Artificial Intelligence Adoption, Digital Infrastructure, and Business Productivity: A Cross-Country Empirical Analysis Using Secondary Data

Authors

  • Mhel Cedric D. Bendo College of Business Administration, Polytechnic University of the Philippines, Maragondon Campus, Cavite, Philippines,
  • Domar C. Alviar Arts and Languages Department, College of Education, Arts, and Sciences, National University, Manila, Philippines,
  • Ma. Victoria Ulgado-Rosas Graduate School of Business, Colegio de San Juan de Letran, Manila, Philippines,
  • Avillardo V. Clarin College of Business and Accountancy, National University, Manila, Philippines
  • Lucky S. Carpio Florentino Cayco Memorial School of Graduate Studies, Florentino Cayco Memorial School of Graduate Studies, Arellano University, Manila, Philippines,
  • Ariel M. Gomez Architectural Engineering Department, United Arab Emirates University, Maqam Campus, Al Ain, UAE.

DOI:

https://doi.org/10.32479/irmm.24231

Keywords:

Artificial Intelligence Adoption; Digital Infrastructure; Business Productivity; Technological Readiness; Cross-Country Analysis; Digital Economy

Abstract

Artificial intelligence (AI) has emerged as a transformative technology reshaping business operations and economic productivity across industries and countries. As organizations increasingly integrate AI-driven systems into operational processes, understanding the relationship between AI adoption and productivity outcomes has become a critical research concern. This study employs a cross-country quantitative secondary data analysis using harmonized datasets from the OECD Artificial Intelligence Policy Observatory, the Stanford Artificial Intelligence Index, the World Bank World Development Indicators, and the McKinsey & Company. The sample includes five economies representing varying levels of digital development. Descriptive statistics, correlation analysis, and multivariate regression modeling are applied to examine relationships among AI adoption, digital infrastructure, and business productivity. Findings reveal a positive and statistically significant effect of AI adoption on productivity, with digital infrastructure strengthening this relationship. Industries characterized by higher data intensity demonstrate greater AI adoption rates. The findings contribute a structured cross-country empirical framework linking artificial intelligence adoption, digital infrastructure, and productivity performance across developed and emerging economies. The results emphasize the importance of technological readiness, innovation ecosystems, and data-driven capabilities in supporting productivity growth within digitally transforming economies. The findings provide insights for policymakers, leaders, and digital transformation strategists seeking to strengthen economic competitiveness.

Author Biographies

Mhel Cedric D. Bendo, College of Business Administration, Polytechnic University of the Philippines, Maragondon Campus, Cavite, Philippines,

Mhel Cedric D. Bendo is a student researcher and writer pursuing a Bachelor of Science in Entrepreneurship at Polytechnic University of the Philippines–Maragondon Campus. His research focuses on entrepreneurship, digital transformation, financial technology (FinTech), AI-mediated learning environments, educational psychology, psychometrics, and educational assessment. He serves on the editorial boards of the SIAR-Global Journal of Humanities, Management & Educational Review, SIAR-Global Journal of Literatures & Educational Review, the International Journal of Multidisciplinary Research and Exploration (IJMRE), and the International Journal of Advanced Multidisciplinary Application (IJAMA), and also works as a technical editor for an international academic journal. He is a reviewer for multiple international peer-reviewed journals, including the Journal of Economics Education and Entrepreneurship (JEE), the International Journal of Management and Human Sciences (IJMHS), and Cogent Education (Taylor & Francis). He has authored studies published and forthcoming in international and Scopus-indexed journals. Beyond academic research, he also produces research-informed commentary, essays, and poetry engaging with themes of education, media literacy, public discourse, and social development. His writings have appeared in regional and national Philippine newspapers and publications, including Punto! Central Luzon, Daily Guardian, Mindanao Times, SunStar Cebu, BusinessMirror, Manila Bulletin, Young Blood under the Philippine Daily Inquirer, and the Philippine Daily Inquirer.          

Domar C. Alviar, Arts and Languages Department, College of Education, Arts, and Sciences, National University, Manila, Philippines,

Dr. Domar C. Alviar has taught economics, governance, and ethics at National University (NU) Manila. He later served as adjunct faculty in two departments under the NU College of Education, Arts, and Sciences and was recognized with the Gawad Pantas honors for his contributions to academia. He earned his Bachelor of Arts in Economics from Adamson University and completed his doctoral studies under the CHED-SIKAP grant program at the University of the Philippines Open University (UPOU) in Los Baños, Laguna. His dissertation examined the Maharlika Investment Fund through the lens of information and communication studies. He is a member of the Steering Committee of the Philippine International Studies Organization (PHISO). Prior to his academic career, he worked in customs relations and international supply management across the Middle East and North Africa region. A regular columnist, his “Inside Academe” column is published by Tutubi.ph, and he also contributes opinion and analysis pieces to the Philippine Daily Inquirer and other publications.  

