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This study seeks to understand how accountant stereotypes have been constructed and reconstructed at the macro-national and the structural level in Chinese society.

This qualitative investigation into China's social construction of accountant stereotypes employs Becker's (1963) labelling theory. Viewing stereotyping as a socially constructed practice, this study draws on a post-positivistic, reflexive epistemology in conducting 28 semi-structured interviews with accountants and related actors.

Chinese accountant stereotypes are constructed and reconstructed according to the rules created and enforced in different cultural-political periods. The accountant stereotypes constructed during the ancient Confucian period (500 BC – 1948) were replaced during 1949 and 2012 when the political focus shifted towards propagating socialism and later promoting economic growth. They also show how Confucian stereotypes of accountants resurfaced in 2013 but were reconstructed by the central government's cultural confidence policy of propagating Confucianism.

Empirically, prior literature has focused on what the accountant stereotype is and how accountants respond to such stereotypes, but it has neglected the ways in which these accountant stereotypes are politically and culturally constructed, diffused and legitimated. This paper fills in the gap by understanding the social practice of accountant stereotyping in a previously unexplored political-cultural context, namely Chinese society. In theoretical terms, by offering the first use of Becker's (1963) labelling theory in the accounting literature, it furthermore enhances our understanding of how accountants' identities and social standing are shaped by social rules.

In recent years, the field of financial technology (Fintech) has garnered significant attention due to advancements in technology, evolving consumer preferences and the growing need for financial services that are more accessible and user-friendly. The exponential expansion of Fintech is presenting novel prospects and obstacles for business. This study aims to investigate the relationship between gender diversity on corporate boards and firms’ performance, with a particular focus on the moderating role of Fintech.

The study sample consisted of financial sector firms listed on the Bahrain Bourse (banks and insurance firms) during the period 2016–2022. The data were gathered primarily from annual reports and the Bahrain Bourse website. The independent variable represents the percentage of female directors on corporate boards while firms’ accounting and market-based performance were measured using return on assets and Tobin’s Q variables. The moderating variable, Fintech, was measured using a checklist developed using the Global Fintech Adoption Index. Fixed effect (FE) regression was used to analyze the study data. An alternative gender diversity measure was used to test the reliability of the main regression analysis.

The results of the study indicate a positive relationship between gender diversity on corporate boards and financial performance. Additionally, the findings of the study highlighted the positive impact of Fintech practices on firms’ performance. Nevertheless, the impact of Fintech on the relationship between board gender diversity and corporate performance was found to be insignificant.

The study sample included a particular sector in a single country, which may limit the generalizability of the findings. Also, the current study applied FE regression to analyze the data; however, other econometric approaches could be used to overcome the endogeneity issue.

The findings of this study may have implications for policymakers and society, particularly in terms of promoting gender diversity and Fintech innovation.

This study contributes to the existing body of research by examining the potential impact of the percentage of female directors and the utilization of Fintech on firms’ performance in Bahrain. Given the ongoing endeavors to provide advanced Fintech solutions in the financial sector and the increasing focus on enhancing gender diversity in Bahraini corporate boards, this research aims to provide additional evidence in this domain. Moreover, this study stands out as one of the limited number of research endeavors that use Fintech as a moderating variable in the investigation of the impact of female directors on firms’ performance.

This study aims to examine the influence of ownership structure and board characteristics on the performance of Indonesian Islamic rural banks (IRB) using the system generalized method of moment model.

This research uses Indonesian IRB unbalanced annual panel data from 2016 to 2022. IRB performance is measured by return on assets (ROA), return on equity (ROE) and nonperforming financing (NPF). The ownership structure is represented by controlling shareholders, ownership of the board of directors (BD) and ownership of the board of commissioners (BC). Meanwhile, board characteristics are represented by the size of the BC, the proportion of female board directors and female president directors.

The results show that the ownership structure and board characteristics play an important role in improving the IRB’s performance. Technically, the results show that the size of the BC and the ownership of the BD increase all IRB performance measures. Female president directors and controlling shareholders improve IRB’s performance as measured by ROA and ROE. Women’s boards of directors improve IRB performance as measured by NPF. Meanwhile, the ownership of the BC does not show its effect on all IRB performance measures.

This study fills a literature gap on the influence of ownership structure and board characteristics on IRB Indonesia’s performance. In addition, it adds understanding and insight for Islamic bank regulators, management and IRB depositors in Indonesia.

To the best of the authors’ knowledge, this study is one of the first to provide an empirical survey on the influence of controlling shareholders and board characteristics on IRB performance, particularly in Indonesia.

