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Compared with the high stiffness of traditional CNC machine tools, the structural stiffness of industrial robots is usually less than 1 N/µm. Chatter not only affects the quality of robotic milling but also reduces the accuracy of the milling process. The purpose of this paper is to reduce chatter in the robotic machining process.

First, the mode coupling chatter mechanism is analyzed. Then the milling force model and the principal stiffness model are established. Finally, the robot milling stability optimization method is proposed. The method considered functional redundancies, and a new robot milling stability index is proposed to improve the quality of milling operations.

The experimental results prove a significant reduction in force fluctuations and surface roughness after using the proposed robotic milling stability optimization method.

In this paper, a new robot milling stability index and a new robot milling stability optimization method are proposed. This method can significantly increase the milling stability and improve the milling quality, which can be widely used in the industry.

The textile sector is one of the sectors where competition is intense and requires the production of high-value-added products. This study aims to conduct patent analysis to find the technology status, recent trends, applications and technological evaluations of protective textile technologies in practice.

More than 36,840 patent documents related to protective textile technologies are available for researchers, patent examiners and patent researchers. Patent analysis is conducted to report the technology status, recent trends and applications of protective textile technologies. This analysis provides insights into the possible future directions of protective textile technologies in practice. Additionally, association rule mining (ARM) is performed to find the hidden patterns among protective textile technologies.

The development of protective textile technologies is revealed by the technology evaluation in this study. In addition, the sub-technology classes affecting protective textile technologies are examined using the cooperative patent classification (CPC) codes of the patent documents. Technology status and recent trends of protective textile technologies are provided in detail. The results of this study show that (1) protective textile technologies are constantly being developed, (2) the working areas of medical protective textiles are increasing, (3) there are frequent studies on fabric structures for saving lives within the framework of human needs and (4) there are four technology classes, namely A41D, Y10T, B32B and A62B impacting the other technology classes related to textile technologies such as D10B, Y10T, F41H, A62D, D04H, Y10S and D10B.

To have a competitive advantage in the marketplace, evaluation of textile technologies is critical in developing “functionalized” and “technologized” textile products. In particular, evaluating technologies in developing protective textile products is extremely important to meet customer demands and present competitive products in the market. Examining these patents for technology developers, decision-makers and policymakers is an urgent and necessary job. However, studies examining the development of protective textile technologies with patent analysis are very limited in the literature. To fill this gap, technology status, recent trends and applications of protective textile technologies are reported based on patent analysis and ARM in this study.

With the help of basic physics, the application of computer algorithms in the form of recent advances such as machine learning and neural networking in textile Industry has been discussed in this review. Scientists have linked the underlying structural or chemical science of textile materials and discovered several strategies for completing some of the most time-consuming tasks with ease and precision. Since the 1980s, computer algorithms and machine learning have been used to aid the majority of the textile testing process. With the rise in demand for automation, deep learning, and neural networks, these two now handle the majority of testing and quality control operations in the form of image processing.

The state-of-the-art of artificial intelligence (AI) applications in the textile sector is reviewed in this paper. Based on several research problems and AI-based methods, the current literature is evaluated. The research issues are categorized into three categories based on the operation processes of the textile industry, including yarn manufacturing, fabric manufacture and coloration.

AI-assisted automation has improved not only machine efficiency but also overall industry operations. AI's fundamental concepts have been examined for real-world challenges. Several scientists conducted the majority of the case studies, and they confirmed that image analysis, backpropagation and neural networking may be specifically used as testing techniques in textile material testing. AI can be used to automate processes in various circumstances.

This research conducts a thorough analysis of artificial neural network applications in the textile sector.

The aim of this review is to present together the studies on textile-based moisture sensors developed using innovative technologies in recent years.

The integration levels of the sensors studied with the textile materials are changing. Some research teams have used a combination of printing and textile technologies to produce sensors, while a group of researchers have used traditional technologies such as weaving and embroidery. Others have taken advantage of new technologies such as electro-spinning, polymerization and other techniques. In this way, they tried to combine the good working efficiency of the sensors and the flexibility of the textile. All these approaches are presented in this article.

The presentation of the latest technologies used to develop textile sensors together will give researchers an idea about new studies that can be done on highly sensitive and efficient textile-based moisture sensor systems.

In this paper humidity sensors have been explained in terms of measuring principle as capacitive and resistive. Then, studies conducted in the last 20 years on the textile-based humidity sensors have been presented in detail. This is a comprehensive review study that presents the latest developments together in this area for researchers.

