APPLIED RESEARCH IN ADMINISTRATIVE SCIENCES, VOLUME 4, ISSUE 3 / December 2023 published!

ISSN: ISSN: 2734-5602

ISSN-L: 2734-5602

Publisher:
Editura ASE, Publishing House of The Bucharest University of Economic Studies

https://www.editura.ase.ro/

Reg.no: 4433775

www.ase.ro

JOURNAL DESCRIPTION

APPLIED RESEARCH IN ADMINISTRATIVE SCIENCES (ARAS

Founded in August 2020 by the Research Centre in Public Administration and Public Services, Bucharest University of Economic Studies.

ARAS is a peer-reviewed journal, issued 3 times in a year in electronic form.

The international standard serial number  for ARAS is 2734-5602.

AIMS AND SCOPE

APPLIED RESEARCH IN ADMINISTRATIVE SCIENCES is an international journal, which advances theory, research and practice in  public administration and business fields..

The journal aims to provide theoretically and empirically informed analysis on social, economical and technical issues related with the development in the field of  both public and private administration research .

Embracing a multidisciplinary approach to the field, ARAS publishes papers on a wide range of topics related to  management:

  • public administration
  • public management
  • public policy
  • public affairs
  • business
  • strategic management
  • quality management
  • production management
  • human resources management
  • project management
  • urban management
  • information  management
  • any other topic relevant to the above fields

The journal is addressed to diverse communities, including, but not limited to, academics, managers,  economists, engineers,  undergraduate and postgraduate students, anyone with a serious interest in the public and private management.

The contributions suitable for ARAS should fall into one of the following categories:

  • Full-length research papers presenting important new findings in the field (max. 20 pages);
  • Article and book reviews in the field (2-5 pages);
  • Case studies describing new developments (max. 20 pages);
  • Academic discussion papers dealing with medium to long-term trends and predictions (max. 20 pages)

The submitted papers should be original, unpublished, and not in consideration for publication elsewhere at the time of submission to the journal.

The journal is indexed in the following databases:

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