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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]

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 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.)

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 efficient planning, execution, and management of institutional frameworks for climate change adaptation are essential to sustainable development. India, in particular, is known to be disproportionately vulnerable to the consequences of climate change. This study examines the effects of environmental taxes, corruption, urbanization, economic growth, ecological risks, and renewable energy sources on CO2 emissions in India from 1978 to 2018. Therefore, the ARDL model is used to draw inferences, and Pairwise Granger causality is also applied to demonstrate a cause-and-effect relationship. The empirical results show that corruption, environmental dangers, GDP, and urbanization positively influence India's carbon emissions. However, the results of short-run elasticities show that carbon emissions reduce ecological sustainability. Environmental hazards and costs, like other countries, impact India's carbon emissions. Therefore, decision-makers in India should set up strict environmental regulations and anti-corruption measures to combat unfair practice that distorts competition laws and policies. In addition, the government concentrates more on energy efficiency policies that diminish carbon emissions without hampering economic growth in the country. [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]

The study uses wavelet power spectrum and wavelet coherence transformation methodologies to examine how geopolitical risk affected the returns on stocks, oil, and gold during the GFC, COVID-19, and Russia-Ukraine war-three disruptive events that affected the world's financial markets. For better diversification benefits during the turbulent times, we further investigate the degree of co-movement in frequency and time domains. We observe that GPR has high variations during Russia-Ukraine war period compared to COVID-19 period and is shown to have least variation during the GFC period. WTI crude oil and DJGI indexes are observed to have high variations during GFC, and COVID-19 periods followed by Russia-Ukraine war. We further observe that GOLD offers better diversification opportunity as well as leading movement against WTI and DJGI during disruptive events in financial markets. The results provide new understanding of how geopolitical risk affects financial assets for international investors, fund managers, and regulators, which would further aid to find risky and safer haven possibilities during the turmoil periods. [ABSTRACT FROM AUTHOR]

One of the prominent types of calendar anomalies includes holiday effects, where stocks show abnormally higher mean returns on the days prior to holidays in comparison to other trading days. The current study investigates the existence of holiday effects in the stock exchanges of the Gulf Co-operation Council, namely, Kuwait, Bahrain, Qatar, Oman, Saudi Arabia, and the United Arab Emirates for the period between January 2009 and December 2020. The national holidays that are considered for the study are New Year's Day, Mawlid al-Nabi (Prophet birthday), Eid-Al-Isra Wal Miraj, Eid-Al-Fitr, National Day, Hegire Day (Islamic New Year), and Christmas Day. The study employs descriptive statistics and the non-parametric Mann–Whitney U test. The findings of the study disclosed the significant pre-holiday mean returns for ADSMI, BHSEASI, DFMGI, MSM30, TASI and FTDKUW, whereas significant post-holiday mean returns were found only in MSM30 and TASI. The study provided evidence for the presence of a calendar anomaly like holiday effects in the major indices of the Gulf Co-operation Council and proved the market was not in an efficient form during the study period. [ABSTRACT FROM AUTHOR]

This study aims to determine the impact of banking efficiency on the profitability of the Indian banking division. The ratios (key variables) used in the study are mentioned by the Reserve Bank of India—RBI (Central bank of India). Through a quantitative approach, pooled panel regression, univariate analysis, correlation, and descriptive statistics models are used by taking annual data of the Indian banking division from 2001 to 2020 available on the Thomson Reuters (Refinitiv) Database. Unbalanced cross-sectional data (panel data) comprising 527 bank-year observations for 33 Indian banks were studied. It was decided to evaluate the impact of efficiency (cost to income ratio and staff expenses to total expenses ratio) on the profitability (return on assets and net interest margin ratio) of the banks from the Indian banking division. The results revealed that the cost to income ratio has a significant negative impact on the bank return on assets and net interest margin ratio. The staff expenses to total expenses ratio has a significant positive impact on the bank return on assets and a positive nonsignificant impact on the bank net interest margin ratio. [ABSTRACT FROM AUTHOR]

