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Artificial intelligence and corporate innovation: A review and research agenda

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  • Bahoo, Salman
  • Cucculelli, Marco
  • Qamar, Dawood

Abstract

Artificial Intelligence (AI) induce corporates to re-design their innovation process. Due to rapid technological development, synchronization of information systems, and industrialization, corporate managers increasingly adopt AI in innovation. In response, scholars are interested in the idea of creating and mapping the intersection of AI in corporate innovation, which resulted in massive literature during the past decades. To critically analyze the phenomena of AI in corporate innovation, we conducted a hybrid review of published literature (364 articles) for the last 56 years (1996 to July 2022). We present taxonomy, outline AI phases, AI large scope definition, and link with innovation. We identify eight focal fields in the intersection of AI in corporate innovation, such as AI and business models (BM), AI and product innovation, AI and open innovation, AI and innovation process, AI and firm's innovation structure, AI, firm's knowledge and innovation, and AI, innovation and firm market performance, and AI and innovativeness of supply chain management. We outline a framework encompassing the role of AI in corporate innovation. We conclude this study by identifying influential aspects of literature and presenting future research agendas.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:tefoso:v:188:y:2023:i:c:s0040162522007855
    DOI: 10.1016/j.techfore.2022.122264
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    as
    1. Christian Arnold & Kai-Ingo Voigt, 2019. "Determinants of Industrial Internet of Things Adoption in German Manufacturing Companies," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-21, October.
    2. Mariani, Marcello M. & Fosso Wamba, Samuel, 2020. "Exploring how consumer goods companies innovate in the digital age: The role of big data analytics companies," Journal of Business Research, Elsevier, vol. 121(C), pages 338-352.
    3. Suominen, Arho & Toivanen, Hannes & Seppänen, Marko, 2017. "Firms' knowledge profiles: Mapping patent data with unsupervised learning," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 131-142.
    4. Ma, Tingting & Zhang, Yi & Huang, Lu & Shang, Lining & Wang, Kangrui & Yu, Huizhu & Zhu, Donghua, 2017. "Text mining to gain technical intelligence for acquired target selection: A case study for China's computer numerical control machine tools industry," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 162-180.
    5. Alex Coad & Nicola Grassano, 2019. "Firm growth and R&D investment: SVAR evidence from the world’s top R&D investors," Industry and Innovation, Taylor & Francis Journals, vol. 26(5), pages 508-533, May.
    6. Raut, Rakesh D. & Priyadarshinee, Pragati & Gardas, Bhaskar B. & Jha, Manoj Kumar, 2018. "Analyzing the factors influencing cloud computing adoption using three stage hybrid SEM-ANN-ISM (SEANIS) approach," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 98-123.
    7. Haefner, Naomi & Wincent, Joakim & Parida, Vinit & Gassmann, Oliver, 2021. "Artificial intelligence and innovation management: A review, framework, and research agenda✰," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    8. Rampersad, Giselle, 2020. "Robot will take your job: Innovation for an era of artificial intelligence," Journal of Business Research, Elsevier, vol. 116(C), pages 68-74.
    9. Chun-Liang Chen, 2019. "Value Creation by SMEs Participating in Global Value Chains under Industry 4.0 Trend: Case Study of Textile Industry in Taiwan," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 22(2), pages 120-145, April.
    10. Khan, Ashraf & Hassan, M. Kabir & Paltrinieri, Andrea & Dreassi, Alberto & Bahoo, Salman, 2020. "A bibliometric review of takaful literature," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 389-405.
    11. Ulrich Lichtenthaler, 2020. "Building Blocks of Successful Digital Transformation: Complementing Technology and Market Issues," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 1-14, February.
    12. Toorajipour, Reza & Sohrabpour, Vahid & Nazarpour, Ali & Oghazi, Pejvak & Fischl, Maria, 2021. "Artificial intelligence in supply chain management: A systematic literature review," Journal of Business Research, Elsevier, vol. 122(C), pages 502-517.
