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This study investigates how the Global Financial Crisis has affected the weak-form Efficient Market Hypothesis (EMH) on the stock prices of sixteen nations throughout the globe based on a suite of Fourier unit root tests. Considering the smooth structural breaks, we employed the Fourier-based unit root tests to assess the weak-form efficient market hypothesis. We used multiple frequency datasets of global financial stock market indexes that span over 20 years to have comprehensive analysis and robustness in the results. The study is performed from distinct sub-sample periods of the global financial crisis, including the pre-crisis period (2000–2007), the crisis and post-crisis period (2008–2020), and the overall sample period (2000–2020). We observed seven stock markets in the total sample period and twelve in the pre-crisis period, which were weak-form efficient across different frequency data sets. During the crisis and post-crisis period, just four out of sixteen stock market indexes were found to be weak in efficiency based on Fourier unit root tests. Given the superior properties of the Fourier unit root tests, this study reiterates that investors may receive a stream of arbitrage benefits in all markets due to the inefficiency of these countries. We offer investment implications that enable forecasting future stock price changes based on past performance and creating trading methods that produce anomalous profits.

AbstractThe COVID-19 pandemic has completely changed the landscape of organisations, which requires HR professionals to work closely with management to adapt to transformational changes. This research aims to study the impact of COVID-19 on HR practices in Singapore, focusing on remote work and communication. Realism and a deductive approach have been adopted in this Descriptive quantitative research, with the survey as the research strategy to explore remote work experiences and communications during COVID-19 in Singapore. As a cross-section study, the online questionnaire was used to collect responses from 102 employees with different backgrounds from different organisations and industries. It was found that almost half of the employees felt that the impact of COVID-19 on them was moderate, with more than 70% of employees working from home. Employees felt that government advisory was the most important information, and organisations effectively responded to COVID-19 updates. In the post-COVID-19 era, future scholars should consider what organisations and human resource departments must prepare when employees return to the office. Research contributions and implications include recommendations for remote work practices, implementation of partial remote work, good work schedule to improve efficiency and recommendations for communication practices, upgradation of IT systems and skills.

AbstractThe present study investigates the relationship between transformational leadership (TL) and work engagement (WE). After the devastating effects of the recently hit global pandemic, organizations attempted to employ resilient strategies as turnaround strategies to gain the lost businesses. This study was conducted against the backdrop of the new normal wherein transformational leaders played a significant role in encouraging employee empowerment that enhances WE. In a developing nation (India) context, a conceptual model was developed and tested using the data collected from 256 employees working in the information technology (IT) sector in the southern part of India. After checking the psychometric properties using the structural equation modelling (Lisrel package), the data were analyzed using Hayes’s PROCESS macros. The findings support (i) a positive association of TL with WE and employee empowerment, (ii) employee empowerment is a significant predictor of WE, and (iii) employee engagement mediated the relationship between TL and WE. Results also suggest that (i) work experience moderated the relationship between TL and WE, and (ii) gender moderates the relationship between TL and employee empowerment. The implications for leadership theory and practice are discussed.

Abstract The present study aimed to study the entrepreneurial innovation among entities in Singapore. It evaluated the various obstacles that affect entrepreneurial innovation within entities. Further, it has also analysed the various elements that are crucial to overcome the obstacles that affect entrepreneurial innovation within entities. Various factors related to various sources of information fostering innovation activities in an organization were also studied. Difference between the product innovation and process innovation was studied. Furthermore, organizational innovation and marketing innovation were also studied. Lastly, organizational innovation’s degree of observed effect in the organization was also studied. Cross-sectional analysis using realism as epistemological view was undertaken in this study. Deductive research approach along with web-based survey using descriptive research design is the research methods followed in this study. Tools for results’ analysis include descriptive analysis, Q–Q plots, KMO and Bartlett's test, factor analysis and Chi-square tests. The study concluded that enterprises need to work aggressively in the new product development, market opportunities, organization capabilities to ensure that the organizations grow. It is highlighted that process innovation and product innovation have effects on the economic performance of the organization. It does flag that the market innovations are linked with the ways the enterprises change, evolve and develop their fundamental capabilities, which are part of the organizational innovations. Also, the study showed that organizational innovation has greatly helped to improve the quality of the goods or services and reduced costs per unit output. The reduced time to respond to customer or supplier needs and improved employee satisfaction and/or reduced rates of employee turnover is also seen as a significant observed effect of entrepreneurial innovation. Managerial and theoretical implications along with Ideas for future research is also provided.

