Search Results - subject:"Decision support system."

A regeneration process chain with an integrated decision support system for individual regeneration processes based on a virtual twin

Kellenbrink, Carolin; Nübel, Nicolas; Schnabel, André; … - In: International journal of production research 60 (2022) 13, pp. 4137-4158

Persistent link: https://www.econbiz.de/10013499718

AI based decision making : combining strategies to improve operational performance

Al-Surmi, Abdulrahman; Bashiri, Mahdi; Koliousis, Ioannis - In: International journal of production research 60 (2022) 14, pp. 4464-4486

Persistent link: https://www.econbiz.de/10013499858

Examining the factors influencing Indonesia's local government’ intentions to use financial management information systems : the case for an extended TAM

Putra, Baskoro Perdana; Subekti, Imam; Atmini, Sari - 2022

Persistent link: https://www.econbiz.de/10013503668

A decision framework for software startups to succeed in COVID-19 environment

Parthasarathy, Sudhaman - In: Decision analytics journal 3 (2022), pp. 1-6

The world is witnessing a pandemic of a severe infectious nature known as COVID-19. Many countries have used partial or complete lockdown to slow the spread of the virus, which has devastated the economies all over the world, and made hundreds of millions of people unemployed overnight. The...

Persistent link: https://www.econbiz.de/10013339193

Digital-twin-based decision support of dynamic maintenance task prioritization using simulation-based optimization and genetic programming

Frantzén, Marcus; Bandaru, Sunith; Ng, Amos H. C. - In: Decision analytics journal 3 (2022), pp. 1-12

systems. This paper investigates a novel optimization and data analytic method to implement such a decision support system … digital-twin-based decision support system allows the proactively searching of the best attribute combinations to be used in a … shop floor data can be transformed into useful knowledge with a digital-twin-based decision support system to enhance …

Persistent link: https://www.econbiz.de/10013339265

Cognitive biases in implementing a performance management system : behavioral strategy for supporting managers' decision-making processes

Hristov, Ivo; Camilli, Riccardo; Mechelli, Alessandro - In: Management research review 45 (2022) 9, pp. 1110-1136

Persistent link: https://www.econbiz.de/10013361433

The autonomy-validity dilemma in mechanical prediction procedures : the quest for a compromise

Neumann, Marvin; Niessen, A. Susan M.; Tendeiro, Jorge N.; … - In: Journal of behavioral decision making 35 (2022) 4, pp. 1-20

A robust finding in psychological research is that combining information with a mechanical rule results in more valid predictions than combining information holistically in the mind. Nevertheless, information is typically combined holistically in practice, resulting in suboptimal predictions and...

Persistent link: https://www.econbiz.de/10013464427

The effects of discontinuing machine learning decision support

Bauer, Kevin; Nofer, Michael; Abdel-Karim, Benjamin M.; … - 2022

Advances in Machine Learning (ML) led organizations to increasingly implement predictive decision aids intended to improve employees' decision-making performance. While such systems improve organizational efficiency in many contexts, they might be a double-edged sword when there is the danger of...

Persistent link: https://www.econbiz.de/10013464506

Using quantum spherical fuzzy decision support system as a novel sustainability index approach for analyzing industries listed in the stock exchange

Kayacık, Mahmut; Dinçer, Hasan; Yüksel, Serhat - In: Borsa Istanbul Review 22 (2022) 6, pp. 1145-1157

This study aims to identify critical factors of the sustainability index (SI) and evaluate the industries listed in the stock exchange based on the performance of this index. For this purpose, a new fuzzy decision-making model has been created. Firstly, 12 different criteria for the SI are...

Persistent link: https://www.econbiz.de/10014305881

Decision Sciences for COVID-19 : Learning Through Case Studies

Hassan, Said Ali (ed.); Mohamed, Ali Wagdy (ed.); … - 2022

Part 1: Artificial Intelligence -- 1. Application of Artificial Intelligence and Big Data for Fighting COVID-19 Pandemic -- 2. An IOT-Based COVID-19 Detector Using K-Nearest Neighbour -- 3. Predictive Analytics for Early Detection of COVID-19 by Fuzzy Logic -- 4. Role of Artificial Intelligence...

Persistent link: https://www.econbiz.de/10013040854