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An analysis of search strategies for EPC online matching platforms

Energy Performance Contracting (EPC) is a mechanism which is widely used in energy conservation project. The low matching efficiency between ESCO and EU limits the performance of the EPC market which is an urgent problem. Solving this problem can significantly improve the efficiency of energy saving...

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Main Authors: Yan, Toh Pei Sung, James Alin, Debbra Toria Nipo
Format: Proceedings
Language:English
English
Published: Faculty of Business, Economics and Accountancy 2021
Subjects:
QA150-272.5 Algebra
T1-995 Technology (General)
Online Access:https://eprints.ums.edu.my/id/eprint/32199/1/An%20analysis%20of%20search%20strategies%20for%20EPC%20online%20matching%20platforms.ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/32199/2/AN%20ANALYSIS%20OF%20SEARCH%20STRATEGIES%20FOR%20EPC%20ONLINE%20MATCHING%20PLATFORMS.pdf
https://eprints.ums.edu.my/id/eprint/32199/
https://www.ums.edu.my/fpep/New%20Folder%201/PROCEEDINGS_OF_3RD_INTERNATIONAL_CONFERENCE_ON_ECONOMICS_ICE2021_.pdf
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spelling my.ums.eprints.321992022-04-01T06:37:37Z https://eprints.ums.edu.my/id/eprint/32199/ An analysis of search strategies for EPC online matching platforms Yan Toh Pei Sung James Alin Debbra Toria Nipo QA150-272.5 Algebra T1-995 Technology (General) Energy Performance Contracting (EPC) is a mechanism which is widely used in energy conservation project. The low matching efficiency between ESCO and EU limits the performance of the EPC market which is an urgent problem. Solving this problem can significantly improve the efficiency of energy saving industry. It is of great significance to environmental protection. Online matching platforms can significantly improve the search efficiency in the matching process which is important in improving the performance of EPC market. This paper analysis the interplay between ESCO, EU and the online matching platform, using game theoretic models. We examine whether the online matching platform should target both H-type and L-type match-seekers or an exclusive H-type match-seekers group and how the platform should price the search services. Our research provides meaningful insights for online matching platform about the relationship between the matching effectiveness and search fee, guidelines for the pricing and positioning search service. Furthermore, we find that the price of platforms for search service can impact the decisions of each match-seekers which in turn affect the performance of the hole EPC market. Results from this study provide basic guides to develop EPC online matching platform. Faculty of Business, Economics and Accountancy 2021 Proceedings PeerReviewed text en https://eprints.ums.edu.my/id/eprint/32199/1/An%20analysis%20of%20search%20strategies%20for%20EPC%20online%20matching%20platforms.ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/32199/2/AN%20ANALYSIS%20OF%20SEARCH%20STRATEGIES%20FOR%20EPC%20ONLINE%20MATCHING%20PLATFORMS.pdf Yan and Toh Pei Sung and James Alin and Debbra Toria Nipo (2021) An analysis of search strategies for EPC online matching platforms. https://www.ums.edu.my/fpep/New%20Folder%201/PROCEEDINGS_OF_3RD_INTERNATIONAL_CONFERENCE_ON_ECONOMICS_ICE2021_.pdf
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic QA150-272.5 Algebra
T1-995 Technology (General)
spellingShingle QA150-272.5 Algebra
T1-995 Technology (General)
Yan
Toh Pei Sung
James Alin
Debbra Toria Nipo
An analysis of search strategies for EPC online matching platforms
description Energy Performance Contracting (EPC) is a mechanism which is widely used in energy conservation project. The low matching efficiency between ESCO and EU limits the performance of the EPC market which is an urgent problem. Solving this problem can significantly improve the efficiency of energy saving industry. It is of great significance to environmental protection. Online matching platforms can significantly improve the search efficiency in the matching process which is important in improving the performance of EPC market. This paper analysis the interplay between ESCO, EU and the online matching platform, using game theoretic models. We examine whether the online matching platform should target both H-type and L-type match-seekers or an exclusive H-type match-seekers group and how the platform should price the search services. Our research provides meaningful insights for online matching platform about the relationship between the matching effectiveness and search fee, guidelines for the pricing and positioning search service. Furthermore, we find that the price of platforms for search service can impact the decisions of each match-seekers which in turn affect the performance of the hole EPC market. Results from this study provide basic guides to develop EPC online matching platform.
format Proceedings
author Yan
Toh Pei Sung
James Alin
Debbra Toria Nipo
author_facet Yan
Toh Pei Sung
James Alin
Debbra Toria Nipo
author_sort Yan
title An analysis of search strategies for EPC online matching platforms
title_short An analysis of search strategies for EPC online matching platforms
title_full An analysis of search strategies for EPC online matching platforms
title_fullStr An analysis of search strategies for EPC online matching platforms
title_full_unstemmed An analysis of search strategies for EPC online matching platforms
title_sort analysis of search strategies for epc online matching platforms
publisher Faculty of Business, Economics and Accountancy
publishDate 2021
url https://eprints.ums.edu.my/id/eprint/32199/1/An%20analysis%20of%20search%20strategies%20for%20EPC%20online%20matching%20platforms.ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/32199/2/AN%20ANALYSIS%20OF%20SEARCH%20STRATEGIES%20FOR%20EPC%20ONLINE%20MATCHING%20PLATFORMS.pdf
https://eprints.ums.edu.my/id/eprint/32199/
https://www.ums.edu.my/fpep/New%20Folder%201/PROCEEDINGS_OF_3RD_INTERNATIONAL_CONFERENCE_ON_ECONOMICS_ICE2021_.pdf
_version_ 1760230993759830016
score 13.211869

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