IDEAS home Printed from https://ideas.repec.org/r/eee/ininma/v38y2018i1p187-195.html
   My bibliography  Save this item

Big data technologies: An empirical investigation on their adoption, benefits and risks for companies

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Acharya, Abhilash & Singh, Sanjay Kumar & Pereira, Vijay & Singh, Poonam, 2018. "Big data, knowledge co-creation and decision making in fashion industry," International Journal of Information Management, Elsevier, vol. 42(C), pages 90-101.
  2. 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).
  3. Arno de Caigny & Kristof Coussement & Koen W. de Bock & Stefan Lessmann, 2019. "Incorporating textual information in customer churn prediction models based on a convolutional neural network," Post-Print hal-02275958, HAL.
  4. Fabíola Kaczam & Julio Cezar Mairesse Siluk & Gil Eduardo Guimaraes & Gilnei Luiz Moura & Wesley Vieira Silva & Claudimar Pereira Veiga, 2022. "Establishment of a typology for startups 4.0," Review of Managerial Science, Springer, vol. 16(3), pages 649-680, April.
  5. Calvard, Thomas Stephen & Jeske, Debora, 2018. "Developing human resource data risk management in the age of big data," International Journal of Information Management, Elsevier, vol. 43(C), pages 159-164.
  6. Gupta, Shivam & Kar, Arpan Kumar & Baabdullah, Abdullah & Al-Khowaiter, Wassan A.A., 2018. "Big data with cognitive computing: A review for the future," International Journal of Information Management, Elsevier, vol. 42(C), pages 78-89.
  7. 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.
  8. Luay Jum’a & Muhammad Ikram & Ziad Alkalha & Maher Alaraj, 2022. "Do Companies Adopt Big Data as Determinants of Sustainability: Evidence from Manufacturing Companies in Jordan," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(4), pages 479-494, December.
  9. Tursunbayeva, Aizhan & Di Lauro, Stefano & Pagliari, Claudia, 2018. "People analytics—A scoping review of conceptual boundaries and value propositions," International Journal of Information Management, Elsevier, vol. 43(C), pages 224-247.
  10. H. Kava & K. Spanaki & T. Papadopoulos & S. Despoudi & O. Rodriguez Espindola & M. Fakhimi, 2024. "Data analytics diffusion in the UK renewable energy sector: an innovation perspective," Post-Print hal-04478933, HAL.
  11. Nathalie Demoulin & Kristof Coussement, 2018. "Acceptance of text-mining systems: The signaling role of information quality," Post-Print hal-02111772, HAL.
  12. Clotilde Coron, 2019. "Analytics and Big Data in Human Resources: a study in the light of the notion of justification [L'Analytique et le Big Data en Ressources humaines : une étude au prisme de la notion de justificatio," Post-Print hal-02002397, HAL.
  13. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
  14. Carvalho, João Vidal & Rocha, Álvaro & Vasconcelos, José & Abreu, António, 2019. "A health data analytics maturity model for hospitals information systems," International Journal of Information Management, Elsevier, vol. 46(C), pages 278-285.
  15. Mahadi Bahari & Ibrahim Arpaci & Oguzhan Der & Fatih Akkoyun & Ali Ercetin, 2024. "Driving Agricultural Transformation: Unraveling Key Factors Shaping IoT Adoption in Smart Farming with Empirical Insights," Sustainability, MDPI, vol. 16(5), pages 1-22, March.
  16. Mostaghel, Rana & Oghazi, Pejvak & Parida, Vinit & Sohrabpour, Vahid, 2022. "Digitalization driven retail business model innovation: Evaluation of past and avenues for future research trends," Journal of Business Research, Elsevier, vol. 146(C), pages 134-145.
  17. Haneem, Faizura & Kama, Nazri & Taskin, Nazim & Pauleen, David & Abu Bakar, Nur Azaliah, 2019. "Determinants of master data management adoption by local government organizations: An empirical study," International Journal of Information Management, Elsevier, vol. 45(C), pages 25-43.
  18. Chen, Feiyu & Chen, Qirui & Hou, Jing & Li, Shanshan, 2023. "Effects of China's carbon generalized system of preferences on low-carbon action: A synthetic control analysis based on text mining," Energy Economics, Elsevier, vol. 124(C).
  19. Wang, Yonggui & Tian, Qinghong & Li, Xia & Xiao, Xiaohong, 2022. "Different roles, different strokes: How to leverage two types of digital platform capabilities to fuel service innovation," Journal of Business Research, Elsevier, vol. 144(C), pages 1121-1128.
  20. Tugba Karaboga & Cemal Zehir & Ekrem Tatoglu & H. Aykut Karaboga & Abderaouf Bouguerra, 2023. "Big data analytics management capability and firm performance: the mediating role of data-driven culture," Review of Managerial Science, Springer, vol. 17(8), pages 2655-2684, November.
  21. 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.
  22. Ebrahim A. A. Ghaleb & P. D. D. Dominic & Narinderjit Singh Sawaran Singh & Gehad Mohammed Ahmed Naji, 2023. "Assessing the Big Data Adoption Readiness Role in Healthcare between Technology Impact Factors and Intention to Adopt Big Data," Sustainability, MDPI, vol. 15(15), pages 1-25, July.
  23. 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).
  24. Ariyaluran Habeeb, Riyaz Ahamed & Nasaruddin, Fariza & Gani, Abdullah & Targio Hashem, Ibrahim Abaker & Ahmed, Ejaz & Imran, Muhammad, 2019. "Real-time big data processing for anomaly detection: A Survey," International Journal of Information Management, Elsevier, vol. 45(C), pages 289-307.
  25. Luther Yuong Qai Chong & Thien Sang Lim, 2022. "Pull and Push Factors of Data Analytics Adoption and Its Mediating Role on Operational Performance," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
  26. Ghobakhloo, Morteza & Asadi, Shahla & Iranmanesh, Mohammad & Foroughi, Behzad & Mubarak, Muhammad Faraz & Yadegaridehkordi, Elaheh, 2023. "Intelligent automation implementation and corporate sustainability performance: The enabling role of corporate social responsibility strategy," Technology in Society, Elsevier, vol. 74(C).
  27. Kanyarat (Lek) Sanoran & Jomsurang Ruangprapun, 2023. "Initial Implementation of Data Analytics and Audit Process Management," Sustainability, MDPI, vol. 15(3), pages 1-14, January.
  28. Jimenez-Marquez, Jose Luis & Gonzalez-Carrasco, Israel & Lopez-Cuadrado, Jose Luis & Ruiz-Mezcua, Belen, 2019. "Towards a big data framework for analyzing social media content," International Journal of Information Management, Elsevier, vol. 44(C), pages 1-12.
  29. Chae, Bongsug (Kevin), 2019. "A General framework for studying the evolution of the digital innovation ecosystem: The case of big data," International Journal of Information Management, Elsevier, vol. 45(C), pages 83-94.
  30. Fernandes, Marta & Canito, Alda & Bolón-Canedo, Verónica & Conceição, Luís & Praça, Isabel & Marreiros, Goreti, 2019. "Data analysis and feature selection for predictive maintenance: A case-study in the metallurgic industry," International Journal of Information Management, Elsevier, vol. 46(C), pages 252-262.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.