Even though the gender literature has addressed the independent effects of female audit committee members and female audit partners on audit quality, this research primary analyses whether the association between the presence of a female audit partner and audit quality depends on (fe)male participation on the audit committee of the audited client-firm. It further examines whether the relationship between female participation on the company's audit committee and audit quality is contingent on having a (fe)male audit partner.

A large sample of firm-year observations from the Swedish Corporation has been analyzed for the period that covers the years 2010–2019. The research hypotheses have been analyzed using the year and the industry fixed effect estimations clustered at the firm level.

In accordance with “the similarity-attraction theory”, the research findings provide support for a positively (negatively) significant relationship between female audit committee female representation and both audit fees and the audit reporting lag (earnings management) in client-firms of female audit partners, albeit insignificant in client-firms of male audit partners. This underscores that the presence of a female audit partner leads the beneficial link between female audit committee directorship and audit quality. Regression results on whether the relationship between female audit committee directorship and audit fees is contingent on having a (fe)male audit partner indicate that female audit partners earn higher (lower) audit fees in companies with gender-diverse (all male) audit committees. This corroborates (in somewhat) the male-female disparities in compensation within the public-audit firms' leading ranks, regarded as a male-dominated workplace worldwide. In conjunction with the argument that (compared to their male rivals) female auditors face more difficulties to reach partnership positions in the public-audit firms and are, thereby, more cautious about the loss of these positions through (in almost cases) exerting more audit efforts, and preventing their audited client-firms from manipulating earnings, the authors reveal that female audit partners are associated with longer (lower) audit reporting lags (earnings management) in both companies with gender-diverse and companies with all-male audit committees. The authors therefore conjuncture that the beneficial female auditor effect on audit quality is not contingent (in somewhat) on (fe)male participation on the company's audit committee. Collectively, the baseline reported results seem sound as they dissipate for a host of alternative metrics for both the dependent and the independent variables. Collectively, the baseline reported results seem sound as they dissipate for a host of alternative metrics for both the dependent and the independent variables.

This study heeds the recent claim for examining the gender effect on the interpersonal interaction between the main participants in the company's auditing process.

The purpose of this paper is twofold. First, this study examines the relationship between the presence of a female (rather than a male) audit partner and the client firm’s accruals quality. Second, this study explores whether and how the female audit partners’ specific attributes influence the gendered auditor effect on the quality of the client firm’s accruals quality (if it exists).

Research hypotheses have been tested by conducting both univariate and multivariate empirical analyses based on a large sample of firm-year observations from the Swedish Corporation for the years 2010–2019. During the sample timeframe, the client firms have been audited by 56 female and 231 male audit partners.

The research findings first indicate that client firms of female audit partners are associated with downward earnings management, indicating a beneficial female auditor effect on client firm’s accruals quality. Results from the audit partner change analysis exhibit that the adverse female auditor effect on the client firm’s earnings management, and hence, the beneficial female auditor effect on the client firm’s accruals quality occurs from the first year of the assignment of a female audit partner to replace a male audit partner. When looking at how specific attributes of female audit partners influence accruals quality of their audited clients, this study reveals that the favorable female auditor effect on the client firm’s accruals quality holds constant for all the female audit partners’ specific attributes included in the researched models. This underscores that the mere presence of a female audit partner constrains earnings management and enhances, thereby, the client firm’s accruals quality.

This research supports regulators calling for the appointment of more women to the audit firms’ leading ranks (e.g. leadership).

With the demographic increase, especially in big cities, heavy traffic, traffic congestion, road accidents and augmented pollution levels hamper transportation networks. Finding the optimal routes in urban scenarios is very challenging since it should consider reducing traffic jams, optimizing travel time, decreasing fuel consumption and reducing pollution levels accordingly. In this regard, the authors propose an enhanced approach based on the Ant Colony algorithm that allows vehicle drivers to search for optimal routes in urban areas from different perspectives, such as shortness and rapidness.

An improved ant colony algorithm (ACO) is used to calculate the optimal routes in an urban road network by adopting an elitism strategy, a random search approach and a flexible pheromone deposit-evaporate mechanism. In addition, the authors make a trade-off between route length, travel time and congestion level.

