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With the rapid development of China's economy and society, the innovation of grassroots social governance has become increasingly important. This paper constructs 35 grassroots social governance innovation samples. Using the TOE theoretical framework and a fuzzy set qualitative comparative analysis (fsQCA), this paper analyzes the joint effects and interactive relationships of multiple factors on grassroots social governance innovation performance from three dimensions: technology, organization, and environment. The research reveals that internal environmental openness is a necessary condition for achieving high innovation performance in grassroots social governance, and proposes four grouping models that affect the performance of grassroots social governance innovation. This paper explores the inner logic of grassroots social governance innovation from a histological perspective, and on this basis proposes an adaptive path to enhance the performance of grassroots social governance innovation. [ABSTRACT FROM AUTHOR]

Based on the configuration theory, this paper discusses the multiple concurrent causes and causal complex mechanisms affecting the performance differences among different new farmers. Using the fuzzy set qualitative comparative analysis method, taking 40 cases of CCTV’s “ZHI FU JING” column as samples, the paper analyzes the necessary conditions for new farmers to produce high performance by the anthefactory-variable configuration composed of human capital, social capital, psychological capital, entrepreneurial learning and entrepreneurial opportunity identification. The results show that: (1) high human capital is the necessary core condition for new farmers to produce high entrepreneurial performance, lack of high entrepreneurial learning and lack of high entrepreneurial opportunity identification is the core necessary condition for low entrepreneurial performance; (2) the driving mechanism of new farmers’ high entrepreneurial performance is divided into three paths, and the driving mechanism of new farmers’ low entrepreneurial performance is divided into two paths; and (3) the ways of inhibiting new farmers’ performance and promoting their performance are asymmetrical. [ABSTRACT FROM AUTHOR]

The main idea of this paper is the substantiation of the methodological approach to the assessment of personnel risks of enterprises based on the application of the fuzzy logic apparatus in order to identify the problems of personnel risk management and provide appropriate recommendations for their solution. The methodological basis of the study is the classic provisions and fundamental works of foreign and domestic scientists, statistical data, the results of our research into the problems of assessing personnel risks of enterprises. The methods of fuzzy set theory, comparative analysis, scientific abstraction, generalization of scientific experience of modern theoretical research, systemcomplex approach were used. The study proposed a methodological approach to assessing the level of personnel risks of an enterprise; numerical experiments were conducted on the basis of a group of construction equipment manufacturers. Analysis of the results of assessing the level of personnel risks of enterprises made it possible to identify the problems of managing personnel risks at enterprises. The proposed methodological approach to assessing the level of personnel risks of enterprises based on the apparatus of fuzzy logic allows, in contrast to existing ones, to integrate the consideration of both qualitative and quantitative indicators when assessing the level of personnel risks and personnel movement indicators and to significantly increase the efficiency of decision-making under conditions of uncertainty and reduce costs in the event of adverse situations. Using in practice a methodological approach to assessing the level of personnel risks of enterprises based on the apparatus of fuzzy logic allows us to analyze the level of personnel risk as a multi-element object that is closely related to the structured functioning of the enterprise and its capabilities; and expands the original basis for conclusions, which provides a more accurate assessment of the level of personnel risk and making a reasoned decision to reduce its level. [ABSTRACT FROM AUTHOR]

Remaining useful life (RUL) prediction is an essential task in ensuring reliability in intelligent manufacturing. Recent advances in deep learning-based data-driven methods have shown promising results. However, one non-ignorable challenge is that distribution shift across various machine individuals often results in a performance decline. Domain adaptation approaches appear to be effective in tackling this issue, whereas they often require sufficient unlabeled target data, which is causally infeasible in prognostic tasks in practical scenarios. In this paper, we discuss the significance of prognostic generalization for RUL prediction, and a domain generalization-based scheme is proposed. A domain conditional invariance and specificity disentanglement network (DCISD) is proposed to learn domain conditional-invariant and domain-specific information simultaneously in a unified network. Domain conditional-invariant features are extracted through conditional domain adversarial learning and samples are conditioned by multiple RUL fuzzy sets. Domain-specific features correlated to individual degradation patterns are disentangled to promote sufficiency of degradation information. Moreover, a degradation dynamics-based augmentation method is proposed to mitigate domain imbalance following the degradation dynamics in the latent space. Two bearing run-to-failure datasets are utilized to evaluate the proposed method. Comparative and ablation studies validate the method effectiveness and superiority. [ABSTRACT FROM AUTHOR]

