Talebin her geçen gün arttığı lojistik sektöründe hizmet kalitesinin ölçülmesi kritik önem taşımaktadır. Firmaların pazarda rekabet edebilmeleri ve hizmet kalitelerini artırabilmeleri için müşterilerini iyi tanımaları ve beklentilerini doğru analiz ederek iyileştirmeler yapmaları gerekmektedir. Bu bağlamda SERVQUAL modeli hizmet kalitesi ölçümünde sıklıkla tercih edilen etkili araçlardan biridir. Ancak dünyayı etkisi altında pandemi, gelişen teknoloji trendlerin gelişimi ve dönüşümü gibi köklü değişimlerin etkileriyle geleneksel SERVQUAL modeli ile müşterilerin tüm beklentilerini sürece dahil etmek mümkün değildir. Bu yüzden bu çalışmada, SERVQUAL modeli lojistik servis sağlayıcılara yönelik beklentiler dikkate alınarak dört farklı boyutla genişletilmiş ve böylece daha kapsamlı bir çerçeve sunulmuştur. Daha sonra her bir boyutun önem derecesinin belirlemek için çok kriterli karar verme yaklaşımı benimsenmiş ve Best-Worst yöntemi kullanılarak boyutların önem dereceleri belirlenmiştir. Önerilen yöntemin tutarlılığını test etmek için karşılaştırmalı analiz yapılmıştır. Elde edilen sonuçlara göre en önemli hizmet kalitesi boyutu “yanıt verebilirlik” olarak belirlenmiştir. Ayrıca “yeterlik” ve “güvenilirlik” hizmet kalitesini artırmaya yönelik dikkate alınması gereken boyutlardandır.
Aagja, J. P., & Garg, R. (2010). Measuring perceived service quality for public hospitals (PubHosQual) in the Indian context. International Journal of Pharmaceutical and Healthcare Marketing, 4(1), 60-83. https://doi.org/10.1108/17506121011036033 google scholar
Aktas, E., & Ulengin, F. (2005). Outsourcing logistics activities in Turkey. Journal of Enterprise Information Management, 18(3), 316-329. https://doi.org/10.1108/17410390510591996 google
scholar
Asiamah, N., Frimpong Opuni, F., Aggrey, M., & Adu-Gyamfi, K. (2021). ADAPTED SERVQUAL: A Health Service Quality Scale Incorporating Indicators of Sanitation and Hygiene. Quality
Management in Health Care. https://doi.org/10.1097/QMH.0000000000000269 google scholar
Awasthi, A., Chauhan, S. S., Omrani, H., & Panahi, A. (2011). A hybrid approach based on SERVQUAL and fuzzy TOPSIS for evaluating transportation service quality. Computers and
Industrial Engineering, 61(3), 637-646. https://doi.org/10.1016/j.cie.2011.04.019 google scholar
Ayyildiz, E., & Taskin Gumus, A. (2021). Interval-valued Pythagorean fuzzy AHP method-based supply chain performance evaluation by a new extension of SCOR model: SCOR 4.0.
