How to cite this paper
Lee, K., Haque, A., Maulan, S & Abdullah, K. (2019). Determining intention to buy air e-tickets in Malaysia.Management Science Letters , 9(6), 933-944.
Refrences
Akhlaq, A., & Ahmed, E. (2014). Online shopping : A global perspective. Journal of Basic and Applied Scientific Research, 4(5), 153–160.
Alalwan, A., Dwivedi, Y., Rana, N., & Williams, M. (2016). Consumer adoption of mobile banking in Jordan Examining the role of usefulness, ease of use, perceived risk and self-efficacy. Journal of Enterprise Information Management, 29(5), 118–139.
Alavi, S., Mehdinezhad, I & Kahshidinia, B. (2019). A trend study on the impact of social media on advertisement.International Journal of Data and Network Science, 3(3), 185-200.
Amaro, S. F., & Duarte, P. (2013). Factors that influence the purchase of travel online : A proposed model. In M. Kozak & N. Kozak (Eds.), Aspects of Tourist Behavior (pp. 63–76). Newcastle upon Tyne: Cambridge Scholars Publishing.
Bauer, R. A. (1960). Consumer behavior as risk taking. In R. S. Hancock (Ed.), Dynamic marketing for a changing world: Proceedings of the 43rd National Conference of the American Marketing Association (pp. 389–398). Chicago: American Marketing Association.
Bukhari, S., Ghoneim, A., & Dennis, C. (2012). Understanding the factors that attract travellers to buy airline tickets online in Saudi Arabia. In European, Mediterranean & Middle East Conference on Information Systems 2012 (pp. 619–628). Retrieved from http://www.iseing.org/emcis/emcis2012/EMCISWebsite/proceedings/126.pdf
Cases, A.-S. (2002). Perceived risk and risk-reduction strategies in internet shopping. The International Review of Retail, Distribution and Consumer Research, 12(4), 375–394.
Chan, S., & Lu, M. (2004). Understanding internet banking adoption and use behavior: A Hong Kong perspective. Journal of Global Information Management, 12(3), 21–43. Retrieved from http://gateway.library.qut.edu.au/login?url=http://search.proquest.com/docview/ 195151617?accountid=13380
Chin, W. W. (2010). How to write up and report PLS analyses. In V. Esposio Vinzi, W. W. Chin, J. Henseler, & H. Wang (Eds.), Handbook of Partial Least Squares (pp. 655–690). Berlin: Springer-Verlag.
Coker, B. L. S., Ashill, N. J., & Hope, B. (2011). Measuring internet product purchase risk. European Journal of Marketing, 45(7/8), 1130–1151. 2
Cox, D. F., & Rich, S. U. (1964). Perceived risk and consumer decision-making: The case of telephone shopping. Journal of Marketing Research, 1(4), 32–39.
Crespo-Almendros, E., & Del Barrio-García, S. (2016). Online airline ticket purchasing: Influence of online sales promotion type and internet experience. Journal of Air Transport Management, 53, 23–34.
Crespo, Á. H., del Bosque, I. R., & de los Salmones Sánchez, M. M. G. (2009). The influence of perceived risk on internet shopping behavior: A multidimensional perspective. Journal of Risk Research, 12(2), 259–277.
Cunningham, L. F., Gerlach, J. H., Harper, M. D., & Young, C. E. (2005). Perceived risk and the consumer buying process: Internet airline reservations. International Journal of Service Industry Management, 16(4), 357–372.
Cunningham, L. F., Gerlach, J., & Harper, M. D. (2004). Assessing perceived risk of consumers in internet airline reservations services. Journal of Air Transportation, 9(1), 21–35.
Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results.
Davis, F. D. (1989). Perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
Faqih, K. M. S. (2013). Exploring the influence of perceived risk and internet self-efficacy on consumer online shopping intentions : Perspective of technology acceptance model. International Management Review, 9(1), 67–78.
Featherman, M. S., Miyazaki, A. D., & Sprott, D. E. (2010). Reducing online privacy risk to facilitate e‐service adoption: The influence of perceived ease of use and corporate credibility. Journal of Services Marketing, 24(3), 219–229.
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human Computer Studies, 59(4), 451–474.
Featherman, M. S., & Wells, J. D. (2010). The intangibility of e-services: Effects on perceived risk and acceptance. ACM SIGMIS Database, 41(2), 110–131.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39.
Forsythe, S. M., & Shi, B. (2003). Consumer patronage and risk perceptions in internet shopping. Journal of Business Research, 56(11), 867–875.
Geisser, S. (1974). A predictive approach to the random effect model. Biometrika Trust, 61(1), 101–107.
