Artificial intelligence in customer relationship management: literature review and future research directions

C Ledro, A Nosella, A Vinelli - Journal of Business & Industrial …, 2022 - emerald.com
Artificial intelligence in customer relationship management: literature review and future
research directions | Emerald Insight Books and journals Case studies Expert Briefings Open …

The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management

V Kumar, HM Azamathulla, KV Sharma, DJ Mehta… - Sustainability, 2023 - mdpi.com
Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects and …

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 …

Organizational business intelligence and decision making using big data analytics

Y Niu, L Ying, J Yang, M Bao… - Information Processing & …, 2021 - Elsevier
Business intelligence helps gather essential information from a wide variety of unstructured
data and convert them into actionable information that allows firms to make informed policy …

[HTML][HTML] Smart factory performance and Industry 4.0

G Büchi, M Cugno, R Castagnoli - Technological forecasting and social …, 2020 - Elsevier
Existing literature on the Industry 4.0 concept does not empirically verify if, how, and for
which types of firms, a greater openness to enabling technologies of Industry 4.0 provides …

COVID‐19 pandemic in the new era of big data analytics: Methodological innovations and future research directions

J Sheng, J Amankwah‐Amoah… - British Journal of …, 2021 - Wiley Online Library
Although scholars in management recognize the value of harnessing big data to
understand, predict and respond to future events, there remains little or very limited overview …

[HTML][HTML] How can organizations leverage big data to innovate their business models? A systematic literature review

C Acciarini, F Cappa, P Boccardelli, R Oriani - Technovation, 2023 - Elsevier
The use of big data has garnered increasing importance in academic research and
managerial practice thanks to the benefits it can produce in terms of innovation. However …

Big data analytics capabilities and innovation: the mediating role of dynamic capabilities and moderating effect of the environment

P Mikalef, M Boura, G Lekakos… - British journal of …, 2019 - Wiley Online Library
With big data analytics growing rapidly in popularity, academics and practitioners have been
considering the means through which they can incorporate the shifts these technologies …

Big data analytics in supply chain management: A systematic literature review and research directions

I Lee, G Mangalaraj - Big data and cognitive computing, 2022 - mdpi.com
Big data analytics has been successfully used for various business functions, such as
accounting, marketing, supply chain, and operations. Currently, along with the recent …

[HTML][HTML] Building dynamic capabilities by leveraging big data analytics: The role of organizational inertia

P Mikalef, R van de Wetering, J Krogstie - Information & Management, 2021 - Elsevier
Although big data analytics have been claimed to revolutionize the way firms operate and do
business, there is a striking lack of knowledge about how organizations should adopt and …