Search Results - subject:"operational data"

Why generative AI can make creative destruction more creative but less destructive

Norbäck, Pehr-Johan; Persson, Lars - In: Small business economics : an international journal 63 (2024) 1, pp. 349-377

Persistent link: https://www.econbiz.de/10014633076

Why big data can make creative destruction more creative - But less destructive

Norbäck, Pehr-Johan; Persson, Lars - 2023

The application of machine learning (ML) to big data has become increasingly important. We propose a model where firms have access to the same ML, but incumbents have access to historical data. We show that big data raises entrepreneurial barriers making the creative destruction process less...

Persistent link: https://www.econbiz.de/10014542206

The framework of parametric and nonparametric operational data analytics

Feng, Qi; Shanthikumar, J. George - In: Production and operations management : the flagship … 32 (2023) 9, pp. 2685-2703

Persistent link: https://www.econbiz.de/10014369442

Why big data can make creative destruction more creative - but less destructive

Norbäck, Pehr-Johan; Persson, Lars - 2023

Persistent link: https://www.econbiz.de/10014232974

A graph-based approach for integrating massive data in container terminals with application to scheduling problem

Liu, Suri; Wang, Wenyuan; Zhong, Shaopeng; Peng, Yun; … - In: International journal of production research 62 (2024) 16, pp. 5945-5965

Persistent link: https://www.econbiz.de/10015053740

Demographic and social issues of the pandemic

Kalabichina, Irina E. - In: Population and economics : PE 4 (2020) 2, pp. 103-122

Persistent link: https://www.econbiz.de/10012419172

Consumer choice models and estimation : a review and extension

Feng, Qi; Shanthikumar, J. George; Xue, Mengying - In: Production and operations management : the flagship … 31 (2022) 2, pp. 847-867

Persistent link: https://www.econbiz.de/10013164009

Optimization of Mean and Standard Deviation of Multiple Responses Using Patient Rule Induction Method

Yang, Jin-Kyung; Lee, Dong-Hee - In: International Journal of Data Warehousing and Mining (IJDWM) 14 (2018) 1, pp. 60-74

-based approach. However, this approach has limitations when dealing with a large volume of operational data. The authors propose a … of the input variables directly from the operational data where mean and standard deviation of multiple responses are … optimized. In this article, they propose a data mining approach to EMRO. In these days, analyzing a large volume of operational …

Persistent link: https://www.econbiz.de/10012044240