Collaboration exploitation and exploration: does a proactive search strategy matter?

被引:3
|
作者
Lin, Jun-You [1 ]
机构
[1] Natl Open Univ, Dept Informat & Management, 172 ChungCheng Rd, New Taipei 247, Taiwan
关键词
University-industry collaboration; Collaboration exploitation; Collaboration exploration; Ambidexterity balance; Search strategy; University innovation; ORGANIZATIONAL AMBIDEXTERITY; KNOWLEDGE SPILLOVERS; COUNT DATA; TECHNOLOGICAL-INNOVATION; DYNAMIC CAPABILITIES; PROCESS MANAGEMENT; EMPIRICAL-TEST; FIRMS; PERFORMANCE; INDUSTRY;
D O I
10.1007/s11192-021-04136-1
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Although one school of thought in the university-industry interactive literature is that universities learn from prior collaboration, we posit that any potential knowledge learning effects depend on the type of collaboration. Our empirical findings confirm that the use of collaboration exploitation, exploration and balancing strategy of ambidexterity all improve a university's innovation. We also posit that proactive searching allows universities to leverage their collaboration exploitation and exploration. In contrast, when universities combine ambidexterity with a proactive search strategy, the negative consequences for university innovation become more pronounced. To test this integrative model of U-I collaboration, we leverage a unique and detailed longitudinal dataset on the 110 top U.S. research universities and the top 200 R&D performing firms to account for a large share of research papers published in the U.S. in the last 19 years. Poisson and negative binomial regression models are used to test the hypotheses in panel data of 2090 university-year cases. We find support for our theoretical model.
引用
收藏
页码:8295 / 8329
页数:35
相关论文
共 50 条
  • [31] DOES CAPITALIZATION MATTER IN WEB SEARCH?
    Cucerzan, Silviu
    KDIR 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND INFORMATION RETRIEVAL, 2010, : 302 - 306
  • [32] Does Proactive Eco-Innovation Matter in the Energy Sector?
    Abu Toha, Md
    Johl, Satirenjit Kaur
    PROCEEDINGS OF THE 17TH EUROPEAN CONFERENCE ON MANAGEMENT, LEADERSHIP AND GOVERNANCE (ECMLG 2021), 2021, : 420 - 428
  • [33] CSDSE: Apply Cooperative Search to Solve the Exploration-Exploitation Dilemma of Design Space Exploration
    Feng, Kaijie
    Fan, Xiaoya
    An, Jianfeng
    Wang, Haoyang
    Li, Chuxi
    ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, ICA3PP 2023, PT IV, 2024, 14490 : 1 - 23
  • [34] Exploration - exploitation trade-off features a saltatory search behaviour
    Volchenkov, Dimitri
    Helbach, Jonathan
    Tscherepanow, Marko
    Kuehnel, Sina
    JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2013, 10 (85)
  • [35] The Central Executive as a Search Process Priming Exploration and Exploitation Across Domains
    Hills, Thomas T.
    Todd, Peter M.
    Goldstone, Robert L.
    JOURNAL OF EXPERIMENTAL PSYCHOLOGY-GENERAL, 2010, 139 (04) : 590 - 609
  • [36] An Exploration and Exploitation Search Control Scheme for Permutation Flow Shop Problem
    Chen, Ruey-Maw
    Wang, Ching-Te
    Hsu, Chao-Chin
    2012 7TH INTERNATIONAL CONFERENCE ON COMPUTING AND CONVERGENCE TECHNOLOGY (ICCCT2012), 2012, : 1298 - 1303
  • [37] Balanced Exploration and Exploitation Model search for efficient epipolar geometry estimation
    Goshen, Liran
    Shimshoni, Ilan
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2008, 30 (07) : 1230 - 1242
  • [38] Exploratory exploitation and exploitative exploration: The phenomenology of play and the computational dynamics of search
    Moldoveanu, Mihnea
    BEHAVIORAL AND BRAIN SCIENCES, 2024, 47
  • [39] Optimal Contraction Theorem for Exploration-Exploitation Tradeoff in Search and Optimization
    Chen, Jie
    Xin, Bin
    Peng, Zhihong
    Dou, Lihua
    Zhang, Juan
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2009, 39 (03): : 680 - 691
  • [40] Best-First Width Search: Exploration and Exploitation in Classical Planning
    Lipovetzky, Nir
    Geffner, Hector
    THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2017, : 3590 - 3596