Research Article
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Year 2024, , 128 - 137, 27.06.2024
https://doi.org/10.30518/jav.1484012

Abstract

References

  • Akçakanat, Ö., Eren, H., Aksoy, E., & Ömürbek, V. (2017). Performance evaluation by entropy and waspas methods at banking sector. Suleyman Demirel University The Journal of Faculty of Economics and Administrative Sciences, 22(2), 285-300.
  • Alamdari, F. (1999). Airline in-flight entertainment: the passengers' perspective. Journal of Air Transport Management, 5(4), 203-209.
  • Altınkurt, T., & Merdivenci, F. (2020). Evaluation of service quality in airline companies by AHP-Based EDAS methods. The Journal of Aksaray University Faculty of Economics and Administrative Sciences, 12(4), 49-58.
  • Arslan, H., Durak, İ., & Özdemir, Y. (2021). Determination of the most suitable technopark area for it enterprises with entropy-aras hybrid method. International Journal of Management Economics and Business, 17(3), 734- 753.
  • Atalık, Ö., Bakır, M., & Akan, Ş. (2019). The role of in-flight service quality on value for money in business class: A logit model on the airline industry. Administrative Sciences, 9(26), 1-15.
  • Awadh, M. (2023). Assessing the quality of sustainable airline services utilizing the multicriteria decision- making approach. Sustainability, 15(9), 1-19.
  • Badi, I., & Abdulshahed, A. (2019). Ranking the Libyan airlines by using full consistency method (FUCOM) and analytical hierarchy process (AHP). Operational Research in Engineering Sciences: Theory and Applications, 2(1), 1-14.
  • Badrillah, M., Shuib, A., & Nasir, S. (2023). How airline service quality (AIRQUAL) affects customer decision making in airline choices - a conceptual paper. B. Alareeni, & A. Hamdan içinde, Sustainable Finance, Digitalization and the Role of Technology (s. 201-215. Switzerland: Springer Cham.
  • Bağcı, H., & Caba, N. (2018). A comparison of the cash levels of securities investment trusts by using the Entropy and COPRAS methods. Journal of the Human and Social Science Researches, 7(5), 64-83.
  • Baker, D. (2013). Service quality and customer satisfaction in the airline industry:a comparison between legacy airlines and low-cost airlines. American Journal of Tourism Research, 2(1), 67-77.
  • Bakır, M., & Atalık, Ö. (2018). Evaluation of service quality in airlines by Entropy and ARAS methods. Journal of Business Turk, 10(1), 617-638.
  • Bakır, M., & Atalık, Ö. (2021). Application of Fuzzy AHP and Fuzzy MARCOS approach for the evaluation of e- service quality in the airline industry. Decision Making: Applications in Management and Engineering, 4(1), 127-152.
  • Bari, S., Bavik, A., Ekiz, H., Hussain, K., & Toner, S. (2001). AIRQUAL: A Multiple-Item Scale for Measuring Service Quality, Customer Satisfaction, and Repurchase Intention. HOS-414 Graduation Project (Thesis). Gazimagusa: Eastern Mediterranean University, School of Tourism and Hospitality Management.
  • Büyüközkan, G., Havle, C., & Feyzioğlu, O. (2020). A new digital service quality model and its strategic analysis in aviation industry using interval-valued intuitionistic fuzzy AHP. Journal of Air Transport Management, 86,
  • Chang, Y.-H., & Yeh, C.-H. (2002). A survey analysis of service quality for domestic airlines. European Journal of Operational Research, 139(1), 166-177.
  • Chen, F.-Y., & Chang, Y.-H. (2005). Examining airline service quality from a process perspective. Journal of Air Transport Management, 11, 79-87.
  • Chung, K., & Tan, P. (2022). Options to improve service quality to enhance value co-creation for customers in the aviation industry in Taiwan. SAGE Open, 1-17.
  • Curtis, T., Rhoades, D., & Waguespack , B. (2012). Satisfaction with airline service quality: familiarity breeds contempt. International Journal of Aviation Management, 1(4).
  • Eboli, L., Bellizzi, M., & Mazzulla , G. (2022). A Literature review of studies analysing air transport service quality from the passengers’ point of view. Transport Economics Review, 34(2), 253-269.
  • Francis, G., Dennis, N., Ison, S., & Humphreys, I. (2007). The transferability of the low-cost model to long-haul airline operations. Tourism Management, 28, 391-398.
  • Fu, Y.-K. (2019). An integrated approach to catering supplier selection using AHP-ARASMCGP methodology. Journal of Air Transport Management, 75, 164-169.
  • Gedik, M., & Bayram, Ö. (2022). Evaluation of cabin service quality of low-cost airlines in Europe by Entropy- based Aras methods. Rhetoric Journal of Social Sciences, 2(2), 71-85.
  • Ghotbabadi, A., Feiz, S., & Baharun, R. (2015). Service Quality Measurements: A Review. International Journal of Academic Research in Business and Social Sciences, 5(2), 267-286.
