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Dr Gohar Khan

Gohar Khan

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

Qualifications: PhD

Personal Website: https://gfkhan.wordpress.com/

About Gohar

Khan 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. Khan’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.

Khan’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. Khan has also authored and co-author 4 books on social media analytics and social media use. For example, his Amazon’s top-selling book titled, "Seven Layers of Social Media Analytics" provides one of the first comprehensive framework to understand and mine business insights from social media data.

In addition to his research and teaching, Khan 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, Khan 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

Khan 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. (2018). Creating value with social media analytics: Managing, aligning, and mining social media text, networks, actions, location, apps, hyperlinks, multimedia, and search engines data. Createspace Independent Publishing Platform.

  • Sponder, M., & Khan, G. F. (2018). Digital Analytics for Marketing. Routledge.

  • Fritze, M., Urmetzer, F., Khan, G., Sarstedt, M., Neely, A., & Schafers, T. (2018). From goods to services consumption: A social network analysis on sharing economy and servitization research. Journal of Service Management Research, 2(3), 3-16. doi:10.15358/2511-8676-2018-3-3

  • Khan, G., & Triers, M. (2018). Assessing the long-term fragmentation of information systems research with a longitudinal multi-network analysis. European Journal of Information Systems, online, 25 pages. doi:10.1080/0960085X.2018.1547853

Find more research publications by Gohar Khan

Keywords

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

Email: gohar.khan@waikato.ac.nz
Room: MSB.2.32D
Phone: +64 7 838 4233