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The Evaluation of Tourists’ Online Purchasing Behaviors Using Technology Acceptance Model (TAM)

Year 2021, Volume: 9 Issue: 1, 29 - 37, 22.02.2021
https://doi.org/10.18506/anemon.627416

Abstract

Today, tourists increasingly purchase holiday packages online rather than traditional purchasing method. However, research give more importance to online travel purchasing and online purchasing behaviors of tourists. In this context, the purpose of this study is to find out online holiday purchasing behaviors of tourists using TAM and the relationships between purchasing behaviors of tourists with TAM. For this purpose, data were collected from 403 academic staff working at Karabük University using a structured questionnaire. Results show that perceived ease of use, perceived usefulness and trust had positive impact on e-purchase attitudes and intentions of tourists; while perceived risk had negative impacts. Therefore, tourism enterprises should organize their websites considering tourists’ internet purchasing behaviors.

References

  • Adli, F., Joshua, H.S., Pujani, V., & Meuthia, L. (2014). E-travel model: an emprical study of technology acceptance model and self efficacy. International Conference on Business, Management &Corporate Social Responsibility (ICBMCSR'14) Feb. 14-15. 2014.
  • Agag, G. & El-Masry, A. A. (2016). Understanding consumer ıntention to participate in online travel community and effects on consumer ıntention to purchase travel online and WOM: An ıntegration of ınnovation diffusion theory and tam withtrust. Computers in Human Behavior, 60, 97-111.
  • Amaro, S. & Duarte, P. (2015). An integrative model of consumers’ intentions to purchase travel online. Tourism Management, 46, 64-79.
  • Anderson, J. J. &Gerbıng, D. G. (1988). Structural equation modeling in practice: a review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423.
  • Bader, A., Baldauf, M., Leinert, S., Matthes, F. & Liebrich, A. (2012). Mobile tourism services and technology acceptance in a mature domestic tourism market: the case of Switzerland. Information and Communication Technologies in Tourism, 296-307.
  • Belkhamza, Z. & Wafa, S.A. (2009). The effect of perceived risk on the ıntention to use e commerce: the case of algeria. Journal of Internet Bankingand Commerce, 14(1), 1-10.
  • Buhalis, D. & Law, R. (2008). Progress in information technology and tourism management: 20 years on and 10 years after the ınternet the state of e-tourism research. Tourism Management, 29 (4), 609-623.
  • Çetinsöz, B. C. (2015). Yerli turistlerin e-satın alma eğilimlerinin teknoloji kabul modelinde analizi (TKM). Elektronik Sosyal Bilimler Dergisi, 14(53), 242-258.
  • Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13 (3), 319-340.
  • Diop EB, Zhao S. & Duy TV (2019). An extension of the technology acceptance model for understanding travelers’ adoption of variable message signs. Plos One 14(4), 1-17.
  • Disztinger, P., Schlögl, S. & Groth, A. (2017). Technology acceptance of virtual reality for travel planning. R. Scheggand B. Stangl (eds.), Information and Communication Technologies in Tourism, 255-268. Field, A. (2000). Discovering statistics using SPSS for Windows. London: SAGE Publication.
  • Fishbein, M. & Ajzen, I. (1975). Belief, attitude, intention and behavior: Introduction to theory and research. Addison-Wesley, Reading, MA. Forsythe, S.M. & Shi, B., (2003). Consumer patronage and risk perceptions in internet shopping. Journal of Business Research, 56, 867-875.
  • Gefen, D., Karahanna, E., & Straub, D.W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27 (1), 51-90.
  • Ghanem, M. M. / Soad Omran Mansour, S. O. Adel, H. (2017). The impact of national culture on the adoption of e-tourism in Egyptian tourism companies. Tourism Original Scientific Paper, 65 (2) 234-246.
  • Gretzel, U., &Yoo, K. H. (2008). Use and impact of online travel reviews. Information and Communication Technologies in Tourism, 35-46.
  • Guo, X., Zheng, X., Ling, L., &Yang, C. (2014). Online coopetition between hotels and online travel agencies: from the perspective of cash back after stay. Tourism Management Perspectives, 12, 104-112.
