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Big Data sources and methods for social and economic analyses

Citations

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Cited by:

  1. 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.
  2. Lamba, Kuldeep & Singh, Surya Prakash, 2019. "Dynamic supplier selection and lot-sizing problem considering carbon emissions in a big data environment," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 573-584.
  3. Gupta, Anushri & Panagiotopoulos, Panos & Bowen, Frances, 2020. "An orchestration approach to smart city data ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
  4. 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).
  5. Chiarello, Filippo & Fantoni, Gualtiero & Hogarth, Terence & Giordano, Vito & Baltina, Liga & Spada, Irene, 2021. "Towards ESCO 4.0 – Is the European classification of skills in line with Industry 4.0? A text mining approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
  6. Zhang, Yucheng & Xu, Shan & Zhang, Long & Yang, Mengxi, 2021. "Big data and human resource management research: An integrative review and new directions for future research," Journal of Business Research, Elsevier, vol. 133(C), pages 34-50.
  7. Forliano, Canio & Bullini Orlandi, Ludovico & Zardini, Alessandro & Rossignoli, Cecilia, 2023. "Technological orientation and organizational resilience to Covid-19: The mediating role of strategy's digital maturity," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
  8. Stavros Kalogiannidis & Dimitrios Kalfas & Efstratios Loizou & Olympia Papaevangelou & Fotios Chatzitheodoridis, 2023. "Smart Sustainable Marketing and Emerging Technologies: Evidence from the Greek Business Market," Sustainability, MDPI, vol. 16(1), pages 1-21, December.
  9. Chong, Woon Kian & Chang, Chiachi, 2024. "Information exploitation of human resource data with persistent homology," Journal of Business Research, Elsevier, vol. 172(C).
  10. Ashouri, Sajad & Hajikhani, Arash & Suominen, Arho & Pukelis, Lukas & Cunningham, Scott W., 2024. "Measuring digitalization at scale using web scraped data," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
  11. Cankun Wei & Meichen Fu & Li Wang & Hanbing Yang & Feng Tang & Yuqing Xiong, 2022. "The Research Development of Hedonic Price Model-Based Real Estate Appraisal in the Era of Big Data," Land, MDPI, vol. 11(3), pages 1-30, February.
  12. 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.
  13. Francis Rathinam & Sayak Khatua & Zeba Siddiqui & Manya Malik & Pallavi Duggal & Samantha Watson & Xavier Vollenweider, 2021. "Using big data for evaluating development outcomes: A systematic map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(3), September.
  14. Liedong, Tahiru Azaaviele & Rajwani, Tazeeb & Lawton, Thomas C., 2020. "Information and nonmarket strategy: Conceptualizing the interrelationship between big data and corporate political activity," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
  15. Veronika Belousova & Oxana Bondarenko & Nikolay Chichkanov & Denis Lebedev & Ian Miles, 2022. "Coping with Greenhouse Gas Emissions: Insights from Digital Business Services," Energies, MDPI, vol. 15(8), pages 1-26, April.
  16. Weerasinghe, Kasuni & Scahill, Shane L. & Pauleen, David J. & Taskin, Nazim, 2022. "Big data analytics for clinical decision-making: Understanding health sector perceptions of policy and practice," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  17. Piñeiro-Chousa, Juan & López-Cabarcos, M.Ángeles & Ribeiro-Soriano, Domingo, 2020. "Does investor attention influence water companies’ stock returns?," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
  18. Michele Galeotti & Rosa Lombardi & Paola Paoloni & Fabiana Roberto, 2022. "Big data and sustainability reports: The current approach to non-accounting data management," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2022(2 Suppl.), pages 95-116.
  19. Kanyarat (Lek) Sanoran & Jomsurang Ruangprapun, 2023. "Initial Implementation of Data Analytics and Audit Process Management," Sustainability, MDPI, vol. 15(3), pages 1-14, January.
  20. Carlos Ferreira & Alessandro Merendino & Maureen Meadows, 2023. "Disruption and Legitimacy: Big Data in Society," Information Systems Frontiers, Springer, vol. 25(3), pages 1081-1100, June.
  21. Miikka Blomster & Timo Koivumäki, 2022. "Exploring the resources, competencies, and capabilities needed for successful machine learning projects in digital marketing," Information Systems and e-Business Management, Springer, vol. 20(1), pages 123-169, March.
  22. Wei-wei Zhang & Jyoti Bhola & Rajeev Kumar & Nitin Saluja, 2022. "Study and analysis of big data for characterization of user association in large scale," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 375-384, March.
  23. Fabio Nappo & Alessandra Lardo & Maria Teresa Bianchi & Federico Schimperna, 2023. "The impact of digitalisation on professional football clubs," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2023(2), pages 117-136.
  24. Juan D Montoro-Pons & Manuel Cuadrado-García, 2021. "Analyzing online search patterns of music festival tourists," Tourism Economics, , vol. 27(6), pages 1276-1300, September.
  25. Bogdan Oancea, 2024. "Big data in economics," Papers 2406.11913, arXiv.org.
  26. Han, Chunjia & Yang, Mu & Piterou, Athena, 2021. "Do news media and citizens have the same agenda on COVID-19? an empirical comparison of twitter posts," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