Gilani, E., Salimi, D., Jouyandeh, M., Tavasoli, K & Wong, W. (2019). A trend study on the impact of social media in decision making. International Journal of Data and Network Science, 3(3), 201-222.
Gu, J.-C., Lee, S.-C., & Suh, Y.-H. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications, 36(9), 11605–11616.
Ha, S., & Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research, 62(5), 565–571.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: Sage Publications Inc.
Jarvenpaa, S. L., & Todd, P. a. (1996). Consumer reactions to electronic shopping on the world wide web. International Journal of Electronic Commerce, 1(2), 59–88.
Jarvis, C. B., Mackenzie, S. B., & Podsakoff, P. M. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30(September 2003), 199–218.
Kamarulzaman, Y. (2007). Adoption of travel e-shopping in the UK. International Journal of Retail & Distribution Management, 35(August), 703–719.
Kim, L. H., Kim, D. J., & Leong, J. K. (2005). The effect of perceived risk on purchase intention in purchasing airline tickets online. Journal of Hospitality & Leisure Marketing, 13(2), 33–53.
Kim, L. H., Qu, H., & Kim, D. J. (2009). A study of perceived risk and risk reduction of purchasing air‐tickets online. Journal of Travel & Tourism Marketing, 26(3), 203–224.
Kotler, P., & Armstrong, G. (2016). Principles of Marketing, Global Edition (16th ed.). Harlow: Pearson Education Limited.
Kucukusta, D., Law, R., Besbes, A., & Legoherel, P. (2015). Re-examining perceived usefulness and ease of use in online booking: The case of Hong Kong online users. International Journal of Contemporary Hospitality Management, 27(2), 185–189.
Li, Y., & Huang, J. (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.
Mitchell, V. W. (1992). Understanding consumers’ behaviour: Can perceived risk theory help? Management Decision, 30(3), 26–31.
Mitchell, V. W. (1999). Consumer perceived risk: Conceptualisations and models. EuroMed Journal of Business, 33(1/2), 163–195.
Mohd Suki, N., & Mohd Suki, N. (2017). Flight ticket booking app on mobile devices: Examining the determinants of individual intention to use. Journal of Air Transport Management, 62, 146–154.
Nepomuceno, M. V., Laroche, M., Richard, M. O., & Eggert, A. (2012). Relationship between intangibility and perceived risk: moderating effect of privacy, system security and general security concerns. Journal of Consumer Marketing, 29(3), 176–189.
Nunnally, J. L. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.
Park, S., Tussyadiah, I. P., & Zhang, Y. (2016). Assessment of perceived risk in mobile travel booking. In A. Inversini & R. Schegg (Eds.), Information and Communication Technologies in Tourism (pp. 467–480). Springer.
Pourkhani, A., Abdipour, K., Baher, B & Moslehpour, M. (2019). The impact of social media in business growth and performance: A scientometrics analysis.International Journal of Data and Network Science, 3(3), 223-244.
Ringle, C. M., Wende, S., & Will, A. (2005). SmartPLS 2.0.M3. Hamburg: SmarttPLS. Retrieved from http://www.smartpls.de
Ruiz-Mafé, C., Sanz-Blas, S., & Aldás-Manzano, J. (2009). Drivers and barriers to online airline ticket purchasing. Journal of Air Transport Management, 15(6), 294–298.
Samadi, M., & Yaghoob-Nejadi, A. (2009). A survey of the effect of consumers’ perceived risk on purchase intention in e-shopping. Business Intelligence Journal, 2(2), 261–275.
Singapore Tourism Board. (2014). STB market insights - Malaysia. Singapore. Retrieved from www.stb.gov.my
Steenkamp, J.-B. E. ., de Jong, M. G., & Baumgartner, H. (2010). Socially desirable response tendencies in survey research. Journal of Marketing Research, 47(2), 199–214.
Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society, 36(2), 111–147.
Tayebi, S., Manesh, S., Khalili, M & Sadi-Nezhad, S. (2019). The role of information systems in communication through social media.International Journal of Data and Network Science, 3(3), 245-268.
Ueltschy, L. C., Krampf, R. F., & Yannopoulos, P. (2004). A cross-national study of perceived consumer risk towards online (internet) purchasing. Multinational Business Review, 12(2), 59–82.