  • Guritno, S. & Siringoringo, H. (2013). Perceived usefulness, ease of use, and attitude towards online shopping usefulness towards online airlines ticket purchase. Procedia Social and Behavioral Sciences, 81, 212-216.
  • Güney, T., Koçoğlu, C. M. & Özkul, E. (2015). Turizmde Elektronik Pazarlama, (Edit: Mesut Bozkurt ve Bayram Şahin) Turizm Pazarlaması, Paradigma Akademi.
  • Gyampah, K.A. & Salam, A.F. (2004). An Extension of the technology acceptance model in an ERP implementation environment. Information & Management, 41, 731-745.
  • Ibrahim, T. A. (2018). The role of technology acceptance model in explaining University academics acceptance and behavioural intention to use technology in education. 4th International Research Conference on Higher Education, KNE Social Sciences, 1162-1172.
  • Izquierdo-Yusta, A. & Calderon-Monge, E. (2011). Internet as a distribution channel: Emprical evidence from the service sector and managerial opportunities. Journal of Internet Commerce, 10, 106-127.
  • Kim, M.J., Chung, N. & Lee, K.L. (2011). The Effect of perceived trust on electronic commerce: shopping online for tourism products and services in South Korea. Tourism Management, 32, 256-265.
  • Koçoğlu, C. M. (2016). Risk algısının yeniden satın alma davranışı üzerindeki etkisi: havayolu sektöründe bir araştırma. Akademik Bakış Dergisi, 57: 246-163.
  • Kracht, J. & Wang, Y. (2010). Examining the tourism distribution channel: evolution and transformation. International Journal of Contemporary Hospitality Management, 22(5), 736-761.
  • Lam, J.M.S., Tan, S.H. &, Oh, Y.L. (2014). Exploring internet influence towards travel satisfaction. Procedia-Social and Behavioral Sciences, 130, 542-551.
  • Legris, P., Ingham, I. & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information Management, 40 (3), 191-204.
  • Li, Y.H. & Huang, J-W. (2009). Applying Theory of Perceived Risk and Technology Acceptance Model in the online shopping channel. World Academy of Science, Engineering and Technology, 53, 919-925.
  • Liao, Z., & Cheung, M. T. (2001) Internet Based E-Shopping and Consumer Attitudes: An Empirical Study. Information & Management, 38, 299-306.
  • Lin, W. B. (2008). Construction of online consumer behavior models: A comparative study of industries in Taiwan. International Journal of Commerce and Management, 18, 123-149.
  • Ling, K.C., Daud, D.B., Piew, T.H., Keoy, K.H., & Hassan, P. (2011). Perceived risk, perceived technology, online trust for the online purchase ıntention in Malaysia. International Journal of Business and Management, 6 (6), 167-182.
  • Ma, Q. & Liu, L. (2005). The technology acceptance model: a meta-analysis of empirical findings. Journal of Organizational and End User Computing, 16(1), 59-72.
  • Mandilas, A., Karasavvoglou, A., Nikolaidis, M. & Tsourgiannis, L. (2013). Predicting consumer’s perceptions in on-line shopping. Procedia Technology, 8, 435-444.
  • Matikiti, R., Mpinganjira, M. & Roberts-Lombard, M. (2018). Application of the technology acceptance model and the technology–organisation–environment model to examine socialmedia marketing use in the South African tourism industry. South African Journal of Information Management, 20(1), 1-12.
  • Moon, Y. & Hwang, J. (2018). Crowd funding as an alternative means for funding sustainable appropriate technology: acceptance determinants of backers. Sustainability, 10(5), 1-18.
  • Ndubisi, N.O. & Jantan, M. (2003). Evaluating ıs usage in Malaysian small and medium sized firms using the technology acceptance model. Logistics Information Management, 16(6), 440-450.
  • Nizar, N. N. M. & Rahmat, M. K. (2018). Examining the Museum Visitors Use of Mobile Technology Through Technology Acceptance Model (TAM). Journal of Tourism, Hospitality and Environment Management, 3(11),14-24.
  • No, E. & Kim, J. K. (2015). Comparing the attributes of online tourism information sources. Computers in Human Behavior, 50, 564-575. Nunkoo, R. & Ramkissoon, H. (2013). Travelers’ e-purchase intent of tourism products and services. Journal of Hospitality Marketing & Management, 22, 505-529.
  • Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric Theory. Third Edition, New Jersey: McGraw-HillInc.
