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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">PBES</journal-id><journal-title-group><journal-title>Proceedings of Business and Economic Studies</journal-title></journal-title-group><issn>2209-2641</issn><eissn>2209-265X</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/pbes.v7i1.6195</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on Partner Selection in Enterprise Innovation Ecosystem</title><url>https://artdesignp.com/journal/PBES/7/1/10.26689/pbes.v7i1.6195</url><author>LuoShuang,GaoJunxi,DengWeiwei</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>7</volume><issue>1</issue><history><date date-type="pub"><published-time>2024-02-25</published-time></date></history><abstract>In the face of fierce market competition, enterprises must ensure the competitiveness of their products or services through technological innovation. However, the complexity of technology often surpasses the capabilities of individual enterprises, leading them to deepen cooperation with other organizations. The entities within the enterprise innovation ecosystem depend on each other, collaborate closely, and rely on core enterprises to integrate resources, thereby creating system value and enhancing competitiveness. The purpose of this paper is to explore the process of selecting appropriate ecosystem partners. It begins by providing an overview of relevant concepts, characteristics, selection factors, and methods. Subsequently, it analyzes the roles, resources, and synergy evolution of the entities within the ecosystem. An evaluation system encompassing operation, core, synergy, and development capability is then established. This system comprises 16 indicators, including organization scale and reputation, and is accompanied by a hierarchical evaluation model. Finally, the validity of the evaluation system is confirmed through empirical analysis, utilizing the Analytic Hierarchy Process (AHP) and the fuzzy comprehensive evaluation method.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Liu Y, Gao Y, Shen C, 2020, Research on the Impact of Technical Knowledge Base Diversity on the Selection of Cooperative Innovation Partners of Enterprises. Technological Economy, 39(9): 1–10.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Lo HW, Liou JJH, Tzeng GH, 2019, Comments on “Sustainable Recycling Partner Selection Using Fuzzy DEMATEL-AEW-FVIKOR: A Case Study in Small-and-Medium Enterprises.” Journal of Cleaner Production, 228: 1011–1012.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Chen W, Wang X, Li J, et al., 2020, Dynamic Selection Model of Collaborative Innovation Partners in Industry-University-Research. Journal of Harbin Engineering University, 41(11): 1727–1734.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Han G, Chen W, Feng Z, 2014, Selection of Enterprise’s Cooperative Innovation Partners – Based on PSO Fixed Weight and Ameliorated TOPSIS Method. Science Research Management, 35(2): 119–126.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Zhang Y, Peng A, Wang T, et al., 2021, Dynamic Alliance Partner Selection Based on Fuzzy-QFD. Journal of Jiangsu Ocean University (Natural Science Edition), 30(1): 90–94.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Lu Z, Shen K, 2016, Research on Supply Chain Partner Selection Based on Particle Swarm Ant Colony Algorithm. Computer Engineering and Science, 38(5): 946–953.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
