篩選產學合作夥伴及協商資源配置之機制

A Mechanism to Screen Industry-University Partners and Allocate Negotiation Resource

蕭堯仁(Yau-Ren Shiau)；陳幼蘭(Yu-Lan Chen)

產學合作 ； 篩選機制 ； 協商資源配置 ； Industry-University Collaboration ； Screening Mechanism ； Allocate Negotiation Resource

科技管理學刊

24卷2期（2019 / 06 / 01）

31 - 59

繁體中文

當今產業趨勢面臨經濟化與資訊智慧化，產品生命週期快速更迭，創新科研成為企業獨佔鰲頭的關鍵因素。除本身穩健之內部力量，企業亦可藉助外界科研力量強化自我競爭力並加速產業升級，而產學合作為獲取知識與技術的良好渠道。然而，需要一套有效媒合模式，快速引領產學雙方達成協議，進而開始實質合作。本研究藉由TOPSIS進行協議效益分析解決排序問題；再經由投影分析求出每一單位所需改善的項目及目標，進而以虛擬乘數分析找出優先改善的項目，以讓改善幅度最大化，進而有效提升其效率。最後，從產學合作候選夥伴篩選出可迅速達成協議之優先順序及協商資源配置，進行最佳化AMPL系統求解，縮短雙方協議時程，在有限的資源下，以達效益最佳化。本研究藉由模擬30間不同規模之企業為例，透過該機制可從眾多產學合作候選夥伴中，篩選出可迅速達成協議之優先順序。同時促使在協議前，就能掌握企業需求及前期考量因素，聚焦協議項目與對象，縮短協議時程，加速並提升協議成效，創造產學雙贏。

The trend of modern industry is facing the wisdom and wisdom of information, product life cycle rapid change, innovation and research become the key factor in the enterprise leader. In addition to its own internal strength of internal strength, enterprises can also use external scientific research to enhance self-competitiveness to speed up industrial upgrading, and industry-academia cooperation for the acquisition of knowledge and technology a good channel. However, the need for a set of effective media model, quickly lead the industry and the two sides reached an agreement, and then began to substantive cooperation, including systematic analysis and recording tools. In this study uses the TOPSIS performs protocol benefit analysis to solve the sorting problem; then, through projection analysis, finds the improvement items and targets for each unit, and then uses virtual multiplier analysis to find out the priority improvement items to maximize the improvement. In order to effectively improve its efficiency. Finally, from the industry-university cooperation candidate partners, the priority order and allocate negotiation resource can be quickly determined, the AMPL system can be optimized, the time schedule of the two parties can be shortened, and the benefits can be optimized under limited resources. This study takes the example of simulating 30 enterprises of different scales, for example, through this mechanism, the priority of quick agreement can be selected from many industry and education cooperation candidates. At the same time, it is possible to grasp the needs of enterprises and the factors of early consideration before the agreement, focus on the agreement projects and targets, shorten the agreement schedule, accelerate and improve the effectiveness of the agreement, and create a win-win society.