  • O’Connor, P. & Frew, A. J. (2002). The future of hotel electronic distribution. Cornell Hotel and Restaurant Administration Quarterly, June, 33-45.
  • Oliva, A. M., Borondo, P. J. & Clavero, M. G (2019). Variables influencing cryp to currency use: a technology acceptance model in Spain. Front. Psychol., 10, 1-13.
  • Phatthana, W. & Mat, N.K.N. (2011). The application of technology acceptance model (TAM) on health tourism e-purchase intention predictors in Thailand. International Conference on Business and Economics Research, IACSIT Press, Kuala Lumpur, Malaysia, 1, 196-199.
  • Park, K., Park, N. & Heo, W. (2018). Factors influencing intranet acceptance in restaurant industry: use of technology acceptance model. International Business Research, 11(10), 1-9.
  • Pavlou, P.A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7, 101-134.
  • Ramayah, T. & Ignatius, J. (2005). Impact of perceived usefulness, perceived ease of use and perceived enjoyment on the intention to shop online. ICFAI Journal of Systems Management (IJSM), 3 (3), 36-51.
  • Ryan, C. & Rao, U. (2008). Holiday Users of the ınternet-ease of use, functionality and novelty. International Journal of Tourism Research, 10, 329-339.
  • Sahli, A. B. & Legohérel, P. (2016). The tourism Web acceptance model: a study of intention to book tourism products online. Journal of vacation marketing: an international journal, 22(2), 179-194.
  • Sarı, Y. & Kozak, M. (2005). Turizm işletmelerinde pazarlama çabaları kapsamında bilgi teknolojilerinin kullanımı. Atatürk Üniversitesi İİBF Dergisi, 19 (1), 359-383.
  • Scherer, R. Wiebe, F. A., Luther, D.C. & Adams, J.S. (1988). Dimensionality of coping: Factor stability using the ways of coping questionnaire. Psychological Report, 62, 763-770.
  • Schumacker, R. E. & Lomax, R. G. (2004). Beginner’s Guide to Structural Equaiton Modeling. New Jersey: Lawrence ErlbaumAssociates.
  • Sekaran, U. (2003). Research Methods for Business. John Wiley High Education Press: New York, ABD.
  • Sevim, N. Yüncü, S. & Hall, E.E. (2017). Analysis of the extended technology acceptance model in online travel products. Journal of Internet Applications and Management, 8(2), 45-61.
  • Shang, R. A., Chen, Y. C. & Shen, L. (2005). Extrinsic versus ıntrinsic motivations for consumers tos hop on-line. Information & Management, 42, 401-413.
  • Suhud, U., Wibowo, S. F., Khairi, A. & Willson, G. (2019). Applying the theory of Acceptance model to consumer acceptance of taxi-hailing mobile app. Journal of Internet and e-Business Studies, 1-10.
  • Taherdoost, H. (2018). A reviev of technology acceptance and adoption models and theories. Procedia Manufacturing, 22, 960-967.
  • Trakulmaykee, N., Trakulmaykee, Y. & Hnuchek, K. (2016). Statistical analysis: improvement of technology acceptance model in mobile tourist guide context. Journal of Advanced Management Science, 4(3), 181-186.
  • Türker, A. & Türker, G.Ö. (2013). Turistik ürün satın alma davranışının teknoloji kabul modeli ile incelenmesi. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 15 (2), 281-312.
  • Venkatesh, V. & Davis, F.D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46 (2), 186-204.
  • Venkatesh, V. & Morris, M.G. (2000). Why don’t men ever stop to ask for directions? gender, social influence and their role in technology acceptance and usage behavior. MIS Quarterly, 24 (1), 115-139.
  • Wen, I. (2009). Factors affecting the online travel buying decision: A review. International Journal of Contemporary Hospitality Management, 21(6), 752-765
  • Wu, K. Zhao, Y., Zhu Q., Tan, X. & Zheng, H. (2011). A meta-analysis of the impact of trust on technology acceptance model: Investigation of moderating influence of subject and context type. International Journal of Information Management 31, 572-581.
  • Xiang, Z., Magnini, V. P. & Fesenmaier, D. R. (2015). Information technology and consumer behavior in travel and tourism: insights from travel planning using the internet. Journal of Retailing and Consumer Services, 22, 244-249.
  • Zhu, D.H. & Chang, Y.P. (2014). Investigating consumer attitude and intention to ward free trials of technology-based services. Computers in Human Behavior, 30, 328-334.

