Research Article


DOI :10.26650/acin.1165378   IUP :10.26650/acin.1165378    Full Text (PDF)

Determining Online Travel Planning with AHP and TOPSIS Methods

Abdullah ErenHeersh Azeez Khorsheed

Online shopping has become increasingly popular in recent years. Online shopping transactions, which are frequently carried out by consumers all over the world, are also very common in the tourism sector. Users avail themselves of a variety of alternative platforms such as websites, social media or recommendation systems in order to realize their travel plans. Travel transactions can be performed through many applications and platforms. Therefore, it is becoming increasingly important to make the right choice of platform in order to perform faster transactions and make the right decisions. Accordingly, it can sometimes be a difficult process for the user who intends to plan a journey choosing the most suitable online platform from among many alternatives. This study investigated which criteria are important in order to make online travel transactions. In addition, the study included research into which platforms the users can choose in accordance with the determined criteria. Thus, the correct order of the alternatives that people can choose is revealed. In the study, AHP and TOPSIS methods, which are multi-criteria decision-making methods, were preferred. Content quality, usefulness, satisfaction, interaction opportunity, accessibility and web design criteria were used as the main criteria. In addition, sub-criteria of the main criteria were also evaluated. Alternative options were determined such as websites, blogs, Instagram, Facebook, Twitter, Google Comments. The study concludes that the content quality feature is the most important criterion in online travel transactions. Of all the online platforms, websites took the first place among the determined alternatives.

DOI :10.26650/acin.1165378   IUP :10.26650/acin.1165378    Full Text (PDF)

Çevrimiçi Seyahat Planlamalarının AHP ve TOPSIS Yöntemleri ile Belirlenmesi

Abdullah ErenHeersh Azeez Khorsheed

Online alışveriş günümüzde oldukça popüler hale gelmiştir. Tüm dünyada sıklıkla kullanılan bu işlemler turizm sektöründe de oldukça yaygındır. Kullanıcılar seyahat planlamalarını gerçekleştirmek adına web siteleri, sosyal medya veya öneri sistemleri gibi alternatif platformları kullanabilmektedirler. Bu bağlamda seyahat işlemleri birçok uygulama ve platform üzerinden yapılabilmektedir. Bu yüzden hızlı işlem yapıp doğru kararlar verebilme adına kullanılacak olan platform önem kazanmaktadır. Buna göre seyahat planlaması yapacak olan kullanıcının birçok alternatif içerisinden en uygun olanı seçmesi bazen zor bir süreç olabilmektedir. Bu çalışmada online olarak seyahat işlemlerini yapabilmek adına hangi kriterlerin önemli olduğu araştırılmıştır. Bununla beraber kullanıcıların belirlenmiş kriterler doğrultusunda hangi platformları tercih edebileceği de araştırılmıştır. Böylelikle kişilerin seçeceği alternatifler içerisinden doğru sıralamanın hangisi olduğu ortaya konulmuştur. Çalışmada çok kriterli karar verme yöntemlerinden AHP ve TOPSIS yöntemleri tercih edilmiştir. Çalışmada ana kriterler olarak içerik kalitesi, kullanışlılık, memnuniyet, etkileşim imkanı, erişilebilirlik ve web tasarımı kriterleri kullanılmıştır. Ayrıca ana kriterlerin alt kriterleri de değerlendirilmeye alınmıştır. Alternatif seçenekler ise web siteleri, bloglar, Instagram, Facebook, Twitter, Google Yorumlar olarak belirlenmiştir. Çalışma sonucunda online seyahat işlemlerinde içerik kalitesi özelliği en önemli kriter olmuştur. Belirlenmiş alternatifler içerisinden ilk sırayı web siteleri almıştır.


