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This study aims to address the relationship between economic complexities (EC) and the green economy (GE) with fraud in the listed companies on the Tehran stock exchange. The authors study whether EC and GE increase the detection of financial statement fraud.

The authors used a multiple regression model based on the panel data method and fixed effect model to test hypotheses. The sample includes 1,351 companies listed on the Iranian stock exchange from 2014 to 2021.

The results show a negative and significant relationship between EC and GE with financial statement fraud.

Since this research is the first to address the mentioned topic in emerging markets, it provides helpful insights for financial statement users, analysts and legal entities. The study fills the literature gap and promotes knowledge regarding its relevant literature.

This study aims to analyze the relationship between economic complexity (EC) and the green economy (GE) with the real and accrual earnings management (REM and AEM) of the listed companies on the Iranian stock exchange. The authors study whether EC and the GE can affect REM and AEM.

The authors used a multiple regression model based on the panel data and a fixed effect model to test hypotheses. The sample includes 1,351 companies listed on the Tehran Stock Exchange from 2014 to 2021.

The results show a positive and significant relationship between EC and the GE with REM and AEM.

Considering the importance of a GE and since this research is the first to address the mentioned topic in emerging markets, it provides helpful insights for financial statement users, analysts and legal entities. Our study fills the literature gap and promotes knowledge regarding its relevant literature. Examining this relationship portrays the latest research perspectives in this field. The information from this study can assist in environmental management decision-making and relevant policymaking, promoting the movement toward sustainable development.

This study aims to examine women’s leadership in Oman, seeking to empirically determine whether and how local perceptions of “success” and lifestyle preferences are related to women’s agency and propensity for leadership.

Drawing on the literature, this paper qualitatively analyzes 32 semi-structured interviews of diverse Omani women leaders, identifying their conceptions of success as predominantly subjective or objective. At the same time, the study uses Hakim’s (2006) lifestyle preference model to explore women's agency.

Contrary to the literature on the central importance of domestic responsibilities for Arab Muslim women, more women in leadership positions are identified as career-centered (14/32, 44%); those who did identify as family-centered (6/32, 19%) did not cite Islam to justify that preference, and success is envisioned more subjectively (19/32, 59%).

The sample has an urban bias and does not claim to be representative of all Omani women. Interviews were conducted in English; most women leaders in Oman are required to speak English.

By analyzing work-life balance preferences as a proxy for agency and interrogating Omani women's own conceptions of success, the study may lead to more robust and culturally aware policies to support women’s leadership.

Defining in subjective terms suggests that success is not necessarily equated with achieving a high level position for Omani women. Further, only 6/32 were identified as home-centered, thus indicating the critical importance of domestic support from hired labor or family members.

This study contributes new empirical findings on women leaders in Oman that illustrates the role of personal agency and lifestyle preference in contrast to many studies that treat culture as a constant.

This paper aims to examine whether and how gender diversity and CEO gender can influence firm value in the emerging market of Pakistan. The study further tests whether these relations vary across state-owned enterprises (SOE) and non-state-owned enterprises (NSOE).

This study considers Pakistani listed firms over the period 2010-2017. The firms have been divided into SOE and NSOE for additional analysis. Tobin’s Q is used to measure firm’s value.

The authors document that female directors (FDirectors) on corporate boards is positively associated with firm value. The findings also illustrate that female CEOs (FCEOs) enhances a firm value. Additional analyses show that the influence of FDirectors and FCEOs on firm value is stronger in NSOE than in SOE.

The results suggest that gender diversity and CEO gender play a significant role in corporate decisions. The findings imply that FDirectors discipline the management, reduce agency conflicts and thereby improve corporate governance, resulting in higher firm value.

This study has two important contributions. First, while prior studies mostly based their arguments on using gender diversity of corporate boards, this study shows that a firm performance can be significantly improved if a female serves as a CEO. Second, this study also tests the stated relations for SOE and NSOE and show that gender diversity plays a significant role in NSOE than in SOE.

The purpose of this study is to x-ray the issues surrounding the adoption of Internet of Things (IoT) in libraries from the perspective of developing countries.

This study theoretically reviewed the adoption of IoT in libraries in developing countries.

This study revealed context-based factors such as technological, organizational, environmental and security/privacy factors as determinants of IoT adoption in libraries of developing countries.

The value of this study arises from the need to study the adoption of technological innovation such as the IotT from the lens of developing countries and proffer solution to its associated challenges.

This paper aims to develop a grey decentralized bi-level multi-objective programming (MOP) model. A solution approach is also proposed for the given model. A production and transportation plan for a closed loop supply chain network under an uncertain environment and different scenarios is also developed.

In this paper, we combined grey linear programming (GLP) and fuzzy set theory to present a solution approach for the problem. The proposed model first solves the given problem using GLP. Membership functions for the decision variables under the control of the leader and for the goals are created. These membership functions are then used to generate the final solutions.

This paper provides insight for fomenting the decision-making process while providing a more flexible approach in uncertain logistics problems. The deviations of the final solution from the individual best solutions of the two levels are very little. These deviations can further be reduced by adjusting the tolerances associated with the decision variables under the control of the leader.