• Creation of a parameterized circular intuitionistic fuzzy (C-IF) scoring mechanism. • Rational C-IF scoring outcomes through the proposed parameterized scoring rule. • Allowing customization of parameters to align with decision-makers' preferences. • C-IF assignment modeling through the parameterized C-IF scoring framework. • Demonstrating its advantages through practical applications and comparative study. The notion of circular intuitionistic fuzzy (C-IF) sets, which utilizes a malleable circle to depict uncertainties and encompasses membership and non-membership constituents at its core, constitutes a progressive advancement of standard intuitionistic fuzzy sets. This paper concerns the utilization of a C-IF assignment model along with a parameterized scoring rule for a methodology involving multiple criteria assessment. This study introduces a novel parameterized C-IF scoring function, addressing limitations in current scoring methodologies. The newly proposed scoring function incorporates datum and allocating parameters, offering enhanced adaptability and practicality. Unlike some existing C-IF scoring functions, this parameterized function effectively accounts for the radius of uncertainty, ensuring more accurate and reliable C-IF number comparisons. Comparative assessments with other scoring techniques demonstrate the superiority and stability of proposed function across various C-IF datasets. This newly introduced scoring function proves valuable in addressing multiple criteria assessment challenges within C-IF contexts, providing decision analysts with a dependable tool for complex decision-making scenarios. This research delves into real-world instances, including supplier assessment and healthcare waste disposal, illustrating a practical implementation of the model. Additionally, a comparison study and investigation have been done to emphasize the benefits of the parameterized C-IF scoring procedure employed in the postulated C-IF assignment methodology. This study offers substantial contributions, encompassing: (i) devotion to the establishment of a parameterized C-IF scoring methodology, (ii) assurance of consistent and rational C-IF scoring outcomes through the proposed parameterized scoring rule, (iii) the methodology's flexibility, allowing customization of parameters to align with decision-makers' preferences, (iv) improvement in the stability of C-IF assignment modeling through the parameterized C-IF scoring framework, and (v) demonstrated its practical viability through real-world applications in tackling challenges associated with multiple criteria assessment in C-IF contexts. [ABSTRACT FROM AUTHOR]

A multiple set is a generalized version of a fuzzy set that deals with the uncertainty of an object along with its multiplicity. This work is a comparative analysis of the fundamental conclusions based on the cardinality of the classical set and fuzzy set. Several classical results based on fuzzy cardinality are then generalized to multiple set theory. An introduction to the concept of the power set of a multiple set is made, along with some basic results that support it. Furthermore, an extensive analysis of the power set properties of the fuzzy set is also carried out. [ABSTRACT FROM AUTHOR]

Using different interaction channels within open innovation partnerships holds the potential to enhance the chance of success in production sectors. However, our comprehension of how open innovation partnerships are affected by varying combinations of interaction channels, and how this corelates with their level of open innovation output, remains limited. There are discrepancies in the current literature regarding the individual and combined effects of open innovation interaction channels. Our study aims to resolve these inconsistencies by using a configurational perspective, which allows for the identification of multiple successful pathways. Employing fuzzy-set Qualitative Comparative Analysis (fsQCA) to a dataset of European open innovation partnerships in production sectors, we uncover specific combinations of interaction channels that explain high levels of innovation outcomes. Subsequently, we distinguish between two successful pathways. Notably, we observe that the relationship between interaction channels is causally complex, high engagement in open innovation may not guarantee favorable innovation outcomes. This finding highlights the intricate causal dynamics at play. Thus, our study is a significant step toward reconciling the disparate perspectives in the literature concerning the impact of interaction channels on open innovation output. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

The issue this study explores is to investigate the determinants of smart tourism destinations (STDs) on tourists' experiences. To address this issue, this study purports to identify different configuration paths of determinants that lead to tourists' positive experiences in STDs and explain the mechanism of the configuration effects of different determinants. The fuzzy-set qualitative comparative analysis (fsQCA) method was adopted to conduct a survey on 266 tourists who went to five Chinese STDs between 2021 and 2022. Smart tourism technologies, smart destination governance, personalized service, and smart infrastructure, co-creation formed distinct combination paths through different configurations. The findings demonstrated that smart infrastructure and co-creation are necessary conditions to arouse tourists' positive experiences. The results of fsQCA analysis further revealed five causal configurations leading to tourists' positive experiences. The study provides theoretical and practical implications for STDs to design effective tourism services as well as enhance tourists' overall experiences. [ABSTRACT FROM AUTHOR]

The effectiveness of promoting green products in an effort to reduce carbon emissions relies heavily on understanding the mechanisms that influence green purchasing behavior. These mechanisms, however, remain both controversial and unclear, necessitating a thorough investigation to identify and decipher their underlying impacts. This paper presents a comprehensive dual-study analysis employing a mixed-methods approach to demystify this subject. Our first study tests the "net effect" mechanism of a theoretical model based on responses from 611 questionnaires from Chinese customers. Utilizing hierarchical regression analysis and Bootstrap confidence intervals, we examine the main effect, mediating effect, moderating effect, and moderated mediating effect to construct a more distinct "net effect" model than previously available. In the second study, the fuzzy set qualitative comparative analysis method (fs-QCA) is employed to examine the different antecedent variables affecting green purchasing behavior. The findings show no single determinant is essential; instead, green purchasing behavior follows three distinct patterns - namely, internal autogenous, environment-oriented, and individual profit-driven. Further analysis reveals that each pattern hinges on "green trust" to facilitate green purchasing behavior. The findings offer significant contributions to the understanding of the role environmental values play in green purchasing behavior. Moreover, it furnishes empirical insights that fostering consumers toward low-carbon consumption. [ABSTRACT FROM AUTHOR]