The basis of prospective analytics in business

Scientific Papers of Silesian University of Technology Organization and Management Series, Год журнала: 2023, Номер 2023(176)

Опубликована: Янв. 1, 2023

Purpose:The goal of the paper is to analyze main features, benefits and problems with prospective analytics usage.Design/methodology/approach: Critical literature analysis.Analysis international from databases polish legal acts connecting researched topic.Findings: Prescriptive aims assist businesses in making informed decisions that optimize desired outcomes or minimize undesired ones.It goes beyond predicting future provides recommendations on best actions achieve goals while considering potential risks uncertainties.Prescriptive finds applications various domains such as supply chain management, financial planning, healthcare, marketing, operations management.It empowers make data-driven decisions, resource allocation, enhance efficiency, gain a competitive advantage.Considered highest level analytics, prescriptive combines historical data, real-time information, optimization techniques, decision models generate actionable recommendations.Originality/value: Detailed analysis all subjects related connected analytics.

Язык: Английский

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The implementation of Industry 4.0 concept in Smart City

Scientific Papers of Silesian University of Technology Organization and Management Series, Год журнала: 2023, Номер 2023(178), С. 753 - 770

Опубликована: Янв. 1, 2023

Purpose: The purpose of this publication is to present relations between Industry 4.0 and Smart City. Design/methodology/approach: Critical literature analysis. Analysis international from main databases polish legal acts connecting with researched topic. Findings: study highlights the positive effects on Cities, including efficient infrastructure, connected transportation, data-driven decision-making, improved public services, enhanced safety security. Furthermore, supports sustainability, economic growth, resilience in Cities. However, implementing Cities poses challenges such as high costs, data security privacy concerns, digital divide issues, workforce displacement, technological complexity. Interoperability, energy consumption, lack standardization, overreliance technology, resistance change are also potential hurdles be addressed. Originality/value: Detailed analysis all subjects related problems smart city 4.0. Keywords: city, 4.0, digitalization, economy, services. Category paper: review.

Язык: Английский

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Empowering E-Learning Excellence: Unveiling the Influence of Outcome Expectation, Learning Motivation, and Self-Efficacy in the Industrial Era 4.0

Journal of Advanced Research in Applied Sciences and Engineering Technology, Год журнала: 2024, Номер 42(1), С. 254 - 264

Опубликована: Март 26, 2024

The advent of the 4th industrial revolution has fundamentally transformed various aspects human life. objective this study was to examine influence learning motivation, outcome expectation, and self-efficacy on enhancing quality online in context Fourth Industrial Revolution. population consisted 250 individuals from University Engineering Technology Taxila (UET) who were participating e-learning paradigm. Data collected while using an survey questionnaire. data run Smart PLS 4.0 reveals that efficacy are important factors assessing level education. In addition, it found played a role mediating impact motivation learning. However, other instances, have significant effect maximizing e-learning.

Язык: Английский

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Visual Data and Pattern Analysis for Smart Education: A Robust Drl-Based Early Warning System for Student Performance Prediction

Опубликована: Апрель 29, 2024

Artificial Intelligence (AI) and Deep Reinforcement Learning (DRL) have revolutionised e-learning by creating personalised, adaptive, secure environments. However, challenges such as privacy, bias, data limitations persist. E-FedCloud aims to address these issues providing more agile, experiences. This study introduces E-FedCloud, an AI-assisted adaptive system that automates personalised recommendations tracking, thereby enhancing student performance. It employs federated learning-based authentication ensure private access for both course instructors students. Intelligent Software Agents (ISAs) evaluate weekly engagement using the Shannon Entropy method, classifying students into either engaged or not-engaged clusters. utilises status, demographic information, innovative DRL-based early warning system, specifically ID2QN, predict performance of Based on predictions, categorises three groups: risk dropping out, scoring lower in final exam, failing end exam. a multi-disciplinary ontology graph attention-based capsule network automated, recommendations. The also integrates tracking enhance engagement. Data is securely stored blockchain LWEA encryption method.

Язык: Английский

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Project Management Standards

Scientific Papers of Silesian University of Technology Organization and Management Series, Год журнала: 2022, Номер 2022(160)

Опубликована: Янв. 1, 2022

Purpose:The aim of the paper is to analyze main project management standards and topics connected with quality in projects.Design/methodology/approach: Critical literature analysis.Analysis international from databases polish legal acts connecting researched topic.Findings: The considerations presented publication made it possible analyses most important aspects context management.The concentrate on problems various says about ISO non related projects trying characterize compare types approaches.There a spatial attention towards analysis projects.Especially risk process which are part also play role 9001 standards.Paper contains some impact COVID-19 pandemic try conclude methods how manage teams virtual environment.Originality/value: Detailed all subjects conext management.

Язык: Английский

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