1. Liou, F. M.(2018).Trade-off or complement? Choices along ambidextrous paths from resource allocation through performance.Corporate Management Review,38(2),1-22.
   連結：
2. Shiau, Y. R.,Wang, S. Y.,Chien, C. K.(2020).Lean Assessment Mechanism of Supplier based on Multiple-to-multiple Benchmarking Learning.Journal of Management & Systems,27(2),123-144.
   連結：
3. 溫肇東,樊學良(2013)。日本產學合作之理論研究及政策實踐歷程。管理與系統，20(2)，201-226。
   連結：
4. Alshehri, A.,Gutub, S.,Ebrahim, M.,Shafeek, H.,Soliman, M.,Abdel-Aziz, M.H.(2016).Integration between industry and university: Case study, Faculty of Engineering at Rabigh, Saudi Arabia.Education for Chemical Engineers,14,24-34.
5. Ambos, T. C.,Mäkelä, K.,Birkinshaw, J.,D'Este, P.(2008).When Does University Research Get Commercialized? Creating Ambidexterity in Research Institutions.J. Manag. Stud.,45(8),1424-1447.
6. Ankrah, S.,Tabbaa, O. A.(2015).Universities–industry collaboration: A systematic review.Scandinavian Journal of Management,31(3),387-408.
7. Bektaşa, C.,Tayauovab, G.(2014).A Model Suggestion for Improving the Efficiency of Higher Education: University–Industry Cooperation.Procedia - Social and Behavioral Sciences,116(21),2270-2274.
8. Bian, W.,Ding, S.,Xue, Y.(2017).Combining weighted linear project analysis with orientation diffusion for fingerprint orientation field reconstruction.Information Sciences,396,55-71.
9. Bjerregaard, T.(2010).Industry and academia in convergence: micro-institutional dimensions of R&D collaboration.Technovation,30(2),100-108.
10. Bruneel, J.,D'Este, P.,Salter, A.(2010).Investigating the factors that diminish the barriers to university–industry collaboration.Res. Policy,39(7),858-868.
11. Cai, T.,Freiheit, T.(2014).Resource Allocation for Lean Product Development Using a Value Creation Cell Model.Journal of Mechanical Design,136(10),101701.
12. Çetin, B.,Gulzhanat, T.(2014).A Model Suggestion for Improving the Efficiency of Higher Education: University–Industry Cooperation.Procedia - Social and Behavioral Sciences,116,2270-2274.
13. Delgado, A.,Romero, I.(2016).Environmental conflict analysis using an integrated grey clustering and entropy-weight method: A case study of a mining project in Peru.Environmental Modelling & Software,77,108-121.
14. Deng, H.,Yeh, C. H.,Willis, R. J.(2000).Inter-company comparison using modified TOPSIS with objective weights.Computers & Operations Research,27(10),963-973.
15. D'Este, P.,Guy, F.,Iammarino, S.(2013).Shaping the formation of university–industry research collaborations: what type of proximity does really matter?.J. Econ. Geogr.,13(4),537-558.
16. Fu, L.(2013).Research on the Technology Enterprise Performance Evaluation Index System.Ibusiness,5(03),6.
17. Guardiola, J.,Picazo-Tadeo, A. J.(2014).Building weighted-domain composite indices of life satisfaction with data envelopment analysis.Social Indicators Research,117(1),257-274.
18. Huyghe, A.,Knockaert, M.,Wright, M.,Piva, E.(2014).Technology transfer offices as boundary spanners in the pre-spin-off process: the case of a hybrid model.Small Business Economics,43(2),289-307.
19. Hwang, C. L.,Yoon, K.(1981).Multiple attribute decision making methods and applications.Berlin, Heidelberg:Springer-Verlag.
20. Isabel, M. B. F.,Rosane, A. M.,Evando, M. P. S.(2013).University–industry collaboration and innovation in emergent and mature industries in new industrialized countries.Research Policy,42,443-453.
21. Jacobsson, S.,Karltorp, K.(2013).Mechanisms blocking the dynamics of the European offshore wind energy innovation system - challenges for policy intervention.Energ Policy,63,1182-1195.
22. Kannan, D.,Khodaverdi, R.,Olfat, L.,Jafarian, A.,Diabat, A.(2013).Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain.Journal of Cleaner Production,47,355-367.
