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论文编号：	6894
作者编号：	1120090692
上传时间：	2014/12/8 11:03:32
中文题目：	社会网络与市场信息对技术创业企业战略柔性的驱动机制研究
英文题目：	Research for the Driving Mechanism of Social Network and Market Information on Strategy Flexibility ofTechnology new ventures
指导老师：	张玉利
中文关键字：	技术创业 战略柔性 市场信息 社会网络
英文关键字：	Technology Entrepreneurship, Strategy Flexibility, Market Information, Social Network
中文摘要：	技术创业在促进经济增长、推动产业升级、创造就业岗位及激发创新水平等方面发挥了重要作用，然而，新技术企业也面临着很高的失败率。作为一种重要的成长驱动要素，战略柔性对技术创业企业取得更高水平的成长概率具有重要作用，战略柔性可以帮助技术创业企业获得合法性，获取新资源与市场收入，从而有助于其进一步吸引到高素质的雇员、战略合作者及风险投资机构的认同。目前，有关战略柔性的研究已取得了一定进展，尽管已有一些学者在战略柔性的形成背景、理论内涵、构成维度、测度方式及其对企业绩效的影响效应等方面做出了一些创新性的探索，但对于战略柔性的驱动机制，现有文献还较少涉及。更重要的是，既有研究大都针对成熟型企业展开，聚焦于技术创业企业战略柔性驱动因素的研究较为匮乏。对于来自中国这样新兴经济体的技术创业企业而言，战略柔性作为突破核心刚性束缚、克服路径依赖、应对环境动态性的有用工具，已成为不确定环境下新技术企业创造竞争优势的重要手段。结合前期对9家技术创业企业的实地访谈和案例研究，本文基于社会网络和市场信息的双重理论视角构建了一个技术创业企业战略柔性的驱动过程模型，并着重研究如下问题：（1）不同类型的社会网络对技术创业企业战略柔性的驱动效应是什么？（2）技术创业企业的市场信息处理过程如何影响其战略柔性的提升？（3）社会网络与市场信息之间存在着怎样的匹配机制？（4）上述驱动机制在不同类型的产品市场类型间是否存在差异效应？如果存在，这种差异效应的具体表现形式又是什么？基于对我国227家技术创业企业的问卷调查，采用实证统计方法对理论假设进行计量检验。研究发现商业网络促进了技术创业企业战略柔性的提升，并且与新兴市场相比，这一效应在成熟产品市场情境下更为显著，政治网络则对战略柔性具有负向影响。当技术创业企业的主导产品面向的是成熟市场时，市场信息获取对战略柔性的驱动效应更明显，当技术创业企业的主导产品面向的是新兴市场时，将更多资源用于对所获取信息的消化吸收会对战略柔性的提升产生更大作用。此外，对于技术创业型企业而言，不同网络类型与市场信息处理行为间的关系也存在显著差异，当其主导产品面临的是新兴市场情境时，政治网络有助于其获取更多有价值的市场信息，而当其主导产品面临的是成熟市场情境时，商业网络会比政治网络在信息获取活动上具有更大的战略价值。本文的研究贡献和创新主要体现在以下四个方面：（1）首先，基于以往学者大多侧重于讨论战略柔性对企业绩效的后向作用关系，本文考察了战略柔性的前端驱动因素，并探索性的构建了一个过程模型，研究结论有助于我们科学理性的识别战略柔性的提升要素，帮助技术创业企业更好的通过战略柔性来改善和提高绩效水平。（2）其次，不同于以往学者大多从网络中心性、网络密度、网络规模和网络集中度来刻画社会网络的结构性视角，本研究从关系和职能角度入手，将社会网络区分为商业网络和政治网络，并考察了这两种不同类型的网络对技术创业企业战略柔性和市场信息的影响效应。（3）第三，本文发现市场信息获取与市场信息利用对技术创业企业的战略柔性提升具有重要影响，而且信息获取与信息利用之间也存在着积极的正向关系，这一研究结论对市场信息文献具有一定的丰富和补充。（4）最后，本文探索了上述驱动路径在技术创业企业面向的不同产品市场（新兴市场Vs.成熟市场）之间的差异效应，揭示出了商业网络、政治网络、市场信息获取和市场信息利用对技术创业企业战略柔性的影响机制在不同产品市场类型之间的相对作用大小及其成因。本文的结构安排如下：第一章为文章的绪论，论述了研究背景、研究问题、研究意义、研究方法和技术路线。第二章是理论基础与文献综述，论述了本研究的理论来源和文献综述步骤。在此基础上分别对创新驱动背景下的技术创业兴起、技术创业者和技术创业的内涵及其独特性、战略柔性对技术创业企业生存与成长的重要性等方面进行了深入分析。第三章是研究模型和理论假设部分，分析了社会网络、市场信息与技术创业企业战略柔性之间的适配关系，对关键概念进行了界定，并演绎出了相应的理论模型与假设。第四与第五章是文章的研究方案及实证分析部分，汇报了调研方案设计、问卷开发程序、数据搜集流程和计量统计分析方法，通过对所搜集数据的实证统计，在第五章中汇报了相应的因子分析和假设检验结果。文章的第六章是结论与启示部分，对本研究的主要研究发现进行了总结，归纳了本文的研究创新与理论贡献，指出了研究局限，并论述了今后可以进一步探索的方向。
英文摘要：	Technology entrepreneurship has played an important role in promoting economic growth, improve industrial upgrading, create jobs and stimulate innovation level; however, new technology start-ups are also facing a high failure rate. As an important driven factor for new venture growth, strategic flexibility is important for technology start-ups to survive and obtain higher performance; strategic flexibility can help Technology new venture acquire legitimacy, access to new resources and gain markets income, and finally, to help start-ups further attract high quality employees, strategic partners and venture capitalists. Currently, research literature on strategic flexibility has made some progress, although there are some scholars make innovative headway on the strategic flexibility’ forming background, theoretical framework, constitute dimension, measurement models and its effects on firm performance, but for their drive mechanism, the existing literatures are less involved. More importantly, existing studies for strategic flexibility are mainly focused on mature companies; little attention has given to the technology start-ups. For those technology start-ups from emerging economies such as China, strategic flexibility as a useful tool to break the core rigidity, to overcome path dependence, and to deal with the dynamic nature of the market, it has become an important means for new technology enterprise to creates competitive advantage under the uncertain environment. Combined with previous field interviews and case studies for nine technology start-ups, this paper construct a process driven model for strategic flexibility based on the dual perspectives of social network theory and market information theory. The thesis explores the following questions: (1) what are the driving effects for different types of social network to strategic flexibility? (2) How market information affect technology new venture’ strategic flexibility from the process view? (3) What are the specific matching mechanism between social network and market information? (4) Whether there exist differences for above matching mechanism between the different types of product market condition? If present, what is the particular manifestation of these