My research examines how printing technology, digital workflows, and industry structures are changing in response to technological transition, automation, and evolving production practices. The work connects technical workflow studies with broader industry and educational developments within the printing sector, particularly in Malaysia.
The research generally develops along four related lines.
This research area examines how artificial intelligence is being introduced into printing and related manufacturing environments. The work investigates reported industrial applications, operational benefits, and the structural challenges that influence adoption.
A systematic review of the literature identifies AI applications across production planning, quality management, predictive maintenance, and supply-chain functions. The studies also highlight practical constraints that slow adoption, including limited data availability, integration difficulties with existing production systems, and the need for clearer evaluation frameworks.
Related work extends the discussion to manufacturing more broadly, proposing conceptual models describing how organizational readiness, technological capability, and strategic alignment influence AI adoption decisions.
Masod, M. Y., & Zakaria, S. F. (2024).
Artificial Intelligence in the Printing Industry: A Systematic Review of Industrial Applications, Challenges and Benefits.
International Journal of Research and Innovation in Social Science.
https://doi.org/10.47772/IJRISS.2024.8090141
Masod, M. Y., & Zakaria, S. F. (2024).
Artificial Intelligence Adoption in the Manufacturing Sector: Challenges and Strategic Framework.
International Journal of Research and Innovation in Social Science.
https://doi.org/10.47772/IJRISS.2024.81000013
This line of research focuses on reliability and control within digital print production workflows, particularly in prepress processes and proofing systems.
The studies examine workflow conformity, standards compliance, and verification procedures that influence print accuracy and production stability. Several works investigate PDF/X-based production workflows and propose improvements to ensure output consistency across prepress and printing stages.
These studies identify recurring workflow issues such as configuration inconsistencies, improper PDF preparation, and gaps in verification procedures. Additional work proposes quality-managed proofing approaches that strengthen verification processes before final print production.
Masod, M. Y., Zainuddin, A. A., & Azim, I. N. A. (2023).
An Approach to Quality-Managed Proofing.
IEEE Symposium on Computer Applications & Industrial Electronics.
https://doi.org/10.1109/ISCAIE57739.2023.10165452
Masod, M. Y., & Zainuddin, A. A. (2022).
Procedure Enhancement for PDF Output Workflow Conformity.
IEEE Symposium on Computer Applications & Industrial Electronics.
https://doi.org/10.1109/ISCAIE54458.2022.9794464
Masod, M. Y., Hassan Nazri, N. S., & Nordin, N. (2021). PDF Output Workflow Conformance Test to the PDF/X-4 Standard (ISO 15930-7:2010). IEEE 9th Conference on Systems, Process and Control (ICSPC 2021), . https://doi.org/10.1109/ICSPC53359.2021.9689185.
Masod, M. Y., Ahmad, R., & Mohamad, M. (2015).
A Survey of Offset Lithography Print Defects.
https://doi.org/10.1007/978-981-287-530-3_50
This research area investigates the physical and visual characteristics of printed materials, including surface quality, defect formation, and the aesthetic properties of printed products.
The studies explore how different printing technologies and production conditions influence final print appearance. Work in this area includes documentation of common print defects in offset lithography, microscopic examination of printed outputs, and investigations of special printing effects used to enhance visual presentation.
Together, these studies contribute to understanding how production variables and printing technologies influence both functional and visual print outcomes.
Masod, M. Y., Ahmad, R., & Mohamad, M. (2015).
A Survey of Offset Lithography Print Defects.
https://doi.org/10.1007/978-981-287-530-3_50
Masod, M. Y., Mohamad, M., Kamaruzaman, M. F., & Anwar, R. (2015).
Enhancing the Appearance of Printed Products Using Special Effects.
https://doi.org/10.1007/978-981-287-530-3_56
Masod, M. Y., Mohamad, M., & Yahya, M. F. Z. R. (2015).
Microscopic Image and Text Examination of Conventional and Digital Printouts.
https://doi.org/10.1007/978-981-287-332-3_4.
Another strand of research examines the printing industry from organizational, educational, and workforce perspectives. This work considers how technological change influences professional skills, training pathways, and industry–education relationships.
Studies in this area investigate workforce competency requirements in digital prepress production and analyze how industry training structures contribute to skill formation. Recent work explores the role of internships as organizational strategies through which knowledge transfer, professional identity formation, and talent development occur within the Malaysian printing sector.
Other research examines the role of online learning platforms such as YouTube in supporting printing technology education, identifying both opportunities and limitations for informal technical learning.
Masod, M. Y. (2026).
Internship as Organizational Strategies: Talent, Tacit Knowledge and Identity Work in Malaysia’s Printing Industry.
Quantum Journal of Social Sciences and Humanities.
https://doi.org/10.55197/qjssh.v6i6.891
Yusuf, M., Masod, M., Zainuddin, A. A., Azim, I. N. A., & Nordin, N. (2023).
Printing Technology Courses on YouTube: Exploring the Opportunities and Barriers of Online Learning.
https://doi.org/10.1109/ICEED59801.2023.10264044
Masod, M. Y., Mohamad, M., & Azim, I. N. A. (2015).
Digital Inkjet Printing for Fine Art Painting Reproduction.
http://doi.org/10.1007/978-981-287-530-3_37
Masod, M. Y., Ahmad, R., Shafia, J., & Abdullah, H. (2012).
Identifying Key Digital Prepress Competence Requirements for Printing Technology Workforce.
http://doi.org/10.1109/ISBEIA.2012.6422995