This study aims at evaluating the impact of network formation variables and found to have positive impact on the economic performance and growth of the enterprises. The calucation of the weighted scores of networking statements brought some affirmative results to influence the performance of the enterprises. Through multiple regression and logistic regression models it is identified that network formation variables like service receiving status, consultation of the family, other business dummy and attendance in fair have some significant positive impact both on the growth and performance of the enterprises. In addition to above variables, from the set of enterprise characteristics natural logarithm of the market value of total assets and from the entrepreneurs’ characteristics set of variables, schooling year and squared value of the experience have been found to have significant positive impact. Finally, it is concluded in the study that to enhance the performance and growth of the enterprises, government and policy rlated organizations need to consider important variables that have positive impact in supplying the entrepreneurial resources especially, developing the net-working relationship.
Defining Networks and Its Importance
Typology of Network for the Small Enterprises
Selection of Variables and Measuring the Networking Relationships
Measuring the Impact of Network Formation on Enterprise Performance through Economic Success Index Score
Use of Multiple Regression Model
The Impact of Network formation variables upon Entrepreneurial Performance: Results of Multiple Regression Analyses
The Impact of Network formation variables on Entrepreneurial Growth: Results of Logistic Regression and Analyses