Problems and Optimal Methodologies Agile Project Management Solution in Publicly accessible Sector: A Comprehensive Evaluation of the Literature

Agile technique use in the public domain is not new. Governments all throughout the globe have been adopting Agile development in recent years, particularly in light of the Pandemic, which calls for swift decision-making. Agile implementation is still challenged, meantime, by the distinctions between the public and private sectors, such as the adherence to the hierarchy of authority concept. The purpose of this work is to investigate the difficulties and provide remedies for implementing Agile project oversight in the public domain by use of a PRISMA-based systematic literature review (SLR). Four papers databases-Scopus, ACM, IEEE Explore, & Emerald Research Insight-provided the material employed in the SLR. An aggregate of 43 difficult topics were identified from the analysis of 18 appropriate publications out of 595 that were found. The answer for every problem is found using the mapping findings from the SLR articles with PMBOK 7th version Guidebook. Each of these problems is grouped according to 8 project accomplishment areas of PMBOK 7th edition. Results revealed that, with eight shortcomings apiece, the Development Approach, Lifecycle, & project-related category segments had the greatest problems. Next the team with seven problems, the stakeholder with six, the delivery with five, the measurement with four, the scheduling with three, and uncertainty with two. Academics and practitioners might find this study helpful as a reference for tackling the difficulties of introducing agile project administration in the public sphere.

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Published
2024-09-18
DOI
https://doi.org/10.1109/ic3i61595.2024.10828832
Citations
15
Primary Topic
Smart Systems and Machine Learning
Type
article
Field-Weighted Citation Impact
5.23
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article

Problems and Optimal Methodologies Agile Project Management Solution in Publicly accessible Sector: A Comprehensive Evaluation of the Literature

Sakshi Takkar, Vikrant Sharma, Kapil Jairath, Tiyas Sarkar et al.
15 citations
Smart Systems and Machine Learning
5.23
article

Problems and Optimal Methodologies Agile Project Management Solution in Publicly accessible Sector: A Comprehensive Evaluation of the Literature

Sakshi Takkar, Vikrant Sharma, Kapil Jairath, Tiyas Sarkar, Amanpreet Singh, Amanpal Singh Rayat
article en
15 citations

Abstract

Agile technique use in the public domain is not new. Governments all throughout the globe have been adopting Agile development in recent years, particularly in light of the Pandemic, which calls for swift decision-making. Agile implementation is still challenged, meantime, by the distinctions between the public and private sectors, such as the adherence to the hierarchy of authority concept. The purpose of this work is to investigate the difficulties and provide remedies for implementing Agile project oversight in the public domain by use of a PRISMA-based systematic literature review (SLR). Four papers databases-Scopus, ACM, IEEE Explore, & Emerald Research Insight-provided the material employed in the SLR. An aggregate of 43 difficult topics were identified from the analysis of 18 appropriate publications out of 595 that were found. The answer for every problem is found using the mapping findings from the SLR articles with PMBOK 7th version Guidebook. Each of these problems is grouped according to 8 project accomplishment areas of PMBOK 7th edition. Results revealed that, with eight shortcomings apiece, the Development Approach, Lifecycle, & project-related category segments had the greatest problems. Next the team with seven problems, the stakeholder with six, the delivery with five, the measurement with four, the scheduling with three, and uncertainty with two. Academics and practitioners might find this study helpful as a reference for tackling the difficulties of introducing agile project administration in the public sphere.

Lovely Professional University (IN), Graphic Era University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 4%
Smart Systems and Machine Learning
5.23
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