Comparisons of service quality perceptions between full service carriers and low cost carriers in airline travel

ABSTRACT We apply latent Dirichlet allocation topic modeling to a vast number of passenger-authored online reviews for airline services to compare service quality between full service carriers (FSCs) and low cost carriers (LCCs). Representing key features of airline service quality, topics are extracted from the reviews and matched to the five typical dimensions used by the SERVQUAL model. Based on the measure of word frequency statistically distributed to topics, we quantitatively determine the dimensions of service quality that are deemed as most essential by travelers. The results show that the most significant dimensions for FSCs and LCCs are tangibles and reliability, respectively. The least significant dimensions are assurance and empathy, respectively. By comparing extracted features in detail, we discover specific differences in traveler perceptions between FSCs and LCCs. Air carriers should be aware of these differences, as it would help them better differentiate themselves. Moreover, inflight meal services and seats, which have typically been regarded as tangible features, are subdivided into different topics, and the subdivisions are simultaneously matched to multiple dimensions (eg tangibles, empathy, and reliability). This suggests that research needs to reflect the diverse aspects of traveler perceptions for primary service items.

[1]  Walid Maalej,et al.  How Do Users Like This Feature? A Fine Grained Sentiment Analysis of App Reviews , 2014, 2014 IEEE 22nd International Requirements Engineering Conference (RE).

[2]  K. Grønhaug,et al.  Industry specific measurement of consumer satisfaction: experiences from the business travelling industry , 1999 .

[3]  W. Bruce Croft,et al.  LDA-based document models for ad-hoc retrieval , 2006, SIGIR.

[4]  Pei Pei Tan,et al.  Gaining customer knowledge in low cost airlines through text mining , 2014, Ind. Manag. Data Syst..

[5]  Simone Gitto,et al.  Brand perceptions of airports using social networks , 2019, Journal of Air Transport Management.

[6]  John F. O'Connell,et al.  An investigation into traveler preferences and acceptance levels of airline ancillary revenues , 2013 .

[7]  Chih-Ping Wei,et al.  Understanding what concerns consumers: a semantic approach to product feature extraction from consumer reviews , 2010, Inf. Syst. E Bus. Manag..

[8]  Nigel Dennis Old conflicts, new rivals? Airline competition in the European market , 2010 .

[9]  Rebecca Jen-Hui Wang,et al.  Automated Text Analysis for Consumer Research , 2018 .

[10]  Chung-Hsing Yeh,et al.  A survey analysis of service quality for domestic airlines , 2002, Eur. J. Oper. Res..

[11]  T. O'Brien,et al.  Service Quality and Customer Loyalty in the Commercial Airline Industry , 1993 .

[12]  Darin Lee,et al.  ARE PASSENGERS WILLING TO PAY MORE FOR ADDITIONAL LEGROOM , 2004 .

[13]  Fariba Alamdari,et al.  Impact of the adherence to the original low‐cost model on the profitability of low‐cost airlines , 2005 .

[14]  K N Gourdin,et al.  Identifying service gaps in commercial air travel : the first step toward quality improvement , 1991 .

[15]  Eric T. Bradlow,et al.  Automated Marketing Research Using Online Customer Reviews , 2011 .

[16]  Heesup Han,et al.  In-flight physical surroundings: quality, satisfaction, and traveller loyalty in the emerging low-cost flight market , 2017 .

[17]  F. Okumus,et al.  Understanding Satisfied and Dissatisfied Hotel Customers: Text Mining of Online Hotel Reviews , 2016 .

[18]  Enrique Bigné,et al.  How motivation, opportunity and ability can drive online airline ticket purchases , 2010 .

[19]  Henriqueta Nóvoa,et al.  Exploring Online Travel Reviews Using Data Analytics: An Exploratory Study , 2017 .

[20]  Hing Kai Chan,et al.  A multi-group analysis of social media engagement and loyalty constructs between full-service and low-cost carriers in Hong Kong , 2018, Journal of Air Transport Management.

