• 中国科学学与科技政策研究会
  • 中国科学院科技战略咨询研究院
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

›› 2013, Vol. ›› Issue (7): 1109-1120.

• 技术创新与制度创新 • 上一篇    

创新政策激励机理的多案例研究——以利益相关者权利需求为中介

陈剑平1,盛亚2   

  1. 1. 浙江大学宁波理工学院
    2. 浙江工商大学
  • 收稿日期:2012-12-06 修回日期:2013-04-23 出版日期:2013-07-15 发布日期:2013-07-12
  • 通讯作者: 陈剑平
  • 基金资助:
    CoPS创新的风险生成机理及控制策略研究:利益相关者网络视角;创新网络的政策重构及其激励机制研究:利益相关者方法

A Multiple-case Study of Innovation Policy Motivating Mechanism – stakeholders’ ‘interest – power’ demand as the intermediary

  • Received:2012-12-06 Revised:2013-04-23 Online:2013-07-15 Published:2013-07-12

摘要: 本研究采取多案例研究思路并结合扎根理论编码方法,理论抽样并分析了具有代表性的企业样本,探索构建了基于创新利益相关者视角下创新政策对创新投入激励机理的框架模型。研究结果显示: 供给政策通过影响股东、竞争者、高管、员工与合作者的“利益-权力”需求进而影响其创新投入行为;环境政策而通过影响股东、竞争者的“利益-权力”需求进而影响其创新投入行为;需求政策通过影响股东、竞争者、合作者的“利益-权力”需求进而影响其创新投入行为。本研究将利益相关者理论引入创新政策激励机理研究领域,具有在研究视角、样本选择、研究方法以及已有研究成果整合等方面的创新意义。最后,本文对研究可能存在的局限性进行了阐述。

关键词: 创新政策, 激励机理, 利益相关者, 多案例分析, innovation policy, motivating mechanism, stakeholders, Multiple-case Study

Abstract: This research adopted the idea of multiple-case study combined with grounded theory coding method. After theoretical sampling of representative enterprises, we built an exploratory incentive mechanism mode of innovation policy to innovation input on perspective of innovation stakeholders. The results showed as flowing: By influencing on ”interests – power” demand of shareholders, competitors, executive officers, employees and partners, supply policy has an effect on the innovation investment behavior of these stakeholders. While environmental policy took an influence on shareholders’ and competitors’ innovation investment behavior via impacting their “interests – power” demand. At last, demand policy affected shareholders’, competitors’ and partners’ innovation investment behavior by means of influencing their “interests – power” demand. This research introduced stakeholder theory into the study of innovation policy motivating mechanism. The main innovative points of this research are research perspective, sample selection, research methods and integration of existing research. Finally, the possible limitations were expounded.

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