Multi-Pillar Construction Supervision and Sustainability Performance Dataset (PLS-SEM)
Description
Research Hypothesis The core hypothesis of this study posits that Sustainable Construction Supervision Performance (SCSP) on building sites in rapidly urbanizing regions is heavily constrained by systemic structural bottlenecks, specifically Professional Capacity Deficiencies (PCD) and Regulatory Ambiguity (RA). Conversely, it is hypothesized that proactive Professional Competence of Supervisors and structured Stakeholder Collaboration act as vital enabling mechanisms that can directly counter these barriers and significantly improve multi-pillar sustainability compliance (Environmental, Economic, Social, and Technological) in the field. What the Data Shows & How It Was Gathered sustainable_construction_supervision_raw_data.xlsx consists of empirical field metrics captured across 150 active building construction sites in Sylhet, Bangladesh. A multi-informant survey design was utilized to collect data from 597 active field practitioners, including Site Engineers, Project Managers, Contractors, and Construction Supervisors. This structural matrix features 50 distinct variables, yielding 29,850 discrete data entries with zero missing values. The dataset evaluates performance using two primary measurement structures: 5-Point Likert Scales (1 = Strongly Disagree to 5 = Strongly Agree): Used to quantify subjective operational realities, including the four pillars of sustainability (Environmental, Economic, Social, Technological), systemic barriers, and positive enabling drivers. Binary Indicators (1 = Yes, 0 = No): Deployed to map explicit on-site technical capacities and actual digital tool utilization rates. Notable Findings The Technological Deficit: The data exposes a severe gap in digital workflows. Building Information Modeling (BIM) adoption scored an industry-wide low (Mean = 1.84, SD = 0.88). Furthermore, binary tracking reveals that while mobile site communication is widespread (71%), advanced practices like cloud-based reporting (28%) and automated safety monitoring (14%) remain largely unadopted. Primary Systemic Bottlenecks: Practitioners pointed to a Lack of Qualified Professionals (Mean = 4.18, SD = 0.63) and Ambiguous Regulatory Frameworks (Mean = 4.09, SD = 0.66) as the most critical structural constraints halting sustainable transition. Acute Skills Gaps: Binary diagnostic items show that 72% of active site supervisors completely lack formal sustainability training, 64% operate with insufficient environmental compliance knowledge, and 78% have zero technical proficiency in digital engineering tools. The Core Enablers: The Professional Competence of Supervisors (Mean = 4.42, SD = 0.54) and Collaboration Among Stakeholders (Mean = 4.26, SD = 0.61) emerged with the highest baseline agreement as the most powerful drivers for project success. Data Interpretation and Use Researchers can model the direct path coefficients β & inner relationships between organizational barriers & sustainability outcomes by mapping these 50 indicators.