Abstract
Under economic globalization, innovation is increasingly more open, and the creation, innovation, and application sectors of technological knowledge need to build an open collaborative innovation. Collaborative innovation is a transdisciplinary approach for developing global synergy to improve the competitiveness of an organization through holistic, competitive, and complementary interactions between and among innovation participants in a specific environment (Swink 2006). A collaborative innovation system essentially consists of three sectors: industry, universities, and the government, with each one interacting with the other two, while at the same time playing its own role.
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References
Abdullateef, E. (2000). Developing knowledge and creativity: Asset tracking as a strategy centerpiece. The Journal of Arts Management, Law, and Society, 30(3), 174–192. https://doi.org/10.1080/10632920009597311.
Abernathy, W. J., & Chakravarthy, B. S. (1979). Government intervention and innovation in industry: A policy framework. Sloan Management Review, 20(3), 3–18.
Albert, R., Jeong, H., & Barabási, A.-L. (1999). Diameter of the World-Wide Web. Nature, 401, 130. https://doi.org/10.1038/43601.
Ali, E. A., Halit, K., Hayat, A., & Zeki, O. (2017). Knowledge sharing barriers in software development teams: A multiple case study in Turkey. Kybernetes, 46(4), 603–620. https://doi.org/10.1108/K-04-2016-0081.
Allee, V. (1997). The knowledge evolution: Expanding organizational intelligence. Newton: Butterworth-Heinemann.
Allport, G. W. (1937). Personality: A psychological interpretation. New York: Henry Holt and Company.
Allport, G. W. (1961). Pattern and growth in personality. New York: Holt, Rinehart and Winston.
Allport, G. W., & Odbert, H. S. (1936). Trait-names: A psycho-lexical study. Psychological Monographs, 47(1), i-171. https://doi.org/10.1037/h0093360.
Alton, C. (2003). Knowledge sharing: A game people play. ASLIB Proceedings, 55(3), 117–129. https://doi.org/10.1108/00012530310472615.
Amaral, L. A. N., & Ottino, J. M. (2004). Complex networks. The European Physical Journal B, 38(2), 147–162. https://doi.org/10.1140/epjb/e2004-00110-5.
Amaral, L. A. N., Scala, A., Barthélémy, M., & Stanley, H. E. (2000). Classes of small-world networks. Proceedings of the National Academy of Sciences, 97(21), 11149–11152. https://doi.org/10.1073/pnas.200327197.
Ambos, T. C., Ambos, B., Eich, K. J., & Puck, J. (2016). Imbalance and isolation: How team configurations affect global knowledge sharing. Journal of International Management, 22(4), 316–332. https://doi.org/10.1016/j.intman.2016.03.005.
Andersen, P., & Petersen, N. C. (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science, 39(10), 1261–1264.
Anderson, T. R., Daim, T. U., & Lavoie, F. F. (2007). Measuring the efficiency of university technology transfer. Technovation, 27(5), 306–318.
Arvanitis, S., Kubli, U., & Woerter, M. (2006). University-industry knowledge and technology transfer in Switzerland: What university scientists think about co-operation with private enterprises. Research Policy, 37(10), 1865–1883.
Avkiran, N. K. (2001). Investigating technical and scale efficiencies of Australian universities through data envelopment analysis. Socio-Economic Planning Sciences, 35(1), 57–80. https://doi.org/10.1016/S0038-0121(00)00010-0.
Bandyopadhyay, S., & Pathak, P. (2007). Knowledge sharing and cooperation in outsourcing projects — A game theoretic analysis. Decision Support Systems, 43(2), 349–358. https://doi.org/10.1016/j.dss.2006.10.006.
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078–1092.
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182.
Barrat, A., & Weigt, M. (2000). On the properties of small-world network models. The European Physical Journal B - Condensed Matter and Complex Systems, 13(3), 547–560. https://doi.org/10.1007/s100510050067.
Beerepoot, M., & Beerepoot, N. (2007). Government regulation as an impetus for innovation: Evidence from energy performance regulation in the Dutch residential building sector. Energy Policy, 35(10), 4812–4825. https://doi.org/10.1016/j.enpol.2007.04.015.
Bell, G. G., & Zaheer, A. (2007). Geography, networks, and knowledge flow. Organization Science, 18(6), 955–972.
Bernard, A., & Tichkiewitch, S. (2008). Methods and tools for effective knowledge life-cycle-management. Berlin: Springer.
Bettis, R. A., & Hitt, M. A. (1995). The new competitive landscape. Strategic Management Journal, 16(S1), 7–19. https://doi.org/10.1002/smj.4250160915.
Bhargava, S. C., Kumar, A., & Mukherjee, A. (1993). A stochastic cellular automata model of innovation diffusion. Technological Forecasting and Social Change, 44(1), 87–97. https://doi.org/10.1016/0040-1625(93)90008-U.
Birkinshaw, J., & Sheehan, T. (2002). Managing the knowledge life cycle. MIT Sloan Management Review, 44(1), 75–83.
Bonaccorsi, A., & Daraio, C. (2003). A robust nonparametric approach to the analysis of scientific productivity. Research Evaluation, 12(1), 47–69.
Bonaccorsi, A., & Piccaluga, A. (1994). A theoretical framework for the evaluation of university-industry relationships. R&D Management, 24(3), 229–247.
Bower, D. J. (1993). Successful joint ventures in science parks. Long Range Planning, 26(6), 114–120. https://doi.org/10.1016/0024-6301(93)90213-Y.
Brenda, K., Yajiong, X., & Yongjun, L. (2016). Factors influencing knowledge sharing among global virtual teams. Team Performance Management: An International Journal, 22(5/6), 284–300. https://doi.org/10.1108/TPM-10-2015-0042.
Brunner, P. H., & Rechberger, H. (2004). Practical handbook of material flow analysis. The International Journal of Life Cycle Assessment, 9(5), 337–338.
Bui, H. T. (2017). Big five personality traits and job satisfaction. Journal of General Management, 42(3), 21–30. https://doi.org/10.1177/0306307016687990.
Cabrera, E. F., & Cabrera, A. (2005). Fostering knowledge sharing through people management practices. The International Journal of Human Resource Management, 16(5), 720–735. https://doi.org/10.1080/09585190500083020.
