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| Research on Structural Dimensions for Integration Service Ability of Regional Science & Technology Resource Sharing Platform |
| Li Yue,Guo Bobo,Wu Chuan,Yu Liqun |
| (School of Economics and Management, Harbin University of Science and Technology, Harbin 150080, China) |
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Abstract Now, our country's comprehensive deepening of the reform of the scientific and technological system has entered a critical stage. In order to promote the development of strategic emerging industries and gain a competitive advantage in global technology competition, it is necessary to gather and integrate scientific and technological resources, and give full play to the innovative service function and supporting role of the scientific and technological platform. The science & technology resource sharing platform is an important carrier for countries and regions to gather science and technology resources and innovative service needs. Cultivating and improving the platform's integration service capabilities is an effective way and strategic choice to give play to the innovation service support and leverage effect of the science & technology resource sharing platform. However, with the diversification, complexity and individuation trend of industrial innovation demand becoming increasingly obvious, the scale of scientific and technological innovation resources gathered by the scientific and technological resources sharing platform has continued to grow, and the sharing platform gradually encountered problems such as operating efficiency, low service matching degree and insufficient demand for innovation services. Most of the platforms are in a passive service state, which means the platforms can only provide customers with relatively primitive resources. The root reason lies in the lack of platform integration service capabilities and the incomplete integration service model. Therefore in order to comprehensively cultivate and improve the integration service capabilities of the regional science and technology resource sharing platform, the academic circles and relevant government departments need to answer the following urgent question: how should we define the integration service capabilities of the regional science and technology resource sharing platform, deconstruct its structural dimensions, and establish an integration service ability evaluation system to improve its service performance?#br#This article clearly defines the connotation and characteristics of the integration service of the regional science and technology resource sharing platform. It is considered that the integration service of regional scientific and technological resources sharing platform refers to a new service model under the big data environment, which aims at the demand for innovative resources and services in different stages of the strategic emerging industries' innovation process, such as research and development, technological transformation, marketization, industrialization, etc., and provides different types of users, such as scientific and technological enterprises, universities, research institutes and other users, with systematic solutions to innovation and entrepreneurship problems through resource aggregation, integration, sharing and service innovation. The integration service model is mainly characterized by systematization of service solutions, initiative of service methods, one-stop service process, diversity of service objects, individuation of service requirements, etc. Using ISM to identify the key elements of the sharing platform's integration service capabilities and their internal relationships, it is found that the ISM of the sharing platform's integration service capabilities presents a four-level hierarchical directed hierarchy. Based on this, the paper puts forward the structural dimensions and core evaluation indicators of the sharing platform's integration service capability, and then selects Guangdong, Shanghai, Beijing and Heilongjiang provinces as typical cases for comparative analysis.#br#The results show that the integration service capability of regional science and technology resource sharing platform consists of four dimensions: resource integration capability, demand integration capability, service matching capability and operation management capability. The comparative results of Guangdong, Shanghai, Beijing and Heilongjiang science and technology resources sharing service platforms show that each region has its own advantages and characteristics in terms of science and technology resources conditions, science and technology innovation level, policy support, platform construction and operation mode and service mode. The regional science and technology resources sharing platform should identify and focus on its leading advantages, further cultivate the platform integration service capability, and continuously improve the platform's comprehensive advantages to provide continuous service support for the regional industries' innovation and development.