Jack Ng Kok Wah | Business | Best Innovation Award

Dr. Jack Ng Kok Wah | Business | Best Innovation Award 

Senior Lecturer at Multimedia University Cyberjaya | Malaysia

Dr. Jack Ng Kok Wah is a distinguished academic and innovation-driven scholar currently serving as a Senior Lecturer at Multimedia University, Malaysia, with a professional focus on artificial intelligence, digital marketing, and behavioral science in business transformation. With over three decades of multidisciplinary experience spanning healthcare, finance, education, and tourism, he bridges academic theory with practical applications that advance both industry and society. He holds a Ph.D. in Business from Universiti Malaya-Wales, an MBA in Marketing Management from Nottingham Trent University and a BA (Hons) in Marketing Management from the University of Northumbria at Newcastle. His research emphasizes the integration of AI technologies into marketing and management systems, exploring areas such as AI-assisted healthcare, digital mental health engagement, AI in agriculture, and data-driven consumer behavior. He has published 10 Scopus-indexed documents with an academic influence reflected in 47 citations by 46 documents, a publication count of 10, and an h-index of 3, demonstrating consistent scholarly contribution. Dr. Jack Ng Kok Wah’s portfolio of Q1 and Q2 publications includes studies on AI-driven robotic surgery, digital health, agricultural sustainability, and AI-powered language learning, signifying his commitment to advancing knowledge that has global reach and societal benefit. His professional journey also includes leadership in curriculum innovation, mentorship, and research supervision at postgraduate levels, contributing to capacity-building in AI-based business education. A certified HRDF trainer and recognized expert in digital strategy, he frequently delivers keynote addresses and training sessions on AI-powered marketing and academic writing. His excellence has been acknowledged with multiple distinctions, including the Best Researcher Award and inclusion in Britishpedia: Successful People in Malaysia & Singapore. Dr. Jack Ng Kok Wah’s research ethos is driven by innovation, interdisciplinary collaboration, and the pursuit of solutions that merge technology with human-centric progress. His ongoing work continues to shape the future of digital transformation, fostering impactful academic research and industrial partnerships that promote sustainable, intelligent business ecosystems.

Profile: Scopus | Orcid | Google Scholar | Linkedin

Fuetured Publications:

Ng Kok Wah, J. (2025). The rise of robotics and AI-assisted surgery in modern healthcare. Journal of Robotic Surgery, 19, Article 311.

Ng Kok Wah, J. (2025). Revolutionizing surgery: AI and robotics for precision, risk reduction, and innovation. Journal of Robotic Surgery, 19(47).

Ng Kok Wah, J. (2025). Revolutionizing e-health: The transformative role of AI-powered hybrid chatbots in healthcare solutions. Frontiers in Public Health, 13.

Ng Kok Wah, J. (2025). AI-driven robotic surgery in oncology: Advancing precision, personalization, and patient outcomes. Journal of Robotic Surgery, 19, 382.

Ng Kok Wah, J. (2025). The robotic revolution in cardiac surgery. Journal of Robotic Surgery, 19(386).

Ng Kok Wah, J. (2025). The role of AI in transforming agriculture: Toward sustainable growth in an era of climate change. Scientific Culture, 11(2), 45–63.

Ng Kok Wah, J. (2025). AI-driven 3D and 4D food printing: Innovations for sustainability, personalization, and global applications. Food Reviews International. Advance online publication.

Ng Kok Wah, J. (2025). Empowering minds: How self-efficacy, self-esteem, and social support drive digital mental health engagement. Frontiers in Public Health, 13.

Ng Kok Wah, J. (2025). Empowering healthier decisions: The impact of consumer innovativeness on linking perceived benefits with protective health behaviors through digital marketing in the healthcare sector. International Journal of Pharmaceutical and Healthcare Marketing. Advance online publication.

Ng Kok Wah, J. (2025). Artificial intelligence in language learning: A systematic review of personalization and learner engagement. Forum for Linguistic Studies, 7(9), 327–341.

Zhenbin Wang | Business | Best Researcher Award

Dr. Zhenbin Wang | Business | Best Researcher Award 

Lecture at Anyang Institute of Technology | China 

Dr. Zhenbin Wang is an accomplished scholar in tourism management and business research, currently serving as a full-time faculty member at the Business School, Anyang Institute of Technology, China. He earned his undergraduate degree in Tourism Management from Henan University of Economics and Law, followed by a master’s degree in Tourism Management from Henan University, and is presently completing his doctoral studies in Tourism at Universiti Putra Malaysia, reflecting his continuous pursuit of advanced knowledge in his field. Professionally, he has held significant academic roles, including Dean of the Examination Office at Anyang College and full-time lecturer at Anyang University before joining his current institution. His research interests are centered on rural tourism development, cultural tourism, tourism behavior, and rural revitalization strategies, with a particular focus on integrating cultural heritage with sustainable tourism models. He has published in respected journals such as PLOS ONE, Journal of Quality Assurance in Hospitality & Tourism, and the International Journal of Academic Research in Economics and Management Sciences, and has presented at international academic conferences, including studies on City Walk tourism in Malaysia. His involvement in numerous provincial and municipal research projects, many of which won awards and government recognition, demonstrates his strong capability in leading applied research with regional impact, particularly in rural development, cultural tourism planning, and community revitalization. Dr. Zhenbin Wang ’s research skills include tourism planning, cultural and behavioral analysis, project development, and system design for tourism support, supported by his certifications as a qualified university lecturer and provincial Mandarin proficiency tester. Although his honors include multiple funded projects and research prizes at the provincial and city level, his broader recognition lies in bridging academic theory with practice for community development. In conclusion, Dr. Zhenbin Wang’s academic qualifications, leadership roles, impactful research, and dedication to advancing business and tourism studies position him as a highly deserving candidate for international recognition and future leadership in the field.

Profile : Orcid | Google Scholar

Featured Publications:

Wang, Z., Ramachandran, S., Siow, M. L., Subramaniam, T., & Hui, Z. (2024). Exploring the formation of behavioral intention toward rural tourism via sensory experience and memorable tourism experiences: A case study in Henan, China. Journal of Quality Assurance in Hospitality & Tourism, 1–25.

Wang, Z., Zhang, H., Ramachandran, S., & Cheng, S. (2025). Why are individuals tracing travel trends? A case study of City Walk in Malaysia. PLOS ONE, 20(2), e0309493.

Wang, Z., Hui, Z., Chaoyi, C., Ramachandran, S., & Iqbal, A. (2025). The formation of tourists’ behavioral intention in City Walk in Malaysia through the embodiment perspective. Acta Psychologica, 260, 105496.

Chaoyi, C., Huijuan, L., & Wang, Z. (2025). Influencing factors of tourist loyalty in China camping destinations based on expectation confirmation theory: The mediating role of satisfaction and well-being. Humanities and Social Sciences Communications, 12(1), 1–14.

Cao, C., Ramachandran, S., Siow, M. L., Liu, H., & Wang, Z. (2025). Leveraging social media for strategic business excellence in wine tourism: Insights from China’s Helan Mountains. Journal of Ecohumanism, 4(1).

Wang, Z., Ramachandran, S., Siow, M. L., Subramaniam, T., & Hui, Z. (2024). Mechanism of regional rural tourism development in China based on geographical perspective. International Journal of Academic Research in Economics and Management Sciences.