Natural logarithm transformation for predicting procurement time of PPP projects in Nigeria

Traditional method of procurement has been in practice over a considerable period and is still the most common type of public infrastructure procurement. The major alternative to it is the Public–Private Partnerships (PPP). PPP focuses on goods or service delivery by means of partnership between two...

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Autores principales:	Abdullahi Baba Ahmed, I. Musonda, JH Pretorius
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2019
Materias:	natural logarithm transformation procurement time public private partnerships multiple regression model Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/c0b360276b304810b86a0d7e58467d53
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spelling	oai:doaj.org-article:c0b360276b304810b86a0d7e58467d532021-11-04T15:51:55ZNatural logarithm transformation for predicting procurement time of PPP projects in Nigeria2331-191610.1080/23311916.2019.1571147https://doaj.org/article/c0b360276b304810b86a0d7e58467d532019-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311916.2019.1571147https://doaj.org/toc/2331-1916Traditional method of procurement has been in practice over a considerable period and is still the most common type of public infrastructure procurement. The major alternative to it is the Public–Private Partnerships (PPP). PPP focuses on goods or service delivery by means of partnership between two partners (private and public) to come together and share risks and rewards. However, PPP is criticized of being too costly, having a lengthy procurement period, etc. Nigeria, among other Sub-Sahara African countries, has the longest procurement time. This article, therefore, attempts to use secondary data from the World Bank to model and predict the procurement time of PPP projects in Nigeria using Natural Logarithm Transformation approach. A mathematical model that estimates the procurement time of PPP projects in Nigeria is developed using multiple regression analysis. Minitab Software version 18 was used. The model was validated and tested and was found to fall within the predetermined benchmark of ± 10% of what is obtainable in Nigeria. Using the model, procurement time of PPP projects in Nigeria was found to be 646 calendar days. A study from the World Bank on PPP procurement’s benchmarking indicates that Nigeria can procure a PPP project in 660 calendar days. From the calculated amount, it is possible to procure PPP projects in Nigeria within 646 calendar days showing a difference of 2%. A total of 646 days is too long, thus indicating a need for immediate improvement for maximum benefits.Abdullahi Baba AhmedI. MusondaJH PretoriusTaylor & Francis Grouparticlenatural logarithm transformationprocurement timepublic private partnershipsmultiple regression modelEngineering (General). Civil engineering (General)TA1-2040ENCogent Engineering, Vol 6, Iss 1 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	natural logarithm transformation procurement time public private partnerships multiple regression model Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	natural logarithm transformation procurement time public private partnerships multiple regression model Engineering (General). Civil engineering (General) TA1-2040 Abdullahi Baba Ahmed I. Musonda JH Pretorius Natural logarithm transformation for predicting procurement time of PPP projects in Nigeria
description	Traditional method of procurement has been in practice over a considerable period and is still the most common type of public infrastructure procurement. The major alternative to it is the Public–Private Partnerships (PPP). PPP focuses on goods or service delivery by means of partnership between two partners (private and public) to come together and share risks and rewards. However, PPP is criticized of being too costly, having a lengthy procurement period, etc. Nigeria, among other Sub-Sahara African countries, has the longest procurement time. This article, therefore, attempts to use secondary data from the World Bank to model and predict the procurement time of PPP projects in Nigeria using Natural Logarithm Transformation approach. A mathematical model that estimates the procurement time of PPP projects in Nigeria is developed using multiple regression analysis. Minitab Software version 18 was used. The model was validated and tested and was found to fall within the predetermined benchmark of ± 10% of what is obtainable in Nigeria. Using the model, procurement time of PPP projects in Nigeria was found to be 646 calendar days. A study from the World Bank on PPP procurement’s benchmarking indicates that Nigeria can procure a PPP project in 660 calendar days. From the calculated amount, it is possible to procure PPP projects in Nigeria within 646 calendar days showing a difference of 2%. A total of 646 days is too long, thus indicating a need for immediate improvement for maximum benefits.
format	article
author	Abdullahi Baba Ahmed I. Musonda JH Pretorius
author_facet	Abdullahi Baba Ahmed I. Musonda JH Pretorius
author_sort	Abdullahi Baba Ahmed
title	Natural logarithm transformation for predicting procurement time of PPP projects in Nigeria
title_short	Natural logarithm transformation for predicting procurement time of PPP projects in Nigeria
title_full	Natural logarithm transformation for predicting procurement time of PPP projects in Nigeria
title_fullStr	Natural logarithm transformation for predicting procurement time of PPP projects in Nigeria
title_full_unstemmed	Natural logarithm transformation for predicting procurement time of PPP projects in Nigeria
title_sort	natural logarithm transformation for predicting procurement time of ppp projects in nigeria
publisher	Taylor & Francis Group
publishDate	2019
url	https://doaj.org/article/c0b360276b304810b86a0d7e58467d53
work_keys_str_mv	AT abdullahibabaahmed naturallogarithmtransformationforpredictingprocurementtimeofpppprojectsinnigeria AT imusonda naturallogarithmtransformationforpredictingprocurementtimeofpppprojectsinnigeria AT jhpretorius naturallogarithmtransformationforpredictingprocurementtimeofpppprojectsinnigeria
_version_	1718444737879343104

Natural logarithm transformation for predicting procurement time of PPP projects in Nigeria

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