    13. Jens Butschan & Sven Heidenreich & Benjamin Weber & Tobias Kraemer, 2019. "TACKLING HURDLES TO DIGITAL TRANSFORMATION — THE ROLE OF COMPETENCIES FOR SUCCESSFUL INDUSTRIAL INTERNET OF THINGS (IIoT) IMPLEMENTATION," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 23(04), pages 1-34, May.
    14. Liu, Jun & Chang, Huihong & Forrest, Jeffrey Yi-Lin & Yang, Baohua, 2020. "Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    15. Lynn Wu & Lorin Hitt & Bowen Lou, 2020. "Data Analytics, Innovation, and Firm Productivity," Management Science, INFORMS, vol. 66(5), pages 2017-2039, May.
    16. Alshawaaf, Nasser & Lee, Soo Hee, 2021. "Business model innovation through digitisation in social purpose organisations: A comparative analysis of Tate Modern and Pompidou Centre," Journal of Business Research, Elsevier, vol. 125(C), pages 597-608.
    17. Paul, Justin & Criado, Alex Rialp, 2020. "The art of writing literature review: What do we know and what do we need to know?," International Business Review, Elsevier, vol. 29(4).
    18. Leone, Daniele & Schiavone, Francesco & Appio, Francesco Paolo & Chiao, Benjamin, 2021. "How does artificial intelligence enable and enhance value co-creation in industrial markets? An exploratory case study in the healthcare ecosystem," Journal of Business Research, Elsevier, vol. 129(C), pages 849-859.
    19. Bahoo, Salman & Hassan, M. Kabir, 2019. "A model of the Islamic sovereign wealth fund," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 27, pages 2-22.
    20. Wiegmann, Paul Moritz & de Vries, Henk J. & Blind, Knut, 2017. "Multi-mode standardisation: A critical review and a research agenda," Research Policy, Elsevier, vol. 46(8), pages 1370-1386.
    21. Burström, Thommie & Parida, Vinit & Lahti, Tom & Wincent, Joakim, 2021. "AI-enabled business-model innovation and transformation in industrial ecosystems: A framework, model and outline for further research," Journal of Business Research, Elsevier, vol. 127(C), pages 85-95.
    22. Brijesh Sivathanu, 2019. "Adoption of Industrial IoT (IIoT) in Auto-Component Manufacturing SMEs in India," Information Resources Management Journal (IRMJ), IGI Global, vol. 32(2), pages 52-75, April.
    23. Lene Kromann & Anders Sørensen, 2019. "Automation, performance and international competition: a firm-level comparison of process innovation," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 691-722.
    24. Le, Duc Nha & Le Tuan, Loc & Dang Tuan, Minh Nguyen, 2019. "Smart-building management system: An Internet-of-Things (IoT) application business model in Vietnam," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 22-35.
    25. Hall, Bronwyn H. & Jaffe, Adam B., 2018. "Measuring Science, Technology, and Innovation: A Review," Annals of Science and Technology Policy, now publishers, vol. 2(1), pages 1-74, March.
    26. Bahoo, Salman & Alon, Ilan & Paltrinieri, Andrea, 2020. "Sovereign wealth funds: Past, present and future," International Review of Financial Analysis, Elsevier, vol. 67(C).
    27. 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.
    28. Spanos, Yiannis E. & Voudouris, Irini, 2009. "Antecedents and trajectories of AMT adoption: The case of Greek manufacturing SMEs," Research Policy, Elsevier, vol. 38(1), pages 144-155, February.
    29. Sjödin, David & Parida, Vinit & Palmié, Maximilian & Wincent, Joakim, 2021. "How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops," Journal of Business Research, Elsevier, vol. 134(C), pages 574-587.
    30. Mahmood, Tarique & Mubarik, Muhammad Shujaat, 2020. "Balancing innovation and exploitation in the fourth industrial revolution: Role of intellectual capital and technology absorptive capacity," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    31. 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.
    32. Mekhail Mustak & Joni Salminen & Loïc Plé & Jochen Wirtz, 2021. "Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda," Post-Print hal-03269994, HAL.
    33. Zhang, Yi & Huang, Ying & Porter, Alan L. & Zhang, Guangquan & Lu, Jie, 2019. "Discovering and forecasting interactions in big data research: A learning-enhanced bibliometric study," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 795-807.
    34. Juhong Chen & Ruijun Zhang & Di Wu, 2018. "Equipment Maintenance Business Model Innovation for Sustainable Competitive Advantage in the Digitalization Context: Connotation, Types, and Measuring," Sustainability, MDPI, vol. 10(11), pages 1-20, October.