WNS. (2014). Travel and leisure services outsourcing. Retrieved October 22, 2014, from http://www.wns.com/Resources/Articles/Article-Details/104/5-Trends-for-the-Global-Airline-Industry.aspx
Yayla, A., & Hu, Q. (2007). User acceptance of e-commerce technology: A meta-analytic comparison of competing models. In ECIS. Paper 5 (pp. 179–190). St.Gallen, Switzerland. Retrieved from http://aisel.aisnet.org/ecis2007/5/
Alalwan, A., Dwivedi, Y., Rana, N., & Williams, M. (2016). Consumer adoption of mobile banking in Jordan Examining the role of usefulness, ease of use, perceived risk and self-efficacy. Journal of Enterprise Information Management, 29(5), 118–139.
Alavi, S., Mehdinezhad, I & Kahshidinia, B. (2019). A trend study on the impact of social media on advertisement.International Journal of Data and Network Science, 3(3), 185-200.
Amaro, S. F., & Duarte, P. (2013). Factors that influence the purchase of travel online : A proposed model. In M. Kozak & N. Kozak (Eds.), Aspects of Tourist Behavior (pp. 63–76). Newcastle upon Tyne: Cambridge Scholars Publishing.
Bauer, R. A. (1960). Consumer behavior as risk taking. In R. S. Hancock (Ed.), Dynamic marketing for a changing world: Proceedings of the 43rd National Conference of the American Marketing Association (pp. 389–398). Chicago: American Marketing Association.
Bukhari, S., Ghoneim, A., & Dennis, C. (2012). Understanding the factors that attract travellers to buy airline tickets online in Saudi Arabia. In European, Mediterranean & Middle East Conference on Information Systems 2012 (pp. 619–628). Retrieved from http://www.iseing.org/emcis/emcis2012/EMCISWebsite/proceedings/126.pdf
Cases, A.-S. (2002). Perceived risk and risk-reduction strategies in internet shopping. The International Review of Retail, Distribution and Consumer Research, 12(4), 375–394.
Chan, S., & Lu, M. (2004). Understanding internet banking adoption and use behavior: A Hong Kong perspective. Journal of Global Information Management, 12(3), 21–43. Retrieved from http://gateway.library.qut.edu.au/login?url=http://search.proquest.com/docview/ 195151617?accountid=13380
Chin, W. W. (2010). How to write up and report PLS analyses. In V. Esposio Vinzi, W. W. Chin, J. Henseler, & H. Wang (Eds.), Handbook of Partial Least Squares (pp. 655–690). Berlin: Springer-Verlag.
Coker, B. L. S., Ashill, N. J., & Hope, B. (2011). Measuring internet product purchase risk. European Journal of Marketing, 45(7/8), 1130–1151. 2
Cox, D. F., & Rich, S. U. (1964). Perceived risk and consumer decision-making: The case of telephone shopping. Journal of Marketing Research, 1(4), 32–39.
Crespo-Almendros, E., & Del Barrio-García, S. (2016). Online airline ticket purchasing: Influence of online sales promotion type and internet experience. Journal of Air Transport Management, 53, 23–34.
Crespo, Á. H., del Bosque, I. R., & de los Salmones Sánchez, M. M. G. (2009). The influence of perceived risk on internet shopping behavior: A multidimensional perspective. Journal of Risk Research, 12(2), 259–277.
Cunningham, L. F., Gerlach, J. H., Harper, M. D., & Young, C. E. (2005). Perceived risk and the consumer buying process: Internet airline reservations. International Journal of Service Industry Management, 16(4), 357–372.
Cunningham, L. F., Gerlach, J., & Harper, M. D. (2004). Assessing perceived risk of consumers in internet airline reservations services. Journal of Air Transportation, 9(1), 21–35.
Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results.
Davis, F. D. (1989). Perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
Faqih, K. M. S. (2013). Exploring the influence of perceived risk and internet self-efficacy on consumer online shopping intentions : Perspective of technology acceptance model. International Management Review, 9(1), 67–78.
Featherman, M. S., Miyazaki, A. D., & Sprott, D. E. (2010). Reducing online privacy risk to facilitate e‐service adoption: The influence of perceived ease of use and corporate credibility. Journal of Services Marketing, 24(3), 219–229.
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human Computer Studies, 59(4), 451–474.
Featherman, M. S., & Wells, J. D. (2010). The intangibility of e-services: Effects on perceived risk and acceptance. ACM SIGMIS Database, 41(2), 110–131.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39.
Forsythe, S. M., & Shi, B. (2003). Consumer patronage and risk perceptions in internet shopping. Journal of Business Research, 56(11), 867–875.
Geisser, S. (1974). A predictive approach to the random effect model. Biometrika Trust, 61(1), 101–107.
Gilani, E., Salimi, D., Jouyandeh, M., Tavasoli, K & Wong, W. (2019). A trend study on the impact of social media in decision making. International Journal of Data and Network Science, 3(3), 201-222.