This research makes an attempt to understand various factors that influence the adoption of mobile applications. Within the context of the "Unified theory of acceptance and use of technology" (UTAUT) modified model, considering the upcoming demand and increase in demand for mobile-banking applications, the researcher tried to explore the theoretical concept between random people of various states in India. The primary data was collected by preparing a questionnaire and circulating it using Google Forms. The collected data was further coded into Smart PLS 4 to understand the model and structural equation with reference to mobile-banking technological adoption and factors that had a significant impact. The conclusions derived from the study is that social influence, "effort expectancy", and "trust" factors had a very strong influence on the "purchase intention", whereas "effort" and "risk" factors had a negligible impact on purchase intent. It was also found that the UTAUT model is appropriate for evaluating the technological adoption of mobile-banking applications. With the advent of many players in the market and their unique banking management applications on mobile platforms, consumers are moving towards different third-party app than their origin bank in which they hold account. This has forced banking institutions to up the pace in the competition, introducing a lot of new features. It is also important to understand that, as a customer, there are a lot of attributes that he would be looking into for adoption. This paper is an attempt to understand the advancements in various variables that consumers would look at in the area of mobile-banking applications. [ABSTRACT FROM AUTHOR]

This paper aims to empirically test the impact of entrepreneurial competencies on the performances of SMEs in Bangladesh. The data are obtained from 115 entrepreneurs by a structured questionnaire. The partial least square structural equation modeling (PLS-SEM) method is applied to find the causal relationship between exogenous and endogenous variables. The results reveal that the organizing and leading, learning, relationship, and commitment competencies of entrepreneurs have a meaningful impact on SME performance. On the contrary, strategic and opportunity competencies have no effect on the performance of SMEs. The contribution of this study is to find out the relevant entrepreneurial competencies and to empirically test their impacts on the performance of SMEs in a developing country setting. This study gives insights into the policymakers regarding the entrepreneurship training and development program. Finally, the competency measurement of this study provides a unique scope for designing such training and development programs for entrepreneurs. [ABSTRACT FROM AUTHOR]

In the era of fintech, businesses using technology other than traditional banks are providing financial services. Crowdfunding and peer-to-peer (P2P) lending are two of the most exciting financial innovations of the twenty-first century. In this paper, we use a bibliometric review and meta-analysis to understand the academic research on crowdfunding and P2P lending. Our findings show that the research on this topic has grown a lot in terms of publications since 2013 and the maximum mean total citations were observed in the year 2014. We provide the details about the most influential authors based on total citations, authors with the greatest number of publications, the most influential documents, significant journal sources, highest single country production, multiple country production, and important affiliations. We further apply the network analysis and visualisation techniques wherein we provide the details of the citation analysis of documents, co-citation analysis of authors, and co-occurrence analysis of author keywords. Finally, we provide the future directions of the research on this burgeoning topic. [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.)

Access to clean drinking water is essentially required for human existence. It is a formalized fact that contaminated drinking water poses a serious threat to human life as the endowment of unpolluted drinking water to Pakistan's inhabitants is the local government's foremost duty. Thus, to conquer this purpose, the local government, with the coordination of the community development department (CD), fixed drinking water filtration plants at several places in Lahore. This study aimed to discover the health threats and health-associated costs endured by households in the target study areas and the effects of drinking water on infants' and children's health in areas having and lacking water filtration plants by employing the health lifestyle model. Moreover, this study compared waterborne disease incidence in households in targeted areas with and without local government filtration plants. For this purpose, a multistage random sampling technique was employed to collect the data from 300 households residing at different locations in Pakistan. This study revealed that people who make life choices to drink filtration plants' water installed by the local government are less likely to contract waterborne diseases. Besides, class circumstances such as the size of the family, education of the family head, and plant water usage are highly correlated to the quality and use of drinking water and, ultimately, to the health-associated outcomes by improving a healthy lifestyle. In contrast, the age of the household head was found to be insignificant in making choices regarding drinking water choices and reducing waterborne illness. The more the education of the family head, the fewer family members found to indulge in practices for using plant water. Thus, infants/children and other people are less likely to contract waterborne incidents in areas equipped with these filtration plants. Moreover, the probability of contracting waterborne illness is higher in males than in females in areas lacking filtration plants. [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.)

