Monitoring and Evaluation Data Management and Project Performance: A Review on Infrastructure Projects

Austine Muma Okello

doi:doi:10.11648/j.rd.20210203.12

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Monitoring and Evaluation Data Management and Project Performance: A Review on Infrastructure Projects

Austine Muma Okello

Published in Research & Development (Volume 2, Issue 3)

Received: 13 June 2021 Accepted: 29 June 2021 Published: 11 August 2021

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Abstract

This paper assesses the nexus between M&E data management and project performance with a focus on infrastructural projects. The paper examines and critically analyses relevant models, theories and empirical literature on M&E data management and project performance. Through examination and analysis, the paper comes up with a proposition aimed at informing further study on the M&E data management and project performance. In addition, the paper builds theoretical and conceptual ground for further studies on the research variables. From critical assessment of theories, models and empirical literature, the paper established positive relationship between M&E data management and project performance. In addition, the paper recommends two models; the project performance assessment model and the logical framework model and two theories; theory of change and dynamic capabilities theory as relevant in explaining the relationship between M&E data management and project performance. The paper gives a proposition on the nexus between M&E data management and project performance. It identifies significant gap in theoretical foundations for studies on M&E data management and project performance and recommends development of project specific models to enhance operationalized project performance assessment.

Published in	Research & Development (Volume 2, Issue 3)
DOI	10.11648/j.rd.20210203.12
Page(s)	43-49
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

M&E Data Management, Project Performance, Infrastructure Projects

References

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APA Style

Austine Muma Okello. (2021). Monitoring and Evaluation Data Management and Project Performance: A Review on Infrastructure Projects. Research & Development, 2(3), 43-49. https://doi.org/10.11648/j.rd.20210203.12

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ACS Style

Austine Muma Okello. Monitoring and Evaluation Data Management and Project Performance: A Review on Infrastructure Projects. Res. Dev. 2021, 2(3), 43-49. doi: 10.11648/j.rd.20210203.12

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AMA Style

Austine Muma Okello. Monitoring and Evaluation Data Management and Project Performance: A Review on Infrastructure Projects. Res Dev. 2021;2(3):43-49. doi: 10.11648/j.rd.20210203.12

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@article{10.11648/j.rd.20210203.12,
  author = {Austine Muma Okello},
  title = {Monitoring and Evaluation Data Management and Project Performance: A Review on Infrastructure Projects},
  journal = {Research & Development},
  volume = {2},
  number = {3},
  pages = {43-49},
  doi = {10.11648/j.rd.20210203.12},
  url = {https://doi.org/10.11648/j.rd.20210203.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.rd.20210203.12},
  abstract = {This paper assesses the nexus between M&E data management and project performance with a focus on infrastructural projects. The paper examines and critically analyses relevant models, theories and empirical literature on M&E data management and project performance. Through examination and analysis, the paper comes up with a proposition aimed at informing further study on the M&E data management and project performance. In addition, the paper builds theoretical and conceptual ground for further studies on the research variables. From critical assessment of theories, models and empirical literature, the paper established positive relationship between M&E data management and project performance. In addition, the paper recommends two models; the project performance assessment model and the logical framework model and two theories; theory of change and dynamic capabilities theory as relevant in explaining the relationship between M&E data management and project performance. The paper gives a proposition on the nexus between M&E data management and project performance. It identifies significant gap in theoretical foundations for studies on M&E data management and project performance and recommends development of project specific models to enhance operationalized project performance assessment.},
 year = {2021}
}

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TY  - JOUR
T1  - Monitoring and Evaluation Data Management and Project Performance: A Review on Infrastructure Projects
AU  - Austine Muma Okello
Y1  - 2021/08/11
PY  - 2021
N1  - https://doi.org/10.11648/j.rd.20210203.12
DO  - 10.11648/j.rd.20210203.12
T2  - Research & Development
JF  - Research & Development
JO  - Research & Development
SP  - 43
EP  - 49
PB  - Science Publishing Group
SN  - 2994-7057
UR  - https://doi.org/10.11648/j.rd.20210203.12
AB  - This paper assesses the nexus between M&E data management and project performance with a focus on infrastructural projects. The paper examines and critically analyses relevant models, theories and empirical literature on M&E data management and project performance. Through examination and analysis, the paper comes up with a proposition aimed at informing further study on the M&E data management and project performance. In addition, the paper builds theoretical and conceptual ground for further studies on the research variables. From critical assessment of theories, models and empirical literature, the paper established positive relationship between M&E data management and project performance. In addition, the paper recommends two models; the project performance assessment model and the logical framework model and two theories; theory of change and dynamic capabilities theory as relevant in explaining the relationship between M&E data management and project performance. The paper gives a proposition on the nexus between M&E data management and project performance. It identifies significant gap in theoretical foundations for studies on M&E data management and project performance and recommends development of project specific models to enhance operationalized project performance assessment.
VL  - 2
IS  - 3
ER  -

