[HTML][HTML] Explainable AI for operational research: A defining framework, methods, applications, and a research agenda
The ability to understand and explain the outcomes of data analysis methods, with regard to
aiding decision-making, has become a critical requirement for many applications. For …
aiding decision-making, has become a critical requirement for many applications. For …
Research challenges and opportunities in business analytics
There are plenty of definitions proposed for business analytics–some of them focus on the
scope/coverage/problem, some on the nature of the data, and some concentrate on the …
scope/coverage/problem, some on the nature of the data, and some concentrate on the …
Understanding dark side of artificial intelligence (AI) integrated business analytics: assessing firm's operational inefficiency and competitiveness
NP Rana, S Chatterjee, YK Dwivedi… - European Journal of …, 2022 - Taylor & Francis
The data-centric revolution generally celebrates the proliferation of business analytics and
AI in exploiting firm's potential and success. However, there is a lack of research on how the …
AI in exploiting firm's potential and success. However, there is a lack of research on how the …
[HTML][HTML] Understanding the relationship between marketing analytics, customer agility, and customer satisfaction: A longitudinal perspective.
Shifting towards a more data-driven culture is a key antecedent of business success in
today's digital era. Previous research has paid attention to exploring the influence of …
today's digital era. Previous research has paid attention to exploring the influence of …
The role of business capabilities in supporting organization agility and performance during the COVID-19 pandemic: An empirical study in Indonesia
This study aims to analyze the important role of business analytics capability, information
quality, and innovation capability in influencing organization agility and organization …
quality, and innovation capability in influencing organization agility and organization …
Does data-driven culture impact innovation and performance of a firm? An empirical examination
S Chatterjee, R Chaudhuri, D Vrontis - Annals of Operations Research, 2024 - Springer
Data-driven culture is considered to bring business-oriented cultural transformation to a firm.
It is considered to provide substantial dividends to the firms' product and process …
It is considered to provide substantial dividends to the firms' product and process …
Adoption of robust business analytics for product innovation and organizational performance: the mediating role of organizational data-driven culture
R Chaudhuri, S Chatterjee, D Vrontis… - Annals of Operations …, 2024 - Springer
In the present digital environment, a data-driven organizational culture has become a vital
emerging driver of organizational growth. This data-driven culture has assumed an …
emerging driver of organizational growth. This data-driven culture has assumed an …
Business analytics and firm performance: The mediating role of business process performance
Due to the rapidly increasing popularity of business analytics (BA), investigation of the
antecedents/determinants of the adoption of BA and the subsequent impact of the same to …
antecedents/determinants of the adoption of BA and the subsequent impact of the same to …
Role of big data and social media analytics for business to business sustainability: A participatory web context
The digital transformation is an accumulation of various digital advancements, such as the
transformation of the web phenomenon. The participatory web that allows for active user …
transformation of the web phenomenon. The participatory web that allows for active user …
[HTML][HTML] Deep learning in business analytics: A clash of expectations and reality
M Schmitt - International Journal of Information Management Data …, 2023 - Elsevier
Our fast-paced digital economy shaped by global competition requires increased data-
driven decision-making based on artificial intelligence (AI) and machine learning (ML). The …
driven decision-making based on artificial intelligence (AI) and machine learning (ML). The …