  • Gupta, H. (2018). Evaluating service quality of airline industry using hybrid best worst method and VIKOR. Journal of Air Transport Management, 68, 35-47.
  • Jin, M.-J., & Kim, J. (2022). Customer adoption factors for in-flight entertainment and connectivity. Research in Transportation Business & Management, 43,
  • John, O. (2022). Pleasure While Flying: Inflight Entertainment as a Medium for Cultural Production and Dissemination. T. Afolabi, O. Ogunnubi, & S. Ukuma içinde, Re-centering Cultural Performance and Orange Economy in Post-colonial Africa. (s. 159-167.
  • Kavus, B.Y., Tas, P., Ayyildiz, E., & Taskin, A. (2022). A three-level framework to evaluate airline service quality based on interval valued neutrosophic AHP considering the new dimensions. Journal of Air Transport Management, 99,
  • Kehribar, Ö., Karademir, F., & Evci, S. (2021). Evaluation of the financial performance of businesses during the COVID-19 pandemic process with Entropy and MAIRCA methods:BIST food, beverage index example Business & Management Studies: An International Journal (BMIJ), 9(1), 200-214.
  • Li, L., Wu, Y., Han, R., & Li, C. (2022). Airline service quality: a variance assessment method based on complaint statistics. Journal of Service Science and Management, 15(4), 416-436.
  • Li, Q., Jing, R., & Zhu , X. (2024). Determinants of travel satisfaction for commercial airlines: A data mining approach. Engineering Applications of Artificial Intelligence, 133,
  • Liu , H. (2007). In-flight entertainment system: state of the art and research directions. Semantic Media Adaptation and Personalization, Second International Workshop on. IEEE.
  • Namukasa, J. (2013). The influence of airline service quality on passenger satisfaction and loyalty : The case of Uganda airline industry. The TQM Journal, 25(5), 520-532.
  • Ostrowski, P., O'Brien, T., & Gordon, G. (1993). Service quality and customer loyalty in the commercial airline industry. Journal of Travel Research, 32(2), 16-24.
  • Özdağoğlu, A., Işıldak, B., & Keleş, M. (2022). Evaluation of airports wıth multi-criteria decision-making methods from the perspective of airline sector employees. Süleyman Demirel University Visionary Journal, 13(33), 34-56.
  • Özden, A., & Celik, E. (2021). Analyzing the service quality priorities in cargo transportation before and during the Covid-19 outbreak. Transport Policy, 108, 34-46.
  • Özgüner, Z., & Özgüner, M. (2020). Analysis of supplier evaluation and selection problem with integrated Entropy-topsis methods. Istanbul Commerce University Journal of Social Sciences, 551-568.
  • Öztürk, D., & Onurlubaş, E. (2019). Assessment of service quality of airline industry using AHP and TOPSIS methods. Gümüşhane University Journal of Social Sciences Institute, 10, 81-97. https://dergipark.org.tr/en/pub/gumus/issue/49769/607774.
  • Parasuraman, A., Zeithaml, V., & Berry, L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49(4), 41-50.
  • Perçin, S. (2018). Evaluating airline service quality using a combined fuzzy decision-making approach. Journal of Air Transport Management, 68, 48-60.
  • Pineda, P., Liou, J., Hsu, C.-C., & Chuang, Y.-C. (2018). An integrated MCDM model for improving airline operational and financial performance. Journal of Air Transport Management, 68, 103-117.
  • Rady, H. (2018). Measuring airline service quality using AIRQUAL model: a study applied to egyptair. International Journal of Heritage, Tourism and Hospitality, 12(1/2), 271-290.
  • Shannon, C. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27(3), 379- 423.
  • Stević, Ž., Pamučar, D., Puška, A., & Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement Alternatives and Ranking according to Compromise Solution (MARCOS). Computers & Industrial Engineering, 140(106231),
  • Tali, D., & Karaduman, İ. (2021). The relationship of service quality, brand perception, and customer loyalty in airline transportation. Journal of Social and Humanities Sciences Research, 8(72), 1994-2009.
  • Truitt, L., & Ray Haynes. (1994). Evaluating service quality and productivity in the regional airline industry. Transportation Journal, 33(4), 21-32.
  • Wahyuni, S., & Praninta, A. (2021). The influence of brand equity and service quality on purchase decisions on Garuda Indonesia airline services. Research Horizon, 1(1), 28-38.
  • Yanginlar, G., & Tuna, F. (2020). The effect of service quality on airline transportation on corporate image, customer satisfaction and customer loyalty. Journal of Business Research-Turk, 12(1), 173-187.
  • Youngo, C., Cunningham, L., & Lee, M. (1994). Assessing service quality as an effective management tool: the case of the airline industry. Journal of Marketing Theory and Practice, 76-97.