[21]  Thomas L. Griffiths,et al.  Probabilistic Topic Models , 2007 .

[22]  Yue Guo,et al.  Mining Meaning from Online Ratings and Reviews : Tourist Satisfaction Analysis Using Latent Dirichlet Allocation , 2016 .

[23]  Bin Gu,et al.  Do online reviews matter? - An empirical investigation of panel data , 2008, Decis. Support Syst..

[24]  D. Gillen,et al.  Bundling, integration and the delivered price of air travel: are low cost carriers full service competitors? , 2003 .

[25]  R. Rajaguru Role of value for money and service quality on behavioural intention: A study of full service and low cost airlines , 2016 .

[26]  Safak Aksoy,et al.  AIRLINE SERVICES MARKETING BY DOMESTIC AND FOREIGN FIRMS: DIFFERENCES FROM THE CUSTOMERS' VIEWPOINT , 2003 .

[27]  Gwo-Guang Lee,et al.  Customer perceptions of e‐service quality in online shopping , 2005 .

[28]  Meng Wang,et al.  Aspect Ranking: Identifying Important Product Aspects from Online Consumer Reviews , 2011, ACL.

[29]  L. F. Cunningham,et al.  Assessing Service Quality as an Effective Management Tool: The Case of the Airline Industry , 1994 .

[30]  Gabriele Piccoli,et al.  Online Reviews as a Measure of Service Quality , 2016 .

[31]  John D. Lafferty,et al.  A correlated topic model of Science , 2007, 0708.3601.

[32]  David Baker,et al.  Service Quality and Customer Satisfaction in the Airline Industry: A Comparison between Legacy Airlines and Low-Cost Airlines , 2013 .

[33]  Hongwei Jiang,et al.  Service quality of low-cost long-haul airlines – The case of Jetstar Airways and AirAsia X , 2013 .

[34]  F. Pakdil,et al.  Expectations and perceptions in airline services: An analysis using weighted SERVQUAL scores , 2007 .

[35]  Chrysanthos Dellarocas,et al.  Exploring the value of online product reviews in forecasting sales: The case of motion pictures , 2007 .

[36]  S. Ison,et al.  The transferability of the low-cost model to long-haul airline operations. , 2007 .

[37]  David Schuff,et al.  What Makes a Helpful Review? A Study of Customer Reviews on Amazon.com , 2010 .

[38]  Rahim Hussain,et al.  Service quality and customer satisfaction of a UAE-based airline: An empirical investigation , 2015 .

[39]  L. Hunter,et al.  Low Cost Airlines:: Business Model and Employment Relations , 2006 .

[40]  Sheng-Hshiung Tsaur,et al.  The evaluation of airline service quality by fuzzy MCDM. , 2002 .

[41]  F. Misopoulos,et al.  Uncovering customer service experiences with Twitter: the case of airline industry , 2014 .

[42]  R. Robertson,et al.  Investigating the effects of airline service quality on airline image and passengers' future behavioural intentions: findings from Australian international air passengers. , 2005 .

[43]  Service Quality in the Airline Industry: Comparison Between Traditional and Low-Cost Airlines , 2011 .

[44]  M. Wittman Are low-cost carrier passengers less likely to complain about service quality? , 2014 .

[45]  Bing Liu,et al.  Mining and summarizing customer reviews , 2004, KDD.

[46]  Kurt Hornik,et al.  Text Mining Infrastructure in R , 2008 .

[47]  A. Parasuraman,et al.  SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. , 1988 .

[48]  Y. Kim,et al.  Customer satisfaction using low cost carriers , 2011 .

[49]  Seoki Lee,et al.  Synergy of corporate social responsibility and service quality for airlines: The moderating role of carrier type , 2015 .

[50]  C. R. Kothari,et al.  Research Methodology: Methods and Techniques , 2009 .

[51]  D. G. Newman,et al.  Investigating the Effectiveness of Repositioning Strategies: The Customers’ Perspective , 2016 .

