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Multiple Perspectives for the Implementation of Innovative Technological Solutions in the Context of Data-Driven Decision-Making
This chapter deals with the changes caused by digital transformation that confront companies with more intense competition, performance pressure and...
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Many-objective emergency aided decision making based on knowledge graph
After emergencies occur, decision-makers can reference historical cases with similar causes to take similar emergency response measures. However,...
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Non-player character decision-making in computer games
One of the most overlooked challenges in artificial intelligence (AI) for computer games is to create non-player game characters (NPCs) with...
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Data-Driven Collaborative Human-AI Decision Making
Business analytics use advanced techniques that can analyze and process large and diverse data sets in order to generate valuable insights and lead...
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Cultivating Data Practices Across Boundaries: How Organizations Become Data-driven
In this paper, we analyze the efforts of a public healthcare business intelligence unit to implement and disseminate their data products and thus...
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Decision-Making in the Face of Uncertainty
Enterprises are fast evolving into complex system of systems that need to operate in a dynamic uncertain world characterized by unprecedented changes...
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Data-driven framework for evaluating digitization and artificial intelligence risk: a comprehensive analysis
The ongoing evolution of digitization and digital transformation, especially since the emergence of Industry 4.0, has led to the generation of vast...
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Using artificial intelligence to enhance patient autonomy in healthcare decision-making
The use of artificial intelligence in healthcare contexts is highly controversial for the (bio)ethical conundrums it creates. One of the main...
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Driver fatigue detection and human-machine cooperative decision-making for road scenarios
Driver fatigue detection and human-machine cooperative decision-making are key issues in intelligent transportation systems. The proposed method...
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Organisational culture and big data socio-technical systems on strategic decision making: Case of Saudi Arabian higher education
Considering the rise of implementation of big data analytics (BDA) in Saudi Arabian higher education institutions but with relatively lesser optimal...
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Enhancing crop recommendation systems with explainable artificial intelligence: a study on agricultural decision-making
Crop Recommendation Systems are invaluable tools for farmers, assisting them in making informed decisions about crop selection to optimize yields....
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Identifying Best Practice Melting Patterns in Induction Furnaces: A Data-Driven Approach Using Time Series K-Means Clustering and Multi-criteria Decision Making
Improving energy efficiency in industrial production processes is crucial for competitiveness, and compliance with climate policies. This paper...
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Exploring differences in ethical decision-making processes between humans and ChatGPT-3 model: a study of trade-offs
This study aimed to investigate the decision-making abilities of ChatGPT-3, an artificial intelligence (AI) system, in ethical dilemmas, with a focus...
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University Student Dashboard: Enhancing Student Trend Analysis and Decision-Making Processes
In today’s data-driven era, organizations are constantly seeking ways to improve their decision-making processes, and dashboards have emerged as an...
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Decision making for selection of smart vehicle transportation system using VIKOR approach
The advent of technology has facilitated communication among individuals, structures, and transport, thereby revolutionizing contemporary living. In...
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Smart Data Driven Decision Trees Ensemble Methodology for Imbalanced Big Data
Differences in data size per class, also known as imbalanced data distribution, have become a common problem affecting data quality. Big Data...
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Conformalized prescriptive machine learning for uncertainty-aware automated decision making: the case of goodwill requests
Due to the inherent presence of uncertainty in machine learning (ML) systems, the usage of ML is until now out of scope for many critical (financial)...
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Empowering Network Security through Advanced Analysis of Malware Samples: Leveraging System Metrics and Network Log Data for Informed Decision-Making
In the never-ending battle against rising malware threats, cybersecurity professionals were constantly challenged by malware researchers. Businesses...
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An overview of consensus models for group decision-making and group recommender systems
Group decision-making processes can be supported by group recommender systems that help groups of users obtain satisfying decision outcomes. These...
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Data-Driven Intelligence Can Revolutionize Today’s Cybersecurity World: A Position Paper
As cyber threats evolve and grow progressively more sophisticated, cyber security is becoming a more significant concern in today’s digital era....