This study is an attempt to understand the vulnerability experienced by salaried class employees due to salary cuts and their impact on consumption patterns and what are the various coping mechanisms adopted by the individuals to maintain their state of well-being. We adopted the qualitative research method and conducted phenomenological interviews of employees during the lockdown situation. The purposive sampling method was used to select the study participants. Atotal of 17 interviews were conducted which provided the basis for the creation of the themes. The study discussed the way of resolving the vulnerabilities and coping strategies used to maintain wellbeing

Women entrepreneurs are making large strides, and many people are recognizing this. As the importance of women entrepreneurs in economic development becomes more prominent, many steps are being taken to promote them. Women need to be educated with entrepreneurial skills and traits in order to meet evolving trends.The paper focuses on analyzing the motivation factors that women in Rajasthan state have when they make the decision to start their own business. It attempts to find out what sort of motivations the women in the study have and what barriers they need to overcome. To do this, we conducted a survey among 385 respondents located in Rajasthan and discovered that most of them were intrigued by starting their own business venture.The government should take this into account when working to promote equality and empowerment among women

Businesses have been on the rise in current decades as an outcome of digital progressions. The promotion has achieved a phase in its evolution where it is essential to modify to digitalization. While it seems to be a boost for marketing, every AI-based computerised programs and platforms reduce the burden of traditional advertising and personalization operations. In many cases, the systems used for online marketing include algorithms for determining the optimum combinations, while in others, businesses take the initiative to build and deploy unique methods in-house. The authors' goal is to summarize the prevailing status of AI in marketing efforts and facilitate implementations of a smart marketing approach to increase a site's exposure using keywords. This article also focuses on the various benefits of AI in Digital Marketing. Along with all these, the author discussed how Artificial Intelligence is used in today's digital marketing scenario to increase the productivity of any company.

Looking to the present scenario of VUCA world, i.e. volatile, uncertain, complex and ambiguous world, where there is no certainty in salary income and job prospects, one has to consider the planning of personal finance to improve the economic condition of oneself and that is why it needs to understand the performance of the several investment avenues for the wealth management practices. It is observed that, traditionally preferred investment avenues in India like property, gold and bank FDs are not appearing to be as lucrative as before. Hence an attempt is made here to understand the performance of the systematic Investment plan and its return which can be derived by the potential investor. Therefore, it is required to determine the growth and development in the Indian context and selected funds under present study.

As a strong displaying approach, neural networks have been broadly utilized in finance and financial forecasting. Scientific and fair tradingtype open-end index fund (ETF) option pricing is favorable to maximizing the risk hedging function of the ETF, but it is also a sophisticated modelling procedure that necessitates a thorough understanding of market laws and economic importance. Based on China SSE 50 ETF, Harvest CSI 300 ETF, and high-frequency option data of 300ETF from Berry, this paper proposes another hybrid modelling method that consolidates the settled long-short-term memory neural network model (NLSTM) with the Heston model to acknowledge dynamic rectification of ETF choice price deviations. The research results show that the volatility characteristics of different types of ETF option prices are significantly different. Whether it is based on the BS pricing model or the Heston pricing model, it is difficult to accurately describe the complex changes in ETF option prices. By combining the NLSTM neural network model with the Heston model, it can effectively capture the dynamic changes of different types of ETF options, thereby improving the accuracy of ETF option pricing.

The efficiency of an organisation should be used to evaluate its performance. This is especially true in the case of State Road Transport Undertakings (SRTUs). SRTUs are accountable to the public for how much of the money they use from the public exchequer. The study discusses the efficiency of two SRTUs in India, in particular, Delhi Transport Corporation (DTC) and Bangalore Metropolitan Transport Corporation (BMTC). Every year, DTC makes headlines for massive financial losses, whereas BMTC performs reasonably well. The study is based on secondary data from various records and reports. Selected variables concerning the efficiency of SRTUs were identified to carry out the analysis. When the results were compared, it was discovered that the DTC has a lot of room to improve its efficiency by making the best use of its resources.

Purpose: The purpose of this study is to investigate the perspective of Graduate and Post-graduate students of the university towards entrepreneurship as a career path. Design/Methodology: Data were gathered from a sample of 350 Graduate & Post-graduate students from technical universities using a survey-based methodology. In this study, single cross-sectional descriptive research design was performed. Findings: University students are more likely to be drawn to entrepreneurship if they are more mature and have more work experience. Graduate & postgraduate students confront a number of challenges that could thwart their entrepreneurial tendency, including a lack of funding, a fear of failure, and a lack of social networking. At the same time they get certain type of facilities which influence them to pursue career in entrepreneurship. In this study, Four impediments to entrepreneurship (Perceived behavioral control, fear of failure, lack of resources, lack of social networking) were seen by respondents, and their propensity for entrepreneurship was evaluated. Limitations: Since this study solely included technical university students, its conclusions cannot be applied to non-technical university students and non-students populations. The quantitative method used was unable to unearth comprehensive data on the facilitators & different barriers.