This study explores the impact of Artificial Intelligence (AI) on Human Resources Management Practices. By focusing on key outcomes such as accuracy, automation, computing power & capacity, real-time experience, personalization, and time-saving & cost saving. The research aims to identity the potential benefits of AI adoption. Data from 274 IT employees in Chennai City is Collected through a well-structured online questionnaire. Using IBM SPSS version 21 software and AMOS version 21 is used for analysis, the study proposes a novel research framework. The findings indicate that variables like Accuracy, Computing Power & Capacity, and Personalization significantly influence Time-Saving & Cost Reduction, while Automation and Real-Time Experience do not. The novel contribution of this study lies in its exploration of the specific outcomes of utilizing AI Technologies in Human Resources Management Practices. By focusing on key variables such as Accuracy, Automation, Computing Power & Capacity, Real-time experience, Personalization, and Time-Saving & Cost Saving, the research provides a comprehensive understanding of the expected outcomes when implementing AI in Human resources Management and the relationship among those outcome variables.

This study aims to analyze the impact of three demographic variables (gender, age, and work experience) on the commitment levels of employees in the Indian thermal power sector. 379 responses were collected through convenience sampling from the executives of NTPC Ltd, a major power utility in India. The facets of organizational commitment (affective commitment, normative commitment, and continuance commitment) were assessed using a standard scale. The quantitative research was done using statistical instruments of one-way ANOVA and independent sample t-test. The findings revealed a positive correlation between the three components of organizational commitment: affective, continuance, and normative. Further, the results highlighted that age plays an essential role in organizational commitment levels; it is found that commitment increases with the age of employees (F = 5.781, p < 0.01). However, gender is not making any variation in organizational commitment (F = –0.502, p < 0.01). Therefore, male and female employees enjoy equal commitment levels toward their work. The study further indicated that work experience significantly influences organizational commitment (F = 4.800, p < 0.01), and it is found to be greater for more experienced employees.

AbstractEnglish is globally recognized as the dominant language for communication, playing a vital role in various fields. With the increasing interconnectivity and automation of the 21st century, the demand for professional English communication skills has risen worldwide. Multimedia learning has become crucial for engaging and motivating learners, aligning with Education 4.0 principles. This study explores the potential of the Education 4.0 tool ELSA (English Language Speech Assistance) app, which utilizes AI and speech recognition to enhance professional English communication skills among Business school students. The research utilized a cross-sectional survey approach with purposive sampling targeting Business school students, with 206 participants. Over a four-week intervention period, the students were guided to explore the ELSA application as per the study plan. After the intervention, the students’ perceptions were gathered and analyzed using the statistical tool SPSS version 21. The study’s novelty lies in combining multimedia learning with the Education 4.0 tool ELSA to enhance Professional English Communication skills. Results indicate that multimedia learning and ELSA significantly improve communication skills, motivation, engagement and learning outcomes. Further research is needed to address limitations and expand these findings.

AbstractThe present study’s objective is to examine the customer satisfaction on cleanliness and other service quality dimensions in Indian Railways. In addition, gender as a moderator in the relationship between various service quality dimensions and passenger satisfaction is studied. The data was collected from 544 passengers in the Tiruchirappalli railway station (Southern Railway Zone). The data was collected between September 2021 and December 2021, soon after the restoration of services after the global pandemic. Data was collected while taking precautions of social distancing and by wearing facemasks. A structured instrument SERVQUAL was used, and the results indicate that passengers were satisfied with the tangibility, assurance, and reliability dimensions of service quality. We performed regressions showing the relationship between service quality variables and passenger satisfaction. We also studied gender as a moderator in the relationship between the five service quality dimensions and passenger satisfaction. The results indicate that gender moderates the relationship between tangibility and customer satisfaction and reliability and passenger satisfaction. The implications for management are discussed.

