We examine the performance of private and public mutual fund debt schemes in India. We use yearly NAVs of two hundred thirty-four debt schemes, Sensex and Treasury bill yield for the study period from April 2006 to March 2021. We apply time series plot, Quandt likelihood ratio (QLR) test, cumulative sum (CUSUM) test, compounded annual growth rate (CAGR using Geo-mean), performance measures and comparison with Nifty 10 yr. benchmark G-sec Index. The result of time series plot QLR test shows no structural break in the data and no change in parameter and further result show that no significance difference between private and public sector mutual fund debt schemes

The consumer in the present era is not only sensitive towards environment but also shows his concern towards environmental problem and health issues related to consumption of the non-green product. Hence the consumer ensures his consumption activity should not have any detrimental affect towards the environment; consequently the consumer shows favourable attitude towards the green product and strongly support for the consumption of eco-friendly product. This development of the green consumption behaviour is strongly preceded by the attitude and behavioural belief system of the consumer. Earlier cross-sectional studies have shown the attitude of the consumer is the important factor towards buying intention but earlier studies have not clearly stated the importance of social and control belief on the buying intention of the consumer. The thrust of the current study is to explore the relationship of attitude of green consumer towards their perceived subjective norms, perceived consumption effectiveness and buying intention. The data was collected from 428 respondents by adopting multistage random sampling procedures from important cities of Odisha. The collected data were analyzed with PLS-SEM technique.

This empirical study aims to study the seismic shift in the post-COVID travel behaviour of Indian tourists due to demographic variables. Secondly, it analyzes the effects of travel restrictions on tourists' travel plans. This study is based on primary data, a systematic literature review, and experts' opinions on the tourism area. A web-based and offline survey was done using the purposive and snowball sampling techniques. Furthermore, the data were analyzed using descriptive analysis, exploratory factor analysis, an independent t-test, and the analysis of variance technique. The data analysis revealed stunning results, where no significant difference was found in the travellers' behaviours according to their gender and marital status. However, the travellers' age, education, occupation, annual family income, and purpose of travel greatly influence their travel behaviour. It was found that travel restrictions significantly impacted the travel plans of the travellers, and travellers did not want to resume travelling for at least six months. Travellers postponed and sometimes cancelled their travel plans till they could find some safe options for travel. To overcome this situation, travel suppliers can customize their products to tourists' "new" behaviour, focusing on respective demographic variables and the effects of travel restrictions on their travel plans following the age of acceleration. Yet, the small sample size of the study would limit the generalization of this research. Further, this study may be conducted in other industries, such as retail, to identify consumer post-COVID purchasing behaviour changes

As a means of transportation, vehicles have been of immense support to the human civilization since centuries. Like any other products, vehicles in its popular name as automobiles have gone through several changes in different stages of time due to the developments in the industrial environment as well as expectations from the users. Since the beginning of steam powered engine till now consumers of automobiles have been acquainted with the driving or propulsion component of the product. However, due to certain factors like availability of fuels, entry of leading global players etc., consumers across the global have been acquainted with the fossil-fuel based vehicles since long. With the increased number of usage in regard to the fossil-fuel engine vehicles, the emission of polluted gases has reciprocally inflated the level of harmful elements to the human health. Thus the invention and proliferation of battery operated vehicles also known as electric vehicles in the last few decades across the globe has been considered to be a game changer. The common belief in adopting and using the electric vehicles (EVs) may lie in its ability to run without emitting the harmful gases thus pronouncing it as an eco-friendly product. Initially the market of EVs was mostly dominated by startups or local to regional players.

Determining optimal markets specifically for market segmentation is one of the key challenges in marketing. Consumer buying behaviour is influenced by varied factors executed at different periods. Development in Artificial Intelligence (AI) and Machine learning (ML) are set to transform various industries. The capabilities of AI have proved in mirroring human capabilities in performing marketing activities. The AI and ML have contributed immensely to marketing. The specific use cases are customization, segmentation, sales projections, recommender systems, interactive bots, virtual assistants, content development, paid marketing and predictive analytics. Researchers and practitioners are also becoming increasingly interested in AI and ML supported research in the marketing domain. There are minimal studies till date, to address this research gap; the authors have provided an outline of AI and ML research in marketing. The authors have utilized the Scopus citation database to identify relevant articles on the topic within AI and ML in marketing corpus to execute this research. Atotal of 790 research articles from 1960–to September 2020 have been considered for this analysis through the search strings retrieved data from 1984 onwards. The findings are presented using a variety of data such as content coverage, authorship, total yearly publications, country of publication, most influential and prolific authors in terms of citations and documents, keywords used in publication and future research themes for conducting research in marketing utilizing AI and ALtechnologies

The assumption for more advantage altogether faster makes man to examine various ways. However, on occasion, it leaves a bitter experience. The instance of Ramalinga Swamy is an illustration of that. According to Sakshi media, G.Ramlinga Swamy, aged 36, of Khammam who allegedly killed himself by feeding poison at lodge in Suryapet due to loss of Rs.70 lakh over to crypto scammers. “He fell in their trap and start investing in cryptocurrency are initially given good returns. Eventually, fraudsters block the accounts and scoot” (Sakshi, 2021). This incident has awakened us to know the factors influencing people to invest their money in cryptocurrency. A sample of 300 investors who invested in cryptocurrency are selected on the basis of stratified random sampling from Warangal district of Telangana state. The study reveals that the majority of the investors are in the age group of 31-35 and whose occupation is business. Further, multiple correlation technique is used to figure out the most important factors influencing consumers to invest their money in cryptocurrency. This study also reveals the impact of cryptocurrency on Indian society and environment.

