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Pregled bibliografske jedinice broj: 772677

Using Probabilistic Logic to Model the Impact of Entrepreneurs’ Social Network Reach on the Survival Rate of Startup Businesses


Lauc, Davor; Grgić, Siniša; Boras, Damir
Using Probabilistic Logic to Model the Impact of Entrepreneurs’ Social Network Reach on the Survival Rate of Startup Businesses // Proceedings of 2nd International Conference on Economics and Social Sciences Bangkok, Thailand / Walsh, John (ur.).
Bangkok, 2014. str. 24-29 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Using Probabilistic Logic to Model the Impact of Entrepreneurs’ Social Network Reach on the Survival Rate of Startup Businesses

Autori
Lauc, Davor ; Grgić, Siniša ; Boras, Damir

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 2nd International Conference on Economics and Social Sciences Bangkok, Thailand / Walsh, John - Bangkok, 2014, 24-29

Skup
2nd International Conference on Economics and Social Sciences

Mjesto i datum
Tajland, 1-2.2.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
SNA; Business Startups; Probabilistic Logic

Sažetak
It is generally widely accepted within business circles that the founders’ ability to network is one of the key factors that underpins the success of a startup. However, this belief is not well researched and is not founded on empirical real- life data. Our research is based on a large-scale longitudinal study of more than 5, 000 Croatian start-up businesses. Data on these businesses’ results and the social networks of their founders were collected from public sources and interviews with entrepreneurs over a period of 10 years. Standard methods of social network analysis were applied to evaluate founders’ egocentric social networks and their position in the larger business social network. The key indicators of the presence of an ego-network that were applied within the research included structural measures (degree/density, efficiency) and compositional measures (number of entrepreneurs in the network).  Key indicators of the founders’ position in the wider business social network included degree, closeness, betweenness and eigenvector centrality. Analysis demonstrated that almost all indicators showed a measurable and statistically significant connection between entrepreneurs’ social network reach and the business results of their companies, especially in terms of survival rate. The dataset were further used to build a predictive model of the probability of start-up business survival based on its founder’s social network reach. The model was developed by machine learning techniques that were based on the Markov Logic Networks framework. Preliminary results indicated that the model demonstrates significant predictive power and accuracy.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija



POVEZANOST RADA


Ustanove
Filozofski fakultet, Zagreb

Autor s matičnim brojem:
Davor Lauc, (219266)
Damir Boras, (4513)