Search Results - subject:"Data Science"

The impact challenge : reframing sustainability for businesses

Falsarone, Alessia - 2022

This book explores the role of businesses in delivering positive societal and financial outcomes as they seek to bridge the gap between short-term organizational behaviors and long-range sustainability commitments. By addressing the inevitable data challenges associated with the strategic...

Persistent link: https://www.econbiz.de/10013482416

Sustainable manufacturing in the fourth industrial revolution : a big data application proposal in the textile industry

Araque González, Gustavo; Suárez-Hernández, Albeiro; … - In: Journal of industrial engineering and management : JIEM 15 (2022) 4, pp. 614-636

production model and configuration of the operational system; 3) Data science and industrial analysis, 4) Production model …

Persistent link: https://www.econbiz.de/10014512880

Mapping the demand side of computational social science for policy : harnessing digital trace data and computational methods to address societal challenges

Europäische Kommission / Gemeinsame Forschungsstelle - 2022

Persistent link: https://www.econbiz.de/10013201939

Umweltzonen verbessern Luftqualität und Gesundheit, verringern aber temporär Lebenszufriedenheit

Sarmiento, Luis; Wägner, Nicole; Zaklan, Aleksandar - In: DIW-Wochenbericht : Wirtschaft, Politik, Wissenschaft 89 (2022) 13, pp. 203-211

Luftverschmutzung verursacht hohe ökonomische Kosten durch gesundheitliche Belastungen der AnwohnerInnen, vor allem in städtischen Gebieten. Fahrbeschränkungen in Umweltzonen sollen zur Verbesserung der Luftqualität beitragen. Empirische Analysen in diesem Wochenbericht bestätigen, dass...

Persistent link: https://www.econbiz.de/10013174181

Do post-Corona European economic policies lift growth prospects? : exploring an ML-methodology

Herzog, Bodo - In: Journal of risk and financial management : JRFM 15 (2022) 3, pp. 1-13

This article explores the determinants of people’s growth prospects in survey data as well as the impact of the European recovery fund to future growth. The focus is on the aftermath of the Corona pandemic, which is a natural limit to the sample size. We use Eurobarometer survey data and...

Persistent link: https://www.econbiz.de/10013163694

A combined neural network approach for the prediction of admission rates related to respiratory diseases

Jose, Alex; Macdonald, Angus; Tzougas, George; … - In: Risks : open access journal 10 (2022) 11, pp. 1-35

In this paper, we investigated rates of admission to hospitals (or other health facilities) due to respiratory diseases in a United States working population and their dependence on a number of demographic and health insurance-related factors. We employed neural network (NN) modelling...

Persistent link: https://www.econbiz.de/10014228893

Smart tourism destinations really make sustainable cities: Benidorm as a case study

Aguirre, Alexander; Zayas, Antonio; Gómez-Carmona, Diego; … - In: International Tourism Studies Association 9 (2022) 1, pp. 51-69

Purpose Tourism sustainability is a challenge for 21st-century destinations – this paper aims to analyse smart destinations' sustainability through a case study of Benidorm, the first world destination to be certified under the UNE 178501 standard as smart tourism destination (STD)....

Persistent link: https://www.econbiz.de/10014813677

Role-specific self-service business intelligence & analytics systems in the data science lifecycle

Michalczyk, Sven - 2022

Persistent link: https://www.econbiz.de/10013410950

Data science for business with R

Saltz, Jeffrey S.; Stanton, Jeffrey M. - 2022

Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts … foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the … full integration of freely-available R and RStudio software, one of the most popular data science tools available. …

Persistent link: https://www.econbiz.de/10012583688

Applied Data Science in Tourism : Interdisciplinary Approaches, Methodologies, and Applications

Egger, Roman (ed.) - 2022

Part I: Theoretical Fundaments -- AI and Big Data in Tourism -- Epistemological Challenges -- Data Science and … Interdisciplinarity -- Data Science and Ethical Issues -- Web Scraping -- Part II: Machine Learning -- Machine Learning in Tourism: A … data science approaches such as machine learning, text mining, social network analysis, and many more, which are essential …

Persistent link: https://www.econbiz.de/10012814832