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This study aims to increase the novelty of clothing design and fabric texture. The element library that can be used for design is systematically summarized. The element database can also be continuously filled according to the existing logic to realize the diversity of design. Improve the theory of fashion design, expand the designer's design ideas and improve design efficiency. Clear design steps and logic can help students and machines learn the design process and promote the development of intelligent design. And verify the feasibility of the simulation software to assist pleated clothing design.

Firstly, according to the logical framework of origami theory, different innovative designs and combined designs are made for the basic units of hyperbolic paraboloid, and the element library that can be used for design is systematically summarized. This database can also be continuously filled according to the existing logic to realize the diversity of design. Secondly, it summarizes three methods of pleated element filling clothing – uniform filling method, the irregular filling method and geometric addition method – that improve the theory of fashion design, expand the designer's design ideas and improve design efficiency. Clear design steps and logic can help students and machines learn the design process and promote the development of intelligent design. Finally, the virtual software is used to simulate the effect of pleated clothing, and the three-dimensional simulation software 3dclo is used to make an empirical study on the application of hyperbolic paraboloid origami in clothing pleated design to verify the feasibility of the simulation software to assist pleated clothing design.

The theoretical results of hyperbolic paraboloid origami are collected and arranged to establish the element library of hyperbolic paraboloid origami. The results expand the designer's design ideas and auxiliary design technology and improve the design efficiency using a sample of hyperbolic paraboloid fabric to verify its practicability and three-dimensional clothing simulation software for exploring the design. The design rules of hyperbolic paraboloid clothing and the realization method of fabric are summarized, including the expansion and combing of elements, the application of size and shape and the method of combination.

Owing to the hyperbolic paraboloid origami’s length shrinkage, the loose computation of clothing requires targeted computation. This paper solely applies a paper model for estimating the shrinkage, and then we tend to subsequently explore the way to precisely compute the porosity, to determine the existing differences in the two-dimensional shrinkage of hyperbolic paraboloid creases of varying materials and to know if the clothing after large-scale production is capable of reaching the anticipated value.

The exploration of this experiment brings a new 3D experiment process to the design process.

This experiment brings new possibilities for the development of virtual fitting and virtual display in the industry.

This study combines hyperbolic paraboloid origami and clothing and combs and expands the unit with logical thinking to expand the designer's design ideas.

The deeper understanding of the disclosure of external and internal dynamics of family firms necessarily places the issue of sustainability as one of the most pressing needs from both a research and managerial perspective. Therefore, this perspective article contributes to the debate of sustainability performance disclosure in family firms, proposing a research agenda.

This study has organized the discussion around those elements that most significantly impact the propensity to disclose, with a specific focus on the interconnections and interrelations within them. The proposed research agenda is developed around three key elements: “how” firms disclose, “the reason why” they do it and “what” disclose of their performance(s).

To better understand “how” family firms should disclose their performance, it is suggested to engage in proactive stakeholder engagement to preserve long-term socioemotional wealth. “The reason why” for disclosure is still associated with the legitimization of family firms from an economic, social and environmental point of view. Finally, the “what” depends on several factors, such as the regulatory framework and the market involved.

This paper contains suggestions for family firm managers, consultants and policymakers that are approaching corporate social responsibility (CSR) and non-financial reporting or sustainability disclosure overall, providing an overview of relevant factors influencing this transition process.

This paper suggests a logical framework to combine these three elements of the debate as strictly interrelated to foster the sustainability performance disclosure of family firms.

With the continuous development of the wind power industry, wind power plant (WPP) has become the focus of resource development within the industry. Site selection, as the initial stage of WPP development, is directly related to the feasibility of construction and the future revenue of WPP. Therefore, the purpose of this paper is to study the siting of WPP and establish a framework for siting decision-making.

Firstly, a site selection evaluation index system is constructed from four aspects of economy, geography, environment and society using the literature review method and the Delphi method, and the weights of each index are comprehensively determined by combining the Decision-making Trial and Evaluation Laboratory (DEMATEL) and the entropy weight method (EW). Then, prospect theory and the multi-criteria compromise solution ranking method (VIKOR) are introduced to rank the potential options and determine the best site.

