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Balancing breadth and depth of expertise for innovation: A 3M story

Citations

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Cited by:

  1. Martin Kalthaus, 2020. "Knowledge recombination along the technology life cycle," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 643-704, July.
  2. Serkan Altuntas & Zulfiye Erdogan & Turkay Dereli, 2020. "A clustering-based approach for the evaluation of candidate emerging technologies," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1157-1177, August.
  3. Jiang, Lin & Clark, Brent B. & Turban, Daniel B., 2023. "Overcoming the challenge of exploration: How decompartmentalization of internal communication enhances the effect of exploration on employee inventive performance," Technovation, Elsevier, vol. 119(C).
  4. Ba, Zhichao & Mao, Jin & Ma, Yaxue & Liang, Zhentao, 2021. "Exploring the effect of city-level collaboration and knowledge networks on innovation: Evidence from energy conservation field," Journal of Informetrics, Elsevier, vol. 15(3).
  5. Papazoglou, Michalis E. & Spanos, Yiannis E., 2018. "Bridging distant technological domains: A longitudinal study of the determinants of breadth of innovation diffusion," Research Policy, Elsevier, vol. 47(9), pages 1713-1728.
  6. Cao, Likun & Evans, James, 2026. "Deep versus broad technology search and the timing of innovation impact," Technological Forecasting and Social Change, Elsevier, vol. 225(C).
  7. Luyun Xu & Siyu Zhao & Xin Yin, 2025. "Exploring the impact of knowledge network heterogeneity on new product development: a perspective on knowledge combination," The Journal of Technology Transfer, Springer, vol. 50(6), pages 2669-2696, December.
  8. Song, Geunhye & Min, Sujin & Lee, Seungmin & Seo, Yongseok, 2017. "The effects of network reliance on opportunity recognition: A moderated mediation model of knowledge acquisition and entrepreneurial orientation," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 98-107.
  9. Zhu, Shanshan & Hagedoorn, John & Zhang, Shuhui & Liu, Fengchao, 2021. "Effects of technological distance on innovation performance under heterogeneous technological orientations," Technovation, Elsevier, vol. 106(C).
  10. Jianyu Zhao & Zhenjie Dong & Xinlin Yao & Xi Xi, 2026. "Optimizing collaboration decisions in technological innovation through machine learning: identify trend and partners in collaboration-knowledge interdependent networks," Annals of Operations Research, Springer, vol. 359(1), pages 1059-1100, April.
  11. Lingzhi Chen & Yutao Sun & Cong Cao, 2023. "A two-fold evaluation in science: the case of Nobel Prize," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(11), pages 6267-6291, November.
  12. Xiaohong Zhao & Binglin Chen & Zhiyong Yang, 2026. "When does size matter? Divergent effects of recommendation set size in AI versus human recommenders," Marketing Letters, Springer, vol. 37(1), pages 1-15, December.
  13. Li, Jing & Yu, Qian, 2024. "Scientists’ disciplinary characteristics and collaboration behaviour under the convergence paradigm: A multilevel network perspective," Journal of Informetrics, Elsevier, vol. 18(1).
  14. Xu, Yang & Zhai, Chenchen & Wu, Fuxiang, 2026. "Green-digital synergistic transformation on manufacturing firms' innovation: Evidence from China," Economic Modelling, Elsevier, vol. 159(C).
  15. Wai Fong Boh & Cheng‐Jen Huang & Anne Wu, 2020. "Investor experience and innovation performance: The mediating role of external cooperation," Strategic Management Journal, Wiley Blackwell, vol. 41(1), pages 124-151, January.
  16. Lijie Feng & Yilang Li & Zhenfeng Liu & Jinfeng Wang, 2020. "Idea Generation and New Direction for Exploitation Technologies of Coal-Seam Gas through Recombinative Innovation and Patent Analysis," IJERPH, MDPI, vol. 17(8), pages 1-21, April.
  17. Maïder SAINT-JEAN & Nabila ARFAOUI & Eric BROUILLAT & David VIRAPIN, 2019. "Mapping technological knowledge patterns: evidence from ocean energy technologies," Cahiers du GREThA 2019-09, Groupe de Recherche en Economie Théorique et Appliquée(GREThA).
  18. Guan, Jiancheng & Liu, Na, 2016. "Exploitative and exploratory innovations in knowledge network and collaboration network: A patent analysis in the technological field of nano-energy," Research Policy, Elsevier, vol. 45(1), pages 97-112.
  19. Saerom Lee & Felipe A. Csaszar, 2020. "Cognitive and Structural Antecedents of Innovation: A Large-Sample Study," Strategy Science, INFORMS, vol. 5(2), pages 71-97, June.
  20. Ao, Weiyi & Sheng, Libo & Ruan, Xuanmin & Lyu, Dongqing & Li, Jiang & Cheng, Ying, 2025. "Researching deeply or broadly? The effects of scientists’ research strategies on disruptive performance over their careers," Journal of Informetrics, Elsevier, vol. 19(2).
