Exploring the role of website attractiveness in travel and tourism: empirical evidence from the tourism industry in India

References

• Acito, F., & Khatri, V. (2014). Business analytics: Why now and what next? Business Horizons, 57(5), 565–570. doi: 10.1016/j.bushor.2014.06.001
   Web of Science ®Google Scholar
• Ambrosini, V., & Bowman, C. (2009). What are dynamic capabilities and are they a useful construct in strategic management? International Journal of Management Reviews, 11(1), 29–49. doi: 10.1111/j.1468-2370.2008.00251.x
   Web of Science ®Google Scholar
• Amit, R., & Schoemaker, P. J. (1993). Strategic assets and organizational rent. Strategic Management Journal, 14(1), 33–46.
   Web of Science ®Google Scholar
• Anand, O., Mittal, A., Moolchandani, K., Kagzi, M. M., & Kar, A. K. (2015). Evaluating travel websites using WebQual: A group decision support approach. In E. Merkel-Sobotta (Ed.), Intelligent distributed computing (pp. 151–160). Berlin: Springer International.
   Google Scholar
• Armstrong, C. E., & Shimizu, K. (2007). A Review of approaches to empirical research on the resource-based view of the firm†. Journal of Management, 33(6), 959–986. doi: 10.1177/0149206307307645
   Web of Science ®Google Scholar
• Ashraf, A., & Thongpapanl, N. T. (2015). Is more information content always good? Investigating the impact of website interface features on e-retailer’s sales performance. In E. Merkel-Sobotta (Ed.), Marketing dynamism & sustainability: Things change, things stay the same …  (pp. 560–563). Berlin: Springer International.
   Google Scholar
• Bai, B., Law, R., & Wen, I. (2008). The impact of website quality on customer satisfaction and purchase intentions: Evidence from Chinese online visitors. International Journal of Hospitality Management, 27(3), 391–402. doi: 10.1016/j.ijhm.2007.10.008
   Web of Science ®Google Scholar
• Baloglu, S., & Pekcan, Y. A. (2006). The website design and Internet site marketing practices of upscale and luxury hotels in Turkey. Tourism Management, 27(1), 171–176. doi: 10.1016/j.tourman.2004.07.003
   Web of Science ®Google Scholar
• Bansal, H. S., McDougall, G. H., Dikolli, S. S., & Sedatole, K. L. (2004). Relating e-satisfaction to behavioral outcomes: An empirical study. Journal of Services Marketing, 18(4), 290–302. doi: 10.1108/08876040410542281
   Google Scholar
• Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. doi: 10.1177/014920639101700108
   Web of Science ®Google Scholar
• Barney, J. B. (2012). Purchasing, supply chain management and sustained competitive advantage: The relevance of resource-based theory. Journal of Supply Chain Management, 48(2), 3–6. doi: 10.1111/j.1745-493X.2012.03265.x
   Web of Science ®Google Scholar
• Barney, J. B., Ketchen, D. J., & Wright, M. (2011). The future of resource-based theory revitalization or decline? Journal of Management, 37(5), 1299–1315. doi: 10.1177/0149206310391805
   Web of Science ®Google Scholar
• Bilgihan, A., Okumus, F., & Cobanoglu, C. (2013). Generation Y travelers’ commitment to online social network websites. Tourism Management, 35, 13–22. doi: 10.1016/j.tourman.2012.05.005
   Web of Science ®Google Scholar
• Blome, C., Schoenherr, T., & Rexhausen, D. (2013). Antecedents and enablers of supply chain agility and its effect on performance: A dynamic capabilities perspective. International Journal of Production Research, 51(4), 1295–1318. doi: 10.1080/00207543.2012.728011
   Web of Science ®Google Scholar
• Brandon-Jones, E., Squire, B., Autry, C. W., & Petersen, K. J. (2014). A contingent resource-based perspective of supply chain resilience and robustness. Journal of Supply Chain Management, 50(3), 55–73.
