Article credentials

Original Research

Readiness Assessment in Adopting Digital Inventory Technology: Basis for an Implementation Plan of Modular Casework Delivery in High-Rise Condominium Projects in Metro Manila

Technologique: A Global Journal on Technological Developments and Scientific Innovations

ISSN Online: 3028-1415 | Print: 3028-1407

Volume 7 | Issue 1 | 2026 | 67 – 87

Engr. Angelito N. Sangcap III, ORCID No. 0009-0004-2109-3012

1Master of Science in Construction Management, Polytechnic University of the Philippines, Sta. Mesa, Manila, Philippines

Article History:

Initial submission: 11 February 2026
First decision: 13 February 2026
Revision received: 08 March 2026
Accepted for publication: 10 March 2026
Online release: 13 March 2026

Quick links

Ready to submit? Click the button below.

Need more help before you submit?

Abstract

Efficient material management is critical in high-rise condominium projects, particularly in modular casework delivery where bulk shipments, limited staging areas, and manual inventory practices often result in inaccuracies, delays, and wasted resources. Casanuova Inc., a Metro Manila–based construction firm, faces these challenges and requires a practical digital solution. This study employed a descriptive–correlational design to assess material management challenges and employee readiness to adopt QR code–based digital inventory systems. A near-census approach was used, with 40 respondents representing site engineers, warehouse staff, installers, and project managers. Data were gathered through a structured survey grounded in the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT), measuring constructs such as perceived usefulness, ease of use, social influence, and facilitating conditions. Findings revealed systemic material management issues, particularly in inventory accuracy, traceability, and manpower utilization. Employees demonstrated high readiness and acceptance of QR technology, with perceived usefulness and ease of use emerging as the strongest predictors of adoption. However, moderate scores for social influence and lower ratings for facilitating conditions highlighted organizational gaps requiring managerial reinforcement and structured training. A statistically significant relationship was found between readiness levels and perceived improvements in material management outcomes. The study confirms that QR code–based systems provide a cost-effective, mobile, and context-sensitive solution for modular casework delivery. The proposed phased implementation plan, which was validated by experts, emphasizes preparatory training, pilot testing, and continuous monitoring to ensure successful adoption. By integrating TAM and UTAUT insights with supply chain frameworks, the study offers Casanuova Inc. a practical pathway to enhance accuracy, accountability, and efficiency in high-rise construction projects

Keywords: construction material management, QR codes, modular casework, Technology Acceptance Model, UTAUT, supply chain performance, digital inventory systems

Cite this article

APA (7th edition)

Sangcap, A. N. III. (2026). Readiness assessment in adopting digital inventory technology: Basis for an implementation plan of modular casework delivery in high-rise condominium projects in Metro Manila. Technologique: A Global Journal on Technological Developments and Scientific Innovations, 7(1), 67–87. https://doi.org/10.62718/vmca.tech-gjtdsi.7.1.SC-0226-028.

Author contributions

– (Not applicable).

Funding

This research received no external funding.

Conflict of interest

The author declares no conflict of interest.

Institutional ethics review statement

Ethical approval was obtained from the Polytechnic University of the Philippines Research Ethics Office with ethics code: 2025-50-OUSREC-Form-3-Sangcap MSCM.

Data availability statement

Due to ethical restrictions, the data are not publicly available but may be obtained from the corresponding author upon reasonable request.

Declaration of generative AI use/assistance

AI-assisted language editing was performed using Copilot; authors reviewed and approved all content.

Acknowledgement

– (Not available).

Publisher’s disclaimer

The views expressed in this article are those of the authors and do not necessarily reflect the views of the publisher. The publisher disclaims any responsibility for errors or omissions.

×

Cart