  21. Jingxue Wang & Chengjun Wang & Yang Li, 2024. "RETRACTED ARTICLE: Unlocking Creativity: The Impact of Inventors’ Knowledge Complementarity and Substitutability in Moderating Structural Holes," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 17847-17880, December.
  22. Jialu Ren & Yong Zhou, 2026. "Identifying the Main Paths and Formation Mechanisms of Artificial Intelligence Technology Development in China," SAGE Open, , vol. 16(2), pages 21582440261, June.
  23. Resch, Christian & Kock, Alexander, 2021. "The influence of information depth and information breadth on brokers’ idea newness in online maker communities," Research Policy, Elsevier, vol. 50(8).
  24. Turanay Caner & Susan K. Cohen & Frits Pil, 2017. "Firm heterogeneity in complex problem solving: A knowledge-based look at invention," Strategic Management Journal, Wiley Blackwell, vol. 38(9), pages 1791-1811, September.
  25. Ding Ma & Zhishan Cai, 2026. "The power of knowledge: unraveling the influence of knowledge characteristics on inter-firm patent transfers," The Journal of Technology Transfer, Springer, vol. 51(3), pages 1820-1851, June.
  26. Brennecke, Julia & Rank, Olaf, 2017. "The firm’s knowledge network and the transfer of advice among corporate inventors—A multilevel network study," Research Policy, Elsevier, vol. 46(4), pages 768-783.
  27. Elina H. Hwang & Param Vir Singh & Linda Argote, 2019. "Jack of All, Master of Some: Information Network and Innovation in Crowdsourcing Communities," Information Systems Research, INFORMS, vol. 30(2), pages 389-410, June.
  28. Ning, Lutao & Guo, Rui, 2022. "Technological Diversification to Green Domains: Technological Relatedness, Invention Impact and Knowledge Integration Capabilities," Research Policy, Elsevier, vol. 51(1).
  29. Xie, Xuemei & Yu, Hong, 2025. "Collaborative innovation and knowledge spillovers in open innovation ecosystems: Exploring the roles of network stability and technological niche," Technological Forecasting and Social Change, Elsevier, vol. 219(C).
  30. Liu, Xiaoyu & Wang, Mingyi & Wang, Tan, 2026. "Enterprise green innovation: The role of data factor inputs," International Review of Economics & Finance, Elsevier, vol. 105(C).
  31. Peter Radziszewski, 2020. "Exploring the development of an innovation metric — from hypothesis to initial use," Journal of Innovation and Entrepreneurship, Springer, vol. 9(1), pages 1-29, December.
  32. Kafouros, Mario & Mavroudi, Eva & Aliyev, Murod & Hong, Junjie, 2025. "Technological complexity and the creation of impactful technologies: The role of inventors' international diversity and expertise," Journal of International Management, Elsevier, vol. 31(3).
  33. Wang, Fang, 2024. "Does the recombination of distant scientific knowledge generate valuable inventions? An analysis of pharmaceutical patents," Technovation, Elsevier, vol. 130(C).
  34. Zhou, Yong & Yang, Qijin & Lu, Shuo, 2023. "Research on the identification and formation mechanism of the main path of digital technology diffusion: Empirical evidence from China," Technology in Society, Elsevier, vol. 75(C).
  35. Keyvan Vakili & Sarah Kaplan, 2021. "Organizing for innovation: A contingency view on innovative team configuration," Strategic Management Journal, Wiley Blackwell, vol. 42(6), pages 1159-1183, June.
  36. Tong, Di & Lee, Jeongsik “Jay”, 2024. "Knowledge catalysts: The role of generalist incumbents in post-hiring knowledge integration," Research Policy, Elsevier, vol. 53(1).
  37. Annie TUBADJI & Vassilis ANGELIS & Peter NIJKAMP, 2019. "Micro-Cultural Preferences and Macro-Percolation of New Ideas: A NetLogo Simulation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 168-185, March.
  38. Yang, Ye & Yuan, Ling & Ye, Long & Yang, Songlin, 2025. "How does work passion affect employees’ radical and incremental creativity? —— A three-way interaction model," Journal of Business Research, Elsevier, vol. 196(C).
  39. Brennecke, Julia & Sofka, Wolfgang & Wang, Peng & Rank, Olaf N., 2021. "How the organizational design of R&D units affects individual search intensity – A network study," Research Policy, Elsevier, vol. 50(5).
  40. Chen, Jiyao & Shao, Diana & Fan, Shaokun, 2021. "Destabilization and consolidation: Conceptualizing, measuring, and validating the dual characteristics of technology," Research Policy, Elsevier, vol. 50(1).
  41. Haeussler, Carolin & Assmus, Anne, 2021. "Bridging the gap between invention and innovation: Increasing success rates in publicly and industry-funded clinical trials," Research Policy, Elsevier, vol. 50(2).
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