IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v169y2023ics0148296323006574.html
   My bibliography  Save this article

Measuring service quality with text analytics: Considering both importance and performance of consumer opinions on social and non-social online platforms

Author

Listed:
  • Lu, Lin
  • Xu, Pei
  • Wang, Yen-Yao
  • Wang, Yu

Abstract

Online word-of-mouth (WOM) has attracted considerable attention from researchers due to its abundant information on customer perceptions that drive product and service improvement. This study develops a novel weighted service quality (WSQ) metric derived from online customer opinions, leveraging the importance-performance analysis framework. Data collected from social and non-social online platforms confirms that this WSQ approach outperforms the widely used average sentiment score approach and significantly predicts the industry service quality standard, Airline Quality Rating (AQR). In addition, the WSQ metric derived from social media proves to be a more vital indicator for AQR than that derived from a non-social online platform. A significant difference in topic distributions was also identified between consumer opinions from social media and non-social online platforms. Our study makes several crucial contributions to the service quality literature on employing online WOM using sentiment analysis and topic modeling techniques.

Suggested Citation

  • Lu, Lin & Xu, Pei & Wang, Yen-Yao & Wang, Yu, 2023. "Measuring service quality with text analytics: Considering both importance and performance of consumer opinions on social and non-social online platforms," Journal of Business Research, Elsevier, vol. 169(C).
    • Handle: RePEc:eee:jbrese:v:169:y:2023:i:c:s0148296323006574
    DOI: 10.1016/j.jbusres.2023.114298
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296323006574
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbusres.2023.114298?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Li, Wenhua & Yu, Suihuai & Pei, Huining & Zhao, Chuan & Tian, Baozhen, 2017. "A hybrid approach based on fuzzy AHP and 2-tuple fuzzy linguistic method for evaluation in-flight service quality," Journal of Air Transport Management, Elsevier, vol. 60(C), pages 49-64.
    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. Li, Han & Gupta, Ashish & Zhang, Jie & Flor, Nick, 2020. "Who will use augmented reality? An integrated approach based on text analytics and field survey," European Journal of Operational Research, Elsevier, vol. 281(3), pages 502-516.
    4. Liou, James J.H. & Hsu, Chao-Che & Yeh, Wen-Chien & Lin, Rong-Ho, 2011. "Using a modified grey relation method for improving airline service quality," Tourism Management, Elsevier, vol. 32(6), pages 1381-1388.
    5. Al-Natour, Sameh & Turetken, Ozgur, 2020. "A comparative assessment of sentiment analysis and star ratings for consumer reviews," International Journal of Information Management, Elsevier, vol. 54(C).
    6. Vanhala, Mika & Lu, Chien & Peltonen, Jaakko & Sundqvist, Sanna & Nummenmaa, Jyrki & Järvelin, Kalervo, 2020. "The usage of large data sets in online consumer behaviour: A bibliometric and computational text-mining–driven analysis of previous research," Journal of Business Research, Elsevier, vol. 106(C), pages 46-59.
    7. Holmlund, Maria & Van Vaerenbergh, Yves & Ciuchita, Robert & Ravald, Annika & Sarantopoulos, Panagiotis & Ordenes, Francisco Villarroel & Zaki, Mohamed, 2020. "Customer experience management in the age of big data analytics: A strategic framework," Journal of Business Research, Elsevier, vol. 116(C), pages 356-365.
    8. Chang, Yu-Hern & Yeh, Chung-Hsing, 2002. "A survey analysis of service quality for domestic airlines," European Journal of Operational Research, Elsevier, vol. 139(1), pages 166-177, May.
    9. Mochen Yang & Yuqing Ren & Gediminas Adomavicius, 2019. "Understanding User-Generated Content and Customer Engagement on Facebook Business Pages," Information Systems Research, INFORMS, vol. 30(3), pages 839-855, September.
    10. Aralbayeva Shadiyar & Hyun-Jeong Ban & Hak-Seon Kim, 2020. "Extracting Key Drivers of Air Passenger’s Experience and Satisfaction through Online Review Analysis," Sustainability, MDPI, vol. 12(21), pages 1-20, November.