Passenger Service Quality Perceptions to Star Alliance Airlines

Year 2024, , 128 - 137, 27.06.2024
https://doi.org/10.30518/jav.1484012

Abstract

Through performance measurement, airline operators can conduct situation assessments and evaluate the contributions of decisions to performance beforehand. Evaluating performance based on the perceived service quality by airline passengers has become crucial for airlines to understand and improve their services in order to achieve success in competition by meeting passengers' desires and expectations. This study aims to examine the perception of customer service quality among airline operators in the Star Alliance, the largest alliance worldwide based on 2023 data, using multi-criteria decision-making (MCDM) methods known as Entropy and MARCOS, with Tripadvisor data as a basis. Firstly, criteria weights were obtained using the Entropy method, and then airline operators were evaluated and ranked based on service quality using the MARCOS method. The study revealed that the most significant evaluation criterion was the in-flight entertainment systems (Wi-Fi, TV, movies), and Singapore Airlines exhibited the best service quality performance.

References

  • Akçakanat, Ö., Eren, H., Aksoy, E., & Ömürbek, V. (2017). Performance evaluation by entropy and waspas methods at banking sector. Suleyman Demirel University The Journal of Faculty of Economics and Administrative Sciences, 22(2), 285-300.
  • Alamdari, F. (1999). Airline in-flight entertainment: the passengers' perspective. Journal of Air Transport Management, 5(4), 203-209.
  • Altınkurt, T., & Merdivenci, F. (2020). Evaluation of service quality in airline companies by AHP-Based EDAS methods. The Journal of Aksaray University Faculty of Economics and Administrative Sciences, 12(4), 49-58.
  • Arslan, H., Durak, İ., & Özdemir, Y. (2021). Determination of the most suitable technopark area for it enterprises with entropy-aras hybrid method. International Journal of Management Economics and Business, 17(3), 734- 753.
  • Atalık, Ö., Bakır, M., & Akan, Ş. (2019). The role of in-flight service quality on value for money in business class: A logit model on the airline industry. Administrative Sciences, 9(26), 1-15.
  • Awadh, M. (2023). Assessing the quality of sustainable airline services utilizing the multicriteria decision- making approach. Sustainability, 15(9), 1-19.
  • Badi, I., & Abdulshahed, A. (2019). Ranking the Libyan airlines by using full consistency method (FUCOM) and analytical hierarchy process (AHP). Operational Research in Engineering Sciences: Theory and Applications, 2(1), 1-14.
  • Badrillah, M., Shuib, A., & Nasir, S. (2023). How airline service quality (AIRQUAL) affects customer decision making in airline choices - a conceptual paper. B. Alareeni, & A. Hamdan içinde, Sustainable Finance, Digitalization and the Role of Technology (s. 201-215. Switzerland: Springer Cham.
  • Bağcı, H., & Caba, N. (2018). A comparison of the cash levels of securities investment trusts by using the Entropy and COPRAS methods. Journal of the Human and Social Science Researches, 7(5), 64-83.
  • Baker, D. (2013). Service quality and customer satisfaction in the airline industry:a comparison between legacy airlines and low-cost airlines. American Journal of Tourism Research, 2(1), 67-77.
  • Bakır, M., & Atalık, Ö. (2018). Evaluation of service quality in airlines by Entropy and ARAS methods. Journal of Business Turk, 10(1), 617-638.
  • Bakır, M., & Atalık, Ö. (2021). Application of Fuzzy AHP and Fuzzy MARCOS approach for the evaluation of e- service quality in the airline industry. Decision Making: Applications in Management and Engineering, 4(1), 127-152.
