Sustaining Growth for Innovative New Enterprises

创新型新企业持续成长

基本信息

  • 批准号:
    ES/J008303/1
  • 负责人:
  • 金额:
    $ 33.2万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2012
  • 资助国家:
    英国
  • 起止时间:
    2012 至 无数据
  • 项目状态:
    已结题

项目摘要

Gaps remain in our understanding of how different combinations of business, technology and relationship strategies influence the growth of small and medium-size enterprises (SMEs), especially in the context of networked interactions by SMEs at regional, extra-regional, and sectoral levels. In each new round of economic and technological development, these strategies evolve, highlighting the importance of tracking in close to real-time the nuances of emerging enterprise strategies. In this project, we will probe differential strategies for SME growth and the role of regional clustering in the growth of innovative companies, building on new and unobtrusive methods of web mining to gain timely information about enterprise developmental pathways. Three key research questions will be addressed: (1) What differentiates the business strategies, technology pathways, and relationships of innovative companies that stay in business and grow? (2) How does regional clustering influence the business strategies, technology pathways, and relationships of innovative companies that stay in business and grow? (3) What are the contributions of policy-induced resources in supporting innovative companies that stay in business and grow? These questions will be probed through a mixed-methods approach using both quantitative and qualitative data. We focus our research on the emerging green goods sector (GGS) - comprising firms producing outputs that benefit the environment or conserve natural resources, with an international comparative element involving the UK, the US, and China. We will identify 300 GGS companies in each country established during the time period 2004-2007, for a total study sample of 900 companies. We will apply a stratified sample selection procedure, to match the distribution of the UK GGS sector by broad product classes with the US and Chinese GGS sectors. We will then combine structured and unstructured data sources to track the origins, business, technology, and relationship strategies, and performance outcomes of these firms through to 2011. Structured data will include corporate databases, corporate patents and publication records. Unstructured data will be derived from new methods of web-scraping and data mining the current and archived web-sites of the sample enterprises. Survival analysis will indicate the pathway of firms from the founding period through to the current period. Hierarchical cluster analysis will be applied to explore differential business strategies by the three countries and by types of metropolitan location and product class. Multivariate regression will relationships between high growth (and other) outcomes and business strategies, technological approach, and the role of regional relationships and policy instruments, controlling for country and other factors. Insights from US and Chinese enterprise growth strategies will be compared with those of UK firms. In the subsequent phase, we will undertake case studies with selected UK enterprises, to test and refine propositions about differential strategies, regional and policy interactions, and outcomes. Interviews (60) will be conducted with high growth firms, stable firms, and other key informants in five UK metropolitan areas. The interviews will examine what differentiates the most successful firms, trace the use and benefit of technology-related and other programmes, and probe for wider policy-related locational attractiveness. The project will be led by the University Manchester in partnership with Experian UK, Georgia Institute of Technology (US), and Beijing Institute of Technology (China). An active dissemination and engagement programme will be pursued with the academic and non-academic worlds, including mechanisms for advanced training and outreach to users in the business sector, including start-up firms and business support programmes, to university and other technology transfer managers, and to local and national policymakers.
我们对业务、技术和关系策略的不同组合如何影响中小企业(SME)增长的理解仍然存在差距,特别是在中小企业在区域、区域外和部门层面进行网络互动的背景下。在每一轮新的经济和技术发展中,这些战略都会不断发展,凸显了近实时跟踪新兴企业战略的细微差别的重要性。在这个项目中,我们将探讨中小企业成长的差异化策略以及区域集群在创新型企业成长中的作用,建立在新的、不引人注目的网络挖掘方法的基础上,及时获取有关企业发展路径的信息。将解决三个关键的研究问题:(1)保持业务和发展的创新型公司的业务战略、技术途径和关系有何不同? (2) 区域集群如何影响创新型企业的业务战略、技术路径和关系,以维持业务和发展? (3)政策性资源对于支持创新型企业生存发展有何贡献?这些问题将通过使用定量和定性数据的混合方法进行探讨。我们的研究重点是新兴绿色产品行业(GGS)——包括生产有利于环境或保护自然资源的产品的公司,其中涉及英国、美国和中国的国际比较因素。我们将确定 2004 年至 2007 年期间在每个国家成立的 300 家 GGS 公司,研究样本总数为 900 家公司。我们将采用分层样本选择程序,将英国 GGS 行业按广泛产品类别的分布与美国和中国 GGS 行业相匹配。然后,我们将结合结构化和非结构化数据源来跟踪这些公司到 2011 年的起源、业务、技术和关系策略以及绩效结果。结构化数据将包括公司数据库、公司专利和出版记录。非结构化数据将通过对样本企业的当前网站和存档网站进行网络抓取和数据挖掘的新方法来获得。生存分析将表明企业从成立时期到当前时期的路径。将应用层次聚类分析来探索这三个国家以及按大都市位置类型和产品类别划分的差异化商业策略。多元回归将研究高增长(和其他)结果与商业战略、技术方法以及区域关系和政策工具的作用之间的关系,并控制国家和其他因素。美国和中国企业增长战略的见解将与英国公司的见解进行比较。在下一阶段,我们将与选定的英国企业进行案例研究,以测试和完善有关差异化战略、区域和政策互动以及结果的主张。访谈 (60) 将在英国五个大都市区的高增长企业、稳定企业和其他关键信息提供者中进行。访谈将探讨最成功企业的独特之处,追踪技术相关项目和其他项目的使用和效益,并探讨更广泛的与政策相关的地点吸引力。该项目将由曼彻斯特大学牵头,与英国益百利、佐治亚理工学院(美国)和北京理工大学(中国)合作。将在学术界和非学术界开展积极的传播和参与计划,包括向商业部门的用户(包括初创公司和商业支持计划)、大学和其他技术转让管理者以及地方和国家政策制定者提供高级培训和推广的机制。