The objective of this research is to examine the amotivation-turnover intention relationship through self-determination theory (SDT). A double-layered moderated-mediation model was developed to investigate the influence of three components: affective, continuance, and normative commitment on turnover intention. The data collected from 771 faculty members from higher educational institutions (HEI) in southern India were analyzed to test the hypothesized relationships. After testing the psychometric properties of the survey instrument through LISREL software of structural equation modeling, Hayes's PROCESS was used to test the structural model. The results indicate that (i) amotivation was negatively related to normative commitment, (ii) normative commitment was negatively related to turnover intentions, and (iii) normative commitment mediated the relationship between amotivation and turnover intentions. The findings also suggest that affective commitment (first moderator) and continuance commitment (second moderator) interact with amotivation to influence normative commitment. Further, the three-way interaction between normative commitment, intrinsic motivation, and introjected regulation to decrease turnover intention was significant. The double-layered moderated-mediation model is a novel concept that contributes to the literature on commitment and motivation. The theoretical and practical implications are discussed.

Electronic learning (E-L) is a profound transition that is occurring in education as a new learning platform in countries across the globe. COVID-19 pandemic has forced all higher education institutions in Sri Lanka to adopt e-learning to maintain sustainable teaching. This study identified the relationships between the main influencing factors of e-learning usage behaviour and, in turn, sustainability in teaching. Theory of Planned Behaviour (TPB) was used to formulate the research framework and hypotheses. The population of the study was comprised of permanent academics attached to Sri Lankan public universities under the patronage of UGC. The sample size was 357 for the given population size of 5399, and a stratified sampling technique was used to select the sample. The study used a quantitative method under the philosophical assumption of positivism. The researchers have applied Structural Equation Modelling (SEM) to test the path association among factors. The result explores the path relationship between exogenous and mediating variables, mediating to an endogenous variable. The research outcome shows that attitude and perceived behavioural control influence e-learning usage but not the subjective norm. While behavioural intention mediates the relationship between attitude and perceived behavioural control and e-learning usage, the latter mediates the association between behavioural intention and sustainability in teaching. Gender, academic position and computer literacy level moderate the causal relationships of the factors influencing sustainability in teaching. Finally, this study concludes that Attitude, Perceived Behavioural Control, Behavioural Intention and E-learning Usage Behaviour are the factors influencing sustainability in teaching. This study recommends universities develop infrastructures, train staff members and establish an office for sustainability development. Furthermore, it recommends that future researchers do longitudinal studies and adopt decomposed TPB.

Advertisers regularly utilize endorsers as credible sources to conciliate purchaser awareness, customer attitude, and buying objectives. The current paper aims to examine the influence of owner endorsers’ expertise, knowledge, integrity, familiarity, and credibility on consumers’ buying decisions and purchase intentions. The population of this study includes customers of prominent gold and diamond jewelry brands in the southern part of India. The data are subjected to quantitative examination. A comprehensive review was undergone to make a situational analysis. A multi-stage sampling approach was administered to collect the feedback of respondents from the southern states of India. The samples were analyzed using statistical tools like multiple regression and structural equation modeling to find the model fit and relationships among different variables. The outcome of the study highlights that brand endorsers’ expertise, integrity, and credibility play a vital role in conveying trustworthiness and genuineness about the product and its usage. This study also contributed insights into the implication of owners’ endorsement by influencing buying decisions and purchase intentions of jewelry customers.

Abstract The impact of digital technology has altered consumers’ choices for decades, which has fostered large amounts of eCommerce, including in the home furnishing business. Furthermore, due to the Coronavirus disease (COVID-19) pandemic, consumer behaviours have changed, with consumer satisfaction influencing purchasing initiatives and decision-making online. There is insufficient research on online purchasing behaviours in the home furnishing sector in the context of Singapore. The advent of digitisation and the emergence of marketing through digital platforms compared to offline marketing have changed purchasing behaviours regarding home furnishing in Singapore. Research designs and methods, including realism philosophies, deductive approaches, a quantitative research method, a cross-sectional analysis in a descriptive research design and a questionnaire research instrument, were applied to the current study. The findings show a critical trend: consumers prefer an omnichannel approach when purchasing furniture, thereby enhancing competitive costs and personalisation designs and services. Consumers expect advantages both online and offline to maximise the benefits of their purchasing.

