Dr Gohar F. Khan
Senior Lecturer in Digital Business
Undergraduate and Graduate Convenor for Digital Business
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
Personal Website: https://gfkhan.wordpress.com/
Contact DetailsEmail: email@example.com
Phone: +64 7 838 4233
Gohar is a computational social scientist with expertise in digital business, digital analytics, digital business strategy, and network science. He specializes in both quantitative and qualitative research methods. His main research is focused on the link between data analytics and competitive advantage and how businesses create value with social media data. His other research interests include self-governing things, network science, and technology use behavior. Gohar's research is practically relevant and yet academically 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 45 articles in peer-reviewed journals, conference proceedings, and book chapters. His research, for example, has appeared in several A* journals including the 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 5 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, 2020), and the 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.
Gohar welcomes graduate and doctoral inquiries from prospective students related to the areas of his expertise and research interests.
-Mona Ghaffari: an investigation into network effect in music listening behavior.
-Rebecca Ali: Understanding how boredom affects impulse buying in creating happiness or regret in the context of social media.
-Jannat Maqbool: Financial institutions and FinTech – the question of collaboration (2019-2020).
-Danishe Chopra, Impact of Service Quality on social commerce-An Indian perspective (2020)
-Ao Lyu: Remote Sensing Technology Adoption In The Nanfan Scientific And Research Breeding Base (China) (2019)
-Kangning Cai: Trust on Social Commerce in the Wake of Cambridge Analytica Scandal (2019)
-Omar Issa: The Influence of Media Richness and The Rationale of a Facebook Post on Electronic Word of Mouth (EWOM) (2018).
-Brendon Ranum: Assess the impact of the Internet of Things (IoT) on small service companies in the Waipa region (2017)
Adoption and use of self-governing things
Digital Business Management
Social Media Analytics (theories, models, use, and application in business)
Quantitative and Qualitative methods
Khan, G., Mohaisen, M., & Trier, M. (2020). The network ROI: Concept, metrics, and measurement of social media returns (a Facebook experiment). Internet Research, 30(2), 631-652. doi:10.1108/intr-07-2018-0346
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). In search of the true worth of a 'like': A network externality approach. In INFORMS Annual Meeting 2019. Seattle, USA.
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
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