Dr. Muhammad Atique holds the position of Senior Lecturer in the Department of Digital Media at Stirling College, China campus of Stirling University. Specializing in Digital Media and Culture, Digital Transformation, Digital Governance, and Technology Adoption. Dr. Atique brings over 12 years of combined expertise in both the media industry and academia. His valuable experience enriches the academic environment, providing students with insights into contemporary media trends and fostering a comprehensive understanding of digital technologies.
Recent Publications
Infrastructure and Sectoral FDI in China: an Empirical Analysis
Mehmood, F., Atique, M., Bing, W., Khan, H., & Henna, H. (2021). Infrastructure and sectoral FDI in China: an empirical analysis. Insights into Regional Development, 3(2), 160-175.
Bangladesh’s Experience with Social Media Adoption in Public Organizations
Guohua, W., Atique, M., Biswas, B., & Islam, S. (2022). Bangladesh’s Experience with Social Media Adoption in Public Organizations. International Journal of E-Adoption (IJEA), 14(1),
An Empirical Analysis of the Adoption of New Media Technologies in Public Sector Organizations
Atique, M., Khan, S., Thomas, G.
A study of impacting factors on technology adoption in the public sector of Pakistan
Atique, M., Safeer, A. A., Ullah, A., & Iftikhar, H.
Recent Post
Hidden Biases in Bytes: The Algorithmic Impact of Digital News Aggregation on Public Perceptions
From social opinions to political ideologies, biased news can facilitate or reinforce distorted ideas in the minds of the readers. Unfortunately, establishing bias isn’t solely
Digital Media and Its Overarching Influence on Our Lives
Summary: The digital revolution has a mixed bag of socio-cultural implications. We must understand its pros and cons to coexist in harmony. If you’re reading
An analysis of E-governance in Pakistan from the lens of the Chinese governance model
Atique, M., Htay, S. S., Mumtaz, M., Khan, N. U., & Altalbe, A. (2024). An analysis of E-governance in Pakistan from the lens of the
Algorithmic Bias in Digital News Aggregation
Investigate how algorithms used in news aggregation platforms may introduce bias and shape public perceptions)