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发布日期：2016-09-14 09:32 来源：北京大学国家发展研究院
Knowledge Retrieval and the Benefits of Innovation Disclosures: Evidence from IBM
Speaker: Yiting Deng, Assistant Professor, School of Management at University College London (UCL)
Time: September 16th (Friday) 10:30am-12:00am
Location: Wanzhong Building（万众小教室）National School of Development, Peking U.
Abstract
Owners of knowledge sometimes choose to disclose their private innovation to the public domain, instead of filing patents or keeping them secret. Such behavior is called knowledge disclosure. Once disclosed, the private innovation becomes public knowledge free to use and is no longer patentable. Using a novel data set covering all IBM's patents and innovation disclosures from 1976 to 2000, this paper studies competitive firms' voluntary innovation disclosures from an empirical perspective.
We first empirically test if IBM discloses innovations for defensive purposes. A likely consequence of defensive innovation disclosures is that disclosures undercut other firms' related patents, thus patents citing disclosures would be weaker than other patents, all else equal. Our analyses reveal that patents citing IBM disclosures are not weaker than their counterparts that do not cite IBM disclosure, and even stronger on some dimensions. Therefore, we do not find empirical evidence supporting defensive disclosures.
To seek alternative explanations for knowledge disclosure, we next explore the diffusion of knowledge disclosure and the utilization of disclosures along the path of diffusion. We find knowledge disclosures benefit the disclosing firm through knowledge retrieval, i.e., reabsorption of one's own spilled knowledge that has been leveraged externally. Compared with IBM patents, IBM disclosures tend to be more distant from IBM patent portfolio and less substantial. However, like patents, these disclosures can also elicit follow-up innovations, and IBM benefits from reabsorbing these follow-up innovations. Through selectively disclosing peripheral innovations and learning from follow-up innovations, IBM is able to expand and strengthen its patent portfolio. Hence, knowledge disclosures enhance IBM's own technological opportunities and innovation efficiency.
Yiting Deng is Assistant Professor of Marketing at the UCL School of Management at University College London (UCL). Previously, she was Assistant Professor of Marketing at the Mendoza College of Business (University of Notre Dame). Yiting applies empirical modeling techniques to marketing data in solving consumer choice and firm decision problems. Her current research is in the area of media consumption, marketing effectiveness, two-sided markets and diffusion of technologies. Her research has been published in Marketing Science and Statistical Science. Yiting received her Ph.D. in Marketing and M.S. in Statistics from Duke University in 2015. Prior to this, she studied at Peking University and obtained her B.A. and M.A. in Economics, and B.S. in Statistics.
https://www.mgmt.ucl.ac.uk/people/yitingdeng
Your participation is warmly welcomed!
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首页
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教学项目展开 / 收起
sidenav background教学项目
sidenav header background[9月16日]管理学workshop
发布日期：2016-09-14 09:32 来源：北京大学国家发展研究院
Knowledge Retrieval and the Benefits of Innovation Disclosures: Evidence from IBM
Speaker: Yiting Deng, Assistant Professor, School of Management at University College London (UCL)
Time: September 16th (Friday) 10:30am-12:00am
Location: Wanzhong Building（万众小教室）National School of Development, Peking U.
Abstract
Owners of knowledge sometimes choose to disclose their private innovation to the public domain, instead of filing patents or keeping them secret. Such behavior is called knowledge disclosure. Once disclosed, the private innovation becomes public knowledge free to use and is no longer patentable. Using a novel data set covering all IBM's patents and innovation disclosures from 1976 to 2000, this paper studies competitive firms' voluntary innovation disclosures from an empirical perspective.
We first empirically test if IBM discloses innovations for defensive purposes. A likely consequence of defensive innovation disclosures is that disclosures undercut other firms' related patents, thus patents citing disclosures would be weaker than other patents, all else equal. Our analyses reveal that patents citing IBM disclosures are not weaker than their counterparts that do not cite IBM disclosure, and even stronger on some dimensions. Therefore, we do not find empirical evidence supporting defensive disclosures.
To seek alternative explanations for knowledge disclosure, we next explore the diffusion of knowledge disclosure and the utilization of disclosures along the path of diffusion. We find knowledge disclosures benefit the disclosing firm through knowledge retrieval, i.e., reabsorption of one's own spilled knowledge that has been leveraged externally. Compared with IBM patents, IBM disclosures tend to be more distant from IBM patent portfolio and less substantial. However, like patents, these disclosures can also elicit follow-up innovations, and IBM benefits from reabsorbing these follow-up innovations. Through selectively disclosing peripheral innovations and learning from follow-up innovations, IBM is able to expand and strengthen its patent portfolio. Hence, knowledge disclosures enhance IBM's own technological opportunities and innovation efficiency.
Yiting Deng is Assistant Professor of Marketing at the UCL School of Management at University College London (UCL). Previously, she was Assistant Professor of Marketing at the Mendoza College of Business (University of Notre Dame). Yiting applies empirical modeling techniques to marketing data in solving consumer choice and firm decision problems. Her current research is in the area of media consumption, marketing effectiveness, two-sided markets and diffusion of technologies. Her research has been published in Marketing Science and Statistical Science. Yiting received her Ph.D. in Marketing and M.S. in Statistics from Duke University in 2015. Prior to this, she studied at Peking University and obtained her B.A. and M.A. in Economics, and B.S. in Statistics.
https://www.mgmt.ucl.ac.uk/people/yitingdeng
Your participation is warmly welcomed!
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