[HTML][HTML] Operational research from Taylorism to Terabytes: A research agenda for the analytics age

MJ Mortenson, NF Doherty, S Robinson - European Journal of Operational …, 2015 - Elsevier
The growing attention and prominence afforded to analytics presents a genuine challenge
for the operational research community. Many in the community have recognised this growth …

Big data and social media: A scientometrics analysis

H Esfahani, K Tavasoli… - International Journal of …, 2019 - m.growingscience.com
The purpose of this research is to investigate the status and the evolution of the scientific
studies for the effect of social networks on big data and usage of big data for modeling the …

Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness

A Di Vaio, R Hassan, C Alavoine - Technological Forecasting and Social …, 2022 - Elsevier
This study investigates the literary corpus of the role and potential of data intelligence and
analytics through the lenses of artificial intelligence (AI), big data, and the human–AI …

Big data and firm marketing performance: Findings from knowledge-based view

S Gupta, T Justy, S Kamboj, A Kumar… - … Forecasting and Social …, 2021 - Elsevier
A universal trend in advanced manufacturing countries is defining Industry 4.0, industrialized
internet and future factories as a recent wave, which may transform the production and its …

Business intelligence and analytics: From big data to big impact

H Chen, RHL Chiang, VC Storey - MIS quarterly, 2012 - JSTOR
Business intelligence and analytics (BI&A) has emerged as an important area of study for
both practitioners and researchers, reflecting the magnitude and impact of data-related …

A critical analysis of decision support systems research revisited: the rise of design science

D Arnott, G Pervan - Journal of Information Technology, 2014 - journals.sagepub.com
In 2005 the Journal of Information Technology article 'A critical analysis of decision support
systems research'analyzed 1020 decision support systems (DSS) articles from 1990 to …

Artificial intelligence and business education: What should be taught

M Sollosy, M McInerney - The International Journal of Management …, 2022 - Elsevier
A provocative question regarding a modern business education is… are business schools
still relevant? More specifically, is the curriculum preparing graduates with the skills needed …

Leveraging big data analytics to improve quality of care in healthcare organizations: A configurational perspective

Y Wang, LA Kung, S Gupta… - British Journal of …, 2019 - Wiley Online Library
Big data analytics (BDA) is beneficial for organizations, yet implementing BDA to leverage
profitability is fundamental challenge confronting practitioners. Although prior research has …

Prioritising data items for business analytics: Framework and application to human resources

T Pape - European Journal of Operational Research, 2016 - Elsevier
The popularity of business intelligence (BI) systems to support business analytics has
tremendously increased in the last decade. The determination of data items that should be …

Toward a better measure of business proximity

Z Shi, GM Lee, AB Whinston - MIS quarterly, 2016 - JSTOR
In this article, we propose a new data-analytic approach to measure firms' dyadic business
proximity. Specifically, our method analyzes the unstructured texts that describe firms' …