Purpose: This study examines the role of gender as a moderator on the relationships between subjective norm on attitude and purchase intention and attitude on purchase intention by using the Theory of Reasoned Action (TRA) among organic food consumers. Methodology: Data is collected using a crowdsourcing platform called Amazon's Mechanical Turk (MTurk). The respondents are organic food consumers (N = 633) from the US. The proposed model is tested using AMOS by covariance-based structural equation modelling and tested for multi-group moderation. Findings: The model is fit. The results of multi-group moderation show that gender moderates the two relationships: subjective norm on attitude and attitude on purchase intention, but not the third one, i.e., subjective norm and attitude. All the direct hypotheses are supported. This research found that males and females differ in purchasing intention toward organic food. Originality: This is the first study in the organic food context that tested subjective norm – attitude, attitude – purchase intention, and subjective norm—attitude using the theory of reasoned action.

This study investigates the effect of inclusive leadership on innovation performance with a mediating role of employee innovation behavior and the moderating role of psychological empowerment (PE). Supervisors and employees of Saudi manufacturing firms are the participants of this study. This study used a quantitative research technique with a cross-sectional approach and a self-administrative survey questionnaire to collect the data. The data were analyzed by using the Smart PLS 3 software. The results depict that inclusive leadership has a significant positive impact on the firm’s innovation performance. Employees’ innovation behavior has a significant mediating effect on the association of inclusive leadership and innovation performance. Findings revealed that PE has an important moderating role in the association of inclusive leadership and innovation performance. The findings of this study contribute to the body of knowledge by finding that inclusive leadership has a significant effect on the firm’s innovative performance and PE is crucial to enhance innovation performance.

The purpose of this study is to investigate the relationship between green human resource management bundle practices and green innovation and their impact on sustainability performance as measured by the Triple Bottom Lines (i.e., environmental, social, and economic performance). It is decided to use a quantitative approach in order to collect data from 335 small- and medium-sized (SMEs) businesses operating in the Kingdom of Saudi Arabia, through a customized survey. Structure equation modeling was applied through smart PLS to analyze the collected data. Results show that green human resource management bundle practices have a positive and significant impact on the sustainable performance of SMEs. Furthermore, results indicate that green innovation has a significant impact on sustainable performance and green innovation partially mediates the relationship between green human resource practices and sustainable performance of SMEs. This study demonstrates that the implementation of GI by firms can be enhanced through the use of GHRM, which, in turn, would enhance the firms’ sustainability. Additionally, this study both confirms and enhances the traditional understanding. The study also depicts that environmental management practices in the human resource and innovation sectors can result in greater sustainability.

Objectives: Intimate Partner Violence (IPV) is a globally recognized societal problem that requires intensive research to raise public awareness. Aim: Accordingly, the purpose of the study is to analyze IPV at the physical, psychological, and social aspects of abuse. Method: The methodology of the study correlates IPV to the personal experiences of notable Indian writer, Meena Kandasamy, according to the autobiographical account of her abusive married life in the award-winning novel When I Hit You, which depicts the horrible treatment of women by their perpetrators within a closed sphere. To substantiate, the selected autobiographical work is compared with Lenore Edna Walker’s prominent Cycle of Violence theory, which best describes why women become victims and also the abuser’s tactics in controlling the women in a violent relationship. Results: The study’s findings suggest that IPV, a serious global problem, requires government intervention and severe legal enforcement to protect women’s lives from the clutches of the abuser.