This study examines the antecedents/determinants of behavioral intentions toward the utilization of Islamic financial technology for Middle Eastern customers. The study applied structural equation modeling (PLS-SEM). After robust research efforts were invested in the identification of factors, they and were converted into measures, and the results were analyzed. The results demonstrate that the independent variables shown in the UTAUT model have a significant impact on the behavior to adopt Islamic financial technology, which implies that the people are ready to use Islamic financial technology while making online transactions. The work in this study adds to the knowledge regarding the factors affecting behavioral intention to use Islamic fintech, as there is scarcity of studies in this domain, especially in the context of Middle Eastern online customers. Moreover, this study also considers the major categories of online payments. [ABSTRACT FROM AUTHOR]

This study aims at developing econometric models to manage the price risk of Dry and Wet Cocoa beans with the help of ARIMA (Autoregressive Integrated Moving Average) and VAR (Vector Auto Regressive). The monthly price of Cocoa beans is collected for the period starting from April 2009 to March 2020 from the office of CAMPCO Limited, Mangalore, and the ICE Cocoa futures price from the website of investing.com. The augmented dickey fuller test is used to test the stationarity of the series. The ACF and PACF correlograms are used to identify the tentative ARIMA model. Akaike information criterion (AIC) and Schwarz criterion (SBIC), Sigma square, and adjusted R2 are used to decide on the optional AR and MA terms for the models. Durbin–Watson statistics and correlograms of the residuals are used to decide on the model's goodness of fit. Identified optimal models were ARIMA (1, 1, 0) for the Dry Cocoa beans price series and ARIMA (1, 1, 2) for the Wet Cocoa beans price series. The multivariate VAR (1) model found that the US and London Cocoa futures prices traded on the ICE platform will influence the price of Dry Cocoa in India. This study will be helpful to forecast the price of Cocoa beans to manage the price risk, precisely for Cocoa traders, Chocolate manufacturers, Cocoa growers, and the government for planning and decision-making purposes. [ABSTRACT FROM AUTHOR]

This research paper analyses the impact of COVID-19 to investigate the overconfidence bias in 12 cyclical and defensive sectors in pre- and during COVID-19 periods using daily data from 1 January 2015 to 31 December 2020. The results of VAR show that in the pre COVID-19 phase overconfidence bias is more prevalent in all the cyclical sectors; in particular, MEDIA, METAL and REALTY have highly significant coefficients. In the defensive sectors, the VAR outcomes are not as strong as we expected, except for SERVICES. During the COVID-19 period, the investor shifted their focus to COVID-19-related opportunities, leading to a surge in the IT and PHARMA sectors. In both phases, METAL, MEDIA and REALTY exhibit overconfidence-driven stock trading behaviour. ENERGY is the only sector in both the phases that does not witness overconfidence bias. [ABSTRACT FROM AUTHOR]

The purpose of the present study was to explicate the factors determining customers' intention to use budgeting apps since the outbreak of COVID-19 pandemic. A cross-sectional survey in South India was conducted to collect data from 285 FinTech users. The data were analyzed using partial least square regression to estimate path coefficients and the PROCESS macro technique to identify moderation effects. Firstly, app engagement and self-efficacy were found to have a positive effect on the intention to use budgeting apps. Secondly, individuals who use FinTech services less frequently and those who use it to pay for a variety of expenses were found to have a greater effect on usage intentions of customer engagement, perceived trust, and perceived ease of use. Therefore, customization, real-time suggestions, providing tools for data visualization, smart data insights, and artificial intelligence-based recommendations and advice would assist customers in prudence money management. [ABSTRACT FROM AUTHOR]

The study examines the vital connection between stock returns and oil price changes for oil exporting/importing countries separately. We present evidence employing granger causality, impulse response and error variance decomposition based on panel vector autoregression. The results of panel granger causality suggested that after oil price crash owing to covid-19 pandemic, the interdependence between oil and stock price changes increased. Similar results were revealed by impulse response graphs and forecast error variance decomposition. Specifically, in the period marked by the rapid outbreak of the covid-19 pandemic, causality from oil to stocks increased. Although we found that both oil exporting and oil importing countries were affected in a similar way, oil price changes had a larger impact on oil exporting countries. The findings of the present study have implications for investors and fund managers. By incorporating crude oil price in the prediction models, the accuracy of stock returns forecast can be improved. [ABSTRACT FROM AUTHOR]

