Can big data and predictive analytics improve social and environmental sustainability?

Citations

Cited by:

1. Su, Dan & Zhang, Lijun & Peng, Hua & Saeidi, Parvaneh & Tirkolaee, Erfan Babaee, 2023. "Technical challenges of blockchain technology for sustainable manufacturing paradigm in Industry 4.0 era using a fuzzy decision support system," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
2. Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
3. Chen, Jiandong & Xie, Qiaoli & Shahbaz, Muhammad & Song, Malin & Wu, Yuliang, 2021. "The fossil energy trade relations among BRICS countries," Energy, Elsevier, vol. 217(C).
4. Tang, Ming & Liao, Huchang, 2021. "Multi-attribute large-scale group decision making with data mining and subgroup leaders: An application to the development of the circular economy," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
5. Bag, Surajit & Rahman, Muhammad Sabbir & Srivastava, Gautam & Shore, Adam & Ram, Pratibha, 2023. "Examining the role of virtue ethics and big data in enhancing viable, sustainable, and digital supply chain performance," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
6. Stekelorum, Rebecca & Laguir, Issam & ElBaz, Jamal, 2020. "Can you hear the Eco? From SME environmental responsibility to social requirements in the supply chain," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
7. Benzidia, Smail & Makaoui, Naouel & Bentahar, Omar, 2021. "The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
8. Shaker Salem Abuzawida & Ahmad Bassam Alzubi & Kolawole Iyiola, 2023. "Sustainable Supply Chain Practices: An Empirical Investigation from the Manufacturing Industry," Sustainability, MDPI, vol. 15(19), pages 1-24, September.
9. Li, Ding & Gao, Ming & Hou, Wenxuan & Song, Malin & Chen, Jiandong, 2020. "A modified and improved method to measure economy-wide carbon rebound effects based on the PDA-MMI approach," Energy Policy, Elsevier, vol. 147(C).
10. 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).
11. Meadows, Maureen & Merendino, Alessandro & Dibb, Sally & Garcia-Perez, Alexeis & Hinton, Matthew & Papagiannidis, Savvas & Pappas, Ilias & Wang, Huamao, 2022. "Tension in the data environment: How organisations can meet the challenge," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
12. Kristoffersen, Eivind & Mikalef, Patrick & Blomsma, Fenna & Li, Jingyue, 2021. "Towards a business analytics capability for the circular economy," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
13. Bag, Surajit & Dhamija, Pavitra & Bryde, David J. & Singh, Rajesh Kumar, 2022. "Effect of eco-innovation on green supply chain management, circular economy capability, and performance of small and medium enterprises," Journal of Business Research, Elsevier, vol. 141(C), pages 60-72.
14. Li, Ying & Dai, Jing & Cui, Li, 2020. "The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 229(C).
15. Kristoffersen, Eivind & Mikalef, Patrick & Blomsma, Fenna & Li, Jingyue, 2021. "The effects of business analytics capability on circular economy implementation, resource orchestration capability, and firm performance," International Journal of Production Economics, Elsevier, vol. 239(C).
16. Behl, Abhishek & Jayawardena, Nirma & Ishizaka, Alessio & Gupta, Manish & Shankar, Amit, 2022. "Gamification and gigification: A multidimensional theoretical approach," Journal of Business Research, Elsevier, vol. 139(C), pages 1378-1393.
17. Zubcoff, Jose-Jacobo & Olcina, Jorge & Morales, Javier & Mazón, Jose-Norberto & Mayoral, Asunción M., 2023. "Usefulness of open data to determine the incidence of COVID-19 and its relationship with atmospheric variables in Spain during the 2020 lockdown," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
18. 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).
19. Du, Juntao & Shen, Zhiyang & Song, Malin & Zhang, Linda, 2023. "Nexus between digital transformation and energy technology innovation: An empirical test of A-share listed enterprises," Energy Economics, Elsevier, vol. 120(C).
    • Juntao Du & Zhiyang Shen & Malin Song & Linda Zhang, 2023. "Nexus between digital transformation and energy technology innovation: An empirical test of A-share listed enterprises," Post-Print hal-04129371, HAL.
20. Chen, Jiandong & Gao, Ming & Mangla, Sachin Kumar & Song, Malin & Wen, Jie, 2020. "Effects of technological changes on China's carbon emissions," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
21. Sreenivasan Jayashree & Mohammad Nurul Hassan Reza & Chinnasamy Agamudai Nambi Malarvizhi & Hesti Maheswari & Zohre Hosseini & Azilah Kasim, 2021. "The Impact of Technological Innovation on Industry 4.0 Implementation and Sustainability: An Empirical Study on Malaysian Small and Medium Sized Enterprises," Sustainability, MDPI, vol. 13(18), pages 1-23, September.
22. Chen, Yantai & Luo, Haibei & Chen, Jin & Guo, Yanlin, 2022. "Building data-driven dynamic capabilities to arrest knowledge hiding: A knowledge management perspective," Journal of Business Research, Elsevier, vol. 139(C), pages 1138-1154.
23. Zhu, Qing & Ma, Dan & He, Xin, 2023. "Digital transformation and firms' pollution emissions," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
24. Xuan Chang & Jinye Li, 2022. "Effects of the Digital Economy on Carbon Emissions in China: A Spatial Durbin Econometric Analysis," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
