基于相对坐标的重力模型的企业权重定量模型:面向数字创新的胶片行业案例研究

IF 3.5 2区 管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Katsuyuki Kaneko , Yuya Kajikawa
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引用次数: 0

摘要

动态能力和组织负担是在动荡的环境中导航的关键管理概念。然而,他们的测量仍然依赖于问卷调查和访谈等定性方法,而不是事实数据。本研究旨在利用专利数据建立重力模型,量化企业对新兴技术创新的态度。四家主要的全球公司在照片胶卷行业,被迫进入生存危机的数字技术的出现,进行了调查。重力模型中的距离是利用每个企业的专利数据计算的技术距离。每个公司的权重,从使用重力模型估计的系数中量化,通过将其与公司的历史信息进行比较来验证。此外,我们估计了动态能力和组织负荷的变化,当行业中的公司可以感觉到数码相机的威胁。研究结果表明,相对于消失的企业,幸存下来的企业的能力有所提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative model of firms’ weight using a gravity model in relative coordinates: Case study of photo film industry facing digital innovation
Dynamic capabilities and organizational deadweights are essential managerial concepts that are crucial in navigating a turbulent environment. However, their measurements still rely on qualitative methods such as questionnaires and interviews, rather than factual data. This study aims to quantify firms' attitudes toward emerging technological innovations by applying a gravity model using patent data. Four major global firms in the photo film industry, forced into a crisis of existence by the advent of digital technologies, are investigated. The distance in the gravity model is calculated as the technological distance using the patent data of each firm. The weight of each firm, quantified from the coefficients estimated using the gravity model, is validated by comparing it with the historical information of the firms. Additionally, we estimate the changes in dynamic capabilities and organizational deadweights when firms in the industry could sense the threat of digital cameras. The results show that surviving firms had an increase in capabilities relative to disappeared firms.
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来源期刊
Journal of Informetrics
Journal of Informetrics Social Sciences-Library and Information Sciences
CiteScore
6.40
自引率
16.20%
发文量
95
期刊介绍: Journal of Informetrics (JOI) publishes rigorous high-quality research on quantitative aspects of information science. The main focus of the journal is on topics in bibliometrics, scientometrics, webometrics, patentometrics, altmetrics and research evaluation. Contributions studying informetric problems using methods from other quantitative fields, such as mathematics, statistics, computer science, economics and econometrics, and network science, are especially encouraged. JOI publishes both theoretical and empirical work. In general, case studies, for instance a bibliometric analysis focusing on a specific research field or a specific country, are not considered suitable for publication in JOI, unless they contain innovative methodological elements.
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