Exploring the push-pull factors influencing parenting efficacy of fathers of children with ASD: a fuzzy set qualitative comparative analysis.

Objectives: This study aimed to explore the core factors and configurations influencing parenting efficacy for fathers of children with ASD in Western China by using a configuration analysis. Background: Understanding the push-pull factors related to parenting efficacy for fathers raising children with ASD can support the fathers of children with ASD to participate in education affairs and improve the quality of family education, which is of significant importance to both individuals and society. This study recruited 156 fathers of children with ASD from China. Results: The results suggested that there was more than one (sub) configuration for achieving a high level of parenting efficacy among fathers of children with ASD. (b) The configurations could be summarized into three main types as follows: "working within the system*flexible working time," "high level of education*high level of other support," and "severe disability*fewer interaction with wife." (c) The two variables, "family income" and "community support," were not as important as they were shown in previous studies, and their effects often depended on how they interact with other variables. Conclusions: Findings highlighted the validity of deploying configuration analysis (based on the ecosystem theory) to establish the relationship between independent variables and the parenting efficacy of fathers of children with ASD. The discovery of more than one configuration led to a new consensus on how multiple factors influence parenting efficacy. Implications were suggested for practitioners, policymakers, and future research alike.

Qualitative comparative analysis of learning engagement among Chinese part-time master's students in nursing.

BACKGROUND: Graduate nursing education plays an important role in the development of an innovative nation. Such education benefits the health of the community by cultivating competent and highly skilled nurses who can provide safe and quality nursing care. The number of students pursuing nursing degrees in China is insufficient, to meet the social demand for advanced practice nurses. The part-time Master of Nursing Specialist program for students offers flexible learning options for working nurses. However, the relatively low level of learning engagement exhibited by this group has raised concerns among policy-makers and nursing educators. An in-depth study of the factors affecting the learning engagement of part-time Master of Nursing Specialist postgraduates, especially with regard to their combined effect, is expected to provide a basis for improving the level of learning engagement among such students. METHODS: This study used ability-motivation-opportunity-theory and fuzzy-set qualitative comparative analysis to analyze the relationships between five conditions (i.e., supportive campus environment, supportive work environment, student-faculty interaction, research motivation and time management ability) and learning engagement by reference to data collected from a sample of 225 part-time Master of Nursing Specialist students who were enrolled in China. RESULTS: The fuzzy-set qualitative comparative analysis results indicated that individual examples of these antecedent conditions were insufficient to influence learning engagement. In contrast, three combinations of the five conditions led to high levels of learning engagement, and substitutability and complementarity were observed among the various elements in the configuration. CONCLUSIONS: Research motivation, student-faculty interaction, a supportive work environment and time management are factors that can influence part-time postgraduates' learning engagement. Supervisors can enhance their research skills and expertise, hospitals can establish supportive environments for students, and students can strengthen their research motivation and time management abilities.

Unravelling the asymmetric effects of procurement practices on firm performance: A complexity theory approach to complementing fsQCA with NCA.

Current economic upheavals and supply chain uncertainty have threatened the profitability and sustainability of business organisations. Procurement has proved to be one of the strategies for enhancing firm performance without necessarily increasing revenue with its attendant increase in costs. However, rather than investigating the complex asymmetric relationship between procurement practices and firm performance (which this study advocates), past research engaged in a symmetric evaluation of the relationship between the phenomena. Accordingly, this study, using complexity theory, employs fsQCA and NCA on a sample of 150 respondents from private universities in Ghana to (a) identify different combinations of procurement practices, namely procurement planning, supplier partnership, contract management, and compliance, that lead to firm performance and (b) explore the necessity of these procurement practices (in kind and degree) for firm performance. Whereas the findings from fsQCA reveal three distinct combinations of procurement practices for high firm performance and further suggest that none of the procurement practices was necessary for firm performance, the NCA results suggest that two out of the four procurement practices investigated are necessary for firm performance and hence must be present in the causal recipes produced by fsQCA to guarantee that they lead to firm performance. The study offers pathways to firm performance through procurement practices and demonstrates how to complement fsQCA with NCA to ensure that causal recipes produced by fsQCA can produce the outcome.

Exploring the Complex Relationships Between Factors That Affect Employee Cyberloafing Using a Novel Approach: Findings from Fuzzy-Set Qualitative Comparative Analysis.