The purpose of this paper is to systematically analyze the literature around regulatory compliance and market manipulation in capital markets through the use of bibliometrics and propose future research directions. Under the domain of capital markets, this theme is a niche area of research where greater academic investigations are required. Most of the research is fragmented and limited to a few conventional aspects only. To address this gap, this study engages in a large-scale systematic literature review approach to collect and analyze the research corpus in the post-2000 era.

The big data corpus comprising research articles has been extracted from the scientific Scopus database and analyzed using the VoSviewer application. The literature around the subject has been presented using bibliometrics to give useful insights on the most popular research work and articles, top contributing journals, authors, institutions and countries leading to identification of gaps and potential research areas.

Based on the review, this study concludes that, even in an era of global market integration and disruptive technological advancements, many important aspects of this subject remain significantly underexplored. Over the past two decades, research has lagged behind the evolution of capital market crime and market regulations. Finally, based on the findings, the study suggests important future research directions as well as a few research questions. This includes market manipulation, market regulations and new-age technologies, all of which could be very useful to researchers in this field and generate key inputs for stock market regulators.

The limitation of this research is that it is based on Scopus database so the possibility of omission of some literature cannot be completely ruled out. More advanced machine learning techniques could be applied to decode the finer aspects of the studies undertaken so far.

Increased integration among global markets, fast-paced technological disruptions and complexity of financial crimes in stock markets have put immense pressure on market regulators. As economies and equity markets evolve, good research investigations can aid in a better understanding of market manipulation and regulatory compliance. The proposed research directions will be very useful to researchers in this field as well as generate key inputs for stock market regulators to deal with market misbehavior.

This study has adopted a period-wise broad-based scientific approach to identify some of the most pertinent gaps in the subject and has proposed practical areas of study to strengthen the literature in the said field.

The importance of teacher leadership in enhancing school outcomes is recognized, but there remains a scarcity of research addressing the conditions for principals to nurture such leadership. This study examined how school contextual factors, i.e. faculty trust and academic emphasis, moderate the impact of principals' distributed leadership lon teacher leadership.

A nationwide survey was conducted among junior high school teachers in Taiwan. The sample encompassed schools from different geographical regions and sizes, yielding a total of 1,340 valid responses. Hierarchical regression analyses were employed to analyze the potential moderating effects of interest.

There were interactive effects of principals' distributed leadership and school contextual factors on teachers' adoption of leadership roles. The impact of principals' distributed leadership on teacher leadership was amplified in environments marked by elevated levels of trust relations and reduced academic emphasis.

This study uncovers the critical prerequisites principals must address to cultivate teacher leadership. To effectively encourage heightened teacher engagement in leadership, principals must place a premium on nurturing trusting relations with their teaching staff and acknowledge that the influence of their leadership might be lessened in an environment where credentialism holds sway.

The exploration into faculty trust and academic emphasis yields insights into the conducive conditions for principals to foster teacher leadership. The identified attenuating impact of academic emphasis on principal effect within an Asian societal context highlights its significance not only as an organizational property but also as a manifestation of national cultural values.

Today’s in-demand skills may not be needed tomorrow. As companies are adopting a new group of technologies, they are in huge need of information technology (IT) professionals who can fill various IT positions with a mixture of technical and problem-solving skills. This study aims to adopt a sematic analysis approach to explore how the US Information Systems (IS) programs meet the challenges of emerging IT topics.

This study considers the application of a hybrid semantic analysis approach to the analysis of IS higher education programs in the USA. It proposes a semantic analysis framework and a semantic analysis algorithm to analyze and evaluate the context of the IS programs. To be more specific, the study uses digital transformation as a case study to examine the readiness of the IS programs in the USA to meet the challenges of digital transformation. First, this study developed a knowledge pool of 15 principles and 98 keywords from an extensive literature review on digital transformation. Second, this study collects 4,093 IS courses from 315 IS programs in the USA and 493,216 scientific publication records from the Web of Science Core Collection.

Using the knowledge pool and two collected data sets, the semantic analysis algorithm was implemented to compute a semantic similarity score (DxScore) between an IS course’s context and digital transformation. To present the credibility of the research results of this paper, the state ranking using the similarity scores and the state employment ranking were compared. The research results can be used by IS educators in the future in the process of updating the IS curricula. Regarding IT professionals in the industry, the results can provide insights into the training of their current/future employees.

This study explores the status of the IS programs in the USA by proposing a semantic analysis framework, using digital transformation as a case study to illustrate the application of the proposed semantic analysis framework, and developing a knowledge pool, a corpus and a course information collection.