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References

  • Ahani, A., Nilashi, M., Yadegaridehkordi, E., Sanzogni, L., Tarik, A. R., Knox, K., ... & Ibrahim, O. (2019). Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels. Journal of Retailing and Consumer Services, 51, 331-343. google scholar
  • Al-Harbi, K. M. A. S. (2001). Application of the AHP in project management. International journal of project management, 19(1), 19-27. google scholar
  • Akgün, İ., & Erdal, H. (2019). Solving an ammunition distribution network design problem using multi-objective mathematical modeling, combined AHP-TOPSIS, and GIS. Computers & Industrial Engineering, 129, 512-528. google scholar
  • Alptekin, G. I., & Büyüközkan, G. (2011). An integrated case-based reasoning and MCDM system for Web based tourism destination planning. Expert Systems with Applications, 38(3), 2125-2132. google scholar
  • Alshibly, H. H. (2014). Evaluating E-HRM success: A validation of the information systems success model. International Journal of Human Resource Studies, 4(3), 107-124. google scholar
  • Arora, M., & Gupta, A. (2017). E-Governance Parameters Assessment: An AHP Approach. Indian Journal of Computer Science, 2(1), 16-22. google scholar
  • Aurum, A., & Wohlin, C. (2003). The fundamental nature of requirements engineering activities as a decision-making process. Information and Software Technology, 45(14), 945-954. google scholar
  • Badri, M. A. (1999). Combining the analytic hierarchy process and goal programming for global facility location-allocation problem. International journal of production economics, 62(3), 237-248. google scholar
  • Baki, R. (2020). Evaluating hotel websites through the use of fuzzy AHP and fuzzy TOPSIS. International Journal of Contemporary Hospitality Management. google scholar
  • Balouchi, M., & Khanmohammadi, E. (2015). Using logarithmic fuzzy preference programming to prioritization social media utilization based on tourists’ perspective. Foundations of Management, 7(1), 7-18. google scholar
  • Bhole, G. P., & Deshmukh, T. (2018). Multi-criteria decision making (MCDM) methods and its applications. International Journal for Research in Applied Science & Engineering Technology (IJRASET), 6(5), 899-915. google scholar
  • Bire, R. B., Conterius, A. L., & Nasar, A. (2021, April). Tourist preference and destination competitiveness using the AHP-TOPSIS hybrid model. In International Conference on Applied Science and Technology on Social Science (ICAST-SS 2020) (pp. 43-48). Atlantis Press. google scholar
  • Bire, R. B., Nugraha, Y. E., & Welly, F. R. A. (2021). A fuzzy-analytic hierarchy process of tourism supply chain performance: customer perspectives. Enlightening Tourism. A Pathmaking Journal, 11(2), 531-557. google scholar
  • Chaudhari, K., & Thakkar, A. (2020). A comprehensive survey on travel recommender systems. Archives of Computational Methods in Engineering, 27(5), 1545-1571. google scholar
  • Chen, C. W. D., & Cheng, C. Y. J. (2009). Understanding consumer intention in online shopping: a respecification and validation of the DeLone and McLean model. Behaviour & Information Technology, 28(4), 335-345. google scholar
  • Chen, T., & Wang, Y. C. (2021). A calibrated piecewise-linear FGM approach for travel destination recommendation during the COVID-19 pandemic. Applied Soft Computing, 109, 107535. google scholar
  • Cheng, Y. M. (2012). Effects of quality antecedents on e-learning acceptance. Internet Research. google scholar
  • Cheng, Y. M. (2014). Why do users intend to continue using the digital library? An integrated perspective. Aslib Journal of Information Management. google scholar
  • Choedon, T., & Lee, Y. C. (2018). Classification and evaluation of service requirements in mobile tourism application using Kano model and AHP. The Journal of Information Systems, 27(1), 43-65. google scholar
  • Choi, M., Law, R., & Heo, C. Y. (2018). An investigation of the perceived value of shopping tourism. Journal of travel Research, 57(7), 962-980. google scholar
  • Chowdhury, P., & Paul, S. K. (2020). Applications of MCDM methods in research on corporate sustainability: A systematic literature review. Management of Environmental Quality: An International Journal. google scholar
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340. google scholar
  • DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information systems research, 3(1), 60-95. google scholar
  • DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19(4), 9-30. google scholar
  • De Wulf, K., Schillewaert, N., Muylle, S., & Rangarajan, D. (2006). The role of pleasure in web site success. Information & Management, 43(4), 434-446. google scholar
  • Do, T. H. N., & Shih, W. (2016). Destination decision-making process based on a hybrid MCDM model combining DEMATEL and ANP: The Case of Vietnam as a Destination. Modern Economy, 7(09), 966. google scholar
  • Eren, A., & Kaya, M. D. (2019). İş Zekâsı Sistemlerinde Karar Verme Başarısının İncelenmesi. Business & Management Studies: An International Journal, 7(5), 2148-2176. google scholar
  • Ersöz, F., & Kabak, M. (2010). Savunma sanayi uygulamalarinda çok kriterli karar verme yöntemlerinin literatür araştirmasi. Savunma Bilimleri Dergisi, 9(1), 97-125. google scholar
