References
- Abeyratne, R. (2008). The fear of flying and air rage—some legal issues. Journal of Transportation Security, 1(1), 45–66. https://link.springer.com/article/10.1007%2Fs12198-007-0001-9
- Alba, J., & Hutchinson, J. (1987). Dimensions of consumer expertise. Journal of Consumer Research, 13(4), 411–454. https://doi.org/10.1086/209080
- Barnett, T., Pearson, A. W., Pearson, R., & Kellermanns, F. W. (2015). Five-factor model personality traits as predictors of perceived and actual usage of technology. European Journal of Information Systems, 24(4), 374–390. https://doi.org/10.1057/ejis.2014.10
- Barrick, M. R., & Mount, M. K. (1991). The big five personality dimensions and job performance: A meta analysis. Personnel Psychology, 44(1), 1–26. https://doi.org/10.1111/j.1744-6570.1991.tb00688.x
- Batouei, A., Iranmanesh, M., Nikbin, D., & Hyun, S. S. (2019). Flight anxiety: Investigating the role of airline service quality and flight crew’s competence. Asia Pacific Journal of Tourism Research, 24(7), 710–724. https://doi.org/10.1080/10941665.2019.1630457
- Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon’s Mechanical Turk: A new source of inexpensive, yet high-quality, data? Perspectives on Psychological Science, 6(1), 3–5. https://doi.org/10.1177/1745691610393980
- Busscher, B., & Spinhoven, P. (2017). Cognitive coping as a mechanism of change in cognitive-behavioral therapy for fear of flying: A longitudinal study with 3-year follow-up. Journal of Clinical Psychology, 73(9), 1064–1075. https://doi.org/10.1002/jclp.22424
- Byrne, B. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming (2nd ed.). Routledge Academic.
- Chittaro, L. (2017). A comparative study of aviation safety briefing media: Card, video and video with interactive controls. Transportation Research Part C, 85, 415–428. https://doi.org/10.1016/j.trc.2017.10.007
- Chittaro, L., Corbett, C. L., McLean, G. A., & Zangrando, N. (2018). Safety knowledge transfer through mobile virtual reality: A study of aviation life preserver donning. Safety Science, 102, 159–168. https://doi.org/10.1016/j.ssci.2017.10.012
- Colonna, P., Intini, P., Berloco, N., & Ranieri, V. (2016). The influence of memory on driving behavior: How route familiarity is related to speed choice, An on-road study. Safety Science, 82, 456–468. https://doi.org/10.1016/j.ssci.2015.10.012
- Damos, D. L., Boyett, K. S., & Gibbs, P. (2013). Safety versus passenger service: The flight attendants’ dilemma. The International Journal of Aviation Psychology, 23(2), 91–112. https://doi.org/10.1080/10508414.2013.772822
- David, J. P., Green, P. J., Martin, R., & Suls, J. (1997). Differential roles of neuroticism, extraversion, and event desirability for mood in daily life: An integrative model of top-down and bottom-up influences. Journal of Personality and Social Psychology, 73(1), 149–159. https://doi.org/10.1037/0022-3514.73.1.149
- Donnellan, M. B., Oswald, F. L., Baird, B. M., & Lucas, R. E. (2006). The mini-IPIP scales: Tiny-yet-effective measures of the big five factors of personality. Psychological Assessment, 18(2), 192–203. https://doi.org/10.1037/1040-3590.18.2.192
- Faraci, P., Triscari, M. T., D’angelo, V., & Urso, V. (2011). Fear of flying assessment: A contribution to the Italian validation of two self-report measures. Review of Psychology, 18(2), 91–100.
- Federal Aviation Administration (FAA). (2019). Cabin safety. U.S. Department of Transportation. https://www.faa.gov/about/initiatives/cabin_safety/
- Ferrand, M., Ruffault, A., Tytelman, X., Flahault, C., & Négovanska, V. (2015). A cognitive and virtual reality treatment program for the fear of flying. Aerospace Medicine and Human Performance, 86(8), 723–727. https://doi.org/10.3357/AMHP.4211.2015
- Fornell, C., & Larcker, D. F. (1981). Evaluating structural equations with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
- Germine, L., Nakayama, K., Duchaine, B. C., Chabris, C. F., Chatterjee, G., & Wilmer, J. B. (2012). Is the Web as good as the lab? Comparable performance from Web and lab in cognitive/perceptual experiments. Psychonomic Bulletin & Review, 19(5), 847–857. https://doi.org/10.3758/s13423-012-0296-9
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2016). Multivariate data analysis (8th ed.). Prentice-Hall.