    35. Bertels, K. & Jacques, J. M. & Neuberg, L. & Gatot, L., 1999. "Qualitative company performance evaluation: Linear discriminant analysis and neural network models," European Journal of Operational Research, Elsevier, vol. 115(3), pages 608-615, June.
    36. Bob Kijkuit & Jan Van Den Ende, 2007. "The Organizational Life of an Idea: Integrating Social Network, Creativity and Decision‐Making Perspectives," Journal of Management Studies, Wiley Blackwell, vol. 44(6), pages 863-882, September.
    37. Kahle, Júlia Hofmeister & Marcon, Érico & Ghezzi, Antonio & Frank, Alejandro G., 2020. "Smart Products value creation in SMEs innovation ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
    38. Lalicic, Lidija & Weismayer, Christian, 2021. "Consumers’ reasons and perceived value co-creation of using artificial intelligence-enabled travel service agents," Journal of Business Research, Elsevier, vol. 129(C), pages 891-901.
    39. Tor Helge Aas & Karl Joachim Breunig, 2017. "Conceptualizing innovation capabilities: A contingency perspective," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 13(1), pages 7-24.
    40. J. P. Eggers & Sarah Kaplan, 2009. "Cognition and Renewal: Comparing CEO and Organizational Effects on Incumbent Adaptation to Technical Change," Organization Science, INFORMS, vol. 20(2), pages 461-477, April.
    41. Thune, Taran & Mina, Andrea, 2016. "Hospitals as innovators in the health-care system: A literature review and research agenda," Research Policy, Elsevier, vol. 45(8), pages 1545-1557.
    42. Musiolik, Jörg & Markard, Jochen & Hekkert, Marko & Furrer, Bettina, 2020. "Creating innovation systems: How resource constellations affect the strategies of system builders," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    43. Marcel Papert & Alexander Pflaum, 2017. "Development of an Ecosystem Model for the Realization of Internet of Things (IoT) Services in Supply Chain Management," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(2), pages 175-189, May.
    44. Balsmeier, Benjamin & Woerter, Martin, 2019. "Is this time different? How digitalization influences job creation and destruction," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    45. 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.
    46. Ilaria Gandin & Claudio Cozza, 2019. "Can we predict firms’ innovativeness? The identification of innovation performers in an Italian region through a supervised learning approach," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-16, June.
    47. Broto Rauth Bhardwaj, 2020. "Adoption, diffusion and consumer behavior in technopreneurship," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 16(2), pages 179-220, July.
    48. Benitez, Guilherme Brittes & Ayala, Néstor Fabián & Frank, Alejandro G., 2020. "Industry 4.0 innovation ecosystems: An evolutionary perspective on value cocreation," International Journal of Production Economics, Elsevier, vol. 228(C).
    49. Bahoo, Salman, 2020. "Corruption in banks: A bibliometric review and agenda," Finance Research Letters, Elsevier, vol. 35(C).
    50. Paschen, Ulrich & Pitt, Christine & Kietzmann, Jan, 2020. "Artificial intelligence: Building blocks and an innovation typology," Business Horizons, Elsevier, vol. 63(2), pages 147-155.
    51. Fetscherin, Marc & Voss, Hinrich & Gugler, Philippe, 2010. "30 Years of foreign direct investment to China: An interdisciplinary literature review," International Business Review, Elsevier, vol. 19(3), pages 235-246, June.
    52. Mustak, Mekhail & Salminen, Joni & Plé, Loïc & Wirtz, Jochen, 2021. "Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 389-404.
    53. Yun, JinHyo Joseph & Won, DongKyu & Jeong, EuiSeob & Park, KyungBae & Yang, JeongHo & Park, JiYoung, 2016. "The relationship between technology, business model, and market in autonomous car and intelligent robot industries," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 142-155.
    54. Gaizka Garechana & Rosa Río-Belver & Iñaki Bildosola & Marisela Rodríguez Salvador, 2017. "Effects of innovation management system standardization on firms: evidence from text mining annual reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1987-1999, June.
    55. Florez Ramos, Esmeralda & Blind, Knut, 2020. "Data portability effects on data-driven innovation of online platforms: Analyzing Spotify," Telecommunications Policy, Elsevier, vol. 44(9).
    56. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