Cabrera, Á., Collins, W. C., & Salgado, J. F. (2006). Determinants of individual engagement in knowledge sharing. The International Journal of Human Resource Management, 17(2), 245–264. https://doi.org/10.1080/09585190500404614.
Cai, G., & Kock, N. (2009). An evolutionary game theoretic perspective on e-collaboration: The collaboration effort and media relativeness. European Journal of Operational Research, 194(3), 821–833. https://doi.org/10.1016/j.ejor.2008.01.021.
Carayol, N., & Roux, P. (2009). Knowledge flows and the geography of networks: A strategic model of small world formation. Journal of Economic Behavior & Organization, 71(2), 414–427. https://doi.org/10.1016/j.jebo.2009.02.005.
Carlucci, D., Marr, B., & Schiuma, G. (2004). The knowledge value chain: How intellectual capital impacts on business performance. International Journal of Technology Management, 27(6–7), 575–590. https://doi.org/10.1504/ijtm.2004.004903.
Casimir, G., Lee, K., & Loon, M. (2012). Knowledge sharing: Influences of trust, commitment and cost. Journal of Knowledge Management, 16(5), 740–753. https://doi.org/10.1108/13673271211262781.
Cattell, R. B. (1943a). The description of personality. I. Foundations of trait measurement. Psychological Review, 50(6), 559–594. https://doi.org/10.1037/h0057276.
Cattell, R. B. (1943b). The description of personality: Basic traits resolved into clusters. The Journal of Abnormal and Social Psychology, 38(4), 476–506. https://doi.org/10.1037/h0054116.
Cattell, R. B. (1945). The description of personality: Principles and findings in a factor analysis. The American Journal of Psychology, 58, 69–90. https://doi.org/10.2307/1417576.
Charnes, A., & Cooper, W. (1962). Programming with linear fractional functionals. Naval Research Logistics Quarterly, 9(3–4), 181–186. https://doi.org/10.1002/nav.3800090303.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444.
Chen, Y., Cook, W. D., Kao, C., & Zhu, J. (2013). Network DEA pitfalls: Divisional efficiency and frontier projection under general network structures. European Journal of Operational Research, 226(3), 507–515. https://doi.org/10.1016/j.ejor.2012.11.021.
Cheng, J. H., Yeh, C. H., & Tu, C. W. (2008). Trust and knowledge sharing in green supply chains. Supply Chain Management: An International Journal, 13(4), 283–295. https://doi.org/10.1108/13598540810882170.
Chong, C. W., Teh, P.-L., & Tan, B. C. (2014). Knowledge sharing among Malaysian universities’ students: Do personality traits, class room and technological factors matter? Educational Studies, 40(1), 1–25. https://doi.org/10.1080/03055698.2013.825577.
Cohen, W., & Levinthal, D. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152. https://doi.org/10.2307/2393553.
Colquitt, J. A. (2001). On the dimensionality of organizational justice: A construct validation of a measure. The Journal of Applied Psychology, 86(3), 386–400.
Cook, W. D., Zhu, J., Bi, G., & Yang, F. (2010). Network DEA: Additive efficiency decomposition. European Journal of Operational Research, 207(2), 1122–1129. https://doi.org/10.1016/j.ejor.2010.05.006.
Cooke, P., Kaufmann, D., Levin, C., & Wilson, R. (2006). The biosciences knowledge value chain and comparative incubation models. The Journal of Technology Transfer, 31(1), 115–129. https://doi.org/10.1007/s10961-005-5025-3.
Cooper, W. W., Park, K. S., & Pastor, J. T. (1999). RAM: A range adjusted measure of inefficiency for use with additive models, and relations to other models and measures in DEA. Journal of Productivity Analysis, 11(1), 5–42. https://doi.org/10.1023/a:1007701304281.
Cooper, W. W., Seiford, L. M., & Tone, K. (2007). Data envelopment analysis: A comprehensive text with models, applications, references and DEA-solver software. New York: Springer US.
Cooper, W. W., Seiford, L. M., & Zhu, J. (2011). Data envelopment analysis: History, models, and interpretations. In W. W. Cooper, L. M. Seiford, & J. Zhu (Eds.), Handbook on data envelopment analysis. New York: Springer US.
Costa, P. T., & MacCrae, R. R. (1985). The NEO personality inventory manual. Odessa: Psychological Assessment Resources.
Costa, P. T., & MacCrae, R. R. (1992). Revised NEO personality inventory (NEO PI-R) and NEO five-factor inventory (NEO-FFI): Professional manual. Odessa: Psychological Assessment Resources.
Cowan, R., & Jonard, N. (2004). Network structure and the diffusion of knowledge. Journal of Economic Dynamics and Control, 28(8), 1557–1575. https://doi.org/10.1016/j.jedc.2003.04.002.
Cress, U., & Martin, S. (2006). Knowledge sharing and rewards: A game-theoretical perspective. Knowledge Management Research & Practice, 4(4), 283–292. https://doi.org/10.1057/palgrave.kmrp.8500112.
Cyr, S., & Choo, C. W. (2010). The individual and social dynamics of knowledge sharing: An exploratory study. Journal of Documentation, 66(6), 824–846. https://doi.org/10.1108/00220411011087832.
de Moor, M. H. M., Costa, P. T., Terracciano, A., Krueger, R. F., de Geus, E. J. C., Toshiko, T., et al. (2012). Meta-analysis of genome-wide association studies for personality. Molecular Psychiatry, 17(3), 337–349. https://doi.org/10.1038/mp.2010.128.
DeYoung, C. G., Hirsh, J. B., Shane, M. S., Papademetris, X., Rajeevan, N., & Gray, J. R. (2010). Testing predictions from personality neuroscience. Psychological Science, 21(6), 820–828. https://doi.org/10.1177/0956797610370159.
DiCesare, F., Harhalakis, G., Proth, J.-M., Silva, M., & Vernadat, F. (1993). Practice of petri nets in manufacturing. Dordrecht: Springer.
