• No results found

DISCUSSION AND CONCLUSION

In document Full Issue (27.2, Winter 2017) (Page 70-78)

This study comprehensively examined a number of airline ancillary services and factors that may

influence the purchase of them on international flights to or from the United States. In the investigation of ancillary services, we answered: 1) which ancillary services should airlines sell and to whom should they sell on U.S. international flights, and 2) can airlines use intention to purchase to predict if customers will purchase ancillary services on U.S. international flights.

As with the finding in Leon and Uddin (2017), answering these questions has several managerial applications. First, the findings can assist airline management in developing current and prospective ancillary services. Second, the findings can assist in developing associated sales, marketing, and training strategies, leading to increases in revenue. Taking a keen approach to sales and marketing efforts toward customers who are most likely to purchase ancillary services, airlines can increase revenue and reduce the risk of new ancillary service

implementation.

Such a pointed approach enables a better

understanding of the passengers’ traits that lead to ancillary purchases, and which ancillary services customers are willing to purchase. Generally though, passengers are not fond of purchasing ancillary services in the first place. However, compared to the U.S. domestic airline study by Leon and Uddin (2017), this study found that passengers on

international flights have higher intention scores. Thus, international passengers are more likely to purchase ancillary services on longer flights. This study also found that the number of domestic and international flights a passenger flies in a year and trip purpose were significant factors when examining intention to purchase ancillary services. Moreover, the significance of these factors change based on the ancillary service in question. Thus, some passengers show a clear preference for certain ancillary

services.

When actual ancillary service purchase behavior was investigated, this study found that, the number of domestic and international flights a passenger flies in a year, trip purpose, and to a lesser extent income levels and age, were significant factors. Our results show that gender is not a significant factor in predicting intent to purchase or the actual purchase of ancillary services. In their daily lives, Generation Y/Millennial behave differently than older

generations in many ways. However, we found that this is not true in the case of purchasing airline services.

If passengers are grouped together and asked which ancillary services they have purchased or are likely

to purchase, onboard meals, onboard Wi-Fi, and extra legroom rank higher than others. However, without taking the analysis further we lose some of the heterogeneity among passengers, and airlines might be leaving money on the table. For example, passengers who have flown more than five domestic flights in a year are more likely to purchase extra legroom and Wi-Fi than those who have flown fewer flights. Moreover, while paying extra for aisle seats, seats in front of the airplane, and reserved overhead space does not appear high on the list of ancillary purchases, passengers who have flown three or more domestic flights or two or more international flights are more likely to purchase these ancillary services.

Given these insights, airlines now have a path to increasing revenue per passenger by narrowly focusing on which passengers are most likely to purchase a specific ancillary service. Airlines can provide information and training to front line

employees such as gate and reservation agents, and flight attendants in the identification of more likely buyers, and sales techniques where they can offer the most relevant ancillary services, at the

appropriate time, and to the most appropriate customers.

This study also supports the belief that intent to purchase ancillary services predicts actual purchases behavior of ancillary services. This is important because it provides an opportunity to reduce the risk of implementing new ancillary services. If airlines survey customers and non-customers about their intention to purchase certain ancillary services, the airline gains valuable information about whether passengers will purchase the ancillary service, prior to any significant investment or asset allocation. This study followed the same approach as Donald, Cooper and Conchie (2014), Stran et al. (2016), and Leon and Uddin (2017) where intention and behavior were measured at the same time. However, a longitudinal study could reaffirm our results. Additionally, potential studies could include other factors that might influence ancillary purchases such as traveling in groups or families, or whether passengers are frequent fliers or not.

REFERENCES

Ajzen, I (1991), “The Theory of Planned Behavior,”

Organizational Behavior and Human Decision Processes, 50: 179-211.

Ajzen, I. and B.L., Driver (1992), “Application of the Theory of Planned Behavior to Leisure Choice,”

Journal of Leisure Research, 24(3): 207-224.

Balcombe, K., I. Fraser, and L. Harris (2009), “Consumer Willingness to Pay For In-Flight Service and Comfort Levels: A Choice Experiment,”

Journal of Air Transport Management, 15(5):

221–226.

Bamberg, S., I. Ajzen, and P. Schmidt (2003), “Choice of Travel Mode in the Theory of Planned Behavior: The Roles of Past Behavior, Habit, and Reasoned Action,” Basic and Applied Social

Psychology, 25(3): 175–187.

