发布于:2018-12-12 星期三 16:33:49 点击数:178

湖南株洲人,管理学博士,现任湖南大学工商管理学院副教授, “岳麓学者”,硕士研究生导师,工商管理系主任。   

移动电话:18711103958、E-mail:lijian01@hnu.edu.cn; lijian_phd@126.com


李健,湖南株洲人,管理学博士,现任湖南大学工商管理学院副教授(“岳麓学者”晨星B岗),硕士研究生导师,工商管理系主任。目前已在国内外管理学科重点学术期刊发表学术论文30余篇,其中SSCI收录国际期刊论文20篇,CSSCI收录12篇(其中重点期刊2篇,人大复印资料全文复印论文2篇)。发表刊物包括Research Policy,Regional Studies,R&D Management,International Business Review,Journal of Technology Transfer,Journal of Engineering and Technology Management,Scientometrics, Technology Analysis & Strategic Management,《经济学动态》、《科研管理》、《管理学报》、《科学学与科学技术管理》等。作为项目负责人主持国家自然科学基金青年项目“跨界知识搜索渠道与策略组合对企业创新绩效的作用机理研究(71502056)”,作为核心骨干成员参与国家自然科学基金重点项目“自主创新背景下我国高技术产业标准化战略与政策研究(71233002)”,国家自然科学基金项目“创业团队知识配置、动态能力生成与绩效评价研究(71673082)。



2011-2014: 博士/PhD, 伦敦大学玛丽女王学院/Queen Mary, University of London

2010-2011: 博士/PhD, 湖南大学工商管理学院/Business School of Hunan University

2008-2010: 硕士/MA, 湖南大学工商管理学院/Business School of Hunan University

2004-2008: 本科/BA, 湘潭大学商学院/Business School of Xiangtan University



2011-2014  研究助理/RA, 伦敦大学玛丽女王学院/Queen Mary, University of London



作为以下国际期刊的编委会成员/Acted as an editorial member for the following journals

International Journal of Human Resource Management

作为以下国际期刊的同行评审/Acted as a peer reviewer for the following journals

Research Policy

International Business Review

Journal of Knowledge Management

Technology Analysis & Strategic Management

International Journal of Human Resource Management


Asia Pacific Journal of Human Resource Management

Asian Business & Management

Chinese Management Studies











[1]Zhang W., ZhaZhang W., Zhao Y., Wang D., Wang H., Li J. Ambidextrous search and product innovation: Moderating effects of resource and structural attributes, Journal of Technology Transfer, accepted. (SSCI, Impact factor: 2.631, M Q2)

Abstract: This study examines how ambidextrous search strategy that conjointly pursuing technology search and market search affects innovation, as well as under what circumstances this relationship would be improved. In particular, we develop a model suggesting that a firm’s resource and structural attributes significantly shape the relationship between ambidextrous search and innovation. Using a data set composed of 233 firms, this study finds that ambidextrous search in terms of the interaction between technology search and market search plays a negative role in product innovation. Further, the relationship between ambidextrous search and innovation is positively moderated when the firm has more slack resources, or is less formalized. In particular, the firm characterized by high organizational slack and low formalization is the best at gaining innovation benefits of ambidextrous search. The findings enrich the discipline’s knowledge on the implications of search patterns especially regarding the question of how to maximize their contributions to product innovation.

[2]Yu Y., Yuan L., Li J. Knowledge search modes and innovation performance: The moderating role of strategic R&D orientation. Technology Analysis & Strategic Management, accepted. (Corresponding author, SSCI, Impact factor: 1.273, ABS-Two Stars, M Q3)

Abstract: Prior studies implicitly assume that knowledge search modes are homogeneous, and little is known about the impacts of specific search modes on innovation. Drawing upon the knowledge search literature, we differentiate among four types of search modes and analyze their impacts on innovation performance. Moreover, we enrich the theoretical framework by recognising the moderating role of strategic R&D orientation in affecting the relationship between specific types of search modes and innovation performance. Using a unique dataset of 418 Chinese firms, we find that, except for inward licensing, value chain search, capital search, and industry-university-research institute collaboration (IUR collaboration) exert positive effects on innovation performance. Moreover, the empirical results indicate that a strategic R&D orientation amplifies the positive effects of value chain search and IUR collaboration while it mitigates the negative effect of inward licensing on innovation performance. Article ahead-of-print.    