    57. Kim, Namil & Lee, Hyeokseong & Kim, Wonjoon & Lee, Hyunjong & Suh, Jong Hwan, 2015. "Dynamic patterns of industry convergence: Evidence from a large amount of unstructured data," Research Policy, Elsevier, vol. 44(9), pages 1734-1748.
    58. Shen, Yung-Chi & Wang, Ming-Yeu & Yang, Ya-Chu, 2020. "Discovering the potential opportunities of scientific advancement and technological innovation: A case study of smart health monitoring technology," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    59. Ha, Sung Ho & Liu, Weina & Cho, Hune & Kim, Sang Hyun, 2015. "Technological advances in the fuel cell vehicle: Patent portfolio management," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 277-289.
    60. Wang, Xinyi & Zeng, Deming & Dai, Haiwen & Zhu, You, 2020. "Making the right business decision: Forecasting the binary NPD strategy in Chinese automotive industry with machine learning methods," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    61. Caputo, Francesco & Mazzoleni, Alberto & Pellicelli, Anna Claudia & Muller, Jens, 2020. "Over the mask of innovation management in the world of Big Data," Journal of Business Research, Elsevier, vol. 119(C), pages 330-338.
    62. Jan Kinne & Janna Axenbeck, 2020. "Web mining for innovation ecosystem mapping: a framework and a large-scale pilot study," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2011-2041, December.
    63. Charles Williams & Will Mitchell, 2004. "Focusing Firm Evolution: The Impact of Information Infrastructure on Market Entry by U.S. Telecommunications Companies, 1984--1998," Management Science, INFORMS, vol. 50(11), pages 1561-1575, November.
    64. Kannebley, Sergio Jr. & Porto, Geciane S. & Pazello, Elaine Toldo, 2005. "Characteristics of Brazilian innovative firms: An empirical analysis based on PINTEC--industrial research on technological innovation," Research Policy, Elsevier, vol. 34(6), pages 872-893, August.
    65. Gaur, Ajai & Kumar, Mukesh, 2018. "A systematic approach to conducting review studies: An assessment of content analysis in 25years of IB research," Journal of World Business, Elsevier, vol. 53(2), pages 280-289.
    66. Stine Øyna & Ilan Alon, 2018. "A Review of Born globals," International Studies of Management & Organization, Taylor & Francis Journals, vol. 48(2), pages 157-180, February.
    67. Kong, Dejing & Zhou, Yuan & Liu, Yufei & Xue, Lan, 2017. "Using the data mining method to assess the innovation gap: A case of industrial robotics in a catching-up country," Technological Forecasting and Social Change, Elsevier, vol. 119(C), pages 80-97.
    68. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2020. "Knowledge, robots and productivity in SMEs: Explaining the second digital wave," Journal of Business Research, Elsevier, vol. 108(C), pages 119-131.
    69. Richard R. Nelson, 1959. "The Simple Economics of Basic Scientific Research," Journal of Political Economy, University of Chicago Press, vol. 67, pages 297-297.
    70. Guo, Liang & Wei, Yinghong Susan & Sharma, Ruchi & Rong, Ke, 2017. "Investigating e-business models’ value retention for start-ups: The moderating role of venture capital investment intensity," International Journal of Production Economics, Elsevier, vol. 186(C), pages 33-45.
    71. Ilan Alon & John Anderson & Ziaul Haque Munim & Alice Ho, 2018. "A review of the internationalization of Chinese enterprises," Asia Pacific Journal of Management, Springer, vol. 35(3), pages 573-605, September.
    72. Camiña, Ester & Díaz-Chao, Ángel & Torrent-Sellens, Joan, 2020. "Automation technologies: Long-term effects for Spanish industrial firms," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    73. Santoro, Gabriele & Vrontis, Demetris & Thrassou, Alkis & Dezi, Luca, 2018. "The Internet of Things: Building a knowledge management system for open innovation and knowledge management capacity," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 347-354.
    74. Josef Åström & Wiebke Reim & Vinit Parida, 2022. "Value creation and value capture for AI business model innovation: a three-phase process framework," Review of Managerial Science, Springer, vol. 16(7), pages 2111-2133, October.
    75. Lee, In & Shin, Yong Jae, 2020. "Machine learning for enterprises: Applications, algorithm selection, and challenges," Business Horizons, Elsevier, vol. 63(2), pages 157-170.
    76. Bourke, Jane & Roper, Stephen, 2016. "AMT adoption and innovation: An investigation of dynamic and complementary effects," Technovation, Elsevier, vol. 55, pages 42-55.
