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Dynamic patterns of industry convergence: Evidence from a large amount of unstructured data

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  1. Keongtae Kim & Anandasivam Gopal & Gerard Hoberg, 2016. "Does Product Market Competition Drive CVC Investment? Evidence from the U.S. IT Industry," Information Systems Research, INFORMS, vol. 27(2), pages 259-281, June.
  2. Chen, I-Ju & Hsu, Po-Hsuan & Officer, Micah S. & Wang, Yanzhi, 2020. "The Oscar goes to…: High-tech firms’ acquisitions in response to rivals’ technology breakthroughs," Research Policy, Elsevier, vol. 49(7).
  3. Jungpyo Lee & So Young Sohn, 2021. "Recommendation system for technology convergence opportunities based on self-supervised representation learning," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 1-25, January.
  4. Sasaki, Hajime & Sakata, Ichiro, 2021. "Identifying potential technological spin-offs using hierarchical information in international patent classification," Technovation, Elsevier, vol. 100(C).
  5. Dejing Kong & Jianzhong Yang & Lingfeng Li, 2020. "Early identification of technological convergence in numerical control machine tool: a deep learning approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1983-2009, December.
  6. Jinho Choi & Nina Shin & Hee Soo Lee, 2020. "Exploring the Dynamics between M&A Activities and Industry-Level Performance," Sustainability, MDPI, vol. 12(11), pages 1-24, May.
  7. Geum, Youngjung & Kim, Moon-Soo & Lee, Sungjoo, 2016. "How industrial convergence happens: A taxonomical approach based on empirical evidences," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 112-120.
  8. Bahoo, Salman & Cucculelli, Marco & Qamar, Dawood, 2023. "Artificial intelligence and corporate innovation: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
  9. Changyong Lee & Suckwon Hong & Juram Kim, 2021. "Anticipating multi-technology convergence: a machine learning approach using patent information," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 1867-1896, March.
  10. HaeOk Choi & KwangHo Lee, 2020. "Micro-Operating Mechanism Approach for Regulatory Sandbox Policy Focused on Fintech," Sustainability, MDPI, vol. 12(19), pages 1-11, October.
  11. Maurizio Massaro & Silvana Secinaro & Francesca Dal Mas & Valerio Brescia & Davide Calandra, 2021. "Industry 4.0 and circular economy: An exploratory analysis of academic and practitioners' perspectives," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 1213-1231, February.
  12. Shi, Xianwei & Liang, Xingkun & Luo, Yining, 2023. "Unpacking the intellectual structure of ecosystem research in innovation studies," Research Policy, Elsevier, vol. 52(6).
  13. Sick, Nathalie & Preschitschek, Nina & Leker, Jens & Bröring, Stefanie, 2019. "A new framework to assess industry convergence in high technology environments," Technovation, Elsevier, vol. 84, pages 48-58.
  14. Xiaowei Chen & Tianyu Zhang & Fu Jia, 2020. "Industry convergence as a strategy for achieving sustainable development of agricultural complex: The case of Sandun‐Lanli in China," Business Strategy and the Environment, Wiley Blackwell, vol. 29(6), pages 2679-2694, September.
  15. Ohsung Kwon, 2020. "A study on how startups approach sustainable development through intellectual property," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 613-625, July.
  16. Roger Moser & Srinath Rengarajan & Gopalakrishnan Narayanamurthy, 2021. "Decision Intelligence: Creating a Fit between Intelligence Requirements and Intelligence Processing Capacities," IIM Kozhikode Society & Management Review, , vol. 10(2), pages 160-177, July.
  17. Lee, Changyong, 2021. "A review of data analytics in technological forecasting," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
  18. Sick, Nathalie & Bröring, Stefanie, 2022. "Exploring the research landscape of convergence from a TIM perspective: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  19. Zhou, Yuan & Dong, Fang & Kong, Dejing & Liu, Yufei, 2019. "Unfolding the convergence process of scientific knowledge for the early identification of emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 205-220.
  20. Sanghoon Lee & Wonjoon Kim, 2017. "The knowledge network dynamics in a mobile ecosystem: a patent citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 717-742, May.
  21. Rengarajan, Srinath & Moser, Roger & Narayanamurthy, Gopalakrishnan, 2021. "Strategy tools in dynamic environments – An expert-panel study," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
  22. Jinho Choi & Nina Shin & Yong Sik Chang, 2021. "Strategic Investment Decisions for Emerging Technology Fields in the Health Care Sector Based on M&A Analysis," Sustainability, MDPI, vol. 13(7), pages 1-20, March.
  23. Pan, Maomao & Bai, Min & Ren, Xiaoxiao, 2022. "Does internet convergence improve manufacturing enterprises’ competitive advantage? Empirical research based on the mediation effect model," Technology in Society, Elsevier, vol. 69(C).