[3]Dai H., Zeng D., Qualls W., Li J. Do social ties matter for the emergence of dominant design? The moderating roles of technological turbulence and IRP enforcement. Journal of Engineering and Technology Management, 2018, 47, 96-109. (Corresponding author, SSCI, Impact factor: 2.419, M Q2)

Abstract: Social ties can help firms gain and secure resources. However, it is unclear whether social ties facilitate or inhibit firms’ decision-making on dominant design generation. Our study distinguishes the variant roles of business ties and political ties and examines how contextual factors moderate the effects of these ties. Based on archival data of 443 Chinese automotive firms embedded in standard alliances during the period 2005–2009, we find that weak business ties enhance firms’ influence on dominant design, and the positive effect of the number of business ties is even stronger when firms operate in a context with higher IRP enforcement. Moreover, the empirical results indicate that when either the IPR enforcement or the technological turbulence is high, establishing political ties is detrimental to a firm’s influence on dominant design. Our findings add new insights to the research on social capital, dominant design, and open innovation in the automotive industry. The findings also provide significant implications for managers by showing how they can utilize social ties to influence the emergence of dominant designs in an industry.    

[4]Zhou X., Shan M., Li J. R&D Strategy and Innovation Performance: The Role of Standardization,Technology Analysis & Strategic Management, 2018, 30:7, 778-792. (Corresponding author, SSCI, Impact factor: 1.273, ABS-Two Stars, M Q3)

Abstract: Firms now increasingly recognise the important role of R&D strategy in building technological advantage. However, few attempts have linked standardisation with specific R&D strategies in explaining innovation performance. To bridge this gap, this study empirically examines the relationships between R&D strategies, standardisation, and firms’ innovation performance. Based on a sample of 371 firms in China, we use structural equation modelling (SEM) and find that novelty-oriented R&D strategy generates greater accumulation of standardisation knowledge and standards diversity, while R&D openness only positively relates to this standardisation knowledge accumulation. Moreover, standardisation knowledge accumulation is positively related to both administrative and technical innovation performance, while a greater variety of standards only leads to higher administrative innovativeness. More importantly, our results reveal that accumulation of standardisation knowledge mediates the relationships between R&D novelty and administrative and technical innovation performances. Both the theoretical and practical implications that arise from these findings are discussed.

[5]Xu L., Li J., Zhou X. Exploring new knowledge through research collaboration: the moderation of the global and local cohesion of knowledge networks, Journal of Technology Transfer, forthcoming. (Corresponding author, SSCI, Impact factor: 2.631, M Q2)

Abstract: Research collaboration has long been suggested as an effective way to obtain innovative outcomes. Nevertheless, relatively little is known about whether and how different research collaboration strategies inspire or inhibit firms in the exploration of new knowledge. Drawing upon the research collaboration literature and social network theory, this study examines the effects of two specific collaboration strategies (i.e., collaborating widely and collaborating deeply) on new knowledge exploration by recognizing the moderating roles of the local and global cohesion of knowledge networks. We test our hypotheses by using a manually collected sample of 730 Chinese vehicle or parts manufacturers during the period between 1985 and 2011. The empirical results suggest the positive effects of research collaboration breadth and collaboration depth on new knowledge exploration and that the global cohesion of intra-organizational knowledge networks magnifies the effect of collaboration breadth, while local cohesion negatively moderates the effect of collaboration depth on new knowledge exploration. These findings jointly indicate that a research collaboration strategy in combination with the structure of a knowledge base is crucial for obtaining novel knowledge.

