Sujeet Kumar Sharma
Sultan Qaboos University, Birla Institute of Technology, International Centre, CCS University, Indian Institute of Technology
About
Dr. Sujeet Kumar Sharma, Assistant Professor in the Department of Operations Management and Business Statistics since 2011. His teaching interests include the areas of Business Statistics, Structural Equation Modeling, Computer Software for Business Statistics (SPSS), Multivariate Data Analysis, Forecasting Models, and Data mining in Business Decisions. He has published in a number of internationally refereed journals including Computers in Human Behavior (Elsevier), Measurement (Elsevier), European Journal of Sports Sciences (Taylor & Francis), Management Research Review (Emerald), Journal of Modelling in Management (Emerald), Journal of Indian Business Research (Emerald), Journal of Enterprise Information Management (Emerald), TGPPP (Emerald), Education, Business and Society (Emerald), International Journal of Performance Analysis in Sport (Cardiff University, U.K.), Lecture Notes on Computer Science: World Congress of Engineering and Computer Science (USA) and others. Dr. Sharma received University Award for Excellence in Research, 2014 and Best Teacher Award in 2015. He is also an active reviewer in a number of international journals. Dr. Sharma has authored a book on “Computer Based Numerical and Statistical Techniques” for undergraduate students.
Employment
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Sultan Qaboos University Assistant Professor2011 - Present
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Birla Institute of Technology, International Centre2009 - 2011
Education
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CCS University Ph.D.2004 - 2008
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Indian Institute of Technology M.Sc.1996 - 1998
Projects & Funding
Projects & funding information is unavailable.
Publications (17)
- A multi-analytical approach to understand and predict the mobile commerce adoption Save
- A multi-analytical approach to predict the Facebook usage in higher education Save
- Adoption of e-government services: The role of service quality dimensions and demographic variables Save
- Development of quantitative model to investigate the strategic relationship between information quality and e-government benefits Save
- Differences in intention to use educational RSS feeds between lebanese and British students: A multi-group analysis based on the technology acceptance model Save
- Predicting determinants of internet banking adoption: A two-staged regression-neural network approach Save
- Understanding E-shopping usage behavior among college students Save
- Understanding and predicting the quality determinants of e-government services: A two-staged regression-neural network model Save
- Achieving business success through information and communication technologies adoption by small and medium enterprises in Oman Save
- The effect of heterogeneous demographics on the quality determinants of e-government services Save