Scientia Agricultura Sinica ›› 2016, Vol. 49 ›› Issue (13): 2459-2468.doi: 10.3864/j.issn.0578-1752.2016.13.002

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

A Service Performance Evaluation System of National Crop Germplasm Resources Infrastructure

CHEN Li-na 1, 2, FANG Wei1, SI Hai-ping3, CHEN Yan-qing1, CAO Yong-sheng1   

  1. 1Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081
    2Department of Computer and Information Technology, Shangqiu Normal College, Shangqiu 476000, Henan
    3College of Information and Management Science, Henan Agricultural University, Zhengzhou 450002
  • Received:2016-01-31 Online:2016-07-01 Published:2016-07-01

Abstract: 【Objective】National crop germplasm infrastructure changed into full operational service stage during the 12th Five-Year Plan, it is necessary to construct an effective service performance evaluation system to evaluate the service effectiveness quantitatively, so that the management department can allocate funds according to how the service function was implemented, and ensure the infrastructure to work better and improve service effectiveness. 【Method】 On the basis of analyzing relevant factors that influence service effect, considering the reality of national crop germplasm infrastructure, this paper constructed a service performance evaluation system of multi-dimension and multi-index based on Analytic Hierarchy Process(AHP) , and it followed scientific, comprehensive, systematic and sustainable evaluation principles. Firstly, this paper referenced these service performance evaluation indexes drafted by National Science and Technology Infrastructure Center, classified and integrated them into different levels according to relevant factors, every level had different evaluation sub-indexes. Then the paper improved the classical AHP, calculated the index relative weight using expert scoring, averaging and normalizing method, and multiplied different level index weights to get actual weight. Finally, the paper weighted these index weights and their service numbers, so as to get overall evaluation value and part evaluation value.【Result】This paper analyzed the yearly service data of national crop germplasm infrastructure during the 12th Five-Year Plan quantitatively, the experimental results were as follows: (1) The overall service effectiveness was good and increased steadily during the 12th Five-Year Plan. (2) The integrated resources total increased continuously, but the growth rate was slow, and the resources number of evaluation and update was small. (3) The management service standardized orderly and had little change over the years. (4) The service effectiveness increased obviously, the amount of resources services and information services were large, while the amount of technology services was small. (5) The user group was relatively stable, and the proportion of serving company users was increasing. (6) The future service potential enhanced greatly. (7) The technology services and the typical services grew significantly, but the number was still limited. So, in the future, we should integrate more resources, accelerate evaluation and update of germplasm resources to meet the needs of different users, so as to improve service depth. We also should strengthen infrastructure, improve the management system, and make service personnel more professionalization to improve service efficiency. What’s more, we should still focus on serving company and individual users, enhance innovation capability to improve service breadth. Finally, we should attach importance to the role of high level scientific research brought by germplasm resources service, standardize subject service process to further improve service quality.【Conclusion】The service performance evaluation system of multi-dimension and multi-index can evaluate service effectiveness comprehensively, and the evaluation indexes embody service depth, effectiveness, breadth, quality and potential, etc.

Key words: crop germplasm resources infrastructure, analytic hierarchy process (AHP), service performance, evaluation index

