Digitization of Enterprises: Assessing the Adoption and Impact of Digital Tools in Small and Medium Enterprises in Gilgit-Baltistan

Authors

  • Haffiz_Ud_Din Department of Software Engineering, School of Computing and Emerging Technologies, Karakoram International University Gilgit-Baltistan, Pakistan Author https://orcid.org/0009-0005-3377-8454

DOI:

https://doi.org/10.57041/q8bggn84

Keywords:

Small and medium enterprises, digitalization, statistical analysis, machine learning

Abstract

This study investigates the adoption and impact of digital tools among Small and Medium Enterprises (SMEs) in the remote region of Gilgit-Baltistan, Pakistan, with a specific focus on gender differentials. Employing a mixed-methods research design, the study analyzes data from 55 SMEs through quantitative surveys and in-depth qualitative interviews. The findings reveal a "mobile-first" digital landscape where social media and communication apps (e.g., WhatsApp, Instagram) are the dominant business tools, while adoption of advanced systems like ERP remains low. Statistical analysis demonstrates a strong, positive relationship between digital adoption and business performance, with regression results indicating that digital maturity is a significant predictor of revenue growth (R2 = 0.658). However, the qualitative analysis identifies severe infrastructural deficits—specifically unreliable internet connectivity—as the primary barrier to scalability. Furthermore, the study highlights a distinct gender divide: while female entrepreneurs face greater structural constraints regarding training and finance, they are successfully leveraging social commerce to bypass traditional mobility restrictions and access wider markets. The research concludes that while digitalization is a potent driver of economic resilience in Gilgit-Baltistan, unlocking its full potential requires targeted policy interventions in physical infrastructure and gender-inclusive digital literacy programs.

Author Biography

  • Haffiz_Ud_Din, Department of Software Engineering, School of Computing and Emerging Technologies, Karakoram International University Gilgit-Baltistan, Pakistan

    I’m an AI/DS practitioner committed to building trustworthy, end-to-end machine learning systems that create real-world impact. My focus is on clear problem framing, careful data curation, robust modeling, and rigorous evaluation—paired with reproducibility, ethics, and continuous learning.

    Areas I’m passionate about include medical AI and clinical decision support, perception and tracking for autonomous systems, multimodal learning with geospatial context, and scientific ML such as protein classification. I also enjoy applying ML to systems analytics and performance modeling. Beyond building models, I value mentoring, collaborative research, and communicating results with clarity.

    I’m motivated by meaningful problems, disciplined execution, and steady improvement. Open to collaborations and roles where rigorous ML, careful experimentation, and responsible deployment are core values.

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Published

2026-06-30

How to Cite

Digitization of Enterprises: Assessing the Adoption and Impact of Digital Tools in Small and Medium Enterprises in Gilgit-Baltistan. (2026). Journal of Artificial Intelligence and Computing, 4(1), 28-35. https://doi.org/10.57041/q8bggn84

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