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Chinese Outbound Travel: Understanding The Socioeconomic Drivers, Songshan (Sam) Huang, Xiang Wei
Chinese Outbound Travel: Understanding The Socioeconomic Drivers, Songshan (Sam) Huang, Xiang Wei
Research outputs 2014 to 2021
This study used a national sample (N = 36,490) of Chinese urban residents to examine the relationship between outbound travel intention and some key demographic, economic, and geographic variables. Findings indicate that education, income, and paid vacation days significantly predicted outbound travel intention. Compared to residents in Tier-4 cities in China, those in Tier-1, -2, and -3 cities had higher probability of choosing outbound travel by 13.1%, 30.9%, and 15.3%, respectively. This study draws meaningful connections between Chinese outbound tourism and the social and economic realities in China and offers an alternative approach to understanding Chinese outbound tourism.
Towards An Improved Typology Approach To Segmenting Cultural Tourists, Ganghua Chen, Songshan (Sam) Huang
Towards An Improved Typology Approach To Segmenting Cultural Tourists, Ganghua Chen, Songshan (Sam) Huang
Research outputs 2014 to 2021
This study aims to improve the cultural tourist typology methodology that uses cultural centrality and depth of cultural experience in its framework. Using a sample of Chinese tourists in Macau (n = 595) collected via questionnaire surveys, the study confirmed the determination effect of cultural centrality on depth of cultural experience. Subsequently, the study demonstrated an improved approach that eliminates such a determination effect in typology identification. Compared to McKercher's () approach, the improved typology presents a balanced segmentation of cultural tourists and distinguishes the segments more clearly in their sociodemographic characteristics. The improved typology generated more meaningful practical implications.
Improving Forensic Software Tool Performance In Detecting Fraud For Financial Statements, Brian Cusack, Tau’Aho Ahokov
Improving Forensic Software Tool Performance In Detecting Fraud For Financial Statements, Brian Cusack, Tau’Aho Ahokov
Australian Digital Forensics Conference
The use of computer forensics is important for forensic accounting practice because most accounting information is in digital forms today. The access to evidence is increasingly more complex and in far greater volumes than in previous decades. The effective and efficient means of detecting fraud are required for the public to maintain their confidence in the reliability of accounting audit and the reputation of accounting firms. The software tools used by forensic accounting can be called into question. Many appear inadequate when faced with the complexity of fraud and there needs to be the development of automated and specialist problem-solving …
The Effects Of Gender And Task Complexity On Audit Judgment, Janne Chung, Gary S. Monroe
The Effects Of Gender And Task Complexity On Audit Judgment, Janne Chung, Gary S. Monroe
Research outputs pre 2011
This study examines the interaction effect between gender and task complexity on audit judgment based on the selectivity hypothesis. This hypothesis states that males are selective information processors whereas females are detailed information processors. The study extends this hypothesis to an auditing context and hypothesizes that males will outperform females when task complexity is low while females will outperform males when task complexity is high. A two (males and females) by two (task complexity - high and low) full factorial experiment was carried out. The low and high task complexity conditions were created by manipulating the number of cues. The …