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Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations

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Cited by:

  1. Bag, Surajit & Dhamija, Pavitra & Singh, Rajesh Kumar & Rahman, Muhammad Sabbir & Sreedharan, V. Raja, 2023. "Big data analytics and artificial intelligence technologies based collaborative platform empowering absorptive capacity in health care supply chain: An empirical study," Journal of Business Research, Elsevier, vol. 154(C).
  2. Abhishek Behl & Pankaj Dutta & Zongwei Luo & Pratima Sheorey, 2022. "Enabling artificial intelligence on a donation-based crowdfunding platform: a theoretical approach," Annals of Operations Research, Springer, vol. 319(1), pages 761-789, December.
  3. Showimy Aldossari & Umi Asma’ Mokhtar & Ahmad Tarmizi Abdul Ghani, 2023. "Factor Influencing the Adoption of Big Data Analytics: A Systematic Literature and Experts Review," SAGE Open, , vol. 13(4), pages 21582440231, December.
  4. Ahmed, Adeel & Bhatti, Sabeen Hussain & Gölgeci, Ismail & Arslan, Ahmad, 2022. "Digital platform capability and organizational agility of emerging market manufacturing SMEs: The mediating role of intellectual capital and the moderating role of environmental dynamism," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
  5. Shivam Gupta & Sachin Modgil & Piera Centobelli & Roberto Cerchione & Serena Strazzullo, 2022. "Additive Manufacturing and Green Information Systems as Technological Capabilities for Firm Performance," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(4), pages 515-534, December.
  6. Dubey, Rameshwar & Bryde, David J. & Dwivedi, Yogesh K. & Graham, Gary & Foropon, Cyril, 2022. "Impact of artificial intelligence-driven big data analytics culture on agility and resilience in humanitarian supply chain: A practice-based view," International Journal of Production Economics, Elsevier, vol. 250(C).
  7. Zhao, Nanyang & Hong, Jiangtao & Lau, Kwok Hung, 2023. "Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model," International Journal of Production Economics, Elsevier, vol. 259(C).
  8. Surajit Bag & Gautam Srivastava & Anass Cherrafi & Ahad Ali & Rajesh Kumar Singh, 2024. "Data‐driven insights for circular and sustainable food supply chains: An empirical exploration of big data and predictive analytics in enhancing social sustainability performance," Business Strategy and the Environment, Wiley Blackwell, vol. 33(2), pages 1369-1396, February.
  9. Asterios Stroumpoulis & Evangelia Kopanaki, 2022. "Theoretical Perspectives on Sustainable Supply Chain Management and Digital Transformation: A Literature Review and a Conceptual Framework," Sustainability, MDPI, vol. 14(8), pages 1-30, April.
  10. Alshawawreh, Ali Ra’Ed & Liébana-Cabanillas, Francisco & Blanco-Encomienda, Francisco Javier, 2024. "Impact of big data analytics on telecom companies' competitive advantage," Technology in Society, Elsevier, vol. 76(C).
  11. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Gupta, Shivam & Sivarajah, Uthayasankar & Bag, Surajit, 2023. "Assessing the impact of big data analytics on decision-making processes, forecasting, and performance of a firm," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  12. Zhang, Qingyu & Gao, Bohong & Luqman, Adeel, 2022. "Linking green supply chain management practices with competitiveness during covid 19: The role of big data analytics," Technology in Society, Elsevier, vol. 70(C).
  13. Ashaari, Mohamed Azlan & Singh, Karpal Singh Dara & Abbasi, Ghazanfar Ali & Amran, Azlan & Liebana-Cabanillas, Francisco J., 2021. "Big data analytics capability for improved performance of higher education institutions in the Era of IR 4.0: A multi-analytical SEM & ANN perspective," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
  14. Quang-Huy Ngo, 2023. "The Impact of Entrepreneurial Orientation on SMEs’ Performance in a Transitional Economy: The Mediating Role of Differentiation Advantages and Innovation Capability," SAGE Open, , vol. 13(4), pages 21582440231, October.
  15. Dignity Paradza & Olawande Daramola, 2021. "Business Intelligence and Business Value in Organisations: A Systematic Literature Review," Sustainability, MDPI, vol. 13(20), pages 1-27, October.
  16. Kinkel, Steffen & Capestro, Mauro & Di Maria, Eleonora & Bettiol, Marco, 2023. "Artificial intelligence and relocation of production activities: An empirical cross-national study," International Journal of Production Economics, Elsevier, vol. 261(C).
  17. Tan, Fuqiang & Zhang, Qingyu & Mehrotra, Ankit & Attri, Rekha & Tiwari, Himanshi, 2024. "Unlocking venture growth: Synergizing big data analytics, artificial intelligence, new product development practices, and inter-organizational digital capability," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
  18. Samadhiya, Ashutosh & Yadav, Sanjeev & Kumar, Anil & Majumdar, Abhijit & Luthra, Sunil & Garza-Reyes, Jose Arturo & Upadhyay, Arvind, 2023. "The influence of artificial intelligence techniques on disruption management: Does supply chain dynamism matter?," Technology in Society, Elsevier, vol. 75(C).
  19. Delke, Vincent & Schiele, Holger & Buchholz, Wolfgang & Kelly, Stephen, 2023. "Implementing Industry 4.0 technologies: Future roles in purchasing and supply management," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  20. Saumyaranjan Sahoo & Arvind Upadhyay & Anil Kumar, 2023. "Circular economy practices and environmental performance: Analysing the role of big data analytics capability and responsible research and innovation," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 6029-6046, December.