   Web of Science ®Google Scholar
• Byrne, D., & Griffitt, W. (1973). Interpersonal attraction. Annual Review of Psychology, 24, 317–336. doi: 10.1146/annurev.ps.24.020173.001533
   Web of Science ®Google Scholar
• Casalo, L. V., Flavián, C., & Guinalíu, M. (2008). The role of satisfaction and website usability in developing customer loyalty and positive word-of-mouth in the e-banking services. International Journal of Bank Marketing, 26(6), 399–417. doi: 10.1108/02652320810902433
   Google Scholar
• Castaneda, J. A., Munoz-Leiva, F., Luque, T., & Web acceptance model. (2007). Moderating effects of user experience. Information & Management, 44(4), 384–396. Retrieved from http://skift.com/2013/08/26/travelers-visit-38-sites-before-booking-a-vacation-study-says/ doi: 10.1016/j.im.2007.02.003
   Web of Science ®Google Scholar
• Cavia, J., Rovira, C., Díaz-Luque, P., & Cavaller, V. (2014). Web Quality Index (WQI) for official tourist destination websites. Proposal for an assessment system. Tourism Management Perspectives, 9, 5–13. doi: 10.1016/j.tmp.2013.10.003
   Google Scholar
• Chae, B., & Olson, D. L. (2013). Business analytics for supply chain: A dynamic-capabilities framework. International Journal of Information Technology & Decision Making, 12(1), 9–26. doi: 10.1142/S0219622013500016
   Web of Science ®Google Scholar
• Chaffey, D. (2000). Achieving Internet marketing success. The Marketing Review, 1(1), 35–59. doi: 10.1362/1469347002523491
   Google Scholar
• Chang, H. C., Lai, H. H., & Chang, Y. M. (2007). A measurement scale for evaluating the attractiveness of a passenger car form aimed at young consumers. International Journal of Industrial Ergonomics, 37(1), 21–30. doi: 10.1016/j.ergon.2006.09.014
   Web of Science ®Google Scholar
• Che, T., Peng, Z., Lim, K. H., & Hua, Z. (2015). Antecedents of consumers’ intention to revisit an online group-buying website: A transaction cost perspective. Information & Management, 52(5), 588–598. doi: 10.1016/j.im.2015.04.004
   Web of Science ®Google Scholar
• Chiang, H. S., & Huang, T. C. (2015). User-adapted travel planning system for personalized schedule recommendation. Information Fusion, 21, 3–17. doi: 10.1016/j.inffus.2013.05.011
   Web of Science ®Google Scholar
• Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295–336.
   Google Scholar
• Choo, H., & Petrick, J. F. (2014). Social interactions and intentions to revisit for agritourism service encounters. Tourism Management, 40, 372–381. doi: 10.1016/j.tourman.2013.07.011
   Web of Science ®Google Scholar
• Christopher, M., & Peck, H. (2004). Building the resilient supply chain. The International Journal of Logistics Management, 15(2), 1–14. doi: 10.1108/09574090410700275
   Google Scholar
• Chung, N., Han, H., & Joun, Y. (2015). Tourists’ intention to visit destination: Role of augmented reality applications for heritage site. Computers in Human Behavior, 23, 326–341.
   Google Scholar
• Chung, T., & Law, R. (2003). Developing a performance indicator for hotel websites. International Journal of Hospitality Management, 22, 119–125. doi: 10.1016/S0278-4319(02)00076-2
   Google Scholar
• Churchill, G. A., Jr. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 12, 64–73. doi: 10.2307/3150876
   Web of Science ®Google Scholar
• Cole, S. T., & Chancellor, H. C. (2009). Examining the festival attributes that impact visitor experience, satisfaction and re-visit intention. Journal of Vacation Marketing, 15(4), 323–333. doi: 10.1177/1356766709335831
   Google Scholar
• Coulson, A. B., MacLaren, A. C., McKenzie, S., & O’Gorman, K. D. (2014). Hospitality codes and social exchange theory: The Pashtunwali and tourism in Afghanistan. Tourism Management, 45, 134–141. doi: 10.1016/j.tourman.2014.03.019
   Web of Science ®Google Scholar
• DcsEurope. (2015). Travel management company leverages business agility, flexibility and visibility. Retrieved from http://dcseurope.info/news_full.php?id=37999&title=Travel-management-company-leverages-business-agility,-flexibility-and-visibility
   Google Scholar
• De Marsico, M., & Levialdi, S. (2004). Evaluating web sites: Exploiting user's expectations. International Journal of Human-Computer Studies, 60(3), 381–416. doi: 10.1016/j.ijhcs.2003.10.008
   Web of Science ®Google Scholar
• Donovan, J. (Ed.). (1989). Feminist literary criticism: Explorations in theory. Lexington: University Press of Kentucky.
