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Identifying core topics in technology and innovation management studies: a topic model approach

机译：在技​​术和创新管理研究中确定核心主题：主题模型方法

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The study of technology and innovation management (TIM) has continued to evolve and expand with great speed over the last three decades. This research aims to identify core topics in TIM studies and explore their dynamic changes. The conventional approach, based on discrete assignments by subjective judgment with predetermined categories, cannot effectively capture latent topics from large volumes of scholarly data. Hence, this study adopts the topic model approach, which automatically discovers topics that pervade a large and unstructured collection of documents, to uncover research topics in TIM research. The 50 topics of TIM research are identified through the Latent Dirichlet Allocation model from 11,693 articles published from 1997 to 2016 in 11 TIM journals, and top 10 most popular topics in TIM research are briefly reviewed. We then explore topic trends by examining the changes in topics rankings over different time periods and identifying hot and cold topics of TIM research over the last two decades. For each of the 11 TIM journals, the areas of subspecialty and the effects of editor changes on topic portfolios are also investigated. The findings of this study are expected to provide implications for researchers, journal editors, and policy makers in the field of TIM.
机译：在过去的三十年中，技术与创新管理（TIM）的研究一直在继续高速发展。这项研究旨在确定TIM研究中的核心主题并探索其动态变化。传统的方法基于主观判断和预定类别的离散分配，无法有效地从大量学术数据中捕获潜在主题。因此，本研究采用主题模型方法，该方法自动发现遍历大量非结构化文档集合的主题，以发现TIM研究中的研究主题。通过Latent Dirichlet分配模型从1997年至2016年在11份TIM期刊上发表的11,693篇文章中确定了TIM研究的50个主题，并简要回顾了TIM研究中最热门的10个主题。然后，我们通过研究不同时间段内主题排名的变化，并确定过去20年中TIM研究的热点和热点，来探索主题趋势。对于11种TIM期刊中的每一种，还研究了专业领域和编辑人员变更对主题组合的影响。这项研究的结果有望为TIM领域的研究人员，期刊编辑和决策者提供启示。

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