With the advent of the Internet and other digital technologies, contemporary businesses from all sectors are using social media for communication with consumers to engage them meaningfully with a brand. However, the use of social media for corporate social responsibility (CSR) communication is relatively new to the existing literature. Likewise, the impact of CSR communication through social media (CSR-S) on consumer emotions and behavior is, to date, underexplored. To address this, the present research aims to test the relationship of CSR-S on brand admiration and consumer purchase intention. The study proposes a direct relationship between CSR-S and purchase intention with a mediating effect of brand admiration. The data were collected from the banking consumers of Pakistan through a self-administered questionnaire. The authors distributed 800 questionnaires and received 463 questionnaires useful for data analysis, so the present research study response rate was around 59%. The data were analyzed using the structural equation modeling (SEM) technique in AMOS. The results revealed that CSR-S is positively related to purchase intention (β = 0.233). The results further showed that brand admiration partially mediates this relationship (β = 0.079). The survey respondents confirmed that their bank’s CSR communication helps enhance their purchase likelihood and their feelings of admiration for their bank. These findings will help policymakers at banking institutions better understand the importance of CSR communication on different social media platforms to achieve consumer-related outcomes.

Over the years, private housing prices skyrocketed and the high demand to own private housing remained unmet. Prices influenced the perception of affordability and would also affect the demand for private housing. The urgency to understand the intertwined relationships between housing cost (prices), affordability, and demand especially in the COVID-19 pandemic situation is high. Hence, this research aimed to quantify the relationship or impact of rising prices on the private housing affordability and its demand. The results from this research could conclude that soaring prices lowered the affordability of buyers and delay the purchase of private property shortly. However, the demand to purchase a private property was higher with rising prices suggesting that higher prices indicate more wealth and potential to own a more valuable asset. Affordability is a temporary barrier to own private properties. This implied that the wealth effect from properties likely outweighed that of the consumption or income substitution effect. This understanding of the relative impacts between housing cost, affordability, and demand would contribute significantly to policymaking in providing signals and advice for policymakers to priorities social mobility or investment return from the property market.

Education 4.0 is considered a significant technology for teaching and learning. The present study aims to explore the impact and the importance of Education 4.0 for improving English language learning in the perception of students in India, especially Hyderabad City. Moreover, Education 4.0 has bloomed as an important need to move along with the fast-growing education system of the world. But, it is a fact that many Indian students have complications and difficulties in learning English due to many reasons. The traditional methods of teaching are one of those reasons. Students learn only through the conventional methods, and they may find it boring and not effective. The education and mode of teaching have changed a lot, and it has attained a newer form of using the technology. Moreover, in the current era, where work from home and online teaching has become a new normal throughout the world, the technology used for teaching is inseparable. Hence, the authors are motivated to study the impact of Education 4.0 on improving English learning from Hyderabad, India. The methodology of the study has applied quantitative research. The study has employed pre-tested, close-ended questionnaires and post-assessment to gather data from the respondents to understand students' performance in English language learning after implying Education 4.0. The five-point Likert scale has been used to analyse the collected data and to get mean values of responses. The total number of respondents is 145 students who pursue their engineering degrees in the select region. Among the collected data, most of them were from urban. The data obtained from the respondents proved that there is a direct correlation between the students' perception and implementation of Education 4.0 in learning the English language. This study indicated that the respondents upheld Education 4.0 to improve English language learning in Hyderabad, India.

Introduction Creating a proper career program is the best way to enhance employees’ organizational commitment; it motivates and retains them. This research aims to measure career growth’s influence on turnover intention, mediated by employees’ commitment through self-reported employees’ perceptions. This study identifies the key dimensions of organizational commitment (affective, continuance and normative commitment) that mediate the relationship between career growth and employee turnover intention exploring the indirect effects between career growth and turnover intention. The relationship is examined among the public sector employees in the Sultanate of Oman, a sector currently facing high turnover rates and losing key skilled talent pool. Methodology Data collection was executed through an adopted questionnaire distributed among 500 employees of 38 government units within the Sultanate of Oman. A total of 351 questionnaires were returned, and after the initial screening process, 329 were found to be valid for further analysis. CFA analysis was conducted to identify the factors falling under the three primary constructs of the study. Assessment of the models was explained through Goodness-of-fit Indices. Structural equation modeling, which is most recommended to study the effect of latent variables, was performed using AMOS to evaluate the mediating role of organizational commitment between career growth and employee turnover intention. Findings The results indicated that the potential for career growth is an essential motivating element for public sector employees in the Sultanate of Oman to encourage retention and reduce intention to leave. The findings also confirm that effective and continuous commitment significantly mediates the relationship between career growth and employees’ turnover intention. Contribution and originality value The results generated could help both researchers and those involved in public sector policy-making to understand how employee turnover intention is influenced by career growth and organizational commitment in the public sector in the Sultanate of Oman.