Complex & Intelligent Systems, 7(1), 559-576. https://doi.org/10.1007/s40747-020-00221-9 google scholar
Ayyildiz, E., Yildiz, A., Taskin Gumus, A., & Ozkan, C. (2021). An Integrated Methodology Using Extended Swara and Dea for the Performance Analysis of Wastewater Treatment Plants:
Turkey Case. Environmental Management, 67(3), 449-467. https://doi.org/10.1007/s00267-020-01381-7 google scholar
Baber, H. (2019). E-SERVQUAL and its impact on the performance of Islamic Banks in Malaysia from the customer’s perspective. Journal of Asian Finance, Economics and Business,
6(1), 169-175. https://doi. org/10.13106/JAFEB.2019 google scholar
Baki, B., Sahin Basfirinci, C., Murat ar, I., & Cilingir, Z. (2009). An application of integrating SERVQUAL and Kano’s model into QFD for logistics services:A case study from Turkey. Asia
Pacific Journal of Marketing and Logistics, 21(1), 106-126. https://doi.org/10.1108/13555850910926272 google scholar
Chen, D., Faibil, D., & Agyemang, M. (2020). Evaluating critical barriers and pathways to implementation of e-waste formalization management systems in Ghana: a hybrid BWM and
fuzzy TOPSIS approach. Environmental Science and Pollution Research, 27(35), 44561-44584. https://doi.org/10.1007/s11356-020-10360-8 google scholar
Del Castillo, J. M., & Benitez, F. G. (2012). A Methodology for Modeling and Identifying Users Satisfaction Issues in Public Transport Systems Based on Users Surveys. Procedia - Social
and Behavioral Sciences, 54, 1104-1114. https://doi.org/10.1016/j.sbspro.2012.09.825 google scholar
Farooq, M. S., Salam, M., Fayolle, A., Jaafar, N., & Ayupp, K. (2018). Impact of service quality on customer satisfaction in Malaysia airlines: A PLS-SEM approach. Journal of Air Transport
Management, 67, 169-180. https://doi.org/10.1016/J.JAIRTRAMAN.2017.12.008 google scholar
Fei, L., Lu, J., & Feng, Y. (2020). An extended best-worst multi-criteria decision-making method by belief functions and its applications in hospital service evaluation. Computers and
Industrial Engineering, 142. https://doi.org/10.1016/J.CIE.2020.106355 google scholar
Gupta, H. (2018). Evaluating service quality of airline industry using hybrid best worst method and VIKOR. Journal of Air Transport Management, 68, 35-47.
https://doi.org/10.1016/j.jairtraman.2017.06.001 google scholar
Ilbahar, E., Cebi, S., & Kahraman, C. (2019, August 1). A state-of-the-art review on multi-attribute renewable energy decision making. Energy Strategy Reviews, Vol. 25, pp. 18-33.
Elsevier Ltd. https:// doi.org/10.1016/j.esr.2019.04.014 google scholar
Johns, N. (1992). Quality Management in the Hospitality Industry: Part 1. Definition and Specification. International Journal of Contemporary Hospitality Management, 4(3), 14-20.
https://doi. org/10.1108/09596119210014219 google scholar
Kadlubek, M., & Grabara, J. (2015). Customers’ expectations and experiences within chosen aspects of logistic customer service quality. International Journal for Quality Research,
9(2), 265-278. google scholar
Kang, D., Jang, W., & Park, Y. (2016). Evaluation of e-commerce websites using fuzzy hierarchical TOPSIS based on E-S-QUAL. Applied Soft Computing Journal, 42, 53-65.
https://doi.org/10.1016/j. asoc.2016.01.017 google scholar
Kersuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). Journal of
Business Economics and Management, 11(2). google scholar
Kheybari, S., Kazemi, M., & Rezaei, J. (2019). Bioethanol facility location selection using best-worst method. Applied Energy, 242, 612-623. https://doi.Org/10.1016/j.apenergy.2019.03.054
google scholar
König, C., Caldwell, N. D., & Ghadge, A. (2019). Service provider boundaries in competitive markets: the case of the logistics industry. International Journal of Production Research,
57(18), 5624-5639. https:// doi.org/10.1080/00207543.2018.1535203 google scholar
Kyriakopoulos, G. (2011). The role of quality management for effective implementation of customer satisfaction, customer consultation and self-assessment, within service quality
schemes: A review. African Journal of Business Management, 5(12), 4901-4915. https://doi.org/10.5897/AJBM10.1584 google scholar
Liao, H., Mi, X., Yu, Q., & Luo, L. (2019). Hospital performance evaluation by a hesitant fuzzy linguistic best worst method with inconsistency repairing. Journal of Cleaner Production, 232,
657-671. https:// doi.org/10.1016/j.jclepro.2019.05.308 google scholar
Limsomkiat, N., & Vanichchinchai, A. (2019). An analysis of logistics service quality and performance. PervasiveHealth: Pervasive Computing Technologies for Healthcare, 53-56.
https://doi. org/10.1145/3364335.3364353 google scholar
Maghsoodi, A. I., Saghaei, A., & Hafezalkotob, A. (2019). Service quality measurement model integrating an extended SERVQUAL model and a hybrid decision support system.