  • Filip, F. G. (2014). A decision-making perspective for designing and building information systems. International Journal of Computers Communications & Control, 7(2), 264-272. google scholar
  • Franek, J., & Kresta, A. (2014). Judgment scales and consistency measure in AHP. Procedia Economics and Finance, 12, 164-173. google scholar
  • Gohil, N. (2015). Role and impact of social media in tourism: a case study on the initiatives of Madhya Pradesh State Tourism. International Journal of Research in Economics and Social Sciences, 5(4), 8-15. google scholar
  • GuestCentric (2021). Oteller için Sosyal Medya, 2021, Retrieved September 1, 2021, from https://blog.guestcentric.com/ social-media-for-hotels-is-it-worth-it/ google scholar
  • Gul, S., & Topcu, I. (2015). A multi-attribute decision support model for the selection of touristic activities. International Journal of the Analytic Hierarchy Process, 7(3). google scholar
  • Hänninen, M., Smedlund, A., & Mitronen, L. (2018). Digitalization in retailing: multi-sided platforms as drivers of industry transformation. Baltic Journal of Management, 13(2), 152-168. google scholar
  • Hussain, T., Li, B., & Wang, D. (2018). What factors influence the sustainable tour process in social media usage? Examining a rural mountain region in Pakistan. Sustainability, 10(7), 2220. google scholar
  • Hwang, C. L., & Yoon, K. (1981). Methods for multiple attribute decision making. In Multiple attribute decision making (pp. 58-191). Springer, Berlin, Heidelberg. google scholar
  • Ip, C., Law, R., & Lee, H. A. (2012). The evaluation of hotel website functionality by fuzzy analytic hierarchy process. Journal of Travel & Tourism Marketing, 29(3), 263-278. google scholar
  • Jiaoman, D., Lei, L., & Xiang, L. (2018, October). Travel planning problem considering site selection and itinerary making. In Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems (pp. 29-36). google scholar
  • Karaatli, M., Ömürbek, N., Budak, İ., & Okan, D. A. Ğ. (2015). Çok kriterli karar verme yöntemleri ile yaşanabilir illerin sıralanması. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (33), 215-228. google scholar
  • Kutbi, A., & Alomar, M. (2017). The Importance of Social Media in Education and Prioritizing Process. Journal of King Abdulaziz University, 28(2), 27-37. google scholar
  • Lee, Y. W., Strong, D. M., Kahn, B. K., & Wang, R. Y. (2002). AIMQ: a methodology for information quality assessment. Information & management, 40(2), 133-146. google scholar
  • Lin, C. C. (2021). Investigating complimentary e-marketing strategy for small-and medium-sized enterprises at growth stage in taiwan. Information, 12(9), 380. google scholar
  • Lin, H. F. (2010). An application of fuzzy AHP for evaluating course website quality. Computers & Education, 54(4), 877-888. google scholar
  • Lin, Y. H., & Chen, C. F. (2013). Passengers’ shopping motivations and commercial activities at airports-The moderating effects of time pressure and impulse buying tendency. Tourism Management, 36, 426-434. google scholar
  • Mamula-Nikolic, T., Percic, K., & Necak, M. (2022). Designing a sustainable brand by engaging brand-consumers’ collaboration Generation Z co-creators and influencers in Serbia. Marketing, 53(1), 37-50. google scholar
  • Mardiana, S., Tjakraatmadja, J. H., & Aprianingsih, A. (2015). DeLone-McLean information system success model revisited: The separation of intention to use-use and the integration of technology acceptance models. International Journal of Economics and Financial Issues, 5(1), 172-182. google scholar
  • Mariani, M. M., Mura, M., & Di Felice, M. (2018). The determinants of Facebook social engagement for national tourism organizations’ Facebook pages: A quantitative approach. Journal of Destination Marketing & Management, 8, 312-325. google scholar
  • Narangajavana, Y., Fiol, L. J. C., Tena, M. Â. M., Artola, R. M. R., & García, J. S. (2017). The influence of social media in creating expectations. An empirical study for a tourist destination. Annals of Tourism Research, 65, 60-70. google scholar
  • Nazarail, N. N., & Kasim, Z. (2021). The selection of social networking sites using fuzzy analytical hierarchy process. ESTEEM Academic Journal, 17, 1-11. google scholar
  • Olorunniwo, F., Hsu, M. K., & Udo, G. J. (2006). Service quality, customer satisfaction, and behavioral intentions in the service factory. Journal of services marketing, 20(1), 59-72. google scholar
  • Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European journal of operational research, 156(2), 445-455. google scholar
  • Park, S. Y., Nam, M. W., & Cha, S. B. (2012). University students’ behavioral intention to use mobile learning: Evaluating the technology acceptance model. British journal of educational te Prabantoro, G., & Hariyanto, J. (2019, February). Social Media Preference as a Media of Business Marketing Communication of SMEs in Rawamangun East Jakarta. In 5th Annual International Conference on Management Research (AICMaR 2018) (pp. 165-169). Atlantis Press.chnology, 43(4), 592-605. google scholar
  • Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: models, dimensions, measures, and interrelationships. European journal of information systems, 17, 236-263. google scholar
  • Pop, R. A., Sâplâcan, Z., Dabija, D. C., & Alt, M. A. (2021). The impact of social media influencers on travel decisions: The role of trust in consumer decision journey. Current Issues in Tourism, 1-21. google scholar
