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<p>While the importance of technological complementarities is widely recognized, empirical research on their effective identification remains significantly underdeveloped. To address this gap, this study uses patent data and a combination of Zero-Inflated Negative Binomial (ZINB) regression and permutation tests to identify key technological complementarities within the Internet of Things (IoT) ecosystem. Advanced text classification techniques overcome challenges inherent in extracting relevant technological information from patent text, aiding in identifying the technological components of digital innovation. Our analysis reveals significant complementarities in IoT inventions incorporating the combined measuring, communication, control, and signaling technologies. The resulting framework, generalizable beyond IoT, identifies complementarity benefits from patent data across diverse technological domains. Our findings illuminate crucial IoT technological combinations, providing policymakers and researchers with actionable insights into innovation dynamics and informing strategic R&amp;D investment decisions.</p>

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Beyond Trial and Error: A Search Strategy to Discover Technological Complementarities

  • 期刊论文

  • 发表日期：

    2025年10月9日

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  • C Balaganesh,
  • R K Amit,
  • R P Sundarraj

摘要

While the importance of technological complementarities is widely recognized, empirical research on their effective identification remains significantly underdeveloped. To address this gap, this study uses patent data and a combination of Zero-Inflated Negative Binomial (ZINB) regression and permutation tests to identify key technological complementarities within the Internet of Things (IoT) ecosystem. Advanced text classification techniques overcome challenges inherent in extracting relevant technological information from patent text, aiding in identifying the technological components of digital innovation. Our analysis reveals significant complementarities in IoT inventions incorporating the combined measuring, communication, control, and signaling technologies. The resulting framework, generalizable beyond IoT, identifies complementarity benefits from patent data across diverse technological domains. Our findings illuminate crucial IoT technological combinations, providing policymakers and researchers with actionable insights into innovation dynamics and informing strategic R&D investment decisions.