项目成果

期刊论文数量(9)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Using web mining to explore Triple Helix influences on growth in small and mid-size firms
  • DOI:
    10.1016/j.technovation.2016.01.002
  • 发表时间:
    2016-01
  • 期刊:
  • 影响因子:
    12.5
  • 作者:
    Yin Li;S. Arora;J. Youtie;P. Shapira
  • 通讯作者:
    Yin Li;S. Arora;J. Youtie;P. Shapira
China's Increasing Global Influence: Changes in International Growth Spillovers
中国日益增强的全球影响力:国际增长溢出效应的变化
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Bataa E
  • 通讯作者:
    Bataa E
Innovation Systems for Renewable Energy and Green Tech Goods Sectors in China
中国可再生能源和绿色科技产品领域的创新体系
  • DOI:
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Guo, Y
  • 通讯作者:
    Guo, Y
Using the Wayback Machine to Mine Websites in the Social Sciences: A Methodological Resource
Use of web mining in studying innovation.
  • DOI:
    10.1007/s11192-014-1434-0
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Gök A;Waterworth A;Shapira P
  • 通讯作者:
    Shapira P
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Philip Shapira其他文献

Evaluating industrial modernization: Methods, results, and insights from the Georgia Manufacturing Extension Alliance
  • DOI:
    10.1007/bf02511612
  • 发表时间:
    1998-03-01
  • 期刊:
  • 影响因子:
    4.300
  • 作者:
    Philip Shapira;Jan Youtie
  • 通讯作者:
    Jan Youtie
Profile of development in biomass-based bioenergy research:a 20-year perspective
基于生物质的生物能源研究发展概况:20年展望
  • DOI:
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Weishu Liu;Mengdi Gu;Guangyuan Hu;Chaoli;Huchang Liao;Li Tang;Philip Shapira
  • 通讯作者:
    Philip Shapira
Contrasting perspectives on the evaluation of industrial modernization: Introduction to the symposium
  • DOI:
    10.1007/bf02511609
  • 发表时间:
    1998-03-01
  • 期刊:
  • 影响因子:
    4.300
  • 作者:
    Philip Shapira;Jan Youtie
  • 通讯作者:
    Jan Youtie
Enhancing SME innovation across European regions: Success factors in EU-funded open innovation networks
加强欧洲地区中小企业创新:欧盟资助的开放式创新网络的成功因素
Profile of developments in biomass-based bioenergy research: a twenty-year perspective
基于生物质的生物能源研究发展概况:二十年展望
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Huchang Liao;Li Chao;Li Tang;Philip Shapira
  • 通讯作者:
    Philip Shapira

Philip Shapira的其他文献

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{{ truncateString('Philip Shapira', 18)}}的其他基金

Emerging Technologies, Trajectories and Implications of Next Generation Innovation Systems Development in China and Russia
中国和俄罗斯下一代创新系统发展的新兴技术、轨迹和影响
  • 批准号:
    ES/J012785/1
  • 财政年份:
    2012
  • 资助金额:
    $ 33.2万
  • 项目类别:
    Research Grant
Doctoral Dissertation Research in Science of Science and Innovation Policy: How Do Prizes Induce Innovation? Learning from the Google Lunar X-Prize
科学与创新政策博士论文研究:奖项如何激发创新?
  • 批准号:
    0965103
  • 财政年份:
    2010
  • 资助金额:
    $ 33.2万
  • 项目类别:
    Standard Grant
MOD Measurement and Analysis of Highly Creative Research in the US and Europe
美国和欧洲高度创造性研究的 MOD 测量和分析
  • 批准号:
    0738126
  • 财政年份:
    2008
  • 资助金额:
    $ 33.2万
  • 项目类别:
    Standard Grant
Impacts of Public Information Infrastructure Access
公共信息基础设施接入的影响
  • 批准号:
    0095191
  • 财政年份:
    2001
  • 资助金额:
    $ 33.2万
  • 项目类别:
    Standard Grant
U.S.-European Workshop on Learning from Science and Technology Policy Evaluation, Spring 2000
美国-欧洲科学技术政策评估学习研讨会,2000 年春季
  • 批准号:
    9906139
  • 财政年份:
    1999
  • 资助金额:
    $ 33.2万
  • 项目类别:
    Standard Grant

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