European Research on Management and Business Economics, 25(3), 151-164. https://doi.org/10.1016/J.IEDEEN.2019.04.004 google scholar
Moslem, S., Alkharabsheh, A., Ismael, K., & Duleba, S. (2020). An Integrated Decision Support Model for Evaluating Public Transport Quality. Applied Sciences, 10(12), 4158.
https://doi.org/10.3390/app10124158 google scholar
Moslem, S., Campisi, T., Szmelter-Jarosz, A., Duleba, S., Nahiduzzaman, K. M., & Tesoriere, G. (2020). Best-worst method for modelling mobility choice after COVID-19: Evidence from
Italy. Sustainability (Switzerland), 12(17), 6824. https://doi.org/10.3390/SU12176824 google scholar
Mou, Q., Xu, Z., & Liao, H. (2016). An intuitionistic fuzzy multiplicative best-worst method for multi-criteria group decision making. Information Sciences, 374, 224-239.
https://doi.org/10.1016/j.ins.2016.08.074 google scholar
Mulat, G. W. (2017). The Effects of Service Quality on Customer Satisfaction: A Study among Private Banks in Mekelle Town. European Journal of Business and Management
Www.Iiste.Org ISSN, 9(13), 72-79. google scholar
Nie, R. xin, Tian, Z. peng, Kwai Sang, C., & Wang, J. qiang. (2020). Implementing healthcare service quality enhancement using a cloud-support QFD model integrated with TODIM
method and linguistic distribution assessments. Journal of the Operational Research Society. https://doi.org/10.1080/01605 682.2020.1824554 google scholar
Omrani, H., Alizadeh, A., & Amini, M. (2020). A new approach based on BWM and MULTIMOORA methods for calculating semi-human development index: An application for provinces
of Iran. Socio-Economic Planning Sciences, 70, 100689. https://doi.org/10.1016/j.seps.2019.02.004 google scholar
Pakdil, F., & Aydin, Ö. (2007). Expectations and perceptions in airline services: An analysis using weighted SERVQUAL scores. Journal of Air Transport Management, 13(4), 229-237.
https://doi.org/10.1016/J. JAIRTRAMAN.2007.04.001 google scholar
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing, 49(4), 41.
https://doi.org/10.2307/1251430 google scholar
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12-40. google
scholar
Pawitra, T. A., & Tan, K. C. (2001). Integrating Servqual and Kano’s model into QFD for service excellence development. Managing Service Quality: An International Journal, 11(6), 418-
430. google scholar
Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega (United Kingdom), 53, 49-57. https://doi.org/10.1016/j.omega.2014.11.009 google scholar
Rezaei, J., Kothadiya, O., Tavasszy, L., & Kroesen, M. (2018). Quality assessment of airline baggage handling systems using SERVQUAL and BWM. Tourism Management, 66, 85-93.
https://doi.org/10.1016/j. tourman.2017.11.009 google scholar
Sivakumar, G., Almehdawe, E., & Kabir, G. (2022). Developing a Decision-Making Framework to Improve Healthcare Service Quality during a Pandemic. Applied System Innovation,
5(1), 3. https://doi.org/10.3390/ ASI5010003 google scholar
Stefano, N. M., Casarotto Filho, N., Barichello, R., & Sohn, A. P. (2015). A fuzzy SERVQUAL based method for evaluated of service quality in the hotel industry. Procedia CIRP, 30, 433-438.
