Modeling the repatronage behavior of business airline travelers

被引:19
作者
Harris, Jennifer [1 ]
Uncles, Mark [1 ]
机构
[1] Univ New S Wales, Kensington, NSW 2033, Australia
关键词
airline repatronage; frequent fliers; consumer panel data; probit modeling; state dependence; heterogeneity;
D O I
10.1177/1094670507299379
中图分类号
F [经济];
学科分类号
02 ;
摘要
A central theme in brand choice is the modeling of the drivers of repatronage behavior. The work reported here focuses on a particular service context-airline repatronage. The distinct problems of model specification in this context are discussed. Various models of airline repatronage are estimated using random effects probit modeling. It is found that although performance perceptions and punctuality of the airline have a role to play, in particular in terms of choice on the next purchase occasion, past purchase behavior is the key driver of repatronage. This is evident across the various models that we examine, suggesting that the findings are robust. Implications of the modeling approach and the findings are briefly discussed in relation to the airline context and service marketing more generally.
引用
收藏
页码:297 / 311
页数:15
相关论文
共 56 条
[31]  
HENSHER DA, 1995, EVALUATIONS FARE ELA
[32]   Determining flight frequencies on an airline network with demand-supply interactions [J].
Hsu, CI ;
Wen, YH .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2003, 39 (06) :417-441
[33]  
*IATA WATS, 2005, BRIT AIRW FACT BOOK
[34]  
Israel M, 2005, RAND J ECON, V36, P165
[35]   A RANDOM-COEFFICIENTS LOGIT BRAND-CHOICE MODEL APPLIED TO PANEL-DATA [J].
JAIN, DC ;
VILCASSIM, NJ ;
CHINTAGUNTA, PK .
JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 1994, 12 (03) :317-328
[36]  
JOHNSTON M, 2003, MONEY 1205
[37]   CALCULATION METHODS FOR REACTING TURBULENT FLOWS - A REVIEW [J].
JONES, WP ;
WHITELAW, JH .
COMBUSTION AND FLAME, 1982, 48 (01) :1-26
[38]  
Kaydo C, 1999, SALES MARK MANAG, V151, P97
[40]  
Li M, 2000, J Infect Chemother, V6, P65