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Predicting an ICT business process innovation as a digital transformation with machine learning techniques

Eom, Taeung; Woo, Chungwon; Chun, Dongphil - In: Technology analysis & strategic management 36 (2024) 9, pp. 2271-2283

Persistent link: https://www.econbiz.de/10015108176

The impact of robotification on the financial situation of microenterprises : evidence from the financial services sector in Poland

Cieślukowski, Maciej; Garsztka, Przemysław; … - In: Risks : open access journal 10 (2022) 2, pp. 1-20

The automation of manufacturing processes as a result of the Fourth Industrial Revolution, rendered faster under the … improvement of financial results following the automation of financial services requires taking into account the replaceability of … employees in a particular unit, the form of acquiring a robot and a potential increase in the tax burden (with a tax …

Persistent link: https://www.econbiz.de/10013093031

Predictive models in digital manufacturing : research, applications, and future outlook

Kusiak, Andrew - In: International journal of production research 61 (2023) 17, pp. 6052-6062

Persistent link: https://www.econbiz.de/10014382694

How machine learning can improve decisions and automate manual processes in freight forwarding

Palke, Ksenia; Lunderman, Spence - In: Journal of supply chain management, logistics and … 5 (2022/2023) 3, pp. 202-211

Persistent link: https://www.econbiz.de/10014313021

A new hybrid method with data-characteristic-driven analysis for artificial intelligence and robotics index return forecasting

Zhang, Yue-Jun; Zhang, Han; Gupta, Rangan - In: Financial innovation : FIN 9 (2023) 1, pp. 1-23

Forecasting returns for the Artificial Intelligence and Robotics Index is of great significance for financial market stability, and the development of the artificial intelligence industry. To provide investors with a more reliable reference in terms of artificial intelligence index investment,...

Persistent link: https://www.econbiz.de/10014289091

The demand planning renaissance : a data-driven approach

Jasiński, Piotr - In: Journal of supply chain management, logistics and … 7 (2024) 1, pp. 6-24

Persistent link: https://www.econbiz.de/10015083644

Quantum computing and risk prediction accuracy : an analysis of IT companies' risk appetite

Sivan, A.; Priya K - In: International journal of business and systems research … 19 (2025) 2, pp. 111-139

Persistent link: https://www.econbiz.de/10015407923

Computing the steady-state probabilities of the number of customers in the system of a tandem queueing system, a Machine Learning approach

Sherzer, Eliran - In: European journal of operational research : EJOR 326 (2025) 1, pp. 141-156

Persistent link: https://www.econbiz.de/10015433369

Advanced computational methods for news classification : a study in neural networks and CNN integrated with GPT

Sufi, Fahim - In: Journal of economy and technology 3 (2025), pp. 264-281

In an era inundated with vast amounts of information, the imperative for efficient news classification is paramount. This research explores the sophisticated integration of neural networks and convolutional neural networks (CNN) with Generative Pre-trained Transformers (GPT) to enhance the...

Persistent link: https://www.econbiz.de/10015433611

An expert system for predicting erp post-implementation benefits using artificial neural network

Ravasan, Ahad Zare; Rouhani, Saeed - In: International journal of enterprise information systems … 10 (2014) 3, pp. 24-45

Persistent link: https://www.econbiz.de/10010433348