[HTML][HTML] What influences algorithmic decision-making? A systematic literature review on algorithm aversion
With the continuing application of artificial intelligence (AI) technologies in decision-making,
algorithmic decision-making is becoming more efficient, often even outperforming humans …
algorithmic decision-making is becoming more efficient, often even outperforming humans …
[HTML][HTML] Digitalization driven retail business model innovation: Evaluation of past and avenues for future research trends
Increased digitalization enabled innovation and practical examples from the retail industry
have captured the attention of marketing scholars, with rapid development in the academic …
have captured the attention of marketing scholars, with rapid development in the academic …
Big data analytics capability and decision-making: The role of data-driven insight on circular economy performance
Big data analytics (BDA) is a revolutionary approach for sound decision-making in
organizations that can lead to remarkable changes in transforming and supporting the …
organizations that can lead to remarkable changes in transforming and supporting the …
Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management
Making appropriate decisions is indeed a key factor to help companies facing challenges
from supply chains nowadays. In this paper, we propose two data-driven approaches that …
from supply chains nowadays. In this paper, we propose two data-driven approaches that …
The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance
S Benzidia, N Makaoui, O Bentahar - Technological forecasting and social …, 2021 - Elsevier
Big data analytics and artificial intelligence (BDA-AI) technologies have attracted increasing
interest in recent years from academics and practitioners. However, few empirical studies …
interest in recent years from academics and practitioners. However, few empirical studies …
Role of big data analytics capabilities to improve sustainable competitive advantage of MSME service firms during COVID-19–A multi-theoretical approach
The extant literature suggests that digital technologies (big data analytics, artificial
intelligence, blockchain) help firms gain a competitive advantage. However, the studies do …
intelligence, blockchain) help firms gain a competitive advantage. However, the studies do …
Big data analytics adoption: Determinants and performances among small to medium-sized enterprises
Big data analytics (BDA) adoption is a game-changer in the current industrial environment
for precision decision-making and optimal performance. Nonetheless, the determinants or …
for precision decision-making and optimal performance. Nonetheless, the determinants or …
[HTML][HTML] Applications of big data in emerging management disciplines: A literature review using text mining
AK Kushwaha, AK Kar, YK Dwivedi - International Journal of Information …, 2021 - Elsevier
The importance of data-driven decisions and support is increasing day by day in every
management area. The constant access to volume, variety, and veracity of data has made …
management area. The constant access to volume, variety, and veracity of data has made …
Big data analytics in building the competitive intelligence of organizations
J Ranjan, C Foropon - International Journal of Information Management, 2021 - Elsevier
Over recent years, organizations have started to capitalize on the significant use of Big Data
and emerging technologies to analyze, and gain valuable insights linked to, decision …
and emerging technologies to analyze, and gain valuable insights linked to, decision …
Using big data for co-innovation processes: Mapping the field of data-driven innovation, proposing theoretical developments and providing a research agenda
This is the first systematic literature review concerning the interconnections between big
data (BD) and co-innovation. It uses BD as a common perspective of analysis as well as a …
data (BD) and co-innovation. It uses BD as a common perspective of analysis as well as a …