IDEAS home Printed from https://ideas.repec.org/r/eee/ininma/v36y2016i5p700-710.html

A review and future direction of agile, business intelligence, analytics and data science

Citations

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


Cited by:

  1. Ashrafi, Amir & Zareravasan, Ahad, 2022. "An ambidextrous approach on the business analytics-competitive advantage relationship: Exploring the moderating role of business analytics strategy," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
  2. Ashrafi, Amir & Zare Ravasan, Ahad & Trkman, Peter & Afshari, Samira, 2019. "The role of business analytics capabilities in bolstering firms’ agility and performance," International Journal of Information Management, Elsevier, vol. 47(C), pages 1-15.
  3. Basile, Luigi Jesus & Carbonara, Nunzia & Pellegrino, Roberta & Panniello, Umberto, 2023. "Business intelligence in the healthcare industry: The utilization of a data-driven approach to support clinical decision making," Technovation, Elsevier, vol. 120(C).
  4. Maël Schnegg & Klaus Möller, 2022. "Strategies for data analytics projects in business performance forecasting: a field study," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 33(2), pages 241-271, June.
  5. 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.
  6. 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.
  7. Muhammad Ovais Ahmad & Iftikhar Ahmad & Nripendra P. Rana & Iqra Sadaf Khan, 2023. "An Empirical Investigation on Business Analytics in Software and Systems Development Projects," Information Systems Frontiers, Springer, vol. 25(2), pages 917-927, April.
  8. Gupta, Manjul & George, Joey F. & Xia, Weidong, 2019. "Relationships between IT department culture and agile software development practices: An empirical investigation," International Journal of Information Management, Elsevier, vol. 44(C), pages 13-24.
  9. Zhong, Kai & Song, Liangrong, 2025. "Artificial intelligence adoption and corporate green innovation capability," Finance Research Letters, Elsevier, vol. 72(C).
  10. Božič, Katerina & Dimovski, Vlado, 2019. "Business intelligence and analytics for value creation: The role of absorptive capacity," International Journal of Information Management, Elsevier, vol. 46(C), pages 93-103.
  11. Bashir, Raja Sehrab & Lee, Sai Peck & Khan, Saif Ur Rehman & Chang, Victor & Farid, Shahid, 2016. "UML models consistency management: Guidelines for software quality manager," International Journal of Information Management, Elsevier, vol. 36(6), pages 883-899.
  12. Sariyer, Gorkem & Kumar Mangla, Sachin & Chowdhury, Soumyadeb & Erkan Sozen, Mert & Kazancoglu, Yigit, 2024. "Predictive and prescriptive analytics for ESG performance evaluation: A case of Fortune 500 companies," Journal of Business Research, Elsevier, vol. 181(C).
  13. Iqbal, Kiram, 2023. "Acceptance conditions of algorithmic decision support in management," Junior Management Science (JUMS), Junior Management Science e. V., vol. 8(4), pages 887-925.
  14. Erkan Bayraktar & Ekrem Tatoglu & Arafat Salih Aydiner & Dursun Delen, 2024. "Business Analytics Adoption and Technological Intensity: An Efficiency Analysis," Information Systems Frontiers, Springer, vol. 26(4), pages 1509-1526, August.
  15. Ranjan Chaudhuri & Sheshadri Chatterjee & Demetris Vrontis & Alkis Thrassou, 2024. "Adoption of robust business analytics for product innovation and organizational performance: the mediating role of organizational data-driven culture," Annals of Operations Research, Springer, vol. 339(3), pages 1757-1791, August.
  16. Yousafzai, Abdullah & Chang, Victor & Gani, Abdullah & Noor, Rafidah Md., 2016. "Directory-based incentive management services for ad-hoc mobile clouds," International Journal of Information Management, Elsevier, vol. 36(6), pages 900-906.
  17. Madalina Cuc & Anca Gabriela Petrescu, 2024. "IoT Modeling for Digital Enterprises and Decision Analysis: A Descriptive Presentation," International Journal of Innovation in the Digital Economy (IJIDE), IGI Global Scientific Publishing, vol. 15(1), pages 1-8, January.
  18. Darehshiri, Mahsa & Ghaemi Asl, Mahdi & Babatunde Adekoya, Oluwasegun & Shahzad, Umer, 2022. "Cross-spectral coherence and dynamic connectedness among contactless digital payments and digital communities, enterprise collaboration, and virtual reality firms," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
  19. Maryia Zaitsava & Elona Marku & Maria Chiara Guardo & Azar Shahgholian, 2023. "A fine-grained perspective on big data knowledge creation: dimensions, insights, and mechanism from a pilot study," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(2), pages 547-573, June.
  20. Hassani, Abdeslam & Mosconi, Elaine, 2022. "Social media analytics, competitive intelligence, and dynamic capabilities in manufacturing SMEs," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  21. Sheshadri Chatterjee & Ranjan Chaudhuri & Demetris Vrontis, 2024. "Does data-driven culture impact innovation and performance of a firm? An empirical examination," Annals of Operations Research, Springer, vol. 333(2), pages 601-626, February.
  22. Rehman, Muhammad Habib ur & Chang, Victor & Batool, Aisha & Wah, Teh Ying, 2016. "Big data reduction framework for value creation in sustainable enterprises," International Journal of Information Management, Elsevier, vol. 36(6), pages 917-928.
  23. Olga Menukhin & Catherine Mandungu & Azar Shahgholian & Nikolay Mehandjiev, 2025. "Guiding the integration of analytics in business operations through a maturity framework," Annals of Operations Research, Springer, vol. 348(3), pages 2017-2047, May.
  24. repec:bcp:journl:v:7:y:2023:i:3:p:789-806 is not listed on IDEAS
  25. Jan A. Kempkes & Francesco Suprano & Andreas Wömpener, 2024. "How management support systems affect job performance: a systematic literature review and research agenda," Management Review Quarterly, Springer, vol. 74(4), pages 2013-2086, December.
  26. Maria Hoffmann Jensen & John Stouby Persson & Peter Axel Nielsen, 2023. "Measuring benefits from big data analytics projects: an action research study," Information Systems and e-Business Management, Springer, vol. 21(2), pages 323-352, June.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.