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This study investigated the in-role and extra-role performance of male and female teachers. Multigroup Analysis is applied to the unique combination of independent variable time pressures, mediating variable psychological empowerment and dependent variable teacher in-role and extra-role performance.

The reason for employing a distinctive methodology is because of male and female characteristics. In addition, data were gathered during COVID-19 using convenient sampling techniques from male and female teachers working in Pakistani higher education institutions.

The results showed that time has a significant impact on how well male and female teachers do their jobs. According to the gendered characteristics, psychological empowerment significantly intervenes between time pressure and teacher performance. Furthermore, the result provides policymakers with guidelines while assigning the task to teachers.

This article highlighted the issues of performance under time pressure imposed by an educational institution's employer and developed the mechanism for effective and efficient policies to improve the performance of teachers.

Under the lens of the cognitive theory of load, this study contributes to the literature on time pressure, psychological empowerment and teacher performance by introducing a novel concept and novel research framework.

This research work demonstrates the method of examining the influence of digitalization in social entrepreneurial perspectives. For this purpose, three major digital transformation domains, namely, blockchain, artificial intelligence (AI) and cloud services were considered. For all three domains, their adoption over time is studied and further analyzed. Consequently, it is observed that all three have a noteworthy positive influence to improve the business performance, trade, supply chain and similar disciplines. For the blockchain, their user activity like addition of new wallets, transactions made and the market price for bitcoins over time was used. For AI, data from tech fundings prior to the year 2020–2021 were obtained and AI adoption in several regions was analyzed. Finally, for cloud services, cloud computing adoption data (2009–2019) at both the individual and organizational level were studied. This research is useful for business entities to further support the fact that digitalization has modernized legacy processes, enabled rapid innovation, strengthened security and increased profitability.

The purpose of this chapter is to discuss disability hate crimes in the context of feminist theories of intersectionality.

A mixed-method approach is adopted, combing feminist auto-ethnography with case reviews of a number of disability hate crimes.

Disability hate crimes must be understood in the wider context of social inequality and the intersection of identities which make some people more vulnerable to criminal victimization than others.

Feminists can apply many of the lessons from third wave feminist debates about intersectionality to the topic of disability hate crimes, so that the multiplicity of inequalities which influence victimization are appropriately recognized. Policy changes are necessary to respond more appropriately to the intersectional forms of power underlying disability hate crimes.

There has not been a feminist exploration of disability hate crimes ever written before, so the chapter breaks new ground in exploring these issues.

The purpose of the study is to classify the radiographic images into three categories such as fillings, cavity and implant to identify dental diseases because dental disease is a very common dental health problem for all people. The detection of dental issues and the selection of the most suitable method of treatment are both determined by the results of a radiological examination. Dental x-rays provide important information about the insides of teeth and their surrounding cells, which helps dentists detect dental issues that are not immediately visible. The analysis of dental x-rays, which is typically done by dentists, is a time-consuming process that can become an error-prone technique due to the wide variations in the structure of teeth and the dentist's lack of expertise. The workload of a dental professional and the chance of misinterpretation can be decreased by the availability of such a system, which can interpret the result of an x-ray automatically.

This study uses deep learning (DL) models to identify dental diseases in order to tackle this issue. Four different DL models, such as ResNet-101, Xception, DenseNet-201 and EfficientNet-B0, were evaluated in order to determine which one would be the most useful for the detection of dental diseases (such as fillings, cavity and implant).

Loss and accuracy curves have been used to analyze the model. However, the EfficientNet-B0 model performed better compared to Xception, DenseNet-201 and ResNet-101. The accuracy, recall, F1-score and AUC values for this model were 98.91, 98.91, 98.74 and 99.98%, respectively. The accuracy rates for the Xception, ResNet-101 and DenseNet-201 are 96.74, 93.48 and 95.65%, respectively.

The present study can benefit dentists from using the DL model to more accurately diagnose dental problems.

This study is conducted to evaluate dental diseases using Convolutional neural network (CNN) techniques to assist dentists in selecting the most effective technique for a particular clinical condition.

Under the background of open science, this paper integrates altmetrics data and combines multiple evaluation methods to analyze and evaluate the indicators' characteristics of discourse leading for academic journals, which is of great significance to enrich and improve the evaluation theory and indicator system of academic journals.

This paper obtained 795,631 citations and 10.3 million altmetrics indicators data for 126,424 published papers from 151 medicine, general and internal academic journals. In this paper, descriptive statistical analysis and distribution rules of evaluation indicators are first carried out at the macro level. The distribution characteristics of evaluation indicators under different international collaboration conditions are analyzed at the micro level. Second, according to the characteristics and connotation of the evaluation indicators, the evaluation indicator system is constructed. Third, correlation analysis, factor analysis, entropy weight method and TOPSIS method are adopted to evaluate and analyze the discourse leading in medicine, general and internal academic journals by integrating altmetrics. At the same time, this paper verifies the reliability of the evaluation results.

Six features of discourse leading integrated with altmetrics indicators are obtained. In the era of open science, online academic exchanges are becoming more and more popular. The evaluation activities based on altmetrics have fine-grained and procedural advantages. It is feasible and necessary to integrate altmetrics indicators and combine the advantages of multiple methods to evaluate the academic journals' discourse leading of which are in a diversified academic ecosystem.