Diez, J. R. (2000). The importance of public research institutes in innovative networks-empirical results from the metropolitan innovation systems Barcelona, Stockholm and Vienna. European Planning Studies, 8(4), 451–463. https://doi.org/10.1080/713666418.
Ding, Z., Ng, F., & Li, J. (2014). A parallel multiple mediator model of knowledge sharing in architectural design project teams. International Journal of Project Management, 32(1), 54–65. https://doi.org/10.1016/j.ijproman.2013.04.004.
Drucker, P. F. (1998). Harvard business review on knowledge management. Boston: Harvard Business Press.
Drucker, P. F. (2006). The practice of management (Reissue ed.). New York: Harper Business.
Dyer, J. H., & Chu, W. (2000). The determinants of trust in supplier-automaker relationships in the U.S., Japan and Korea. Journal of International Business Studies, 31(2), 259–285. https://doi.org/10.1057/palgrave.jibs.8490905.
Dyer, J. H., Kale, P., & Singh, H. (2004). When to ally and when to acquire. Harvard Business Review, 82(7–8), 108–115.
Eustace, C. (2003). A new perspective on the knowledge value chain. Journal of Intellectual Capital, 4(4), 588–596.
Fare, R., & Grosskopf, S. (1985). A nonparametric cost approach to scale efficiency. Scandinavian Journal of Economics, 87(4), 594–604.
Färe, R., & Grosskopf, S. (1996). Productivity and intermediate products: A frontier approach. Economics Letters, 50(1), 65–70. https://doi.org/10.1016/0165-1765(95)00729-6.
Färe, R., & Grosskopf, S. (2000). Network DEA. Socio-Economic Planning Sciences, 34(1), 35–49. https://doi.org/10.1016/S0038-0121(99)00012-9.
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253–290. https://doi.org/10.2307/2343100.
Franić, S., Borsboom, D., Dolan, C. V., & Boomsma, D. I. (2014). The big five personality traits: Psychological entities or statistical constructs? Behavior Genetics, 44(6), 591–604. https://doi.org/10.1007/s10519-013-9625-7.
French, J. W. (1953). The description of personality measurements in terms of rotated factors. Princeton: Educational Testing Service.
Fuentes, M. A., & Kuperman, M. N. (1999). Cellular automata and epidemiological models with spatial dependence. Physica A: Statistical Mechanics and its Applications, 267(3–4), 471–486. https://doi.org/10.1016/S0378-4371(99)00027-8.
Gagné, M. (2009). A model of knowledge-sharing motivation. Human Resource Management, 48(4), 571–589. https://doi.org/10.1002/hrm.20298.
Ghobadi, S. (2015). What drives knowledge sharing in software development teams: A literature review and classification framework. Information Management, 52(1), 82–97. https://doi.org/10.1016/j.im.2014.10.008.
Ghobadi, S., & D’Ambra, J. (2013). Modeling high-quality knowledge sharing in cross-functional software development teams. Information Processing & Management, 49(1), 138–157. https://doi.org/10.1016/j.ipm.2012.07.001.
Goldberg, L. R. (1981). Language and individual differences: The search for universals in personality lexicons. In L. Wheeler (Ed.), Review of personality and social psychology. California: Sage Publications.
Goldberg, L. R. (1982). From Ace to Zombie: Some explorations in the language of personality. In C. D. Spielberger, J. N. Butcher, & C. D. Spielberger (Eds.), Advances in personality assessment (Vol. 1). New York: Routledge.
Goldberg, L. R. (1990). An alternative “description of personality”: The big-five factor structure. Journal of Personality and Social Psychology, 59(6), 1216–1229. https://doi.org/10.1037/0022-3514.59.6.1216.
Goldberg, L. R. (1992). The development of markers for the big-five factor structure. Psychological Assessment, 4(1), 26–42. https://doi.org/10.1037/1040-3590.4.1.26.
Grant, R. M. (1996). Toward a knowledge-based theory of the firm. Strategic Management Journal, 17(S2), 109–122. https://doi.org/10.1002/smj.4250171110.
Greenberg, J. (1987). A taxonomy of organizational justice theories. Academy of Management Review, 12(1), 9–22. https://doi.org/10.5465/amr.1987.4306437.
Greenberg, J. (1990). Organizational justice: Yesterday, today, and tomorrow. Journal of Management, 16(2), 399–432. https://doi.org/10.1177/014920639001600208.
Guan, J., & Chen, K. (2012). Modeling the relative efficiency of national innovation systems. Research Policy, 41(1), 102–115.
Guan, J., & Wang, J. (2004). Evaluation and interpretation of knowledge production efficiency. Scientometrics, 59(1), 131–155. https://doi.org/10.1023/B:SCIE.0000013303.25298.ae.
Guan, J., & Zuo, K. (2014). A cross-country comparison of innovation efficiency. Scientometrics, 100(2), 541–575.
Hagedoorn, J., Link, A. N., & Vonortas, N. S. (2000). Research partnerships1This paper has benefited from the insightful comments and suggestions of Andy Brod and Kathy Combs.1. Research Policy, 29(4), 567–586. https://doi.org/10.1016/S0048-7333(99)00090-6.
Harari, M. B., Jain, N. K., & Joseph, T. (2014). The five-factor model of personality and knowledge transfer in the United Arab Emirates. International Journal of Selection and Assessment, 22(4), 399–410. https://doi.org/10.1111/ijsa.12086.
Hau, Y. S., Kim, B., Lee, H., & Kim, Y.-G. (2013). The effects of individual motivations and social capital on employees’ tacit and explicit knowledge sharing intentions. International Journal of Information Management, 33(2), 356–366. https://doi.org/10.1016/j.ijinfomgt.2012.10.009.
Heintze, N. (1995). Control-flow analysis and type systems. In A. Mycroft (Ed.), Static analysis. SAS 1995. lecture notes in computer science (Vol. 983). Berlin/Heidelberg: Springer.
Holsapple, C. W., & Singh, M. (2001). The knowledge chain model: Activities for competitiveness. Expert Systems with Applications, 20(1), 77–98.
Homans, G. C. (1958). Social Behavior as Exchange. American Journal of Sociology, 63(6), 597–606. https://doi.org/10.1086/222355.