    11. Aksoy, Safak & Atilgan, Eda & Akinci, Serkan, 2003. "Airline services marketing by domestic and foreign firms: differences from the customers’ viewpoint," Journal of Air Transport Management, Elsevier, vol. 9(6), pages 343-351.
    12. Arpan Kumar Kar, 2021. "What Affects Usage Satisfaction in Mobile Payments? Modelling User Generated Content to Develop the “Digital Service Usage Satisfaction Model”," Information Systems Frontiers, Springer, vol. 23(5), pages 1341-1361, September.
    13. Ray, Arghya & Bala, Pradip Kumar & Rana, Nripendra P., 2021. "Exploring the drivers of customers’ brand attitudes of online travel agency services: A text-mining based approach," Journal of Business Research, Elsevier, vol. 128(C), pages 391-404.
    14. Singh, Amit & Jenamani, Mamata & Thakkar, Jitesh J. & Rana, Nripendra P., 2021. "Propagation of online consumer perceived negativity: Quantifying the effect of supply chain underperformance on passenger car sales," Journal of Business Research, Elsevier, vol. 132(C), pages 102-114.
    15. Wang, Yen-Yao & Wang, Tawei & Calantone, Roger, 2021. "The effect of competitive actions and social media perceptions on offline car sales after automobile recalls," International Journal of Information Management, Elsevier, vol. 56(C).
    16. Judith A. Chevalier & Yaniv Dover & Dina MayzlinDina Mayzlin, 2018. "Channels of Impact: User Reviews When Quality Is Dynamic and Managers Respond," Marketing Science, INFORMS, vol. 37(5), pages 688-709, September.
    17. Asamoah, Daniel Adomako & Sharda, Ramesh, 2021. "What should I believe? Exploring information validity on social network platforms," Journal of Business Research, Elsevier, vol. 122(C), pages 567-581.
    18. Sezgen, Eren & Mason, Keith J. & Mayer, Robert, 2019. "Voice of airline passenger: A text mining approach to understand customer satisfaction," Journal of Air Transport Management, Elsevier, vol. 77(C), pages 65-74.
    19. Juhwan Lim & Hyun Cheol Lee, 2020. "Comparisons of service quality perceptions between full service carriers and low cost carriers in airline travel," Current Issues in Tourism, Taylor & Francis Journals, vol. 23(10), pages 1261-1276, May.
    20. 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.
    21. Tingting Song & Jinghua Huang & Yong Tan & Yifan Yu, 2019. "Using User- and Marketer-Generated Content for Box Office Revenue Prediction: Differences Between Microblogging and Third-Party Platforms," Service Science, INFORMS, vol. 30(1), pages 191-203, March.
    22. Reza Mousavi & Monica Johar & Vijay S. Mookerjee, 2020. "The Voice of the Customer: Managing Customer Care in Twitter," Information Systems Research, INFORMS, vol. 31(2), pages 340-360, June.
    23. Bezerra, George Christian Linhares & Gomes, Carlos F., 2016. "Measuring airport service quality: A multidimensional approach," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 85-93.
    24. Chen, Fang-Yuan & Chang, Yu-Hern, 2005. "Examining airline service quality from a process perspective," Journal of Air Transport Management, Elsevier, vol. 11(2), pages 79-87.
    25. Joachim Büschken & Greg M. Allenby, 2016. "Sentence-Based Text Analysis for Customer Reviews," Marketing Science, INFORMS, vol. 35(6), pages 953-975, November.
    26. Yen-Yao Wang & Chenhui Guo & Anjana Susarla & Vallabh Sambamurthy, 2021. "Online to Offline: The Impact of Social Media on Offline Sales in the Automobile Industry," Information Systems Research, INFORMS, vol. 32(2), pages 582-604, June.
    27. Sever, Ivan, 2015. "Importance-performance analysis: A valid management tool?," Tourism Management, Elsevier, vol. 48(C), pages 43-53.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Das, Ronnie & Ahmed, Wasim & Sharma, Kshitij & Hardey, Mariann & Dwivedi, Yogesh K. & Zhang, Ziqi & Apostolidis, Chrysostomos & Filieri, Raffaele, 2024. "Towards the development of an explainable e-commerce fake review index: An attribute analytics approach," European Journal of Operational Research, Elsevier, vol. 317(2), pages 382-400.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bellizzi, Maria Grazia & dell’Olio, Luigi & Eboli, Laura & Mazzulla, Gabriella, 2021. "Detecting passengers' heterogeneity on airlines’ services using SP data," Journal of Air Transport Management, Elsevier, vol. 96(C).