Customers can choose to buy products online without certain sensory experiences, such as touching, smelling or tasting. Consequently, product reviews are extremely important to implement online marketing strategies. While reviews can influence customers' purchase decisions, how they affect the decisions of potential consumers in the case of a growing emerging economy such as India has hitherto not been studied. Positive and negative reviews affect the way customers understand and interpret product information. This study provides multiple methods to identify the relationship between reviews and customer decisions in the case of tier 1, tier 2 and tier 3 Indian cities. The outcomes in tier 1 cities (n = 1200) reveal that reviews have a positive effect on buying decisions. Our empirical findings suggest that online reviews affect consumer attitudes and can significantly influence e-commerce sales in India. [ABSTRACT FROM AUTHOR]

The trading of natural rubber derivatives in the Indian commodity exchanges was banned several times in the past. Hence, in India, the derivatives on natural rubber are not traded actively and regularly. We have examined the possibility of a forecast model and a cross hedge tool for the natural rubber price by using crude oil futures in India. Results of the Johansen cointegration test proved that there is no cointegration equation in the model; hence, there is no scope to develop long-run models or error correction models. We have developed a vector autoregressive [VAR(2)] model to forecast the rubber price, and we examined the possibility of a cross hedge for natural rubber further by using the Pearson correlation coefficient and Granger causality test. We have extended our research to a structural VAR analysis to examine the effect of crude futures and exchange rate shocks on the natural rubber price. Our results showed that there is a short-term relationship between the crude oil futures price, the exchange rates of the US dollar to the Indian rupee, the Malaysian ringgit to the Indian rupee and the Thai baht to the Indian rupee; and the natural rubber price in India. The effort of policymakers to cause the Indian rupee to appreciate against the Thai baht and Malaysian ringgit may increase the natural rubber price in India. Natural rubber traders, growers and consumers can use crude futures to hedge the price risk. The Indian Rubber Board can suggest the VAR(2) model to predict the short-run price for natural rubber. [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.)

India is the major producer of Areca nut in the world. Volatile demand and price are the major challenges for the Areca nut growers in India. The use of time series models to manage the price risk has become the interest of academicians today. This paper deals with developing an appropriate model to predict the prices of a new variety of Areca nut in Karnataka using monthly price data for the period January 2009 to December 2018. Box Jenkins ARIMA methodology is used to develop the model. Along with ARIMA estimates, log-likelihood, Akaike's information criterion (AIC) and Bayesian (BIC) information criterion statistics are also estimated to decide on the appropriate model. ACF and PACF correlograms for residuals of ARIMA are used to do the diagnostic check of the selected ARIMA model. Appropriate model to forecast the new variety Areca nut price is ARIMA (3, 1, 3). [ABSTRACT FROM AUTHOR]

Agriculture should no longer be isolated because it is such a significant sector in India. Agriculture dominates the economy in Karnataka, India. Farmers that are 18 to 20 years old are actively involved in farming. Farmers, on average, have committed suicide between the ages of 35 and 45 all across India. Non-availability of credit, inferior inputs, and non-availability of extension services are among the causal factors. Amounts owed on bank and private loans have accumulated. They sell all of their gold and take out loans on all of their properties. When their children are grown and the question of their marriage arises at the ages of 35, 40, and 45, they believe there is little chance to address the vital family situation. Farmers are despised in society, have no fixed income or sufficient money, and do not work full-time. Unemployment and underemployment are common, and most people are forced to migrate as a result of starvation, drought, floods, and other natural disasters. Institutional lending and credit have been drastically cut. Farmers are forced to rely on money lenders and their indebtedness forces them to sell their products at a loss. As a result, they are unable to return the debt on time. Farmers approach banks and cannot get a loan from the bank for the mere reason of holding small size of land and hence they approach moneylenders and take money at a higher rate of interest and suffer. The current study is finding out the probable reasons for these gaps in the agricultural financial systems. [ABSTRACT FROM AUTHOR]

