Open Access
Open access
Sustainability, volume 15, issue 22, pages 15885

Discovering Sustainable Business Partnerships through a Deep Learning Approach to Maximize Potential Value

Publication typeJournal Article
Publication date2023-11-13
Journal: Sustainability
scimago Q1
SJR0.672
CiteScore6.8
Impact factor3.3
ISSN20711050
Renewable Energy, Sustainability and the Environment
Building and Construction
Geography, Planning and Development
Management, Monitoring, Policy and Law
Abstract

Discovering sustainable business partnerships is crucial for small and medium-sized companies, where they can realize potential value through operational resources and abilities. Prior studies have mostly focused on predicting and developing new business partners using various machine learning techniques or social network analyses. However, effectively estimating potential benefits from business partnerships is much more valuable to companies. Therefore, this study proposes a method which combines deep learning and network analyses to estimate the potential value of business partnerships for companies. To demonstrate the effectiveness of the proposed method, we expand business partnerships between companies and assess potential value derived from the parenthesis using business transaction data collected from the Republic of Korea. The results suggest that companies can gain more potential value from extended networks when compared to previous ones. Furthermore, potential value results show clear distinctions between industries. Our findings provide evidence that small and medium-sized companies can experience significant benefits by establishing adequate business partnerships.

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