Prof Ignitia Motjolopane, an Associate Professor of Digital Business at the Witwatersrand Business School. She holds a PhD from Wits Business School and offers extensive experience in information systems and innovation management. She has shared her expertise through undergraduate and postgraduate lecturing on subjects like Advanced Database Systems, Research Methodology, Information Systems Development, and Artificial Intelligence. Her supervision of graduate and postgraduate students' research has further solidified her reputation. She has served as an Expert Evaluator for the European Union Innovation Council and the European Education and Culture Executive Agency, a testament to her international recognition in the field.
She is enthusiastic about bridging the gap between research and innovation and has published in peer-reviewed conferences, journals, and book chapters. She has published in areas that include strategic business-IT alignment, e-commerce, business model innovation, digital transformation, and the integration of artificial intelligence in teaching and learning. She is a reviewer for several journals, including the South African Computer Journal (SACJ) and Communications of the Association for Information Systems (CAIS). Her current research focuses on digital transformation, exploring digital business ecosystems, innovative business models, big data analytics, and artificial intelligence applications. The research aims to contribute to academic knowledge and provide valuable insights for businesses navigating the rapidly evolving digital landscape
Segooa M.A., Modiba, F.S. and Motjolopane I. Accepted 2024. Generative Artificial Intelligence Tools to Augment Teaching Scientific Research in Postgraduate Studies South African Journal of Higher Education (SAJHE)
Kwamongwe, N. Mavetera, C. Nojila, O. and Motjolopane I. accepted 2024. Adapted Unified Model for Information Security Compliance: Public sector case in South Africa. International Journal of Research in Business and Social Science
Motjolopane, I. and Chanza, M., 2023. Digital transformation dimensions for evaluating SMEs' readiness for big data analytics and artificial intelligence: A review. International Journal of Research in Business and Social Science (2147-4478), 12(7), pp.583-595.
Motjolopane I, Ruhode, E. Owolawi, P. S (eds) 2023. Business Models and Innovative Technologies for SMEs. Singapore: Bentham Science
Ramafi, P., Motjolopane, I. and Gorejena, K., 2023, December. Ethical Framework for Multi-Source Big Data Analytics Disease Surveillance in Public Healthcare. In International Conference on Artificial Intelligence and its Applications (pp. 65-73).
Segooa, M.A., Motjolopane, I. and Modiba, F.S., 2023, September. Development of a Design Science Artefact to Teach Computing Students: A Systematic Literature Review. In ECRM 2023 22nd European Conference on Research Methods in Business and Management. Academic Conferences and Publishing Limited.
Motjolopane, I. and Ruhode, E., 2022. Factors driving business model innovation in sample case studies in South Africa. African Journal of Science, Technology, Innovation and Development, 14(6), pp.1627-1641.
Motjolopane, I. and Seaba, T.R., 2022. Cloud Computing Service Provider Business Model Success Characteristics. In Digital Transformation and Internationalization Strategies in Organizations (pp. 124-148). IGI Global.
Teffo, M.C., Motjolopane, I. and Masenya, T.M., 2022. Academic Library Innovation Through a Business Model Canvas Lens: A Case of South African Higher Education Institutions. In Innovative Technologies for Enhancing Knowledge Access in Academic Libraries (pp. 22-39). IGI Global.
Motjolopane, I., 2021. Pushing the limits using business model innovation, a three-pronged approach and lessons learned. Journal of Human, Earth, and Future, 2(1), pp.24-35.
Motjolopane, I., 2021. Teaching research methodology: Student-centred approach computing education undergraduate course. Emerging Science Journal, 5(1), pp.34-43.
Chanza, M. Moroke, N. Pelser, A. Klinck, K. and Motjolopane, I. 2021 Data Analytics and Machine Learning Enhanced Talent Risk Management in Pelser, A.M.F, Vaiman, V and Nagy, Global innovative forefront talent management (eds)
Motjolopane, I., 2019, June. Teaching introductory graduate research methods course: student-centred approach reflections from practice. In Proceedings of the European Conference on Research Methods for Business & Management Studies (pp. 240-247).