Tipping is associated with restaurant service and part of the server's planned income. Tipping is voluntary and consumers do not all tip the same. Technological advances and environmental factors like the pandemic continue to change restaurant dining. This preliminary study looks at consumer attitudes toward restaurant tipping in general. Tipping attitudes were measured with attitude toward the brand scales. The participants were asked their attitudes and tipping behavior for both server ordering and self-ordering food at moderately priced restaurants. Study results showed participants tipped significantly differently when self-ordering compared to ordering with a server. Consumers who felt very strongly about tipping when ordering from a server tipped 20% or more while the majority did not feel strongly about tipping when selfordering and did not tip. Attitude toward tipping could be a predictor of tipping behavior.

This bibliometric study aims to understand the academic developments in Financial Technology (Fintech) based innovations. The technological disruption post-pandemic era has propelled researchers to mull over the disruptions caused by fintech firms. Disruptive Fintech innovations and their impact on the Banking industry are one of the grand challenges to be contemplated by researchers. Bibliometric tools and techniques as a methodology have been adopted to delve deeper into fintech innovations. Web of Science database revealed 211 documents based on the keyword search for2017 to 2022. After applying inclusion criteria like Web of Science Categories Business, Management, Economics, and Business Finance, total of 124articles were selected as the final sample to review the fintech innovations. The Bibliometrix package of r (programming language) has been used to process the data. The bibliometric study revealed six themes (1) Innovation, (2) Impact, (3) Adoption, (4) Management, (5) Firms, and (6) Strategy; as potential areas for further exploration. One of the theoretical groundings of fintech innovation is disruptive innovation. The study provides input to policymakers, working professionals and academicians.

The ethical climate concept has emerged as an influential paradigm in the 1990s, following the study of business ethics centered on corporate scandals. Extensive studies and reviews have been fueled by thirty years of knowledge accumulation. However, few bibliometric studies are conducted, and none focus on the knowledge base.Using bibliometric analyses, this study aims to investigate knowledge base for ethical climate from 1988 to 2022.Authors, journals, and documents were initially examined in terms of production, citation, and co-citation analyses using an integrated thematic approach.Next, the conceptual patterns through co-occurrence analyses and the structure of international collaboration were investigated. Bibliometric analyses show that the rapidly growing body of literature in the 2000s has shifted its focus to areas like sales and marketing and, particularly, the nursing environment.The study provides readers with a roadmap and recommendations for further study.

Purpose: This study focuses on the analysis and visualization of B2B branding & industrial branding articles using bibliometric analysis over a period of 28 years ranging from 1993-2021. Design/methodology/approach- The data were collected using the most popular and scientific database – “Scopus”. With the help of the advanced search feature in the database, data from published articles of the previous 28 years were extracted. An aggregate of 1811 research articles was analysed from 2385 total articles explored. Bibliometric applications and indicators like VOS viewer and MS excel program were used to do the analysis. Findings- The analysis depicts the process of publication (R2=0.74) was ascending. Among the most cited papers, the dominance of developed countries has been analysed and the scope of improvement for developing countries is observed for future studies and research. The USA leads the charts as the nation with the largest international publications and highest citations. Industrial Marketing Management has accumulated the most articles and citations on B2B branding and industrial branding research over the past 28 years. According to keyword analysis, the most frequent keywords in the study were grouped into three main categories.

The present study estimates the impact of economic variables influencing the profitability of 37 Indian banks from 2004–2005 to 2019–2020 using a random-effects model and GMM estimator. The estimation result shows that bank-specific determinants, viz. capital adequacy, net interest income to total assets, diversification, and employee productivity have influenced Indian banks' profitability positively, whereas, higher amount of operating expenses and poor asset quality eroded profitability during the study period. Market competition is evident to be significant determinant of profitability for the Indian banking industry, whereas, bank merger has an insignificant positive impact.The banking regulators could not anticipate inflation accurately and consequently, failed to adjust the interest rate and bank managers also failed to curtail expenses during the inflationary period. The fluctuation of the exchange rate reduced banks' profitability significantly during the study period.