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This paper aims to determine whether there is a relationship between intellectual capital and social capital and internal control weaknesses and assess the relationship between the variables of intellectual capital and social capital and internal control weaknesses.

The statistical population consists of 1,309 firm-year observations from 2014 to 2020. The research hypothesis is tested using statistical methods, including multivariate, least-squares and fixed-effects regression.

The results demonstrate a negative and significant relationship between intellectual capital, social capital and internal control weaknesses. The study also finds that increased intellectual and social capital quality improves human resource utilization, control mechanism, creativity and firm performance. The results also show that intellectual capital and social capital enhancement will reduce internal control weaknesses in the upcoming years.

This paper is the pioneer study on the relationship between intellectual capital and social capital and internal control weaknesses in Iran, carried out separately and in exploratory factor analysis. This paper considers intellectual capital components for theoretical factor analysis, including human capital, structural capital and customer capital. Internal control weakness is assessed based on financial, non-financial and information technology (IT) weaknesses.

Financial reports are the basis of economic decisions that affect organizational interests and shareholders. However, there is a severe research gap concerning the factors affecting the quality of financial information (such as audit report readability and tone). Therefore, considering the importance of presenting high-quality financial information, this study aims to investigate the impact of intellectual capital (IC) and its components on the audit report's readability and tone.

The multivariate regression model tests research hypotheses. Then, hypotheses are tested via a sample of 824 observations of the listed companies on the Tehran Stock Exchange (103 companies) from 2014 to 2021, using the multivariate regression model based on pooled data and fixed effects.

Results determine that customer capital (CC) and structural capital (SC) are likely to influence the audit report tone positively. In general, the IC and human capital (HC) negatively impact auditors' tone. More analyses also document that IC and its CC, HC and SC components positively and significantly affect audit report readability based on two readability indices, including FOG and text length. Finally, findings pertaining to the third readability index (Flesch index) reveal that only HC and SC are robust based on this measurement, whereas the IC and CC have a negative and significant impact on the readability of auditors’ reports.

To the best of the authors’ knowledge, this study is the first to address this issue in emerging markets, and it provides helpful insights for users, analysts and legal institutions regarding IC, which significantly affects audit report readability and tone.

Based on an experimental study on English for Specific Purposes (ESP) students, at the Business Department at the University of Bisha, the purpose of the study is to examine the effect of chatbot use on learning ESP in online classrooms during COVID-19 and find out how Dialogflow chabot can be a useful and interactive online platform to help ESP learners in learning vocabulary well.

The research paper is based on an experimental study of two groups, an experiential group and a controlled group. Two tests were carried out. Pre-tests and post-test of vocabulary knowledge were conducted for both groups to explore the usefulness of using the Dialogflow chatbot in learning ESP vocabulary. A designed chatbot content was prepared and included all the vocabulary details related to words' synonyms and a brief explanation of words’ meanings. An informal interview is another tool used in the study. The purpose of using the interview with the participants was to elicit more data from the participants about using the chatbot and about how and in what aspects chatbot using the conversational program was useful and productive.

The findings of the study explored that the use of chatbots plays a major role in enhancing and learning ESP vocabulary. That was clear as the results showed that the students who used the chatbot Dialogflow in the experimental group outperformed their counterparts in the control group.

The study displays an important pedagogical implication as the use of chatbots could be applied in several settings to improve language learning in general or learning ESP courses in particular. Chatbot creates an interesting environment to foster build good interactions where negotiation of meaning takes place clearly seems to be of great benefit to help learners advance in their L2 lexical development.

Examining and exploring whether the use of chatbots plays a major role in enhancing and learning ESP vocabulary in English as Foreign Language setting.

The spread of coronavirus disease (COVID-19) has drastically changed the entire market structure and shopping behaviors across the world. While shoppers rushed toward e-commerce platforms during the pandemic, the key debate that rose was on how this behavior will evolve post COVID-19. The purpose of this study was to explore the different categories of e-commerce platforms’ users and propose a distinctive customer typology in the era of the COVID-19 pandemic.

An exploratory qualitative research design was adopted because of the novelty of the subject. In total, 43 participants were interviewed, including 27 consumers and 16 experts in the field of e-commerce.

Based on the findings, this study distinguishes between two stages of e-commerce usage during the pandemic. Furthermore, this study identifies four key typologies of e-commerce shoppers that are expected to form at the end of the coronavirus: duty-bound, e-watcher, makeshift and onli-vorous shoppers. The characteristics and businesses strategies pertaining to each of the identified groups are discussed.