Ma. Victoria Ulgado-Rosas, Graduate School of Business, Colegio de San Juan de Letran, Manila, Philippines,

Maria Victoria Ulgado-Rosas, PhD, DBE, CMC, LPT, RBE, FriEcon, is an experienced educator and academic leader with over 40 years in teaching, research, and administration in business education. She earned her BA and MA in Economics with honors and her PhD in Management magna cum laude. Throughout her career, she has held key leadership roles, including Dean, Registrar and Vice President for Academic Affairs and Research. A Licensed Professional Teacher and Certified Management Consultant, she has presented and published research locally and internationally. She has received numerous awards, including the Agora Award for Marketing Education and Presidential Leadership Awards from PCDEB, and has served as President of the Philippine Council of Deans and Educators in Business. Known for her dedication to academic excellence, she continues to inspire students and colleagues through her passion for teaching and leadership.

Avillardo V. Clarin, College of Business and Accountancy, National University, Manila, Philippines

Avillardo V. Clarin is a licensed Real Estate Broker and Appraiser with 19 years of combined experience in academia, financial services, mortgage banking, and compliance. Currently serving as an Assistant Professor with over a decade of teaching experience in finance and business-related disciplines, including financial management, banking, investments, and real estate. Has held academic leadership roles as Program Chair, Program Coordinator, and Community Extension Coordinator, contributing to curriculum enhancement, accreditation initiatives, and student engagement. Professional expertise includes loan processing, AML compliance, credit evaluation, and mortgage documentation from experience in local and international financial institutions. Holds a Master in Business Administration major in Corporate Finance and a Master in Management major in Environmental Planning. Also authored and co-authored research papers published in Scopus-indexed journals and academic conferences.

Lucky S. Carpio, Florentino Cayco Memorial School of Graduate Studies, Florentino Cayco Memorial School of Graduate Studies, Arellano University, Manila, Philippines,

Lucky S. Carpio is a distinguished educator and academic leader with extensive experience in graduate education, curriculum development, and quality assurance. He has served as a Graduate School Professor at Emilio Aguinaldo College, Arellano University, and Adamson University. Currently, he is an Education Program Supervisor handling the Learning Resource Management Development Section at the Schools Division Office–Manila. He is also an Honorary Member of the International English Language Teachers Association - Philippines. In 2023, he received the Most Outstanding Alumni Award in Education from Adamson University. Also, he was awarded Outstanding Education Program Supervisor in 2025. He previously served as an Elementary Academic Coordinator, Principal, and Quality Assurance Director. He is affiliated with the Florentino Cayco Memorial School of Graduate Studies, Arellano University.

Ariel M. Gomez, Architectural Engineering Department, United Arab Emirates University, Maqam Campus, Al Ain, UAE.

Ariel M. Gomez is an instructor in the Architectural Engineering Department of the College of Engineering at United Arab Emirates University, Maqam Campus, Al Ain City, UAE, where he teaches Building Electrical Science and Design with Renewable Energy since 2011. He earned his PhD in Technology Management from Cebu Technological University, Doctor of Technology (36 units earned) from Technological University of the Philippines–Manila, Master of Engineering in Electrical Engineering from the University of Santo Tomas–Manila, and BS Electrical Engineering from Technological Institute of the Philippines–Manila. He is a Registered Electrical Engineer, NABCEP P.V. Associate, and Building Electrical System Designer/Consultant with certifications in renewable energy and solar PV systems. His previous roles include EE Department Head at Adamson University, lecturer in Oman, Senior Member of IIEE, and member of the 2009 Philippine Electrical Code Part 1.

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Published

2026-09-04

How to Cite

Bendo, M. C. D., Alviar, D. C., Ulgado-Rosas, M. V., Clarin, A. V., Carpio, L. S., & Gomez, A. M. (2026). Artificial Intelligence Adoption, Digital Infrastructure, and Business Productivity: A Cross-Country Empirical Analysis Using Secondary Data. International Review of Management and Marketing, 16(6), 292–302. https://doi.org/10.32479/irmm.24231

Issue

Vol. 16 No. 6 (2026)

Section

Articles

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Copyright (c) 2026 International Review of Management and Marketing

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