The Covid-19 pandemic has disrupted the world economy and significantly influenced the tourism industry. Millions of people have shared their emotions, views, facts, and circumstances on numerous social media platforms, which has resulted in a massive flow of information. The high-density social media data has drawn many researchers to extract valuable information and understand the user’s emotions during the pandemic time. The research looks at the data collected from the micro-blogging site Twitter for the tourism sector, emphasizing sub-domains hospitality and healthcare. The sentiment of approximately 20,000 tweets have been calculated using Valence Aware Dictionary for Sentiment Reasoning (VADER) model. Furthermore, topic modeling was used to reveal certain hidden themes and determine the narrative and direction of the topics related to tourism healthcare, and hospitality. Topic modeling also helped us to identify inter-cluster similar terms and analyzing the flow of information from a group of a similar opinion. Finally, a cutting-edge deep learning classification model was used with different epoch sizes of the dataset to anticipate and classify the people’s feelings. The deep learning model has been tested with multiple parameters such as training set accuracy, test set accuracy, validation loss, validation accuracy, etc., and resulted in more than a 90% in training set accuracy tourism hospitality and healthcare reported 80.9 and 78.7% respectively on test set accuracy.

The tourism industry has experienced fast and sustainable growth over the years in the economic sector. The data available online on the ever-growing tourism sector must be given importance as it provides crucial economic insights, which can be helpful for consumers and governments. Natural language processing (NLP) techniques have traditionally been used to tackle the issues of structuring of unprocessed data, and the representation of the data in a knowledge-based system. NLP is able to capture the full richness of the text by extracting the entity and relationship from the processed data, which is gathered from various social media platforms, webpages, blogs, and other online sources, while successfully taking into consideration the semantics of the text. With the purpose of detecting connections between tourism and economy, the research aims to present a visual representation of the refined data using knowledge graphs. In this research, the data has been gathered from Twitter using keyword extraction techniques with an emphasis on tourism and economy. The research uses TextBlob to convert the tweets to numeric vector representations and further uses clustering techniques to group similar entities. A cluster-wise knowledge graph has been constructed, which comprises a large number of relationships among various factors, that visualize entities and their relationships connecting tourism and economy.

Debt finance, when considered a source of finance, always leads to financial risk; however, it is also considered a source of increased profitability in the normal business scenario. It has always been challenging to find the correct debt equity combination. In the discussed sample of the telecom industry in the USA, an abnormally high total liability-to-total assets ratio was observed. Thus, it is inclined to investigate the capital structure (CapSt) effect on firms’ profitability. By taking annual data of the telecom industry from 2012 to 2020 in the USA, unbalanced cross-sectional data (panel data) comprising 421 firm-year observations for 72 firms were studied using pooled panel regression, univariate analysis, correlation, and descriptive statistics models. We decided to test the impact of CapSt (Total Liabilities to Total Assets (TLsTAs) and Total Equity to Total Assets (TETAs)) on the profitability (Return on Assets (ROA) and Return on Equity (ROE)) of firms in the telecommunication industry in the USA. The results reveal that the ratio of TLsTAs has a significant impact on ROA, and TETAs has a significant impact on ROA. However, TLsTAs and TETAs have no impact on ROE.