Turistlerin Online Ortamda Tatil Satın Alma Davranışının Teknoloji Kabul Modeli (TKM) ile Değerlendirilmesi

Year 2021, Volume: 9 Issue: 1, 29 - 37, 22.02.2021
https://doi.org/10.18506/anemon.627416

Abstract

Günümüzde artan bir şekilde turistlerin geleneksel satın alma metotlarından ziyade online olarak tatil satın aldıkları görülmektir. Bununla birlikte araştırmalar çevrimiçi seyahat satın alma ve davranışları üzerinde önemle durmaktadır. Bu araştırmanın amacı, internet üzerinden tatil satın alan turistlerin tatil satın alma davranışlarının TKM kullanarak belirlenmesi ve turistlerin tatil satın alma davranışları ile TKM arasındaki ilişkilerin belirlenmesidir. Bu amaçla, Karabük Üniversitesinde internet üzerinden tatil satın alan 403 akademisyenden anket tekniği ile veri toplanmıştır. Sonuçlar, akademisyenlerin e-tatil satın alma davranışlarında, algılanan kullanım kolaylığı, algılanan kullanışlılık ve güven boyutlarının e-tatil satın alma tutum ve niyetlerini pozitif yönde etkilediğini; algılanan riskin ise e-tatil satın alma tutum ve niyetini negatif olarak etkilediğini ortaya koymaktadır. Bu nedenle e-tatil satan turizm işletmeleri, web sitelerini turistlerin çevrimiçi satın alma davranışlarını dikkate alarak düzenlemelidir.