Cyberloafing is a workplace problem that has emerged over the past two decades and continues to be problematic as workers' schedules become more flexible and deterrents associated with being physically present in an office are unavailable. Understanding the complex conditions under which employees are more likely to engage in cyberloafing activity continues to be valuable for businesses. This study identifies and models seven conditions that influence cyberloafing and investigates how interconnected social and deterrence factors affect employees' cyberloafing behavior. With a cross-sectional random sample of 324 employees from 14 provinces in China, the necessary condition analysis is used to identify the necessary conditions for high cyberloafing, and the fuzzy-set qualitative comparative approach is conducted to explore the configurational impacts of multiple antecedent conditions on high cyberloafing. The results show that no single condition is necessary for a high level of employee cyberloafing and that three distinct configurations of multiple conditions equivalently contribute to high cyberloafing among employees. Among all configurations, high visibility of cyberloafing, a lack of certainty of formal sanctions, and a lack of reward for not cyberloafing play important roles in explaining employees' cyberloafing. This study is the first to use fuzzy-set qualitative comparative analysis to explore how different combinations of social and reinforcement antecedents contribute to cyberloafing, which goes beyond existing research that explores antecedents independently and offers new insights into cyberloafing's interconnected antecedents and their complex causality.

Is Policy the Necessary or Sufficient Driving Force of Construction and Demolition Waste Recycling Industry Development? Experience from China.

Policies have long been considered the essential driving force in promoting construction and demolition waste (CDW) recycling. However, the policy instruments adopted in different economies have varied greatly, which contributes to the difficulty in quantitative discernment of their effect. This study aims to examine whether the holistic employment of policy measures determines the development of CDW recycling around China. To accurately measure the holistic adoption of CDW policies, this study assessed policy strength via a proposed three-dimensional evaluation model. The spatiotemporal differences in policy strength among the 52 sample cities were further defined using K-means clustering and the Gini coefficient. Next, the driving effect of policy on the initial establishment of CDW recycling industry practices was examined by event history analysis (EHA). Finally, fuzzy set qualitative comparative analysis (fsQCA) was used to analyze the sufficiency and necessity of policy for the initial establishment of CDW recycling practices. The results indicated that the establishment of a first CDW recycling plant is only slightly correlated with policy measures, whereas it is highly correlated with the pilot city and per capita GDP. Furthermore, application of policy is neither a necessary nor sufficient condition for the establishment of a CDW recycling industry facility.

Configurational patterns for COVID-19 related social media rumor refutation effectiveness enhancement based on machine learning and fsQCA.

Infodemics are intertwined with the COVID-19 pandemic, affecting people's perception and social order. To curb the spread of COVID-19 related false rumors, fuzzy-set qualitative comparative analysis (fsQCA) is used to find configurational pathways to enhance rumor refutation effectiveness. In this paper, a total of 1,903 COVID-19 related false rumor refutation microblogs on Sina Weibo are collected by a web crawler from January 1, 2022 to April 20, 2022, and 10 main conditions affecting rumor refutation effectiveness index (REI) are identified based on "three rules of epidemics". To reduce data redundancy, five ensemble machine learning models are established and tuned, among which Light Gradient Boosting Machine (LGBM) regression model has the best performance. Then five core conditions are extracted by feature importance ranking of LGBM. Based on fsQCA with the five core conditions, REI enhancement can be achieved through three different pathway elements configurations solutions: "Highly influential microblogger * high followers' stickiness microblogger", "high followers' stickiness microblogger * highly active microblogger * concise information description" and "high followers' stickiness microblogger * the sentiment tendency of the topic * concise information description". Finally, decision-making suggestions for false rumor refutation platforms and new ideas for improving false rumor refutation effectiveness are proposed. The innovation of this paper reflects in exploring the REI enhancement strategy from the perspective of configuration for the first time.

Applying a Combination of SEM and fsQCA to Predict Tourist Resource-Saving Behavioral Intentions in Rural Tourism: An Extension of the Theory of Planned Behavior.

