Logistic Regression Analysis of Cruise Vacation Market Potential: Demographic and Trip Attribute Perception Factors

By Lynda de la Vina, Jamie Ford. 2001

119 citations recorded by the source corpus.

Subfields: Public Health, Environmental and Occupational Health, Sociology and Political Science, Transportation

View Paper: https://www.semanticscholar.org/paper/8d9004c894dcf64c1290126064b6f969cb6166bb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Public Health, Environmental and Occupational Health

1. J. Petrick
2. Kam Hung

In Sociology and Political Science

1. Kam Hung
2. L. Pennington-Gray
3. Ashley Schroeder
4. Chenchen Yang
5. B. Liu-Lastres
6. Christian Laesser
7. J. Petrick
8. Xiaolong Guo

In Transportation

1. Kam Hung
2. Christian Laesser
3. J. Petrick
4. G. Crouch
5. Jong-Hyeong Kim
6. Heesup Han
7. Liping A. Cai
8. Sunghyup Sean Hyun

Citations in the corpus

• Cruise Line Customers’ Responses to Risk and Crisis Communication Messages: An Application of the Risk Perception Attitude Framework (2018, background): “Several studies have found that past cruise travel experience was an important factor that influenced passengers’ satisfaction, attitudes, and purchase intentions (De La Viña and Ford 2001; Petrick 2004).”
• Segmenting Markets by Travel Expenditure Patterns: The Case of International Visitors to Australia (2006, background): “A study on cruises by Vina and Ford (2001) also stresses that the utility of a cruise is determined by duration, destinations visited, and the availability of pre- and postcruise packages.”
• Testing the effects of congruity, travel constraints, and self-efficacy on travel intentions: An alternative decision-making model (2012, background): “…vacations have been investigated in past studies including: the economic benefits of the cruise industry (Dwyer & Forsyth,1998; Henthorne, 2000; Vina & Ford, 2001), loyalty (Li & Petrick, 2008a, 2008b; Petrick, 2004a, 2005a; Petrick & Sirakaya, 2004), price sensitivity (Petrick, 2005b), the…”
• Customers response to online food delivery services during COVID‐19 outbreak using binary logistic regression (2020, background): “…15 times 15 3.2 Between 16 and 20 times 11 2.4 Above 20 times 2 0.4 Purchase decision Do not order 317 68.6 Ordered 145 31.4 Source: The authors. significant improvement in the fit over the intercept-only model (De La Viña & Ford, 2001; Galbraith et al., 2007; Pituch, 2015; Zewude & Ashine, 2016).”
• Opening the online marketplace: An examination of hotel pricing and travel agency on-line distribution of rooms (2014, result): “Similar research can be found in the existing literature (e.g., De La Viña & Ford, 2001; Morosan & Jeong, 2008; Wong & Law, 2005).”