[6]Xu L., Li J., Zeng D. How does knowledge network affect a firm’s explorative innovation? The moderating role of R&D collaborations, Technology Analysis & Strategic Management, 2017, 29:9, 973-987. (Corresponding author, SSCI, Impact factor: 1.273, ABS-Two Stars, M Q3)

Abstract: Innovation is a process of knowledge recombination [Fleming, L. 2001. “Recombinant Uncertainty in Technological Search.” Management Science 47: 119 p]. Extant literature highlights the importance of a firm’s knowledge base for innovation, while little is known about the structure of a firm’s knowledge base and how it affects the firm’s explorative innovation. Based upon the perspective of network analysis, we portray a firm’s knowledge base as an intra-organisational knowledge network and examine the effects of two structural features of the network – density and centralisation – on the firms’ exploratory innovation. Using a manual collected dataset of 738 Chinese automobile manufacturers, we find that a firm explores fewer new knowledge elements when the firm holds a dense knowledge network or a centralised knowledge network. More importantly, with the increase of a firm’s R&D collaborations with external actors, the negative effect of density is mitigated while the negative effect of centralisation is reinforced. Both theoretical and practical implications are discussed.

[7]Li J., Dylan S., Ning L. Inward FDI spillovers and innovation capabilities in Chinese business: exploring the moderating role of local industrial externalities, Technology Analysis & Strategic Management, 2017, 29:8, 932-945. (Corresponding author, SSCI, Impact factor: 1.273, ABS-Two Stars, M Q3)

Abstract: It is generally believed foreign direct investment (FDI) has spillover effects which can affect the innovation capabilities of local firms in host countries. Comparatively little, however, is known about the contingent local contextual factors that influence how these FDI spillovers can be captured. Integrating the literature on FDI knowledge spillovers with that on inter- and intra-industrial externalities, we explore how local industrial agglomeration moderates the effect of FDI knowledge spillovers on innovation in the emerging market context of China. Empirical estimates, based on panel data of 1610 listed indigenous Chinese firms recorded between 2000 and 2010, indicate that such spillovers are more easily captured in industrially diverse settings. By contrast, industrial specialisation negatively moderates this relationship. Theoretical and practical implications are discussed.

[8]Yuan L., Tu Y., Li J., Ning L. The Impact of Team Ability Disparity and Reward Structure on Performance, Systems Research and Behavioral Science, online published. (SSCI, Impact factor: 1.034, ABS-Two Stars, M Q3)

Abstract: We examine how the performance of teams and of the individuals within them varies with disparity in team member ability and with the reward structure in place. We carry out an experiment on a sample of 240 participants which first played a Counter‐Strike Game to determine their level of proficiency, then played in three‐person teams made up of a high, a medium and a low level performer. We observed the effect of both a competitive reward and of a cooperative one on team performance. The results indicate that when the disparity in ability is large, teams compensated using a competitive reward outperform those subject to a cooperative reward, but when the disparity in ability is small, reward structure has no influence on team performance. Hierarchical Linear Modelling (HLM) analysis confirms these findings at the individual level. Our study has implications for optimal team composition and the structuring of rewards.

[9]Ning L., Li J. Joint problem solving and organizational learning capacity in new product innovation, R&D Management, online published.(Corresponding author, Impact factor 1.19, M Q3)

Abstract: There is a growing need for firms to acquire knowledge externally, but the process has become increasingly complicated. This article studies the mediating roles of the three process dimensions of organizational learning capacity (OLC), namely, knowledge acquisition, transformation, and application capabilities, in the context of a joint problem solving (JPS) arrangement with external collaborators for new product innovation. They employed the structural equation modelling method and analyse a sample of 331 high‐tech manufacturers in China. Their results supported a conceptual model that shows (i) JPS exerts a positive impact on knowledge acquisition and transformation capabilities; (ii) these two capabilities promote knowledge application capacity; (iii) knowledge acquisition alone, and the combination of application and transformation capabilities, mediate the effect of JPS on both innovation efficacy and efficiency. Knowledge acquisition and application capabilities also jointly mediate the effect of JPS on innovation efficacy. They added to the existing literature by highlighting the need to consider the mediating roles of different OLC dimensions and the external context of JPS for learning capacity acquisition. Our model provides a practical framework for managers to better understand and influence OLC dimensions to improve innovation when engaging in JPS.