Hsu, B.-F., Wu, W.-L., & Yeh, R.-S. (2011). Team personality composition, affective ties and knowledge sharing: A team-level analysis. International Journal of Technology Management, 53(2–4), 331–351. https://doi.org/10.1504/ijtm.2011.038597.
Hu, J., Guan, Y., & Fan, X. (2010). The innovation efficiency of industry-University- Research Cooperation based on DEA. In 2010 3rd international conference on information management, innovation management and industrial engineering, 26–28 Nov. 2010 (Vol. 3, pp. 345–348), Kunming, China. https://doi.org/10.1109/ICIII.2010.403 .
Huang, C.-C. (2009). Knowledge sharing and group cohesiveness on performance: An empirical study of technology R&D teams in Taiwan. Technovation, 29(11), 786–797. https://doi.org/10.1016/j.technovation.2009.04.003.
Huang, X., He, P., & Zhang, W. (2016). A cooperative differential game of transboundary industrial pollution between two regions. Journal of Cleaner Production, 120, 43–52. https://doi.org/10.1016/j.jclepro.2015.10.095.
Hung, S.-Y., Durcikova, A., Lai, H.-M., & Lin, W.-M. (2011). The influence of intrinsic and extrinsic motivation on individuals’ knowledge sharing behavior. International Journal of Human-Computer Studies, 69(6), 415–427. https://doi.org/10.1016/j.ijhcs.2011.02.004.
Inzelt, A. (2004). The evolution of university–industry–government relationships during transition. Research Policy, 33(6–7), 975–995. https://doi.org/10.1016/j.respol.2004.03.002.
Jadin, T., Gnambs, T., & Batinic, B. (2013). Personality traits and knowledge sharing in online communities. Computers in Human Behavior, 29(1), 210–216. https://doi.org/10.1016/j.chb.2012.08.007.
Jafari Navimipour, N., & Charband, Y. (2016). Knowledge sharing mechanisms and techniques in project teams: Literature review, classification, and current trends. Computers in Human Behavior, 62, 730–742. https://doi.org/10.1016/j.chb.2016.05.003.
Janssen, O., Lam, C. K., & Huang, X. (2010). Emotional exhaustion and job performance: The moderating roles of distributive justice and positive affect. Journal of Organizational Behavior, 31(6), 787–809. https://doi.org/10.1002/job.614.
Jensen, K. (1994). An introduction to the theoretical aspects of coloured petri nets. New York: Springer.
Johnes, J., & Yu, L. (2008). Measuring the research performance of Chinese higher education institutions using data envelopment analysis. China Economic Review, 19(4), 679–696. https://doi.org/10.1016/j.chieco.2008.08.004.
Jørgensen, S., & Zaccour, G. (2004). A brief tutorial on differential games. In S. Jørgensen & G. Zaccour (Eds.), Differential games in marketing. Boston: Springer.
Judge, T. A., & Zapata, C. P. (2015). The person–situation debate revisited: Effect of situation strength and trait activation on the validity of the big five personality traits in predicting job performance. Academy of Management Journal, 58(4), 1149–1179. https://doi.org/10.5465/amj.2010.0837.
Kalling, T. (2003). Organization-internal transfer of knowledge and the role of motivation: A qualitative case study. Knowledge and Process Management, 10(2), 115–126. https://doi.org/10.1002/kpm.170.
Kao, C. (2014). Efficiency decomposition in network data envelopment analysis with slacks-based measures. Omega, 45, 1–6. https://doi.org/10.1016/j.omega.2013.12.002.
Kari, J. (2005). Theory of cellular automata: A survey. Theoretical Computer Science, 334(1), 3–33. https://doi.org/10.1016/j.tcs.2004.11.021.
Kari, J. (2012). Basic concepts of cellular automata. In G. Rozenberg, T. Bäck, & J. N. Kok (Eds.), Handbook of natural computing. Berlin Heidelberg: Springer.
Keeling, M. J. (1999). The effects of local spatial structure on epidemiological invasions. Proceedings of the Royal Society of London. Series B: Biological Sciences, 266(1421), 859–867. https://doi.org/10.1098/rspb.1999.0716.
Kleinberg, J. M. (2000). Navigation in a small world. Nature, 406, 845. https://doi.org/10.1038/35022643.
Kleingeld, A., van Mierlo, H., & Arends, L. (2011). The effect of goal setting on group performance: A meta-analysis. Journal of Applied Psychology, 96(6), 1289–1304. https://doi.org/10.1037/a0024315.
Koessler, F. (2004). Strategic knowledge sharing in Bayesian games. Games and Economic Behavior, 48(2), 292–320. https://doi.org/10.1016/j.geb.2003.10.002.
Koschatzky, K., & Stahlecker, T. (2010). New forms of strategic research collaboration between firms and universities in the German research system. International Journal of Technology Transfer and Commercialisation, 9(1–2), 94–110. https://doi.org/10.1504/ijttc.2010.029427.
Kumar, N., Scheer, L., Jan-Benedict, E. M., & Steenkamp. (1995). The effects of supplier fairness on vulnerable resellers. Journal of Marketing Research, 32(1), 54–65. https://doi.org/10.2307/3152110.
Kwong, J. Y. Y., & Cheung, F. M. (2003). Prediction of performance facets using specific personality traits in the Chinese context. Journal of Vocational Behavior, 63(1), 99–110. https://doi.org/10.1016/S0001-8791(02)00021-0.
Lambertini, L., & Mantovani, A. (2010). Process and product innovation: A differential game approach to product life cycle. International Journal of Economic Theory, 6(2), 227–252. https://doi.org/10.1111/j.1742-7363.2010.00132.x.
Latham, G. P., & Locke, E. A. (2007). New developments in and directions for goal-setting research. European Psychologist, 12(4), 290–300. https://doi.org/10.1027/1016-9040.12.4.290.
Leavitt, H. J., & Bahrami, H. (1989). Managerial psychology: Managing behavior in organizations. Chicago: University of Chicago Press.
Lee, C. C., & Yang, J. (2000). Knowledge value chain. Journal of Management Development, 19(9), 783–794.
