Impact of Remote Work on Project Delivery for IT Firms: An Empirical Study

Thesis Abstract

The study investigates how remote work arrangements influence project delivery in information technology firms, addressing concerns about timeliness, quality, and stakeholder satisfaction amid accelerated adoption of distributed work models. The problem centers on mixed evidence regarding remote work’s impact on delivery performance, with gaps in understanding contingent effects across project types, team configurations, and organizational practices. The aim is to determine the relationships between remote work intensity, collaboration mechanisms, and project delivery outcomes, and to identify moderating factors that enhance or impede delivery performance. Specific objectives are (1) to quantify the effect of remote work intensity on project delivery timeliness and quality; (2) to examine the role of digital collaboration tools and agile practices in mediating this relationship; (3) to assess how team composition (functional mix, seniority) and management support influence delivery outcomes; (4) to explore perceived risks and mitigations from project managers and team members; and (5) to develop a framework guiding IT firms in aligning remote work with project delivery objectives. The methodology adopts a mixed-methods design, integrating a cross-sectional survey with a nested qualitative component. The population comprises software development and IT consultancy firms headquartered in North America and Europe that implemented formal remote-work policies during the past three years. A stratified random sample of 220 project teams (approximately 1,100 individuals) will be surveyed, with a response intention of at least 60% to ensure statistical power for multivariate analyses. Data collection instruments include a structured questionnaire measuring remote-work intensity (hours worked remotely, self-reported flexibility, and distributed collaboration practices), delivery outcomes (on-time completion, scope adherence, defect density, and client satisfaction), and moderating variables (tool usage, agile adoption, and managerial support). The instrument’s validity will be evaluated through content validity with expert panels and a pilot test (n=30). Reliability will be assessed using Cronbach’s alpha and composite reliability. The qualitative component comprises 20–25 in-depth interviews with project managers and lead developers to elicit nuanced perspectives on the mechanisms linking remote work to delivery, complemented by thematic analysis of interview transcripts. Data analysis proceeds in two stages. Quantitative data will be analyzed using multiple regression to estimate the direct effect of remote-work intensity on delivery timeliness and quality, controlling for firm size, project complexity, and industry sector; mediation analysis will test whether collaboration-tool effectiveness and agile practices transmit the remote-work effects; and moderator analysis will examine conditional effects of team composition and management support using interaction terms. A structural equation modeling (SEM) approach will be employed to validate the overall theoretical model and to compare nested models. Qualitative data will be analyzed using thematic analysis to identify recurring patterns regarding enablers and barriers, cross-validated against quantitative findings. The study will situate results within relevant theories, including the Technology Acceptance Model (TAM) to explain tool adoption, the Social Exchange Theory to interpret managerial support, and the Dynamic Capabilities Framework to understand organizational adaptation to remote work. Expected findings anticipate that higher remote-work intensity adversely affects delivery timeliness in environments with limited collaboration tool maturity and weak agile practices, but that robust digital collaboration ecosystems, strong managerial support, and experienced cross-functional teams mitigate negative effects and may even enhance delivery speed in certain project types. The research is expected to contribute by providing an empirically grounded framework that links remote-work configurations to delivery outcomes, identifying critical mediators and moderators, and offering practical guidelines for IT firms to optimize remote-work policies, tool investments, and team composition to sustain or improve project delivery performance. The study’s contribution to knowledge includes (1) advancing empirical understanding of remote work’s impact on IT project delivery across multiple organizational settings; (2) elucidating mechanisms through which digital collaboration and agile practices influence delivery in distributed teams; (3) integrating algebro-empirical insights with established theories (TAM, Social Exchange Theory, Dynamic Capabilities) to inform theory-building; and (4) delivering actionable recommendations for policy-makers and practitioners regarding remote-work governance, technology provisioning, and project management approaches to enhance delivery outcomes in IT services and software development. The conclusion emphasizes context-specific strategies to balance flexibility with reliability, suggesting targeted investments in collaboration tooling, training for virtual collaboration, and structured remote-management practices to sustain high-performance project delivery.