An analytics framework for improving public service operations and processes towards transparency issues

Wuttigrai Ngamsirijit ()
Additional contact information
Wuttigrai Ngamsirijit: National Institute of Development Administration

No 5907847, Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences

Abstract: It is critical for a public sector to raise awareness and fight against the corruption. Among many government projects, enhancing transparency through improving public service operations and processes can be seen as one of the solutions. This study presents the lesson learnt from the transparency project performed by government agencies including selection process and criteria, selected processes, attitudes towards the project, and various obstacles and limitations in deriving the right process. These findings are synthesized and an analytics framework of public service process selection for transparency is then proposed. Such framework incorporates data analytics methodologies and techniques so that it can be further developed to build transparency in today?s digital age.

Keywords: Service operations; Analytics; Transparency; Anti-corruption (search for similar items in EconPapers)
JEL-codes: L32 M29 O21 (search for similar items in EconPapers)
Pages: 7 pages
Date: 2017-10
New Economics Papers: this item is included in nep-ict
References: View references in EconPapers View complete reference list from CitEc
Citations:

Published in Proceedings of the Proceedings of the 34th International Academic Conference, Florence, Oct 2017, pages 165-171

Downloads: (external link)
https://iises.net/proceedings/34th-international-a ... =59&iid=036&rid=7847 First version, 2017

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sek:iacpro:5907847

Access Statistics for this paper

More papers in Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences
Bibliographic data for series maintained by Klara Cermakova ().