   Google Scholar
• Douglis, F., Jain, S., Klensin, J. C., & Rabinovich, M. (2015). U.S. Patent No. 9,020,904. Washington, DC: U.S. Patent and Trademark Office.
   Google Scholar
• Ellsworth, J. H., & Ellsworth, M. V. (1997). Marketing on the internet. New York: John Wiley and Sons.
   Google Scholar
• Expedia Media Solutions Study. (2013). Spending, research and content consumption patterns for travelers revealed in new study by Expedia Media Solutions and comScore. Retrieved from http://advertising.expedia.com/about/press-releases/spending-research-and-content-consumption-patterns-travelers-revealed-new-study-expedia-media-solutions-add-comscore/
   Google Scholar
• Fang, W. (2007). Using Google Analytics for improving library website content and design: A case study. Library Philosophy and Practice, 9(2), 178–189.
   Google Scholar
• Filieri, R. (2015). Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth. Tourism Management, 51, 174–185. doi: 10.1016/j.tourman.2015.05.007
   Web of Science ®Google Scholar
• Fishbein, M., & Ajzen, I. (1975). Belief, attitudes, intention, and behavior. An introduction to theory and research. Boston, MA: Addison-Wesley.
   Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 17, 382–388. doi: 10.2307/3150980
   Web of Science ®Google Scholar
• Gangestad, S. W., & Scheyd, G. J. (2005). The evolution of human physical attractiveness. Annual Review of Anthropology, 34(1), 523–548. doi: 10.1146/annurev.anthro.33.070203.143733
   Web of Science ®Google Scholar
• Gefen, D. (2002). Customer loyalty in e-commerce. Journal of the Association for Information Systems, 3(1), 82–93.
   Google Scholar
• Gerbing, D. W., & Anderson, J. C. (1988). An updated paradigm for scale development incorporating unidimensionality and its assessment. Journal of Marketing Research, 25(2), 186–192. doi: 10.2307/3172650
   Web of Science ®Google Scholar
• Gibbs, C., & Gretzel, U. (2015). Drivers of responsive website design innovation by destination marketing organizations. In E. Merkel-Sobotta (Ed.), Information and communication technologies in tourism 2015 (pp. 581–592). Berlin: Springer International.
   Google Scholar
• Gligor, D. M., Holcomb, M. C., & Stank, T. P. (2013). A multidisciplinary approach to supply chain agility: Conceptualization and scale development. Journal of Business Logistics, 34(2), 94–108. doi: 10.1111/jbl.12012
   Web of Science ®Google Scholar
• Gretzel, U., & Yoo, K. H. (2008). Use and impact of online travel reviews. In P. O’Connor, W. Hopken, & U. Gretzel (Eds.), Information and Communication Technologies in Tourism (pp. 35–46). New York: Springer.
   Google Scholar
• Gupta, D. D. (2014). Assessing the website effectiveness of top ten tourist attracting nations. Information Technology & Tourism, 14(2), 151–175. doi: 10.1007/s40558-014-0012-x
   Google Scholar
• Han, H., Hsu, L. T. J., & Sheu, C. (2010). Application of the theory of planned behavior to green hotel choice: Testing the effect of environmental friendly activities. Tourism Management, 31(3), 325–334. doi: 10.1016/j.tourman.2009.03.013
   Web of Science ®Google Scholar
• Harris, A. (2014). Word of mouth in tourism: Reflections and directions. Patent and Trademark Office.
