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Data Analytics for Social, Economic and Environmental Issues

This special issue belongs to the section “Systems Practice in Social Science“.

Special Issue Information

Dear Colleagues,

Data are being generated at a much faster rate, and the volume of data being collected in business, engineering, science, and other fields is much greater than ever before. This has huge implications for data-related issues. Data analytics (DA) is becoming increasingly important in all aspects of business management and a major area of study for both practitioners and researchers. The application of DA techniques and tools to analyze large and complex data for various applications can help organizations harness vast amounts of data to gain actionable insights and uncover useful information for making informed decisions across business processes while adjusting to consumer preferences. Through DA, organizations and policy makers can gain valuable insights by analyzing trends, patterns, and citizen/consumer behaviors with implications for social, economic, and environmental performance.

This Special Issue will contribute to a better and more comprehensive understanding of DA in the social, economic, and environmental dimensions of the business landscape.

  • Data governance in a DA-driven world;
  • DA capabilities as a reporting enabler;
  • DA and the supply chain;
  • DA to predict and achieve social, economic, and environmental goals;
  • DA and environmental changes;
  • DA predicting consumer behavior and adapting marketing strategies;
  • DA in second-hand markets as a driver of sustainability;
  • DA and the circular economy.

Dr. Martins Adelaide
Dr. Susana Silva
Dr. Bruno Veloso
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 250 words) can be sent to the Editorial Office for assessment.

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. Systems is an international peer-reviewed open access monthly 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 2400 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 analytics
  • big data
  • data governance
  • information systems
  • social, economic, and environmental dimensions
  • behavioral trends
  • reporting
  • economic analysis and forecast

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Systems - ISSN 2079-8954