How to save resources and protect the environment at destinations is one of the hot issues in tourism. One effective solution is to cultivate tourist resource-saving behavioral intentions (TRSBI). Prior studies mainly use Structural equation modeling (SEM) to explore its antecedents, whereas other potential methods (i.e., fuzzy-set qualitative comparative analysis, fsQCA for short) have been less adopted. This study combines SEM and fsQCA to examine TRSBI in a rural tourism context. Specifically, SEM is executed to investigate how environmental concern influences TRSBI based on the theory of planned behavior (TPB), while fsQCA is applied to uncover the multiple configurations in the TRSBI formation. The findings from SEM indicated that (1) environmental concern positively and directly influenced TRSBI; (2) TPB constructs (i.e., attitudes toward the behavior, subjective norms, and perceived behavioral control) positively and separately mediated the associations of environmental concern with TRSBI. The fsQCA outcomes showed that three configurations result in a high level of TRSBI: (1) high attitudes toward the behavior, subjective norms, and perceived behavioral control, (2) high attitudes toward the behavior, subjective norms, and environmental concern, and (3) high attitudes toward the behavior, perceived behavioral control, and environmental concern. The combined approaches offer a systematic and holistic solution to explore TRSBI in rural tourism.

A configurational analysis on career success of scientific and technological innovation talents in universities.

Introduction: Increasing the career success of scientific and technological innovation talents has become an important means of keeping and using talents in countries around the world. However, the problem has not been solved effectively. Methods: Thirty-five cases were chosen in this study. The combined effects of human capital, psychological capital, micro-social capital, team social capital, and macro-social capital on the career success of scientific and technological innovation talents, as well as relevant influencing mechanisms, were discussed using qualitative comparative analysis (QCA). Results: Results demonstrate that: (a) while a single factor cannot be the only condition for the high career success of scientific and technological innovation talents in universities, increasing macro-social capital plays a relatively universal role in a high career success rate. (b) There are three paths driving the high career success of scientific and technological innovation talents in universities. (c) There are two paths driving the non-high career success of scientific and technological innovation. Both have characteristics of absent psychological capital and micro-social capital. Moreover, the driving mechanism of high career success has an asymmetrical causal relationship. Discussion: Research conclusions are not only conducive to expanding the research perspectives of social capital theory and career success, but also provide valuable insight into how to stimulate the career success of scientific and technological innovation talents in universities.

Influence Mechanism of Different Environmental Regulations on Carbon Emission Efficiency.

The rational use of environmental regulation tools has become an important means by which to improve the efficiency of carbon emissions. Different types of environmental regulations and their combinations have different impacts on carbon emission efficiency. In order to determine the environmental regulation configurations that may achieve high carbon emission efficiency or lead to low carbon emission efficiency, we constructed an analytical framework of connections between environmental regulation configurations and carbon emission efficiency. Moreover, 30 Chinese provinces from the period covering 2016 to 2019 were selected as research cases. In addition, the super slacks-based measure of efficiency (SE-SBM) model was applied to evaluate carbon emission efficiency. Finally, the fuzzy-set qualitative comparative analysis (fsQCA) method was employed to analyze the impact of different environmental regulation configurations on carbon emission efficiency. The results showed that the carbon emission efficiency of various regions of China is generally low (with most regions not having reached an effective level) and that there are large regional differences. We found that there are four environmental regulation configurations that can achieve high carbon emission efficiency and two environmental regulation configurations that lead to low carbon emission efficiency. Based on these configurations, we draw three conclusions: (1) There are three paths to achieving high carbon emission efficiency: one that values command-and-control environmental regulation but disfavors market-incentive environmental regulation, another that combines command-and-control environmental regulation with market-incentive environmental regulation, and a third that couples command-and-control environmental regulation with voluntary environmental regulation. (2) Two paths that may lead to low carbon emission efficiency were established: excessive penalties and the lack of specific measures. (3) In some conditions, environmental governance investment and fiscal expenditure could be substituted for each other; environmental protection administrative penalties and pollution charges are synchronized; environmental governance investment in the promotion of carbon emission efficiency is indispensable. Policies and suggestions on how the government can use environmental regulation tools to improve carbon emission efficiency are proposed from a general coordinative perspective in the final section of this paper.

Influence of Workload, Personality, and Psychological Flexibility on Occupational Stress Among Medical Staff: A Fuzzy-Set Qualitative Comparative Analysis.

