif ◽  
Omar Afzal ◽  
Adeel Saqib ◽  
Umar Farooq Sahibzada ◽  
Waqar Alam
Keyword(s):  
Knowledge Management ◽  
Comparative Analysis ◽  
Fuzzy Set ◽  
Entrepreneurial Orientation ◽  
Project Success ◽  
Qualitative Comparative Analysis ◽  
Content Type ◽  
Management Processes ◽  
The Impact ◽  
Knowledge Management Processes

PurposeDrawing on the knowledge-based view, the study aims to investigate the impact of knowledge management enablers (entrepreneurial orientation and knowledge-oriented leadership) on knowledge management processes and project success. The study further ascertains the specific combinations of knowledge management enablers and knowledge management processes that can lead to project success.Design/methodology/approachSurvey data were collected from 222 project workers in information technology projects, and the proposed relationships were assessed through partial least squares structural equation modeling while configuration paths were assessed using fuzzy-set qualitative comparative analysis.FindingsThe study found a significant impact of entrepreneurial orientation and knowledge-oriented leadership on knowledge management processes and project success. The analysis also revealed that knowledge management processes did not significantly impact project success. Moreover, the insights from fuzzy-set qualitative comparative analysis show a clear pattern of equifinality, in that there are multiple combinations of knowledge management enablers and knowledge management processes that can lead to a successful project.Originality/valueThe current study is one of the earlier studies to provide insights to knowledge-based view by demonstrating the inter-relationship of entrepreneurial orientation and knowledge-oriented leadership with knowledge management processes and project success. To the best of authors' knowledge, this is the first study to assess the impact of knowledge-oriented leadership on project success. With limited studies on impact of entrepreneurial orientation and knowledge-oriented leadership on knowledge management processes, the study enriches the literature on linkage of entrepreneurial orientation and knowledge-oriented leadership with knowledge management processes. Methodological contributions include use of fuzzy-set qualitative comparative analysis to reveal multiple pathways to project success.

scholarly journals Corporate Social Responsibility Activity Combinations for Sustainability: A Fuzzy Set Analysis of Korean Firms

2019 ◽  
Vol 11 (24) ◽  
pp. 7078 ◽  
Author(s):  
Jinhwan Kim ◽  
Hyeob Kim ◽  
HyukJun Kwon
Keyword(s):  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Fuzzy Set ◽  
High Performance ◽  
Qualitative Comparative Analysis ◽  
Causal Pathways ◽  
Activity Factor ◽  
Interdependent System ◽  
Fuzzy Set Analysis ◽  
Corporate Social

We examine how combinations of corporate social responsibility (CSR) activities yield high performance in Korean companies by addressing two related questions to expand our limited knowledge. First, what combinations of CSR activities yield high performance? Second, how do CSR activities form an interdependent system based on different corporate contexts? We draw the 2012–2018 data from the Korean Economic Justice Institute index for a fuzzy set qualitative comparative analysis. The results reveal several effective CSR activity factor combinations under the given strategies and management environments. Companies with a high performance exhibit complementarity between social contribution, environmental management, fairness, and employee satisfaction. By contrast, companies with a low corporate performance show no complementarity between relatively unrelated activity factors. For companies with a low financial performance from CSR activities, most of the causal pathways focus only on activities at the primary stakeholder level, with weak diversity of CSR activities’ combinations at the primary and secondary stakeholder levels. These results indicate not only the appropriateness of CSR activity factor combinations for companies’ strategy and management environment contexts, but also their effectiveness, and are expected to provide companies with significant implications for CSR activities.

Potential Concerns and Impacts of CCA-Treated Wood for the Waste-to-Energy Industry

2003 ◽  
Author(s):  
Timothy Townsend ◽  
Helena Solo-Gabriele
Keyword(s):  
Solid Waste ◽  
Human Health ◽  
Treated Wood ◽  
The Other ◽  
Waste To Energy ◽  
Waste Stream ◽  
Energy Industry ◽  
Copper Chromium ◽  
The Impact ◽  
The U.S

An issue that has received much attention in the U.S. in recent years, especially in Florida, is the impact of CCA-treated wood on human health and the environment (Decker et al. 2002; Gordon et al. 2002) , including risks faced as a result of discarded CCA-treated wood in the solid waste stream (Townsend et al. 2001; Townsend et al. 2003). CCA-treated wood is preserved with copper, chromium and arsenic. All of the metals have toxic impacts at high exposures; it is arsenic however, which has raised the greatest concern (it is more hazardous at lower concentrations than the other CCA constituents). CCA-treated wood often becomes mixed with other wood from construction and demolition (C&D) debris (Tolaymat et al. 2000). Mixed C&D debris wood is either landfilled along with the rest of the C&D debris stream (e.g. concrete, gypsum drywall) or it is separated and processed for a variety of recycling markets.

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