- IBM. (2020). IBM knowledge center factor analysis rotation. International Business Machines. Retrieved December 29, 2020, from https://www.ibm.com/support/knowledgecenter/SSLVMB_24.0.0/spss/base/idh_fact_rot.html
- Jermakian, J. S., & Weast, R. A. (2018). Passenger use of and attitudes toward rear seat belts. Journal of Safety Research, 64, 113–119. https://doi.org/10.1016/j.jsr.2017.12.006
- Kuo, C. W., & Jou, R. C. (2017). Willingness to pay for airlines’ premium economy class: The perspective of passengers. Journal of Air Transport Management, 59, 134–142. https://doi.org/10.1016/j.jairtraman.2016.12.005
- Lee, C. C., Wang, S. W., Hsu, M. K., & Jan, S. M. (2018). Air passenger’s perception toward pre-flight safety briefing videos: Does it matter? Journal of Air Transport Management, 72, 20–31. https://doi.org/10.1016/j.jairtraman.2018.07.004
- Lee, C. J., Geiger-Brown, J., & Beck, K. H. (2016). Intentions and willingness to drive while drowsy among university students: An application of an extended theory of planned behavior model. Accident Analysis and Prevention, 93, 113–123. https://doi.org/10.1016/j.aap.2016.05.002
- Lewis, M. A., Litt, D. M., King, K. M., Garcia, T. A., Waldron, K. A., & Lee, C. M. (2018). Consideration of future consequences as a moderator of the willingness-behavior relationship for young adult marijuana use and consequences. Addictive Behaviors, 87, 8–16. https://doi.org/10.1016/j.addbeh.2018.06.010
- Lu, C. S., & Yang, C. (2011). Safety climate and safety behavior in the passenger ferry context. Accident Analysis and Prevention, 43(1), 329–341. https://doi.org/10.1016/j.aap.2010.09.001
- Lu, J. L., & Shon, Z. Y. (2012). Exploring airline passengers’ willingness to pay for carbon offsets. Transportation Research Part D, 17(2), 124–128. https://doi.org/10.1016/j.trd.2011.10.002
- Lungwitz, E. A., Stuber, G. D., Johnson, P. L., Dietrich, A. D., Schartz, N., Hanrahan, B., Shekhar, A., & Truitt, W. A. (2014). The role of the medial prefrontal cortex in regulating social familiarity-induced anxiolysis. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology, 39(4), 1009–1019. https://doi:10.1038/npp.2013.302
- Medina-Muñoz, D. R., Medina-Muñoz, R. D., & Suárez-Cabrera, M. Á. (2018). Determining important attributes for assessing the attractiveness of airlines. Journal of Air Transport Management, 70, 45–56. https://doi.org/10.1016/j.jairtraman.2018.01.002
- Molesworth, B. R. C. (2014). Examining the effectiveness of pre-flight cabin safety announcements in commercial aviation. The International Journal of Aviation Psychology, 24(4), 300–314. https://doi.org/10.1080/10508414.2014.949511
- Molesworth, B. R. C., Pagan, J., & Wilcock, C. (2018). Pre-flight safety briefings: Understanding the relationship between mode of delivery, recall of key safety messages, and mood. The International Journal of Aerospace Psychology, 28(1–2), 1–14. https://doi.org/10.1080/24721840.2018.1479639
- Molesworth, B. R. C., Seneviratne, D., & Burgess, M. (2016). Selling safety: The use of celebrities in improving awareness of safety in commercial aviation. Ergonomics, 59(7), 989–994. https://doi.org/10.1080/00140139.2015.1109712
- Molesworth, B. R. C., Seneviratne, D., & Wilcock, C. (2019). Communicating safety information: Investigating how distractors affect the recall of key safety information in pre-flight safety briefings. Applied Ergonomics, 81, 1–9. https://doi.org/10.1016/j.apergo.2019.102899
- Muir, H. C., Bottomley, D. M., & Marrison, C. (1996). Effects of motivation and cabin configuration on emergency aircraft evacuation behavior and rates of egress. The International Journal of Aviation Psychology, 6(1), 57–77. https://doi.org/10.1207/s15327108ijap0601_4
- Nousi, A., Gerwen, L. V., & Spinhoven, P. (2008). The flight anxiety situations questionnaire and the flight anxiety modality questionnaire: Norms for people with fear of flying. Travel Medicine and Infectious Disease, 6(5), 305–310. https://doi.org/10.1016/j.tmaid.2008.06.001
- Nunnally, J. (1978). Psychometric theory (2nd ed.). McGraw Hill.
- Ortiz, J., Resnick, M. L., & Kengskool, K. (2000). The effects of familiarity and risk perception on workplace warning compliance. Proceedings of the IEA 2000/HFES 2000 Congress, 28, 4–826–4-829. https://doi.org/10.1177/1541931200044028115
- Oz, H. (2014). Big five personality traits and wiliness to communicate among foreign language learners in Turkey. Social Behavior and Personality, 42(9), 1473–1482. https://doi.org/10.2224/sbp.2014.42.9.1473
- Pan, J. Y. & Truong, D. (2018). Passengers' intentions to use low-cost carriers: An extended theory of planned behavior. Journal of Air Transport Management, 69, 38–48.
