Network size, network density, and tie strength together determine the function of social network and affect the growth of entrepreneurial enterprises. However, how the role of network size, network density, and tie strength on the growth of entrepreneurial enterprises remains inconsistent, as well as the effect of organizational and personal network remains unclear. To solve these relationships, we employ meta-analysis to reach study goals by researching 31 independent samples from 28 references with 5,259 observations. Results have shown two main findings: (1) Both network size and tie strength have a positive and significant impact on the growth of entrepreneurial enterprises, while network density does not correlate with the growth. (2) Organizational network mainly plays a positive effect between network size and growth, while personal network plays a more significant role in the relationship of tie strength and growth than organizational network. These results promote managers to take productive strategies for entrepreneurial enterprises’ growth. Our study provides a meta-analysis to merge different sounds about the relationship of network properties to the growth of entrepreneurial enterprises, emphasizing moderators of organizational and personal networks among these above relationships. Thus, these findings make significant contributions to the field of entrepreneurship.

Social network characteristics and cognitive functioning in ethnically diverse older adults: The role of network size and composition.

Could Technology Entrepreneurs Rely on Crowdfunding (Kickstarter) As a Source of Finance? The Case of the Netherlands

The study of network industries has emerged as an important research theme. In these markets, the customer base is a critical strategic asset for assessing the firm's current and future competitive position. To manage the customer base optimally in these industries, it is crucial to understand the key drivers of customer acquisition and retention. In this study, we integrate strategic and customer management research and provide a framework to understand the direct role of price and the moderating influences of two central characteristics of network markets, namely, network size and market growth, on a firm's ability to acquire and retain customers. The proposed framework is empirically tested in the European mobile communications industry using a longitudinal panel that contains information (quarterly data during 1998 to 2008) for 65 companies in 19 European markets. Our findings offer mixed support for the proposed framework as they reveal that, while network size and market growth do moderate the effect of price on customer acquisition, they only exert a direct influence on customer retention.

The problem of electronic energy transfer in a network of two-level systems coupled to a single trapping site is investigated using a simple Haken-Strobl model with diagonal disorder. The goal is to illustrate how the trapping time T(trap), coherence time T(d), and molecular topology all affect the overall efficiency of a light-harvesting network. Several issues are identified that need to be considered in the design of an optimal energy transfer network, including the dephasing-induced decoupling the trap from the rest of the network, the nonlinear dependence of trapping rate on the coherence time, and the role of network size and connectivity in determining the effect of the coherence time on efficiency. There are two main conclusions from this work. First, there exists an optimum combination of trapping time and coherence time, which will give the most rapid population transfer to the trap. These values are not in general the shortest trapping time and the longest coherence time, as would be expected based on rate equation models and/or simple considerations from previous analytical results derived for the Haken-Strobl model in an infinite system. Second, in the coherent regime, where T(d) is longer than the other relevant timescales, population trapping in a finite system can be suppressed by quantum interference effects, whose magnitude is sensitive to the molecular geometry. Suggestions for possible methods of observing such effects are discussed. These results provide a qualitative framework for quantum coherence and molecular topology into account for the design of covalent light-harvesting networks with high energy transfer efficiencies.

Goode argues that esteem is a curvilinear function of performance, while disesteem stems in part from substandard performance. Disesteem is also greater the more deviant acts one commits and the more disapproved these acts are. Further, performance and deviance may pay off (in esteem and disesteem) at different rates for people of different status. Here we test Goode's predictions in a well-bounded, well-connected subculture with a single central form of activity for which performance quality is clearly measurable. His esteem predictions, which are essential to much of his larger argument, are strongly supported. The results for disesteem lead us to modify his argument. We also investigate the possible role of network size and performance frequency as mechanisms for the translation of performance and deviance into esteem or disesteem.