The major aim of this empirical study is to estimate the volatility time series returns for a cluster of international stock markets, such as: Switzerland, Austria, China and Hong Kong. The paper demonstrates statistical modeleling in order to capture volatility clusters and changes in long and short term volatility impact. The econometric approch is based on randomly selected daily closing return collected for the main indices of stock markets in Switzerland, Austria, China and Hong Kong for the sample period January 2003 to September 2021. We used various statistical properties to test normalities based on using GARCH family models for estimating financial market volatility. Moreover, the sampled time interval includes two extreme events such as the global financial crisis (GFC) of 2007--2008 and the recent COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

The remarkable growth of the Indian retail landscape over the last decade is reflected in the proliferation of supermarkets, departmental stores and hypermarkets in India. Evolving consumption patterns, raising living standards has sparked a huge demand in the food and grocery retailing. Impulse buying is a time-tested tactic by which retailers grab customer's attention and boost average purchase value. Prior research has deliberated extensively on impulse buying in the store and its determinants. However, little effort has been made to examine the impulse buying behaviour, particularly at the retail checkout. To bridge this gap, we conducted an empirical study in the leading food and grocery modern retail stores in selected Tier I and Tier II cities in the state of Karnataka, India. The data was collected from 385 respondents using a structured questionnaire. The responses were analysed using confirmatory factor analysis and multiple regression. Our study shows that impulse buying at the store checkout area is minimal and sporadic for most of the product categories at the checkout. Impulse buying at the checkout is instigated by factors such as store environment, credit card availability, momentary mood, in-store promotion, offers and discounts and large merchandise. The study has important implications for retail stores by emphasising on the choice of merchandise offered for sale at the checkout area. Further, the investigation reveals that Indian shoppers are health-conscious and cautious about their purchase at the checkout rather than being impulsive. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to formulate a multiple regression model by considering those factors which are positively affecting the growth of Micro, Small and Medium Enterprises (MSMEs) in India. Methodology: The data used in this study are primary in nature which are collected through questionnaire method. The questionnaire involves the nature and size of business and opinion of the owners and managers of 454 MSMEs in Katihar district, a semi-urban area of Bihar in India, regarding the various favourable factors of digital banking on a Likert scale of 1 to 10. Findings: The findings of the study suggest the various favourable factors of digital banking with significant coefficients i.e. Level of Easiness in accepting payments, Level of Easiness in making payments, Level of Easiness in Managing the expenditure of Business, Level of Time Saving, and Level of Check on Misappropriation or Theft of Cash are contributing towards the growth of MSMEs in India. Research Implications: This research will be helpful to the bank managers and policy makers to encourage the MSMEs of semi-urban areas to use digital banking by stressing on only significant favourable factors and also to take necessary steps so that the MSMEs could reap the full benefits of digital banking. The study could give a new insight regarding the extent of contribution of digital banking towards the growth of MSMEs in rural and semi-urban area. [ABSTRACT FROM AUTHOR]

This research study contributes towards understanding the customer's behaviour dynamics. In business analysis, it is very important not to ignore the fact that the interaction between human beings implicitly includes an emotional dimension. The research methodology includes the following: (1) customer purchase pattern prediction methods based on correlation; (2) augmentation of data set by using genetic algorithms; and (3) multiple regression models. The analysis indicates how the hobby of a customer is directly related to the purchase patterns and satisfaction level. We applied business intelligence (BI) techniques and concluded that, by using multiple regression method is possible to evaluate the level of customer satisfaction up to the upper limit of security of about 90%. BI tools could be used to employ significant achievements in specific fields based on open innovations. This paper aims at providing further practical guidance in this innovative research field by using a mix of interdisciplinary methods and techniques. [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 main aim of this research paper is to examine non-performing assets in agricultural loans in India. The agricultural sector is a major pillar of the Indian economy, it represents the primary source of livelihood for about 58% of its population. Agricultural loans are very important in order to achieve technological development in agriculture and implicitly to reduce costs and use sustainable strategies. The data sample was collected from 80 lenders (bank managers) and 1167 borrowers of agriculture credit of Dakshina Kannada district in India. The empirical results are relevant and contribute to a better understanding of the impact of non-performing assets in agricultural loans on a sustainable economic growth in India. [ABSTRACT FROM AUTHOR]