[10]Ning L., Wang F., Li J. Urban innovation, regional externalities of foreign direct investment and industrial agglomeration: Evidence from Chinese cities, Research Policy, 2016, 45(4): 830-843. (Corresponding author, SSCI, Impact factor: 3.117, ABS-Four Stars, M&E Q1)

Abstract: This paper examines how urban industrial agglomeration interacts with the intra- and inter-regional externalities resulting from foreign direct investment (FDI) in city innovation in an emerging economy. It adds to the existing literature by highlighting the importance of considering both spatial proximity and urban industrial structures in understanding FDI knowledge spillovers in urban areas. Using a unique and manually collected city-level dataset for the period from 2005 to 2011 in China, our empirical results confirm the role of FDI as an important external knowledge source in the context of a developing country. The spatial externalities of FDI, however, are limited to the city of investment. We further show that FDI spatial spillovers are contingent upon the intensity of industrial agglomeration within and across cities. Specialized industrial structures absorb FDI knowledge spillovers within the cities and also facilitate their dissemination to nearby cities, while diversified ones provide a vibrant environment for local innovation. Our empirical evidence has important implications for both theories and policy making.

[11]Li J., Ning L., Sutherland, D., Strange, R. Outward foreign direct investment and domestic innovation performance: Evidence from China, International Business Review, 2016, 25, 1010-1019. (Corresponding author, SSCI, Impact factor: 1.713, ABS-Three Stars, B Q2)

Abstract: Recent years have witnessed substantial outward foreign direct investment (OFDI) from many emerging economies. Should the governments of these economies encourage OFDI in order to promote domestic innovation? Much OFDI by emerging economy multinational enterprises (EMNEs) has been undertaken to acquire strategic assets overseas, but do these acquisitions bring innovation benefits at home? The empirical analysis presented in this paper considers the effects of OFDI on regional innovation performance, using a panel of Chinese provinces, and finds that OFDI has a very significant impact on domestic innovation. Furthermore, we also identify three contingent factors – absorptive capacity, foreign presence, and the competition intensity of the local market – that moderate the impact of OFDI on innovation performance.

[12]Li J., Yuan L., Ning L., Li Y. Knowledge sharing and affective commitment: the mediating role of psychological ownership, Journal of Knowledge Management, 2015, 19(6): 1146-1166. (Corresponding author, SSCI, Impact factor: 1.586, ABS-Two Stars, INF Q1, M Q2)

Abstract: Purpose – The purpose of this paper is to investigate the meditating role of psychological ownership which includes both organisation-based psychological ownership (OPO) and knowledge-based psychological ownership (KPO) on the relationship between affective commitment and knowledge sharing.

Design/methodology/approach – This paper is an empirical study based on structural equation modelling, with a sample of 293 employees from 31 high-technology firms in China.

Findings – The result indicated that affective commitment had a significant positive effect on OPO but no effect on KPO; OPO was positively related to both common and key knowledge sharing, while KPO exerted a negative impact on both; common knowledge sharing was positively related to key knowledge sharing; the relationship between affective commitment and key knowledge sharing was multi-mediated by OPO and common knowledge sharing.

[13]Yuan L., Xiao S., Li J., Chen C., Ning L. Leader-member Exchange Differentiation and Team Member Performance: The Moderating Role of the Perception of Organisational Politics, International Journal of Manpower, 2016, 37(8): 1347-1364. (SSCI, Impact factor: 0.471, ABS-Two Stars, M Q4)

Abstract: Purpose – The purpose of this paper is to examine the relationship between LMX differentiation and team members’ job performance. The conceptual model developed in this paper also investigates the moderating role of the perception of organizational politics (POP) in affecting the association between LMX differentiation and team members’ job performance.