  • Putri, D. A., & Alawiah, E. T. (2021). Decision Support System To Choose The Best Social Media Platform For Product Marketing Using Topsis Method. IJISTECH (International Journal of Information System and Technology), 5(4), 394-399. google scholar
  • Rai, A., Lang, S. S., & Welker, R. B. (2002). Assessing the validity of IS success models: An empirical test and theoretical analysis. Information systems research, 13(1), 50-69. google scholar
  • Rathore, A. K., Joshi, U. C., & Ilavarasan, P. V. (2017). Social media usage for tourism: A case of Rajasthan tourism. Procedia computer science, 122, 751-758. google scholar
  • Saaty, T. L. (2008). Decision making with the analytic hierarchy process. Int. J. Services Sciences, 1(1), 83-98. google scholar
  • Saaty, T. L. (1990). How to make a decision: the analytic hierarchy process. European journal of operational research, 48(1), 9-26. google scholar
  • Saaty Thomas, L. (1980). The analytic Hierarchy process. New York: McGrow-Hill. google scholar
  • Sari, N. K. A. P. (2021). Implementation of the AHP-SAW method in the decision support system for selecting the best tourism village. Jurnal Teknik Informatika CIT Medicom, 13(1), 24-35. google scholar
  • Setiawan, B., Trisdyani, N. L. P., Adnyana, P. P., Adnyana, I. N., Wiweka, K., & Wulandani, H. R. (2018). The profile and behaviour of ‘digital tourists’ when making decisions concerning travelling case study: Generation Z in South Jakarta. Advances in research, 17(2), 1-13. google scholar
  • Shapira, A., & Goldenberg, M. (2005). AHP-based equipment selection model for construction projects. Journal of construction engineering and management, 131(12), 1263-1273. google scholar
  • Sirsat, S. S., & Sirsat, M. S. (2016). A validation of the DeLone and McLean model on the educational information system of the Maharashtra State (India). International Journal of Education and Learning Systems, 1. google scholar
  • Stevie, Z., Karamaşa, Ç., Demir, E., & Korucuk, S. (2021). Assessing sustainable production under circular economy context using a novel rough-fuzzy MCDM model: A case of the forestry industry in the Eastern Black Sea region. Journal of Enterprise Information Management. google scholar
  • Sun, C. C. (2010). A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert systems with applications, 37(12), 7745-7754. google scholar
  • Tang, C., & Ngerng, M. (2015). How do students select social networking sites? An analytic hierarchy process (AHP) model. International Journal of Cyber Society and Education, 8(2), 81-98. google scholar
  • Thuy, H. T. H., Hieu, V. M., & Duy, B. P. M. (2021). Intention to use facebook for travel planning: An investigation on generation Z users in Ho Chi Minh city. Webology, 18(Special Issue on Information Retrieval and Web Search), 92-106. google scholar
  • Tseng, A. (2017). Why do online tourists need sellers’ ratings? Exploration of the factors affecting regretful tourist e-satisfaction. Tourism Management, 59, 413-424. google scholar
  • Tseng, T. H., Wang, Y. S., & Tsai, Y. C. (2021). Applying an AHP Technique for Developing A Website Model of Third-Party Booking System. Journal of Hospitality & Tourism Research, 45(8), 1440-1463. google scholar
  • TURKSTAT (2021). Hanehalkı Bilişim Teknolojileri (BT) Kullanım Araştırması, 2021, Retrieved September 5, 2022, from https://data.tuik.gov.tr/Bulten/Index?p=Hanehalki-Bilisim-Teknolojileri-(BT)-Kullanim-Arastirmasi-2021-37437 google scholar
  • Urbach, N., & Müller, B. (2012). The updated DeLone and McLean model of information systems success. Information Systems Theory: Explaining and Predicting Our Digital Society, Vol. 1, 1-18. google scholar
  • Usui, R., Wei, X., & Funck, C. (2018). The power of social media in regional tourism development: a case study from Ökunoshima Island in Hiroshima, Japan. Current Issues in Tourism, 21(18), 2052-2056. google scholar
  • Vieira, G. L. (2018). Trip-Planning Optimization: Minimizing Cost and Travel Time in Itineraries with Multiple Destinations (Doctoral dissertation, MSc. Thesis., School of Engineering, Federal University of Minas Gerais). google scholar
  • Wang, L., Ali, Y., Nazir, S., & Niazi, M. (2020). ISA evaluation framework for security of internet of health things system using AHP-TOPSIS methods. IEEE Access, 8, 152316-152332. google scholar
  • Wang, Y. Y., Wang, Y. S., Lin, H. H., & Tsai, T. H. (2019). Developing and validating a model for assessing paid mobile learning app success. Interactive Learning Environments, 27(4), 458-477. google scholar
  • Wang, Y. S. (2008). Assessing e-commerce systems success: a respecification and validation of the DeLone and McLean model of IS success. Information systems journal, 18(5), 529-557. google scholar
  • Wang, Y. S., Wang, H. Y., & Shee, D. Y. (2007). Measuring e-learning systems success in an organizational context: Scale development and validation. Computers in Human Behavior, 23(4), 1792-1808. google scholar
  • Zanna, M., & Xuedong, G. (2016). DMO tourism website’s success evaluation model and framework. European journal of economics and management sciences, (4). google scholar
  • Zviran, M., & Erlich, Z. (2003). Measuring IS user satisfaction: review and implications. Communications of the Association for Information Systems, 12(1), 5. google scholar