Gu, J.-C., Lee, S.-C., & Suh, Y.-H. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications, 36(9), 11605–11616.
Ha, S., & Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research, 62(5), 565–571.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: Sage Publications Inc.
Jarvenpaa, S. L., & Todd, P. a. (1996). Consumer reactions to electronic shopping on the world wide web. International Journal of Electronic Commerce, 1(2), 59–88.
Jarvis, C. B., Mackenzie, S. B., & Podsakoff, P. M. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30(September 2003), 199–218.
Kamarulzaman, Y. (2007). Adoption of travel e-shopping in the UK. International Journal of Retail & Distribution Management, 35(August), 703–719.
Kim, L. H., Kim, D. J., & Leong, J. K. (2005). The effect of perceived risk on purchase intention in purchasing airline tickets online. Journal of Hospitality & Leisure Marketing, 13(2), 33–53.
Kim, L. H., Qu, H., & Kim, D. J. (2009). A study of perceived risk and risk reduction of purchasing air‐tickets online. Journal of Travel & Tourism Marketing, 26(3), 203–224.
Kotler, P., & Armstrong, G. (2016). Principles of Marketing, Global Edition (16th ed.). Harlow: Pearson Education Limited.
Kucukusta, D., Law, R., Besbes, A., & Legoherel, P. (2015). Re-examining perceived usefulness and ease of use in online booking: The case of Hong Kong online users. International Journal of Contemporary Hospitality Management, 27(2), 185–189.
Li, Y., & Huang, J. (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.
Mitchell, V. W. (1992). Understanding consumers’ behaviour: Can perceived risk theory help? Management Decision, 30(3), 26–31.
Mitchell, V. W. (1999). Consumer perceived risk: Conceptualisations and models. EuroMed Journal of Business, 33(1/2), 163–195.
Mohd Suki, N., & Mohd Suki, N. (2017). Flight ticket booking app on mobile devices: Examining the determinants of individual intention to use. Journal of Air Transport Management, 62, 146–154.
Nepomuceno, M. V., Laroche, M., Richard, M. O., & Eggert, A. (2012). Relationship between intangibility and perceived risk: moderating effect of privacy, system security and general security concerns. Journal of Consumer Marketing, 29(3), 176–189.
Nunnally, J. L. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.
Park, S., Tussyadiah, I. P., & Zhang, Y. (2016). Assessment of perceived risk in mobile travel booking. In A. Inversini & R. Schegg (Eds.), Information and Communication Technologies in Tourism (pp. 467–480). Springer.
Pourkhani, A., Abdipour, K., Baher, B & Moslehpour, M. (2019). The impact of social media in business growth and performance: A scientometrics analysis.International Journal of Data and Network Science, 3(3), 223-244.
Ringle, C. M., Wende, S., & Will, A. (2005). SmartPLS 2.0.M3. Hamburg: SmarttPLS. Retrieved from http://www.smartpls.de
Ruiz-Mafé, C., Sanz-Blas, S., & Aldás-Manzano, J. (2009). Drivers and barriers to online airline ticket purchasing. Journal of Air Transport Management, 15(6), 294–298.
Samadi, M., & Yaghoob-Nejadi, A. (2009). A survey of the effect of consumers’ perceived risk on purchase intention in e-shopping. Business Intelligence Journal, 2(2), 261–275.
Singapore Tourism Board. (2014). STB market insights - Malaysia. Singapore. Retrieved from www.stb.gov.my
Steenkamp, J.-B. E. ., de Jong, M. G., & Baumgartner, H. (2010). Socially desirable response tendencies in survey research. Journal of Marketing Research, 47(2), 199–214.
Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society, 36(2), 111–147.
Tayebi, S., Manesh, S., Khalili, M & Sadi-Nezhad, S. (2019). The role of information systems in communication through social media.International Journal of Data and Network Science, 3(3), 245-268.
Ueltschy, L. C., Krampf, R. F., & Yannopoulos, P. (2004). A cross-national study of perceived consumer risk towards online (internet) purchasing. Multinational Business Review, 12(2), 59–82.
WNS. (2014). Travel and leisure services outsourcing. Retrieved October 22, 2014, from http://www.wns.com/Resources/Articles/Article-Details/104/5-Trends-for-the-Global-Airline-Industry.aspx
Yayla, A., & Hu, Q. (2007). User acceptance of e-commerce technology: A meta-analytic comparison of competing models. In ECIS. Paper 5 (pp. 179–190). St.Gallen, Switzerland. Retrieved from http://aisel.aisnet.org/ecis2007/5/