Design/methodology/approach – We collect data using a survey from 32 Chinese firms. The questionnaire includes scales measuring LMX, POP, job performance, and demographic variables. The final sample consists of 122 teams with 561 employees. The hypothesized relationships among variables were assessed by using Hierarchical Linear Modeling (HLM).

Findings - Our results show that the higher LMX differentiation the lower level of team members’ contextual performance. We also find that POP significantly positively moderates the relationships between LMX differentiation and team members’ contextual and task performances.

Research limitations/implications – The conceptual model developed and verified in this paper provides essential insights for the research on LMX and job performance. Future studies are suggested to collect cross-national data to examine the conclusions of this study.

Originality/value – The association between LMX differentiation and team members’ job performance is moderated by the degree of POP.

[14]Wang Y., Pan X., Ning L., Li J. Does technological diversification matter for regional innovation capability? Evidence from China, Technology Analysis & Strategic Management, 2016, 28(3): 323-334 .(Corresponding author, SSCI, Impact factor: 0.942, M Q3)

Abstract: This study empirically examines the relationship between technological diversification and regional innovation capability (RIC) based on 30 Chinese provinces from 2001 to 2011. Our results support the positive role of technological diversification in affecting RIC. We also investigate the moderating effects of R&D investments and openness on the diversification-innovation relationship. The results indicate that R&D investments exert a positive effect on RIC, while openness, measured as foreign direct investment, exerts a negative influence on RIC. We thus argue that the positive diversification-innovation relationship is contingent on multiple factors. Both policy and practical implications are discussed.

[15]Wang Y., Ning L., Li J., Prevezer, M. Foreign Direct Investment Spillovers and the Geography of Innovation in Chinese Regions: The Role of Regional Industrial Specialization and Diversity, Regional Studies, 2016, 50(5): 805-822. (Corresponding author, SSCI, Impact factor: 2.068, E Q1) 

Abstract: Foreign direct investment (FDI) brings technology spillovers, but little is known about the interactive effects of industrial structure at the regional level on how FDI works to bring spillovers. This paper brings together technological spillovers from FDI with impacts on regional innovation through industrial structure. This is important for China as a recipient of FDI which is both regionally skewed and unevenly distributed. Results indicate that inward FDI has positive effects on regional innovation, but that industrial specialization diminishes the positive effects of FDI whilst a more diversified industrial structure enhances spillovers from inward FDI.

[16]Wang Y., Pan X., Ning L., Li J., Chen J. Technology Exchange Patterns in China: An Analysis of Regional Data, Journal of Technology Transfer, 2015, 40(2): 252-272. (Corresponding author, SSCI, Impact factor: 1.181, M Q3)

Abstract: There is much interest in technology exchange in the literature, but relatively little research directly provides understanding of technology exchange patterns at a regional level within a country. This study uses a unique dataset of Chinese patent licensing to study technology exchange patterns in thirty Chinese provinces since 2000. Our results indicate that five distinct technology exchange patterns have recently emerged in China: importers, exporters, self-sustainers, active generalists, and isolationists. To illustrate a refined map of these exchange patterns, we used a blockmodel analysis. We found two leading blocks in China that are active in technology exchange within and across blocks. Although many less-developed provinces have begun participating in regional technology exchange networks, the scale of technology exchange in these provinces is lower, and they are more active as net technology importers. Our results provide the basis for firms to form technology strategies and for governors to promote the growth of regional technology exchanges.

