Universities today devote serious effort to attract international students. The purpose of this research is to understand the motivation factors that impact international student choices in selecting Indian higher education as a study-abroad destination. This quantitative study examines the choice criteria of 249 full-time international students from the countries of Asia and Africa. A number of choice factors were identified. Results indicate that international students at Indian universities consider ‘university characteristics’ and ‘influence of social networks’ as the most important motivation factors that determine destination choice. The study findings suggest a value proposition canvas consisting of teaching quality, university rankings, safety and availability of academic courses as its foremost constituents. The paper notes decision-making influences and identifies implications for marketing actions of a developing host country operating in a competitive international student market.
Poverty is one of the biggest challenges to the development of a developing country like India where a major population is living in rural and semi-urban areas. Institutional credit is considered as a powerful INTRODUCTIONInstitutional credit is considered as a powerful tool for alleviating poverty. Microfinance is the supply of loans, savings, and other basic financial services to the poor. As the financial services of Microfinance usually involve small amounts of money -small loans, small savings etc. the term "Microfinance" helps to differentiate these services from those of commercial banks. Microfinance in India has been through two channels of credit delivery to poor and low-income households -Self Help Group Bank Linkage Programme (SBLP) and the Microfinance institutions lending through groups as well as directly to individuals. Both these models which evolved and grew gradually during the 1990s, registered a blistering pace of growth in outreach and portfolios in the next decade. However, the MFI segment has grown over 20 times in the last 5 years from INR 8.97 billion loans outstanding in 2005, the MFIs reached the position of INR 183.44 billion loan outstanding in 2010. The SBLP program comparatively has grown at 30% year on year during the same period. In the last 5 years, the Microfinance operations that were earlier concentrated in the southern and eastern states began to spread to other poorer regions with the large MFIs expanding their operations to these regions as well as with the emergence of local new age institutions.
Objectives: This research aims to sneak into the retailer's perception about that customer segment and plan a product mix accordingly. The focus is on small players in small towns not having deep pockets to synergize the product mix decisions effectively. Methods: The data used in this research paper is from Hatchers, a medium-sized enterprise with zero budget for software for product mix decisions. The data was collected through face-to-face interviews with ten representatives and five supervisors in compliance with the existing documents and existing datasheet obtained from the production department, which was slightly updated to make the final output. The data was for one season, i.e., April to March. The data was analyzed to study pre-Linear Programming and post-Linear Programing profits. Findings: This examination distinguishes the current asset usage level and the benefit of every period of one of the apparel producing organizations, utilizing a linear programming procedure. Actual consumption of resources (product wise) was calculated to evaluate profit post applying Linear Programing to see the wastage and cost. There was a 54% increase post LP compared to the product-wise resource utilization. Similarly, the profit using Linear programming was more than double as wastage and costing were minimum, and revenue was high. Novelty: The article focused on the simple basic principle of linear programming for identifying product mix using Excel(Solver). LINGO. The software solutions become costlier for small firms, whereas Excel is more accessible and cost-efficient. There is a gap in existing literature as previous research has not focused on this aspect for small business houses where adapting software solutions is challenging.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.