Elsevier B.V https:// doi.org/10.1016/j.procir.2015.02.140 google scholar
Suria, H., Ahmad, F. M., & Siti, N. S. (2019). Bus service indicator: The different sight of performance index development. Journal of Physics: Conference Series, 1349(1).
https://doi.org/10.1088/1742-6596/1349/1/012049 google scholar
Tumsekcali, E., Ayyildiz, E., & Taskin, A. (2021). Interval valued intuitionistic fuzzy AHP-WASPAS based public transportation service quality evaluation by a new extension of SERVQUAL
Model: P-SERVQUAL 4.0. Expert Systems with Applications, 186, 115757. https://doi.org/10.1016/J.ESWA.2021.115757 google scholar
Wetzel, P., & Hofmann, E. (2020). Toward a Multi-Sided Model of Service Quality for Logistics Service Providers. Administrative Sciences 2020, Vol. 10, Page 79, 10(4), 79.
https://doi.org/10.3390/ ADMSCI10040079 google scholar
Yalcin Kavus, B., Gulum 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, 102179. https://doi.org/10.1016/J.JAIRTRAMAN.2021.102179 google scholar
Prioritizing the Service Quality Dimensions of Logistics Service Providers Using SERVQUAL-Based Best–Worst Method
Year 2022,
Volume: 7 Issue: 1, 117 - 135, 31.05.2022
The level of service quality for airline transportation, where demand is increasing daily, is vital and must be determined. For companies to compete in the market and increase their service quality, they must know their customers well, analyze their expectations correctly, and make improvements. In this context, the SERVQUAL model is one of the most preferred and effective tools for measuring service quality. However, customers’ expectations cannot be included in the process using the traditional SERVQUAL model, especially with the effects of radical changes, such as the pandemic, and the development and transformation of emerging technology trends. Therefore, this study extends the traditional SERVQUAL model with four novel dimensions considering the expectations for logistics service providers, thereby providing a more comprehensive framework. Subsequently, the importance level of each dimension is determined and modeled through a multicriteria decision-making problem. Furthermore, the importance levels of the dimensions are determined using the best–worst method. A comparative analysis is conducted to examine the consistency of the proposed method. The results reveal that the most important service quality dimension is “responsiveness.” In addition, the “competence” and “reliability” dimensions should be considered to increase service quality.
Aagja, J. P., & Garg, R. (2010). Measuring perceived service quality for public hospitals (PubHosQual) in the Indian context. International Journal of Pharmaceutical and Healthcare Marketing, 4(1), 60-83. https://doi.org/10.1108/17506121011036033 google scholar
Aktas, E., & Ulengin, F. (2005). Outsourcing logistics activities in Turkey. Journal of Enterprise Information Management, 18(3), 316-329. https://doi.org/10.1108/17410390510591996 google
scholar
Asiamah, N., Frimpong Opuni, F., Aggrey, M., & Adu-Gyamfi, K. (2021). ADAPTED SERVQUAL: A Health Service Quality Scale Incorporating Indicators of Sanitation and Hygiene. Quality
Management in Health Care. https://doi.org/10.1097/QMH.0000000000000269 google scholar
Awasthi, A., Chauhan, S. S., Omrani, H., & Panahi, A. (2011). A hybrid approach based on SERVQUAL and fuzzy TOPSIS for evaluating transportation service quality. Computers and
Industrial Engineering, 61(3), 637-646. https://doi.org/10.1016/j.cie.2011.04.019 google scholar
Ayyildiz, E., & Taskin Gumus, A. (2021). Interval-valued Pythagorean fuzzy AHP method-based supply chain performance evaluation by a new extension of SCOR model: SCOR 4.0.
