Next Article in Journal
Studies on Charges for Sea Area Utilization Management and Its Effect on the Sustainable Development of Marine Economy in Guangdong Province, China
Next Article in Special Issue
How Exposure to ”Role Model” Projects Can Lead to Decisions for More Sustainable Infrastructure
Previous Article in Journal
Sustaining without Changing: The Metabolic Rift of Certified Organic Farming
Previous Article in Special Issue
VIKOR Technique: A Systematic Review of the State of the Art Literature on Methodologies and Applications
Article Menu

Export Article

Open AccessArticle
Sustainability 2016, 8(2), 117; doi:10.3390/su8020117

An Approach for R&D Partner Selection in Alliances between Large Companies, and Small and Medium Enterprises (SMEs): Application of Bayesian Network and Patent Analysis

Department of Industrial & Systems Engineering, Dongguk University-Seoul, 30, Pildong-ro 1 gil, Jung-gu, Seoul 100-715, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Kannan Govindan
Received: 14 December 2015 / Revised: 13 January 2016 / Accepted: 19 January 2016 / Published: 27 January 2016
(This article belongs to the Special Issue How Better Decision-Making Helps to Improve Sustainability)
View Full-Text   |   Download PDF [1234 KB, uploaded 27 January 2016]   |  

Abstract

The enhanced R&D cooperative efforts between large firms and small and medium-sized enterprises (SMEs) have been emphasized to perform innovation projects and succeed in deploying profitable businesses. In order to promote such win-win alliances, it is necessary to consider the capabilities of large firms and SMEs, respectively. Thus, this paper proposes a new approach of partner selection when a large firm assesses SMEs as potential candidates for R&D collaboration. The first step of the suggested approach is to define the necessary technology for a firm by referring to a structured technology roadmap, which is a useful technique in the partner selection from the perspectives of a large firm. Second, a list of appropriate SME candidates is generated by patent information. Finally, a Bayesian network model is formulated to select an SME as an R&D collaboration partner which fits in the industry and the large firm by utilizing a bibliography with United States patents. This paper applies the proposed approach to the semiconductor industry and selects potential R&D partners for a large firm. This paper will explain how to use the model as a systematic and analytic approach for creating effective partnerships between large firms and SMEs. View Full-Text
Keywords: Bayesian network model; R&D alliances; patent information; collaboration between large and small companies Bayesian network model; R&D alliances; patent information; collaboration between large and small companies
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Lee, K.; Park, I.; Yoon, B. An Approach for R&D Partner Selection in Alliances between Large Companies, and Small and Medium Enterprises (SMEs): Application of Bayesian Network and Patent Analysis. Sustainability 2016, 8, 117.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top