Nowadays consumers tend to buy products or services oriented towards a motive or objective making them realize the need for conscious consumption. The motive or objective of buying a product or service for a consumer can be characterized by social, ethical, or environmental concerns and many more. But the major contribution of social, ethical, or environmental concerns of consumer buying cannot be ignored. So, this study was undertaken to understand the parameters of three constructs of environmental conscious consumption, ethical consumption, and socially responsible consumption leading to conscious consumption. Using data from 170 respondents, three dimensions of the study were evaluated and understand conscious consumption. The main objective of the study is to investigate the relationship between three constructs i.e., environmental conscious consumption, ethical consumption, and socially responsible consumption facilitating conscious consumption. Reliability of the data was done by Cronbach alpha and a statistical test of factor analysis was used to determine f1 factors. These factors were further used for creating a linear regression model to understand conscious consumption.

The right strategy about supply chain management is one of the key drivers of any successful business in the manufacturing domain and its importance is growing very fast due to latest trends in the analytical tools and services. The most recent research studies says that the global supply chain analytics value in terms of market size is around USD 3.5 K million in 2018 and is expected to grow up to USD 10K million in 2025 at CAGR around 16% forecasted growth. This is achievable only when we can identify the right opportunities and right platforms. The today's supply chain environment presents lot of challenges to the data scientists in terms of data collection, integration, storing and processing because there are huge and unconnected data sources for each of the processing and the speed at which these data getting generated is also very fast. So, the application of data analytics has very immediate benefit as well as many complexities in the implementation In the current paper, we want to focus on the key analytical applications in supply chain domain including procurement, manufacturing, replenishment and customer demand. We want to explain the statistical approach for very highly impactful supply chain problems. The analytical applications discussed in this paper starting from procurement and deals up to ware house management and also different internal phases in between them.

Financial Analytics changed task based processing of Inspecting, transforming the business problem to business solution through analytical models using machine learning languages. Objective of the paper isto study the application of financial analytics on, thirdly Judge the model efficiency through confusion matrix and Sensitivity analysis and finally to obtain a random forest model for predicting the NPA of selected NBFCs. The analytical model applied is random forest. The outcome of the paper is the accuracy of the model at 97.53% in the prediction of NPAand proved that the defaults are more at every 2nd and 3rd companies. Keywords: Financial Analytics, DuPont, Confusion matrix, Random Forest

In order to better understand working capital management, which includes efficient handling of current assets as well as current liabilities. Efficient management of working capital is a precondition for the success of any kind of firm. The initial study's major goal was to assess the efficiency of working capital management in the automobile industry. The present study deals with the efficiency of working capital management in the selected four-wheeler passenger car manufacturing companies in India. The source of secondary data is the annual report and CMIE Prowess. The database of ten passenger car manufacturing companies in India is drawn at random from the source Statista based on their market share and brand in terms of passenger car manufacturing companies for the 10-year period from 2011–12 to 2020–21. This study employed three parameters to assess the efficiency of working capital management: the performance index of working capital management (PI), the utilisation index of working capital management (UI), and the efficiency index of working capital management (EI). following the model suggested by Bhattacharya (1997). This study's results show most of the companies reviewed did well in terms of working capital performance, current asset usage, and working capital efficiency. Some selected passenger car manufacturers have efficiently managed their working capital and increased sales with existing assets. Companies with a low or negative efficiency index must use current assets efficiently to manage working capital.

The Indian pharmaceutical organizations' revenue generation and profit making solely depends upon the how convincingly they charm doctors to prescribe their organization's products. Every organization's objective is to convince the doctors in private and government hospitals to place trust on its product mix. They strategize and go all out in the fiercely competitive market. The study was intended to evaluate the impact of pharmaceutical marketing mix on the prescribing habits of doctors in India. Research Methodology: The researchers focused on two distinctive sets of doctors, one from the government hospitals and another from the private hospitals. The doctors were randomly selected from 7major government hospitals and 21 private hospitals of north India. There were 240 doctors who were the sample subjects of the study and the collected data was put to computation of mean, standard deviation, one sample ttest, ANOVA, chi-square test etc. through SPSS-20 tool.

The notion of this research is to investigate the impact of gender board composition on dividend payout on non-financial listed firms of Pakistan. For that purpose, the regression analysis is used. The data is collected from the companies' annual report from 2008 to 2018. This study provides the contribution related to the board gender diversity in the existing literature. In this regard, the results reveal positively significant impact of female directors on dividend payments. Furthermore, it has been found that the dividend payment is one of the significant phenomena through which the agency tensions between majority and minority shareholders within the context of closely held family firms could be mitigated and female members have the key role. Key word: Gender composition, Dividend payout, Governance

The study's goal is to analyze the concept of sales promotion using bibliometrics. The study makes an effort to pinpoint the key publications, authors, nations, affiliations and scientific mapping and Content analysis in this area. The enormous amounts of data from numerous papers that were included in this study were analyzed using the Web of Science database. The study used these records as the basis for bibliometric analysis to identify key topics in this area. The VOS viewer programme is then used to display network maps of coauthorship, source citation,co-citation, and keyword analysis. The results of this study show that the "Journal of Business Research," which includes 23 articles, is the most influential journal. Additionally, Burton S. is the most noteworthy author; the United States of America is the most productive country; and the University of Groningen, with 23 papers, is the most prestigious institution. The study's limitations derive from the fact that only the Web of Science database was searched for papers. Future research may take advantage of more databases like Google Scholar and Scopus. Another limitation is that only business and management-related data sources, publications, and review papers are used for analysis, and only English is used as the analytical language. This research adds to the body of already existing knowledge on sales promotion. Using bibliometric approaches, one can obtain a very accurate and true representation of the area. The recommendations could aid in directing the authors' interests in undertaking more research on this topic.