23. Kendra, M.,Čamaj, J.,Mašek, J.,Ponický, J.(2015).Increasing Efficiency of the Learning Process by an Active Cooperation between Universities and Industry.Procedia - Social and Behavioral Sciences,176(20),14-19.
24. Kirches, C.,Leyffer, S.(2013).TACO: a toolkit for AMPL control optimization.Mathematical Programming Computation,5(3),227-265.
25. Liew, M. S.,Shahdan, T.N.T.,Lim, E. S.(2013).Enablers in Enhancing the Relevancy of University-industry Collaboration.Procedia - Social and Behavioral Sciences,93(0),1889-1896.
26. Martínez, M. V. R.,Sánchez, A. M. M.,Hernández, S. B.(2013).Análisis del efecto de los embalses de sistemas hidrotérmicos en el costo de la energía y en las reservas usando AMPL.Scientia et technica,18(3),447-452.
27. Minguillo, D.,Tijssen, R.,Thelwall, M.(2015).Do science parks promote research and technology? A scientometric analysis of the UK.Scientometrics,102,701-725.
28. Murray, F.(2010).The oncomouse that roared: Hybrid exchange strategies as a source of distinction at the boundary of overlapping institutions.Am. J. Sociol.,116(2),341-388.
29. Nomakuchi, T.,Takahashi, M.(2015).A Study about Project Management for Industry-University Cooperation Dilemma.Procedia Computer Science,64,47-54.
30. Perkmann, M.,Tartari, V.,McKelvey, M.,Autio, E.,Broström, A.,D’Este, P.,Fini, R.,Geuna, A.,Grimaldi, R.,Hughes, A.,Krabel, S.,Kitson, M.,Llerena, P.,Lissoni, F.,Salter, A.,Sobrero, M.(2013).Academic engagement and commercialisation: A review of the literature on university–industry relations.Research Policy,42(2),423-444.
31. Plewa, C.,Johnson, C.,Korff, N.,Baaken, T.,MacPherson, G.,Rampersad, G. C.(2013).The evolution of university-industry linkages - A framework.Journal of Engineering and Technology Management - JET-M,30(1),21-44.
32. Sauermann, H.,Stephan, P.(2012).Conflicting logics? A multidimensional view of industrial and academic science.Organ. Sci.,24(3),889-909.
33. Şendoğdu, A. A.,Diken, A.(2013).A Research on the Problems Encountered in the Collaboration between University and Industry.Procedia - Social and Behavioral Sciences,99,966-975.
34. Shannon, C.E. & Weaver, W. (1947), The Mathematical Theory of Communication. Urbana: The University of Illinois Press.
35. Tartari, V.,Salter, A.,D'Este, P.(2012).Crossing the Rubicon: exploring the factors that shape academics' perceptions of the barriers to working with industry.Camb. J. Econ.,36(3),655-677.
36. Thornton, P. H.,Ocasio, W.,Lounsbury, M.(2012).The Institutional Logics Perspective: A New Approach to Culture, Structure, and Process.Oxford:Oxford University Press.
37. Wu, J.,Sun, J.,Liang, L.(2012).Cross efficiency evaluation method based on weight-balanced data envelopment analysis model.Computers & Industrial Engineering,63(2),513-519.
38. Yang, T.,Wang, P.,Li, F.(2018).Centralized resource allocation and target setting based on data envelopment analysis model.Mathematical Problems in Engineering,1-10.
39. Yumusak, N,Ozcelik, I.,Iskefiyeli, M.,Adak, F.,Krktepe, T.(2015).University industry linkage projects management system.Procedia - Social and Behavioral Sciences,174,3254-3259.
40. Zeleny, M.(1996).Multiple Criteria Decision Making.New York:Springer.
41. Zheng, J.,Yang, D.,Chen, S.,Wang, W.(2014).Incremental min–max projection analysis for classification.Neurocomputing,123,121-130.
42. Zhou, X.,Chen, H.,Chai, J.,Wang, S.,Lev, B.(2019).Performance evaluation and prediction of the integrated circuit industry in China: A hybrid method.Socio-Economic Planning Sciences,69(4)
43. 白雪,劉慶傑(2010)。淺議我國企業績效評價指標體系。現代商業，2010(2B)，74-75。
44. 馬麗英(2011)。利益相關者價值導向的民營企業績效評價指標的設置。紅河學院學報，4，40-45。
45. 教育部產學合作資訊網 (2018) ，「產業學院成果」，取自https://www.iaci.nkfust.edu.tw/home/Content/IndustryCollege.aspx
46. 蕭堯仁(2017)。,科技部。

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