To the best of the authors’ knowledge, this research is among the first to identify the different stages, while proposing an innovative typology of e-commerce platform post COVID-19. This study also offers useful recommendations to deal with similar future crises.

Based on the intellectual capital (IC) theory and the resource-based view (RBV), the paper seeks to elucidate the direct and indirect relationships between IC and competitive advantage in small and medium enterprises (SMEs). Therewithal, besides examining the mediating role of innovation capabilities in the IC-competitiveness link, it scrutinizes the moderating effect of entrepreneurial orientation in causing IC to boost competitiveness in SMEs through flourishing innovation capabilities.

Data were collected from 206 participants working in SMEs operating in the Kingdom of Saudi Arabia with the help of a structured questionnaire distributed through LinkedIn. Partial least square (PLS)-based structural equation modeling (SEM) using SmartPLS 4.0 has been performed to calibrate the auxiliary and structural models.

Based on the empirical analysis, IC significantly and directly enhances the competitive advantages of SMEs. Additionally, innovative capability has been found to be a complementary partial mediating condition in enabling IC to foster competitiveness in SMEs. Furthermore, the moderated mediation analysis reveals that innovation capabilities strongly mediate the association between IC and competitiveness in SMEs, characterizing higher entrepreneurial orientation.

The study provides significant insights to academicians and practitioners seeking to comprehend or configure interactions among IC, innovation capabilities, and entrepreneurial orientation in maturing competitiveness among SMEs, especially in emerging economies. Furthermore, the study provides a valuable integrative perspective on SMEs’ competitiveness by involving three voguish constituents of contemporary scholarly discourse grounded into the leading underpinning theoretical perspectives, such as IC theory, RBV, and entrepreneurship theory.

The uniqueness of this model lies in its rich theory-laden conceptualization and explanation that could extend theoretical debate and managerial action to the next levels.

This research aims to create a methodology that integrates optimization techniques into preliminary cost estimates and predicts the impacts of design alternatives of steel pedestrian bridges (SPBs). The cost estimation process uses two main parameters, but the main goal is to create a cost estimation model.

This study explores a flexible model design that uses computing capabilities for decision-making. Using cost optimization techniques, the model can select an optimal pedestrian bridge system based on multiple criteria that may change independently. This research focuses on four types of SPB systems prevalent in Egypt and worldwide. The study also suggests developing a computerized cost and weight optimization model that enables decision-makers to select the optimal system for SPBs in keeping up with the criteria established for that system.

In this paper, the authors developed an optimization model for cost estimates of SPBs. The model considers two main parameters: weight and cost. The main contribution of this study based on a parametric study is to propose an approach that enables structural engineers and designers to select the optimum system for SPBs.

The implications of this research from a practical perspective are that the study outlines a feasible approach to develop a computerized model that utilizes the capabilities of computing for quick cost optimization that enables decision-makers to select the optimal system for four common SPBs based on multiple criteria that may change independently and in concert with cost optimization during the preliminary design stage.

The model can choose an optimal system for SPBs based on multiple criteria that may change independently and in concert with cost optimization. The resulting optimization model can forecast the optimum cost of the SPBs for different structural spans and road spans based on local unit costs of materials cost of steel structures, fabrication, erection and painting works.

The authors developed a computerized model that uses spreadsheet software's capabilities for cost optimization, enabling decision-makers to select the optimal system for SPBs meeting the criteria established for such a system. Based on structural characteristics and material unit costs, this study shows that using the optimization model for estimating the total direct cost of SPB systems, the project cost can be accurately predicted based on the conceptual design status, and positive prediction outcomes are achieved.

Auditors should realize misstatements and communicate to managers for adjustments. Managers usually modify the misstatements, but they have motivations, like earnings management, for not altering the misstatements. The auditor expects to identify the misstatements’ earnings management, inform the managers and reduce earnings management by proposing adjustments. This study aims to determine whether identified and adjusted misstatements cause a decline in earnings management. Is the increase in the materiality of identified and adjusted misstatements associated with a reduction in earnings management?

The identified and adjusted misstatements are obtained from the difference between nonaudited financial statements and audited ones. Earnings management is computed using the adjusted Jones model, and the quantitative materiality threshold has also been calculated based on the Iranian auditors’ guidelines. These variables and other required information were gathered for 159 listed firms on the Tehran Stock Exchange during 2014–2019 and examined by the regression models.