[17]Li, J., Dylan S., Ning L. Firm ownership, industrial structure and regional innovation performance in China’s provinces, Technology Analysis & Strategic Management, 2014, 26(9): 1001-1022. (First and corresponding author, SSCI, Impact factor: 0.942, M Q3)

Abstract: This paper uses panel data between 2000 and 2010 to explore how firm ownership and regional industrial structures contribute to regional innovation performance in Chinese provinces. Specifically, we explore how the extent of specialisation and diversification in regional industrial structures at the province level fosters both Marshall-Arrow-Romer and Jacobs spillovers, as well as how foreign and state ownership influence regional innovation. We find: (i) China's regional innovation systems benefit from Jacobs but not MAR externalities, with the former spurring higher quality innovation in the form of increased invention patenting; (ii) state-owned enterprises and foreign-invested enterprises advance local innovation, with the latter again fostering higher quality innovation; and (iii) a convergence towards a combination of low specialisation and high diversity in provincial industrial structure is taking place between China's more developed inland coastal provinces and less developed inland provinces. Implications and suggestions for policy-making and future research are discussed.

[18]Wang Y., Li J., Ning L., Zeng D., Gu X. Dynamic patterns of technology collaboration: A case study of the Chinese automobile industry, 1985-2010, Scientometrics, 2014, 101(1): 663-683. (Corresponding author, SSCI, Impact factor: 2.133, I Q1)

Abstract: To investigate patterns of technology collaboration within the Chinese automobile industry, this study employs a unique dataset of patent applications that reveal a record of 64,938 collaborative relations in the industry during the period from 1985 to 2010. Our results indicate that over 60 % of the total collaborations were conducted after China entered the WTO. The invention and utility types of patents account for 98 % of the total collaborations throughout the sample period. Using a network analysis method, we find that the key differences between domestic enterprises collaborating with indigenous enterprises (DD collaboration) and with foreign firms (DF collaboration) are in patent types and technology domains. The DF network is also denser and more centralized than the DD network, although the amount of nodes and links of the DD network is greater than that of the DF collaboration network. The analysis and visualization of the collaboration networks and corresponding largest components reveal that a large number of domestic enterprises prefer to collaborate with top global automobile manufacturers. We also find that a number of universities have become key players in the collaborations among industry, universities and research institutes. This study provides a deeper understanding of technology collaborations from various perspectives and also highlights several avenues for future research.

[19]Yuan L., Yu Y., Li J., Ning L. Occupational commitment, turnover intention and industrial relations: Evidence from China, Chinese Management Studies, 2014, 8(1): 66-84. (Corresponding author, SSCI, Impact factor: 0.327, M Q4)

Abstract: Purpose - The aim of this research is to study the relationships between occupational commitment, industrial relations and turnover intention, as well as the moderating role of turnover intention. 

Design/methodology/approach - Empirical data for this study were collected using a questionnaire survey method. A total of 600 copies of the questionnaire were sent out by post or email to firms and 429 valid responses were finally obtained, yielding a response rate of approximately 71.5 per cent. 

Findings - Except for the limited choices commitment, affective commitment, normative commitment and cumulative costs commitment are found to be significantly and positively related to industrial relations. Employees' turnover intention may be detrimental to industrial relations, as our results show that it has a negative correlation with industrial relations. We also find that it negatively moderates the relationship between occupational commitment and industrial relations. 

Practical implications - Our results shed light on human resource management practices in Chinese firms, and managerial implications are made to enhance Chinese employees' occupational commitment. 

Originality/value - This study extends the current literature and provides new insights into the relationship between the four dimensions of occupational commitment and industrial relations in the Chinese context. It also provides an understanding that this relationship is conditioned on employees' turnover intention.

[20]Yuan L., Li J. Occupational commitment and labor relations in firms: an empirical study in China, Chinese Management Studies, 2012, 6(2): 300-317. (Corresponding author, SSCI, Impact factor: 0.327, M Q4)

Abstract: Purpose - The purpose of this paper is to fill the gap in the existing literature regarding relationships between occupational commitment and labor relations in the Chinese context, particularly in Chinese firm settings. 

Design/methodology/approach - Based on well-defined concepts and instruments, the data were collected from 402 human resources (HR) workers in 35 firms, mainly located in Yangtze River Delta, Pearl River Delta and Hunan Province, China. 

