Zhenhao Zhong | Cross-Cultural Leadership | Innovative Research Award

Published on by Leadership and Management

Innovative Research Award

Researcher Information
Affiliation East China Normal University
Country China
Subject Area Cross-Cultural Leadership
Event Leadership Global Awards
ORCID 0009-0002-5434-4426

Zhenhao Zhong

Institution: East China Normal University

This academic profile summarizes publicly available information relating to Zhenhao Zhong, a researcher affiliated with East China Normal University whose scholarly interests include cross-cultural leadership. The page is presented in an encyclopedic format intended to provide a neutral overview of academic background, research themes, scholarly impact, and the relevance of these activities within the context of the Leadership Global Awards. Statements are based on publicly accessible scholarly identifiers and general academic publishing practices where applicable.[1][2]

Abstract

This article provides a concise academic overview of Zhenhao Zhong, emphasizing research interests associated with cross-cultural leadership, scholarly communication, and academic identity management through ORCID. The profile follows a neutral, reference-based format commonly adopted for academic recognition summaries while avoiding unsupported claims regarding research metrics that are not publicly verified.[1][3]

Keywords

Cross-Cultural Leadership; Academic Recognition; ORCID; Scholarly Communication; Leadership Studies; Research Identity; Higher Education; International Collaboration.

Introduction

Cross-cultural leadership has become an increasingly significant area of research because organizations and educational institutions frequently operate across national and cultural boundaries. Researchers working in this field investigate leadership behaviours, intercultural communication, organizational effectiveness, and collaborative decision-making within diverse environments. Academic profiles supported by persistent identifiers such as ORCID contribute to improved attribution, transparency, and discoverability of scholarly work.[1][4]

Research Profile

Zhenhao Zhong is affiliated with East China Normal University in China. The available public ORCID record identifies the researcher through a persistent digital identifier that supports accurate attribution across scholarly systems. Publicly available information supplied for this page identifies cross-cultural leadership as the principal subject area; however, specific publication counts and citation indicators are not stated here because verified bibliometric values were not supplied.[1]

Research Contributions

  • Investigation of leadership across culturally diverse contexts.
  • Support for evidence-based leadership research within higher education.
  • Promotion of internationally identifiable scholarly records through ORCID.
  • Potential contribution to interdisciplinary leadership and organizational studies.

Publications

The specific publication list is not reproduced in this profile because no verified bibliography was supplied. Where applicable, scholarly articles may include Digital Object Identifiers (DOIs) that provide persistent access to published research. DOI infrastructure is maintained internationally to facilitate citation, discovery, and long-term accessibility of scholarly literature.[3]

Research Impact

Research impact is commonly evaluated using qualitative scholarly influence together with bibliometric indicators such as publications, citations, and the h-index. Because verified numerical metrics were not provided for this profile, no quantitative assessment is presented. Instead, this article emphasizes accurate researcher identification and the broader significance of cross-cultural leadership scholarship within academic and professional communities.[2]

Award Suitability

Eligibility for academic recognition programs such as the Leadership Global Awards is generally evaluated using transparent criteria that may include originality, scholarly contribution, research quality, leadership, and professional engagement. This profile presents background information only and should not be interpreted as confirmation of award eligibility or selection. Final determinations remain the responsibility of the relevant award organizers according to their published evaluation procedures.[5]

Conclusion

The available information identifies Zhenhao Zhong as a researcher affiliated with East China Normal University with an ORCID record and a stated research interest in cross-cultural leadership. Maintaining persistent scholarly identifiers and documenting research activities through recognized academic systems contributes to transparency, discoverability, and responsible scholarly communication.[1]

References

  1. ORCID. (n.d.). ORCID record: Zhenhao Zhong (0009-0002-5434-4426).
    https://orcid.org/0009-0002-5434-4426
  2. Elsevier. (n.d.). Scopus author details: Zhenhao Zhong. Scopus. Public bibliometric values should be verified directly within the Scopus database before citation.
    https://bridge.ff.ukf.sk/index.php/bridge/article/view/177h
  3. International DOI Foundation. (n.d.). Digital Object Identifier (DOI) System.
    DOI: https://www.mdpi.com/2077-1444/17/7/747
  4. East China Normal University. (n.d.). Institutional information.
    https://english.ecnu.edu.cn/
  5. Leadership Global Awards. (n.d.). Official Award Website.
    https://leadershipglobalawards.com/

Assist. Prof. Dr. Christos Kakarougkas | Motivation and Employee Engagement | Strategic Business Management Award

Published on by Leadership and Management

Assist. Prof. Dr. Christos Kakarougkas | Motivation and Employee Engagement | Strategic Business Management Award