The results show a negative relationship between identified and modified misstatements of total assets and earnings management and a positive and significant relationship between identified and adjusted misstatements of total liabilities and earnings management. However, the positive relationship between identified and adjusted misstatements of net income with earnings management is not significant. Besides, the relationship between the materiality difference and an absolute value of identified and adjusted misstatements (materiality minus the absolute value of misstatements) of total assets and earnings management is positive and significant, but the negative association between materiality difference and the absolute value of identified and adjusted misstatements of total assets and earnings management is not significant. The relationship between materiality difference and the absolute value of identified and adjusted net income and earnings management misstatements is negative and significant. These results indicate that the more material the identified and adjusted misstatements, the less earnings management.

The difference between nonaudited and audited financial statements represents identified and adjusted misstatements (audit adjustments). The client probably made some adjustments, but separating these adjustments from the auditor’s identified items was impossible with the available data.

The results show that significant audit adjustments decline earnings management. Paying more attention to a high-quality audit performed by the audit firms, auditors, managers and users and, consequently, discovering misstatements and adjusting or reporting them would decline the earnings management’s unfavorable impacts.

The unfavorable consequences of earnings management can cause the inappropriate transfer of wealth in the capital market and some investors’ loss to others’ benefit. These consequences can cause a loss of trust and leave unfavorable psychological effects on the capital market and society. Identifying and adjusting significant misstatements can lead to the decline of such impacts.

The previous studies assessed the relationship between identified and adjusted misstatements (audit adjustments) and earnings quality or earnings management. However, this study focuses on audit adjustments’ materiality to assess the impact of significant adjustments on earnings management.

Political Science in the United States has focused too much on variable-oriented, quantitative methods and thus lost its ability to ask “big questions.” Stein Rokkan (d. 1979) was an eminent comparativist who asked big questions and provided such qualitative tools as conceptual maps, grids, and clustered comparisons. Ibn Khaldun (d. 1406), arguably the first social scientist, also asked big questions and provided a universal explanation about the dialectical relationship between nomads and sedentary people. This article analyzes to what extent Ibn Khaldun's concepts of asabiyya and sedentary culture help understand the rise and fall of the Muslim civilization. It also explores my alternative, class-based perspective in Islam, Authoritarianism, and Underdevelopment. Moreover, the article explores how Rokkan's analysis of cultural, geographical, economic, and religio-political variations within Western European states can provide insights to the examination of such variations in the Muslim world.

Images taken from construction site interiors often suffer from low illumination and poor natural colors, which restrict their application for high-level site management purposes. The state-of-the-art low-light image enhancement method provides promising image enhancement results. However, they generally require a longer execution time to complete the enhancement. This study aims to develop a refined image enhancement approach to improve execution efficiency and performance accuracy.

To develop the refined illumination enhancement algorithm named enhanced illumination quality (EIQ), a quadratic expression was first added to the initial illumination map. Subsequently, an adjusted weight matrix was added to improve the smoothness of the illumination map. A coordinated descent optimization algorithm was then applied to minimize the processing time. Gamma correction was also applied to further enhance the illumination map. Finally, a frame comparing and averaging method was used to identify interior site progress.

The proposed refined approach took around 4.36–4.52 s to achieve the expected results while outperforming the current low-light image enhancement method. EIQ demonstrated a lower lightness-order error and provided higher object resolution in enhanced images. EIQ also has a higher structural similarity index and peak-signal-to-noise ratio, which indicated better image reconstruction performance.

The proposed approach provides an alternative to shorten the execution time, improve equalization of the illumination map and provide a better image reconstruction. The approach could be applied to low-light video enhancement tasks and other dark or poor jobsite images for object detection processes.

The purpose of this article was to investigate the employee perceptions of diversity management and employee performance. To achieve this, employee respondents’ perceptions and perspectives have been tested, and findings are discussed.

To address this study's purpose, survey data were collected from 250 employees of two organizations in the United Arab Emirates (UAE). Data were analyzed by age, gender and nationality for two variables: diversity management and employee performance.

Results showed that respondents perceived an improvement in employee performance when diversity was managed for employees of different age groups, females/males working together and a workplace composed of employees from various nationalities.

The implication of this limited study is that further studies on the perception of diversity management for employee performance in the Middle East region needs to be conducted. The social implication is that organizational leaders can initiate diversity management to improve employee performance. The research is limited by the geographical context and access to the collection of data during the COVID-19 pandemic.

The implication of this limited study is that further studies on the perception of diversity management for employee performance in the Middle East region needs to be conducted. The social implication is that organizational leaders can initiate diversity management to improve employee performance.

The contribution to academic knowledge from this research is two-fold: findings from a novel study conducted in the Middle East evidenced diversity management improved perceptions of employee performance. The value of the study for praxis is to incorporate employees' belief in diversity management for its potential to improve employee performance.