The proposed approach uses the concept of membership functions of linear form, and thus, requires less computational efforts while providing effective results. Most of the organizations exhibit decentralized decision-making under the presence of uncertainties. Therefore, the present study is helpful in dealing with such scenarios.

This is the first time, formulation of a decentralized bi-level multi-objective model under a grey environment is carried out as per the best knowledge of the authors. A solution approach is developed for bi-level MOP under grey uncertainty.

This study aims to discuss the determinants of Islamic banks’ efficiency. It tries to explore the source of Islamic banks’ inefficiencies to propose solutions to guarantee an acceptable level of technical efficiency of such banks in Gulf Cooperation Council (GCC) countries.

To achieve this objective, the authors use a parametric approach, especially, the stochastic frontier approach, using production function and panel data analysis. The authors apply a package Frontier 4.1 for the estimation process, which is composed of two principal steps. In the first step, the authors estimate Islamic banks’ efficiency scores in different GCC countries based on an output distance function. In the second step, the analysis highlights the impact of managerial-specific education on Islamic accounting and finance, scarcity of Sharīʿah scholars, the board independence and chief executive officers’ (CEOs) duality on GCC Islamic banks’ efficiency.

This study’s results document that managerial-specific education on Islamic accounting and finance and the board of directors’ composition, especially, the board’s independence, can largely explain the technical efficiency scores of Islamic banks in GCC countries. Especially, the authors find evidence that managerial-specific education is negatively associated with the inefficiency term. The coefficient of the Sharīʿah scholar’s variable has a positive sign indicating that the more there are Sharīʿah experts, the more the bank is efficient. In addition, CEOs’ duality seems to have no significant effect on GCC Islamic banks’ efficiency.

GCC Islamic banks need to improve the presence of independent members on the board of directors. In addition, these banks are invited to count more on Sharīʿah auditors and educated staff characterized by a high level of competency in the domain of Islamic banking and finance.

To the best of the authors’ knowledge, this is the first study that highlights the effect of managerial-specific education in Islamic accounting and finance and scarcity of Sharīʿah scholars on Islamic banks’ efficiency.

The present study seeks to design an index model of satisfaction among Iranian students who are studying at public universities in this country.

In this research, data were collected in two stages: in the first stage, the data related to satisfaction indices were collected from 62 experts on pedagogical science and marketing management. In the second step, the data were collected from 1,404 students and were analysed by fuzzy analytic hierarchical process method, interpretive structural modelling and structural equation modelling.

The results of this study showed that three variables “perceived quality”, “organization image” and “Student relationship management” are reliable as indicators of student satisfaction. Also, contrary to the results of previous studies, the variable of expectations cannot predict the satisfaction of the students.

Models of satisfaction have been designed in different fields. Also, in the measurement of satisfaction, attention to the field and customization is approved by researchers. Accordingly, the present study tries to design indices of satisfaction among students of state universities in Iran. It also pointed out the effect of customization on the formation of satisfaction at the Iranian and other universities.

This study aims to examine the ability of big data analytics (BDA) to investigate financial reporting quality (FRQ), identify the knowledge base and conceptual structure of this research field and explore BDA techniques used over time.

This study uses a comprehensive bibliometric analysis approach (performance analysis and science mapping) using software packages, including Biblioshiny and VOSviewer. Multiple analyses are conducted, including authors, sources, keywords, co-citations, thematic evolution and trend topic analysis.

This study reveals that the intellectual structure of using BDA in investigating FRQ encompasses three clusters. These clusters include applying data mining to detect financial reporting fraud (FRF), using machine learning (ML) to examine FRQ and detecting earnings management as a measure of FRQ. Additionally, the results demonstrate that ML and DM algorithms are the most effective techniques for investigating FRQ by providing various prediction and detection models of FRF and EM. Moreover, BDA offers text mining techniques to detect managerial fraud in narrative reports. The findings indicate that artificial intelligence, deep learning and ML are currently trending methods and are expected to continue in the coming years.

To the best of the authors’ knowledge, this study is the first to provide a comprehensive analysis of the current state of the use of BDA in investigating FRQ.

This study aims to explore the relationship between elderly users' trust in public digital cultural services (PDCS) and their intention to use PDCS, and reveal the factors affecting their intentions from the perspective of trust to make recommendations that will increase their intention to use PDCS.

Combined with the trust building model and social exchange theory, this study constructed a conceptual model of elderly users' intention to use PDCS. Data collected from Chinese elderly users who have reached the age of 60 through questionnaire surveys were tested using the structural equation model with partial least squares. Finally, the authors proposed a model of elderly users' intention to use PDCS.

This study finds that elderly users' trust positively affects their intention to use PDCS from two aspects: service features and user features of PDCS. Concerning the service features, system quality directly affects elderly users' trust in PDCS most significantly, followed by information quality and service reputation. Concerning the user features, perceived value has a higher impact on elderly users' trust than that of service features, and information literacy and information quality directly affect perceived value.

This study adds new knowledge to the users' behavior of PDCS and enriches the prior description of PDCS. The recommendations made in this study provide a series of strategies for practitioners and researchers to improve the elderly users' intention to use PDCS and bridge the silver digital divide, which offers new ideas for improving the efficiency of PDCS.