Leonard-Barton, D. (1988). Implementation as mutual adaptation of technology and organization. Research Policy, 17(5), 251–267. https://doi.org/10.1016/0048-7333(88)90006-6.
Leventhal, G. S. (1980). What should be done with equity theory? In K. J. Gergen, M. S. Greenberg, & R. H. Willis (Eds.), Social exchange: Advances in theory and research (pp. 27–55). Boston: Springer US.
Levin, D. Z., & Cross, R. (2004). The strength of weak ties you can trust: The mediating role of trust in effective knowledge transfer. Management Science, 50(11), 1477–1490. https://doi.org/10.1287/mnsc.1030.0136.
Lewis, H. F., & Sexton, T. R. (2004). Network DEA: Efficiency analysis of organizations with complex internal structure. Computers & Operations Research, 31(9), 1365–1410. https://doi.org/10.1016/S0305-0548(03)00095-9.
Leydesdorff, L., & Etzkowitz, H. (1996). Emergence of a Triple Helix of university—Industry—Government relations. Science and Public Policy, 23(5), 279–286. https://doi.org/10.1093/spp/23.5.279.
Leydesdorff, L., & Guoping, Z. (2001). University—Industry—Government relations in China. Industry and Higher Education, 15(3), 179–182. https://doi.org/10.5367/000000001101295632.
Li, Y.-M., & Jhang-Li, J.-H. (2010). Knowledge sharing in communities of practice: A game theoretic analysis. European Journal of Operational Research, 207(2), 1052–1064. https://doi.org/10.1016/j.ejor.2010.05.033.
Li, D., Ma, J., Tian, Z., & Zhu, H. (2015). An evolutionary game for the diffusion of rumor in complex networks. Physica A: Statistical Mechanics and its Applications, 433, 51–58. https://doi.org/10.1016/j.physa.2015.03.080.
Lin, M., & Li, N. (2010). Scale-free network provides an optimal pattern for knowledge transfer. Physica A: Statistical Mechanics and its Applications, 389(3), 473–480. https://doi.org/10.1016/j.physa.2009.10.004.
Liu, B. (2011). Study on performance of industry-university cooperation based on DEA. In 2011 international conference on business management and electronic information, 13–15 May 2011 (Vol. 4, pp. 168–171), Guangzhou, China. https://doi.org/10.1109/ICBMEI.2011.5920944
Liu, Y., & Phillips, J. S. (2011). Examining the antecedents of knowledge sharing in facilitating team innovativeness from a multilevel perspective. International Journal of Information Management, 31(1), 44–52. https://doi.org/10.1016/j.ijinfomgt.2010.05.002.
Liu, D., Kumar, S., & Mookerjee, V. S. (2012). Advertising strategies in electronic retailing: A differential games approach. Information Systems Research, 23(3-part-2), 903–917. https://doi.org/10.1287/isre.1110.0377.
Locke, E. A., Latham, G. P., Smith, K. J., Wood, R. E., & Bandura, A. (1990). A theory of goal setting & task performance. Englewood Cliffs: Prentice Hall College Div.
Lodi-Smith, J., & Roberts, B. W. (2007). Social investment and personality: A meta-analysis of the relationship of personality traits to investment in work, family, religion, and volunteerism. Personality & Social Psychology Review, 11(1), 68–86. https://doi.org/10.1177/1088868306294590.
Lu, L., & Etzkowitz, H. (2008). Strategic challenges for creating knowledge-based innovation in China: Transforming triple helix university-government-industry relations. Journal of Technology Management in China, 3(1), 5–11. https://doi.org/10.1108/17468770810851476.
Lundvall, B.-A. (1992). National systems of innovation: Towards a theory of innovation and interactive learning. London: Pinter Pub Ltd.
Luo, Y. (2007). The independent and interactive roles of procedural, distributive, and interactional justice in strategic alliances. Academy of Management Journal, 50(3), 644–664. https://doi.org/10.5465/amj.2007.25526452.
Ma, Z., Lee, Y., & Chen, C.-F. P. (2009). Booming or emerging? China’s technological capability and international collaboration in patent activities. Technological Forecasting and Social Change, 76(6), 787–796. https://doi.org/10.1016/j.techfore.2008.11.003.
Maslow, A. H. (1987). Motivation and personality (3rd ed.). New York: Harper & Row.
Matzler, K., Renzl, B., Müller, J., Herting, S., & Mooradian, T. A. (2008). Personality traits and knowledge sharing. Journal of Economic Psychology, 29(3), 301–313. https://doi.org/10.1016/j.joep.2007.06.004.
Matzler, K., Renzl, B., Mooradian, T., von Krogh, G., & Mueller, J. (2011). Personality traits, affective commitment, documentation of knowledge, and knowledge sharing. The International Journal of Human Resource Management, 22(2), 296–310. https://doi.org/10.1080/09585192.2011.540156.
McAdams, D. P., & Olson, B. D. (2010). Personality development: Continuity and change over the life course. Annual Review of Psychology, 61(1), 517–542. https://doi.org/10.1146/annurev.psych.093008.100507.
McAdams, D. P., & Pals, J. L. (2006). A new big five: Fundamental principles for an integrative science of personality. The American Psychologist, 61(3), 204–217.
McCrae, R. R., & Costa, P. T. (1983). Joint factors in self-reports and ratings: Neuroticism, extraversion and openness to experience. Personality and Individual Differences, 4(3), 245–255. https://doi.org/10.1016/0191-8869(83)90146-0.
McCrae, R. R., & Costa, P. T. (2008). The five-factor theory of personality. In O. P. John, R. W. Robins, & L. A. Pervin (Eds.), Handbook of personality: Theory and research. New York: The Guilford Press.
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-Commerce: An integrative typology. Information Systems Research, 13(3), 334–359. https://doi.org/10.1287/isre.13.3.334.81.
Merton, R. C. (2013). Innovation risk: How to make smarter decisions. Harvard Business Review, 91(4), 48–56.
Metcalfe, M. (2005). Knowledge sharing, complex environments and small-worlds. Human Systems Management, 24(3), 185–195.
Milgram, S. (1967). The small-world problem. Psychology Today, 1(1), 61–67.
