Dr Gohar Khan

Gohar Khan

Senior Lecturer in Digital Business
Undergraduate and Graduate Convenor for Digital Business

Qualifications: PhD

Personal Website:

About Gohar

Dr. Gohar is a computational social scientist with expertise in social media analytics, social network analysis, network data visualization, social media strategy, and network science. He specializes in both quantitative and qualitative research methods. His main research is focused on the link between social media use and competitive advantage and how businesses create value with social media data. His other research interests include network science, technology adoption, and user behavior, Government 2.0. Gohar's research is practically relevant and yet academic rigorous. Practical findings from my research, for instance, were used to develop United Nation's APC-ICT (a regional arm of UN that promote ICTs in developing countries) guidelines for social media use in the public sector.

Gohar's research performance has been exceptional. Since his Ph.D. in 2011, he has published over 40 articles in peer-reviewed journals, conference proceedings, and book chapters. His research, for example, has appeared in several A* journals including Journal of Association for Information Systems, Journal of the American Society for Information Science and Technology, and Scientometrics, among others. Gohar has also authored and co-author 4 books on social media analytics and social media use. For example, his Amazon’s top-selling books "Seven Layers of Social Media Analytics" and "Creating Value with Social Media Analytics" provide one of the first comprehensive frameworks to understand and mine business insights from social media data.

In addition to his research and teaching, Gohar actively engaged with academic and professional bodies. For instance, he has served as track co-chair for The Pacific Asia Conference on Information Systems (PACIS 2016) Track: Social Media Analytics; and PACIS 2018 Track: Social Media Analytics & Business Impact. He was also a PC member for PCIS 2017, the Australasian Conference on Information Systems (ACIS, 2017), and International Conference on Information Systems (ICIS 2016). On several occasions, Gohar has also served as a social media consultant for United Nations APC-ICT. He also frequently speaks at international conferences and has given several invited talks in different locations including in South Korea, China, Indonesia, and Bhutan.

Papers Taught

Research Supervised

Gohar welcomes graduate and doctoral inquiries from prospective students related to the areas of his expertise and research interests.

Research Interests

Digital Business Management
Social Media Analytics (theories, models, use, and application in business)
Network Science
Technology Adoption and Use
Government 2.0/e-Government
Quantitative and Qualitative methods

Recent Publications

  • Khan, G. F., Sarstedt, M., Shiau, W. L., Hair, J. F., Ringle, C. M., & Fritze, M. P. (2019). Methodological research on partial least squares structural equation modeling (PLS-SEM): An analysis based on social network approaches. Internet Research, 29(3), 407-429. doi:10.1108/IntR-12-2017-0509

  • Khan, G., & Triers, M. (2019). Assessing the long-term fragmentation of information systems research with a longitudinal multi-network analysis. European Journal of Information Systems, 28(4), 370-393. doi:10.1080/0960085X.2018.1547853

  • Khan, G., Mohaisen, M., & Trier, M. (2019). The network ROI: Concept, metrics, and measurement of social media returns (a Facebook experiment). Internet Research, online, 22 pages. doi:10.1108/intr-07-2018-0346

  • Khan, G., Mohaisen, M., & Trier, M. (2019). In search of the true worth of a 'like': A network externality approach. INFORMS Annual Meeting 2019.

Find more research publications by Gohar Khan


Data mining; Social Networks; Social Science Research; Technology

Digital Business Management; Social Media Analytics; Network Science; Technology Adoption and Use; Government 2.0; Quantitative and Qualitative methods

Contact Details

Room: MSB.2.32D
Phone: +64 7 838 4233