Search Results - subject:"Data analytics"

Effect of big data analytics in reverse supply chain : an Indian context

Behera, Ajay Kumar; Mohapatra, Sasmita; Mahapatra, … - In: International journal of information systems and supply … 15 (2022) 1, pp. 1-14

Persistent link: https://www.econbiz.de/10014296971

Is permissioned blockchain the key to support the external audit shift to entirely open innovation paradigm?

Faccia, Alessio; Pandey, Vishal; Banga, Charu - In: Journal of open innovation : technology, market, and … 8 (2022) 2, pp. 1-22

exploit the power of data analytics. Systematic analysis is performed based on a relevant literature review, along with …

Persistent link: https://www.econbiz.de/10013266335

Suptech in insurance supervision

Garcia Ocampo, Denise; Lehtmets, Andres; Pandey, Manoj; … - Institut für Finanzstabilität - 2022

Persistent link: https://www.econbiz.de/10013464805

Data, attitudinal and organizational determinants of big data analytics systems use

Chen, Charlie C.; Choi, Hoon Seok; Ractham, Peter - In: Cogent business & management 9 (2022) 1, pp. 1-18

This study investigates influential factors on the use of Big Data Analytics (BDA) systems in terms of data quality …

Persistent link: https://www.econbiz.de/10014420571

Big data analytics capability and supply chain performance : the mediating roles of supply chain resilience and innovation

Bahrami, Mohammad; Shokouhyar, Sajjad; Seifian, Atiyeh - In: Modern supply chain research and applications 4 (2022) 1, pp. 62-84

Purpose - Big data analytics (BDA) capabilities can affect supply chain performance in several ways. The main purpose …

Persistent link: https://www.econbiz.de/10013186807

Big data analytics capability and supply chain performance: The mediating roles of supply chain resilience and innovation

Bahrami, Mohammad; Shokouhyar, Sajjad; Seifian, Atiyeh - In: Modern Supply Chain Research and Applications 4 (2022) 1, pp. 62-84

Purpose - Big data analytics (BDA) capabilities can affect supply chain performance in several ways. The main purpose …

Persistent link: https://www.econbiz.de/10015340014

Characterization of Usage Data with the Help of Data Classifications

Panzner, Melina; von Enzberg, Sebastian; Meyer, Maurice; … - In: Journal of the Knowledge Economy 15 (2022) 1, pp. 88-109

Abstract Comprehensive data understanding is a key success driver for data analytics projects. Knowing the … it accessible to general data analytics workflows, following a design science research approach. We first present a … support classification of use phase data and allows to capture data characteristics from a data analytics view. Finally, we …

Persistent link: https://www.econbiz.de/10015409362

Dashboard for the management and acceptance of customer orders

Nascimento, Joana; Frazão, Nuno; Teixeira, Senhorinha; … - In: Business systems research : a system view accross … 13 (2022) 3, pp. 116-129

Background: This paper focuses on activities related to Customer Orders Management withing an auto components plant in the Automotive Industry. The main challenge was highlighted: customers don't always regard the flexibility rules agreed with the company. Hence, planners must decide if...

Persistent link: https://www.econbiz.de/10013542220

Dashboard for the management and acceptance of customer orders

Nascimento, Joana; Frazão, Nuno; Teixeira, Senhorinha; … - In: Business Systems Research (BSR) 13 (2022) 3, pp. 116-129

Persistent link: https://www.econbiz.de/10015408718

Adventures in financial data science : the empirical properties of financial and economic data

Giller, Graham L. - 2022 - Second edition

"This book provides insights into the true nature of financial and economic data, and is a practical guide on how to analyze a variety of data sources. The focus of the book is on finance and economics, but it also illustrates the use of quantitative analysis and data science in many different...

Persistent link: https://www.econbiz.de/10012880006