References

  • Adli, F., Joshua, H.S., Pujani, V., & Meuthia, L. (2014). E-travel model: an emprical study of technology acceptance model and self efficacy. International Conference on Business, Management &Corporate Social Responsibility (ICBMCSR'14) Feb. 14-15. 2014.
  • Agag, G. & El-Masry, A. A. (2016). Understanding consumer ıntention to participate in online travel community and effects on consumer ıntention to purchase travel online and WOM: An ıntegration of ınnovation diffusion theory and tam withtrust. Computers in Human Behavior, 60, 97-111.
  • Amaro, S. & Duarte, P. (2015). An integrative model of consumers’ intentions to purchase travel online. Tourism Management, 46, 64-79.
  • Anderson, J. J. &Gerbıng, D. G. (1988). Structural equation modeling in practice: a review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423.
  • Bader, A., Baldauf, M., Leinert, S., Matthes, F. & Liebrich, A. (2012). Mobile tourism services and technology acceptance in a mature domestic tourism market: the case of Switzerland. Information and Communication Technologies in Tourism, 296-307.
  • Belkhamza, Z. & Wafa, S.A. (2009). The effect of perceived risk on the ıntention to use e commerce: the case of algeria. Journal of Internet Bankingand Commerce, 14(1), 1-10.
  • Buhalis, D. & Law, R. (2008). Progress in information technology and tourism management: 20 years on and 10 years after the ınternet the state of e-tourism research. Tourism Management, 29 (4), 609-623.
  • Çetinsöz, B. C. (2015). Yerli turistlerin e-satın alma eğilimlerinin teknoloji kabul modelinde analizi (TKM). Elektronik Sosyal Bilimler Dergisi, 14(53), 242-258.
  • Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13 (3), 319-340.
  • Diop EB, Zhao S. & Duy TV (2019). An extension of the technology acceptance model for understanding travelers’ adoption of variable message signs. Plos One 14(4), 1-17.
  • Disztinger, P., Schlögl, S. & Groth, A. (2017). Technology acceptance of virtual reality for travel planning. R. Scheggand B. Stangl (eds.), Information and Communication Technologies in Tourism, 255-268. Field, A. (2000). Discovering statistics using SPSS for Windows. London: SAGE Publication.
  • Fishbein, M. & Ajzen, I. (1975). Belief, attitude, intention and behavior: Introduction to theory and research. Addison-Wesley, Reading, MA. Forsythe, S.M. & Shi, B., (2003). Consumer patronage and risk perceptions in internet shopping. Journal of Business Research, 56, 867-875.
  • Gefen, D., Karahanna, E., & Straub, D.W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27 (1), 51-90.
  • Ghanem, M. M. / Soad Omran Mansour, S. O. Adel, H. (2017). The impact of national culture on the adoption of e-tourism in Egyptian tourism companies. Tourism Original Scientific Paper, 65 (2) 234-246.
  • Gretzel, U., &Yoo, K. H. (2008). Use and impact of online travel reviews. Information and Communication Technologies in Tourism, 35-46.
  • Guo, X., Zheng, X., Ling, L., &Yang, C. (2014). Online coopetition between hotels and online travel agencies: from the perspective of cash back after stay. Tourism Management Perspectives, 12, 104-112.
  • Guritno, S. & Siringoringo, H. (2013). Perceived usefulness, ease of use, and attitude towards online shopping usefulness towards online airlines ticket purchase. Procedia Social and Behavioral Sciences, 81, 212-216.
  • Güney, T., Koçoğlu, C. M. & Özkul, E. (2015). Turizmde Elektronik Pazarlama, (Edit: Mesut Bozkurt ve Bayram Şahin) Turizm Pazarlaması, Paradigma Akademi.
  • Gyampah, K.A. & Salam, A.F. (2004). An Extension of the technology acceptance model in an ERP implementation environment. Information & Management, 41, 731-745.
  • Ibrahim, T. A. (2018). The role of technology acceptance model in explaining University academics acceptance and behavioural intention to use technology in education. 4th International Research Conference on Higher Education, KNE Social Sciences, 1162-1172.
