Implementing the Serial Number Tracking model in telecommunications: a case study of Croatia
Additional contact information
Polovina Neven: Hrvatski telekom d.d., Zagreb, Croatia
Business Systems Research, 2012, vol. 3, issue 1, 49-60
Background: The case study describes the implementation of the SNT (Serial Number Tracking) model in an integrated information system, as a means of business support in a Croatian mobile telecommunications company. Objectives: The goal was to show how to make the best practice of the SNT implementation in the telecommunication industry, with referencing to problems which have arisen during the implementation. Methods/Approach: the case study approach was used based on the documentation about the SNT model and the business intelligence system in the Croatian mobile telecommunications company. Results: Economic aspects of the effectiveness of the SNT model are described and confirmed based on actual tangible and predominantly on intangible benefits. Conclusions: Advantages of the SNT model are multiple: operating costs for storage and transit of goods were reduced, accuracy of deliveries and physical inventory was improved; a new source of information for the business intelligence system was obtained; operating processes in the distribution of goods were advanced; transit insurance costs decreased and there were fewer cases of fraudulent behaviour.
Keywords: Mobile telecommunications; business processes; bar code; SAP; IT project implementation (search for similar items in EconPapers)
References: View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:bit:bsrysr:v:3:y:2012:i:1:p:49-60
Access Statistics for this article
Business Systems Research is currently edited by Mirjana Pejić Bach
More articles in Business Systems Research from Sciendo
Bibliographic data for series maintained by Peter Golla ().