  21. Christian Hendriksen, 2023. "Artificial intelligence for supply chain management: Disruptive innovation or innovative disruption?," Journal of Supply Chain Management, Institute for Supply Management, vol. 59(3), pages 65-76, July.
  22. Surajit Bag & Muhammad Sabbir Rahman, 2024. "Navigating circular economy: Unleashing the potential of political and supply chain analytics skills among top supply chain executives for environmental orientation, regenerative supply chain practice," Business Strategy and the Environment, Wiley Blackwell, vol. 33(2), pages 504-528, February.
  23. Mishra, Deepa Bhatt & Haider, Imran & Gunasekaran, Angappa & Sakib, Md. Nazmus & Malik, Nishtha & Rana, Nripendra P., 2023. "“Better together”: Right blend of business strategy and digital transformation strategies," International Journal of Production Economics, Elsevier, vol. 266(C).
  24. Wong, David T.W. & Ngai, Eric W.T., 2023. "The impact of advanced manufacturing technology, sensing and analytics capabilities, and planning comprehensiveness on sustained competitive advantage: The moderating role of environmental uncertainty," International Journal of Production Economics, Elsevier, vol. 265(C).
  25. 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).
  26. Rodríguez-Espíndola, Oscar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel & Emrouznejad, Ali, 2022. "Analysis of the adoption of emergent technologies for risk management in the era of digital manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
  27. Reem Mahmoud Ahmad Mashat, 2021. "The Effect of the Use and Knowledge of AI on the Advanced Entrepreneurship in Saudis Small Business and Startups," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(12), pages 1-35, July.
  28. Bag, Surajit & Pretorius, Jan Ham Christiaan & Gupta, Shivam & Dwivedi, Yogesh K., 2021. "Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
  29. Shafique, Muhammad Noman & Yeo, Sook Fern & Tan, Cheng Ling, 2024. "Roles of top management support and compatibility in big data predictive analytics for supply chain collaboration and supply chain performance," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
  30. Rahman, Muhammad Sabbir & Bag, Surajit & Gupta, Shivam & Sivarajah, Uthayasankar, 2023. "Technology readiness of B2B firms and AI-based customer relationship management capability for enhancing social sustainability performance," Journal of Business Research, Elsevier, vol. 156(C).
  31. Liao, Zhongju & Chen, Jie & Chen, Xueli & Song, Malin, 2024. "Digital platform capability, environmental innovation quality, and firms’ competitive advantage: The moderating role of environmental uncertainty," International Journal of Production Economics, Elsevier, vol. 268(C).
  32. Liu, Yanfeng & Li, Xue & Yuen, Kum Fai, 2023. "Revenge buying: The role of negative emotions caused by lockdowns," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
  33. Kirti Nayal & Rakesh D. Raut & Vinay Surendra Yadav & Pragati Priyadarshinee & Balkrishna E. Narkhede, 2022. "The impact of sustainable development strategy on sustainable supply chain firm performance in the digital transformation era," Business Strategy and the Environment, Wiley Blackwell, vol. 31(3), pages 845-859, March.
  34. 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.
  35. Oduro, Stephen & De Nisco, Alessandro & Mainolfi, Giada, 2023. "Do digital technologies pay off? A meta-analytic review of the digital technologies/firm performance nexus," Technovation, Elsevier, vol. 128(C).
  36. Bodendorf, Frank & Xie, Qiao & Merkl, Philipp & Franke, Jörg, 2022. "A multi-perspective approach to support collaborative cost management in supplier-buyer dyads," International Journal of Production Economics, Elsevier, vol. 245(C).
  37. Di Vaio, Assunta & Hassan, Rohail & Alavoine, Claude, 2022. "Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  38. Baoshan Ge & Liyi Zhao, 2022. "The impact of the integration of opportunity and resources of new ventures on entrepreneurial performance: The moderating role of BDAC‐AI," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 440-461, May.
  39. Yu, Yubing & Xu, Jiawei & Zhang, Justin Z. & Liu, Yulong (David) & Kamal, Muhammad Mustafa & Cao, Yanhong, 2024. "Unleashing the power of AI in manufacturing: Enhancing resilience and performance through cognitive insights, process automation, and cognitive engagement," International Journal of Production Economics, Elsevier, vol. 270(C).
  40. Zhang, Haili & Song, Michael & Wang, Yufan, 2023. "Does AI-infused operations capability enhance or impede the relationship between information technology capability and firm performance?," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
  41. Chen, Yi-Ting & Sun, Edward W. & Chang, Ming-Feng & Lin, Yi-Bing, 2021. "Pragmatic real-time logistics management with traffic IoT infrastructure: Big data predictive analytics of freight travel time for Logistics 4.0," International Journal of Production Economics, Elsevier, vol. 238(C).
  42. Huidong Sun & Mustafa Raza Rabbani & Muhammad Safdar Sial & Siming Yu & José António Filipe & Jacob Cherian, 2020. "Identifying Big Data’s Opportunities, Challenges, and Implications in Finance," Mathematics, MDPI, vol. 8(10), pages 1-19, October.
  43. Song, Malin & Peng, Licheng & Shang, Yuping & Zhao, Xin, 2022. "Green technology progress and total factor productivity of resource-based enterprises: A perspective of technical compensation of environmental regulation," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  44. Nitin S. Solke & Pritesh Shah & Ravi Sekhar & T. P. Singh, 2022. "Machine Learning-Based Predictive Modeling and Control of Lean Manufacturing in Automotive Parts Manufacturing Industry," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(1), pages 89-112, March.
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