Complex & Intelligent Systems, 7(1), 559-576. https://doi.org/10.1007/s40747-020-00221-9 google scholar
Ayyildiz, E., Yildiz, A., Taskin Gumus, A., & Ozkan, C. (2021). An Integrated Methodology Using Extended Swara and Dea for the Performance Analysis of Wastewater Treatment Plants:
Turkey Case. Environmental Management, 67(3), 449-467. https://doi.org/10.1007/s00267-020-01381-7 google scholar
Baber, H. (2019). E-SERVQUAL and its impact on the performance of Islamic Banks in Malaysia from the customer’s perspective. Journal of Asian Finance, Economics and Business,
6(1), 169-175. https://doi. org/10.13106/JAFEB.2019 google scholar
Baki, B., Sahin Basfirinci, C., Murat ar, I., & Cilingir, Z. (2009). An application of integrating SERVQUAL and Kano’s model into QFD for logistics services:A case study from Turkey. Asia
Pacific Journal of Marketing and Logistics, 21(1), 106-126. https://doi.org/10.1108/13555850910926272 google scholar
Chen, D., Faibil, D., & Agyemang, M. (2020). Evaluating critical barriers and pathways to implementation of e-waste formalization management systems in Ghana: a hybrid BWM and
fuzzy TOPSIS approach. Environmental Science and Pollution Research, 27(35), 44561-44584. https://doi.org/10.1007/s11356-020-10360-8 google scholar
Del Castillo, J. M., & Benitez, F. G. (2012). A Methodology for Modeling and Identifying Users Satisfaction Issues in Public Transport Systems Based on Users Surveys. Procedia - Social
and Behavioral Sciences, 54, 1104-1114. https://doi.org/10.1016/j.sbspro.2012.09.825 google scholar
Farooq, M. S., Salam, M., Fayolle, A., Jaafar, N., & Ayupp, K. (2018). Impact of service quality on customer satisfaction in Malaysia airlines: A PLS-SEM approach. Journal of Air Transport
Management, 67, 169-180. https://doi.org/10.1016/J.JAIRTRAMAN.2017.12.008 google scholar
Fei, L., Lu, J., & Feng, Y. (2020). An extended best-worst multi-criteria decision-making method by belief functions and its applications in hospital service evaluation. Computers and
Industrial Engineering, 142. https://doi.org/10.1016/J.CIE.2020.106355 google scholar
Gupta, H. (2018). Evaluating service quality of airline industry using hybrid best worst method and VIKOR. Journal of Air Transport Management, 68, 35-47.
https://doi.org/10.1016/j.jairtraman.2017.06.001 google scholar
Ilbahar, E., Cebi, S., & Kahraman, C. (2019, August 1). A state-of-the-art review on multi-attribute renewable energy decision making. Energy Strategy Reviews, Vol. 25, pp. 18-33.
Elsevier Ltd. https:// doi.org/10.1016/j.esr.2019.04.014 google scholar
Johns, N. (1992). Quality Management in the Hospitality Industry: Part 1. Definition and Specification. International Journal of Contemporary Hospitality Management, 4(3), 14-20.
https://doi. org/10.1108/09596119210014219 google scholar
Kadlubek, M., & Grabara, J. (2015). Customers’ expectations and experiences within chosen aspects of logistic customer service quality. International Journal for Quality Research,
9(2), 265-278. google scholar
Kang, D., Jang, W., & Park, Y. (2016). Evaluation of e-commerce websites using fuzzy hierarchical TOPSIS based on E-S-QUAL. Applied Soft Computing Journal, 42, 53-65.
https://doi.org/10.1016/j. asoc.2016.01.017 google scholar
Kersuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). Journal of
Business Economics and Management, 11(2). google scholar
Kheybari, S., Kazemi, M., & Rezaei, J. (2019). Bioethanol facility location selection using best-worst method. Applied Energy, 242, 612-623. https://doi.Org/10.1016/j.apenergy.2019.03.054
google scholar
König, C., Caldwell, N. D., & Ghadge, A. (2019). Service provider boundaries in competitive markets: the case of the logistics industry. International Journal of Production Research,
57(18), 5624-5639. https:// doi.org/10.1080/00207543.2018.1535203 google scholar
Kyriakopoulos, G. (2011). The role of quality management for effective implementation of customer satisfaction, customer consultation and self-assessment, within service quality
schemes: A review. African Journal of Business Management, 5(12), 4901-4915. https://doi.org/10.5897/AJBM10.1584 google scholar
Liao, H., Mi, X., Yu, Q., & Luo, L. (2019). Hospital performance evaluation by a hesitant fuzzy linguistic best worst method with inconsistency repairing. Journal of Cleaner Production, 232,
657-671. https:// doi.org/10.1016/j.jclepro.2019.05.308 google scholar
Limsomkiat, N., & Vanichchinchai, A. (2019). An analysis of logistics service quality and performance. PervasiveHealth: Pervasive Computing Technologies for Healthcare, 53-56.
https://doi. org/10.1145/3364335.3364353 google scholar
Maghsoodi, A. I., Saghaei, A., & Hafezalkotob, A. (2019). Service quality measurement model integrating an extended SERVQUAL model and a hybrid decision support system.