[1]    张贵红, 朱悦. 中国科技平台建设的历程、现状及主要问题分析. 中国科技论坛, 2015(1): 17-21, 38.
Zhang G H, ZHU Y. The history, current situation and main problems of China’s construction of science and technology platform. Forum on Science and Technology in China, 2015(1): 17-21, 38. (in Chinese)
[2]    杜占元, 刘旭. 自然科技资源共享平台建设的理论与实践. 北京: 科学出版社, 2007.
Du Z Y, Liu X. Theory and Practice of Natural Science and Technology Resources Sharing Infrastructure Construction. Beijing: Science Press, 2007. (in Chinese)
[3]    ALWAER H, CLEMENTS-CROOME D J. Key performance indicators (KPIs) and priority setting in using the multi-attribute approach for assessing sustainable intelligent buildings. Building and Environment, 2010, 45(4): 799-807.
[4]    TAYLER W B. The balanced scorecard as a strategy-evaluation tool: The effects of implementation involvement and a causal-chain focus. The Accounting Review, 2010, 85(3): 1095-1117.
[5]    GRIGOROUDIS E, ORFANOUDAKI E, ZOPOUNIDIS C. Strategic performance measurement in a healthcare organization: A multiple criteria approach based on balanced scorecard. Omega, 2012, 40(1): 104-119.
[6]    郑造乾, 骆瑾瑜, 杨秀丽, 袁雍, 黄萍. 目标管理法与关键绩效指标法在抗菌药物临床使用管理中的应用研究. 中华医院感染学杂志,2015, 25(22): 5152-5154.
ZHENG Z Q, LUO J Y, YANG X L, YUAN Y, HUANG P. Application of management by objectives and key performance indicators in management of clinical of antibiotics. Chinese Journal of Nosocomiology, 2015, 25(22): 5152-5154. (in Chinese)
[7]    Chen S H, Chen Y T, Chen C M, Lee H C. Apply DEA approach regarding institution's goal for faculty performance evaluation. Journal of Information and Optimization Sciences, 2014, 35(4): 323-339.
[8]    Saranga H, Moser R. Performance evaluation of purchasing and supply management using value chain DEA approach. European Journal of Operational Research, 2010, 207(1): 197-205.
[9]    黄海霞, 张治河. 基于DEA模型的中国战略性新兴产业科技资源配置效率研究. 中国软科学, 2015(1): 150-159.
Huang H X, Zhang Z H. Research on science and technology resource allocation efficiency in Chinese emerging strategic industries based on DEA model. China Soft Science Magazine, 2015(1): 150-159. (in Chinese)
[10]   熊婵, 买忆媛, 何晓斌, 肖仁桥. 基于DEA方法的中国高科技创业企业运营效率研究. 管理科学, 2014, 27(2): 26-37.
Xiong C, Mai Y Y, He X B, Xiao R Q. A study on operational efficiency of hi-tech startups in China based on DEA methods. Journal of Management Science, 2014, 27(2): 26-37. (in Chinese)
[11]   Aktas A, Cebi S, Temiz I. A new evaluation model for service quality of health care systems based on AHP and information axiom. Journal of Intelligent and Fuzzy Systems (Applications in Engineering and Technology), 2015, 28(3): 1009-1021.
[12]   Lee S H. Using fuzzy AHP to develop intellectual capital evaluation model for assessing their performance contribution in a university. Expert Systems with Applications, 2010, 37(7): 4941-4947.
[13]   李萌, 蔡建飞. 基于层次分析法(AHP)的城市创新环境综合评价研究. 科技管理研究, 2012, 32(4): 50-53.
Li M, Cai J F. Comprehensive evaluation research on urban innovation environment based on AHP. Science and Technology Management Research, 2012, 32(4): 50-53. (in Chinese)
[14]   詹丽华. 基于 AHP 的 FRBR 应用于网络信息组织的评价指标体系. 情报科学, 2016(34): 55-58.
ZHAN L H. An AHP based evaluation index system of FRBR applied to network information organization. Information science, 2016(34): 55-58. (in Chinese)
[15]   Lam K C, Tao R, Lam M C K. A material supplier selection model for property developers using fuzzy principal component analysis. Automation in Construction, 2010, 19(5): 608-618.
[16]   NOORI R, KARBASSI A R, MOGHADDAMNIA A, HAN D, ZOKAEI-ASHTIANI M H, FAROKHNIA A, GOUSHEH M G. Assessment of input variables determination on the SVM model performance using PCA, Gamma test, and forward selection techniques for monthly stream flow prediction. Journal of Hydrology, 2011, 401(3): 177-189.
[17]   高静, 周坤福, 孙文明, 顾文彬. 基于模糊层次分析和综合评价的大型仪器综合效益评价. 实验室研究与探索, 2015, 34(4): 271-275.
Gao J, Zhou K F, Sun W M, Gu W B. A comprehensive benefit evaluation system based on FAHP and FCE for large-scale instruments. Research and Exploration in Laboratory, 2015, 34(4): 271-275. (in Chinese)
[18]   黄书君, 李坤权, 朱光怡. 基于模糊层次分析模型的高校室内空气质量评价与分析. 环境工程, 2014, 32(5): 90-94.
Huang S J, Li K Q, Zhu G Y. Evaluation and analysis on the indoor air quality of colleges based on fuzzy AHP. Environmental Engineering, 2014, 32(5): 90-94. (in Chinese)