Distress in online classrooms and problematic internet use are two issues that have caused student burnout and affect perceived learning during the COVID-19 pandemic. Given the high pressure placed on students throughout COVID-19, it is critical to understand the influence of problematic internet use (PIU), psychological stress, academic burnout, and resilience on perceived learning (PL). A cross-sectional analytical study was chosen to collect data from 350 learners pursuing undergraduate and postgraduate business/management degrees in Karnataka, India. The data were analyzed using SPSS (Statistical Package for Social Science) and Smart PLS 3. The present study reports a non-significant negative total effect of stress on PL, while there was a significant positive direct effect but a significant indirect negative effect of multiple mediators, namely PIU, burnout, and resilience. In the relationship between stress and PL, burnout has full competitive mediation, and the suppressive effect of burnout and resilience wipes out the beneficial benefit of stress on PL, resulting in reduced PL. As a societal problem, a change in educational policy and prevention strategies for students and organizations (reducing the number of courses, number of exams, and handling parental expectations) would be effective. Emotional intelligence to improve resilience, which assists students in sailing through a current challenging situation and using IT for reducing negative and unexpected emotional outbursts should be encouraged. [ABSTRACT FROM AUTHOR]

This empirical study contributes towards identifying the effect of both fake and real discounts in the Indian marketing environment. A common but unsustainable practice in India is to increase the selling price and then offer a discount on the product. Increasing sales based on fake discount pricing strategy is a primary business development objective in India. The discounts, however, vary across store type and time and are based on product features. The selected databases were collected from the top five Indian e-commerce portals in terms of volume of sales, and from popular brick and motor outlets of tier 2 and tier 3 cities in India. The empirical results indicate that offers based on price in India had an impact of 2.8 times higher than the actual quality of the product. The outcomes suggest that marked price has a significant impact on consumer's behavior. The results also indicate the existence of a strong correlation between trapping fake discounts and purchase by deceiving and persuading customers in India. Research is empirical in nature and respondents have been selected based on purposive sampling. The study is limited to tier 2 and 3 cities of India for 250 days, and the results are applicable to online and offline retail stores. [ABSTRACT FROM AUTHOR]

Taking a sample of seasoned equity offerings (SEOs) by firms listed on Bombay Stock Exchange (BSE) from the year 1992 to 2012, we examine two of the key issues concerning SEOs. First, whether SEOs are underpriced, issued at a price lower than the prevailing market price; and second, whether companies time their issues. Study of 162 SEOs exhibits significant underpricing at 1% significance level leading us to conclude that SEOs in India are significantly underpriced. Analysis of abnormal returns for 114 SEOs taking different event windows surrounding issue opening dates reveals that, except for the −1 to + 1 event window, CAAR for all other event windows are significantly negative. This leads us to conclude that investors in India experience significantly negative abnormal returns surrounding SEO issue opening. Overall, findings of the study reveal that SEOs in India are underpriced and that there exist windows of opportunity for SEOs in India. [ABSTRACT FROM AUTHOR]

This study examines listing day performance of IPOs, book-built and fixed-price IPOs, post-listing aftermarket performance of IPOs, book-built and fixed-price IPOs in the Indian stock market. We examine pricing as well as long run performance of 464 (365 book-built IPOs and 99 fixed-price IPOs) Indian IPOs that went public between 2001 and 2011. The study covers 15 years from the financial year 2001 to 2015. Analysis of the results reveals that compared to fixed-price IPOs, book-built IPOs are underpriced by lesser magnitude. Moreover, book-built IPOs are associated with negative cumulative average abnormal returns (CAARs) up to five years and beyond, the negative CAARs associated with fixed-price IPOs turn positive after one and one-half year and continue to be positive thereafter. [ABSTRACT FROM AUTHOR]