  24. Weiliang Chen & Xinjian Huang & Yanhong Liu & Yan Song, 2019. "Does Industry Integration Improve the Competitiveness of China’s Electronic Information Industry?—Evidence from the Integration of the Electronic Information Industry and Financial Industry," Sustainability, MDPI, vol. 11(9), pages 1-18, May.
  25. Langley, David J. & van Doorn, Jenny & Ng, Irene C.L. & Stieglitz, Stefan & Lazovik, Alexander & Boonstra, Albert, 2021. "The Internet of Everything: Smart things and their impact on business models," Journal of Business Research, Elsevier, vol. 122(C), pages 853-863.
  26. Kose, Toshihiro & Sakata, Ichiro, 2019. "Identifying technology convergence in the field of robotics research," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 751-766.
  27. Kanger, Laur & Bone, Frédérique & Rotolo, Daniele & Steinmueller, W. Edward & Schot, Johan, 2022. "Deep transitions: A mixed methods study of the historical evolution of mass production," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
  28. Heo, Pil Sun & Lee, Duk Hee, 2019. "Evolution patterns and network structural characteristics of industry convergence," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 405-426.
  29. Bohnsack, René & Kurtz, Hannes & Hanelt, André, 2021. "Re-examining path dependence in the digital age: The evolution of connected car business models," Research Policy, Elsevier, vol. 50(9).
  30. Chunbo Zhou & Marios Sotiriadis, 2021. "Exploring and Evaluating the Impact of ICTs on Culture and Tourism Industries’ Convergence: Evidence from China," Sustainability, MDPI, vol. 13(21), pages 1-18, October.
  31. Kim, Juram & Kim, Seungho & Lee, Changyong, 2019. "Anticipating technological convergence: Link prediction using Wikipedia hyperlinks," Technovation, Elsevier, vol. 79(C), pages 25-34.
  32. Sajad Ashouri & Anne-Laure Mention & Kosmas X. Smyrnios, 2021. "Anticipation and analysis of industry convergence using patent-level indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5727-5758, July.
  33. Walrave, Bob & Gilsing, Victor A., 2023. "Game of skill or game of luck? Distant search in response to performance feedback," Technovation, Elsevier, vol. 121(C).
  34. Yanyan Liu & Ying Cheng & Wei Liu, 2018. "Understanding Gatekeeping Transformation in the Chinese EV Industry: An Exploratory Study of the Focal Firms' Cross-industrial Interactions," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 16(3-B), pages 485-503.
  35. Zhentao Li & Hongping Yan & Xiuxin Liu, 2023. "Evaluation of China’s Rural Industrial Integration Development Level, Regional Differences, and Development Direction," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
  36. Kwak, Kiho & Kim, Wonjoon & Park, Kyungbae, 2018. "Complementary multiplatforms in the growing innovation ecosystem: Evidence from 3D printing technology," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 192-207.
  37. Paolo Calvosa, 2021. "Entry, Exit and Innovation over the Industry Life Cycle in Converging Sectors: An Analysis of the Smartphone Industry," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(12), pages 151-151, July.
  38. Jee, Su Jung & Kwon, Minji & Ha, Jung Moon & Sohn, So Young, 2019. "Exploring the forward citation patterns of patents based on the evolution of technology fields," Journal of Informetrics, Elsevier, vol. 13(4).
  39. Jianjia He & Yue Wang, 2023. "Patent-Based Analysis of China’s Emergency Logistics Industry Convergence," Sustainability, MDPI, vol. 15(5), pages 1-13, March.
  40. Ying Tang & Xuming Lou & Zifeng Chen & Chengjin Zhang, 2020. "A Study on Dynamic Patterns of Technology Convergence with IPC Co-Occurrence-Based Analysis: The Case of 3D Printing," Sustainability, MDPI, vol. 12(7), pages 1-26, March.
  41. Hyeokseong Lee & Namil Kim & Kiho Kwak & Wonjoon Kim & Hyungjoon Soh & Kyungbae Park, 2016. "Diffusion Patterns in Convergence among High-Technology Industries: A Co-Occurrence-Based Analysis of Newspaper Article Data," Sustainability, MDPI, vol. 8(10), pages 1-18, October.
  42. Aaldering, Lukas Jan & Leker, Jens & Song, Chie Hoon, 2019. "Uncovering the dynamics of market convergence through M&A," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 95-114.
  43. Jianjia He & Danyuan Wang, 2023. "Impact of Economic Policy Uncertainty on Industrial Convergence: Evidence from China," Sustainability, MDPI, vol. 15(13), pages 1-15, June.
  44. Dal Mas, F. & Massaro, M. & Ndou, V. & Raguseo, E., 2023. "Blockchain technologies for sustainability in the agrifood sector: A literature review of academic research and business perspectives," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
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