[52]  Rohit Aggarwal,et al.  Differential Influence of Blogs Across Different Stages of Decision Making: The Case of Venture Capitalists , 2013, MIS Q..

[53]  James E. Bartlett,et al.  Organizational research: Determining appropriate sample size in survey research , 2001 .

[54]  B. Lubbe,et al.  Determinants of selection of full-service airlines and low-cost carriers—A note on business travellers in South Africa , 2006 .

[55]  D. Blei,et al.  Exploiting affinities between topic modeling and the sociological perspective on culture: Application to newspaper coverage of U.S. government arts funding , 2013 .

[56]  Theingi,et al.  Service quality, satisfaction, and behavioural intentions , 2009 .

[57]  Rico Merkert,et al.  Barriers to entry into European aviation markets revisited: A review and analysis of managerial perceptions , 2013 .

[58]  P. O'Connor Managing a Hotel's Image on TripAdvisor , 2010 .

[59]  Peter Morrell,et al.  Can long-haul low-cost airlines be successful? , 2008 .

[60]  John F. O’connell,et al.  Passengers' perceptions of low cost airlines and full service carriers - A case study involving Ryanair, Aer Lingus, Air Asia and Malaysia Airlines , 2005 .

[61]  Chunyan Yu,et al.  Assessment of airport service quality: A complementary approach to measure perceived service quality based on Google reviews , 2018, Journal of Air Transport Management.

[62]  G. R. Fick,et al.  Measuring Service Quality in the Travel and Tourism Industry , 1991 .

[63]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[64]  K. Balcombe,et al.  Consumer willingness to pay for in-flight service and comfort levels: A choice experiment , 2009 .

[65]  Alok N. Choudhary,et al.  Voice of the Customers: Mining Online Customer Reviews for Product Feature-based Ranking , 2010, WOSN.

[66]  D. Gilbert,et al.  PASSENGER EXPECTATIONS AND AIRLINE SERVICES: A HONG KONG BASED STUDY , 2003 .

[67]  Gwo-Hshiung Tzeng,et al.  A modified VIKOR multiple-criteria decision method for improving domestic airlines service quality , 2011 .

[68]  David Schuff,et al.  What Makes a Helpful Review? A Study of Customer Reviews on Amazon.com , 2010 .

[69]  Yu-Chiun Chiou,et al.  Factors Influencing the Intentions of Passengers Regarding Full Service and Low Cost Carriers: A Note , 2010 .

[70]  Juan Carlos Martín,et al.  Social media as a resource for sentiment analysis of Airport Service Quality (ASQ) , 2019, Journal of Air Transport Management.

[71]  Jin-woo Park,et al.  The effect of airline service quality on passengers' behavioural intentions: a Korean case study , 2004 .

[72]  Rafael Currás-Pérez,et al.  Antecedents and Consequences of Consumer Commitment in Traditional and Low-Cost Airlines , 2016 .

[73]  Nigel Dennis,et al.  End of the Free Lunch? the Responses of Traditional European Airlines to the Low-Cost Carrier Threat , 2007 .

[74]  David Godes,et al.  Using Online Conversations to Study Word-of-Mouth Communication , 2004 .

[75]  Simone Gitto,et al.  Improving airport services using sentiment analysis of the websites , 2017 .

[76]  Srinagesh Gavirneni,et al.  Understanding Online Hotel Reviews Through Automated Text Analysis , 2016 .

[77]  Panagiotis G. Ipeirotis,et al.  Show me the money!: deriving the pricing power of product features by mining consumer reviews , 2007, KDD '07.

[78]  Mateja Kos Koklic,et al.  An investigation of customer satisfaction with low-cost and full-service airline companies , 2017 .

[79]  Dipasis Bhadra,et al.  Race to the bottom or swimming upstream: Performance analysis of US airlines , 2008, Journal of Air Transport Management.

[80]  M. Royo-Vela,et al.  Segmentation of low-cost flights users at secondary airports , 2010 .

[81]  Lei Zhang,et al.  A Survey of Opinion Mining and Sentiment Analysis , 2012, Mining Text Data.