   Google Scholar
• Hartmann, J., Sutcliffe, A., & de Angeli, A. (2007). Investigating attractiveness in web user interfaces. Proceedings of the SIGCHI conference on Human factors in computing systems – CHI ‘07, ACM (ed.), ACM Press, New York, NY, pp. 387–396.
   Google Scholar
• Heijden-Spek, J. J., Staessen, J. A., Fagard, R. H., Hoeks, A. P., Boudier, H. A. S., & Van Bortel, L. M. (2000). Effect of age on brachial artery wall properties differs from the aorta and is gender dependent a population study. Hypertension, 35(2), 637–642. doi: 10.1161/01.HYP.35.2.637
   PubMed Web of Science ®Google Scholar
• Helfat, C. E., Finkelstein, S., Mitchell, W., Peteraf, M. A., Singh, H., Teece, D. J., & Winter, S. G. (2007). Dynamic capabilities: Understanding strategic change in organizations. London: Wiley.
   Google Scholar
• Ho, C. I., & Lee, Y. L. (2007). The development of an e-travel service quality scale. Tourism Management, 28(6), 1434–1449. doi: 10.1016/j.tourman.2006.12.002
   Web of Science ®Google Scholar
• Homburg, C., Vollmayr, J., & Hahn, A. (2014). Firm value creation through major channel expansions: Evidence from an event study in the United States, Germany, and China. Journal of Marketing, 78(3), 38–61. doi: 10.1509/jm.12.0179
   Web of Science ®Google Scholar
• Hsu, D. F., Ito, T., Schweikert, C., Matsuda, T., & Shimojo, S. (2011). Combinatorial fusion analysis in brain informatics: Gender variation in facial attractiveness judgment. In E. Merkel-Sobotta (Ed.), Active media technology (pp. 8–26). Berlin: Springer. doi: 10.1007/978-3-642-23620-4_4
   Google Scholar
• Huizingh, E. K. R. E., & Hoekstra, J. C. (2003). Why do consumers like web sites? Journal of Targeting, Measurement and Analysis for Marketing, 11(4), 350–361. doi: 10.1057/palgrave.jt.5740090
   Google Scholar
• Jüttner, U., & Maklan, S. (2011). Supply chain resilience in the global financial crisis: An empirical study. Supply Chain Management: An International Journal, 16(4), 246–259. doi: 10.1108/13598541111139062
   Web of Science ®Google Scholar
• Kalwani, M. U., & Silk, A. J. (1982). On the reliability and predictive validity of purchase intention measures. Marketing Science, 1(3), 243–286. doi: 10.1287/mksc.1.3.243
   Google Scholar
• Kao, W. C., Liu, D. R., & Wang, S. W. (2010, March). Expert finding in question-answering websites: A novel hybrid approach. In Proceedings of the 2010 ACM Symposium on Applied Computing (pp. 867–871). ACM, Taiwan.
   Google Scholar
• Kent, M. L., Carr, B. J., Husted, R. A., & Pop, R. A. (2011). Learning web analytics: A tool for strategic communication. Public Relations Review, 37(5), 536–543. doi: 10.1016/j.pubrev.2011.09.011
   Web of Science ®Google Scholar
• Ketchen, D. J., & Hult, G. T. M. (2007). Bridging organization theory and supply chain management: The case of best value supply chains. Journal of Operations Management, 25(2), 573–580. doi: 10.1016/j.jom.2006.05.010
   Web of Science ®Google Scholar
• Kim, M. J., Chung, N., & Lee, C. K. (2011). The effect of trust on electronic commerce: Shopping online for tourism products and services in South Korea. Tourism Management, 32(2), 256–265. doi: 10.1016/j.tourman.2010.01.011
   Web of Science ®Google Scholar
• Kim, J., Fiore, A. M., & Lee, H. H. (2007). Influences of online store perception, shopping enjoyment, and shopping involvement on consumer patronage behavior towards an online retailer. Journal of retailing and Consumer Services, 14(2), 95–107. doi: 10.1016/j.jretconser.2006.05.001
   Google Scholar
• Kraaijenbrink, J., Spender, J. C., & Groen, A. J. (2010). The resource-based view: A review and assessment of its critiques. Journal of Management, 36(1), 349–372. doi: 10.1177/0149206309350775
   Web of Science ®Google Scholar
• Kroeger, R., & Byers, R. (2014). U.S. Patent No. 8,775,923. Washington, DC: U.S. Patent and Trademark Office.
