"... In PAGE 3: ... iii CONTENTS Summary _______________________________________________________________________________ IV CHAPTER 1 INTRODUCTION ____________________________________________________________1 CHAPTER 2 LITERATURE REVIEW ______________________________________________________2 Management Issues_________________________________________________________________________2 Airport Development _____________________________________________________________________2 Aircraft Technology ______________________________________________________________________3 Alliances amp; Mergers _____________________________________________________________________3 Frequent Flyer amp; Loyalty Programs__________________________________________________________4 Risk Management________________________________________________________________________4 Risks for Long haul Travel_________________________________________________________________5 Consumer Issues ___________________________________________________________________________5 Knowledge, Familiarity amp; Long Haul Destinations______________________________________________7 Perceptions of Long Haul Destinations _______________________________________________________8 Perception of Travel Time _________________________________________________________________8 Perceived Cost __________________________________________________________________________8 Perceived Risk __________________________________________________________________________9 Forecasting Issues _________________________________________________________________________10 CHAPTER 3 RESEARCH DESIGN ________________________________________________________11 Advantages of Focus Groups ________________________________________________________________11 The Sample ______________________________________________________________________________11 Conducting Focus Groups___________________________________________________________________12 CHAPTER 4 RESULTS amp; DISCUSSION ___________________________________________________14 The Student Focus Groups __________________________________________________________________14 The Industry Focus Group __________________________________________________________________14 Management Issues _____________________________________________________________________14 Consumer Issues________________________________________________________________________15 Forecasting Issues ______________________________________________________________________15 Other Comments _______________________________________________________________________16 General Discussion ________________________________________________________________________16 CHAPTER 5 CONCLUSION______________________________________________________________17 Appendix A: Student Focus Group Interviews at La Trobe University_____________________________18 Appendix B: Student Focus Group Interviews at Victoria University______________________________20 Appendix C: Student Focus Group Interviews at Griffith University ______________________________24 Appendix D: Industry Focus Group Interviews________________________________________________30 REFERENCES __________________________________________________________________________37 AUTHORS______________________________________________________________________________40 List of Tables Table1 : Major markets of long haul travel to Australia: visitor arrivals in 1999__________________________1 Table 2: Sample distribution_________________________________________________________________12 Table 3: Market share of total visitors to Australia by age by country of residence (%) ___________________12 ... In PAGE 5: ... The long haul travel sector has made greatest contribution to the overall inbound tourism business in Australia. In 1999, over 64% of the total inbound tourists to Australia were long haul travellers and Japan was the largest generating country of long haul visitors ( Table1 ). According to the Bureau of Tourism Research (BTR), visitors from countries other than New Zealand spent a total of $15.... ..."

"... In PAGE 3: ... Now, although Saturday is still the day of least usage, the variation is far less marked. Table5 shows the visitor by the main Internet domains (which in general correspond to countries) and Table 6 shows the visitors by continent. The number of unknown (numerical) domains is around a third of total accesses and this has not changed much over time [6].... ..."

"... In PAGE 23: ... 21 How can this option pricing formula be applied into those real world managerial options? The key to understanding the IT investment settings in which option pricing is worthwhile to use relates to basic elements of the Black and Scholes model [1973]. Table1 shows the relationship between financial options and IT projects viewed as real options, as nested in Kumar [2002]. Factor Financial option IT investment settings as real options X Determined at the time is purchased.... In PAGE 23: ... Estimated based on experience with prior projects or managerial opinion. Table1 . Comparison of financial European style options and IT projects viewed as real option, nested in Kumar [2002].... In PAGE 68: ... 66 Technology Description Primary APIs Speed Bluetooth Short-range radio-frequency communication RFCOMM, L2CAP, SDP, BT serial API Up to 1 Mbps E-mail E-mail messaging IMAP4, POP3, SMTP GPRS Packet radio service for GSM cellular network Up to 107.2 kbps in one direction GSM Global system for mobile 9600-14400 kbps HSCSD High-speed circuit-switched data Up to 57,6 kbps IrDA Infrared data association protocol stack IrTinyTP Up to 4 Mbps MMS Multimedia messaging service SMS Short message service SyncML Synchronization protocol TCP/IP Transmission control protocol/internet protocol suite TCP, UDP, IP WAP Wireless application protocol WSP, WDP Table1 . Supported communications technologies [Digia 2003].... In PAGE 111: ... The recommended size of image is listed in Table 1. Table1 . Suggested Maximum Image Pixel Sizes [Tittel et al.... In PAGE 123: ... During ocular cognitive progress, when people began to look somewhere who always focus on the objects that with shape, color and magnitude then analysis its visual features and go to compare with template memories to identify it and get experiment meanings about them. There is an organization to do some observation and tracking eye cluster [Poynter, 1998] from websites visitor then do record and analysis ( Table1 ). ... ..."

"... In PAGE 4: ... Methods and Research data When talking about users we made the following initial distinction: demographics and Habbo activity. This distinction was elaborated on during our survey work ( Table3 ), but it enabled us to break down the initial who-is-the-user question in to three different ques- tions: 1) what is the demographics of the Habbo users? 2) What are the popular activities in Habbo, and 3) Does the demographics correlate with the Habbo activity? Table 2 summarised the empiric data in the Habbo case. Here we focus on the survey data, fansite articles, and player interviews.... In PAGE 5: ....1. Statistics: Habbo Visitor Profile Because there were no data available on the Habbo visitors, we decided fairly early in the project to do a visitor profile survey, to get some quantitative background data for our otherwise mainly qualitative analysis. We were interested in both demographics and online Habbo activites, so we created a model of how we understood the Habbo visitor ( Table3 ). Our objectives was to find out which of these attributes were related to each other, for instance if age or gender says anything about what the visitors do in Habbo.... ..."

"... In PAGE 3: ... This is no longer the case, probably due to increased commercial competition, of which more later. The number of visitors by hours of the days follows US working hours (see Table3 ), although the difference in the maximum and minimum levels is much less pronounced than it used to be [6]. Currently it is less than a factor of two (around 1.... ..."