China is used as a case study, and the robustness and reliability of the methodology are demonstrated through sensitivity analysis, comparative analysis and ablation experiment analysis. This paper aims to provide a useful reference for WPP siting research.

In this paper, DEMATEL and EW are used to determine the weights of indicators, which overcome the disadvantage of single assignment. Prospect theory and VIKOR are combined to construct a decision model, which also considers the attitude of the decision-maker and the compromise solution of the decision result. For the first time, this framework is applied to WPP siting research.

With the growing concern of various sectors of society regarding environmental issues and the promotion of sustainable development, green technology innovation is generally considered to be conducive to the long-term development of enterprises. However, because of the existence of agency problems, managers may have shortsighted behaviors. Then how will managers' shortsighted behaviors affect enterprises' green technology innovation?

This paper uses machine learning-based text analysis methods to construct a manager myopia index based on the data from A-share listed companies on the Shanghai and Shenzhen Stock Exchanges from 2015 to 2020. We examine the impact of manager myopia on green technology innovation in companies.

Our study finds that manager myopia significantly inhibits green technology innovation in companies. However, when multiple large shareholders coexist and the proportion of institutional investors' holdings is high, it can alleviate the inhibitory effect of manager myopia on green innovation. Heterogeneity tests show that the impact of manager myopia on green technology innovation is relatively significant in non-state-owned and manufacturing companies, as well as in the electricity industry. Robustness tests demonstrate that our conclusions remain valid after using propensity score matching to eliminate endogeneity problems.

From the perspective of corporate governance, this paper incorporates managers' shortsightedness, multiple large shareholders and institutional investors' shareholding ratios into the same logical framework, analyzes their internal mechanisms, helps improve corporate governance, enhances green innovation capabilities and has strong implications for the implementation of national innovation-driven development strategies and the achievement of “carbon peak” and “carbon neutrality” targets.

The purpose of this study is to provide a detailed demonstration of how artificial intelligence (AI) can be used to potentially generate valuable insights and recommendations regarding the role of accounting in addressing key sustainability-related issues.

The study offers a novel method for leveraging AI tools to augment traditional scoping study techniques. The method was used to show how the authors can produce recommendations for potentially enhancing organisational accountability pertaining to seasonal workers.

Through the use of AI and informed by the knowledge base that the authors created, the authors have developed prescriptions that have the potential to advance the interests of seasonal workers. In doing so, the authors have focussed on developing a useful and detailed guide to assist their colleagues to apply AI to various research questions.

This study demonstrates the ability of AI to assist researchers in efficiently finding solutions to social problems. By augmenting traditional scoping study techniques with AI tools, the authors present a framework to assist future research in such areas as accounting and accountability.

To extend research into sport consumer behaviors related to online sports betting, this study is designed to identify and examine the relationship between online sports betting motivations and online sports betting intentions. By applying a push-pull framework from online sport consumption and gambling studies, nine motivations to engage in online sports betting were identified. These motivations were hypothesized to motivate online sports betting intentions.

A quota sampling technique based on the sports bettor demographics available in the American Gaming Association (AGA, 2019) and the Pew Research Center (2022) obtained a total of 550 completed surveys that met the inclusion and exclusion criteria. For data analyses, confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to examine the measurement model and the hypothesized model, respectively.

The results revealed that four motivations (i.e. monetary gain, excitement, convenience and negative technology-readiness) were related to online sports betting intention, while five motivations (i.e. sport fandom, positive technology-readiness, impulsivity, socialization and promotion) were not.

The results provide foundational theoretical knowledge of what motivates sports fans to participate in online sports betting. Furthermore, the findings assist practitioners in their allocation of resources by enhancing their understanding of online sports betting motivations.

High-tech enterprises, as the national innovation powerhouses, have garnered considerable interest, particularly regarding their technological innovation capabilities. Nevertheless, prevalent research tends to spotlight the impact of individual factors on innovative behavior, with only a fraction adopting a comprehensive viewpoint, scrutinizing the causal amalgamations of precursor conditions influencing the overall innovation proficiency of high-tech enterprises.