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APA

Eren, A., & Khorsheed, H.A. (2023). Determining Online Travel Planning with AHP and TOPSIS Methods. Acta Infologica, 7(1), 29-45. https://doi.org/10.26650/acin.1165378


AMA

Eren A, Khorsheed H A. Determining Online Travel Planning with AHP and TOPSIS Methods. Acta Infologica. 2023;7(1):29-45. https://doi.org/10.26650/acin.1165378


ABNT

Eren, A.; Khorsheed, H.A. Determining Online Travel Planning with AHP and TOPSIS Methods. Acta Infologica, [Publisher Location], v. 7, n. 1, p. 29-45, 2023.


Chicago: Author-Date Style

Eren, Abdullah, and Heersh Azeez Khorsheed. 2023. “Determining Online Travel Planning with AHP and TOPSIS Methods.” Acta Infologica 7, no. 1: 29-45. https://doi.org/10.26650/acin.1165378


Chicago: Humanities Style

Eren, Abdullah, and Heersh Azeez Khorsheed. Determining Online Travel Planning with AHP and TOPSIS Methods.” Acta Infologica 7, no. 1 (Mar. 2024): 29-45. https://doi.org/10.26650/acin.1165378


Harvard: Australian Style

Eren, A & Khorsheed, HA 2023, 'Determining Online Travel Planning with AHP and TOPSIS Methods', Acta Infologica, vol. 7, no. 1, pp. 29-45, viewed 3 Mar. 2024, https://doi.org/10.26650/acin.1165378


Harvard: Author-Date Style

Eren, A. and Khorsheed, H.A. (2023) ‘Determining Online Travel Planning with AHP and TOPSIS Methods’, Acta Infologica, 7(1), pp. 29-45. https://doi.org/10.26650/acin.1165378 (3 Mar. 2024).


MLA

Eren, Abdullah, and Heersh Azeez Khorsheed. Determining Online Travel Planning with AHP and TOPSIS Methods.” Acta Infologica, vol. 7, no. 1, 2023, pp. 29-45. [Database Container], https://doi.org/10.26650/acin.1165378


Vancouver

Eren A, Khorsheed HA. Determining Online Travel Planning with AHP and TOPSIS Methods. Acta Infologica [Internet]. 3 Mar. 2024 [cited 3 Mar. 2024];7(1):29-45. Available from: https://doi.org/10.26650/acin.1165378 doi: 10.26650/acin.1165378


ISNAD

Eren, Abdullah - Khorsheed, HeershAzeez. Determining Online Travel Planning with AHP and TOPSIS Methods”. Acta Infologica 7/1 (Mar. 2024): 29-45. https://doi.org/10.26650/acin.1165378



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Submitted22.08.2022
Accepted21.02.2023
Published Online14.04.2023

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