Objective: During the COVID-19 pandemic, the occupational stress of medical staff has been a major issue. This study aimed to suggest a new strategy to identify high-risk factor sets of occupational stress in medical staff using fuzzy-set qualitative comparative analysis (fs-QCA) and provide ideas for the prevention and intervention of occupational stress. Methods: A total of 1,928 medical staff members were surveyed and tested using the Acceptance and Action Questionnaire-II (AAQ-II), Occupational Stress Inventory-Revised edition (OSI-R), and Eysenck Personality Questionnaire-Revised Short Scale (EPQ-RSC). The fs-QCA was used to explore the high-risk factors for occupational stress among medical staff. Results: The psychological strain (PSY) score of the medical staff was 26.8 ± 7.13, and the physical strain (PHS) score was 24.3 ± 6.50. Low psychological flexibility score-introversion-high role overload, introversion-neuroticism-high role overload, and low psychological flexibility score-neuroticism were high-risk factor sets for PSY. Low psychological flexibility score-introversion-high role overload, low psychological flexibility score-introversion-neuroticism, low psychological flexibility score-neuroticism-high role overload, low psychological flexibility score-psychoticism-neuroticism, and psychoticism-neuroticism-high role overload were high-risk factor sets for PHS. Conclusion: There are different combinations of high-risk factors for occupational stress among the medical staff. For occupational stress intervention and psychological counseling, targeted and individualized health intervention measures should be implemented according to specific characteristic combinations of different individuals.

Influencing factors of and multiple paths to high performance in multidisciplinary scientific research cooperation in colleges in China: a fuzzy-set qualitative comparative analysis.

Background: In the context of globalization of science and technology, multidisciplinary cooperation plays an important role in enhancing national scientific research strength. Many countries issue policies and reports to promote the implementation of interdisciplinary research. Colleges play a central role in knowledge generation and scientific inquiry and thus frequently contain a variety of scientific research organizations. With rapid advances in science, large-scale scientific research cooperation across disciplines and institutions is increasingly common. Many factors can affect the performance of research collaboration, and the implementation paths of some key factors remain unclear. In addition, no standardized collaboration system has been established in relevant research. Further studies on interdisciplinary scientific research cooperation will be particularly valuable for improving the efficiency of resource allocation and increasing the level of academic research. Here we explored the "joint effect" of various influencing factors on interdisciplinary collaborative research in colleges and the "interactions" among these factors. Methods: With stratified-cluster random sampling, 358 researchers from 181 research teams at 6 colleges across China were surveyed using a self-administered questionnaire. We used fuzzy-set qualitative comparative analysis (fsQCA) to analyze data to obtain more insight into the status quo of interdisciplinary cooperation among colleges. Results: The results showed that initiation and organization by an institution was a necessary condition for achieving high-performance scientific research collaboration. The performance incentive method of high-tech collaboration could be divided into four main paths: configuration organized by an institution; configuration organized by an institution, with high policy-based guarantees (PG); configuration organized by an institution, with high cooperation willingness (CW) and high cooperation ability (CA); and configuration organized by an institution, with high CW, abilities, and outputs. The drive mechanism of high performance in scientific cooperation could be divided into two types: organization-led and ability/willingness-driven. Conclusions: Only the integration of internal changes with the support of the external environment can ensure the stable development of multidisciplinary scientific research cooperation among colleges.

Éclaircissement to Understand Consumers' Decision-Making Psyche and Gender Effects, a Fuzzy Set Qualitative Comparative Analysis.

Consumers' decision-making is complex and diverse in terms of gender. Different social, psychological, and economic factors mold the decision-making preferences of consumers. Most researchers used a variance-based approach to explain consumer decision-making that assumes symmetric relationship between variables. We have collected data from 468 smartwatch users and applied a fuzzy set qualitative comparative analysis (fsQCA) to explain and compare male and female consumers' decision-making complexity. fsQCA assumes that an asymmetric relationship between variables can exist in the real world, and different combinations of variables can lead to the same output. Results explain that different variables have a core and secondary level of impact on consumer decision-making. Hence, we can not claim that certain factors are significant or insignificant for decision-making. fsQCA results revealed that cost value, performance expectancy, and social influence play a key role in consumers' buying decisions. This study has contributed to the existing literature by explaining consumer decision-making by applying configuration and complexity theories and identifying unique solutions for both genders. A major contribution to theoretical literature was also made by this research, which revealed the complexity of consumer purchasing decisions made for new products.