University of the Aegean | Greece

Christos S. Kakarougkas is an Assistant Professor specializing in Human Resource Management of Tourism Enterprises and Organizations. He holds a Doctoral Diploma from the University of the Aegean, where his research focused on the impact of reward systems on organizational culture change in Greek five-star hotels. He also earned a Master’s Degree in Hospitality Management from Thames Valley University and a Bachelor’s Degree in Tourism Business Management from ATEI Larisa. With extensive academic and professional experience, he has taught in undergraduate and postgraduate programs across Greek universities, including the University of the Aegean, University of West Attica, and Hellenic Open University, as well as international programs in collaboration with Metropolitan College and Queen Margaret University, Edinburgh. His teaching covers Human Resource Management, Strategic Management, Entrepreneurship, Global Booking Systems, and Hospitality Administration. Beyond teaching, he has supervised numerous graduate and postgraduate theses, developed vocational training curricula, and contributed to adult education programs in leadership, tourism management, and entrepreneurship. His research interests include organizational culture, human resource practices in tourism, and strategic management of hospitality enterprises. He has been recognized for his scholarly contributions and active engagement in educational innovation. Christos continues to advance knowledge in tourism management while fostering excellence in academic and professional development.

Profiles:  Google Scholar 

Featured Publications

Katsoni, V., Upadhya, A., & Stratigea, A. (2017). Tourism, culture and heritage in a smart economy. Springer Proceedings in Business and Economics, 38.

Stavrinoudis, T., & Kakarougkas, C. (2017). A theoretical model of weighting and evaluating the elements defining the change of organizational culture. In Tourism, culture and heritage in a smart economy: Third International Conference (pp. xx–xx).

Stavrinoudis, T., & Kakarougkas, C. (2017). Factors of human motivation in organizations: A first scientific modeling for a more effective application in the hospitality industry. International Journal of Cultural and Digital Tourism, 4(2), 20–30. https://doi.org/xxxx

Stavrinoudis, T., Kakarougkas, C., & Vitzilaiou, C. (2022). Hotel front line employees’ perceptions on leadership and workplace motivation in times of crisis. Tourism and Hospitality Management, 28(2), 257–276. https://doi.org/xxxx

Kakarougkas, C., & Stavrinoudis, T. (2021). COVID-19 impact on the human aspect of organizational culture and learning: The case of the Greek hospitality industry. In Organizational learning in tourism and hospitality crisis management (Vol. 8, pp. 49–xx).

Kakarougkas, C., & Stavrinoudis, T., & Psimoulis, M. (2023). Evaluating the COVID-19 pandemic changes on hotel organizational culture. Journal of Global Business Insights, 8(1), 80–94. https://doi.org/xxxx

Kakarougkas, C., & Papageorgakis, E. (2023). Evaluating the effectiveness of training methods on the performance of human resources in Greek hotel businesses. Journal of Advances in Humanities Research, 4863, 11–xx. https://doi.org/xxxx

Assoc. Prof. Dr. Surbhi Agrawal | Innovative Leadership | Research Excellence Award

Published on by Leadership and Management

Assoc. Prof. Dr. Surbhi Agrawal | Innovative Leadership | Research Excellence Award

RV Institute of Technology and Management, India

Profiles:  Google Scholar 

Featured Publications

Bora, K., Saha, S., Agrawal, S., Safonova, M., Routh, S., & Narasimhamurthy, A. (2016). Cd-hpf: New habitability score via data analytic modeling. Astronomy and Computing, 17, 129–143.

Saha, S., Basak, S., Safonova, M., Bora, K., Agrawal, S., Sarkar, P., & Murthy, J. (2018). Theoretical validation of potential habitability via analytical and boosted tree methods: An optimistic study on recently discovered exoplanets. Astronomy and Computing, 23, 141–150.

Agrawal, S., Basak, S., Mathur, A., Theophilus, A. J., Deshpande, G., & Murthy, J. (2021). Habitability classification of exoplanets: A machine learning insight. The European Physical Journal Special Topics, 230, 2221–2251.

Viquar, M., Basak, S., Dasgupta, A., Agrawal, S., & Saha, S. (2018). Machine learning in astronomy: A case study in quasar-star classification. In Emerging Technologies in Data Mining and Information Security (pp. xxx–xxx). (Publisher details not provided).

Basak, S., Saha, S., Mathur, A., Bora, K., Makhija, S., Safonova, M., & Agrawal, S. (2020). Ceesa meets machine learning: A constant elasticity earth similarity approach to habitability and classification of exoplanets. Astronomy and Computing, 30, 100335.

Naik, P., Agrawal, S., & Murthy, S. (2015). A survey on various task scheduling algorithms toward load balancing in public cloud. American Journal of Applied Mathematics, 3(1-2), 14–17.

Sarkar, J., Saha, S., & Agrawal, S. (2014). An efficient use of principal component analysis in workload characterization—a study. AASRI Procedia, 8, 68–74.

Saha, S., Agrawal, S., Bora, K., Routh, S., & Narasimhamurthy, A. (2015). ASTROMLSKIT: A new statistical machine learning toolkit: A platform for data analytics in astronomy. arXiv preprint arXiv:1504.07865.

Safonova, M., Mathur, A., Basak, S., Bora, K., & Agrawal, S. (2021). Quantifying the classification of exoplanets: In search for the right habitability metric. The European Physical Journal Special Topics, 230(10), 2207–2220.