  27. Francesco Cappa & Stefano Franco & Federica Rosso, 2022. "Citizens and cities: Leveraging citizen science and big data for sustainable urban development," Business Strategy and the Environment, Wiley Blackwell, vol. 31(2), pages 648-667, February.
  28. Ribeiro-Navarrete, Samuel & Saura, Jose Ramon & Palacios-Marqués, Daniel, 2021. "Towards a new era of mass data collection: Assessing pandemic surveillance technologies to preserve user privacy," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
  29. Garbero, Alessandra & Carneiro, Bia & Resce, Giuliano, 2021. "Harnessing the power of machine learning analytics to understand food systems dynamics across development projects," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
  30. Bottai, Carlo & Crosato, Lisa & Domenech, Josep & Guerzoni, Marco & Liberati, Caterina, 2024. "Scraping innovativeness from corporate websites: Empirical evidence on Italian manufacturing SMEs," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
  31. Aykroyd, Robert G. & Leiva, Víctor & Ruggeri, Fabrizio, 2019. "Recent developments of control charts, identification of big data sources and future trends of current research," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 221-232.
  32. Wang, Huamao & Yao, Yumei & Salhi, Said, 2020. "Tension in big data using machine learning: Analysis and applications," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
  33. Yang, Xiaoping & Cao, Dongmei & Andrikopoulos, Panagiotis & Yang, Zonghan & Bass, Tina, 2020. "Online social networks, media supervision and investment efficiency: An empirical examination of Chinese listed firms," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
  34. Occhini, Giulia & Tranos, Emmanouil & Wolf, Levi John, 2023. "Occupational segregation in the digital economy? A Natural Language Processing approach using UK Web Data," SocArXiv z8xta, Center for Open Science.
  35. Desamparados Blazquez & Josep Domenech & Jose-Maria Garcia-Alvarez-Coque, 2018. "Assessing Technology Platforms for Sustainability with Web Data Mining Techniques," Sustainability, MDPI, vol. 10(12), pages 1-15, November.
  36. Hinge, Gilbert & Surampalli, Rao Y. & Goyal, Manish Kumar & Gupta, Brij B. & Chang, Xiaojun, 2021. "Soil carbon and its associate resilience using big data analytics: For food Security and environmental management," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
  37. Martínez-Caro, Eva & Cegarra-Navarro, Juan Gabriel & Alfonso-Ruiz, Francisco Javier, 2020. "Digital technologies and firm performance: The role of digital organisational culture," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
  38. Ibrahim, Awad Elsayed Awad & Elamer, Ahmed A. & Ezat, Amr Nazieh, 2021. "The convergence of big data and accounting: innovative research opportunities," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
  39. Matheus Pereira Libório & Petr Iakovlevitch Ekel & Carlos Augusto Paiva Martins, 2023. "Economic analysis through alternative data and big data techniques: what do they tell about Brazil?," SN Business & Economics, Springer, vol. 3(1), pages 1-16, January.
  40. Boccali, Filippo & Mariani, Marcello M. & Visani, Franco & Mora-Cruz, Alexandra, 2022. "Innovative value-based price assessment in data-rich environments: Leveraging online review analytics through Data Envelopment Analysis to empower managers and entrepreneurs," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  41. Yu, Baojun & Li, Changming & Mirza, Nawazish & Umar, Muhammad, 2022. "Forecasting credit ratings of decarbonized firms: Comparative assessment of machine learning models," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  42. Yufei Wang & Mangirdas Morkūnas & Jinzhao Wei, 2024. "Strategic Synergies: Unveiling the Interplay of Game Theory and Cultural Dynamics in a Globalized World," Games, MDPI, vol. 15(4), pages 1-25, June.
  43. Alnoor Bhimani, 2020. "Digital data and management accounting: why we need to rethink research methods," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(1), pages 9-23, April.
  44. Zhu, Lin & Cunningham, Scott W., 2022. "Unveiling the knowledge structure of technological forecasting and social change (1969–2020) through an NMF-based hierarchical topic model," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  45. Brewis, Claire & Dibb, Sally & Meadows, Maureen, 2023. "Leveraging big data for strategic marketing: A dynamic capabilities model for incumbent firms," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
  46. Rodgers, Waymond & Degbey, William Y. & Housel, Thomas J. & Arslan, Ahmad, 2020. "Microfoundations of collaborative networks: The impact of social capital formation and learning on investment risk assessment," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
  47. Neirotti, Paolo & Pesce, Danilo & Battaglia, Daniele, 2021. "Algorithms for operational decision-making: An absorptive capacity perspective on the process of converting data into relevant knowledge," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
  48. Dörr, Julian Oliver & Kinne, Jan & Lenz, David & Licht, Georg & Winker, Peter, 2021. "An integrated data framework for policy guidance in times of dynamic economic shocks," ZEW Discussion Papers 21-062, ZEW - Leibniz Centre for European Economic Research.
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