Raksmey Sann | Quantitative Hypotheses | Best Researcher Award

Raksmey Sann | Quantitative Hypotheses | Best Researcher Award

Prof Raksmey Sann, Khon Kaen university, Thailand

Dr. Raksmey Sann is an accomplished academic specializing in International Tourism, Hospitality, and Events Management. He earned his Ph.D. from the National Pingtung University of Science and Technology, Taiwan, with First-Rank Honor and a dissertation on cross-cultural online complaining behavior in the hospitality industry ๐Ÿ“š. Dr. Sann is currently a faculty member at Khon Kaen University, Thailand, where he teaches research methodology, tourism management, and sustainable event management ๐ŸŒ. His research focuses on service marketing, data mining, and consumer behavior, with numerous publications in top-tier journals. He has received multiple scholarships and research grants for his outstanding work in the field ๐ŸŽ“.

Publication profile

google scholar

Education

I hold a distinguished academic background in International Tourism, Hospitality, and Events Management, having earned a degree with First-Rank Honor from the National Pingtung University of Science and Technology, Taiwan, in September 2020 ๐ŸŽ“. His dissertation, โ€œInvestigating Cross-Cultural Online Complaining Behavior in the Hospitality Industry,โ€ was guided by a notable committee, including Professor Li, Yi-Ming (chair). I was awarded the Excellent Foreign Student Scholarship ๐Ÿ†. His MSc, also from the same university, focused on โ€œCross-Cultural Tourist Online Hotel Booking Behaviourโ€ and received Second-Rank Honor. I previously graduated with a BA from Mahasarakham University, Thailand, with First-Class Honor, supported by the Princess Maha Chakri Sirindhorn Scholarship ๐Ÿ‘‘. My academic journey began with a BS Ed in TEFL from the Royal University of Phnom Penh, Cambodia ๐Ÿ“š.

Honors and Awards

During my academic journey, I was honored to receive multiple prestigious scholarships. From 2018 to 2020, I was awarded the Excellent Foreign Student Scholarship, a full government scholarship by the Ministry of Education, Taiwan ๐Ÿ‡น๐Ÿ‡ผ. Similarly, from 2016 to 2018, I received the same distinguished scholarship ๐Ÿ‡น๐Ÿ‡ผ. Earlier, I was privileged to earn the Her Royal Highness Princess Maha Chakri Sirindhorn Scholarship from 2011 to 2015, a full government scholarship by the Ministry of Education, Thailand ๐Ÿ‡น๐Ÿ‡ญ. My academic excellence was also recognized in Cambodia ๐Ÿ‡ฐ๐Ÿ‡ญ, where I received the National Excellent Student Scholarship from 2009 to 2011.

 

Research Experience

In 2020, at the National Pingtung University of Science and Technology, Taiwan, I completed my dissertation titled “Investigating Cross-Cultural Online Complaining Behavior in the Hospitality Industry: An Application of Content Analysis and Data Mining Approach,” under the guidance of Professor Pei-Chun Lai. This research delved into service marketing, service quality, and online consumer behavior, employing natural language processing, data mining, and big data analytics to uncover insights ๐Ÿ“Š. Previously, in 2018, I conducted exploratory research on cross-cultural tourist online hotel booking behavior, focusing on the impact of electronic word-of-mouth (eWOM). This thesis, also advised by Professor Lai, encompassed e-commerce, cross-cultural studies, and eWOM, using multivariate analysis, qualitative methods, and content analysis to draw its conclusions ๐ŸŒ.

 

Teaching Experience

Since December 2021, I have been a faculty member at Khon Kaen University’s Faculty of Business Administration and Accountancy in the Department of Tourism Innovation Management. I teach courses such as Research Methodology, Research Project, English for Tourism Business, and Sustainable Event Management, engaging with 120 undergraduate students each semester. For graduate students (MSc. & PhD), I cover Qualitative Research Methodology, Multivariate Analysis, and other advanced topics with over 20 students per semester. Previously, I taught various hospitality and tourism management courses at Khon Kaen University International College (Dec 2020 – Nov 2021). My teaching career began as a teaching assistant at National Pingtung University of Science and Technology (2016-2020) and teaching English to orphaned children in Phnom Penh (2009-2011). ๐Ÿ“š๐ŸŒ๐ŸŽ“

Recognition ๐Ÿ…

His accolades include the Best Outstanding PhD Research Performance (2021) from NPUST, Taiwan, and the Distinguished Master Thesis Award (2018) from the TSC Thesis Symposium, Taiwan. He has also won several presentation and competition awards throughout his academic career. ๐Ÿฅ‡

Research focus

R. Sann’s research primarily focuses on the hospitality industry, particularly on online customer behavior and sentiment analysis using advanced data analytics techniques. Key areas of interest include understanding online complaining behavior, the impact of cultural backgrounds on service perceptions, and the application of big data analytics to online reviews. Sann’s work also explores the effects of service quality, guest experiences, and health-related concerns on consumer behavior, integrating theories like the theory of planned behavior. This multidisciplinary approach leverages tools like NLP and machine learning to derive insights from large datasets, aiming to enhance service quality and customer satisfaction in hospitality. ๐Ÿจ๐Ÿ“Š๐Ÿง ๐Ÿ’ฌ

Publication top notes

Understanding homophily of service failure within the hotel guest cycle: Applying NLP-aspect-based sentiment analysis to the hospitality industry

Predicting Online Complaining Behavior in the Hospitality Industry: Application of Big Data Analytics to Online Reviews

Online complaining behavior: Does cultural background and hotel class matter?

