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| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 鄭佳昆 | zh_TW |
| dc.contributor.advisor | Chia-Kuen Cheng | en |
| dc.contributor.author | 陳奕廷 | zh_TW |
| dc.contributor.author | Yi-Ting Chen | en |
| dc.date.accessioned | 2024-09-15T16:49:36Z | - |
| dc.date.available | 2024-09-16 | - |
| dc.date.copyright | 2024-09-15 | - |
| dc.date.issued | 2024 | - |
| dc.date.submitted | 2024-08-14 | - |
| dc.identifier.citation | 1.王若婷(2014)。台灣國家風景區觀光旅遊網站品質與滿意度之研究〔未出版之碩士論文〕。國立中山大學資訊管理學系研究所。
2.台灣地理資訊學會(2018)。三維地理資訊發展策略研析案期末報告書(修正版) 〔未出版之委託計畫報告〕。行政院國家發展委員會。 3.自強顧問工程有限公司(2022)。東北角旅遊資訊地圖網站操作手冊〔未出版之網站操作手冊〕。交通部觀光署東北角及宜蘭國家風景區管理處。 4.李昆穎(2008)。虛擬國家公園地理資訊視覺化之研究－以陽明山國家公園為例〔未出版之碩士論文〕。中國文化大學地學研究所。 5.陳奕廷、鄭佳昆(2023年1月14日)。網路旅遊資訊搜尋行為之初探-以東北角暨宜蘭海岸國家風景區為例〔口頭發表〕。2023第二十一屆造園景觀學術研討會，臺北市，臺灣。 6.陳述彭、承繼成、陳君、龔建雅(2004)。地理信息系統導論。電子工業出版社。北京。 7.陳應祥(2007)。基於OpenGL的三維GIS建模。通訊和計算，第2期第4卷。 8.楊舜雯、鄭佳昆、林晏州(2014)。解說導覽APP系統使用行為意向之研究。戶外遊憩研究，27(3)，83-108。 9.蕭文龍(2023)。統計分析入門與應用: SPSS中文版+SmartPLS 4 PLS-SEM (第4版)。臺北市：碁峰出版社。 10.數位發展部(2024)。政府網站營運交流平台。https://www.webguide.nat.gov.tw/guidelines/418/show 11.龔建華、林輝、肖樂斌、謝傳節(1999)。地學可視化探討。中國遙感學報，第3卷，第3期，236-244。 12.Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological bulletin, 103(3), 411. 13.Anguelov, D., Dulong, C., Filip, D., Frueh, C., Lafon, S., Lyon, R., . . . Weaver, J. (2010). Google street view: Capturing the world at street level. IEEE Computer, 43, 32-38. doi: 10.1109/MC.2010.170 14.Ayeh, J. K., Au, N., & Law, R. (2013). Predicting the intention to use consumer-generated media for travel planning. Tourism Management, 35, 132-143. doi: https://doi.org/10.1016/j.tourman.2012.06.010 15.Batty, M., Evans, S., & Hudson-Smith, A. (2005). 3-d gis : Virtual london and beyond. Cybergeo. doi: 10.4000/cybergeo.2871 16.Beatty, S. E., & Smith, S. M. (1987). External search effort: An investigation across several product categories. Journal of Consumer Research, 14(1), 83-95. doi: 10.1086/209095 17.Beeharee, A. K., & Steed, A. (2006). A natural wayfinding exploiting photos in pedestrian navigation systems. Paper presented at the Proceedings of the 8th conference on Human-computer interaction with mobile devices and services, Helsinki, Finland. https://doi.org/10.1145/1152215.1152233 18.Beerli, A., & Martín, J. D. (2004). Factors influencing destination image. Annals of Tourism Research, 31(3), 657-681. doi: https://doi.org/10.1016/j.annals.2004.01.010 19.Behling, O., & Law, K. S. (2000). Translating questionnaires and other research instruments: Problems and solutions (Vol. 133): sage. 20.Bellotti, V., Begole, B., Chi, E. H., Ducheneaut, N., Fang, J., Isaacs, E., . . . Price, B. (2008). Activity-based serendipitous recommendations with the magitti mobile leisure guide. Paper presented at the Proceedings of the sigchi conference on human factors in computing systems. 21.Bert, V., Brovelli, M., & Li, S. (2017). Review of web mapping: Eras, trends and directions. ISPRS International Journal of Geo-Information, 6, 317. doi: 10.3390/ijgi6100317 22.Brokou, D., Darra, A., & Kavouras, M. (2021). The new role of cartography in modern tourism. AGILE: GIScience Series, 2, 1-11. doi: 10.5194/agile-giss-2-19-2021 23.Brown, A., Kappes, J., & Marks, J. (2013). Mitigating theme park crowding with incentives and information on mobile devices. Journal of Travel Research, 52(4), 426-436. 