Experimental tests show that the routes found using the proposed algorithm improved the quality of the results by 30% in comparison with the ACO algorithm. In addition, the authors maintain a level of accuracy between 0.9 and 0.95. Therefore, the overall cost of the found solutions decreased from 67 to 40. In addition, the experimental results demonstrate that the authors’ improved algorithm outperforms not only the original ACO algorithm but also popular meta-heuristic algorithms such as the genetic algorithm (GA) and particle swarm optimization (PSO) in terms of reducing travel costs and improving overall fitness value.

The proposed improvements to the ACO to search for optimal paths for urban roads include incorporating multiple factors, such as travel length, time and congestion level, into the route selection process. Furthermore, random search, elitism strategy and flexible pheromone updating rules are proposed to consider the dynamic changes in road network conditions and make the proposed approach more relevant and effective. These enhancements contribute to the originality of the authors’ work, and they have the potential to advance the field of traffic routing.

This study aims to examine the relationship between the individual auditor’s industry specialization and the audit report lag (hereafter ARD). Further, it explores whether changing in the audit reporting requirement (i.e. the adoption of ISA701) influences the auditor’s industry specialization effect on the ARD.

A large data set of companies listed on the NASDAQ OMX Stockholm over the period 2010–2019 has been analyzed. Least squares regressions have been estimated to provide empirical evidence for the researched hypotheses.

The research findings indicate that the ARD is shorter for client firms audited by an industry specialist audit partner. Testing for the moderating role of changing in the auditing reporting regulation on the relation between the audit partner’s industry specialization and the ARD, the authors reveal that all client firms (except client firms with industry specialist audit partners) experienced an increase in the ARD. Overall, the baseline regression findings are found to be robust to the endogenous auditor choice and multiple measures of both the ARD and the auditor’s industry specialization.

This paper provides novel evidence on the relationship between the audit reporting lag and industry specialization from the individual auditor perspective, an issue that has hitherto been unexplored. The regression results further contribute to the upsurge debate about the consequences of changing in the audit reporting model by providing consistent support for the importance of industry specialization of the audit partner in minimizing costs derived from the former requirement.

The aim of this study was to identify interventions for and mechanisms of the digital transformation of purchasing and supply management (PSM) processes. The digital transformation of tactical and operational PSM processes has often progressed slowly despite the solid knowledge of advanced technologies.

This study used a qualitative exploratory approach based on 14 interviews with PSM executives from firms that are continuously working toward using advanced technologies in their PSM processes but have not yet gained full strategic benefits from digital transformation.

This study formulates five propositions regarding interventions and mechanisms that can positively influence the digital transformation of PSM processes. The main intervention in this regard is the renewal of data infrastructure, including platforms. PSM-related data should meet needs from both tactical and operational viewpoints. When applications serve as a source of data, they support digital transformation. Mechanisms such as supplier measurement and process improvement are outcomes of the digital transformation of PSM processes.

This study highlights the importance of common data sets for tactical and operational purchasing. These purchasing data should be owned and served by a cross-functional team. To create this interoperability, a firm needs global governance of open standards.

This study makes a theoretical contribution to the discussion of what kind of interventions positively influence on the digital transformation of PSM processes. Specifically, this study explains the integration needs of data and applications.

This paper aims to examine the impact of board gender diversity (BOGD) following the adoption of gender quota legislation on earnings management (EM) in an emerging market, Egypt, whose cultural and economic conditions and institutional context are unlike most previously studied countries’ context.

The authors use ordinary least squares (OLS) regression to estimate the impact of gender quota legislation on EM using data from listed companies in Egypt from 2015 to 2022. Difference-in-difference (DID) approach estimation was used to validate the robustness of the main results.

This paper documents that gender diversity on boards has a significantly negative impact on EM. In addition, this paper provides robust evidence using the DID approach to show that BOGD is significantly negatively linked with EM for the period following gender quota legislation. Furthermore, the results support the critical mass and agency theories.

The findings of this study have important implications for Egyptian companies, regulatory bodies and investors in emerging markets. Specifically, these results suggest that when choosing board members, enterprises should pay particular attention to BOGD, and female involvement in all listed firms should be monitored by regulators.

This paper provides evidence supporting the positive contribution of women in society by enhancing the economic performance of Egyptian firms and promoting the country’s sustainable development strategy in light of Egypt vision 2030.

As per the authors' knowledge, this empirical study is unique in investigating the impact of BOGD quota regulation on EM in Egypt. This paper contributes to BOGD as a major factor in improving financial reporting quality in Egyptian companies.