European Research on Management and Business Economics, 25(3), 151-164. https://doi.org/10.1016/J.IEDEEN.2019.04.004 google scholar
Moslem, S., Alkharabsheh, A., Ismael, K., & Duleba, S. (2020). An Integrated Decision Support Model for Evaluating Public Transport Quality. Applied Sciences, 10(12), 4158.
https://doi.org/10.3390/app10124158 google scholar
Moslem, S., Campisi, T., Szmelter-Jarosz, A., Duleba, S., Nahiduzzaman, K. M., & Tesoriere, G. (2020). Best-worst method for modelling mobility choice after COVID-19: Evidence from
Italy. Sustainability (Switzerland), 12(17), 6824. https://doi.org/10.3390/SU12176824 google scholar
Mou, Q., Xu, Z., & Liao, H. (2016). An intuitionistic fuzzy multiplicative best-worst method for multi-criteria group decision making. Information Sciences, 374, 224-239.
https://doi.org/10.1016/j.ins.2016.08.074 google scholar
Mulat, G. W. (2017). The Effects of Service Quality on Customer Satisfaction: A Study among Private Banks in Mekelle Town. European Journal of Business and Management
Www.Iiste.Org ISSN, 9(13), 72-79. google scholar
Nie, R. xin, Tian, Z. peng, Kwai Sang, C., & Wang, J. qiang. (2020). Implementing healthcare service quality enhancement using a cloud-support QFD model integrated with TODIM
method and linguistic distribution assessments. Journal of the Operational Research Society. https://doi.org/10.1080/01605 682.2020.1824554 google scholar
Omrani, H., Alizadeh, A., & Amini, M. (2020). A new approach based on BWM and MULTIMOORA methods for calculating semi-human development index: An application for provinces
of Iran. Socio-Economic Planning Sciences, 70, 100689. https://doi.org/10.1016/j.seps.2019.02.004 google scholar
Pakdil, F., & Aydin, Ö. (2007). Expectations and perceptions in airline services: An analysis using weighted SERVQUAL scores. Journal of Air Transport Management, 13(4), 229-237.
https://doi.org/10.1016/J. JAIRTRAMAN.2007.04.001 google scholar
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing, 49(4), 41.
https://doi.org/10.2307/1251430 google scholar
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12-40. google
scholar
Pawitra, T. A., & Tan, K. C. (2001). Integrating Servqual and Kano’s model into QFD for service excellence development. Managing Service Quality: An International Journal, 11(6), 418-
430. google scholar
Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega (United Kingdom), 53, 49-57. https://doi.org/10.1016/j.omega.2014.11.009 google scholar
Rezaei, J., Kothadiya, O., Tavasszy, L., & Kroesen, M. (2018). Quality assessment of airline baggage handling systems using SERVQUAL and BWM. Tourism Management, 66, 85-93.
https://doi.org/10.1016/j. tourman.2017.11.009 google scholar
Sivakumar, G., Almehdawe, E., & Kabir, G. (2022). Developing a Decision-Making Framework to Improve Healthcare Service Quality during a Pandemic. Applied System Innovation,
5(1), 3. https://doi.org/10.3390/ ASI5010003 google scholar
Stefano, N. M., Casarotto Filho, N., Barichello, R., & Sohn, A. P. (2015). A fuzzy SERVQUAL based method for evaluated of service quality in the hotel industry. Procedia CIRP, 30, 433-438.
