Abstract

Public Sector Undertakings (PSUs) in India are the entities which have the status of being Government-owned companies. Internationalization of activities is unavoidable these days in order to sustain. There are number of decisions involved when a PSU decides to enter International market. Tackling factors affecting international business are the most crucial decisions which a PSU has to make. Studies have been carried out in the field of International business and PSUs however, there is an absolute dearth of studies regarding awareness about factors affecting international business of service sector based Indian PSUs. This paper analyzes various factors affecting International business for service sector based Indian PSUs. This paper encompasses the boundary of entire International market and effort has been made to cover all continent and prominent regions/ countries. Responses to our questionnaire are collected from employees of service sector based Indian PSUs, employees of International organizations and related experts in the field of international business. This research study is exploratory in nature. The judgemental or purposive sampling method is used in the study. The data collected from various sources is interpreted and analysed with the help of need based statistical techniques. The descriptive analysis of the responses obtained from them has been done in the study. In descriptive analysis the measure of central tendency (mean, median), dispersion (standard deviation), minimum and maximum scores are estimated. Preferential mapping has also been used in the study to know the preferences of the respondents. In this research paper various factors affecting international business for service sector based Indian PSUs, in various international regions e.g. Africa, Middle East, Western Europe, Central & Eastern Europe, Asia, Australia, North America, Latin America & the Caribbean and preferred entry modes, promotional & operational strategies for most important factors have been found out through secondary data information and primary data analysis.

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