What Drives Land Abandonment in Core Grain-Producing Areas? Evidence from China.

Food security remains a major issue for developing countries. Reducing arable land abandonment (ALA) is crucial to ensuring food security. In China, the 'decline in both quantity and quality' of arable land resources, especially in major grain-producing areas, has become increasingly serious. This study uses fuzzy set qualitative comparative analysis (fsQCA) to explore the core conditions and combinations of paths leading to explicit and implicit abandonment using 30 typical cases in the main grain-producing areas of Hubei Province. The results show that (1) three combined pathways lead to explicit ALA (EALA) and that two pathways lead to implicit ALA (IALA); (2) laborer health (LH) is the core condition leading to EALA; and (3) LH, agricultural laborer (AL), per capita income (PCI) and social relationships (SRs) are the core conditions leading to IALA. To effectively alleviate ALA, the government should improve production conditions, pay attention to laborer health issues, improve agricultural returns and strengthen food security publicity and guidance, thereby promoting the rational use of arable land in these areas. The findings in this study link the changes in arable land use and provide a reference for other developing countries in ensuring food security.

The effective path of green transformation of heavily polluting enterprises promoted by green merger and acquisition-qualitative comparative analysis based on fuzzy sets.

Green merger and acquisition (GMA) is becoming a growing tendency for heavily polluting enterprises in recent years; however, the realization path of green transformation through GMA is still unexplored. Taking 48 Chinese heavily polluting enterprises that had GMA in 2018 as the research object, this paper constructs the "M&A attributes, Organizational characteristics, and External environment" (M-O-E) framework, by using the method of fuzzy-set qualitative comparative analysis (fsQCA) to reveal the configurations of conditions that lead to high levels of green innovation performance. The results show that the high green technology innovation performance after GMA of heavily polluting enterprises is the outcome of multiple antecedents, and no singular antecedent is sufficient for achieving it. Besides, there are three equivalent configurations of conditions to achieve green transformation: professional buyer, internal leading, and internal-external linkage. Among them, the professional buyer configuration highlights that the combination of M&A experience and M&A scale is of great importance, the internal leading configuration emphasizes that the existence of environmental awareness and organizational resources is the core conditions, and the internal-external linkage configuration requires simultaneous efforts of M&A experience and government environmental regulations. Our research contributes to the understanding of green transformation in heavily polluting enterprises from a configurational perspective, and provides a practice-oriented guide to achieve green transformation for the government and heavily polluting enterprises.

Founder Management and Innovation: An Empirical Analysis Based on the Theory of Planned Behavior and Fuzzy-Set Qualitative Comparative Analysis.

Based on the expanded theory of planned behavior, this study first explores the configuration relationship between founder management and innovation by using the fuzzy-set qualitative comparative analysis (fsQCA). Based on the theory of planned behavior, this study divides the behavior intention of founders into three categories: Attitude, subjective norm, and perceived behavior control. Using fsQCA, we found that there are two ways to achieve high innovation input of enterprises. In combination with the two ways, the factors such as male and highly educated founder, and large firm size can effectively increase the innovation input of firms, which is consistent with the three aspects of the behavioral intention of the theory of planned behavior, and it proves that the theory of planned behavior can effectively explain the configuration relation between the founder and firm innovation. In addition, this study finds that the innovation output is different from the innovation input, is dependent on the innovation ability of the firm itself, and is less influenced by the external environment.

Does Health Consciousness Matter to Adopt New Technology? An Integrated Model of UTAUT2 With SEM-fsQCA Approach.

Every emerging technology has its pros and cons; health-conscious users pay more importance to healthy and environment-friendly technologies. Based on the UTAUT2 model, we proposed a comprehensive novel model to study the factors influencing consumers' decision-making to adopt the technology. Compared to prior studies that focused on linear models to investigate consumers' technology adoption intentions and use behavior. This study used a Structural Equation Modeling-fuzzy set qualitative comparative analysis (SEM-fsQCA) approach to account for the complexity of customers' decision-making processes in adopting new technology. We collected valid responses from 830 consumers, analyzed them, and evaluated them using a deep learning SEM-fsQCA technique to capture symmetric and asymmetric relations between variables. We have extensively incorporated a health-consciousness attitude as a predictor and mediator to understand better the decision-making toward technology adoption, specifically 5G technology. All the factors tested in our model are statistically significant except the economic factors. Health-consciousness attitude (HCA) and behavioral intention (BI) found significant predictors and valid mediators in the process of 5G technology adoption. FsQCA provided six configurations to achieve high 5G adoption. The findings have significant practical ramifications for telecom corporations, advertisers, government officials, and key policymakers. Additionally, the study added substantial theoretical literature to technology adoption, particularly the adoption of 5G technology.