   Google Scholar
• Kwasinski, A. (2011, October). Effects of notable natural disasters from 2005 to 2011 on telecommunications infrastructure: Lessons from on-site damage assessments. Telecommunications Energy Conference (INTELEC), 2011 IEEE 33rd International, Amsterdam, pp. 1–9. IEEE.
   Google Scholar
• Ladhari, R., Ladhari, I., & Morales, M. (2011). Bank service quality: Comparing Canadian and Tunisian customer perceptions. International Journal of Bank Marketing, 29(3), 224–246. doi: 10.1108/02652321111117502
   Google Scholar
• Langlois, J. H., Kalakanis, L., Rubenstein, A. J., Larson, A., Hallam, M., & Smoot, M. (2000). Maxims or myths of beauty? A meta-analytic and theoretical review. Psychological Bulletin, 126(3), 390. doi: 10.1037/0033-2909.126.3.390
   PubMed Web of Science ®Google Scholar
• Lee, J. S., Hsu, L. T., Han, H., & Kim, Y. (2010). Understanding how consumers view green hotels: How a hotel’s green image can influence behavioural intentions. Journal of Sustainable Tourism, 18(7), 901–914. doi: 10.1080/09669581003777747
   Web of Science ®Google Scholar
• Lee, Z. C., & Yurchisin, J. (2011). The impact of website attractiveness, consumer website identification, and website trustworthiness on purchase intention. International Journal of Electronic Customer Relationship Management, 5(3), 272–287. doi: 10.1504/IJECRM.2011.044692
   Google Scholar
• Lekwa, V. L., Rice, T. W., & Hibbing, M. V. (2007). The Correlates of Community Attractiveness. Environment and Behavior, 39(2), 198–216. doi: 10.1177/0013916506288055
   Web of Science ®Google Scholar
• Lin, Y. H., Wu, C. Y., & Chang, J. (2006). Destination image and visit intention among members of Yahoo!-Taiwan’s travel communities: An online survey approach. Tourism Analysis, 11(1), 61–69. doi: 10.3727/108354206777770628
   Google Scholar
• Liu, Z., & Park, S. (2015). What makes a useful online review? Implication for travel product websites. Tourism Management, 47, 140–151. doi: 10.1016/j.tourman.2014.09.020
   Web of Science ®Google Scholar
• Llach, J., Marimon, F., del Mar Alonso-Almeida, M., & Bernardo, M. (2013). Determinants of online booking loyalties for the purchasing of airline tickets. Tourism Management, 35, 23–31. doi: 10.1016/j.tourman.2012.05.006
   Web of Science ®Google Scholar
• Loiacono, E. T., Watson, R. T., & Goodhue, D. L. (2007). WebQual: An instrument for consumer evaluation of web sites. International Journal of Electronic Commerce, 11(3), 51–87. doi: 10.2753/JEC1086-4415110302
   Web of Science ®Google Scholar
• Lu, Y. (2004). Web site survey. Quality and Reliability Engineering International, 20(6), 5–6. doi: 10.1002/qre.570
   Web of Science ®Google Scholar
• Luna-Nevarez, C., & Hyman, M. R. (2012). Common practices in destination website design. Journal of Destination Marketing & Management, 1(1), 94–106. doi: 10.1016/j.jdmm.2012.08.002
   Web of Science ®Google Scholar
• Luo, J., Ba, S., & Zhang, H. (2012). The effectiveness of online shopping characteristics and well-designed websites on satisfaction. Mis Quarterly, 36(4), 1131–1144.
