Skip to content
#diffusion models Open access

INTEGRATED PROJECT-PROCESS ARCHITECTURE FOR MANAGING CONSTRUCTION ENTERPRISES UNDER CONDITIONS OF DIGITAL TRANSFORMATION

Sep 2026 · Business Navigator · 0 citations

TL;DR

The author formulates practical recommendations for constructing an integrated management system capable of ensuring transparency of managerial decisions, reduction of cross-functional gaps, improved predictability of project outcomes, and sustainable competitive advantages of construction enterprises operating in conditions of dynamic and uncertain business environments.

Abstract

The article substantiates the theoretical and methodological foundations for forming an integrated project-process architecture for managing construction enterprises under conditions of digital transformation. The relevance of the topic is determined by the dual nature of construction activity, which simultaneously combines the implementation of unique, non-repetitive investment-construction projects and the execution of stable, cyclically repeated business processes such as procurement, quality assurance, occupational safety, document management and resource provisioning. The paper argues that digital transformation, in particular the diffusion of Building Information Modeling, common data environments, enterprise resource planning systems, project management information systems and business process management systems, creates the technological precondition for overcoming this fragmentation and for building a genuinely integrated managerial architecture. A level-based conceptual model of project-process integration is proposed, encompassing strategic, tactical, operational and control levels of management, each of which combines project-oriented and process-oriented components synchronized through a cross-cutting digital integration layer. The architecture’s structural elements, its governing principles, and the mechanisms of coordinated interaction between the project and process contours are characterized in detail, including data exchange loops, single sources of truth, role-based process ownership, and integrated key performance indicators. The article also outlines the organizational, technological and human-resource barriers that hinder digital-enabled integration in Ukrainian construction enterprises, including insufficient digital maturity, fragmented information systems, and weak regulatory support for BIM implementation. Based on the conducted analysis, the author formulates practical recommendations for constructing an integrated management system capable of ensuring transparency of managerial decisions, reduction of cross-functional gaps, improved predictability of project outcomes, and sustainable competitive advantages of construction enterprises operating in conditions of dynamic and uncertain business environments.

Read PDF

Similar papers

#computer vision Open access Jun 2016

Software Development in Startup Companies: The Greenfield Startup Model

The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.

Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al. · 178 citations · ⚡14
#computer vision Open access Oct 2016

Software Startups - A Research Agenda

Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.

M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al. · 157 citations · ⚡17
#machine learning Review Open access Oct 2016

“Failures” to be celebrated: an analysis of major pivots of software startups

This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.

Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al. · 127 citations · ⚡15
#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Conference Sep 2010

Exploring the Sources of Waste in Kanban Software Development Projects

The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new an...

Marko Ikonen, Petri Kettunen, Nilay V. Oza et al. · 67 citations · ⚡9

Related blog posts

Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.