A Change Management Approach with the Support of the Balanced Scorecard and the Utilization of Artificial Neural Networks

Abstract

Artificial Intelligence (AI) has revolutionized the way organizations face decision-making issues. One of these crucial elements is the implementation of organizational changes. There has been a wide-spread adoption of AI techniques in the private sector, whereas in the public sector their use has been recently extended. One of the greatest challenges that European governments have to face is the implementation of a wide variety of European Union (EU) funding programs which have evolved in the context of the EU long-term budget. In the current study, the Balanced Scorecard (BSC) and Artificial Neural Networks (ANNs) are intertwined with forecasting the outcomes of a co-financed EU program by means of its impact on the non-financial measures of the government body that materialized it. The predictive accuracy of the present model advanced in this research study takes into account all the complexities of the business environment, within which the provided dataset is produced. The outcomes of the study showed that the measures taken to enhance customer satisfaction allows for further improvement. The utilization of the proposed model could facilitate the decision-making process and initiate changes to the administrational issues of the available funding programs.

Benchmarking of Various Flexible Soft-Computing Strategies for the Accurate Estimation of Wind Turbine Output Power

“…In the present ANN-based soft-computing approach (n i = 7), the optimum n h value was explored in the range of 24-43 using WEKA's "multilayer perceptron" classifier that learns a multi-layer perceptron by backpropagation. The values of user-defined parameters (not presented here due to limited place) are consistent with the numerical simulation conditions considered in the previous MLP-based modeling studies [76,102,105,106].…”

The Implementation of the Balanced Scorecard for Improving Quality of Education

“…SMP Putra Satria well implements the concept of a Balanced scorecard. Financial and non-financial aspects are balanced so that every educational activity receives adequate financial support (Cignitas, Torrents Arévalo, & Vilajosana Crusells, 2022;Hadijaya et al, 2018;Khotimah, Karnati, & Sutjipto, 2022;Pietrzak, 2021;Psarras, Anagnostopoulos, Salmon, Psaromiligkos, & Vryzidis, 2022;Supendi, 2016). This means that financial and non-financial management always goes in rhythm, and there are no disturbances/problems from these two aspects so that educational institutions can face even the most difficult situations.…”

Ai-Enabled Customer Experience Enhancement in Business

“…This approach involves collaboration between domain experts in specific business areas and AI experts to develop effective solutions tailored to the business's unique needs. Finally, Psarras et al (2022) discuss the utilization of AI in decision-making processes, particularly in managing organizational changes. They illustrate how AI techniques, like Artificial Neural Networks, can be used in conjunction with management tools like the Balanced Scorecard to forecast outcomes and enhance customer satisfaction.…”

“…It also facilitates the tailoring of AI technologies to address these unique needs effectively. Psarras et al (2022) discuss the challenges in implementing AI from a change management perspective. They suggest using AI techniques, like Artificial Neural Networks, in conjunction with management tools to facilitate decision-making and manage organizational changes.…”