Data-Driven Strategic Approaches to Public Management

A special issue of World (ISSN 2673-4060).

Deadline for manuscript submissions: 30 November 2024 | Viewed by 646

Special Issue Editors


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Guest Editor
Department of Business Administration, University of Piraeus, 18534 Piraeus, Greece
Interests: business analytics; statistical machine learning; statistical monitoring; public health monitoring; environmental moni-toring

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Guest Editor
Department of Business Administration, University of Piraeus, 18534 Piraeus, Greece
Interests: technology systems; environmental management; technology and innovation management; business plans and feasibility studies; energy management; public economics

E-Mail Website
Guest Editor
Department of Business Administration, University of Piraeus, 18534 Piraeus, Greece
Interests: technology systems; environmental management; technology and innovation management; business plans and feasibility studies; energy management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Data-driven strategic approaches to public management are related to the application of data-driven methodologies such as Data Analytics (DA), Statistical Learning (SL), and Artificial Intelligence (AI) in the field of public administration and governance. Data-driven strategic approaches to public management aim to enhance the efficiency, effectiveness, and responsiveness of government agencies by leveraging the power of data and analytics. By making informed decisions and optimizing resource utilization, governments can better address the needs of their constituents and improve overall governance.

Today, the use of DA, SL, and AI in public management has become increasingly prevalent, offering transformative benefits in terms of efficiency, decision-making, and service delivery. However, it is important to note that while DA, SL, and AI offer numerous benefits, there are also ethical considerations, including privacy concerns, biases in algorithms, and the need for transparency. Implementing these technologies in public management requires careful planning, governance frameworks, and a commitment to ethical practices to ensure responsible and effective use.

In this Special Issue, we aim to collect high-quality studies related to the application of Data-driven strategic approaches to public management (e.g., innovative applications of data-driven methods in public health management, optimizing transportation routes, predicting service demand, and detecting and preventing fraud in public programs). We welcome studies attempting to address global challenges such as public health management, public financial management, climate change monitoring and environmental pollution monitoring, education management, and others. We are also interested in contributions that provide insights into how data analytics can lead to a sustainable society. This collection of studies is expected to help formulate solutions to address the overall challenges and develop interdisciplinary research directions for our advancement to a sustainable world. Empirical or review studies, as well as other acceptable article types, are welcome.

In this Special Issue, original research articles and reviews are welcome. Studies of interest include, but are not limited to, data-driven strategic approaches in the following fields:

  • Predictive analytics for policy planning;
  • Optimizing public service delivery;
  • Fraud detection and prevention in public health;
  • Enhancing public safety;
  • Environmental monitoring and sustainability;
  • Automated decision-making;
  • Data-driven policy evaluation;
  • Citizen engagement and feedback;
  • Healthcare planning and management;
  • Resource optimization;
  • Smart city initiatives;
  • Human resource management;
  • Emergency response and disaster management;
  • Education planning and resource allocation;
  • Social services optimization;
  • Regulatory compliance and monitoring;
  • Economic development and planning;
  • Public transportation optimization;
  • Public health surveillance;
  • Tax revenue optimization;
  • Fraud detection in taxation;
  • Energy consumption optimization;
  • Urban planning and development;
  • Public-private partnerships (PPPs) optimization;
  • Sustainable production management and efficient use of natural resources;
  • Sustainable tourism management;
  • Sustainable management of energy;
  • Sustainable transportation and supply chain;
  • Responsible energy lifestyle patterns;
  • Eco-design and energy-efficient design;
  • Circular economy;
  • Climate-neutral production and consumption.

We look forward to receiving your contributions.

Prof. Dr. Sotirios Bersimis
Dr. Andreas Fousteris
Prof. Dr. Dimitrios A. Georgakellos
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. World is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • data-driven strategic approaches
  • public management
  • public health
  • public sector efficiency
  • data analytics
  • statistical learning
  • artificial intelligence
  • sustainability

Published Papers (1 paper)

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Research

18 pages, 3811 KiB  
Article
Data-Driven Strategies for Optimizing Albania’s Utilization of Renewable Energy Sources from Urban Waste: Current Status and Future Prospects
by Sonila Vito, Ilirjana Boci, Mohammad Gheibi, Klodian Dhoska, Ilirjan Malollari, Elmaz Shehu, Reza Moezzi and Andres Annuk
World 2024, 5(2), 258-275; https://doi.org/10.3390/world5020014 - 26 Apr 2024
Viewed by 399
Abstract
Albania is now implementing a range of steps as part of its journey towards European Union integration, based on agreements that have been achieved. Key to these initiatives is the extensive adoption of circular economy concepts through comprehensive waste management systems. This collaboration [...] Read more.
Albania is now implementing a range of steps as part of its journey towards European Union integration, based on agreements that have been achieved. Key to these initiatives is the extensive adoption of circular economy concepts through comprehensive waste management systems. This collaboration is based on systematically implementing measures that align with the fundamental principles of the waste management hierarchy. Albania wants to lead in waste-to-energy conversion exploration by focusing on trash minimization, reuse, recycling, and energy generation from residual waste. Although there has been notable advancement, especially in aligning laws with EU requirements, there are practical obstacles, especially in the execution of waste-to-energy projects. The challenges involve the need for effective waste segregation, higher recycling rates, and the use of advanced waste-to-energy technologies. The essay utilizes meticulously selected data on Albania’s waste generation from reputable organizations and the legal framework regulating waste management to assess the current situation and predict future possibilities, which may be advantageous for government ministries and agency platforms. Full article
(This article belongs to the Special Issue Data-Driven Strategic Approaches to Public Management)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Data-Driven Strategies for Optimizing Albania's Utilization of Renewable Energy Sources from Urban Waste: Current Status and Future Prospects
Author: MOEZZI
Highlights: Evaluation of current status that how far Albania is making strides in aligning its waste management practices with EU directives and circular economy principles. Progress and challenges are investigated in efficiently segregating waste at its source and increasing recycling rates. The exploration of waste-to-energy conversion technologies are discussed in about both opportunities and obstacles for Albania's renewable energy ambitions.

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