Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Identification and prioritization of stage-level KPIs for BOT projects - evidence from Turkey
Date
2020-09-01
Author
BUDAYAN, Cenk
OKUDAN, Ozan
Dikmen Toker, İrem
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
156
views
0
downloads
Cite This
Purpose The purpose of this paper is to identify and prioritize key performance indicators (KPIs) that can be used for stage-based performance assessment of build-operate-transfer (BOT) projects. Design/methodology/approach This research was conducted through focus group discussions and face-to-face questionnaires. Firstly, stage-level KPIs for BOT projects were identified by conducting a literature survey. The list of KPIs that can be used for measuring performance at different stages of a BOT project was finalized by conducting focus group discussions with 12 participants. The data related to the importance of identified KPIs were collected via a face-to-face questionnaire in which 30 high-level managers participated. Based on these data, KPIs were prioritized considering eight different stages of a BOT project by using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Findings The research findings reveal that 63 stage-level KPIs can be used for measuring the performance of BOT projects at eight different stages, which are "feasibility study and preliminary plan," "announcement and submission of application," "evaluation and selection," "negotiation and signing of concession agreement," "design," "construction," "operation" and "transfer." The most important KPIs were determined as "comprehensiveness of project technical feasibility," "detailed tendering procedure," "effectiveness of concessionaires' technical knowledge/capability evaluation," "good relationships between government and concessionaire," "technology transfer," "effectiveness of quality control," "effectiveness of facility management" and "effectiveness of hand-back management" for each stage. The findings can be used by companies to evaluate performance at each stage of a BOT project and, if necessary, take the necessary actions for performance improvement at the stage level. Research limitations/implications The main limitation is the size of the sample, which represents the perspectives of 30 Turkish high-level managers on KPIs in BOT projects. Besides, the selected method, namely, TOPSIS, does not provide quality measures related to the outputs; therefore, it is difficult to see the inconsistencies among the experts. Practical implications The study findings will help in devising appropriate performance evaluation practices for BOT projects to overcome the shortfalls of the existing practices and systems proposed in the literature and help in achieving the superior performance while developing infrastructure through the BOT route. Originality/value This paper proposes a process-based approach for measuring the performance of a BOT project considering eight different stages. It fills a research gap in the public-private partnership literature by focusing on stages rather than phases. The results can be used by practitioners to establish stage-level performance management systems for BOT projects.
Subject Keywords
Key performance indicators
,
Project performance
,
Performance management
,
TOPSIS
,
Public-private partnership
URI
https://hdl.handle.net/11511/37478
Journal
INTERNATIONAL JOURNAL OF MANAGING PROJECTS IN BUSINESS
DOI
https://doi.org/10.1108/ijmpb-11-2019-0286
Collections
Department of Civil Engineering, Article
Suggestions
OpenMETU
Core
Accuracy Barrier (ACCBAR): A novel performance indicator for binary classification
Canbek, Gurol; Taşkaya Temizel, Tuğba; SAĞIROĞLU, ŞEREF (2022-01-01)
Although several binary classification performance metrics have been defined, a few of them are used for performance evaluation of classifiers and performance comparison/reporting in the literature. Specifically, F1 and Accuracy (ACC) are the most known and conventionally used metrics. Despite their popularity and easy-to-understand characteristics, those metrics exhibit critical robustness issues. This paper suggests a new instrument category named 'performance indicators' and proposes a novel indicator na...
Identifying (Quasi) Equally Informative Subsets in Feature Selection Problems for Classification: A Max-Relevance Min-Redundancy Approach
Karakaya, Gülşah; AHİPAŞAOĞLU, Selin Damla; TAORMİNA, Riccardo (2016-06-01)
An emerging trend in feature selection is the development of two-objective algorithms that analyze the tradeoff between the number of features and the classification performance of the model built with these features. Since these two objectives are conflicting, a typical result stands in a set of Pareto-efficient subsets, each having a different cardinality and a corresponding discriminating power. However, this approach overlooks the fact that, for a given cardinality, there can be several subsets with sim...
Understanding drivers of performance in the 3PL industry in Hong Kong
Huo, Baofeng; Selen, Willem; Yeung, Jeff Hoi Yan; Zhao, Xiande (Emerald, 2008-01-01)
Purpose - The aim of this paper is to develop an overarching framework to better understand drivers of performance in third-party logistics (3PL) linked to the operations strategy literature.
An experimental study for simulation based assessment of information system design performance
Ayyildiz, Bulent; Akman, Ibrahim; Arifoğlu, Ali (2007-07-04)
This paper presents an experimental study for evaluating the decision support value of queueing network (QN) based simulation models for information system design performance. For illustration, queueing network simulation models have been extracted corressponding to three annotated design alternatives of a selected case study. The design alternatives are produced using logical requirements of the selected system. The performance of each alternative is then predicted using quantifiable parameters considering...
Alignment of project management with business strategy in construction: evidence from the Turkish contractors
BUDAYAN, Cenk; Dikmen Toker, İrem; Birgönül, Mustafa Talat (2015-01-02)
The importance of fit between an organization's implementation of project management (PM), and its business level strategy is emphasized in the literature. However, there are a limited number of studies investigating the relationship between business level strategy and implementation of PM in the construction industry. This paper aligns one of the business strategies, namely differentiation, with the PM process. A framework representing differentiation in the construction industry is proposed in this study....
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
C. BUDAYAN, O. OKUDAN, and İ. Dikmen Toker, “Identification and prioritization of stage-level KPIs for BOT projects - evidence from Turkey,”
INTERNATIONAL JOURNAL OF MANAGING PROJECTS IN BUSINESS
, pp. 1311–1337, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/37478.