Researcher Profile > College of International Management> PARDO Phillip Dean
College of International Management

Professor

PARDO Phillip Dean
Birth:1956
Tel. +81-977-78-1272
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Books Number of the published data : 6
No. Title Publication date
1 Social Media and Knowledge Transfer in Tourism: Five-Star Hotels in Philadelphia 2017/07
Title Social Media and Knowledge Transfer in Tourism:
Five-Star Hotels in Philadelphia
Publisher Emerald Publishing Limited
Pages that you were responsible for 239 - 255
Joint authors Malcolm Cooper, Thai Quang Le, W.B. Claster
ISBN
Summary
 
2 Mastery-Altruism-Passion Model: Return to Knightly Virtues in Business 2016/11
Title Mastery-Altruism-Passion Model: Return to Knightly Virtues in Business
Publisher Scholars' Press, OmniScriptum GmbH & Co. KG
Bahnhofstraße 28,
66111 Saarbrücken
Germany
Pages that you were responsible for ALL
Joint authors Felix Hartanto and Monica E. Saputra
ISBN 978-3659843662
Summary
MAP, a theory of the virtues of man, is derived from the ongoing research of Phillip D. Pardo on knightly virtues and how they apply to modern Management. Taking samples of early influential concepts of Chivalric Codes of European medieval knights, Bushido of Japanese samurai and Ksatria's virtues of Indonesian warriors, this research finds that although they were established in different eras and places, several equivalent virtues, if not the same, exist as commonalities among them: Mastery, Altruism and Passion (MAP).
 
3 Artificial Neural Network Modelling - Application of Artificial Neural Network in Social Media Data Analysis:... 2016/06
Title Artificial Neural Network Modelling - Application of Artificial Neural Network in Social Media Data Analysis: A Case of Lodging Business in
Philadelphia (Chapter 16)
Publisher SPRINGER INTERNATIONAL PUBLISHING, Switzerland 2016
Pages that you were responsible for Chapter 16
Joint authors Le Quang Thai, William Claster and Phillip Pardo
ISBN 978-3-319-28493-4
Summary
Artificial Neural Network (ANN) is an area of extensive research. The ANN has been shown to have
utility in a wide range of applications. In this chapter, we demonstrate practical applications of ANN in
analyzing social media data in order to gain insight into competitive analysis in the field tourism. We have
leveraged the use of an ANN architecture in creating a Self-Organizing Map (SOM) to cluster all the
textual conversational topics being shared through thousands of management tweets of more than ten upper
class hotels in Philadelphia. By doing so, we are able not only to picture the overall strategies being
practiced by those hotels, but also to indicate the differences in approaching online media among them
through very lucid and informative presentations. We also carry out predictive analysis as an effort to
forecast the occupancy rate of luxury and upper upscale group of hotels in Philadelphia by implementing
Neural Network based time series analysis with Twitter data and Google Trend as overlay data. As a result,
hotel managers can take into account which events in the life of the city will have deepest impact. In short,
with the use of ANN and other complementary tools, it becomes possible for hotel and tourism managers
to monitor the real-time flow of social media data in order to conduct competitive analysis over very short
time frames.
 
4 Current Issues and Emerging Trends in Medical Tourism - The Americas (Chapter 22) 2015/07
Title Current Issues and Emerging Trends in Medical Tourism - The Americas (Chapter 22)
Publisher IGI GLOBAL
Pages that you were responsible for 310-326
Joint authors
ISBN 978-1-4666-8574-1
Summary
Outlines some of the practice and assesses the status of MEDICAL TOURISM IN THE AMERICAS. A selection of countries as case studies is all that is possible in relation to this huge origin and destination market, but the chapter covers the main issues and trends. Perhaps the best place to begin is with the USA, given that it can be characterized as the country that, through its selective and highly expensive approach to medicine, and its relatively unhealthy though rich population, has probably contributed most in recent years to the rise of international travel for medical reasons. But first, some general observations and statistics relating to the region as a whole are discussed.
 
5 Current Issues and Emerging Trends in Medical Tourism - An Early Pioneer of Medical Tourism's Use... 2015/07
Title Current Issues and Emerging Trends in Medical Tourism - An Early Pioneer of Medical Tourism's Use of the Internet and Social Media(Chapter 12)
Publisher IGI GLOBAL
Pages that you were responsible for 162-172
Joint authors Various authors contributing to book on Medical Tourism.
ISBN 978-1-4666-8574-1
Summary
Using SWOT analysis and following a Medical Tourism pioneer from the mid 90’s (remember that 1993 marks the first use of websites), we try to map the earliest evolution of the use of the web for the delivery of medicine.
 
6 Tourism and Social Media: Algorithmic Text Analysis Methodologies in Tourism & Hospitality 2014/12
Title Tourism and Social Media: Algorithmic Text Analysis Methodologies in Tourism & Hospitality
Publisher IGI GLOBAL - The Encyclopedia of Information Science and Technology, 3rd Edition
Pages that you were responsible for 537-551
Joint authors William Claster, Phillip Pardo, Malcolm Coooper, Kayhan Tajeddini
ISBN 978-1-4666-5888-2
Summary
Innovative sentiment mining of easily available and usually cheap databases can yield surprising insights into the thinking of consumers for the Tourism and Hospitality industry. We have outlined specific benefits from real-time monitoring of events as well as the potential for heightened industry and brand awareness through the monitoring of social media, and how industry and Governments can make use of this knowledge advantage. The utilization of these techniques and knowledge resources will lead to lower costs of data gathering and research, better differentiation in the spread of information gained, more effective operational methods to capture ‘word of mouth’ information and sentiment, and more powerful business analytics applications.