  • Izquierdo-Yusta, A. & Calderon-Monge, E. (2011). Internet as a distribution channel: Emprical evidence from the service sector and managerial opportunities. Journal of Internet Commerce, 10, 106-127.
  • Kim, M.J., Chung, N. & Lee, K.L. (2011). The Effect of perceived trust on electronic commerce: shopping online for tourism products and services in South Korea. Tourism Management, 32, 256-265.
  • Koçoğlu, C. M. (2016). Risk algısının yeniden satın alma davranışı üzerindeki etkisi: havayolu sektöründe bir araştırma. Akademik Bakış Dergisi, 57: 246-163.
  • Kracht, J. & Wang, Y. (2010). Examining the tourism distribution channel: evolution and transformation. International Journal of Contemporary Hospitality Management, 22(5), 736-761.
  • Lam, J.M.S., Tan, S.H. &, Oh, Y.L. (2014). Exploring internet influence towards travel satisfaction. Procedia-Social and Behavioral Sciences, 130, 542-551.
  • Legris, P., Ingham, I. & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information Management, 40 (3), 191-204.
  • Li, Y.H. & Huang, J-W. (2009). Applying Theory of Perceived Risk and Technology Acceptance Model in the online shopping channel. World Academy of Science, Engineering and Technology, 53, 919-925.
  • Liao, Z., & Cheung, M. T. (2001) Internet Based E-Shopping and Consumer Attitudes: An Empirical Study. Information & Management, 38, 299-306.
  • Lin, W. B. (2008). Construction of online consumer behavior models: A comparative study of industries in Taiwan. International Journal of Commerce and Management, 18, 123-149.
  • Ling, K.C., Daud, D.B., Piew, T.H., Keoy, K.H., & Hassan, P. (2011). Perceived risk, perceived technology, online trust for the online purchase ıntention in Malaysia. International Journal of Business and Management, 6 (6), 167-182.
  • Ma, Q. & Liu, L. (2005). The technology acceptance model: a meta-analysis of empirical findings. Journal of Organizational and End User Computing, 16(1), 59-72.
  • Mandilas, A., Karasavvoglou, A., Nikolaidis, M. & Tsourgiannis, L. (2013). Predicting consumer’s perceptions in on-line shopping. Procedia Technology, 8, 435-444.
  • Matikiti, R., Mpinganjira, M. & Roberts-Lombard, M. (2018). Application of the technology acceptance model and the technology–organisation–environment model to examine socialmedia marketing use in the South African tourism industry. South African Journal of Information Management, 20(1), 1-12.
  • Moon, Y. & Hwang, J. (2018). Crowd funding as an alternative means for funding sustainable appropriate technology: acceptance determinants of backers. Sustainability, 10(5), 1-18.
  • Ndubisi, N.O. & Jantan, M. (2003). Evaluating ıs usage in Malaysian small and medium sized firms using the technology acceptance model. Logistics Information Management, 16(6), 440-450.
  • Nizar, N. N. M. & Rahmat, M. K. (2018). Examining the Museum Visitors Use of Mobile Technology Through Technology Acceptance Model (TAM). Journal of Tourism, Hospitality and Environment Management, 3(11),14-24.
  • No, E. & Kim, J. K. (2015). Comparing the attributes of online tourism information sources. Computers in Human Behavior, 50, 564-575. Nunkoo, R. & Ramkissoon, H. (2013). Travelers’ e-purchase intent of tourism products and services. Journal of Hospitality Marketing & Management, 22, 505-529.
  • Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric Theory. Third Edition, New Jersey: McGraw-HillInc.
  • O’Connor, P. & Frew, A. J. (2002). The future of hotel electronic distribution. Cornell Hotel and Restaurant Administration Quarterly, June, 33-45.
  • Oliva, A. M., Borondo, P. J. & Clavero, M. G (2019). Variables influencing cryp to currency use: a technology acceptance model in Spain. Front. Psychol., 10, 1-13.
  • Phatthana, W. & Mat, N.K.N. (2011). The application of technology acceptance model (TAM) on health tourism e-purchase intention predictors in Thailand. International Conference on Business and Economics Research, IACSIT Press, Kuala Lumpur, Malaysia, 1, 196-199.
  • Park, K., Park, N. & Heo, W. (2018). Factors influencing intranet acceptance in restaurant industry: use of technology acceptance model. International Business Research, 11(10), 1-9.