Elsevier B.V https:// doi.org/10.1016/j.procir.2015.02.140 google scholar
Suria, H., Ahmad, F. M., & Siti, N. S. (2019). Bus service indicator: The different sight of performance index development. Journal of Physics: Conference Series, 1349(1).
https://doi.org/10.1088/1742-6596/1349/1/012049 google scholar
Tumsekcali, E., Ayyildiz, E., & Taskin, A. (2021). Interval valued intuitionistic fuzzy AHP-WASPAS based public transportation service quality evaluation by a new extension of SERVQUAL
Model: P-SERVQUAL 4.0. Expert Systems with Applications, 186, 115757. https://doi.org/10.1016/J.ESWA.2021.115757 google scholar
Wetzel, P., & Hofmann, E. (2020). Toward a Multi-Sided Model of Service Quality for Logistics Service Providers. Administrative Sciences 2020, Vol. 10, Page 79, 10(4), 79.
https://doi.org/10.3390/ ADMSCI10040079 google scholar
Yalcin Kavus, B., Gulum 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, 102179. https://doi.org/10.1016/J.JAIRTRAMAN.2021.102179 google scholar
Ayyıldız, E. (2022). Lojistik Servis Sağlayıcılarının Hizmet Kalitesi Boyutlarının SERVQUAL Temelli Best-Worst Yöntemi Kullanılarak Önceliklendirilmesi. Journal of Transportation and Logistics, 7(1), 117-135. https://doi.org/10.26650/JTL.2022.1038781
AMA
Ayyıldız E. Lojistik Servis Sağlayıcılarının Hizmet Kalitesi Boyutlarının SERVQUAL Temelli Best-Worst Yöntemi Kullanılarak Önceliklendirilmesi. JTL. May 2022;7(1):117-135. doi:10.26650/JTL.2022.1038781
Chicago
Ayyıldız, Ertuğrul. “Lojistik Servis Sağlayıcılarının Hizmet Kalitesi Boyutlarının SERVQUAL Temelli Best-Worst Yöntemi Kullanılarak Önceliklendirilmesi”. Journal of Transportation and Logistics 7, no. 1 (May 2022): 117-35. https://doi.org/10.26650/JTL.2022.1038781.
EndNote
Ayyıldız E (May 1, 2022) Lojistik Servis Sağlayıcılarının Hizmet Kalitesi Boyutlarının SERVQUAL Temelli Best-Worst Yöntemi Kullanılarak Önceliklendirilmesi. Journal of Transportation and Logistics 7 1 117–135.
IEEE
E. Ayyıldız, “Lojistik Servis Sağlayıcılarının Hizmet Kalitesi Boyutlarının SERVQUAL Temelli Best-Worst Yöntemi Kullanılarak Önceliklendirilmesi”, JTL, vol. 7, no. 1, pp. 117–135, 2022, doi: 10.26650/JTL.2022.1038781.
ISNAD
Ayyıldız, Ertuğrul. “Lojistik Servis Sağlayıcılarının Hizmet Kalitesi Boyutlarının SERVQUAL Temelli Best-Worst Yöntemi Kullanılarak Önceliklendirilmesi”. Journal of Transportation and Logistics 7/1 (May 2022), 117-135. https://doi.org/10.26650/JTL.2022.1038781.
JAMA
Ayyıldız E. Lojistik Servis Sağlayıcılarının Hizmet Kalitesi Boyutlarının SERVQUAL Temelli Best-Worst Yöntemi Kullanılarak Önceliklendirilmesi. JTL. 2022;7:117–135.
MLA
Ayyıldız, Ertuğrul. “Lojistik Servis Sağlayıcılarının Hizmet Kalitesi Boyutlarının SERVQUAL Temelli Best-Worst Yöntemi Kullanılarak Önceliklendirilmesi”. Journal of Transportation and Logistics, vol. 7, no. 1, 2022, pp. 117-35, doi:10.26650/JTL.2022.1038781.
Vancouver
Ayyıldız E. Lojistik Servis Sağlayıcılarının Hizmet Kalitesi Boyutlarının SERVQUAL Temelli Best-Worst Yöntemi Kullanılarak Önceliklendirilmesi. JTL. 2022;7(1):117-35.