This paper employs a hybrid approach integrating necessary condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA) to examine the combinatorial effects of antecedent factors on high-tech enterprises' innovation output. Our analysis draws upon data from 46 listed Chinese high-tech enterprises. To promote technological innovation within high-tech enterprises, we introduce a novel perspective that emphasizes technological innovation networks, grounded in a network agents-structure-environment framework. These antecedents are government subsidy, tax benefits, customer concentration, purchase concentration rate, market-oriented index and innovation environment.

The findings delineate four configurational pathways leading to high innovative output and three pathways resulting in low production.

This study thereby enriches the body of knowledge around technological innovation and provides actionable policy recommendations.

This study aims to explore the dynamics of workplace ostracism and dehumanization behavior and its impact on employees’ psychological contract violation, their revenge intention and psychological well-being.

The study has collected data from 329 IT sector employees working in the northern part of India using standard measures for various constructs utilized in the study. For the purpose of testing the proposed hypothesis, partial least square structural equation modeling is used.

The results show that all the hypotheses were supported, meaning employees experiencing ostracism and dehumanization at the workplace feel stressed and anxious and develop feelings of revenge, leading them to experience irrational feelings.

In the presence of workplace dehumanization and workplace ostracism, employees may experience stress, anxiety and depression. Managers must ensure a psychologically safe environment because if individuals experience ostracism or dehumanization at the workplace, they are going to affect their well-being through revenge intention behavior. Hence, it is important that managers should provide adequate resources to the employees so that they can feel psychologically safe in the workplace and hence can enhance psychological well-being.

This study is unique in terms of its contribution to the existing literature by understanding the nuances of workplace ostracism and dehumanization on employee’s well-being. The study also contributes to highlighting the advantages of using tools to establish psychological safety.

This paper aims to explore the effect of female’s presence in corporate governance structures to reduce agency conflicts, using a quantile regression approach.

The research investigates the relationship between company performance and boardroom gender diversity using quantile regression methods. The study uses annual data of 111 companies listed on the Johannesburg Stock Exchange from 2010 to 2020.

The study reveals that women on the board impact firm return on assets and enterprise value, varying across performance distribution. This contrasts fixed effect findings but aligns with two-stage least squares. However, quantile regression indicates that female executives and independent non-executive directors have notably negative impacts in high and low-performing companies, highlighting non-uniformity in the board gender diversity effect compared with previous assumptions.

The empirical findings suggest that companies with no women directors on the board are generally more likely to experience a decrease in performance and enterprise value relative to companies with women directors on the board. As recommended through the King Code of Corporate Governance, it is thus valuable to companies to ensure gender diversity on the board of directors.

The research confirms through rigorous statistical analyses that corporate governance policies, principles and guidelines should include gender diversity as a requirement for a board of directors.

Based on the cognition-affection personality system theory, this study constructs and tests a mediation model of leadership non-contingent punishment on bystander workplace deviance behavior through bystander affective rumination and bystander psychological contract violation, as well as a chain mediation effect of bystander affective rumination and bystander psychological contract violation, and explores the moderation role of bystander performance pressure in this model.

This study takes 454 employees and their colleagues from several Chinese enterprises as the research subjects and conducts a paired survey at three-time points using Mplus 7.4 to analyze the empirical data.

The research results are as follows: Bystander affective rumination and bystander psychological contract violation play a mediation role between leadership non-contingent punishment and bystander workplace deviance behavior, respectively. Bystander affective rumination and bystander psychological contract violation play a chain mediation role in the positive role of leadership non-contingent punishment on bystander workplace deviance behavior. Bystander performance pressure moderates the chain mediation path by enhancing the positive role of leadership non-contingent punishment on bystander affective rumination.

This study comprehensively explores the internal path of the impact of leadership non-contingent punishment on bystander workplace deviance behavior from the perspective of bystanders through dual paths of cognition and affection. It enriches the result variables of leadership non-contingent punishment, expands existing research on the mediation mechanism of leadership non-contingent punishment and deepens the understanding of the mechanism of leadership non-contingent punishment. At the same time, it has practical guidance significance to promote the suppression of leadership non-contingent punishment in organizations, reduce the occurrence of employee workplace deviance behavior, help employees better integrate into the organization and build a harmonious organizational environment.