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This study looks at consumer behavior related to dairy products, specifically focusing on preferences for plant-based and organic alternatives and how that affects dairy production. Health, environmental, and ethical considerations are influencing consumer preferences in the dairy industry more and more. Dairy products that are organic are thought to be healthier and more environmentally friendly than their conventional counterparts, while plant-based substitutes are becoming more and more well-liked for moral and perceived health reasons. Changes in consumer preferences have a big impact on market strategies and sustainability initiatives related to dairy farming techniques. Comprehending these dynamics is vital for dairy sector players to proficiently modify production techniques and marketing strategies. Using a mixed-methods approach, this study investigates consumer behavior and motivations, offering insights into the trajectory of dairy product consumption going forward and its effects on the agricultural sector.

The aim of this present study is to ratify the scale of behavioural biases such as overconfidence, herding effect, loss aversion and investment decisions relating to individual investors who invest in Indian stock market. The present study assesses the influence of aforesaid behavioural biases on investment decisions made by individual investors. The study is based on a questionnaire investigation by including the individual investors of Indian stock market residing in Bihar (India) using a convenient sampling technique. 500 hundred questionnaires have been distributed among the individual investors and 428 responses has been taken into consideration for the present study. The collected data were analysed through multiple regression using SPSS. The present study found that the scale used to measure behavioural biases and investment decisions of individual investors were valid and overconfidence biases have a significant influence on investment decisions of individual investors. In contrary, herding effect and loss aversion does not significantly influence the investment decision of individual investor. The present study found that the individual investors are behaviourally biased while making investment decisions. The present study backs to the academia of behavioural aspects and individual investors who invest in Indian stock market. The present study supports in understanding the concept of behavioural biases of individual investors investing in Indian stock market.

Himachal Pradesh occupies sixth position in the country in respect of its forest coverage. Forests are an important resource of the state and it occupies an area of 36,986 sq. km. This accounts for about 66.4% of the total geographical area of the state.
‘Himachal Pradesh State Forest Corporation Ltd.’ being unique in its nature has to perform numerous activities relating to Timber extraction work, Bamboo extraction work, Resin extraction work, and Resin processing and marketing work etc. So, it becomes very essential to study the performance of the Corporation to pin point its strength and weakness.
In this study an attempt has been made to evaluate the performance of Himachal Pradesh State Forest Corporation. In order to make this study intensive and more comprehensive, it covers a period of thirteen years i.e. from 1994-95 to 2006-07. The basic purpose of this study is to evaluate the financial performance of the Corporation. It includes short-term financial performance, long-term financial performance, and profitability performance.
This doctoral level scholastic investigation is being presented in a nutshell. Here only evaluation of Secondary Data towards performance of Himachal Pradesh State Forest Corporation Ltd is being shown.

Learning from Bangladesh’s experience, India has made significant progress in expanding the reach of microfinance institutions to support the economic development of disadvantaged women. To provide women with financial independence, self-respect, and respect for their role in society, the government has attempted to distribute the money through a variety of methods, including self-help groups and bank loans. Reserve Bank of India and NABARD has also implemented various financial management policies to ignore and neglect section of women by considering the importance of financial inclusion in the country’s economy. A review of literature is a critical, in-depth evaluation and integrating the earlier research studies and it is an important step in understanding the research. In this regard, various secondary sources are reviewed such as theses, books, research articles, and abstracts, etc. The main objective of the study is to analyze the influence of financial inclusion on women’s empowerment. The sampling frame is the rural and urban areas in Nellore district which is comprised of 5 revenue divisions and 47 mandals. The calculated sample size is 384. Hence this study has rounded off the sample size to a higher number considering 400 as the sample size of the study. Quota sampling has been adopted to collect the necessary data. Both primary and secondary data have been collected for the present study. The study has designed a structured questionnaire for collecting the perspectives and opinions of women that will be subjected to statistical analysis. The collected data was tested through quantitative metrics to give a scientific touch to the data like the Simple Percentage method, Factor Analysis, Weighted Mean, Cronbach’s Alpha, Correlation, Regression, ANOVA, and t-test. The correlation coefficient values between financial inclusion and Economic Empowerment, Social Empowerment and Political Empowerment are +0120, +0.118 and +0.192. It shows a significant positive relationship between financial inclusion with Economic Empowerment, Social Empowerment and Political Empowerment.  Hence, the alternative hypothesis is accepted.

The rapid advancement of technology has brought forth new opportunities and challenges in the realm of fraud detection. Traditional methods are increasingly inadequate against sophisticated modern fraudulent activities. This research paper delves into the integration of Artificial Intelligence (AI) and blockchain technology to enhance fraud detection mechanisms. Leveraging the predictive capabilities of AI and the immutable nature of blockchain, we propose a robust framework for identifying and preventing fraud. Case studies demonstrating successful implementations in various industries are included to illustrate the effectiveness of this integrated approach. Our findings suggest that the synergy between AI and blockchain significantly reduces fraudulent activities, enhances data security, and fosters increased trust among stakeholders.