Minbaeva, D. B. (2008). HRM practices affecting extrinsic and intrinsic motivation of knowledge receivers and their effect on intra-MNC knowledge transfer. International Business Review, 17(6), 703–713. https://doi.org/10.1016/j.ibusrev.2008.08.001.
Mischel, W. (2004). Toward an integrative science of the person. Annual Review of Psychology, 55, 1–22.
Mooradian, T., Renzl, B., & Matzler, K. (2006). Who trusts? Personality, trust and knowledge sharing. Management Learning, 37(4), 523–540. https://doi.org/10.1177/1350507606073424.
Moorman, C., Zaltman, G., & Deshpande, R. (1992). Relationships between providers and users of market research:The dynamics of trust within and between organizations. Journal of Marketing Research, 29(3), 314–328. https://doi.org/10.2307/3172742.
Mu, J., Peng, G., & Love, E. (2008). Interfirm networks, social capital, and knowledge flow. Journal of Knowledge Management, 12(4), 86–100. https://doi.org/10.1108/13673270810884273.
Murray, H. A. (1938). Explorations in personality. New York: Oxford University Press.
Nelson, R. R. (1993). National innovation systems: A comparative analysis. New York: Oxford University Press.
Newman, M. E. J. (2000). Models of the small world. Journal of Statistical Physics, 101(3), 819–841. https://doi.org/10.1023/a:1026485807148.
Nierstrasz, O. M. (1985). Message flow analysis. In D. C. Tsichritzis (Ed.), Office automation. topics in information systems. Berlin/ Heidelberg: Springer.
Nigg, J. T., John, O. P., Blaskey, L. G., Huang-Pollock, C. L., Willcutt, E. G., Hinshaw, S. P., et al. (2002). Big five dimensions and ADHD symptoms: Links between personality traits and clinical symptoms. Journal of Personality and Social Psychology, 83(2), 451–469. https://doi.org/10.1037/0022-3514.83.2.451.
Nonaka, I. (1994). A dynamic theory of organizational knowledge creation. Organization Science, 5(1), 14–37. https://doi.org/10.1287/orsc.5.1.14.
Nonaka, I., Toyama, R., & Hirata, T. (2008). Managing flow - A process theory of the knowledge-based firm. London: Palgrave Macmillan UK.
Norman, W. T. (1963). Toward an adequate taxonomy of personality attributes: Replicated factor structure in peer nomination personality ratings. The Journal of Abnormal and Social Psychology, 66(6), 574–583. https://doi.org/10.1037/h0040291.
Odum, E. P. (1968). Energy flow in ecosystems: A historical review. American Zoologist, 8(1), 11–18.
OECD. (2008). OECD reviews of innovation policy: China. Paris: OECD Publishing.
OECD. (2011). Public Research Institutions: Mapping sector trends. Paris: OECD Publishing.
Olaisen, J., & Revang, O. (2017). The dynamics of intellectual property rights for trust, knowledge sharing and innovation in project teams. International Journal of Information Management, 37(6), 583–589. https://doi.org/10.1016/j.ijinfomgt.2017.05.012.
O’leary-kelly, A. M., Martocchio, J. J., & Frink, D. D. (1994). A review of the influence of group goals on group performance. Academy of Management Journal, 37(5), 1285–1301. https://doi.org/10.2307/256673.
Ozer, D. J., & Benet-Martínez, V. (2006). Personality and the prediction of consequential outcomes. Annual Review of Psychology, 57, 401–421.
Pavitt, K. (1976). Government policies towards innovation: A review of empirical findings. Omega, 4(5), 539–558. https://doi.org/10.1016/0305-0483(76)90005-0.
Perkmann, M., & Walsh, K. (2007). University–industry relationships and open innovation: Towards a research agenda. International Journal of Management Reviews, 9(4), 259–280. https://doi.org/10.1111/j.1468-2370.2007.00225.x.
Picazo-Vela, S., Chou, S. Y., Melcher, A. J., & Pearson, J. M. (2010). Why provide an online review? An extended theory of planned behavior and the role of big-five personality traits. Computers in Human Behavior, 26(4), 685–696. https://doi.org/10.1016/j.chb.2010.01.005.
Pinjani, P., & Palvia, P. (2013). Trust and knowledge sharing in diverse global virtual teams. Information Management, 50(4), 144–153. https://doi.org/10.1016/j.im.2012.10.002.
Polanyi, M. (2015). Personal knowledge: Towards a post-critical philosophy. Chicago: University of Chicago Press.
Porter, M. E. (1996). What is strategy? Harvard Business Review, 86(5), 926–929.
Poyago-Theotoky, J., Beath, J., & Siegel, D. S. (2002). Universities and fundamental research: Reflections on the growth of University–Industry partnerships. Oxford Review of Economic Policy, 18(1), 10–21. https://doi.org/10.1093/oxrep/18.1.10.
Quigley, N. R., Tesluk, P. E., Locke, E. A., & Bartol, K. M. (2007). A multilevel investigation of the motivational mechanisms underlying knowledge sharing and performance. Organization Science, 18(1), 71–88. https://doi.org/10.1287/orsc.1060.0223.
Rahm, D., Kirkland, J., & Bozeman, B. (2000). University-Industry R&D Collaboration in the United States, the United Kingdom, and Japan. Netherlands: Springer.
Reisig, W. (1985). Petri nets: An introduction. New York: Springer.
Richard, J., & Wayne, W. (2009). Using agent based simulation and game theory analysis to study knowledge flow in organizations: The KMscape. International Journal of Knowledge Management (IJKM), 5(1), 17–28. https://doi.org/10.4018/jkm.2009010102.
Robbins, S. P., & Judge, T. A. (2014). Organizational behavior (16th ed.). New York: Pearson.
Rosendaal, B., & Bijlsma-Frankema, K. (2015). Knowledge sharing within teams: Enabling and constraining factors. Knowledge Management Research & Practice, 13(3), 235–247. https://doi.org/10.1057/kmrp.2013.45.
Rousseau, D. M., Sitkin, S. B., Burt, R. S., & Camerer, C. (1998). Not so different after all: A cross-discipline view of trust. Academy of Management Review, 23(3), 393–404. https://doi.org/10.5465/amr.1998.926617.