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Author Information

Austine Muma Okello

School of Continuing and Distance Education, University of Nairobi, Nairobi, Kenya

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Plain Text BibTeX RIS

APA Style

Austine Muma Okello. (2021). Monitoring and Evaluation Data Management and Project Performance: A Review on Infrastructure Projects. Research & Development, 2(3), 43-49. https://doi.org/10.11648/j.rd.20210203.12

Copy | Download

ACS Style

Austine Muma Okello. Monitoring and Evaluation Data Management and Project Performance: A Review on Infrastructure Projects. Res. Dev. 2021, 2(3), 43-49. doi: 10.11648/j.rd.20210203.12

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AMA Style

Austine Muma Okello. Monitoring and Evaluation Data Management and Project Performance: A Review on Infrastructure Projects. Res Dev. 2021;2(3):43-49. doi: 10.11648/j.rd.20210203.12

Copy | Download

@article{10.11648/j.rd.20210203.12,
  author = {Austine Muma Okello},
  title = {Monitoring and Evaluation Data Management and Project Performance: A Review on Infrastructure Projects},
  journal = {Research & Development},
  volume = {2},
  number = {3},
  pages = {43-49},
  doi = {10.11648/j.rd.20210203.12},
  url = {https://doi.org/10.11648/j.rd.20210203.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.rd.20210203.12},
  abstract = {This paper assesses the nexus between M&E data management and project performance with a focus on infrastructural projects. The paper examines and critically analyses relevant models, theories and empirical literature on M&E data management and project performance. Through examination and analysis, the paper comes up with a proposition aimed at informing further study on the M&E data management and project performance. In addition, the paper builds theoretical and conceptual ground for further studies on the research variables. From critical assessment of theories, models and empirical literature, the paper established positive relationship between M&E data management and project performance. In addition, the paper recommends two models; the project performance assessment model and the logical framework model and two theories; theory of change and dynamic capabilities theory as relevant in explaining the relationship between M&E data management and project performance. The paper gives a proposition on the nexus between M&E data management and project performance. It identifies significant gap in theoretical foundations for studies on M&E data management and project performance and recommends development of project specific models to enhance operationalized project performance assessment.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Monitoring and Evaluation Data Management and Project Performance: A Review on Infrastructure Projects
AU  - Austine Muma Okello
Y1  - 2021/08/11
PY  - 2021
N1  - https://doi.org/10.11648/j.rd.20210203.12
DO  - 10.11648/j.rd.20210203.12
T2  - Research & Development
JF  - Research & Development
JO  - Research & Development
SP  - 43
EP  - 49
PB  - Science Publishing Group
SN  - 2994-7057
UR  - https://doi.org/10.11648/j.rd.20210203.12
AB  - This paper assesses the nexus between M&E data management and project performance with a focus on infrastructural projects. The paper examines and critically analyses relevant models, theories and empirical literature on M&E data management and project performance. Through examination and analysis, the paper comes up with a proposition aimed at informing further study on the M&E data management and project performance. In addition, the paper builds theoretical and conceptual ground for further studies on the research variables. From critical assessment of theories, models and empirical literature, the paper established positive relationship between M&E data management and project performance. In addition, the paper recommends two models; the project performance assessment model and the logical framework model and two theories; theory of change and dynamic capabilities theory as relevant in explaining the relationship between M&E data management and project performance. The paper gives a proposition on the nexus between M&E data management and project performance. It identifies significant gap in theoretical foundations for studies on M&E data management and project performance and recommends development of project specific models to enhance operationalized project performance assessment.
VL  - 2
IS  - 3
ER  -

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