[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 …

Discovering topics and trends in the field of Artificial Intelligence: Using LDA topic modeling

D Yu, B **ang - Expert systems with applications, 2023 - Elsevier
Artificial Intelligence (AI) has affected all aspects of social life in recent years. This study
reviews 177,204 documents published in 25 journals and 16 conferences in the AI research …

Role of big data analytics capabilities to improve sustainable competitive advantage of MSME service firms during COVID-19–A multi-theoretical approach

A Behl, J Gaur, V Pereira, R Yadav, B Laker - Journal of Business Research, 2022 - Elsevier
The extant literature suggests that digital technologies (big data analytics, artificial
intelligence, blockchain) help firms gain a competitive advantage. However, the studies do …

The adoption of digital technologies in supply chains: Drivers, process and impact

M Yang, M Fu, Z Zhang - Technological Forecasting and Social Change, 2021 - Elsevier
Digital technologies have been extensively studied in academic research and industry.
However, little is known about the adoption of digital technologies in manufacturing firms at …

Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries

A Belhadi, S Kamble, CJC Jabbour… - … forecasting and social …, 2021 - Elsevier
There has been an increased interest among scholars to investigate supply chain resilience
(SCRes) in manufacturing and service operations during emerging situations. Grounded in …

Big data analytics and artificial intelligence technologies based collaborative platform empowering absorptive capacity in health care supply chain: An empirical study

S Bag, P Dhamija, RK Singh, MS Rahman… - Journal of Business …, 2023 - Elsevier
The healthcare supply chain involves the manufacturing and delivery of medicines at the
right time, at the right place, and in the correct quantity. In the world of uncertainties …

[HTML][HTML] Preparing, conducting, and analyzing Delphi surveys: Cross-disciplinary practices, new directions, and advancements

D Beiderbeck, N Frevel, HA von der Gracht, SL Schmidt… - MethodsX, 2021 - Elsevier
Delphi is a scientific method to organize and structure an expert discussion aiming to
generate insights on controversial topics with limited information. The technique has seen a …

To identify industry 4.0 and circular economy adoption barriers in the agriculture supply chain by using ISM-ANP

S Kumar, RD Raut, K Nayal, S Kraus, VS Yadav… - Journal of Cleaner …, 2021 - Elsevier
With increasing globalization and digitalization, agricultural organizations have started
changing their business processes. Agri-organization has begun to adopt technologies to …

Data-driven digital transformation for supply chain carbon neutrality: insights from cross-sector supply chain

A Belhadi, M Venkatesh, S Kamble… - International Journal of …, 2024 - Elsevier
Following the growing pressure on firms and supply chains regarding their environmental
impact, carbon neutrality of supply chains is gaining substantial attention among scholars …

Examining the role of virtue ethics and big data in enhancing viable, sustainable, and digital supply chain performance

S Bag, MS Rahman, G Srivastava, A Shore… - … Forecasting and Social …, 2023 - Elsevier
In the real world of practice, data-driven supply chains have gained huge popularity in
recent years. This has led operations and supply management researchers to the focus on …