[19]   Sun C C. A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert Systems with Applications, 2010, 37(12): 7745-7754.
[20]   周国强, 王雪青, 郭清娥. 基于改进DEA-FCA的信用评价方法. 工业工程, 2013, 16(6): 67-71.
Zhou G Q, Wang X Q, Guo Q E. Credit evaluation method based on modified DEA-FCA model. Industrial Engineering Journal, 2013, 16(6): 67-71. (in Chinese)
[21]   汪静, 杨友文, 李钢. 基于AHP-FCE的高校国防科技成果转化评价研究. 科技管理研究, 2014, 34(10): 48-52.
Wang J, Yang Y W, Li G. Evaluation study on the transformation efficiency of national defense scientifical and technological achievements in university based on AHP-FCE. Science and Technology Management Research, 2014, 34(10): 48-52. (in Chinese)
[22]   常浩. 基于 PCA-TOPSIS 法的电子商务环境下冷链物流综合绩效评价. 物流技术, 2014, 33(7): 159-163.
CHANG H. Comprehensive cold-chain logistics performance evaluation for e-commerce environment based on PCA-TOPSIS. Logistics Technology, 2014, 33(7): 159-163. (in Chinese)
[23]   Zhang Y. Developing a holistic model for digital library evaluation. Journal of the American Society for Information Science and Technology, 2010, 61(1): 88-110.
[24]   Tsakonas G, Papatheodorou C. An ontological representation of the digital library evaluation domain. Journal of the American Society for Information Science and Technology, 2011, 62(8): 1577-1593.
[25]   Yildiz S, Yildiz E. Service quality evaluation of restaurants using the AHP and TOPSIS method. Journal of Social and Administrative Sciences, 2015, 2(2): 53-61.
[26]   Adhikari A, Biswas I, Banerjee A, Sengupta P, Basu S. A DEA and regression based financial performance evaluation framework for public bus transport. Journal of Soft Computing and Decision Support Systems, 2015, 2(3): 9-13.
[27]   VanderWielen L M, Ozcan Y A. An assessment of the health care safety net performance evaluation of free clinics. Nonprofit and Voluntary Sector Quarterly, 2015, 44(3): 474-486.
[28]   王宏起, 王雪, 李玥. 区域科技资源共享平台服务绩效评价指标体系研究. 科学管理研究, 2015, 33(2): 48-51.
Wang H Q, Wang X, Li Y. Research on the service performance evaluation index system of regional science and technology resource sharing platform. Scientific Management Research, 2015, 33(2): 48-51. (in Chinese)
[29]   赵伟, 张新民, 彭洁, 屈宝强, 宋立荣. 网络环境下科技资源开放共享评价指标体系的构建. 中国科技资源导刊, 2013, 45(3): 10-15.
Zhao W, Zhang X M, Peng J, Qu B Q, Song L R. Establishing on open and sharing evaluation index system of scientific and technical resources in network environment. China Science and Technology Resources Review, 2013, 45(3): 10-15. (in Chinese)
[30]   付传君, 杨昌明. 矿产资源开发整合绩效评价指标体系与评价方法研究. 矿业研究与开发, 2011, 31(3): 113-116.
Fu C J, Yang C M. Research on the indicators system and approach of performance evaluation for the integration of mineral resources exploitation. Mining Research and Development, 2011, 31(3): 113-116. (in Chinese)
[31]   蒲筱哥, 乔亚铭, 胡亚敏. 基于网络分析法的高校图书馆电子资源服务绩效评价模型及实证研究. 大学图书馆学报, 2014(4): 41-49.
Pu X G, Qiao Y M, Hu Y M. An empirical study of performance evaluation of electronic resources in Chinese academic libraries based on analytic network process. Journal of Academic Library, 2014(4): 41-49. (in Chinese)
[32]   梁冬莹, 周庆梅, 王克奇. 基于层次分析法的数字资源服务绩效评价体系构建. 情报科学, 2013, 31(1): 78-81.
Liang D Y, Zhou Q M, Wang K Q. An improved AHP-based performance evaluation system of digital resources service. Information Science, 2013, 31(1): 78-81. (in Chinese)
[33]   梁茹, 李建霞, 刘颖, 刘云, 孙晓星. 高校图书馆数字资源综合服务能力评价. 大学图书馆学报, 2015(2): 38-46.
Liang R, Li J X, Liu Y, Liu Y, Sun X X. Evaluation study on digital resources comprehensive service ability in university library. Journal of Academic Library, 2015(2): 38-46. (in Chinese)
[34]   曹永生, 方沩. 国家农作物种质资源平台的建立和应用. 生物多样性, 2010, 18(5): 454-460.
Cao Y S, Fang W. Establishment and application of national crop germplasm resources infrastructure in China. Biodiversity Science, 2010, 18(5): 454-460. (in Chinese)
[35]   Lin C, Kou G, Ergu D. An improved statistical approach for consistency test in AHP. Annals of Operations Research, 2013, 211(1): 289-299.
[1] XIANG Wei, YI Zi-li, XIAO Liang, LIU Qing-bo, QIN Jing-ping. Construction of Energy Potential Evaluation System for Miscanthus [J]. Scientia Agricultura Sinica, 2016, 49(24): 4687-4700.
[2] ,,,,,,,,. Establishment of a risk assessment framework for analysis of the spread of highly pathogenic avian influenza [J]. Scientia Agricultura Sinica, 2006, 39(10): 2114-2117 .
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!