The Impact of Firm Size and Business Strategy on Response to Service Disruptions: Evidence From the US Domestic Airline Industry

被引:3
作者
Parast, Mahour [1 ]
Golmohammadi, Davood [2 ]
机构
[1] Arizona State Univ, Ira A Fulton Sch Engn, Tempe, AZ 85281 USA
[2] Univ Massachusetts, Dept Management Sci & Informat Syst, Boston, MA 02125 USA
关键词
Logistics; Delays; Industries; Atmospheric modeling; Transportation; Resilience; Business strategy; disruptions; firm size; service quality; DECISION-SUPPORT TOOL; PERFORMANCE; VULNERABILITY; RECOVERY; NETWORK; PERSPECTIVE; RESILIENCE;
D O I
10.1109/TEM.2020.2994828
中图分类号
F [经济];
学科分类号
02 ;
摘要
In this article, data from the U.S. domestic airline industry to examine the impact of firm size and business strategy on the effect of service disruptions (cancellations and delays) on service quality (customer dissatisfaction) is used. We test our hypotheses by fitting fixed-effects models to longitudinal data obtained from the U.S. Department of Transportation. The findings suggest that there is a significant relationship between service disruptions and service quality. The results show that both airline size and airline business strategy have moderating impacts on the relationship between service disruptions and service quality. We find the negative impacts of delays and cancellations on service quality are more pronounced for network airlines than for low-cost airlines. The impact of service disruptions on service quality is less significant for larger airlines when the rate of cancellations is low. As the rate of cancellations increases, the service quality of larger airlines is increasingly affected, and the effect is more pronounced compared to the effect on the smaller airlines, suggesting a moderating impact of firm size. Overall, our empirical results show that the relationship between service disruptions and service quality is being moderated by both a firm's size and a firm's business strategy.
引用
收藏
页码:1944 / 1957
页数:14
相关论文
共 68 条
[1]   A Proactive crew recovery decision support tool for commercial airlines during irregular operations [J].
Abdelghany, A ;
Ekollu, G ;
Narasimhan, R ;
Abdelghany, K .
ANNALS OF OPERATIONS RESEARCH, 2004, 127 (1-4) :309-331
[2]   An integrated decision support tool for airlines schedule recovery during irregular operations [J].
Abdelghany, Khaled F. ;
Abdelghany, Ahmed F. ;
Ekollu, Goutham .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2008, 185 (02) :825-848
[3]   Error and attack tolerance of complex networks [J].
Albert, R ;
Jeong, H ;
Barabási, AL .
NATURE, 2000, 406 (6794) :378-382
[4]   THE EFFECTS OF FIRM SIZE ON PROFIT RATES IN UNITED-STATES MANUFACTURING [J].
AMATO, L ;
WILDER, RP .
SOUTHERN ECONOMIC JOURNAL, 1985, 52 (01) :181-190
[5]  
Amato L.H., 2004, J RETAIL CONSUM SERV, V11, P181, DOI [DOI 10.1016/S0969-6989(03)00036-5, 10.1016/S0969-6989(03)00036-5]
[6]  
[Anonymous], 2007, Environmental Hazards, DOI [10.1016/j.envhaz.2007.10.001, DOI 10.1016/J.ENVHAZ.2007.10.001]
[7]  
[Anonymous], 2008, MONOGRAPH POSTGRADUA
[8]  
[Anonymous], 2014, BLOOMBERG VIEW
[9]  
[Anonymous], 2011, APPL LONGITUDINAL DA
[10]  
[Anonymous], 2002, TRANSPORT POLICY, DOI DOI 10.1016/S0967-070X(02)00011-2