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A Text Analytics-Based Importance Performance Analysis and Its Application to Airline Service

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  • Seungju Nam

    (School of Business, Korea Aerospace University, Goyang-si 10540, Korea)

  • Hyun Cheol Lee

    (School of Business, Korea Aerospace University, Goyang-si 10540, Korea)

Abstract

We introduce a new importance-performance analysis (IPA) methodology while making use of direct service experience perceptions represented by online reviews with numerical ratings. The proposed IPA, which we call the text analytics-based IPA (TAIPA), allows the real-time calculation of importance using the probability distribution of word frequency via the latent Dirichlet allocation (LDA) application to online reviews, and of performance using numerical rating values. The importance is also adjusted with the help of a sentiment analysis of online reviews to provide more precise measurements for service experience perceptions. To ensure an evaluation of the entire service process, we employ service encounters, in which service experiences occur and thus most customer perceptions are created, as a set of attributes composed of LDA topics that contain direct perceptions of service experiences. We investigate statistical correlations between TAIPA calculations and typical benchmarks of firm performance in the air-transport industry to verify how effective the proposed TAIPA is with respect to the degree that customer satisfaction is represented. As a primary result, TAIPA is more effective than comparison targets in that it shows stronger correlations with firm performance. TAIPA is specialized in determining which service step (i.e., a one-to-one relationship with a service encounter) needs to be improved. Moreover, TAIPA is flexible in considering multiple competitors.

