Big Data and Business Intelligence

TopicLeading institutions, researchers & key papers

This cluster of papers explores the impact of big data analytics on business performance, with a focus on supply chain management, predictive analytics, data science, and decision support systems. It delves into the challenges and opportunities of leveraging big data for firm performance and sustainability, as well as the integration of business intelligence and knowledge management. The research also examines the role of big data in innovation, risk mitigation, and operational transparency within organizations.

110

Works

IDs:OpenAlex

How has Big Data and Business Intelligence's publication output changed over time?

ScholarIQpublication output · 2004–2020

Output grew100% over the shown period — from 1 works in 2004 to 2 in 2020.

200420152016201720192020

What are the most-cited papers on Big Data and Business Intelligence?

ScholarIQmost cited works

Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

Yogesh K. Dwivedi, Laurie Hughes, Elvira Ismagilova, Gert Aarts, Crispin Coombs, Tom Crick, Yanqing Duan, Rohita Dwivedi, John S. Edwards, Aled Eirug, Vassilis Galanos, P. Vigneswara Ilavarasan, Marijn Janssen, Paul Jones, Arpan Kumar Kar, Hatice Kizgin, Bianca Kronemann, Banita Lal, Biagio Lucini, Rony Medaglia, Kenneth Le Meunier‐FitzHugh, Leslie Caroline Le Meunier-FitzHugh, Santosh K. Misra, Emmanuel Mogaji, Sujeet Kumar Sharma, Jang Bahadur Singh, Vishnupriya Raghavan, Ramakrishnan Raman, Nripendra P. Rana, Spyridon Samothrakis, Jak Spencer, Kuttimani Tamilmani, Annie Tubadji, Paul Walton, Michael D. Williams

International Journal of Information Management. 20194,178 CitationsOPEN ACCESS

Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda

Yanqing Duan, John S. Edwards, Yogesh K. Dwivedi

International Journal of Information Management. 20192,499 CitationsOPEN ACCESS

Artificial intelligence and innovation management: A review, framework, and research agenda✰

Naomi Haefner, Joakim Wincent, Vinit Parida, Oliver Gassmann

Technological Forecasting and Social Change. 2020990 CitationsOPEN ACCESS

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

Rameshwar Dubey, Angappa Gunasekaran, Stephen J. Childe, David Bryde, Mihalis Giannakis, Cyril Foropon, David Roubaud, Benjamin T. Hazen

S184816971. 2019826 CitationsOPEN ACCESS

Linear Models with R

Julian J. Faraway