- Pan, J. Y., & Truong, D. (2019). Understanding high-speed rail passengers in China: A segmentation approach. Transportation Research Record, 2673(4), 877–888. https://doi.org/10.1177/0361198119834914
- Park, J. Y., Back, R. M., Bufquin, D., & Shapoval, V. (2019). Servicescape, positive affect, satisfaction and behavioral intentions: The moderating role of familiarity. International Journal of Hospitality Management, 78, 102–111. https://doi.org/10.1016/j.ijhm.2018.11.003
- Picazo-Vela, S., Chou, S. Y., Melcher, A. J., & Pearson, J. M. (2010). Why provide an online review? An extended theory of planned behavior and the role of big-five personality traits. Computers in Human Behavior, 26(4), 685–696. https://doi.org/10.1016/j.chb.2010.01.005
- Rice, S., & Winter, S. R. (2019). Do gender and age affect willingness to ride in driverless vehicles: If so, then why? Technology in Society, 58, 1–7. https://doi.org/10.1016/j.techsoc.2019.101145
- Rice, S., & Winter, S. R. (2020). A practical guide for using electronic surveys in aviation research: Best practices explained. The International Journal of Aviation, Aeronautics, and Aerospace, 7(2), 1–21. https://doi.org/10.15394/ijaaa.2020.1457
- Rice, S., Winter, S. R., Capps, J., Trombley, J., Robbins, J., Milner, M., & Lamb, T. L. (2020). Creation of two valid scales: Willingness to fly in an aircraft and willingness to pilot an aircraft. The International Journal of Aviation, Aeronautics, and Aerospace, 7(1), 1–21. https://doi.org/10.15394/ijaaa.2020.1440
- Rice, S., Winter, S. R., Doherty, S., & Milner, M. N. (2017). Advantages and disadvantages of using internet-based survey methods in aviation-related research. Journal of Aviation Technology and Engineering, 7(1), 58–65. https://doi.org/10.7771/2159-6670.1160
- Rice, S., Winter, S. R., Mehta, R., & Ragbir, N. K. (2019). What factors predict the type of person who is willing to fly in an autonomous commercial airplane? The Journal of Air Transport Management, 75, 131–138. https://doi.org/10.1016/j.jairtraman.2018.12.008
- Sanz-Blas, S., Buzova, D., & Carvajal-Trujillo, E. (2019). Familiarity and visit characteristics as determinants of tourists’ experience at a cruise destination. Tourism Management Perspectives, 30, 1–10. https://doi.org/10.1016/j.tmp.2019.01.005
- Seneviratne, D., & Molesworth, B. R. C. (2015). Employing humour and celebrities to manipulate passengers’ attention to pre-flight safety briefing videos in commercial aviation. Safety Science, 75, 130–135. https://doi.org/10.1016/j.ssci.2015.01.006
- Shirvan, M. E., & Talebzadeh, N. (2017). English as a foreign language learners’ anxiety and interlocutors’ status and familiarity: An idiodynamic perspective. Polish Psychological Bulletin, 48(4), 489–503. http://dx.doi.org.ezproxy.libproxy.db.erau.edu/10.1515/ppb-2017-0056
- Söderlund, M. (2002). Customer familiarity and its effects on satisfaction and behavioral intentions. Psychology & Marketing, 19(10), 861–879. https://doi.org/10.1002/mar.10041
- Sorić, I., Penezić, Z., & Burić, I. (2017). The big five personality traits, goal orientations, and academic achievement. Learning and Individual Differences, 54, 126–134. https://doi.org/10.1016/j.lindif.2017.01.024
- Swami, V., Chamorro-Premuzic, T., & Furnham, A. (2009). Faking it: Personality and individual difference predictors of willingness to buy counterfeit goods. The Journal of Socio-Economics, 38(5), 820–825. https://doi.org/10.1016/j.socec.2009.03.014
- Truong, D. (2019). Distrust issues in business-to-business e-procurement decisions. Journal of Enterprise Information Management, 32(6), 1071–1088. https://doi.org/10.1108/JEIM-01–2019-0020
- Van Gerwen, L. J., Spinhoven, P., Van Dyck, R., & Diekstra, R. F. W. (1999). Construction and psychometric characteristics of two self-report questionnaires for the assessment of fear of flying. Psychological Assessment, 11(2), 146–158. https://doi.org/10.1037/1040-3590.11.2.146
- van Giesen, R. I., Fischer, A. R. H., van Dijk, H., & van Trijp, H. C. M. (2015). Affect and cognition in attitude formation toward familiar and unfamiliar attitude objects. PLoS ONE, 10(10), e0141790. https://doi:10.1371/journal.pone.0141790
- Winter, S. R., & Trombley, J. (2019). A prediction model for the type of consumer willing to travel to and live on Mars. International Journal of Aviation Research, 11(1), 36–56. https://ojs.library.okstate.edu/osu/index.php/IJAR/article/view/7922
- Woo, M. (2019). Assessing customer citizenship behaviors in the airline industry: Investigation of service quality and value. Journal of Air Transport Management, 76, 40–47. https://doi.org/10.1016/j.jairtraman.2019.02.006
- Yazdanpanah, M., & Hosseinlou, M. H. (2017). The role of personality traits through habit and intention on determining future preferences of public transport use. Behavioral Sciences, 7(1), 1–15. https://doi.org/10.3390/bs7010008