Suggested Citation

  • Seungju Nam & Hyun Cheol Lee, 2019. "A Text Analytics-Based Importance Performance Analysis and Its Application to Airline Service," Sustainability, MDPI, vol. 11(21), pages 1-24, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:6153-:d:283447
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    1. Cobeña, Mar & Gallego, à ngeles & Casanueva, Cristóbal, 2019. "Diversity in airline alliance portfolio configuration," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 16-26.
    2. Martin-Domingo, Luis & Martín, Juan Carlos & Mandsberg, Glen, 2019. "Social media as a resource for sentiment analysis of Airport Service Quality (ASQ)," Journal of Air Transport Management, Elsevier, vol. 78(C), pages 106-115.
    3. Tsafarakis, Stelios & Kokotas, Theodosios & Pantouvakis, Angelos, 2018. "A multiple criteria approach for airline passenger satisfaction measurement and service quality improvement," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 61-75.
    4. Azzopardi, Ernest & Nash, Robert, 2013. "A critical evaluation of importance–performance analysis," Tourism Management, Elsevier, vol. 35(C), pages 222-233.
    5. Kurt Matzler & Elmar Sauerwein & Kenneth Heischmidt, 2003. "Importance-performance analysis revisited: the role of the factor structure of customer satisfaction," The Service Industries Journal, Taylor & Francis Journals, vol. 23(2), pages 112-129, March.
    6. Murdy, Samantha & Pike, Steven, 2012. "Perceptions of visitor relationship marketing opportunities by destination marketers: An importance-performance analysis," Tourism Management, Elsevier, vol. 33(5), pages 1281-1285.
    7. Sunil Gupta & Valarie Zeithaml, 2006. "Customer Metrics and Their Impact on Financial Performance," Marketing Science, INFORMS, vol. 25(6), pages 718-739, 11-12.
    8. van Dolen, Willemijn & de Ruyter, Ko & Lemmink, Jos, 2004. "An empirical assessment of the influence of customer emotions and contact employee performance on encounter and relationship satisfaction," Journal of Business Research, Elsevier, vol. 57(4), pages 437-444, April.
    9. Hussain, Rahim & Al Nasser, Amjad & Hussain, Yomna K., 2015. "Service quality and customer satisfaction of a UAE-based airline: An empirical investigation," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 167-175.
    10. Lee, Hyung-Sook, 2015. "Measurement of visitors' satisfaction with public zoos in Korea using importance-performance analysis," Tourism Management, Elsevier, vol. 47(C), pages 251-260.
    11. Chen, Ching-Fu & Chen, Fu-Shian, 2010. "Experience quality, perceived value, satisfaction and behavioral intentions for heritage tourists," Tourism Management, Elsevier, vol. 31(1), pages 29-35.
    12. Qin Li & Shaobo Li & Jie Hu & Sen Zhang & Jianjun Hu, 2018. "Tourism Review Sentiment Classification Using a Bidirectional Recurrent Neural Network with an Attention Mechanism and Topic-Enriched Word Vectors," Sustainability, MDPI, vol. 10(9), pages 1-15, September.
    13. Xiang, Zheng & Du, Qianzhou & Ma, Yufeng & Fan, Weiguo, 2017. "A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism," Tourism Management, Elsevier, vol. 58(C), pages 51-65.
    14. Susan (Sixue) Jia, 2018. "Leisure Motivation and Satisfaction: A Text Mining of Yoga Centres, Yoga Consumers, and Their Interactions," Sustainability, MDPI, vol. 10(12), pages 1-17, November.
    15. Voorhees, Clay M. & Fombelle, Paul W. & Gregoire, Yany & Bone, Sterling & Gustafsson, Anders & Sousa, Rui & Walkowiak, Travis, 2017. "Service encounters, experiences and the customer journey: Defining the field and a call to expand our lens," Journal of Business Research, Elsevier, vol. 79(C), pages 269-280.
    16. Taplin, Ross H., 2012. "Competitive importance-performance analysis of an Australian wildlife park," Tourism Management, Elsevier, vol. 33(1), pages 29-37.
    17. Kurtulmuşoğlu, Feride Bahar & Can, Gülin Feryal & Tolon, Metehan, 2016. "A voice in the skies: Listening to airline passenger preferences," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 130-137.
    18. Shawn Mankad & Hyunjeong Spring Han & Joel Goh & Srinagesh Gavirneni, 2016. "Understanding Online Hotel Reviews Through Automated Text Analysis," Post-Print hal-02311939, HAL.
    19. Rajaguru, Rajesh, 2016. "Role of value for money and service quality on behavioural intention: A study of full service and low cost airlines," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 114-122.
    20. Fang, Bin & Ye, Qiang & Kucukusta, Deniz & Law, Rob, 2016. "Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics," Tourism Management, Elsevier, vol. 52(C), pages 498-506.
    21. Bernhardt, Kenneth L. & Donthu, Naveen & Kennett, Pamela A., 2000. "A Longitudinal Analysis of Satisfaction and Profitability," Journal of Business Research, Elsevier, vol. 47(2), pages 161-171, February.
    22. Myungsook An & Yonghwi Noh, 2009. "Airline customer satisfaction and loyalty: impact of in-flight service quality," Service Business, Springer;Pan-Pacific Business Association, vol. 3(3), pages 293-307, September.
    23. Lee, Kiljae & Yu, Chunyan, 2018. "Assessment of airport service quality: A complementary approach to measure perceived service quality based on Google reviews," Journal of Air Transport Management, Elsevier, vol. 71(C), pages 28-44.
    24. Seungju Nam & Chunghun Ha & Hyun Cheol Lee, 2018. "Redesigning In-Flight Service with Service Blueprint Based on Text Analysis," Sustainability, MDPI, vol. 10(12), pages 1-21, November.
    25. Lai, Ivan Ka Wai & Hitchcock, Michael, 2015. "Importance–performance analysis in tourism: A framework for researchers," Tourism Management, Elsevier, vol. 48(C), pages 242-267.
    26. Park, Jin-Woo, 2007. "Passenger perceptions of service quality: Korean and Australian case studies," Journal of Air Transport Management, Elsevier, vol. 13(4), pages 238-242.
    27. Guo, Yue & Barnes, Stuart J. & Jia, Qiong, 2017. "Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation," Tourism Management, Elsevier, vol. 59(C), pages 467-483.
    28. Verhoef, Peter C. & Lemon, Katherine N. & Parasuraman, A. & Roggeveen, Anne & Tsiros, Michael & Schlesinger, Leonard A., 2009. "Customer Experience Creation: Determinants, Dynamics and Management Strategies," Journal of Retailing, Elsevier, vol. 85(1), pages 31-41.
    29. Kos Koklic, Mateja & Kukar-Kinney, Monika & Vegelj, Spela, 2017. "An investigation of customer satisfaction with low-cost and full-service airline companies," Journal of Business Research, Elsevier, vol. 80(C), pages 188-196.
    30. Ziegler, Jackie & Dearden, Philip & Rollins, Rick, 2012. "But are tourists satisfied? Importance-performance analysis of the whale shark tourism industry on Isla Holbox, Mexico," Tourism Management, Elsevier, vol. 33(3), pages 692-701.
    31. Wittmann, Jürgen, 2019. "Customer-oriented optimization of the airplane boarding process," Journal of Air Transport Management, Elsevier, vol. 76(C), pages 31-39.
    32. Boley, B. Bynum & McGehee, Nancy Gard & Tom Hammett, A.L., 2017. "Importance-performance analysis (IPA) of sustainable tourism initiatives: The resident perspective," Tourism Management, Elsevier, vol. 58(C), pages 66-77.
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    Cited by:

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    2. Jun Hwan Kim & Woon-Kyung Song & Hyun Cheol Lee, 2023. "Exploring the Determinants of Travelers’ Intention to Use the Airport Biometric System: A Korean Case Study," Sustainability, MDPI, vol. 15(19), pages 1-21, September.
    3. Susan (Sixue) Jia, 2021. "Analyzing Restaurant Customers’ Evolution of Dining Patterns and Satisfaction during COVID-19 for Sustainable Business Insights," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    4. Nam, Seungju & Song, Woon-Kyung & Yoon, Heekweon, 2023. "An maintenance, repair, and overhaul (MRO) safety oversight system analysis: A case in Korea," Journal of Air Transport Management, Elsevier, vol. 107(C).
    5. Hanyang Luo & Wugang Song & Wanhua Zhou & Xudong Lin & Sumin Yu, 2023. "An Analysis Framework to Reveal Automobile Users’ Preferences from Online User-Generated Content," Sustainability, MDPI, vol. 15(18), pages 1-29, September.
    6. Babalola, Taiwo Oladapo, 2023. "Adopting Importance-Performance Analysis (IPA) model to assess land governance in the peri-urban areas of Ibadan, Nigeria," Land Use Policy, Elsevier, vol. 133(C).

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