One of the significant issues that the world has faced in recent decades has been the estimation of water quality and location where safe drinking water is available. Due to the unexpected nature of the mode of water contamination, it is not easy to analyze the quality and maintain it. Some machine-learning techniques are used for predicting contaminating factors but there is no technique that can predict the contamination using latitude, longitude, and elevation. The main aim of this paper is to put factors such as water body location and elevation, which are used as inputs, into the different machine-learning techniques that predict the contamination. The results are reviewed and analyzed according to groundwater contamination and the chemical composition of the groundwater location. Non-changeable factors such as latitude, longitude, and elevation are used to predict pH, temperature, turbidity, dissolved oxygen hardness, chlorides, alkalinity, and chemical oxygen demand. Such a study has not been conducted in the past where location-based factors are used to predict the water contamination of any area. This research focuses on creating a relationship between the location base factors affecting the water contamination in a given area.

The prime purpose of this paper is to find out the correlated relations in organizational citizenship behavior, team performance, negative emotions, resource depletion and team member receptivity in higher education institutions in India. The study has been taken on 204 samples with 51 teams from colleges and universities of India, which were gathered by using the questionnaire. The findings have been used for better organizational citizenship behavior, how organizations have to maintain their negative emotions, resource depletion, team members receptivity, team performance to obtain efficient and effective organizational citizenship behavior and team performance in selected higher education institutions in India and considering the variables such as negative emotions, resource depletion, team members receptivity, team performance and organizational citizenship behavior (OCB).

Ageing has always directly impacted the healthcare systems and, more specifically, the eldercare costs, as initiatives related to eldercare need to be addressed beyond the regular healthcare costs. This study aims to examine the general issues of eldercare in the Singapore context, as the population of the country is ageing rapidly. The main objective of the study is to examine the eldercare initiatives of the government and their likely impact on the ageing population. The methodology adopted in this study is Cross-Industry Standard Process for Data Mining (CRISP-DM). Reviews related to the impact of an ageing population on healthcare systems in the context of eldercare initiatives were studied. Analysis methods include correlation and machine learning algorithms, such as Decision Tree, Logistic Regression and Receiver Operating Characteristics curve analysis. Suggestions have been provided for various healthcare and eldercare systems’ initiatives and needs that are required to transform to cope with the ageing population.

The purpose of the current study is to investigate the role of the Islamic financial system in recovery post-COVID-19 and the way Fintech can be utilized to combat the economic reverberations created by COVID-19. The global financial crisis of 2008 has established the credentials of the Islamic financial system as a sustainable financial system which can save the long run interests of the average citizens around the world while adding value to the real economy. The basic ethical tenets available in the Islamic financial system make it more suited and readymade to fight the economic aftershocks of a pandemic like COVID-19. The basic principles of ethical Islamic finance have solid connections to financial stability and corporate social responsibility within the wide-reaching business context. With the emergence of Financial technology (Fintech) it has provided a missing impetus to the Islamic financial system to compete on equal ground with its conventional counterpart and prove its mettle. The study uses discourse analysis along with the content analysis to extract content and draw a conclusion. The findings of the study indicate that COVID-19 pandemic has provided the opportunity for the social and open innovation to grow and finance world have turned to open innovation to provide a speedy, timely, reliable, and sustainable solution to the world. The findings of the study provide significant implications for governments and policy makers in efficient application of Fintech and innovative Islamic financial services to fight the economic consequences of the COVID-19 pandemic.

In the present era, women-owned firms are one of India’s fastest increasing entrepreneurial communities in the form of women entrepreneurs. The objective of the study is to identify the factors that influence women’s entrepreneurial orientation and firms’ performance. The research study discusses the influencing factors and their effect on firms’ performance and satisfaction in this regard. The proposed framework and hypotheses have been tested using data gathered from boutiques, beauty parlors, carpet manufacturers, and retail shops in Karnataka, India. Data analysis was done using univariate, bivariate, and multivariate techniques. In Structural Equation Modeling (SEM), paths were created for evaluating the cause-and-effect relationship between different factors viz., social, psychological, financial, and resource factors and entrepreneurial performance and satisfaction. Seven relationships were significant, while two relationships were insignificant in this structural equation. The key finding of the paper is that all factors have a significant impact on the firm’s performance. The implications of research results for researchers and practitioners are discussed, and suggestions have also been made.