Findings - The occupational commitment for HR workers in Chinese firms can be divided in four dimensions: affective commitment, normative commitment, accumulated costs and limited alternatives. There are positive interrelations between the four dimensions of occupational commitment and labor relations. Also, there is a significant correlation among the three-way interactive terms with labor relations. 

Research limitations/implications - Although the results of this paper suggest that the four-dimensional model of occupational commitment can be employed to account the variation of labor relations in China, there is a need to use other samples and additional noted research design variables, e.g. organizational commitment and intent to leave one's job, to explore labor relations more comprehensively and deeply. 

Originality/value - Theoretically, the paper serves as a pioneer research for indigenizing the concept of occupational commitment in the Chinese context, and fills the gap in the existing literature of the subjects being studied. Practically, the results and recommendations in the paper will be useful to those involved in the field of HR management in firms in China.

[21]陈培祯,曾德明,李健. 技术多元化对企业新产品开发绩效的影响,科学学研究, 2018, 36(6): 1070-1077. (CSSCI)


[22]李健,余悦. 产业结构动态外部性对区域创新能力影响实证研究, 科研管理, 2018, 39(S1): 217-225. (CSSCI)


[23]袁凌,李博涛,李健.伦理型领导对员工犬儒主义的影响——基于心理需要和集体主义倾向的作用, 华东经济管理, 2017, 31(7): 5-19. (CSSCI)


[24]徐露允,曾德明,李健. 知识网络中心势、知识多元化对企业二元式创新绩效的影响, 管理学报, 2017, 14(2):221-228 (CSSCI)


[25]陈立勇,刘梅,曾德明,李健. 协作研发网络成员间重复合作对二元式创新的影响——技术能力与环境动态性的调节作用, 科技管理研究, 2016, (17): 23-28. (CSSCI)


[26]袁凌,李静,李健. 差序式领导对员工创新行为的影响——基于领导创新期望的调节作用, 科技进步与对策, 2016, 33(10): 110-115. (CSSCI)


[27]袁凌,余悦,李健. 基于信任修复的企业劳资冲突解决策略研究. 华东经济管理, 2015, (2): 158-163. (CSSCI) 该论文被人大复印资料全文复印


[28]曾德明,刘珊珊,李健. 企业研发国际化及网络位置对创新绩效影响研究——基于中国汽车产业上市公司的分析. 软科学, 2014, (12): 1-6. (CSSCI)


[29]袁凌,贾玲玲,李健. 企业劳动关系的员工满意度调查与评价. 系统工程, 2014, (5): 29-36 (CSSCI)


[30]李健. R&D国际化视角下我国协作研发网络的演化过程与结构特征研究. 科学学与科学技术管理, 2013, (9): (CSSCI)


[31]袁凌,李健,许丹. 企业劳动关系研究新进展. 经济学动态, 2012. (2): 110-115. (CSSCI) 该论文被人大复印资料全文复印


[32]袁凌,李健,郑丽芳. 国有企业知识型员工敬业度结构模型及其实证研究. 科技进步与对策, 2012. (3): 150-155. (CSSCI)


[33]袁凌,李健. 基于价值匹配的知识型员工劳动关系维护机制研究. 科技进步与对策, 2010. 27(23): 147-150. (CSSCI)


[34]袁凌,李健. 中国企业劳资关系内在属性与冲突处理研究. 华东经济管理, 2010. (2): 55-58. (CSSCI) 该论文被评为华东经济管理杂志社年度优秀论文一等奖





国家自然科学基金青年项目:跨界知识搜索渠道与策略组合对企业创新绩效的作用机理研究(71502056),2016-2018. 项目主持人


[1]国家自然科学重点基金项目:自主创新背景下我国高技术产业标准化战略与政策研究(71233002),主持人:曾德明,2013-2016. 主要研究人员.

[2]国家社会科学基金项目:转轨时期中国企业的劳动关系研究(2009BJL028),主持人:袁凌,2010-2012. 主要研究人员.

[3]国家软科学项目:转轨时期中国企业的劳动关系研究(2009GXS5B064),主持人:袁凌,2009-2011. 主要研究人员.