Previous research has analyzed the consequence of network stability; however, little is known about how partner type diversity influence network stability in R&D network. Based on knowledge-based view and social network theory, the purpose of this paper is to unravel the internal mechanisms between partner type diversity and network stability through the mediating role of knowledge recombination in R&D network.

The authors collected an unbalanced panel patent data set from information communication technology industry for the period 1994–2016. Then, the authors tested the different dimensions of partner type variety and its relevance in the R&D network and the mediating role of knowledge recombination through adopting the multiple linear regression.

Results indicate an inverted U-shaped relationship between partner type diversity (variety and relevance) and network stability, whereas knowledge recombination partially mediate these relationships.

From the perspective of R&D networks, this paper explores that there are the under-researched phenomena the antecedent of network stability through nodal attributes (i.e. partner type variety and partner type relevance). Moreover, this paper empirically examined the mediating role of knowledge recombination in the partner type diversity–network stability relationships. The novel perspective allows focal firm to recognize importance of nodal attributes, which are critical to fully excavate the potential capabilities of cooperating partners in R&D network.

This study aims to investigate the three-way interaction effect of sanitary risk, aesthetic risk and psychological risk on consumers' purchase intention for second-hand clothing (SHC) based on perceived risk theory.

A survey method is used to collect data from consumers, and the final valid sample comprises 290 respondents. Partial least squares structural equation modelling (PLS-SEM) and PROCESS macro are used to analyse the data.

The results reveal that aesthetic risk moderates the negative influence of sanitary risk on purchase intention, such that the negative influence is stronger when aesthetic risk is high. In addition, the three-way interaction effect of sanitary risk, aesthetic risk and psychological risk on consumers' purchase intention for SHC is found to be significant. That is, the negative influence of sanitary risk on purchase intention is strongest when both aesthetic risk and psychological risk are high.

Previous studies have only examined the direct effect of perceived risk on consumers' purchase intention for SHC. This study contributes to perceived risk theory by examining the joint moderating effect of aesthetic risk and psychological risk on the relationship between sanitary risk and purchase intention in the context of SHC.

This paper aims to provide a comprehensive bibliometric study of housing prices according to the articles collected by the Web of Science (WOS).

This paper studies 4,125 research papers on housing prices in the core collection database of WOS. Using VOSviewer, this paper makes a bibliometric and visual analysis of the housing prices research from 1960 to 2020 and probes into the housing prices research from five aspects: time, international cooperation, institutions author cooperation and research focuses.

Keywords such as influencing factors of housing prices, analysis of supply and demand, policy and housing prices and regional cities appear frequently, which indicates the main direction of housing price research literature. Recent common keywords include regression analysis and house price forecast. Countries, like the USA started early in the study of housing prices, and the means and methods in the field of housing price research are mature, leading the forefront of housing price research. Compared with the USA and other Western developed countries, the housing price research in developing countries needs to use innovative research methods and put more effort on sustainability. Research shows that housing price is closely related to economy, and keyword cluster analysis shows that gross domestic product, interest rate, currency and other keywords related to economy are of high-frequency.

This paper only uses articles from one database (WOS), which does not represent all research papers published worldwide. Some studies have been published for a long time, and the reference value to the research focuses and future research might be limited. There are many kinds of journals included in the study with different publishing frequencies, time ranges and numbers of papers. These may have some influence on the research results.

The main theoretical contribution of this paper is to supplement the current academic research on housing prices. This paper reveals the key points of housing prices research and possible research problems that need attention. We can know from the future research direction and practice which can offer insights for future innovative direction.

This study aims to introduce a novel technique for nonlinear sensor time constant estimation and sensor dynamic compensation in hot-bar soldering using an extended Kalman filter (EKF) to estimate the temperature of the thermocouple.

Temperature optimal control is combined with a closed-loop proportional integral differential (PID) control method based on an EKF. Different control methods for measuring the temperature of the thermode in terms of temperature control, error and antidisturbance are studied. A soldering process in a semi-industrial environment is performed. The proposed control method was applied to the soldering of flexible printed circuits and circuit boards. An infrared camera was used to measure the top-surface temperature.

The proposed method can not only estimate the soldering temperature but also eliminate the noise of the system. The performance of this methodology was exemplary, characterized by rapid convergence and negligible error margins. Compared with the conventional control, the temperature variability of the proposed control is significantly attenuated.

An EKF was designed to estimate the temperature of the thermocouple during hot-bar soldering. Using the EKF and PID controller, the nonlinear properties of the system could be effectively overcome and the effects of disturbances and system noise could be decreased. The proposed method significantly enhanced the temperature control performance of hot-bar soldering, effectively suppressing overshoot and shortening the adjustment time, thereby achieving precise temperature control of the controlled object.