Based on Data Envelopment Analysis to Evaluation the Promotion Performance of Knowledge Management in Agricultural Industrial Parks in China
DOI:
https://doi.org/10.47747/fmiic.v1i3.3636Abstract
The agricultural industrial parks in China encounter the problems of small size, difficult business operation, uneasy capital formation, low net value, and excessive centralization in specific areas. In face of the approach of new financial era, agricultural industrial parks have to re-plan the business strategies and actively reinforce or improve the defects and weaknesses in order to cope with future competition trend. Data Envelopment Analysis is applied to evaluate efficiency in this study. National agricultural industrial parks in Anxi, Fujian, are selected as the research samples. The used variable data are acquired from public statistics of national agricultural industrial parks in Anxi, Fujian. The analysis results show that 1.one DMU presents strong efficiency, 3 DMUs reveal marginal inefficiency, and 6 DMUs appear obvious inefficiency and 2.inputs and outputs are removed one by one for sensitivity analysis with DEA to understand the sensitivity to efficiency. Finally, suggestions are proposed according to the conclusion, expecting to assist agricultural industrial parks in reinforcing the competitiveness and promoting the business performance through knowledge management.
References
Applanaidu, S. D., Samsudin, S., Ali, J., Dash, U., & Chik, A. R. (2014). Technical and scale efficiency of public district hospitals in Kedah, Malaysia: A data envelopment analysis (DEA). Journal of Health Management, 16(3), 327–335.
Bhat, S. A., & Kumar, A. (2017). Performance evaluation of outsourcing decision using a BSC and fuzzy AHP approach: A case of the Indian coal mining organization. Resources Policy, 52, 181–191.
Burke, J., & Hung, A. A. (2015). Do financial advisers influence savings behavior? RAND Corporation.
Cerchione, R., Esposito, E., & Spadaro, M. R. (2016). A literature review on knowledge management in SMEs. Knowledge Management Research & Practice, 14(2), 169–177.
Chang, J. J., Hung, K. P., & Lin, M. J. (2014). Knowledge creation and new product performance: The role of creativity. R&D Management, 44(2), 107–123.
Denicolai, S., Zucchella, A., & Strange, R. (2014). Knowledge assets and firm international performance. International Business Review, 23(1), 55–62.
Dimitris, K. D., Dimitrissotiros, & Koronakos, G. (2015). A network DEA approach for series multi-stage processes. Omega, 61, 35–48.
Elbanna, S., Eid, R., & Kamel, H. (2015). Measuring hotel performance using the balanced scorecard: A theoretical construct development and its empirical validation. International Journal of Hospitality Management, 51, 105–114.
Engelen, A., Flatten, T. C., Thalmann, J., & Brettel, M. (2014). The effect of organizational culture on entrepreneurial orientation: A comparison between Germany and Thailand. Journal of Small Business Management, 52(4), 732–752.
Fuentes-Fuentes, M. M., Bojica, A. M., & Ruiz-Arroyo, M. (2015). Entrepreneurial orientation and knowledge acquisition: Effects on performance in the specific context of women-owned firms. International Entrepreneurship and Management Journal, 11, 695–717.
Kao, S. C., & Wu, C. H. (2016). The role of creation mode and social networking mode in knowledge creation performance: Mediation effect of creation process. Information & Management, 53, 803–816.
Lu, W. M., Wang, W. K., & Kweh, Q. L. (2014). Intellectual capital and performance in the Chinese life insurance industry. Omega, 42, 65–74.
O'Connor, C., & Kelly, S. (2017). Facilitating knowledge management through filtered big data: SME competitiveness in an agri-food sector. Journal of Knowledge Management, 21(1), 156–179.
Pak, Y. S., Ra, W., & Lee, J. M. (2015). An integrated multi-stage model of knowledge management in international joint ventures: Identifying a trigger for knowledge exploration and knowledge harvest. Journal of World Business, 50(1), 180–191.
Roberto, C., & Emilio, E. (2017). Using knowledge management systems: A taxonomy of SME strategies. International Journal of Information Management, 37(1), 1551–1562.
Santanu, M., & Dastidar, S. G. (2014). A DEA investigation of efficiency of the Indian general insurance during recession. Journal of Advances in Management Research, 11(1), 115–136.
Sinha, R. P. (2015). A dynamic DEA model for Indian life insurance companies. Global Business Review, 16(2), 1–12.
Stoica, O., Mehdian, S., & Sargu, A. (2015). The impact of internet banking on the performance of Romanian banks: DEA and PCA approach. Procedia Economics and Finance, 20, 610–622.
Tone, K., & Tsutsui, M. (2014). Dynamic DEA with network structure: A slacks-based measure approach. Omega, 42(1), 124–131.
Wang, K., Huang, W., Wu, J., & Liu, Y. N. (2014). Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA. Omega, 44, 5–20.
Yang, L. (2015). Analyzing operating performance of state-owned enterprises: Evidence from Taiwan Tobacco and Liquor Corporation. Journal of Management & Systems, 22(2), 229–248.
Zhang, M. (2015). Understanding the relationships between interest in online math games and academic performance. Journal of Computer Assisted Learning, 31(3), 254–267.