#br#The research in this paper points out the direction for the platform to continuously improve its integration service capability, and provides an effective decision-making basis for the regional scientific and technological resources sharing platform to better serve the innovation and sustainable development of strategic emerging industries. In addition, in the face of the increasingly complicated, professional and refined development trend of innovation services and the rapid development of digital technology application and digital services, the follow-up study considers embedding digital technology into the whole process of integration service management of the regional scientific and technological resources sharing platform, constructing a digital platform, and cultivating and enhancing the digital integration service capability of the sharing platform from the perspective of deep integration of innovation and service. At the same time, we will further enrich and refine the evaluation index system of the digital integration service capability of the regional scientific and technological resources sharing platform, ensure the systematicness, scientificity, comprehensiveness and operability of the index system, and provide methodological guidance and objective basis to fully understand the dynamic service performance of the sharing platform.#br#
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Received: 03 September 2021
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| [1] 喻登科. 科技成果转化知识管理绩效评价研究[M]. 北京：经济管理出版社, 2021：13-17.[2] 王宏起,李佳,李玥. 基于平台的科技资源共享服务范式演进机理研究[J]. 中国软科学,2019,34(11):153-165.[3] 邓君,张巨峰,孟欣欣,等. 基于需求驱动下的档案用户服务期望与服务质量关系模型构建[J]. 图书情报工作,2016,60(16):14-25.[4] 周宏虹,伍诗瑜. 我国科技信息资源共享平台建设现状[J]. 科技管理研究,2019,39(5):174-178.[5] 高思芃,姜红,张絮. 区域科技资源协同度发展趋势及生态化治理机制研究[J]. 科技进步与对策,2020,37(17):36-45.[6] 王宏起,赵敏,王雪原,等.科技资源共享服务平台集成管理研究:以黑龙江省科技创新创业共享服务平台为例[M].北京:科学出版社, 2013: 95-100.[7] NDUBISI N O,DAYAN MUMIN,YENIARAS V,et al. The effects of complementarity of knowledge and capabilities on joint innovation capabilities and service innovation:the role of competitive intensity and demand uncertainty[J]. Industrial Marketing Management,2020,89:196-208.[8] FAN Y,HUANG C,WANG Y,et al. Architecture and operational mechanisms of networked manufacturing integrated platform[J]. International Journal of Production Research,2005,43(12):2615-2629.[9] PAPPAS M,KARABATSOU V,MAVRIKIOS D,et al. Development of a web-based collaboration platform for manufacturing product and process design evaluation using virtual reality techniques[J]. International Journal of Computer Integrated Manufacturing,2006,19(8):805-814.[10] 李增辉,汪秀婷,牟仁艳. 面向我国重点产业的技术创新服务平台构建研究[J]. 科学学与科学技术管理,2012,33(3):33-38.[11] KRISHNAN V,GUPTA S. Appropriateness and impact of platform-based product development[J]. Management Science,2001,47(1):52-68.[12] REN J,RAGHUPATHI V,RAGHUPATHI W. Effect of crowd wisdom on pricing in the asset-based sharing platform:an attribute substitution perspective[J]. International Journal of Hospitality Management,2021,94:102874.[13] PILLA S. Integrated learning in engineering services:a conceptual framework[J]. World Academy of Science, Engineering and Technology, 2011, 80:564-572.[14] IRELAND R. Haematological malignancies:the rationale for integrated haematopathology services,key elements of organization and wider contribution to patient care[J]. Histopathology,2011,58(1):145-154.[15] 葛秋萍,李文香. 大数据背景下区域科技资源共享型智能服务平台模式研究[J]. 中国科技论坛,2020,36(6):103-111.[16] 赵隆华,侯瑞. 大数据下区域科技资源共享型智能服务平台模式研究[J]. 科学管理研究,2021,39(2):86-91.[17] ENG T Y. E-customer service capability and value creation[J]. The Service Industries Journal,2008,28(9):1293-1306.[18] 曹玉红,尤建新. 信息非对称环境下产业创新平台多方主体博弈分析[J]. 运筹与管理,2020,29(4):78-85.[19] 李文鹣,张洋,王涵,等. 动态激励下科技资源平台与小微企业创新行为演化博弈分析[J]. 工业工程与管理,2020,25(2):92-100.[20] 苏朝晖,苏梅青. 科技创新平台服务质量评价:对福州、厦门、泉州三地的实证研究[J]. 科技进步与对策,2015,32(4):92-99.[21] 李佳,王宏起,李玥,等. 基于组合赋权与规则的区域科技资源共享平台综合绩效评价研究:以黑龙江省科技创新创业共享服务平台为例[J]. 情报杂志,2018,37(8):172-179,132.[22] 刘家国,姜兴贺,赵金楼. 基于解释结构模型的供应链弹性系统研究[J]. 系统管理学报,2015,24(4):617-623.[23] MANDAL A,DESHMUKH S G. Vendor selection using interpretive structural modelling (ISM)[J]. International Journal of Operations & Production Management,1994,14(6):52-59.[24] 陈睿君,谢雅萍,黄丽清. ISM框架下连续创业行动影响因素分析[J]. 科学学研究,2020,38(9):1662-1669.[25] 李文博. 集群情景下小微企业协同创业网络演化关键影响因素研究:基于杭州软件集群情景的解释结构模型[J]. 科技进步与对策,2018,35(11):90-95. |
| [1] |
. [J]. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2015, 32(15): 20-25. |
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