The aim of this study is developed entrepreneurs especially females through financial literacy in developing countries. The quantitative approach was used to collect the sample of 250 respondents who have started their business back in one to three years. Women's business growth barriers have categorized and financial literacy has been identified as the most frequent, while the entrepreneurial capability identified as the key to success and finally the self-efficacy was found as the element that strengthen the relationship between entrepreneur capability and entrepreneur performance. The outcomes of this examination have critical approach suggestions for policymakers in the territories of business in general and particularly locally situated business keeping in view the women enterprise in Pakistan. This study used cross-sectional data for the results elaboration the data was collecting by using non probability sampling technique. This research adds to the rare learning about entrepreneur in developing, growing nation like Pakistan, which can give more bits of knowledge from a less investigated setting. This investigation results can assist the researcher in the area of female entrepreneur.

In this study, a new model on technology-enabled services encounters in hotels has been developed in two phases. In the first phase, an existing model developed by Aguayo et al. (1997) was used as the foundation framework to develop a new model reflecting various service encounters. Interviews of experts from hotel industry were conducted in the second phase which led to further development and validation of the proposed model. The new model on technology-mediated service encounters comprises six major service encounters information & query, booking, check-in, stay, conference room & business centre, and check –out. This proposed model makes a valuable contribution towards existing literature and guides the hotel industry in decision-making and devising of suitable strategies. Keywords: Hotel Industry, Hotel Technology, Modified Model, Service Encounters, Technology-Enabled.

Analysis of the financial status of local governments will assist in shortening the financial problems. Similar studies are found mostly in autonomous local government entities in American and European context. This research seeks to measure the financial status of municipalities in the Gandaki province of Nepal. After promulgation of the new constitution of Nepal in 2015, it makes provision of autonomous three tiers government in order to provide efficient service to the people with balanced development. Using financial data from audited statements from the office of the auditor general, the government of Nepal of 27 sample municipalities this research tries to assess and compare the financial status of municipalities in Gandaki province of Nepal. A comprehensive index of six dimensions viz. short-term solvency, budgetary solvency, service-level solvency, financial flexibility, and financial independence were developed using the empirical literature available in the field on local government's financial status as well as taken into consideration of data availability. The index found is applied to explain the financial status of urban and rural municipalities for the fiscal year 2019/20 and 2020/21. Results from the analysis revealed that there are differences in overall financial status as well as their measuring dimensions. The measured index also entails about operational efficiency of municipalities with areas of improvement in their performance for further sustainability. This paper will contribute to make municipals effective through devising policies by focusing effective service to the citizen and federal and provincial governments will get insight to formulate their policies for equitable distribution of financial resources among the municipalities.

To prevent consumer exploitation in India, which is home to a large number of people living at the bottom of the pyramid, several legislations have been enforced such as consumer helpline number and consumer protection act 2019. However, the cases of harassment of the consumers are rampant and, according to some critiques, underreported. Through this paper, the authors have attempted to analyze the level of awareness for different tools of consumer support mechanism and have tried to establish a link between the level of awareness regarding support mechanism and the rate of exploitation. A two-component relationship model has been analyzed with the support of empirical results gathered from the respondents. The survey data spans over five states of northern and central India. The prevalence of a large number of consumer cases in this region has prompted the authors towards the study of the surveyed area. The analyses based on hypotheses reveal that there is a direct relationship between lack of awareness regarding consumer protection mechanism and the probability of exploitation of the consumer on various parameters mentioned in the model. One major finding has been a tendency of Institutional demotivation in consumer protection agencies in India toward filing a lawsuit by a deceived and exploited consumer. To assist policy formulators as well as academicians to have a comprehensive awareness regarding the framework and awareness level of the consumer support mechanism. Since there is a lack of empirical research in the dimension of the research paper, it attempts to create an appreciated contribution by acting as a catalyst for further extensive research in this domain.

This study explored MSME's knowledge, usage, and preference of different Digital Technologies in business. This study will further reveal the preference of registered small business units between cash and cashless transaction. The researcher adopted the primary data collection method for this study. The owners/managers of the registered small business units were directly questioned. The data is collected from the Karkardooma complex area situated in the national capital of India i.e., Delhi. The information was gathered between December 2020 and February 2021. The findings of the study reveal that awareness among small business units about different digital payments and their advantages is high, but adoption is low. The result of the study indicates that the original TAM model i.e., perceived ease of use and perceived usefulness along with other factors i.e., subjective norm and selfefficiency has a significant impact on the behavioral intention of MSMEs. Further, demonetization and COVID-19 have forced many small businesses to opt for Cashless transactions but still, they prefer cash.

The preferences of young Saudis regarding their use of the internet to make purchases are investigated in this study. There will also be an effort to build and test a theory about how young people shop online. This study examine the moderation effect of online shopping familiarity on consumer motives and online purchase intention's relationship. Convenient sampling techniques is used to collect the data from 315 college students in Saudi Arabia.Structure equation modeling and smartPLS were applied to conduct the analysis of the data.Based on the results it is clear that all independent variables, i.e., attitude, social motive, escapism motive, and value motive, have stronglyrelatedto online purchase intention. Furthermore, results show that the familiarity of online shoping is significantly moderates the relationships between consumer motives and intention to purchase online. Through highlighting their different aims, aspirations, and characteristics, the findings of this article will assist marketers and policymakers in better comprehending and appealing to this young demographic. The study adds to the litarature through relating the generational cohort theory to online purchasing behavior, illuminating this demographic's unique values and characteristics. The finding of this study can be used by the marketers to better tailor their products and services to the preferences of people of this age.