This paper uses descriptive statistical analysis to analyze the distribution characteristics and distribution rules of discourse leading indicators of academic journals and to explore the availability of altmetrics indicators and the effectiveness of constructing an evaluation system. Then, combining the advantages of multiple evaluation methods, The author integrates altmetrics indicators to comprehensively evaluate the discourse leading of academic journals and verify the reliability of the evaluation results. This paper aims to provide references for enriching and improving the evaluation theory and indicator system of academic journals.

The purpose of this paper is to scrutinize the marketing orientation and market-oriented cultural elements of integrated Islamic schools. These integrated schools teach modern science curriculum alongside comprehensive religious instruction in an Islamic environment.

This is an inductive, exploratory research from an interpretivist study. Narrative inquiry was undertaken to understand the perceptions, attitudes and actions of school senior management and teachers. Content analysis of the school websites and social media pages was carried out. In total, 7 schools and 16 respondents became part of the purposive sample.

The presence of several integrated Islamic schools, experienced Islamic education leadership and Islamic education consultants are evidence of a growing sector. The schools are technologically enabled, strongly customer-oriented and adept at inter-functional coordination. The need-gap found in this sector is in competitor orientation, curriculum development and recruitment of specific criteria-based staff.

With the mushrooming of integrated Islamic schools in Pakistan, the level of competition has also risen. The schools have made a considerable investment and strives to maintain and increase the enrollment rate of the institute. This research can enlighten integrated Islamic educators about effective education marketing practices and the prevalence of marketing orientation in such schools.

In Pakistan, private primary schools strive to differentiate themselves and competitively position their value proposition. The marketization of education has begun to affect perceptions of school staff, teachers, students and academic work itself. Yet, there is scarce exploratory research on marketing done by integrated Islamic primary schools. This study will contribute foundational work for the development of a holistic marketing model tailored to the requirements of integrated Islamic schools.

Branding plays a vital role in the success of every organization and even industry. In Islamic countries, every organization must consider Sharia rules while strategy making. Nowadays, the supply chain is considered a major tool of branding and marketing. After an extensive literature review, it has been found that the studies that test the marketing advantages (MAs) and sustainable competitiveness through branding are scarce. The purpose of this study is to empirically examine the relationship between branding and MAs and mediating the role of sustainable competitiveness.

This is a quantitative study. An instrument was adopted, and data were collected. The researchers tested the hypotheses from the survey data from 179 electronic organizations. The data ware analyzed through structural equation modeling to examine the proposed hypothesis of this study.

The findings indicate that the relationship among dimensions of branding attitude and MAs were supported (expect reliability). Additionally, this study also revealed that a sustainable competitive variable plays a substantial role as a mediating variable in those relationships.

This study is a cross-sectional survey. Consequently, the limited sample size from the electric industry may affect the power of generalizability. The next study may be demonstrated for other industries to respect the nature of the branding and MAs among the managerial staff of other industries.

This study will help managers to understand how to use the supply chain as branding for their MAs through sustainable competitiveness.

This study adds practical value to the literature on sustainable competitive, branding and MA and supply chain. The study shows that sustainable competitiveness has varying mediating effects on industry value.

The study aims to examine the role of consumer psychological attitude, subjective norm, perceived behavior control and pro-environmental self-identity on green food purchase intention. Also, it examines the effect of ecological conscious consumers' behavior (ECCB) on green intention and behavior.

The study has focused on the upper-middle-class segment of Karachi. The authors have used area sampling for collecting the data. Six recruited enumerators distributed 450 questionnaires in five areas of Karachi and received 423 filled-in questionnaires. The study has used the Smart PLS version for data analysis.

The study found that biospheric egoistic and hedonic values affect attitudes toward green products, and altruistic values have no effect on attitude. Also, the authors did not find any association between attitude and green purchase intention, but found that attitude stimulates ECCB. Subjective norms and perceived behavior control strongly affect green purchase intention and ECCB. The results also suggest that pro-environment self-identity and ECCB are significant predictors of green purchase intention. The authors also found that green purchase intention stimulates green food behavior.

The authors have taken a holistic approach by investigating 13relationships. The authors also examined the association between hedonic values and green purchase intentions, which in the past studies have contradictory results.

The primary objective of this study is to investigate the impact of a host country's corruption on the autonomy of a foreign subsidiary from a country with lower tolerance for corruption. In doing so, the study examines the moderating role of subsidiary-headquarters communication and multinational corporation's (MNC's) prior international experience in countries with a higher tolerance for corruption.

The data were collected from 182 foreign subsidiaries of 57 Malaysian MNCs operating in 16 host countries. The study employed ordinary least square (OLS) using Stata16.1 to analyze the modeled relationships.

The findings of this study reveal a significant positive association between the extent of corruption in the host country and the subsidiary's autonomy. The findings illustrate that an MNC's prior experience in the country with an increased tolerance for corruption does not moderate the association between corruption and subsidiary autonomy. However, the findings also confirm that the extent of headquarters-subsidiary communication negatively moderates the association between corruption and subsidiary autonomy.

The study uses unique data collected from Malaysian MNCs. Furthermore, the study contributes to the literature by bringing forth subsidiary autonomy as a counter strategy to potential risks that can arise due to weak institutions and widespread corruption in a host country.