Sabel, C. F. (1993). Studied trust: Building new forms of cooperation in a volatile economy. Human Relations, 46(9), 1133–1170. https://doi.org/10.1177/001872679304600907.
Salimifard, K., & Wright, M. (2001). Petri net-based modelling of workflow systems: An overview. European Journal of Operational Research, 134(3), 664–676.
Samaddar, S., & Kadiyala, S. S. (2006). An analysis of interorganizational resource sharing decisions in collaborative knowledge creation. European Journal of Operational Research, 170(1), 192–210. https://doi.org/10.1016/j.ejor.2004.06.024.
Samieh, H. M., & Wahba, K. (2007). Knowledge sharing behavior from game theory and socio-psychology perspectives. In 40th annual Hawaii international conference on system sciences, 3-6 Jan. 2007 (pp. 187c–187c). Big Island: University of Hawaii. https://doi.org/10.1109/HICSS.2007.319.
Santoro, M. D., & Gopalakrishnan, S. (2000). The institutionalization of knowledge transfer activities within industry–university collaborative ventures. Journal of Engineering and Technology Management, 17(3), 299–319. https://doi.org/10.1016/S0923-4748(00)00027-8.
Santoro, M. D., & Saparito, P. A. (2003). The firm’s trust in its university partner as a key mediator in advancing knowledge and new technologies. IEEE Transactions on Engineering Management, 50(3), 362–373. https://doi.org/10.1109/TEM.2003.817287.
Savolainen, R. (2009). Small world and information grounds as contexts of information seeking and sharing. Library & Information Science Research, 31(1), 38–45. https://doi.org/10.1016/j.lisr.2008.10.007.
Schmit, M. J., & Ryan, A. M. (1993). The big five in personnel selection: Factor structure in applicant and nonapplicant populations. Journal of Applied Psychology, 78(6), 966–974. https://doi.org/10.1037/0021-9010.78.6.966.
Seibert, S. E., & Kraimer, M. L. (2001). The five-factor model of personality and career success. Journal of Vocational Behavior, 58(1), 1–21. https://doi.org/10.1006/jvbe.2000.1757.
Seiford, L. M., & Thrall, R. M. (1990). Recent developments in DEA. Journal of Econometrics, 46(1), 7–38. https://doi.org/10.1016/0304-4076(90)90045-U.
Selten, R. (1983). Evolutionary stability in extensive two-person games. Mathematical Social Sciences, 5(3), 269–363. https://doi.org/10.1016/0165-4896(83)90012-4.
Shalley, C. E., Zhou, J., & Oldham, G. R. (2004). The effects of personal and contextual characteristics on creativity: Where should we go from here? Journal of Management, 30(6), 933–958. https://doi.org/10.1016/j.jm.2004.06.007.
Shi, Y., & Guan, J. (2016). Small-world network effects on innovation: Evidences from nanotechnology patenting. Journal of Nanoparticle Research, 18(11), 329. https://doi.org/10.1007/s11051-016-3637-1.
Shih, M.-H., Tsai, H.-T., Wu, C.-C., & Lu, C.-H. (2006). A holistic knowledge sharing framework in high-tech firms: Game and co-opetition perspectives. International Journal of Technology Management, 36(4), 354–367. https://doi.org/10.1504/ijtm.2006.010272.
Shim, J. (2010). The relationship between workplace incivility and the intention to share knowledge: The moderating effects of collaborative climate and personality traits. Minneapolis: University of Minnesota.
Sikhar, B., Gaurav, A., Zhang, W. J., Biswajit, M., & Tiwari, M. K. (2012). A decision framework for the analysis of green supply chain contracts: An evolutionary game approach. Expert Systems with Applications, 39(3), 2965–2976. https://doi.org/10.1016/j.eswa.2011.08.158.
Silva, M., & Teruel, E. (1997). Petri nets for the design and operation of manufacturing systems. European Journal of Control, 3(3), 182–199.
Simon, H. A. (1955). A behavioral model of rational choice. The Quarterly Journal of Economics, 69(1), 99–118. https://doi.org/10.2307/1884852.
Simonin, B. L. (1999). Ambiguity and the process of knowledge transfer in strategic alliances. Strategic Management Journal, 20(7), 595–623. https://doi.org/10.1002/(SICI)1097-0266(199907)20:7<595::AID-SMJ47>3.0.CO;2-5.
Smith, J. M., & Price, G. R. (1973). The logic of animal conflict. Nature, 246(5427), 15–18.
Sorenson, O., Rivkin, J. W., & Fleming, L. (2006). Complexity, networks and knowledge flow. Research Policy, 35(7), 994–1017. https://doi.org/10.1016/j.respol.2006.05.002.
Srivastava, A., Bartol, K. M., & Locke, E. A. (2006). Empowering leadership in management teams: Effects on knowledge sharing, efficacy, and performance. Academy of Management Journal, 49(6), 1239–1251. https://doi.org/10.5465/amj.2006.23478718.
Strogatz, S. H. (2001). Exploring complex networks. Nature, 410(6825), 268–276. https://doi.org/10.1038/35065725.
Suzuki, J., Tsukada, N., & Goto, A. (2015). Role of Public Research Institutes in Japan’s National Innovation System: Case study of AIST, RIKEN and JAXA. Science, Technology and Society, 20(2), 133–160. https://doi.org/10.1177/0971721815579793.
Swink, M. (2006). Building collaborative innovation capability. Research-Technology Management, 49(2), 37–47. https://doi.org/10.1080/08956308.2006.11657367.
Tang, C., & Naumann, S. E. (2015). Team diversity, mood, and team creativity: The role of team knowledge sharing in Chinese R&D teams. Journal of Management & Organization, 22(3), 420–434. https://doi.org/10.1017/jmo.2015.43.
Taylor, P. D., & Jonker, L. B. (1978). Evolutionary stable strategies and game dynamics. Mathematical Biosciences, 40(1), 145–156. https://doi.org/10.1016/0025-5564(78)90077-9.
Teh, P.-L., Yong, C.-C., Chong, C.-W., & Yew, S.-Y. (2011). Do the big five personality factors affect knowledge sharing behaviour? A study of Malaysian universities. Malaysian Journal of Library & Information Science, 16(1), 47–62.