Why do people choose courts to resolve disputes? A fuzzy-set analysis of Chinese citizens' judicial reliance.

We use the concept of judicial reliance to describe the willingness and extent to which citizens seek the help of the court in a dispute. There are obvious local differences in the degree of judicial reliance in different provinces, with some citizens more willing to resort to the courts to settle disputes, whereas others are indifferent to the courts. Based on the judicial survey data of 31 provinces in China, we use fuzzy-set qualitative comparative analysis to explore the possible reasons for differences in citizens' judicial reliance in China. We find that citizens' judicial reliance is deeply influenced and restricted by five judicial conditions: transparency, corruption, independence, procedure, and professionalism. These causal conditions influence and interact with each other, thus forming six configurations that produce high judicial reliance. Among these six configurations, judicial professionalism is always the core condition. In recent years, China has indeed attached great importance to the construction of judicial professionalism, which not only optimizes the quality of the internal personnel of the court but also strengthens the public's recognition of the court.

What motivates rural teachers to retain? A study on Chinese rural teachers' turnover from grounded theory and FsQCA.

This research is aim at a deeper understanding of factors that leading Chinese rural teachers' (CRTs) turnover in their profession. The study regarded in-service CRTs (n = 408) as the participants, adopted the semi-structured interview and an online questionnaire to collect the data, and used grounded theory and FsQCA to analysis the data based. We have found that (A) welfare allowance, emotional support, and working environment can be substituted equivalently to increase CRTs' retention intention while professional identity regarded as the core condition; (B) career development is neglected for two reasons: one is CRTs compensated for inadequate social support by self-improvement; another is CRTs adapted themselves to accept professional stagnation; (C) the CRTs will have a strong intention to retain but lack enthusiasm for teaching because lack professional identity when the external environment is favorable. This study clarified the complicated causal relationships between CRTs' retention intention and its factors, contributed to the practical development of CRTs workforce.

Combinations of Conditions for Network Effectiveness: A Fuzzy-Set Qualitative Comparative Analysis of 37 International Development Intervention Cases.

Most international development projects that aim to eradicate poverty and improve the quality of life of people in low- and middle-income countries are implemented through a collaborative network of multiple parties, including non-governmental organizations (NGOs). However, how network effectiveness in international development projects can be achieved remains unclear. Using fuzzy-set qualitative comparative analysis, this study explores the causal conditions of network effectiveness of 37 international development projects implemented by South Korean NGOs based on a theoretical lens of collaborative networks. Findings revealed two causal configurations for network effectiveness. Even under a lack of network management capacity and unintegrated networks, or under resource deficiency and lack of network management capacity, high-level local capacity or high-quality collaboration among partners was shown to produce network effectiveness. An in-depth analysis of two cases with successful network effectiveness was also conducted to achieve a more thorough and comprehensive understanding of the causal conditions. The findings suggest practical solutions to manage collaborative networks and compensate for deficiencies of diverse conditions to improve network effectiveness.

The Relationship Between Business Environment and Single Champion Enterprise Entrepreneurship.

What kind of business environment can produce high single champion enterprise entrepreneurship is a new issue for discussion in research on entrepreneurship. Based on institutional configuration theory and the fcQCA method, the present paper analyses the relationship between the business environment and single champion enterprise entrepreneurship from the perspective of configuration. This paper studies the role of the business environment in 80 case cities all over the country in promoting high single champion enterprise entrepreneurship and discusses three business environment configurations concerning high single champion enterprise entrepreneurship and two configurations concerning non-high single champion enterprise entrepreneurship. Three typical business environment element configurations can promote high single champion enterprise entrepreneurship, namely, the market innovation type dominated by multiple resources, the financial service-driven type assisted by resources, and the market-driven type led by financial services, which reflects the significance of financial services and the market environment.