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This study aims to understand the factors that influence millennial Muslims in South Tangerang's intention to donate cash, by applying the Extended Theory of Planned Behaviour (ETPB) approach. This research involves analysis using the SmartPLS tool to evaluate the role of attitude, subjective norms, perceived behavioral control, and moral obligation on cash waqf intention. The results show that positive attitudes towards waqf, social environmental influences, self-control, as well as moral responsibility play an important role in shaping cash waqf intentions among millennial Muslims. Attitude towards waqf is influenced by an understanding of the importance of waqf in Islam and the resulting social benefits. Subjective norms are shaped by family support and social environment, while perceived behavioral control is closely related to an individual's belief in his or her ability to endow. In addition, moral obligation shows a significant influence in driving cash waqf intention. This study provides important insights for stakeholders in promoting cash waqf as an integral part of economic and social empowerment in Muslim societies. [ABSTRACT FROM AUTHOR]

The article extends the empirical literature on overconfidence bias in G7 stock markets during pre- and post-COVID-19 and provides additional evidence. Using vector autoregression and impulse response functions (IRFs), we analyze the overconfidence bias for the daily data from January 2015 to December 2021. Because the pertinent coefficients are positive and highly significant for only a few lags, there is a strong contemporaneity between market volume and market return in the pre-COVID-19 period of the Canadian and Italian stock markets. The study shows compelling evidence of overconfident behavior in the Italian market during the COVID-19 crisis. Along with trading volume, market liquidity influences overconfidence bias, which tracks market return but not vice versa. For investors, decision-makers, and market regulators, the study has significant ramifications in the current market turbulence caused by the COVID-19 pandemic. Furthermore, overconfidence contributes to the reported extra unpredictability due to the high level of sensitive data. [ABSTRACT FROM AUTHOR]

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The present study determines the impacts of different types of green intellectual capital such as green human capital, green structural capital, and green relational capital on environmental sustainability in the Sultanate of Oman. It has become a crucial aspect to analyze the effect of green intellectual capital on ecological sustainability. A simple random sample technique is used to assemble data using a structured questionnaire from 205 respondents working at Raysut Cement Company and Salalah Methanol Company in Oman. The covariance-based equation in the structural modeling perspective is used to examine data. The study's results reveal that green structure-based capital is the only dimension of green Intellectual capital that significantly affects environmental sustainability. In contrast, green human capital and relation-based capital do not substantially affect ecological sustainability. Conclusively, this study also provides ecological strategies that can be useful to enrich organizations to accomplish sustainability. [ABSTRACT FROM AUTHOR]

Copyright of Industria Textila is the property of Institutul National de Cercetare-Dezvoltare pentru Textile si Pielarie and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The recent global pandemic impacted stock markets worldwide, including developed and emerging markets. This paper investigates changes in volatility from a sample of daily returns of FTSE100, DAX and CAC for the UK, Germany, and France, respectively. We test the fitness of GARCH (1, 1) to model the volatility, measure the interrelationship between selected samples, and abstract the changes in volatility before and during the pandemic period. Used and analysed daily closing returns from 2000-01-01 to 2022-31-01 with Generalised Autoregressive Conditional Heteroskedasticity (GARCH 1, 1) and Value-at-Risk (VaR) with Normal and Mills approach. Data has been divided into three phasesbefore, during, and after the Covid 19 pandemic. The finding confirms persistent volatility for selected samples, the strong interrelationship among the German stock market and UK stock market than in France and German markets, dynamic changes in volatility patterns before, during and after the pandemic. The study results confirm the increase in normal volatility patterns after the pandemic. Further, finding exhibits the dynamics of volatility and response during the different four-phases, changing the degree of risk and prospective returns. [ABSTRACT FROM AUTHOR]

THE PURPOSE OF THIS STUDY IS TO ASSESS THE EFFICACY OF THE DIGITALIZATION IN HIGHER EDUCATION OF BIHAR DURING THE LOCKDOWNS OF COLLEGES AND UNIVERSITIES DUE TO COVID-19 PANDEMIC AND TO FIND WHETHER GENDER, COURSE OPTED, STREAM OF STUDY, MEDIUM OF STUDY, RESIDENTIAL AREA, FAMILY INCOME LEVEL, ONLINE CLASS ATTENDED, ACTUAL TIME SPENT ON USING INTERNET FOR EDUCATION, AND OWNERSHIP OF GADGETS USED IN ONLINE CLASSES AFFECT THE EFFECTIVENESS OF DIGITALIZATION IN HIGHER EDUCATION IN BIHAR. THE DATA USED IN THIS STUDY ARE PRIMARY IN NATURE AND COLLECTED BY USING THE QUESTIONNAIRE METHOD FROM 429 STUDENTS OF THIRTEEN DIFFERENT STATE UNIVERSITIES AND ONE OPEN UNIVERSITY. AS MANY PREDICTORS ARE CATEGORICAL IN NATURE MULTINOMIAL LOGISTIC REGRESSION HAS BEEN USED TO ASSESS THE IMPACT OF VARIOUS DEMOGRAPHIC AND SOCIO-ECONOMIC FACTORS ON EFFICACY OF DIGITALIZATION IN HIGHER EDUCATION IN BIHAR. IT HAS BEEN FOUND THAT THE VARIABLES LIKE MONTHLY INCOME OF THE FAMILY, TIME ACTUALLY SPENT BY THE STUDENTS FOR EDUCATION BY USING INTERNET PER DAY, STREAM OF THE STUDY, MEDIUM OF THE STUDY, RESIDENTIAL AREA AND GENDER ARE SIGNIFICANT FACTORS THAT AFFECT THE DIGITALIZATION IN HIGHER EDUCATION IN BIHAR DURING THE PANDEMIC. THE STUDY COULD CONTRIBUTE IN TWO WAYS. FIRST, THE RESULTS OF EFFICACY OF DIGITALIZATION IN HIGHER EDUCATION IN BIHAR OF A LOWEST EDUCATION INDEX RANKING STATE WILL DEPICT AN AUTHENTIC PICTURE OF EFFECTIVENESS OF DIGITALIZATION IN HIGHER EDUCATION IN BIHAR IN BACKWARD STATES AND THEREBY ADD UP TO THE EXISTING LITERATURE AND SECOND, THE SIGNIFICANT FACTORS OF THE MODEL COULD ASSIST THE POLICY MAKERS IN TAKING CORRECTIVE MEASURES WHILE TAKING ANY DECISION TO DIGITALIZE THE EDUCATION IN SUCH KIND OF STATES IN INDIA. [ABSTRACT FROM AUTHOR]