   Web of Science ®Google Scholar
• Luo, Q., & Zhong, D. (2015). Using social network analysis to explain communication characteristics of travel-related electronic word-of-mouth on social networking sites. Tourism Management, 46, 274–282. doi: 10.1016/j.tourman.2014.07.007
   Web of Science ®Google Scholar
• Mazaheri, E., Richard, M. O., & Laroche, M. (2011). Online consumer behavior: Comparing Canadian and Chinese website visitors. Journal of Business Research, 64(9), 958–965. doi: 10.1016/j.jbusres.2010.11.018
   Web of Science ®Google Scholar
• Mohd-Any, A. A., Winklhofer, H., & Ennew, C. (2015). Measuring users’ value experience on a travel website (e-value) what value is cocreated by the user? Journal of Travel Research, 54(4), 496–510. doi: 10.1177/0047287514522879
   Web of Science ®Google Scholar
• Moran, M., & Hunt, B. (2014). Search Engine Marketing, Inc: Driving search traffic to your company’s web site. New York: Pearson Education.
   Google Scholar
• Murdy, S. (2016). Evaluations of a destination across travel contexts: Examining the evoked set. In M. D. Groza & C. B. Ragland (Eds.), Marketing challenges in a turbulent business environment (pp. 391–392). Berlin: Springer. doi: 10.1007/978-3-319-19428-8_105
   Google Scholar
• Nakatani, K., & Chuang, T. T. (2011). A web analytics tool selection method: An analytical hierarchy process approach. Internet Research, 21(2), 171–186. doi: 10.1108/10662241111123757
   Web of Science ®Google Scholar
• Namkung, Y., & Jang, S. S. (2014). Are consumers willing to pay more for green practices at restaurants? Journal of Hospitality & Tourism Research. Advance online publication. doi:10.1177/1096348014525632.
   Google Scholar
• Newbert, S. L. (2007). Empirical research on the resource-based view of the firm: An assessment and suggestions for future research. Strategic Management Journal, 28(2), 121–146. doi: 10.1002/smj.573
   Web of Science ®Google Scholar
• Niu, Y., Wang, C. L., Yin, S., & Niu, Y. (2015). How do destination management organization-led postings facilitate word-of-mouth communications in online tourist communities? A content analysis of China’s 5A-class tourist resort websites. Journal of Travel & Tourism Marketing, 33(7), 929–948. doi:10.1080/10548408.2015.1075455.
   Web of Science ®Google Scholar
• No, E., & Kim, J. K. (2014). Determinants of the adoption for travel information on smartphone. International Journal of Tourism Research, 16(6), 534–545. doi: 10.1002/jtr.1945
   Web of Science ®Google Scholar
• Nusair, K., & Kandampully, J. (2008). The antecedents of customer satisfaction with online travel services: A conceptual model. European Business Review, 20(1), 4–19. doi: 10.1108/09555340810843663
   Google Scholar
• Pakkala, H., Presser, K., & Christensen, T. (2012). Using Google Analytics to measure visitor statistics: The case of food composition websites. International Journal of Information Management, 32(6), 504–512. doi: 10.1016/j.ijinfomgt.2012.04.008
   Web of Science ®Google Scholar
• Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). ES-QUAL a multiple-item scale for assessing electronic service quality. Journal of service research, 7(3), 213–233. doi: 10.1177/1094670504271156
   Web of Science ®Google Scholar
• Park, Y. A., & Gretzel, U. (2007). Success factors for destination marketing web sites: A qualitative meta-analysis. Journal of Travel Research, 46(1), 46–63. doi: 10.1177/0047287507302381
   Google Scholar
• Phillips, W., & Jang, S. (2007). Destination image and visit intention: Examining the moderating role of motivation. Tourism Analysis, 12(4), 319–326. doi: 10.3727/108354207782212387
   Google Scholar
• Plaza, B. (2011). Google Analytics for measuring website performance. Tourism Management, 32(3), 477–481. doi: 10.1016/j.tourman.2010.03.015
   Web of Science ®Google Scholar
• Ponomarov, S. (2012). Antecedents and consequences of supply chain resilience: A dynamic capabilities perspective (PhD thesis). University of Tenesse, Knoxville.
   Google Scholar
• Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management, 20(1), 124–143. doi: 10.1108/09574090910954873
   Web of Science ®Google Scholar
• Rice, M. (1997). What makes users revisit a web-site? Marketing News, 31(6), 12.
