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Big Data and the Innovation Cycle

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  • Hau L. Lee

Abstract

Big data and the related methodologies could have great impacts on operations and supply chain management. Such impacts could be realized through innovations leveraging big data. The innovations can be described as first improving existing processes in operations through better tools and methods; second expanding the value propositions through expansive usage or incorporating data not available in the past; and third allowing companies to create new processes or business models to serve customers in new ways. This study describes this framework of the innovation cycle.

Suggested Citation

  • Hau L. Lee, 2018. "Big Data and the Innovation Cycle," Production and Operations Management, Production and Operations Management Society, vol. 27(9), pages 1642-1646, September.
    • Handle: RePEc:bla:popmgt:v:27:y:2018:i:9:p:1642-1646
    DOI: 10.1111/poms.12845
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    Cited by:

    1. JAHAN Sakila Akter & SAZU Mesbaul Haque, 2022. "Innovation Management: Is Big Data Necessarily Better Data?," Management of Sustainable Development, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 14(2), pages 27-33, December.
    2. Fink, Alexander A. & Klöckner, Maximilian & Räder, Tobias & Wagner, Stephan M., 2022. "Supply chain management accelerators: Types, objectives, and key design features," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    3. Tsan‐Ming Choi & Subodha Kumar & Xiaohang Yue & Hau‐Ling Chan, 2022. "Disruptive Technologies and Operations Management in the Industry 4.0 Era and Beyond," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 9-31, January.
    4. Xueling Li & Xiaoyan Zhang & Yuan Liu & Yuanying Mi & Yong Chen, 2022. "The impact of artificial intelligence on users' entrepreneurial activities," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 597-608, May.
    5. David Hidalgo-Carvajal & Ruth Carrasco-Gallego & Gustavo Morales-Alonso, 2021. "From Goods to Services and from Linear to Circular: The Role of Servitization’s Challenges and Drivers in the Shifting Process," Sustainability, MDPI, vol. 13(8), pages 1-26, April.
    6. Matsuzaki, Taisuke & Shigeno, Hidenori & Taher, Sheikh Abu & Tsuji, Masatsugu, 2022. "Relationship between Innovation and Corporate Performance in Japanese SMEs by Two-stage Panel Data Analysis: Focusing on the Joint Effect of ICT and R&D," 31st European Regional ITS Conference, Gothenburg 2022: Reining in Digital Platforms? Challenging monopolies, promoting competition and developing regulatory regimes 265659, International Telecommunications Society (ITS).
    7. Ho‐Yin Mak & Zuo‐Jun Max Shen, 2021. "When Triple‐A Supply Chains Meet Digitalization: The Case of JD.com's C2M Model," Production and Operations Management, Production and Operations Management Society, vol. 30(3), pages 656-665, March.
    8. Harkaran Kava & Konstantina Spanaki & Thanos Papadopoulos & Stella Despoudi & Oscar Rodriguez-Espindola & Masoud Fakhimi, 2021. "Data Analytics Diffusion in the UK Renewable Energy Sector: An Innovation Perspective," Post-Print hal-03781046, HAL.
    9. Akhter Salahuddin MOHAMMED, 2022. "How Analytics Creates Strategic Business Value: Perspectives from French MNCs," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 3(11), pages 65-72, November.
    10. Ciampi, Francesco & Demi, Stefano & Magrini, Alessandro & Marzi, Giacomo & Papa, Armando, 2021. "Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation," Journal of Business Research, Elsevier, vol. 123(C), pages 1-13.
    11. Linlin Zheng & Yashi Dong & Jineng Chen & Yuyi Li & Wenzhuo Li & Miaolian Su, 2022. "Impact of Crisis on Sustainable Business Model Innovation—The Role of Technology Innovation," Sustainability, MDPI, vol. 14(18), pages 1-28, September.
    12. Anamarija Pisarović & Sanja Tišma & Krševan Antun Dujmović & Mira Mileusnić Škrtić, 2020. "The Event of Croatia’s EU Accession and Membership from the Croatian High School Students’ Perspective," JRFM, MDPI, vol. 14(1), pages 1-18, December.
    13. Taisuke Matsuzaki & Hidenori Shigeno & Teruyuki Bunno & Hiroki Idota & Masatsugu Tsuji, 2023. "The Relationship Between Innovation and Corporate Performance in Japanese SMEs by Two-Stage Panel Data Analysis: Focusing on the Joint Effect of ICT and R&D," The Review of Socionetwork Strategies, Springer, vol. 17(1), pages 55-71, April.
    14. Lyu, Gaoyan & Hu, Huaqing & Zhuang, Guomian & Xi, Chenyang, 2023. "C2M strategies on an e-commerce platform under brand competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    15. Kraus, Mathias & Feuerriegel, Stefan & Oztekin, Asil, 2020. "Deep learning in business analytics and operations research: Models, applications and managerial implications," European Journal of Operational Research, Elsevier, vol. 281(3), pages 628-641.
    16. Samuel Jacob ABERMANN & Carlos ALVAREZ, 2022. "How Analytics Is Facilitating Global Trade: Evidence from Modernizing the Global Supply Chain," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 3(10), pages 60-72, October.
    17. Weihua Liu & Shangsong Long & Yanjie Liang & Jinkun Wang & Shuang Wei, 2023. "The influence of leadership and smart level on the strategy choice of the smart logistics platform: a perspective of collaborative innovation participation," Annals of Operations Research, Springer, vol. 324(1), pages 893-935, May.
    18. Peng Liang & Hasan Cavusoglu & Nan Hu, 2023. "Customers’ managerial expectations and suppliers’ asymmetric cost management," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1975-1993, June.
    19. Liu, Weihua & Long, Shangsong & Wei, Shuang, 2022. "Correlation mechanism between smart technology and smart supply chain innovation performance: A multi-case study from China's companies with Physical Internet," International Journal of Production Economics, Elsevier, vol. 245(C).
    20. Zahoor, Nadia & Al-Tabbaa, Omar, 2020. "Inter-organizational collaboration and SMEs’ innovation: A systematic review and future research directions," Scandinavian Journal of Management, Elsevier, vol. 36(2).
    21. Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).
    22. Lei Xu & Runpeng Gao & Yu Xie & Peng Du, 2019. "To Be or Not to Be? Big Data Business Investment Decision-Making in the Supply Chain," Sustainability, MDPI, vol. 11(8), pages 1-14, April.

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