A performance-driven incentive-based approach for successful service delivery

This paper proposes an appropriate incentive scheme design for service delivery systems to ensure service deliverability. We use proactive continuous performance monitoring to provide qualitative observations and data on how well services are being provided and whether desired service outcomes are...

Full description

Bibliographic Details
Main Author: Fachrunnisa, Olivia
Other Authors: Ju-Jang Lee
Format: Conference Paper
Published: IEEE 2011
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/49383
_version_ 1848758228945469440
author Fachrunnisa, Olivia
author2 Ju-Jang Lee
author_facet Ju-Jang Lee
Fachrunnisa, Olivia
author_sort Fachrunnisa, Olivia
building Curtin Institutional Repository
collection Online Access
description This paper proposes an appropriate incentive scheme design for service delivery systems to ensure service deliverability. We use proactive continuous performance monitoring to provide qualitative observations and data on how well services are being provided and whether desired service outcomes are being achieved as a result of interaction between two parties (service provider and service requester). The paper provides a general framework for analyzing the effectiveness of incentive and proactive continuous monitoring in ensuringsuccessful service delivery. The objective of the incentive is to motivate the service provider to deliver service as agreed to by both parties. We show the robustness of the framework by running several simulations under various conditions. It is shown that proactive continuous monitoring and incentive are essential for increasing performance which will result in successful service delivery.
first_indexed 2025-11-14T09:40:40Z
format Conference Paper
id curtin-20.500.11937-49383
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T09:40:40Z
publishDate 2011
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-493832023-02-02T07:57:35Z A performance-driven incentive-based approach for successful service delivery Fachrunnisa, Olivia Ju-Jang Lee Marc Wilhelm Kuster service delivery incentive digital ecosystems This paper proposes an appropriate incentive scheme design for service delivery systems to ensure service deliverability. We use proactive continuous performance monitoring to provide qualitative observations and data on how well services are being provided and whether desired service outcomes are being achieved as a result of interaction between two parties (service provider and service requester). The paper provides a general framework for analyzing the effectiveness of incentive and proactive continuous monitoring in ensuringsuccessful service delivery. The objective of the incentive is to motivate the service provider to deliver service as agreed to by both parties. We show the robustness of the framework by running several simulations under various conditions. It is shown that proactive continuous monitoring and incentive are essential for increasing performance which will result in successful service delivery. 2011 Conference Paper http://hdl.handle.net/20.500.11937/49383 10.1109/DEST.2011.5936645 IEEE fulltext
spellingShingle service delivery
incentive
digital ecosystems
Fachrunnisa, Olivia
A performance-driven incentive-based approach for successful service delivery
title A performance-driven incentive-based approach for successful service delivery
title_full A performance-driven incentive-based approach for successful service delivery
title_fullStr A performance-driven incentive-based approach for successful service delivery
title_full_unstemmed A performance-driven incentive-based approach for successful service delivery
title_short A performance-driven incentive-based approach for successful service delivery
title_sort performance-driven incentive-based approach for successful service delivery
topic service delivery
incentive
digital ecosystems
url http://hdl.handle.net/20.500.11937/49383