Organizational Construction of a New Type of University Scientific Research Team Based on Jingyou Thought
More details
Hide details
1
School of Business Administration, Northeastern University, China
2
Management School, Henan University of Science and Technology, China
3
School of Business Administration, Liaoning University of Science and Technology, China
Online publication date: 2017-08-22
Publication date: 2017-08-22
Corresponding author
Shi-Tong Huang
School of Business Administration, Northeastern University, China. Address to 181 mailbox, School of Business Administration, No.195, Chuangxin Rd., Hunnan Dist., Shenyang City 110169, Liaoning Province, China. Tel: 0086 15566219899
EURASIA J. Math., Sci Tech. Ed 2017;13(8):5615-5627
KEYWORDS
ABSTRACT
To optimize the organization and management of scientific research team in university, this paper designs a new form of organization which takes into account of the common development of scientific research team (SRT) and team members. The study of this paper offers a new type of scientific research team which is based on Jingyou thought, and analyses the Jingyou SRT’s characteristics, including the human-oriented scientific organization system, sincere, frank and truth pursuing code of practice, initiative and passionate working atmosphere, strategic behavior results in harmony. The last part of this paper presents the design of the basic operational mechanism, benefit distribution and harmonious development mechanism of the Jingyou SRT based on the individual advantage recognition method.
REFERENCES (30)
1.
Alavi, M., & Tiwana, A. (2002). Knowledge integration in virtual teams: The potential role of KMS. Journal of the Association for Information Science and Technology, 53(12), 1029-1037. doi:10.1002/asi.10107.
2.
Augier, M., & Sarasvathy, S. D. (2004). Integrating evolution, cognition and design: Extending Simonian perspectives to strategic organization. Strategic Organization, 2(2), 169-204. doi:10.1177/1476127004042843.
3.
Bititci, U., Garengo, P., Dörfler, V., & Nudurupati, S. (2012). Performance measurement: challenges for tomorrow. International Journal of Management Reviews, 14(3), 305-327. doi:10.1111/j.1468-2370.2011.00318.x.
4.
Carmeli, A., & Paulus, P. B. (2015). CEO ideational facilitation leadership and team creativity: The mediating role of knowledge sharing. The Journal of Creative Behavior, 49(1), 53-75. doi:10.1002/jocb.59.
5.
Carmeli, A., Gelbard, R., & Reiter‐Palmon, R. (2013). Leadership, creative problem‐solving capacity, and creative performance: The importance of knowledge sharing. Human Resource Management, 52(1), 95-121. doi:10.1002/hrm.21514.
6.
Cordero, R. (1990). The measurement of innovation performance in the firm: an overview. Research Policy, 19(2), 185-192. doi:10.1016/0048-7333(90)90048-B.
7.
Drucker, P. F. (2006). Knowledge-worker productivity: the biggest challenge. IEEE Engineering Management Review, 34(2), 29-29. doi:10.1109/EMR.2006.1679053.
8.
Ford, C. M., & Gioia, D. A. (Eds.). (1995). Creative action in organizations: Ivory tower visions and real world voices. CA: Sage Publications.
9.
Grandori, A. (2001). Neither hierarchy nor identity: knowledge-governance mechanisms and the theory of the firm. Journal of management and Governance, 5(3), 381-399. doi:10.1023/A:1014055213456.
10.
Haas, M. R. (2006). Acquiring and applying knowledge in transnational teams: The roles of cosmopolitans and locals. Organization Science, 17(3), 367-384. doi:10.1287/orsc.1060.0187.
11.
Jackson, S. E., Chuang, C. H., Harden, E. E., & Jiang, Y. (2006). Toward developing human resource management systems for knowledge-intensive teamwork. Research in personnel and human resources management, 25, 27-70. doi:10.1016/s0742-7301(06)25002-3.
12.
Jin, L., & Sun, H. (2010). The effect of researchers’ interdisciplinary characteristics on team innovation performance: evidence from university R&D teams in China. The International Journal of Human Resource Management, 21(13), 2488-2502. doi:10.1080/09585192.2010.516599.
13.
Koontz, H. (1980). The management theory jungle revisited. Academy of management review, 5(2), 175-188. doi:10.5465/AMR.1980.4288715.
14.
March, J. G., & Simon, H. A. (1958). Organizations. New York, USA: Wiley.
15.
Martins, L. L., Gilson, L. L., & Maynard, M. T. (2004). Virtual teams: What do we know and where do we go from here?. Journal of management, 30(6), 805-835. doi:10.1016/j.jm.2004.05.002.
16.
Mesmer-Magnus, J. R., & DeChurch, L. A. (2009). Information sharing and team performance: a meta-analysis. Journal of Applied Psychology, 94(2), 535-546. doi:10.1037/a0013773.
17.
Nooteboom, B. (1992). Towards a dynamic theory of transactions. Journal of evolutionary economics, 2(4), 281-299. doi:10.1007/BF01200127.
18.
Nooteboom, B. (2004). Governance and competence: how can they be combined? Cambridge Journal of Economics, 28(4), 505-525. doi:10.1093/cje/28.4.505.
19.
Nooteboom, B. (2006). Beyond penrose: a cognitive theory of the firm. Social Science Electronic Publishing, 38(8), 29--59. doi:10.2139/ssrn.903746.
20.
Richard, P. J., Devinney, T. M., Yip, G. S., & Johnson, G. (2009). Measuring organizational performance: Towards methodological best practice. Journal of management, 35(3), 718-804. doi:10.1177/0149206308330560.
21.
Senge, P. (1990). The fifth discipline: The art and science of the learning organization. New York, USA: Currency Doubleday.
22.
Shapira, Z. (2000). Governance in organizations: A cognitive perspective. Journal of Management and Governance, 4(1-2), 53-67. doi:10.1023/A:1009945503527.
23.
Strati, A. (1998). (Mis) understanding cognition in organization studies. Scandinavian journal of management, 14(4), 309-329. doi:10.1016/S0956-5221(98)00014-1.
24.
Tjosvold, D., Tang, M. M. L., & West, M. (2004). Reflexivity for team innovation in China: The contribution of goal interdependence. Group and Organization Management, 29(5), 540-559. doi:10.1177/1059601103254911.
25.
Wang, S., Noe, R. A., & Wang, Z. M. (2014). Motivating knowledge sharing in knowledge management systems: A quasi–field experiment. Journal of Management, 40(4), 978-1009. doi:10.1177/0149206311412192.
26.
Werner, B. M., & Souder, W. E. (1997). Measuring R&D performance—state of the art. Research-Technology Management, 40(2), 34-42. doi:10.1080/08956308.1997.11671115.
27.
Zhang, X., De Pablos, P. O., & Xu, Q. (2014). Culture effects on the knowledge sharing in multi-national virtual classes: A mixed method. Computers in Human Behavior, 31, 491-498. doi:10.1016/j.chb.2013.04.021.
28.
Zhao, X. N., Zhu, C. H., Wang, Y. M., & Jia, J. F. (2012). Methodology and application of Jingyou evaluation. Beijing, China: Science Press.
29.
Zhao, X. N., Liu, B. D., & Xu, H. M. (2006). A Study on the Impact of the Thought of Conforming to the Natural Rule on the Progress of Human Society. Science, Technology and Dialectics, 23(2), 32-35.
30.
doi:10.3969/j.issn.1674-7062.2006.02.009.