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

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

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.