Exploring the Effectiveness of AI in Project Risk and Overall Return Management; How Project Managers Can Facilitate the Changes

The study has investigated the process of operational returns by understanding the stakeholders’ role and the collaborative efforts of the project managers to explore AI-driven solutions in an actionable form. The study aims to review the effectiveness of AI in project risk and overall return management. The study's purpose is to analyse how project managers can facilitate the changes. PLS Smart software has been used with a set of 100 samples. The data has been investigated in the positivism support. It has been found that all 11 hypotheses are proved as positive because the data narrates practical implementation in the outline of justification. The study concludes by recommending the project managers about the application of AI implementation in the handling of projects and make sure that data has been facilitated in the paradigm of working efficiency to increase the overall returns.

Authors

Institutions

Publication Details

Journal
Journal for social science archives
Published
2025-03-06
DOI
https://doi.org/10.59075/jssa.v3i1.183
Primary Topic
Construction Project Management and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the Effectiveness of AI in Project Risk and Overall Return Management; How Project Managers Can Facilitate the Changes

Rashid Khan, Sohaib Uz Zaman
Journal for social science archives
Construction Project Management and Performance
article

Exploring the Effectiveness of AI in Project Risk and Overall Return Management; How Project Managers Can Facilitate the Changes

Rashid Khan, Sohaib Uz Zaman
article en

Abstract

The study has investigated the process of operational returns by understanding the stakeholders’ role and the collaborative efforts of the project managers to explore AI-driven solutions in an actionable form. The study aims to review the effectiveness of AI in project risk and overall return management. The study's purpose is to analyse how project managers can facilitate the changes. PLS Smart software has been used with a set of 100 samples. The data has been investigated in the positivism support. It has been found that all 11 hypotheses are proved as positive because the data narrates practical implementation in the outline of justification. The study concludes by recommending the project managers about the application of AI implementation in the handling of projects and make sure that data has been facilitated in the paradigm of working efficiency to increase the overall returns.

Journal for social science archivesVol. 3(1)
University of Karachi (PK)
Openalex Percentile: Top 96%
Construction Project Management and Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Exploring the Effectiveness of AI in Project Risk and Overall Return Management; How Project Managers Can Facilitate the Changes — Rashid Khan, Sohaib Uz Zaman · Journal for social science archives (2025) | TGRS Research Map | TGRS