    77. Saarikko, Ted & Westergren, Ulrika H. & Blomquist, Tomas, 2020. "Digital transformation: Five recommendations for the digitally conscious firm," Business Horizons, Elsevier, vol. 63(6), pages 825-839.
    78. Yongli Zhang & Sanggyun Na & Jianguang Niu & Beichen Jiang, 2018. "The Influencing Factors, Regional Difference and Temporal Variation of Industrial Technology Innovation: Evidence with the FOA-GRNN Model," Sustainability, MDPI, vol. 10(1), pages 1-19, January.
    79. Bahoo, Salman & Alon, Ilan & Paltrinieri, Andrea, 2020. "Corruption in international business: A review and research agenda," International Business Review, Elsevier, vol. 29(4).
    80. Bocquet, Rachel & Brossard, Olivier & Sabatier, Mareva, 2007. "Complementarities in organizational design and the diffusion of information technologies: An empirical analysis," Research Policy, Elsevier, vol. 36(3), pages 367-386, April.
    81. Salman Bahoo & Ilan Alon & Josanco Floreani, 2021. "Corruption in economics: a bibliometric analysis and research agenda," Applied Economics Letters, Taylor & Francis Journals, vol. 28(7), pages 565-578, April.
    82. Klarin, Anton, 2019. "Mapping product and service innovation: A bibliometric analysis and a typology," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    83. Sarah Cheah & Shenghui Wang, 2017. "Big data-driven business model innovation by traditional industries in the Chinese economy," Journal of Chinese Economic and Foreign Trade Studies, Emerald Group Publishing Limited, vol. 10(3), pages 229-251, October.
    84. Guannan Xu & Weijie Hu & Yuanyuan Qiao & Yuan Zhou, 2020. "Mapping an innovation ecosystem using network clustering and community identification: a multi-layered framework," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2057-2081, September.
    85. Palmié, Maximilian & Wincent, Joakim & Parida, Vinit & Caglar, Umur, 2020. "The evolution of the financial technology ecosystem: An introduction and agenda for future research on disruptive innovations in ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    86. Buhr, Helena & Funk, Russell J. & Owen-Smith, Jason, 2021. "The authenticity premium: Balancing conformity and innovation in high technology industries," Research Policy, Elsevier, vol. 50(1).
    87. Clarissa Rocha & Clariana Fernandes Narcizo & Enrico Gianotti, 2019. "Internet of Management Artifacts: Internet of Things Architecture for Business Model Renewal," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(08), pages 1-19, December.
    88. Sven M. Laudien & Birgit Daxböck, 2016. "The Influence Of The Industrial Internet Of Things On Business Model Design: A Qualitative-Empirical Analysis," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(08), pages 1-28, December.
    89. Li, Xin & Xie, Qianqian & Daim, Tugrul & Huang, Lucheng, 2019. "Forecasting technology trends using text mining of the gaps between science and technology: The case of perovskite solar cell technology," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 432-449.
    90. Andreas Hein & Jörg Weking & Maximilian Schreieck & Manuel Wiesche & Markus Böhm & Helmut Krcmar, 2019. "Value co-creation practices in business-to-business platform ecosystems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(3), pages 503-518, September.
    91. Russell, Martha G. & Smorodinskaya, Nataliya V., 2018. "Leveraging complexity for ecosystemic innovation," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 114-131.
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    19. Mbarki, Imen & Khan, Muhammad Arif & Karim, Sitara & Paltrinieri, Andrea & Lucey, Brian M., 2023. "Unveiling commodities-financial markets intersections from a bibliometric perspective," Resources Policy, Elsevier, vol. 83(C).
    20. Ciampi, Francesco & Faraoni, Monica & Ballerini, Jacopo & Meli, Francesco, 2022. "The co-evolutionary relationship between digitalization and organizational agility: Ongoing debates, theoretical developments and future research perspectives," Technological Forecasting and Social Change, Elsevier, vol. 176(C).

    More about this item

    Keywords

    Artificial intelligence; Corporate innovation; Bibliometrics analysis; content analysis; Business model; Review;
    All these keywords.

    JEL classification:

    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration
    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions

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