[PDF][PDF] Agile software development: Methodologies and trends.

S Al-Saqqa, S Sawalha… - International Journal of …, 2020 - pdfs.semanticscholar.org
Software engineering is a discipline that undergone many improvements that aims to keep
up with the new advancements in technologies and the modern business requirements …

Data science and analytics: an overview from data-driven smart computing, decision-making and applications perspective

IH Sarker - SN Computer Science, 2021 - Springer
The digital world has a wealth of data, such as internet of things (IoT) data, business data,
health data, mobile data, urban data, security data, and many more, in the current age of the …

Evaluation of data analytics-oriented business intelligence technology effectiveness: an enterprise-level analysis

A Al-Okaily, AP Teoh, M Al-Okaily - Business Process Management …, 2023 - emerald.com
Purpose A crucial question still remains unanswered as to whether data analytics-oriented
business intelligence (hereafter, BI) technologies can bring organizational value and …

Measuring the perceived benefits of implementing blockchain technology in the banking sector

P Garg, B Gupta, AK Chauhan, U Sivarajah… - … forecasting and social …, 2021 - Elsevier
This study aims to measure the perceived business benefits of blockchain technology
implementation in the banking sector and establish factors to measure these benefits …

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 …

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 …

[HTML][HTML] Prescriptive analytics: Literature review and research challenges

K Lepenioti, A Bousdekis, D Apostolou… - International Journal of …, 2020 - Elsevier
Business analytics aims to enable organizations to make quicker, better, and more
intelligent decisions with the aim to create business value. To date, the major focus in the …

A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing

IM Cavalcante, EM Frazzon, FA Forcellini… - International Journal of …, 2019 - Elsevier
There has been an increased interest in resilient supplier selection in recent years, much of
it focusing on forecasting the disruption probabilities. We conceptualize an entirely different …

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 …

Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains

RD Raut, SK Mangla, VS Narwane, M Dora… - … Research Part E …, 2021 - Elsevier
The effect of big data on the lean, agile, resilient, and green (LARG) supply chain has not
been explored much in the literature. This study investigates the role of 'Big Data …