1 |
Stienmetz, J. L., & Fesenmaier, D. R. (2015). Estimating value in Baltimore, Maryland: An attractions network analysis. Tourism Management, 50, 238-252.
DOI
|
2 |
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
|
3 |
Li, X., & Wang, Y. (2010). Evaluating the effectiveness of destination marketing organisations' websites: Evidence from China. International Journal of Tourism Research, 12(5), 536-549.
DOI
|
4 |
Luna-Nevarez, C., & Hyman, M. R. (2012). Common practices in destination website design. Journal of Destination Marketing and Management, 1(1-2), 94-106.
DOI
|
5 |
Mayer-Schonberger, V., & Cukier, K. (2013). Big data: A revolution that will transform how we live, work, and think. New York: Houghton Mifflin Harcourt Publishing Company.
|
6 |
Onder, I., & Berbekova, A. (2021). Web analytics: More than website performance evaluation? International Journal of Tourism Cities. Advance online publication. https://doi.org/10.1108/IJTC-03-2021-0039
DOI
|
7 |
Stienmetz, J. L., & Fesenmaier, D. R. (2019). Destination value systems: Modeling visitor flow structure and economic impact. Journal of Travel Research, 58(8), 1249-1261.
DOI
|
8 |
Park, S., & Kim, D. Y. (2017). Assessing language discrepancies between travelers and online travel recommendation systems: Application of the Jaccard distance score to web data mining. Technological Forecasting and Social Change, 123, 381-388.
DOI
|
9 |
Pike, S., & Page, S. J. (2014). Destination Marketing Organizations and destination marketing: A narrative analysis of the literature. Tourism Management, 41, 202-227.
DOI
|
10 |
Plaza, B. (2011). Google Analytics for measuring website performance. Tourism Management, 32(3), 477-481.
DOI
|
11 |
Stienmetz, J. L., Levy, S. E., & Boo, S. (2013). Factors influencing the usability of mobile destination management organization websites. Journal of Travel Research, 52(4), 453-464.
DOI
|
12 |
Van den Poel, D., & Buckinx, W. (2005). Predicting online-purchasing behaviour. European Journal of Operational Research, 166(2), 557-575.
DOI
|
13 |
Yuan, Y. L., Gretzel, U., & Fesenmaier, D. R. (2006). The role of information technology use in American convention and visitors bureaus. Tourism Management, 27(2), 326-341.
DOI
|
14 |
Gretzel, U. (2011). Intelligent systems in tourism. Annals of Tourism Research, 38(3), 757-779.
DOI
|
15 |
Bucklin, R. E., & Sismeiro, C. (2003). A model of web site browsing behavior estimated on clickstream data. Journal of Marketing Research, 40(3), 249-267.
DOI
|
16 |
Davenport, T. (2014). Big data at work: Dispelling the myths, uncovering the opportunities. Boston, MA: Harvard Business Review Press.
|
17 |
Zach, F., Gretzel, U., & Xiang, Z. (2010). Innovation in the web marketing programs of American convention and visitor bureaus. Information Technology and Tourism, 12(1), 47-63.
DOI
|
18 |
Fesenmaier, D. R., & Xiang, Z. (2014). Tourism marketing from 1990-2010: Two decades and a new paradigm. In S. McCabe (Ed.), The handbook of tourism marketing (pp. 549-560). Burlington, MA: Routledge.
|
19 |
Fuchs, M., Ho pken, W., & Lexhagen, M. (2014). Big data analytics for knowledge generation in tourism destinations-A case from Sweden. Journal of Destination Marketing and Management, 3(4), 198-209.
DOI
|
20 |
Govers, R., Go, F. M., & Kumar, K. (2007). Promoting tourism destination image. Journal of Travel Research, 46(1), 15-23.
DOI
|
21 |
Gretzel, U., Fesenmaier, D. R., & O'Leary, J. T. (2006). The transformation of consumer behaviour. In D. Buhalis, C. Costa & F. Ford (Eds.), Tourism business frontiers: Consumers, products and industry (pp. 7-16). Burlington, MA: Routledge.
|
22 |
Ho pken, W., Fuchs, M., Keil, D., & Lexhagen, M. (2011). The knowledge destination-A customer information-based destination management information system. In R. Law, M. Fuchs & F. Ricci (Eds.), Information and communication technologies in tourism (pp. 417-429). Vienna: Springer.
|
23 |
Joachims, T., Granka, L., Pan, B., Hembrooke, H., & Gay, G. (2005). Accurately interpreting clickthrough data as implicit feedback. Proceeding of 28th Annual ACM SIGIR Conference. New York: ACM, 154-161. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.147.2481&rep=rep1&type=pdf
|
24 |
Kim, H., & Fesenmaier, D. R. (2008). Persuasive design of destination web sites: An analysis of first impression. Journal of Travel Research, 47(1), 3-13.
DOI
|
25 |
Kim, J., & Fesenmaier, D. R. (2015). Measuring emotions in real time: Implications for tourism experience design. Journal of Travel Research, 54(4), 419-429.
DOI
|
26 |
Gretzel, U. (2022). The Smart DMO: A new step in the digital transformation of destination management organizations. European Journal of Tourism Research, 30, 3002-3002.
DOI
|
27 |
Lanza, S. T., Collins, L. M., Lemmon, D. R., & Schafer, J. L. (2007). PROC LCA: A SAS Procedure for Latent Class Analysis. Structural Equation Modeling, 14(4), 671-694.
DOI
|
28 |
LaValle, S., Lesser, E., Shockley, R., Hopkins, M. S., & Kruschwitz, N. (2011). Big data, analytics and the path from insights to value. MIT Sloan Management Review, 52, 21-32.
|
29 |
Gunter, U., & O nder, I. (2016). Forecasting city arrivals with Google Analytics. Annals of Tourism Research, 61, 199-212.
DOI
|
30 |
Choi, S., Lehto, X. Y., & Morrison, A. M. (2007). Destination image representation on the web: Content analysis of Macau travel related websites. Tourism Management, 28(1), 118-129.
DOI
|