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The multiple dimensions of the interfirm network: The critical sources of product innovation.

机译:企业间网络的多个维度:产品创新的关键来源。

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摘要

This dissertation examines the impacts of interfirm variables on both invention and commercialization activities, following Greve's (2003) suggestion that innovation research will be enriched if more studies integrate invention and commercialization activities to understand the entire innovation development process. Utilizing two established theoretical perspectives---organizational learning and institutional theory---six sets of hypotheses are developed containing the following interfirm variables: (1) direct and indirect ties, (2) strength of direct ties, (3) structural holes, (4) prominence of direct partners, (5) exploration and exploitation partners, and (6) horizontal and vertical networks. The dissertation also predicts that these interfirm variables would contribute to either invention or commercialization activities.;Examining 262 publicly traded biopharmaceutical firms from 1986 to 2003, the study demonstrates that the interfirm variables significantly influence the invention and commercialization outcomes. While some interfirm variables positively influence the number of patents of a focal firm, they could have a negative impact upon the number of marketed drug applications and revenue. A managerial implication from the findings is that a focal firm may want to clarify its objectives before engaging in any interfirm collaboration by examining the multiple dimensions of its interfirm network and to identify its posture toward alliances. Due to the complexity and length of invention and commercialization activities, future research is warranted to investigate further the impacts of these interfirm predictors on important, but relatively ignored, product innovation outcomes (i.e., the number of new projects and licensing, marketing, and sales fees).
机译:本文根据格雷夫(Greve,2003)的建议,研究了企业间变量对发明和商业化活动的影响,如果更多的研究将发明和商业化活动结合起来以理解整个创新发展过程,创新研究将得到丰富。利用两个已建立的理论视角-组织学习和制度理论-提出了六组假设,其中包含以下企业间变量:(1)直接和间接关系;(2)直接关系的强度;(3)结构孔; (4)突出直接合作伙伴,(5)勘探和开发合作伙伴,以及(6)横向和纵向网络。论文还预测了这些企业间变量将有助于发明或商业化活动。1986年至2003年对262家公开交易的生物制药公司进行了研究,研究表明企业间变量显着影响发明和商业化成果。尽管一些企业间变量对一家重点公司的专利数量产生积极影响,但它们可能对上市药物申请数量和收入产生负面影响。调查结果的管理含义是,一家重点公司可能希望在参与任何公司间合作之前先明确其目标,方法是检查其公司间网络的多个维度并确定其对联盟的态度。由于发明和商业化活动的复杂性和持续时间,有必要进行进一步的研究以进一步调查这些公司间预测因素对重要但相对被忽略的产品创新成果(即新项目的数量以及许可,营销和销售)的影响费用)。

著录项

  • 作者

    Srivardhana, Thongchai.;

  • 作者单位

    Louisiana State University and Agricultural & Mechanical College.;

  • 授予单位 Louisiana State University and Agricultural & Mechanical College.;
  • 学科 Business Administration Management.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 245 p.
  • 总页数 245
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 贸易经济;
  • 关键词

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