Purpose: The main objective of this research is to empirically explore the relationship between HPHRMPs, employee engagement and employee performance in the banking sector in Bangalore, India. The research tries to influence of high performance HRMP on employee engagement in banking sector. Design/Methodology/Approach: Data was collected from 125 bank employees in Bangalore through convenience sampling technique. Collected data analyzed through path analysis. The analysis discovered that the compensation & rewards and training & development of HPHRMP influence employee engagement. The analysis discovered that the compensation & rewards and training & development of HPHRMP influence employee performance. Finally, the path analysis discovered that the employee engagement influences employee performance. Implication: Hence, the authors concluded that the bank management should evaluate the remuneration of employees with the analysis of raising employees' engagement and employees' performance levels. Keywords: High Performance, HRM- Practices, Engagement, Training & Development PaperType:ResearchPaper

The contemporary business world aims at attaining sustainability in market place. For attaining sustainability, business organizations need to strategize on various aspects which enables them to gain competitive advantage at workplace and among the catalogue of such aspects, one of the vital aspects is training of employees. Training is defined as an incessant process which enhances the targeted skills of employees. In order to carry out training process, organizations are needed to explore skills etc. among employees which needs improvement or advancement. Therefore to attain the expected results from employees, training act as a catalyst to enhance employee performance. Therefore, almost all types of organizations, Government or private; national or international train their employees to acquire the requisite skills. Alike other business organizations, jewelry organizations also train their employees. Indeed, jewellery industry is among the labour intensive industry which relies chiefly on employees for profitability and long term sustainability. Thus, the said organizations train their employees. But an insight into the relevant literature has shown that although the jewelry manufacturing industry train their employees with the underlying rationale of enhancing their productivity yet no considerable attempts have been made by the said industry to explore explicit impact of training on employee productivity. Therefore, the present study has aimed to explore impact of training on productivity of employees working in jewelry manufacturing organizations registered with SEEPZ, Mumbai. To serve this purpose, a sample of 501 employees have been taken from three organizations registered under SEEPZ based on convenience based sampling approach.

Purpose: The healthcare industry is an essential part of any country. Retaining healthcare employees and keeping them satisfied is one of the biggest challenges for organisations in general and for human resource management practitioners specifically. Effective human resource management practices like job embeddedness and work engagement assist organisations in retaining employees and keeping them satisfied. This research explores the relationship between Job Embeddedness and Work Engagement and Job Satisfaction and throws a light on need of a new theory on job satisfaction. Design/methodology/approach: We conducted a cross-sectional survey among healthcare practitioners, which include medical and paramedical staff from hospitals in Riyadh, Saudi Arabia., Atotal of 250 questionnaires were distributed and a convenience sampling method was adopted. Correlation and regression analyses were used. Findings: The findings clearly indicated that both Job Embeddedness and Work Engagement have an impact on job satisfaction; however, Job Embeddedness is more correlative to job satisfaction than Work Engagement, meaning that Job Embeddedness has a greater impact on job satisfaction.

This paper attempts to analyze the causes of the plight of Scheduled Castes in general and Scheduled castes women in select districts of India in particular. Developmental measures affect day-to-day life intimately, and the degree of access of an individual/group to basic amenities and services reflects its relative status in society. Therefore, the constitutional commitment to usher in equality in social relations can at once be tested through the distributional aspects of development. This study used an inclusive questionnaire that focused on micro and macro variables such as utilization and availability of financial resources, the competition faced in the industry, raw material and labour problems, sales and marketing of the products, etc. So, to study the situational aspects, a total of 1170 Women Entrepreneurs from Scheduled castes were surveyed in the Indian states of Andhra Pradesh, Kerala, Orissa, and Tamil Nadu. Two districts from each State with high SC populations were selected from the four Indian states. The survey was conducted over a three years' period, from January 2017 through February 2020. Participants were selected based on the Multi-Stage Random Sampling method, and qualitative data were collected from the participants with their consent. Most of the participants are Small, Micro and medium entrepreneurs who are all Women. Chief entrepreneurial practices observed among the participants are Agriculture, Dairy Farms, Poultry, Tailoring and other small business activities such as running small grocery outlets. Data regarding the problems of the entrepreneurs and their opinions regarding possible solutions is collected with the help of a questionnaire.

Purpose of the study:ICTplays a vital role in enhancing the knowledge and skills of the workforce in various sectors of the economy. In a report by UNICEF in 2017, there is a 42% digital gender gap in India which is very high compared to the global average. The proposed research paper aspires to measure the extent of digital literacy and digital access, assess the barriers to female digital literacy and examine the government policies toward digital literacy to empower women. Data and Methodology: The current research is based on a mix of primary and secondary data collected. The primary data is collected from females from the household, organised and unorganised sectors with ages of more than 18 years in the district of Ghaziabad. Asample of 209 females has been collected. The two-way ANOVA is used in the study.