The influence of the practices of big data analytics applications on bank performance: filed study

H Al-Dmour, N Saad, E Basheer Amin… - VINE Journal of …, 2023 - emerald.com
Purpose This paper aims to examine factors influencing the practices of big data analytics
applications by commercial banks operating in Jordan and their bank performance …

Big data in education. A bibliometric review

JA Marín-Marín, J López-Belmonte… - Social Sciences, 2019 - mdpi.com
The handling of a large amount of data to analyze certain behaviors is reaching a great
popularity in the decade 2010–2020. This phenomenon has been called Big Data. In the …

Application of a smart city model to a traditional university campus with a big data architecture: A sustainable smart campus

W Villegas-Ch, X Palacios-Pacheco, S Luján-Mora - Sustainability, 2019 - mdpi.com
Currently, the integration of technologies such as the Internet of Things and big data seeks
to cover the needs of an increasingly demanding society that consumes more resources …

Analytical competences of teachers in big data in the era of digitalized learning

J López-Belmonte, S Pozo-Sánchez… - Education …, 2019 - mdpi.com
The progress of technology in the field of education has led to the development of new
professional skills in the teaching community, such as digital competence. Likewise, it has …

Teachers' digital competence in using and analytically managing information in flipped learning (Competencia digital docente para el uso y gestión analítica …

S Pozo-Sánchez, J López-Belmonte… - Culture and …, 2020 - journals.sagepub.com
El empleo de flipped learning como enfoque metodológico implica la utilización continua de
plataformas de gestión de contenidos. Las interacciones generadas en dichas plataformas …

Real-time high-load infrastructure transaction status output prediction using operational intelligence and big data technologies

S Fedushko, T Ustyianovych, M Gregus - Electronics, 2020 - mdpi.com
An approach to use Operational Intelligence with mathematical modeling and Machine
Learning to solve industrial technology projects problems are very crucial for today's IT …

Data-driven begins with DATA; potential of data assets

H Hannila, R Silvola, J Harkonen… - Journal of Computer …, 2022 - Taylor & Francis
The objective of this study is to analyze the potential of company data assets for data-driven,
fact-based decision-making in product portfolio management (PPM). Data assets are …

Digitalisation of a company decision-making system: a concept for data-driven and fact-based product portfolio management

H Hannila, S Kuula, J Harkonen… - Journal of Decision …, 2022 - Taylor & Francis
The objective is to conceptualise data-driven and fact-based product portfolio management
(PPM). The study examines how PPM process is internalised in companies and proposes a …

Intelligent ERP for SCM agility and graph theory technique for adaptation in automotive industry in India

P Jayender, GK Kundu - … Journal of System Assurance Engineering and …, 2021 - Springer
A supply chain's performance is determined by its capacity to stay market-sensitive while
maintaining network integration. The challenges in remaining market sensitive are in …

Big data analytics capabilities and eco-innovation: a study of energy companies

RT Munodawafa, SK Johl - Sustainability, 2019 - mdpi.com
Increased greenhouse gas (GHG) emissions in the past decades have created concerns
about the environment. To stymie global warming and the deterioration of the natural …