   Google Scholar
• Sahay, B. S., & Ranjan, J. (2008). Real time business intelligence in supply chain analytics. Information Management & Computer Security, 16(1), 28–48. doi: 10.1108/09685220810862733
   Google Scholar
• Schenkman, B. N., & Jönsson, F. U. (2000). Aesthetics and preferences of web pages. Behaviour & Information Technology, 19(5), 367–377. doi: 10.1080/014492900750000063
   Web of Science ®Google Scholar
• Schmidt, S., Cantallops, A. S., & dos Santos, C. P. (2008). The characteristics of hotel websites and their implications for website effectiveness. International Journal of Hospitality Management, 27(4), 504–516. doi: 10.1016/j.ijhm.2007.08.002
   Web of Science ®Google Scholar
• Scholten, K., Sharkey Scott, P., & Fynes, B. (2014). Mitigation processes–antecedents for building supply chain resilience. Supply Chain Management: An International Journal, 19(2), 211–228. doi: 10.1108/SCM-06-2013-0191
   Web of Science ®Google Scholar
• Sen, S., & Lerman, D. (2007). Why are you telling me this? An examination into negative consumer reviews on the web. Journal of Interactive Marketing, 21(4), 76e94. doi: 10.1002/dir.20090
   Web of Science ®Google Scholar
• Sharma, R., Mithas, S., & Kankanhalli, A. (2014). Transforming decision-making processes: A research agenda for understanding the impact of business analytics on organisations. European Journal of Information Systems, 23(4), 433–441. doi: 10.1057/ejis.2014.17
   Web of Science ®Google Scholar
• Sparks, B. A., Perkins, H. E., & Buckley, R. (2013). Online travel reviews as persuasive communication: The effects of content type, source, and certification logos on consumer behavior. Tourism Management, 39, 1–9. doi: 10.1016/j.tourman.2013.03.007
   Web of Science ®Google Scholar
• Srinivasan, S. S., Anderson, R., & Ponnavolu, K. (2002). Customer loyalty in e-commerce: An exploration of its antecedents and consequences. Journal of Retailing, 78(1), 41–50. doi: 10.1016/S0022-4359(01)00065-3
   Web of Science ®Google Scholar
• Standing, C., Tang-Taye, J. P., & Boyer, M. (2014). The impact of the Internet in travel and tourism: A research review 2001–2010. Journal of Travel & Tourism Marketing, 31(1), 82–113. doi: 10.1080/10548408.2014.861724
   Web of Science ®Google Scholar
• Sun, P., Cárdenas, D. A., & Harrill, R. (2015). Chinese customers’ evaluation of travel agency website quality: A decision tree analysis. Journal of Hospitality Marketing & Management, 25(4), 567–581.
   Web of Science ®Google Scholar
• Sutcliffe, A. (2002). Assessing the reliability of heuristic evaluation for Web site attractiveness and usability. Proceedings of the 35th annual Hawaii international conference on System Sciences, IEEE (Ed.), IEEE, Hawaii, pp. 1838–1847.
   Google Scholar
• Sutcliffe, W. (2006). Managing the unexpected: Assuring high performance in an age of complexity. New York: John Wiley & Sons.
   Google Scholar
• Swafford, P. M., Ghosh, S., & Murthy, N. (2008). Achieving supply chain agility through IT integration and flexibility. International Journal of Production Economics, 116(2), 288–297. doi: 10.1016/j.ijpe.2008.09.002
   Web of Science ®Google Scholar
• Swafford, P. M., Ghosh, S., & Murthy, N. N. (2006). A framework for assessing value chain agility. International Journal of Operations & Production Management, 26(2), 118–140. doi: 10.1108/01443570610641639
   Web of Science ®Google Scholar
• Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319–1350. doi: 10.1002/smj.640
   Web of Science ®Google Scholar
• Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533. doi: 10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z
   Web of Science ®Google Scholar
• Umberson, D., & Hughes, M. (1987). The impact of physical attractiveness on achievement and psychological wellbeing. Social Psychology Quarterly, 50(3), 227–236. doi: 10.2307/2786823
   Web of Science ®Google Scholar
• van der Heijden, H., Verhagen, T., & Creemers, M. (2003). Understanding online purchase intentions: Contributions from technology and trust perspectives. European Journal of Information Systems, 12(1), 41–48. doi: 10.1057/palgrave.ejis.3000445
   Web of Science ®Google Scholar
• Vatankhah, N., Wei, K. T., & Letchmunan, S. (2014). Usability measurement of Malaysian online tourism websites. International Journal of Software Engineering and Its Applications, 8(12), 1–18.