  • Pavlou, P.A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7, 101-134.
  • Ramayah, T. & Ignatius, J. (2005). Impact of perceived usefulness, perceived ease of use and perceived enjoyment on the intention to shop online. ICFAI Journal of Systems Management (IJSM), 3 (3), 36-51.
  • Ryan, C. & Rao, U. (2008). Holiday Users of the ınternet-ease of use, functionality and novelty. International Journal of Tourism Research, 10, 329-339.
  • Sahli, A. B. & Legohérel, P. (2016). The tourism Web acceptance model: a study of intention to book tourism products online. Journal of vacation marketing: an international journal, 22(2), 179-194.
  • Sarı, Y. & Kozak, M. (2005). Turizm işletmelerinde pazarlama çabaları kapsamında bilgi teknolojilerinin kullanımı. Atatürk Üniversitesi İİBF Dergisi, 19 (1), 359-383.
  • Scherer, R. Wiebe, F. A., Luther, D.C. & Adams, J.S. (1988). Dimensionality of coping: Factor stability using the ways of coping questionnaire. Psychological Report, 62, 763-770.
  • Schumacker, R. E. & Lomax, R. G. (2004). Beginner’s Guide to Structural Equaiton Modeling. New Jersey: Lawrence ErlbaumAssociates.
  • Sekaran, U. (2003). Research Methods for Business. John Wiley High Education Press: New York, ABD.
  • Sevim, N. Yüncü, S. & Hall, E.E. (2017). Analysis of the extended technology acceptance model in online travel products. Journal of Internet Applications and Management, 8(2), 45-61.
  • Shang, R. A., Chen, Y. C. & Shen, L. (2005). Extrinsic versus ıntrinsic motivations for consumers tos hop on-line. Information & Management, 42, 401-413.
  • Suhud, U., Wibowo, S. F., Khairi, A. & Willson, G. (2019). Applying the theory of Acceptance model to consumer acceptance of taxi-hailing mobile app. Journal of Internet and e-Business Studies, 1-10.
  • Taherdoost, H. (2018). A reviev of technology acceptance and adoption models and theories. Procedia Manufacturing, 22, 960-967.
  • Trakulmaykee, N., Trakulmaykee, Y. & Hnuchek, K. (2016). Statistical analysis: improvement of technology acceptance model in mobile tourist guide context. Journal of Advanced Management Science, 4(3), 181-186.
  • Türker, A. & Türker, G.Ö. (2013). Turistik ürün satın alma davranışının teknoloji kabul modeli ile incelenmesi. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 15 (2), 281-312.
  • Venkatesh, V. & Davis, F.D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46 (2), 186-204.
  • Venkatesh, V. & Morris, M.G. (2000). Why don’t men ever stop to ask for directions? gender, social influence and their role in technology acceptance and usage behavior. MIS Quarterly, 24 (1), 115-139.
  • Wen, I. (2009). Factors affecting the online travel buying decision: A review. International Journal of Contemporary Hospitality Management, 21(6), 752-765
  • Wu, K. Zhao, Y., Zhu Q., Tan, X. & Zheng, H. (2011). A meta-analysis of the impact of trust on technology acceptance model: Investigation of moderating influence of subject and context type. International Journal of Information Management 31, 572-581.
  • Xiang, Z., Magnini, V. P. & Fesenmaier, D. R. (2015). Information technology and consumer behavior in travel and tourism: insights from travel planning using the internet. Journal of Retailing and Consumer Services, 22, 244-249.
  • Zhu, D.H. & Chang, Y.P. (2014). Investigating consumer attitude and intention to ward free trials of technology-based services. Computers in Human Behavior, 30, 328-334.
There are 62 citations in total.

Details

Primary Language English
Journal Section Research Article
Authors

Cenk Murat Koçoğlu 0000-0002-9888-6051

Publication Date February 22, 2021
Acceptance Date May 21, 2020
Published in Issue Year 2021 Volume: 9 Issue: 1

Cite

APA Koçoğlu, C. M. (2021). The Evaluation of Tourists’ Online Purchasing Behaviors Using Technology Acceptance Model (TAM). Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 9(1), 29-37. https://doi.org/10.18506/anemon.627416

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