Search Results - subject:"Data Driven Decision Making"

Multiple kernel learning-aided robust optimization : learning algorithm, computational tractability, and usage in multi-stage decision-making

Han, Biao; Shang, Chao; Huang, Dexian - In: European journal of operational research : EJOR 292 (2021) 3, pp. 1004-1018

Persistent link: https://www.econbiz.de/10012502419

A Bayesian belief network-based probabilistic mechanism to determine patient no-show risk categories

Simsek, Serhat; Dag, Ali; Tiahrt, Thomas; Oztekin, Asil - In: Omega : the international journal of management science 100 (2021), pp. 1-16

Persistent link: https://www.econbiz.de/10012494634

Data-driven decision and analytics of collection and delivery point location problems for online retailers

Xu, Xianhao; Shen, Yaohan; Chen, Wanying; Gong, Yeming; … - In: Omega : the international journal of management science 100 (2021), pp. 1-12

Persistent link: https://www.econbiz.de/10012494636

Retail analytics : store segmentation using rule-based purchasing behavior analysis

Bilgic, Emrah; Cakir, Ozgur; Kantardzic, Mehmed; Duan, … - In: The international review of retail, distribution and … 31 (2021) 4, pp. 457-480

Persistent link: https://www.econbiz.de/10012609706

Algorithms for operational decision-making : an absorptive capacity perspective on the process of converting data into relevant knowledge

Neirotti, Paolo; Pesce, Danilo; Battaglia, Daniele - In: Technological forecasting & social change : an … 173 (2021), pp. 1-17

Persistent link: https://www.econbiz.de/10013202586

Nonparametric identification and estimation of score auctions in multi-attribute procurement

Quiroga, Bernardo F.; Aldunate, Felipe - In: Operations research letters 49 (2021) 5, pp. 748-751

Persistent link: https://www.econbiz.de/10013207436

BIG Data - BIG Gains? Understanding the Link Between Big Data Analytics and Innovation

Niebel, Thomas; Rasel, Fabienne; Viete, Steffen - 2017

This paper analyzes the relationship between firms’ use of big data analytics and their innovative performance for product innovations. Since big data technologies provide new data information practices, they create new decision-making possibilities, which firms can use to realize innovations....

Persistent link: https://www.econbiz.de/10011732805

BIG data - BIG gains? Empirical evidence on the link between big data analytics and innovation

Niebel, Thomas; Rasel, Fabienne; Viete, Steffen - 2017

This paper analyzes the relationship between firms' use of big data analytics and their innovative performance in terms of product innovations. Since big data technologies provide new data information practices, they create novel decision-making possibilities, which are widely believed to...

Persistent link: https://www.econbiz.de/10011752925

BIG data - BIG gains? : empirical evidence on the link between big data analytics and innovation

Niebel, Thomas; Rasel, Fabienne; Viete, Steffen - 2017

Persistent link: https://www.econbiz.de/10011752559

Big data - big gains? : understanding the link between big data analytics and innovation

Niebel, Thomas; Rasel, Fabienne; Viete, Steffen - 2017

This paper analyzes the relationship between firms' use of big data analytics and their innovative performance for product innovations. Since big data technologies provide new data information practices, they create new decision-making possibilities, which firms can use to realize innovations....

Persistent link: https://www.econbiz.de/10011778363