   Google Scholar
• Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 23, 425–478.
   Google Scholar
• Verhoef, P. C., & Lemon, K. N. (2013). Successful customer value management: Key lessons and emerging trends. European Management Journal, 31(1), 1–15. doi: 10.1016/j.emj.2012.08.001
   Web of Science ®Google Scholar
• Vermeulen, I. E., & Seegers, D. (2009). Tried and tested: The impact of online hotel reviews on consumer consideration. Tourism Management, 30(1), 123–127. doi: 10.1016/j.tourman.2008.04.008
   Web of Science ®Google Scholar
• Vinod, B. (2011). The future of online travel. Journal of Revenue and Pricing Management, 10(1), 56–61. doi: 10.1057/rpm.2010.41
   Google Scholar
• Wernerfelt, B. (2014). On the role of the RBV in marketing. Journal of the Academy of Marketing Science, 42(1), 22–23. doi: 10.1007/s11747-013-0335-8
   Web of Science ®Google Scholar
• Wieland, A., & Marcus Wallenburg, C. (2013). The influence of relational competencies on supply chain resilience: A relational view. International Journal of Physical Distribution & Logistics Management, 43(4), 300–320. doi: 10.1108/IJPDLM-08-2012-0243
   Web of Science ®Google Scholar
• Wirtz, B. W., Piehler, R., & Ullrich, S. (2013). Determinants of social media website attractiveness. Journal of Electronic Commerce Research, 14(1), 11–33.
   Web of Science ®Google Scholar
• Wu, W. Y., Lee, C. L., Fu, C. S., & Wang, H. C. (2013). How can online store layout design and atmosphere influence consumer shopping intention on a website? International Journal of Retail & Distribution Management, 42(1), 4–24. doi: 10.1108/IJRDM-01-2013-0035
   Google Scholar
• Wyche, S. P., Schoenebeck, S. Y., & Forte, A. (2013, February). Facebook is a luxury: An exploratory study of social media use in rural Kenya. Proceedings of the 2013 conference on Computer supported cooperative work, San Antonio, TX, pp. 33–44. ACM.
   Google Scholar
• Yang, Y., Pan, B., & Song, H. (2014). Predicting hotel demand using destination marketing organization’s web traffic data. Journal of Travel Research, 53(4), 433–447. doi: 10.1177/0047287513500391
   Web of Science ®Google Scholar
• Yoo, B., & Donthu, N. (2001). Developing and validating a multidimensional consumer-based brand equity scale. Journal of Business Research, 52(1), 1–14. doi: 10.1016/S0148-2963(99)00098-3
   Web of Science ®Google Scholar
• Yusuf, Y. Y., Gunasekaran, A., Musa, A., Dauda, M., El-Berishy, N. M., & Cang, S. (2014). A relational study of supply chain agility, competitiveness and business performance in the oil and gas industry. International Journal of Production Economics, 147, 531–543. doi: 10.1016/j.ijpe.2012.10.009
   Web of Science ®Google Scholar
• Zollo, M., & Winter, S. G. (2002). Deliberate learning and the evolution of dynamic capabilities. Organization Science, 13(3), 339–351. doi: 10.1287/orsc.13.3.339.2780
   Web of Science ®Google Scholar
• Zulkafli, N. A., Omar, B., & Hashim, N. H. (2014). Selective exposure to Berita Harian online and Utusan Malaysia online: The roles of surveillance motivation, website usability and website attractiveness. SEARCH: The Journal of the South East Asia Research Centre for Communication and Humanities, 2(6), 1–21.
   Google Scholar