  • Bari, S., Bavik, A., Ekiz, H., Hussain, K., & Toner, S. (2001). AIRQUAL: A Multiple-Item Scale for Measuring Service Quality, Customer Satisfaction, and Repurchase Intention. HOS-414 Graduation Project (Thesis). Gazimagusa: Eastern Mediterranean University, School of Tourism and Hospitality Management.
  • Büyüközkan, G., Havle, C., & Feyzioğlu, O. (2020). A new digital service quality model and its strategic analysis in aviation industry using interval-valued intuitionistic fuzzy AHP. Journal of Air Transport Management, 86,
  • Chang, Y.-H., & Yeh, C.-H. (2002). A survey analysis of service quality for domestic airlines. European Journal of Operational Research, 139(1), 166-177.
  • Chen, F.-Y., & Chang, Y.-H. (2005). Examining airline service quality from a process perspective. Journal of Air Transport Management, 11, 79-87.
  • Chung, K., & Tan, P. (2022). Options to improve service quality to enhance value co-creation for customers in the aviation industry in Taiwan. SAGE Open, 1-17.
  • Curtis, T., Rhoades, D., & Waguespack , B. (2012). Satisfaction with airline service quality: familiarity breeds contempt. International Journal of Aviation Management, 1(4).
  • Eboli, L., Bellizzi, M., & Mazzulla , G. (2022). A Literature review of studies analysing air transport service quality from the passengers’ point of view. Transport Economics Review, 34(2), 253-269.
  • Francis, G., Dennis, N., Ison, S., & Humphreys, I. (2007). The transferability of the low-cost model to long-haul airline operations. Tourism Management, 28, 391-398.
  • Fu, Y.-K. (2019). An integrated approach to catering supplier selection using AHP-ARASMCGP methodology. Journal of Air Transport Management, 75, 164-169.
  • Gedik, M., & Bayram, Ö. (2022). Evaluation of cabin service quality of low-cost airlines in Europe by Entropy- based Aras methods. Rhetoric Journal of Social Sciences, 2(2), 71-85.
  • Ghotbabadi, A., Feiz, S., & Baharun, R. (2015). Service Quality Measurements: A Review. International Journal of Academic Research in Business and Social Sciences, 5(2), 267-286.
  • Gupta, H. (2018). Evaluating service quality of airline industry using hybrid best worst method and VIKOR. Journal of Air Transport Management, 68, 35-47.
  • Jin, M.-J., & Kim, J. (2022). Customer adoption factors for in-flight entertainment and connectivity. Research in Transportation Business & Management, 43,
  • John, O. (2022). Pleasure While Flying: Inflight Entertainment as a Medium for Cultural Production and Dissemination. T. Afolabi, O. Ogunnubi, & S. Ukuma içinde, Re-centering Cultural Performance and Orange Economy in Post-colonial Africa. (s. 159-167.
  • Kavus, B.Y., Tas, P., Ayyildiz, E., & Taskin, A. (2022). A three-level framework to evaluate airline service quality based on interval valued neutrosophic AHP considering the new dimensions. Journal of Air Transport Management, 99,
  • Kehribar, Ö., Karademir, F., & Evci, S. (2021). Evaluation of the financial performance of businesses during the COVID-19 pandemic process with Entropy and MAIRCA methods:BIST food, beverage index example Business & Management Studies: An International Journal (BMIJ), 9(1), 200-214.
  • Li, L., Wu, Y., Han, R., & Li, C. (2022). Airline service quality: a variance assessment method based on complaint statistics. Journal of Service Science and Management, 15(4), 416-436.
  • Li, Q., Jing, R., & Zhu , X. (2024). Determinants of travel satisfaction for commercial airlines: A data mining approach. Engineering Applications of Artificial Intelligence, 133,
  • Liu , H. (2007). In-flight entertainment system: state of the art and research directions. Semantic Media Adaptation and Personalization, Second International Workshop on. IEEE.