Boynton M.H. and L.S. Richman (2014) “An Online Daily Diary Study of Alcohol Use Using Amazon’s Mechanical Turk,” Drug and Alcohol

Review, 33: 456–461.

Brozyna, J., G. Mentel, and T. Pisula (2016), “Statistical Methods of the Bankruptcy Prediction in the Logistics Sector in Poland and Slovakia,”

Transformations in Business & Economics,

15(37): 93–114.

Brier, G. (1950), “Verification of Forecasts Expressed in Terms of Probability,” Monthly

Weather Review, 78: 1–3.

Buhrmester, M., T. Kwang, and S.D. Gosling (2011), “Amazon’s Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data,”

Perspectives on Psychological Science, 6(1): 3–

5.

Bukszar, E. (2003), “Does Overconfidence Lead to Poor Decisions? A Comparison of Decision Making and Judgment Under Uncertainty,” Journal of

Business and Management, 9(1): 33-43.

Chaney, R.A., A.L. Bernard, and B.R.A. Wilson (2013), “Characterizing Active Transportation Behavior Among College Students Using the Theory of Planned Behavior,” International Quarterly of

Community Health Education, 34(3): 283-294.

Chen, C.F. and T.F. Wu (2009), “Exploring Passenger Preferences in Airline Service Attributes: A Note,” Journal of Air Transport Management, 15: 52–53.

Chen, H.Y. W., D. Birsen, L. Hoekstra-Atwood, and S. Marulanda (2016), “Self-Reported

Engagement in Driver Distraction: An Application of the Theory of Planned Behavior,” Transportation

Research Part F, 38: 151–163.

Correia, A., A. PimpaÞo, and M. TaÞo (2012), “Willingness to Pay for Frills When Travelling with Low-Cost Airlines,” Tourism Economics, 18(6): 1161–1174.

Dedeke, A. (2016), “Travel Web-Site Design: Information Task-Fit, Service Quality and Purchase Intention,” Tourism Management, 54: 541–554. Donald, I. J., S.R. Cooper, and S.M. Conchie (2014), “An Extended Theory of Planned Behaviour Model of the Psychological Factors Affecting Commuters’ Transport Mode Use,”

Journal of Environmental Psychology, 40: 39-48.

Espino, R., J.C. Martiìn, and C. Romaìn (2008), “Analyzing the Effect of Preference Heterogeneity on Willingness to Pay for Improving Service Quality in an Airline Choice Context,” Transportation

Research Part E, 44(4): 593–606.

Fishbein, M. and I. Ajzen (1975), Belief, Attitude,

Intention, and Behavior: An Introduction to Theory and Research, Reading, MA: Addison-

Wesley.

Garrow, L.A., S. Hotle, and S. Mumbower (2012), “Assessment of Product Debundling Trends in the US Airline Industry: Customer Service and Public Policy Implications,” Transportation Research

Germine, L., K. Nakayama, B.C. Duchaine, C.F. Chabris, G. Chatterjee, and J.B. Wilmer (2012), “Is The Web as Good as the Lab? Comparable

Performance From Web and Lab in Cognitive/ Perceptual Experiments,” Psychonomic Bulletin

and Review, 19: 847–857.

Hair, J., W. Black, B. Babin, R. Anderson, and R. Tatham (2006), Multivariate Data Analysis. 6th

ed., Upper Saddle River, NJ: Pearson Prentice Hall. Harris, J. and M. Uncles (2006), “Modeling the Repatronage Behavior of Business Airline Travelers,” Journal of Service Research, 9(4): 297-311.

Holden, C.J., T. Dennie, and A.D. Hicks (2013), “Assessing the Reliability of the M5-120 on Amazon’s Mechanical Turk,” Computers in

Human Behavior, 29: 1749–1754.

Krupa, J.S., D.M Rizzo, M.J. Eppstein, D.B. Lanute, D.E. Gaalema, K. Lakkaraju, and C.E. Warrender (2014), “Analysis of a Consumer Survey on Plug-in Hybrid Electric Vehicles,”

Transportation Research Part A, 64: 14–31.

Lee, D. and M.J. Luengo-Prado (2004), “Are Passengers Willing to Pay More for Additional Legroom?” Journal of Air Transport

Management, 10: 377–383.

Leon, S., and N. Uddin (2016), “Finding Supply Chain Talent: An Outreach Strategy,” Supply Chain

Management: An International Journal, 21(1):

20-44.

