Purpose: The main purpose of the paper is to find the association between the population and the GDP of India and whether the population has any impact on economic development and growth or not. It aims to find out the impact of the increase in population on economic development. Research design, data, and methodology: Gross domestic product, national income, gross saving, per capita income, and capital formation of the last six years have been taken as the major variable to measure economic growth. For the study, data were collected from the fiscal years 2014-15 through 2020-21. Statistical techniques like correlation and regression have been applied to test the hypotheses. The neural network has been applied to find the fitness of the model. Results: In India, there is no significant relationship has been found between GDP and population. It is found that there is no significant impact of population on economic development. Conclusion: The population is not affecting economic growth-; therefore, it can be said that India is overpopulated. More population is the means as well as the end of economic development. The problem of population explosion in India has proved to be a big hindrance to the success of economic planning and development.

Purpose: This study aims to develop a business strategy by comparing consumers' sentiments on social media such as Facebook and Twitter towards financial and non-financial companies in Saudi Arabia, one of the West Asia countries (normally known also as the Middle East region). Research design, data, and methodology: It uses it to leverage consumer communication in business, then predicts future preferences and the potential sustainability of leading firms to develop a corporate strategy and create competitiveness in this region. This study adopts a data-driven approach using social media data from four companies in the financial and non-financial sectors in Saudi Arabia until October 2020 through sentiment analysis. Results: This study discovers meaningful implications for how consumers' feelings and social media usage behavior in the financial industry differ from the non-financial sector in this region. Conclusions: This research provides an extraordinary power to help companies in emerging markets be innovative and proactive in creating competitiveness by acquiring data on customer sentiment or emotions, finally leveraging business communication, and setting up future strategies based on trend-based insights in West Asia.

Purpose: The purpose of this research was to examine the implementation of Customer Relationship Management (CRM) and its impact on customer-centric factors such as customer satisfaction, customer acquisition, customer retention, and customer loyalty within the restaurant sector of Istanbul, Turkey. Research design, data, and methodology: The questionnaire was used to collect information using a descriptive methodology. Using a " stratified sampling method," 520 customer responses were gathered. The questionnaire was written clearly and concisely, and responses were marked on a 5-point Likert scale. Results: Based on the data, it is clear that CRM has a significant positive effect on the customer-centric characteristics that contribute to organizations' successful and sustainable performance in the modern, competitive market. We found that CRM has positive effects on customer satisfaction (β=0.362, p=0.000), customer acquisition (β=0.310, p=0.000), customer retention (β=0.246, p=0.000), and customer loyalty (β=0.292, p=0.000). Conclusion: This paper makes a noteworthy contribution by addressing the gap in knowledge through its focus on CRM and other relevant factors. It will aid marketing managers and customer relationship officers in effectively administering the CRM system to uphold customer loyalty, retention, and acquisition.

Purpose: Tokenization offers several benefits for investment in many countries, including Thailand. It provides increased liquidity by enabling fractional ownership, allowing investors to buy and sell smaller portions of an asset. This opens up investment opportunities to a broader range of individuals who may not have had access to traditional investment avenues. This study aims to explore the factors that influence the utilization of the financial technology environment for tokenization in investment within Thailand. Research design, data, and methodology: A quantitative approach was employed as a research strategy. To collect the data, closed-ended questionnaires were administered. The study's sample consisted of 644 participants, who were conveniently selected through convenience sampling. The data was analyzed using binary regression. Results: The findings indicated that tokenization for investment in Thailand is influenced by multiple factors, including score, gender (specifically male), income, savings, financial assets, digital assets, mass media, social media, books and magazines as well as participation in seminars and meetings. However, the study did not find a significant association between tokenization and education or business. Conclusion: These findings emphasize the need to consider these factors when analyzing investment behavior in Thailand and offer valuable insights for individuals and organizations seeking to understand the dynamics of tokenization in the country.