  • Namukasa, J. (2013). The influence of airline service quality on passenger satisfaction and loyalty : The case of Uganda airline industry. The TQM Journal, 25(5), 520-532.
  • Ostrowski, P., O'Brien, T., & Gordon, G. (1993). Service quality and customer loyalty in the commercial airline industry. Journal of Travel Research, 32(2), 16-24.
  • Özdağoğlu, A., Işıldak, B., & Keleş, M. (2022). Evaluation of airports wıth multi-criteria decision-making methods from the perspective of airline sector employees. Süleyman Demirel University Visionary Journal, 13(33), 34-56.
  • Özden, A., & Celik, E. (2021). Analyzing the service quality priorities in cargo transportation before and during the Covid-19 outbreak. Transport Policy, 108, 34-46.
  • Özgüner, Z., & Özgüner, M. (2020). Analysis of supplier evaluation and selection problem with integrated Entropy-topsis methods. Istanbul Commerce University Journal of Social Sciences, 551-568.
  • Öztürk, D., & Onurlubaş, E. (2019). Assessment of service quality of airline industry using AHP and TOPSIS methods. Gümüşhane University Journal of Social Sciences Institute, 10, 81-97. https://dergipark.org.tr/en/pub/gumus/issue/49769/607774.
  • Parasuraman, A., Zeithaml, V., & Berry, L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49(4), 41-50.
  • Perçin, S. (2018). Evaluating airline service quality using a combined fuzzy decision-making approach. Journal of Air Transport Management, 68, 48-60.
  • Pineda, P., Liou, J., Hsu, C.-C., & Chuang, Y.-C. (2018). An integrated MCDM model for improving airline operational and financial performance. Journal of Air Transport Management, 68, 103-117.
  • Rady, H. (2018). Measuring airline service quality using AIRQUAL model: a study applied to egyptair. International Journal of Heritage, Tourism and Hospitality, 12(1/2), 271-290.
  • Shannon, C. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27(3), 379- 423.
  • Stević, Ž., Pamučar, D., Puška, A., & Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement Alternatives and Ranking according to Compromise Solution (MARCOS). Computers & Industrial Engineering, 140(106231),
  • Tali, D., & Karaduman, İ. (2021). The relationship of service quality, brand perception, and customer loyalty in airline transportation. Journal of Social and Humanities Sciences Research, 8(72), 1994-2009.
  • Truitt, L., & Ray Haynes. (1994). Evaluating service quality and productivity in the regional airline industry. Transportation Journal, 33(4), 21-32.
  • Wahyuni, S., & Praninta, A. (2021). The influence of brand equity and service quality on purchase decisions on Garuda Indonesia airline services. Research Horizon, 1(1), 28-38.
  • Yanginlar, G., & Tuna, F. (2020). The effect of service quality on airline transportation on corporate image, customer satisfaction and customer loyalty. Journal of Business Research-Turk, 12(1), 173-187.
  • Youngo, C., Cunningham, L., & Lee, M. (1994). Assessing service quality as an effective management tool: the case of the airline industry. Journal of Marketing Theory and Practice, 76-97.
There are 48 citations in total.

Details

Primary Language English
Subjects Business Administration
Journal Section Research Articles
Authors

Fatma Selin Sak 0000-0001-7105-7387

Early Pub Date June 25, 2024
Publication Date June 27, 2024
Submission Date May 14, 2024
Acceptance Date June 4, 2024
Published in Issue Year 2024

Cite

APA Sak, F. S. (2024). Passenger Service Quality Perceptions to Star Alliance Airlines. Journal of Aviation, 8(2), 128-137. https://doi.org/10.30518/jav.1484012

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