Research Student Profiles

Mr SHUJAHAT, Muhammad

Human Communication, Development, and Information Sciences

Programme of Study: PhD

Field of Study: Knowledge Management

Email Address: shujahat@connect.hku.hk

Office: Room 401, Runme Shaw Building


About Me:
Muhammad Shujahat is a Ph.D. student affiliated with the Knowledge Management & E-Learning Lab, Faculty of Education, The University of Hong Kong. His educational background lies in the business and management with special reference to knowledge management. The central theme of his research studies is to explore whether and how knowledge management can be used to solve the strategic challenges, such as knowledge-worker productivity, ambidexterity and organizational innovation performance. Additionally, he is investigating e-learning issues with his supervisor. He holds a good command over data analysis and results reporting in the SmartPLS data analysis software. He has won several fully funded scholarships on all levels, from the school to the university. During leisure time, chitchatting with friends, running, walking and reading are his favorites.


Current Research:
E-learning acceptance;
Intellectual capital and organizational ambidexterity;
Knowledge management;
Knowledge risk management


Primary Supervisor: Professor WANG, Minhong

Co-supervisor(s): Prof Q Zhu


Research Outputs:
Shujahat, M., Hussain, S., Javed, S., Malik, M. I., Thurasamy, R., & Ali, J. (2017). Strategic management model with lens of knowledge management and competitive intelligence: A review approach. VINE Journal of Information and Knowledge Management Systems, 47(1), 55-93.

Hussain, S., Shujahat, M., Malik, M. I., Iqbal, S., & Mir, F. N. (2018). Contradictory results on the mediating roles of two dimensions of trust between transformational leadership and employee outcomes. Journal of Organizational Effectiveness: People and Performance, 5(1), 39-63.

Islam, S., Malik, M. I., Hussain, S., Thursamy, R., Shujahat, M., & Sajjad, M. (2018). Motives of excessive Internet use and its impact on the academic performance of business students in Pakistan. Journal of Substance Use, 23(1), 103-111.

Shujahat, M., Sousa, M. J., Hussain, S., Nawaz, F., Wang, M., & Umer, M. (2019). Translating the impact of knowledge management processes into knowledge-based innovation: The neglected and mediating role of knowledge-worker productivity. Journal of Business Research, 94, 442-450.

Butt, M. A., Faisal, N., Hussain, S., Sousa, M. J., Wang, M., Sumbal, M. S., & Shujahat, M. (2019). Individual knowledge management engagement, knowledge-worker productivity, and innovation performance in knowledge-based organizations: the implications for knowledge processes and knowledge-based systems. Computational and Mathematical Organization Theory, 25(3), 336-356. DOI: [https://doi.org/10.1007/s10588-018-9270-z]

Shujahat, M., Ali, B., Nawaz, F., Durst, S., & Kianto, A. (2018). Translating the impact of knowledge management into knowledge‐based innovation: The neglected and mediating role of knowledge‐worker satisfaction. Human Factors and Ergonomics in Manufacturing & Service Industries, 28(4), 200-212.

Nawaz, F., Shahzad, F., Rehman, I. U., Shujahat, M., Hayder, S., & Barghouthi, S. A. (2018). Performance of Gaussian and Non-Gaussian Dynamic Models in Assessing Market Risk: Implications for Risk Management. Communications in Statistics- Theory and Methods, 48(13), 3360-3376. DOI: [https://doi.org/10.1080/03610926.2018.1476707]

Razzaq, S., Shujahat, M., Hussain, S., Nawaz, F., Wang, M., Ali, M., & Tehseen, S. (2018). Knowledge management, organizational commitment and knowledge-worker performance: The neglected role of knowledge management in the public sector. Business Process Management Journal, 25(5), 923-947. DOI: [https://doi.org/10.1108/BPMJ-03-2018-0079]

Kianto, A., Shujahat, M., Hussain, S., Nawaz, F., & Ali, M. (2019). The impact of knowledge management on knowledge worker productivity. Baltic Journal of Management, 14(2), 178-197. DOI: [https://doi.org/10.1108/BJM-12-2017-0404]

Tehseen, S., Sadia Ahmed, M., Durst, S., Shujahat, M., Zuhaib, H., & Kokkalis, P. (2019). Composition-based view of the firm as a promising approach to studying small businesses. Production Journal, 29, 1-14. DOI: [10.1590/0103-6513.20180022]

Shujahat, M., Akhtar, A., Nawaz, F., Durst, S., Wang, M., & Sumbal, M. S. (2020). Knowledge risk management in two-tier HRM structures. In Durst, S., & Henschel, T.(Eds.), Knowledge Risk Management: From Theory to Praxis. (pp49-68). Cham: Springer.

Sumbal, M. S., Tsui, E., Irfan, I., Shujahat, M., Mosconi, E., & Ali, M. (2019). Value creation through big data application process management: the case of the oil and gas industry. Journal of Knowledge Management, 23(8), 1566-1585. DOI: [https://doi.org/10.1108/JKM-02-2019-0084]

Malik, S., Nawaz, F., Shujahat, M., Kianto, A., Hussain, S., & Ali, M. (2019). The determinants of the online banking adoption behavior by the theory of trying in developing countries: The case of Pakistani banks. Knowledge Management & E-Learning, 11(2), 247-261. DOI: [https://doi.org/10.34105/j.kmel.2019.11.013]

Shujahat, M., Razzaq, S., Wang, M., & Durst, S. (2019, 9). Personal knowledge management and knowledge worker productivity in the healthcare sector. Proceedings of European Conference on Knowledge Managemen, Lisbon, Portugal.

Zainuddin, Z., Shujahat, M., Haruna, H., & Chu, S. K. W. (2020). The role of gamified e-quizzes on student learning and engagement: An interactive gamification solution for a formative assessment system. Computers & Education, 145. DOI: [https://doi.org/10.1016/j.compedu.2019.103729]

Zainuddin, Z., Shujahat, M., Chu, S., Haruna, H., & Farida, R. (2019). The effects of gamified flipped instruction on learner performance and need satisfaction: A study in a low-tech setting. Information and Learning Sciences, 120(11), 789-802. DOI: [https://doi.org/10.1108/ILS-07-2019-0067]

Zainuddin, Z., Chu, S. K. W., Shujahat, M., & Perera, C. J. (2020). The impact of gamification on learning and instruction: A systematic review of empirical evidence. Educational Research Review, 30. DOI: [https://doi.org/10.1016/j.edurev.2020.100326]

Sumbal, M. S., Tsui, E., Durst, S., Shujahat, M., Irfan, I., & Ali, S. M. (2020). A framework to retain the knowledge of departing knowledge workers in the manufacturing industry. VINE Journal of Information and Knowledge Management Systems. DOI: [https://doi.org/10.1108/VJIKMS-06-2019-0086]


CV

Download