Dynamics of collaboration among high-growth firms: results from an agent-based policy simulation

Abstract

This study aims to show how supporting new business formation could promote the emergence of new ties in the knowledge network. Stimulating start-ups is conducive to the innovation system and economic development, however, we show how it has additional beneficial effects by the increasing the density of the innovation network. An innovation network is a complex socioeconomic phenomenon, which emerges from the decisions of many heterogeneous agents, that justifies the use of an agent-based model (ABM). We introduce an application of an ABM that is appropriate for simulating network formation among organizations. Agents are placed in the two-dimensional abstract social space where they are moving toward each other to find cooperation partners, following the gravity principle. The attraction is determined by the mass and the distance of agents. These parameters are specified by regression analysis, the result of which shows that the geographical, social, and technological distance has a negative impact on innovation-related cooperation. For the empirical underpinning of the model, we used survey data on the Hungarian high-growth firms’ (known as gazelles) egocentric network that contains information about innovation-purpose cooperation.

The important role of system dynamics investigation on business model, industry and performance management

“…The static business model provides a nondetailed picture (Massa et al, 2017) The methodology of System Dynamic is a method for capturing the dynamic factors of complicated society and organisational systems (Forrester, 1961;Sterman, 2000). The dynamic business model provides a complex picture (Burton and Obel, 1995;Sterman, 2000 To build typologies as a strategy for the coherence between critical enterprise framework factors (Demil and Lecocq, 2010) System dynamic frameworks are produced for a particular managerial problem and constructed by figuring the enterprise system construction to create and convey an acknowledging of behaviour driving processes, also the measurement of the cause and effect interactions to generate a series of equations that placed the preliminaries for simulating feasible system behaviours over time (Warren, 2008 An effective way to analyse the consistency of a given firm (Demil and Lecocq, 2010) To integrate change and ensure performance over time (Demil and Lecocq, 2010;Liu et al, 2022a, b;Varga-Csajk as et al, 2023)…”