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Bangkok, Thailand

Webster University Thailand is a liberal arts college established in 1999 with an undergraduate campus located near the resort town of Hua Hin in the district of Cha-Am, and additional graduate programs located in Bangkok, Thailand. WUT is one of several international campuses part of Webster University St. Louis, Missouri network, in the United States. Wikipedia.


Dezsi D.,University of Bucharest | Scarlat E.,University of Bucharest | Maries I.,University of Bucharest | Paun R.-M.,Webster University Thailand
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2014

The paper analyses the predictive power of heterogeneous agents interacting in an evolutionary agent-based model of the stock market when simulated through Altreva Adaptive Modeler multi-agent simulation software application. The paper tests the long-term prediction accuracy of an evolutionary agent-based model when simulating the S&P500 stock market index. The model incorporates 2,000 agents which trade amongst each other on an artificial stock market which uses a double auction trading mechanism. Within the evolutionary agent-based model, the population of agents is continuously adapting and evolving by using genetic programming in order to obtain new agents with better trading strategies generated from combining the trading strategies of the best performing agents and thus replacing the agents which have the worst performing trading strategies. © 2014 Springer International Publishing Switzerland. Source


Delcea C.,Academy of Economic Studies Bucharest | Cotfas L.-A.,Academy of Economic Studies Bucharest | Paun R.,Webster University Thailand | Maracine V.,Academy of Economic Studies Bucharest | Scarlat E.,Academy of Economic Studies Bucharest
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2016

Facebook is one of the largest socializing networks nowadays, gathering among its users a whole array of persons from all over the world, with a diversified background, culture, opinions, age and so on. Here is the meeting point for friends (both real and virtual), acquaintances, colleagues, team-mates, class-mates, co-workers, etc. Also, Facebook is the land where the information is spreading so fast and where you can easily exchange your opinions, feelings, travelling information, ideas, etc. But what happens when one is reading the news feed or is seeing his Facebook friends’ photos? Is he thrilled, excited? Is he feeling that the life is good? Or contrary: he is feeling lonely, isolated? Is he doing a comparison with his friends? These are some of the questions this paper in trying to answer. For shaping some of these relationships, the grey system theory will be used. © Springer-Verlag Berlin Heidelberg 2016. Source


Delcea C.,Academy of Economic Studies Bucharest | Cotfas L.-A.,Academy of Economic Studies Bucharest | Paun R.,Webster University Thailand
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2014

Facebook is one of the largest socializing networks nowadays, gathering among his users a whole array of persons from all over the world, with a diversified background, culture, opinions, age and so on. Here is the meeting point for friends (both real and virtual), acquaintances, colleagues, team-mates, class-mates, co-workers, etc. Also, here is the land where the information is spreading so fast and where you can easily exchange your opinions, feelings, traveling informations, ideas, etc. But what happens when one is reading the news feed or is seeing his Facebook friends’ photos? Is he thrilled, excited? Is he feeling that the life is good? Or contrary: he is feeling lonely, isolated? Is he doing a comparison with his friends? These are some of the questions this paper in trying to answer and shaping some of these relationships, the grey system theory will be used. © Springer International Publishing Switzerland 2014. Source


El-Yafouri R.,Grenoble Graduate School of Business | Klieb L.,Webster University Thailand
2014 IEEE 16th International Conference on e-Health Networking, Applications and Services, Healthcom 2014 | Year: 2015

The aim of this research is to explore the motives behind the adoption or rejection of Electronic Health Records (EHR) systems in the USA by medical offices. The current health care system in the United States suffers from high expenditures and poor quality. The Patient Protection and Affordable Care Act, passed in 2010, attempts to save costs and improve quality of care by offering incentives to use Electronic Health Records systems. Part of the reform by this law is dependent on the use of technology in managing patient medical and health records. The objective is to reduce redundancy and increase quality by sharing medical information amongst different health organizations like hospitals, physician offices, laboratories and clinical institutions. The success of such reform requires the participation and collaboration of all these entities and their patients. Prior research shows that adoption of Electronic Medical Records systems by hospitals and physician offices has been evident but at a rate that is slower than in other countries. Aside from financial barriers, technical, psychological, social/legal and organizational barriers exist. In order to understand the impact of those barriers on the adoption of Electronic Health Records management by small physician offices better, a five-level adoption model is presented to define the stages of diffusion of EHR systems. Fifteen consolidated barriers are mapped to each adoption level. This research concentrates on smaller physician offices because hospitals and larger institutions are more ready and capable of adoption, according to previous research. The Diffusion of Technology Model by Rogers, the Theory of Planned Behavior by Ajzen and Fishbein, and Davis' Technology Acceptance Model are combined and extended. This model will be used to empirically measure physicians' attitudes, knowledge, social and legal influences, subjective norm and systems' ease of use and usefulness amongst other variables. These variables are applied as mediators or moderators of the intention and decision to adopt or move into subsequent levels of adoption with the goal of seeing what drives those decisions. © 2014 IEEE. Source


Bradea I.,University of Bucharest | Delcea C.,University of Bucharest | Paun R.,Webster University Thailand
Proceedings of the 24th International Business Information Management Association Conference - Crafting Global Competitive Economies: 2020 Vision Strategic Planning and Smart Implementation | Year: 2014

The romanian health system is characterized by lack of transparency, poor funding, insufficient numbers of medical personnel, outdated equipment, and negligence. These risk factors are sometimes manifesting together, giving rise to correlated risks that appear in cascade, causing major losses, both financial and human. Unfortunately, most managers of health institutions in Romania show a lack of management skills and reaction to increasing risk exposure of the institutions they lead. This is explained by the fact that they are either politically appointted, or are physicians who are not specialized in hospital risk management. In this paper we present a case study describing a tragedy that happened at an important hospital in Romania, where the manifestation of several types of risks generated human and financial losses, and strongly affected the hospital reputation that has reached a critical point. How could this situation have been avoided or fixed? What are the ways of evaluating, monitoring and managing the similar risks? And could the risks be prevented in time? Source

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