Modelling theory of planned behavior on health concern and health knowledge towards purchase intention on organic products

Review papers on eWOM: prospects for hospitality industry

Analysis of online customer complaint behavior in Vietnamโ€™s hotel industry

Crisis Adaptation in a Thai Community-Based Tourism Setting during the COVID-19 Pandemic: A Qualitative Phenomenological Approach

An extension of the theory of planned behaviour in Thailand cycling tourism: The mediating role of attractiveness of sustainable alternatives

Multidimensional scale development and validation: university service quality (UNIQUAL)

Topic modeling of the quality of guestโ€™s experience using latent Dirichlet allocation: Western versus eastern perspectives

 

 

 

Mediatrice NIYONSABA | Qualitative Hypotheses | Best Paper Award

Mediatrice NIYONSABA | Qualitative Hypotheses | Best Paper Award

Mrs Mediatrice NIYONSABA, Rwanda Biomedical center, Rwanda

Mediatrice Niyonsaba is a dedicated health professional and researcher. Currently a second-year Masterโ€™s student in Epidemiology at the University of Rwanda, she holds a Bachelor’s degree in Anesthesia from the same institution. Since 2012, she has served as an anesthesia clinical officer at RBC/SAMU ๐Ÿš‘. Her research includes co-authoring a study on motorcycle crash epidemiology in Kigali and assisting in several projects, including those on anemia in trauma, substance abuse screening, and the impact of COVID-19 on CNS injuries. She is the lead author of a study on mHealth tools in prehospital care, published in the African Journal of Emergency Medicine ๐Ÿ“š.

Publication profile

scupos

Education

Since November 2021, she have been pursuing a Master of Science in Epidemiology at the University of Rwanda’s College of Medicine and Health Sciences ๐Ÿ“š. I previously earned a Bachelor’s degree in Anesthesia from the same university (2015-2017) ๐ŸŽ“. My professional journey includes working as an anesthesia clinical officer at RBC/SAMU (Service dโ€™Aide Medicale dโ€™Urgence) since November 2012 ๐Ÿฅ. Before that, I taught Biology at SAKE Secondary School from January to November 2009 ๐Ÿ‘ฉโ€๐Ÿซ.

Experience

Since January 2019, I’ve been part of the SAMU team collaborating with Utah University to develop and pilot test a mobile health communication tool (912 m Health tool) aimed at enhancing emergency medical services ๐Ÿš‘. I co-authored “Epidemiology and prehospital care of motorcycle crashes in Kigali, Rwanda,” published in November 2019 ๐Ÿ๏ธ. From January to April 2020, I was a research assistant for the Kigali Anemia in Trauma and Transfusion Study at CHUK ๐Ÿฅ. Between August 2020 and September 2021, I assisted in adapting screening instruments for detecting alcohol and drug abuse in Rwanda using ACASI ๐Ÿท๐Ÿ’Š. In late 2021, I contributed to research on the impact of COVID-19 on CNS injury treatment and outcomes ๐Ÿง . Recently, I authored “Challenges and opportunities to improve efficiency and quality of prehospital emergency care using an m Health platform,” published in the African Journal of Emergency Medicine in September 2023 ๐Ÿ“š.

Research focus

Dr. Sharmistha Jayaraman’s research focuses primarily on improving prehospital emergency care and trauma management in low-resource settings, particularly in Rwanda. Her studies encompass various aspects of emergency medical services (EMS), including challenges in locating emergency scenes ๐Ÿš‘, enhancing efficiency through m Health platforms ๐Ÿ“ฑ, neurotrauma management ๐Ÿง , and the epidemiology of trauma, such as motorcycle crashes ๐Ÿ๏ธ. Additionally, Dr. Jayaraman investigates the initial management of traumatic brain injuries and factors influencing HIV testing among emergency patients. Her work aims to improve healthcare outcomes by addressing critical gaps in prehospital care and emergency response systems in Sub-Saharan Africa.

Publication top notes

Challenges Locating the Scene of Emergency: A Qualitative Study of the EMS System in Rwanda

Challenges and opportunities to improve efficiency and quality of prehospital emergency care using an mHealth platform: Qualitative study in Rwanda

Trends in Neurotrauma Epidemiology, Management, and Outcomes during the COVID-19 Pandemic in Kigali, Rwanda

Factors associated with HIV testing among patients seeking emergent injury care in Kigali, Rwanda

The Initial Prehospital Management of Traumatic Brain Injuries in Kigali, Rwanda

The epidemiology and prehospital care of motorcycle crashes in a sub-Saharan African urban center

Data-driven prehospital training to decrease motorcycle crash deaths in a Sub-Saharan African urban center