differences effects? Using valid questionnaires dataset from 227 Chinese technology start-ups, the thesis employing multi-group structural equation model to test our research hypotheses. The study found that business networks can promote the strategic flexibility, and compared with the emerging markets, this effect is more significant in the context of a mature product market, while political networks are having a negative impact on the strategic flexibility. when the leading product of technology start-ups is intended for a mature market, the driven effect of market information gathering for strategic flexibility are more significant, while when the leading product is intended for a emerging market, there will be more reasonable for technology start-ups to putting more resource on the marketing information absorption and utilization, since there will be more favorable to enhance strategic flexibility. In addition, for the technology entrepreneurial businesses, the relationship between different types of networks and market information processing behaviors are also exists significant divergence, when its leading products are facing with emerging markets, the political networks will more valuable to its market information gathering, and when its leading products are faced with mature market situation, the business networks will have greater strategic value in the market information acquisition than political network. the research contributions and theoretical innovations of my paper is mainly reflected in the following four areas: (1) First, surpassing the most previous studies which mainly focused on the effects of strategic flexibility on firm performance, this thesis examines the front driven mechanisms of strategic flexibility, and exploratory build a process model, our research findings will help us to rational identify improvement factors for strategic flexibility, thereby to help Chinese technology start-ups increase their performance level through strategic flexibility. (2) Secondly, unlike the mostly past literatures for their structural perspective to study social network from the network centrality, network density, network size and network concentration, the study use relations and functions perspective to characterize the social network, and classify it as business network and political network, and examines the impact of those two different types social network on technology start-ups’ strategic flexibility and market information. (3) Thirdly, we find that market information gathering and its utilization are the important ways to enhance strategic flexibility, and there are also exists positive effects in the relationship between information access and information utilization, those finding are also make important contribution for market information theory. (4) Finally, the paper explores the differences effects about above path model between the different product market conditions (emerging markets vs. mature markets) for Chinese new technology ventures, and we found that business and political network, and market information access and their use have different roles to influence strategic flexibility at the above emerging and mature markets, I also examined why those effects will be happen. This thesis is organized as follows: the chapter one discusses the study background, study questions, study methods and study value, and describes the research framework and technical route. Chapter Two are the theoretical foundation and literature review part, I discuss the theoretical context of this study, how to choose literature and make review, I also did an in-depth analysis for relevant theory of technology entrepreneurship, strategic flexibility, market information, and social networks in this chapter. In the Chapter Three, I elaborated the relationship among social network, market information and technology start-ups’ strategic flexibility, and developed the corresponding theoretical framework and research hypotheses. The fourth and fifth chapters are research design and empirical results, I describe the method of questionnaire design, data collection procedures, and hypothesis testing results. The last chapter of the thesis did the summary and outlook for my study; I summarized the main conclusions of this paper, analyzed the theoretical contribution and management value, and pointed out the limitations of the study and the future direction of further research.
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