25. Nandi, Santosh & Gonela, Vinay, 2022. "Rainwater harvesting for domestic use: A systematic review and outlook from the utility policy and management perspectives," Utilities Policy, Elsevier, vol. 77(C).
26. Xie, Xuemei & Wu, Yonghui & Palacios-Marqués, Daniel & Ribeiro-Navarrete, Samuel, 2022. "Business networks and organizational resilience capacity in the digital age during COVID-19: A perspective utilizing organizational information processing theory," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
27. Kamble, Sachin S. & Belhadi, Amine & Gunasekaran, Angappa & Ganapathy, L. & Verma, Surabhi, 2021. "A large multi-group decision-making technique for prioritizing the big data-driven circular economy practices in the automobile component manufacturing industry," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
28. Chen, Jiandong & Xie, Qiaoli & Shahbaz, Muhammad & Song, Malin & Li, Li, 2022. "Impact of bilateral trade on fossil energy consumption in BRICS: An extended decomposition analysis," Economic Modelling, Elsevier, vol. 106(C).
29. Zarinah Abdul Rasit, 2022. "Technology Industry Revolution 4.0 and Environmental Performance: The Mediating Role of Environmental Management Accounting ," GATR Journals afr213, Global Academy of Training and Research (GATR) Enterprise.
30. Modgil, Sachin & Gupta, Shivam & Sivarajah, Uthayasankar & Bhushan, Bharat, 2021. "Big data-enabled large-scale group decision making for circular economy: An emerging market context," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
31. Ahmadova, Gozal & Delgado-Márquez, Blanca L. & Pedauga, Luis E. & Leyva-de la Hiz, Dante I., 2022. "Too good to be true: The inverted U-shaped relationship between home-country digitalization and environmental performance," Ecological Economics, Elsevier, vol. 196(C).
32. Choi, Hyoung-Yong & Park, Junyoung, 2022. "Do data-driven CSR initiatives improve CSR performance? The importance of big data analytics capability," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
33. de Souza, Michele & Pereira, Giancarlo Medeiros & Lopes de Sousa Jabbour, Ana Beatriz & Chiappetta Jabbour, Charbel Jose & Trento, Luiz Reni & Borchardt, Miriam & Zvirtes, Leandro, 2021. "A digitally enabled circular economy for mitigating food waste: Understanding innovative marketing strategies in the context of an emerging economy," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
34. Sachini Weerasekara & Zhenyuan Lu & Burcu Ozek & Jacqueline Isaacs & Sagar Kamarthi, 2022. "Trends in Adopting Industry 4.0 for Asset Life Cycle Management for Sustainability: A Keyword Co-Occurrence Network Review and Analysis," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
35. Broccardo, Laura & Zicari, Adrián & Jabeen, Fauzia & Bhatti, Zeeshan A., 2023. "How digitalization supports a sustainable business model: A literature review," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
36. Chen, Jiandong & Huang, Shasha & Shen, Zhiyang & Song, Malin & Zhu, Zunhong, 2022. "Impact of sulfur dioxide emissions trading pilot scheme on pollution emissions intensity: A study based on the synthetic control method," Energy Policy, Elsevier, vol. 161(C).
37. Aljumah, Ahmad Ibrahim & Nuseir, Mohammed T. & Alam, Md. Mahmudul, 2021. "Organizational Performance and Capabilities to Analyze Big Data: Do the Ambidexterity and Business Value of Big Data Analytics Matter?," OSF Preprints an8er, Center for Open Science.
38. James, Ajith Tom & Kumar, Girish & Tayal, Pushpal & Chauhan, Ashwin & Wadhawa, Chirag & Panchal, Jasmin, 2022. "Analysis of human resource management challenges in implementation of industry 4.0 in Indian automobile industry," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
39. 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).
40. Kusi-Sarpong, Simonov & Orji, Ifeyinwa Juliet & Gupta, Himanshu & Kunc, Martin, 2021. "Risks associated with the implementation of big data analytics in sustainable supply chains," Omega, Elsevier, vol. 105(C).
41. Centobelli, Piera & Cerchione, Roberto & Esposito, Emilio & Oropallo, Eugenio, 2021. "Surfing blockchain wave, or drowning? Shaping the future of distributed ledgers and decentralized technologies," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
42. Shuang Zhou & Chaobo Zhou, 2021. "Evaluation of China’s low-carbon city pilot policy: Evidence from 210 prefecture-level cities," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-16, October.
43. Trujillo-Gallego, Mariana & Sarache, William & Sousa Jabbour, Ana Beatriz Lopes de, 2022. "Digital technologies and green human resource management: Capabilities for GSCM adoption and enhanced performance," International Journal of Production Economics, Elsevier, vol. 249(C).
44. Bendig, David & Schulz, Colin & Theis, Lukas & Raff, Stefan, 2023. "Digital orientation and environmental performance in times of technological change," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
45. Awan, Usama & Shamim, Saqib & Khan, Zaheer & Zia, Najam Ul & Shariq, Syed Muhammad & Khan, Muhammad Naveed, 2021. "Big data analytics capability and decision-making: The role of data-driven insight on circular economy performance," Technological Forecasting and Social Change, Elsevier, vol. 168(C).