Teigland, R., & Wasko, M. (2009). Knowledge transfer in MNCs: Examining how intrinsic motivations and knowledge sourcing impact individual centrality and performance. Journal of International Management, 15(1), 15–31. https://doi.org/10.1016/j.intman.2008.02.001.
Tett, R. P., & Burnett, D. D. (2003). A personality trait-based interactionist model of job performance. Journal of Applied Psychology, 88(3), 500–517.
Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498–509.
Tone, K., & Tsutsui, M. (2009). Network DEA: A slacks-based measure approach. European Journal of Operational Research, 197(1), 243–252.
Tupes, E. C., & Christal, R. E. (1992). Recurrent personality factors based on trait ratings. Journal of Personality, 60(2), 225–251.
Uzzi, B., Amaral, L. A. N., & Reed-Tsochas, F. (2007). Small-world networks and management science research: A review. European Management Review, 4(2), 77–91. https://doi.org/10.1057/palgrave.emr.1500078.
van der Aalst, W. M. (1998). The application of petri nets to workflow management. Journal of circuits, systems, and computers, 8(01), 21–66.
Vangen, S., & Huxham, C. (2003). Nurturing collaborative relations. The Journal of Applied Behavioral Science, 39(1), 5–31. https://doi.org/10.1177/0021886303039001001.
Vincent, T. L. (1985). Evolutionary games. Journal of Optimization Theory and Applications, 46(4), 605–612. https://doi.org/10.1007/bf00939163.
von Krogh, G., Nonaka, I., & Rechsteiner, L. (2012). Leadership in organizational knowledge creation: A review and framework. Journal of Management Studies, 49(1), 240–277. https://doi.org/10.1111/j.1467-6486.2010.00978.x.
Wang, Z. (2012). Knowledge integration in collaborative innovation and a self-organizing model. International Journal of Information Technology & Decision Making, 11(02), 427–440. https://doi.org/10.1142/s0219622012400093.
Wang, C. L., & Ahmed, P. K. (2005). The knowledge value chain: A pragmatic knowledge implementation network. Handbook of Business Strategy, 6(1), 321–326. https://doi.org/10.1108/08944310510558115.
Wang, C.-C., & Yang, Y.-J. (2007). Personality and intention to share knowledge: An empirical study of scientists in an R&D laboratory. Social Behavior and Personality: An International Journal, 35(10), 1427–1436. https://doi.org/10.2224/sbp.2007.35.10.1427.
Watts, D. J. (2004). The “new” science of networks. Annual Review of Sociology, 30(1), 243–270. https://doi.org/10.1146/annurev.soc.30.020404.104342.
Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ‘small-world’ networks. Nature, 393(6684), 440–442.
Wei, J., Liu, L., & Francesco, C. A. (2010). A cognitive model of intra-organizational knowledge-sharing motivations in the view of cross-culture. International Journal of Information Management, 30(3), 220–230. https://doi.org/10.1016/j.ijinfomgt.2009.08.007.
Wilensky, U. (1999). NetLogo. http://ccl.northwestern.edu/netlogo/
Wolf, D. E. (1999). Cellular automata for traffic simulations. Physica A: Statistical Mechanics and its Applications, 263(1), 438–451. https://doi.org/10.1016/S0378-4371(98)00536-6.
Wolfram, S. (1984). Universality and complexity in cellular automata. Physica D: Nonlinear Phenomena, 10(1), 1–35. https://doi.org/10.1016/0167-2789(84)90245-8.
Xu, Y., & Bernard, A. (2010). Knowledge value chain: An effective tool to measure knowledge value. International Journal of Computer Integrated Manufacturing, 23(11), 957–967. https://doi.org/10.1080/0951192x.2010.500677.
Yao, W., Chen, J., & Si, Y. (2011). Research on the knowledge creation process of the university-industry collaboration: A case from China. African Journal of Business Management, 5(32), 12586–12597.
Yao, W., Han, X., & Li, Y. (2015). Cross-organizational knowledge creation theory from the perspective of I-Ching: Case study in Chinese aerospace industry. Chinese Management Studies, 9(4), 528–552. https://doi.org/10.1108/CMS-07-2015-0162.
Yu, Y., Hao, J.-X., Dong, X.-Y., & Khalifa, M. (2013). A multilevel model for effects of social capital and knowledge sharing in knowledge-intensive work teams. International Journal of Information Management, 33(5), 780–790. https://doi.org/10.1016/j.ijinfomgt.2013.05.005.
Zhao, R., Zhou, X., Han, J., & Liu, C. (2016). For the sustainable performance of the carbon reduction labeling policies under an evolutionary game simulation. Technological Forecasting and Social Change, 112, 262–274. https://doi.org/10.1016/j.techfore.2016.03.008.
Zhu, J. (2009). Quantitative models for performance evaluation and benchmarking: Data envelopment analysis with spreadsheets. New York: Springer US.
Zhu, Y.-Q. (2016). Solving knowledge sharing disparity: The role of team identification, organizational identification, and in-group bias. International Journal of Information Management, 36(6), 1174–1183. https://doi.org/10.1016/j.ijinfomgt.2016.08.003.
Zhuge, H. (2002a). A knowledge flow model for peer-to-peer team knowledge sharing and management. Expert Systems with Applications, 23(1), 23–30. Pii s0957-4174(02)00024-62391016/s0957-4174(02)00024-6.
Zhuge, H. (2002b). A knowledge grid model and platform for global knowledge sharing. Expert Systems with Applications, 22(4), 313–320.
Zhuge, H. (2004). The knowledge grid (Vol. 2012). Hackensack: World Scientific.
Zohar, D. (1995). The justice perspective of job stress. Journal of Organizational Behavior, 16(5), 487–495. https://doi.org/10.1002/job.4030160508.
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Yu, Y., Chen, Y., Shi, Q. (2018). Efficiency Evaluation of Knowledge Flow in University-Industry Collaborative Innovation in China. In: Strategy and Performance of Knowledge Flow. International Series in Operations Research & Management Science, vol 271. Springer, Cham. https://doi.org/10.1007/978-3-319-77926-3_3
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