The effect of networking behaviors on the success of entrepreneurial startups

Abstract

Entrepreneurship is currently a popular topic for research due to the influence it brings to bear on multiple areas of life. Consequently, it is necessary to recognize the behaviors that boost the chances of entrepreneurs and their startups achieving success. This research primarily seeks to investigate the extent to which networking behaviors can influence the success of entrepreneurial startups in Jordan. For this purpose, the authors propose and study six networking behaviors as independent variables, namely cultivating internal contacts, cultivating external contacts, socialization, getting involved in professional activities, taking part in community activities, and raising one's profile within the company. The dependent variable is the success of entrepreneurial startups. A quantitative analysis was conducted by distributing a questionnaire to startup companies in Amman, Jordan. The results confirm that the better entrepreneurs are at practicing these networking behaviors, the more influence they have on the success of their startups. Those behaviors that carry most influence are cultivating internal contacts, cultivating external contacts, and getting involved in professional activities. Finally, the research recommends further study should be carried out to make known the full impact of these six networking behaviors, in addition to encouraging more wholesale adoption of entrepreneurial networking behaviors to increase the probability of success for entrepreneurial startups.

Formal and informal support and the performance of new start-ups: a quantile regression analysis

“…Both the ordinary least squares and quantile regression results suggest that informal support has positive effects, but these effects become weak among relatively high-performing enterprises. These results may be considered similar to previous investigations that found positive effects of the network on the performance of new start-ups, such as Durda and Ključnikov ( 2019 ) and Albourini et al ( 2020 ), or those on the effects of social capital on the performance of new start-ups, such as Liao and Welsch ( 2005 ) and Westlund et al ( 2014 ). Our empirical results are consistent with those previous studies, but their results do not imply that the magnitude of their effects differ according to performance.…”

“… 2 There are several studies of social networks following Granovetter ( 1973 ) on weak ties, e.g., Durda and Ključnikov ( 2019 ) and Albourini et al ( 2020 ), and on social capital, e.g., Liao and Welsch ( 2005 ) and Westlund et al ( 2014 ). There are also several studies that stress the roles of business incubation on new start-ups, e.g., Al-Mubaraki and Busler ( 2013 ) and Scagnelli et al ( 2019 ).…”

The Knowledge, Attitude, and Practice of the Adoption of Green Fashion Innovation

“…They noted that online communities can create a co-production of information. An individual sharing the knowledge that he/she has gained via the community can provide valuable feedback to the producer regarding making a product more user-friendly or improving its quality [46][47][48].…”

Empirical Analysis of Regions, Fund Allocation and Profits for Startups

“…Multiple linear regression and factor analysis are widely used to quantify a startup's profits and success. For example, Albourini et al assume that a startup making profits represents success, and he uses variables such as entrepreneurial enthusiasm to predict the success of startups based on Multiple linear regression [5]. Kimuli and Isaac further adopt a simple linear regression model to study the effect of different fund spending on profit for startups, demonstrating there is a significant positive relationship between those two [6].…”