Leon, S., and N. Uddin (2017), “Airline Ancillary Services: An Investigation into Passenger Purchase Behavior,” Journal of the Transportation

Research Forum, Forthcoming.

Martin, J.C., C. Romaìn, and R. Espino (2008), “Willingness to Pay for Airline Service Quality,”

Transport Reviews, 28(2): 199–217.

Mumbower, S., L.A. Garrow, and J.P. Newman (2015), “Investigating Airline Customers’ Premium Coach Seat Purchases and Implications for Optimal Pricing Strategies,” Transportation Research Part

A, 73: 53–69.

Munzel, A. (2016), “Assisting Consumers in Detecting Fake Reviews: The Role of Identity Information Disclosure and Consensus,” Journal of

Retailing and Consumer Services, 32: 96–108.

Nunnelly, J.C. (1978), Psychometric Theory. 2nd

ed., New York: McGraw-Hill.

O’Connell, J.F. and D. Warnock-Smith (2013), “An Investigation into Traveler Preferences and Acceptance Levels of Airline Ancillary Revenues,”

Journal of Air Transport Management, 33: 12-

21.

Ødegaard, F. and J.G. Wilson (2016), “Dynamic Pricing of Primary Products and Ancillary Services,”

European Journal of Operational Research, 251:

586–599.

Pew Research Center (2011), “The Generation Gap and the 2012 Election.” Available at: http://

www.people-press.org/2011/11/03/the-generation- gap-and-the-2012-election-3/, Accessed: 11/12/ 2015.

Podsakoff, P.M., S.B. MacKenzie, J.Y. Lee, and N.P. Podsakoff (2003), “Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies,” Journal

of Applied Psychology, 88(5): 879–903.

Schniederjans, D.G. and C.M. Starkey (2014), “Intention and Willingness to Pay for Green Transportation: An Empirical Examination,”

Transportation Research Part D, 31: 116–125.

Stran, K.A., L.L. Knol, K. Severt, and J.C. Lawrence (2016), “College Students’ Intentions to Use Calorie Information on a Restaurant Menu: Application of the Theory of Planned Behavior,”

American Journal of Health Education, 47(4):

215–223.

Teichert, T., E. Shehu, and I. von Wartburg (2008), “Customer Segmentation Revisited: The Case of The Airline Industry,” Transportation Research

Part A, 42: 227–242.

US Department of Transportation, Bureau of Transportation Statistics (2017), Baggage Fees. Available at: https://www.rita.dot.gov/bts/sites/ rita.dot.gov.bts/files/subject_areas/

airline_information/baggage_fees/html/2016.html., Accessed: 4/25/17.

Winter, S.R., S. Rice, T. Rains, and M. Milner (2017), “A Longitudinal Study on the Alteration of Consumer Perceptions and the Use of Pilot Medication,” Journal of Air Transport

Management, 59: 100-106.

Wittmer, A., A. Gerber, and P. Boksberger (2012), “The Future of Ancillary Service Fees in Air Travel: An Exploratory Investigation of Budget Air

Travelers,” International Journal of Aviation

Management, 1(4): 231-241.

Wittmer, A., and E. Rowley (2014), “Customer Value of Purchasable Supplementary Services: The Case of a European Full Network Carrier’s Economy Class,” Journal of Air Transport

BIOGRAPHIES

Steven Leon is an Assistant Professor of Supply Chain Management in the CIS and SCM Department of

the Walker College of Business, Appalachian State University. His research interests are in the areas of air transportation, global supply chain strategy, and service operations. His research has appeared in SCM: An International Journal, International Journal of Logistics Management, Transportation Journal, and Journal of the Transportation Research Forum. His PhD is in Transportation and Logistics from North Dakota State University and his MBA is in International Business from Loyola University Maryland. E-Mail:

[email protected]

Nizam Uddin is a Professor at the Statistics Department of University of Central Florida. He earned his

BSc and MSc in Statistics, both from Dhaka University, Bangladesh and MSc in Mathematics from the University of Saskatchewan. He completed his PhD in Statistics at Old Dominion University. His refereed articles have appeared in a variety of core statistics journals including Biometrika, Annals of Statistics, Journal of Statistical Planning and Inference, Communications in Statistics, and in many other applied journals in Psychology, Transportation, Health Care, and Environmental Science areas. E-Mail: [email protected]

Guidelines for Journal of Transportation Management

In document Full Issue (27.2, Winter 2017) (Page 70-78)