    2. Mahmut Bakır & Şahap Akan & Emircan Özdemir & Phi-Hung Nguyen & Jung-Fa Tsai & Hong-Anh Pham, 2022. "How to Achieve Passenger Satisfaction in the Airport? Findings from Regression Analysis and Necessary Condition Analysis Approaches through Online Airport Reviews," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    3. Bellizzi, Maria Grazia & Eboli, Laura & Mazzulla, Gabriella & Postorino, Maria Nadia, 2022. "Classification trees for analysing highly educated people satisfaction with airlines’ services," Transport Policy, Elsevier, vol. 116(C), pages 199-211.
    4. Atalay, Kumru Didem & Atalay, Buket & Isin, Feride Bahar, 2019. "FIPIA with information entropy: A new hybrid method to assess airline service quality," Journal of Air Transport Management, Elsevier, vol. 76(C), pages 67-77.
    5. 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.
    6. Perçin, Selçuk, 2018. "Evaluating airline service quality using a combined fuzzy decision-making approach," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 48-60.
    7. Tahanisaz, Sahar & shokuhyar, Sajjad, 2020. "Evaluation of passenger satisfaction with service quality: A consecutive method applied to the airline industry," Journal of Air Transport Management, Elsevier, vol. 83(C).
    8. Maria Grazia Bellizzi & Luigi dell’Olio & Laura Eboli & Carmen Forciniti & Gabriella Mazzulla, 2020. "Passengers’ Expectations on Airlines’ Services: Design of a Stated Preference Survey and Preliminary Outcomes," Sustainability, MDPI, vol. 12(11), pages 1-14, June.
    9. 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.
    10. Barakat, H. & Yeniterzi, R. & Martín-Domingo, L., 2021. "Applying deep learning models to twitter data to detect airport service quality," Journal of Air Transport Management, Elsevier, vol. 91(C).
    11. Samanci, Simge & Didem Atalay, Kumru & Bahar Isin, Feride, 2021. "Focusing on the big picture while observing the concerns of both managers and passengers in the post-covid era," Journal of Air Transport Management, Elsevier, vol. 90(C).
    12. Kurtulmuşoğlu, Feride Bahar & Can, Gülin Feryal & Pakdil, Fatma & Tolon, Metehan, 2018. "Does gender matter? Considering gender of service in the airline industry," Journal of Air Transport Management, Elsevier, vol. 70(C), pages 73-82.
    13. Patricia Lippitt & Nadine Itani & John F. O’Connell & David Warnock-Smith & Marina Efthymiou, 2023. "Investigating Airline Service Quality from a Business Traveller Perspective through the Integration of the Kano Model and Importance–Satisfaction Analysis," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    14. Li, Lingyao & Mao, Yujie & Wang, Yu & Ma, Zihui, 2022. "How has airport service quality changed in the context of COVID-19: A data-driven crowdsourcing approach based on sentiment analysis," Journal of Air Transport Management, Elsevier, vol. 105(C).
    15. Bakır, Mahmut & Özdemir, Emircan & Akan, Şahap & Atalık, Özlem, 2022. "A bibliometric analysis of airport service quality," Journal of Air Transport Management, Elsevier, vol. 104(C).
    16. Zuo, Wenming & Bai, Weijing & Zhu, Wenfeng & He, Xinming & Qiu, Xinxin, 2022. "Changes in service quality of sharing accommodation: Evidence from airbnb," Technology in Society, Elsevier, vol. 71(C).
    17. Climis Raghda, 2016. "Factors Affecting Customer Retention in the Airline Industry," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 24(4), pages 49-69, December.
    18. Juan de Oña & Rocio de Oña, 2015. "Quality of Service in Public Transport Based on Customer Satisfaction Surveys: A Review and Assessment of Methodological Approaches," Transportation Science, INFORMS, vol. 49(3), pages 605-622, August.
    19. Thampan, Aromal & Sinha, Kapil & Gurjar, B.R. & Rajasekar, E., 2020. "Functional efficiency in airport terminals: A review on Overall and Stratified Service Quality," Journal of Air Transport Management, Elsevier, vol. 87(C).
    20. Phelipe Medeiros da Rocha & Helder Gomes Costa & Glauco Barbosa da Silva, 2022. "Gaps, Trends and Challenges in Assessing Quality of Service at Airport Terminals: A Systematic Review and Bibliometric Analysis," Sustainability, MDPI, vol. 14(7), pages 1-17, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:169:y:2023:i:c:s0148296323006574. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.