تقييم إمكانيات دمج نمذجة معلومات البناء )BIM)، إنترنت األشياء )IoT)، والذكاء االصطناعي )AI )مع نظام التوصيل المتكامل )IPD )لتعزيز االلتزام بالجداول الزمنية في قطاع البناء الليبي

Abstract

The Libyan construction sector faces chronic challenges, including
schedule delays, cost overruns, and inefficiencies stemming from political instability and
limited technology adoption. This study assesses the potential of integrating Building
Information Modeling (BIM), Internet of Things (IoT), and Artificial Intelligence (AI) with
Integrated Project Delivery (IPD) to enhance schedule compliance. Employing a quantitative
approach, a structured survey was distributed to 150 construction professionals in Libya,
yielding 120 valid responses (80% response rate). Data analysis was conducted using
SPSS, incorporating descriptive statistics and multiple linear regression. Results indicate
high familiarity with BIM (67.5% familiar or very familiar), but lower for AI (47.5% unfamiliar
or slightly familiar) and IPD (40.8%). Perceived impact on schedule compliance was
positive, with BIM rated highest (77.5% high or very high impact). Key barriers include high
implementation costs (92.5%) and skill shortages (84.1%). Regression analysis revealed a
significant negative relationship between knowledge level and perceived impact (β = -0.374,
p < 0.001), suggesting that more knowledgeable professionals adopt a more realistic view of
contextual challenges. The study recommends training programs, government incentives,
and phased adoption to foster digital transformation, contributing to the sector's recovery in
Libya.