24.Buhalis, D., & O'connor, P. (2015). Information communication technology revolutionizing tourism. Tourism Research, 30. doi: 10.1080/02508281.2005.11081482 25.Burigat, S., & Chittaro, L. (2005). Location-aware visualization of vrml models in gps-based mobile guides. Paper presented at the Proceedings of the tenth international conference on 3D Web technology. 26.Chadwick, R. A. (1987). Concepts, definitions and measures used in travel and tourism research. New York: John Wiley & Sons, Inc. 27.Chang, G., & Caneday, L. (2011). Web-based gis in tourism information search: Perceptions, tasks, and trip attributes. [Article]. Tourism Management, 32(6), 1435-1437. doi: 10.1016/j.tourman.2011.01.006 28.Chin, W. W. (2009). How to write up and report pls analyses Handbook of partial least squares: Concepts, methods and applications (pp. 655-690): Springer. 29.Choi, S., Lehto, X. Y., Morrison, A. M., & Jang, S. (2012). Structure of travel planning processes and information use patterns. Journal of Travel Research, 51(1), 26-40. doi: 10.1177/0047287510394191 30.Chung, J. Y., Anuar, F. I., Go, H., & Gretzel, U. (2011). Influence of interactive thematic maps on tourist perceptions: A network analysis. Journal of Hospitality and Tourism Technology, 2(3), 216-234. doi: 10.1108/17579881111173767 31.Churchill, G. A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64-73. doi: 10.1177/002224377901600110 32.Clawson, M., & Knetsch, J. L. (1966). Economics of outdoor recreation: The johns Hopkins University Press for Resources for the Future. 33.Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.) New York: Hillsdale, NJ: Lawrence Erlbaum Associates Publishers. 34.Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences(3rd ed.). Lawrence Erlbaum Associates Publishers. 35.Cooper, C. P. (1981). Spatial and temporal patterns of tourist behaviour. Regional Studies, 15(5), 359-371. doi: 10.1080/09595238100185351 36.Couclelis, H. (2009). Rethinking time geography in the information age. Environment and Planning A, 41, 1556-1575. doi: 10.1068/a4151 37.Crompton, J. L. (1979). Motivations for pleasure vacation. Annals of Tourism Research, 6(4), 408-424. doi: https://doi.org/10.1016/0160-7383(79)90004-5 38.Dash, G., & Paul, J. (2021). Cb-sem vs pls-sem methods for research in social sciences and technology forecasting. Technological Forecasting and Social Change, 173, 121092. doi: https://doi.org/10.1016/j.techfore.2021.121092 39.Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. doi: 10.2307/249008 40.De Jongh, R., Jongh, E., Pienaar, M., Gordon-Grant, H., Oberholzer, M., & Santana, L. (2015). The impact of pre-selected variance inflation factor thresholds on the stability and predictive power of logistic regression models in credit scoring. ORiON, 31. doi: 10.5784/31-1-162 41.Delone, W., & Mclean, E. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3, 60-95. doi: 10.1287/isre.3.1.60 42.Dibiase, D. (1990). Visualization in the earth sciences. Earth and Mineral Sciences, 59. 43.Dillon, W. R., & Goldstein, M. (1984). Multivariate analysis: Methods and applications: New York (NY): Wiley, 1984. 44.Eletxigerra, A., Barrutia, J. M., & Echebarria, C. (2021). Tourist expertise and pre-travel value co-creation: Task-related processes and beyond. Tourism Management Perspectives, 37, 100772. doi: https://doi.org/10.1016/j.tmp.2020.100772 45.Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1995). Consumer behavior: Dryden Press. 46.Eriksson, N., & Strandvik, P. (2009). Possible determinants affecting the use of mobile tourism services. Paper presented at the e-Business and Telecommunications: International Conference, ICETE 2008, Porto, Portugal, July 26-29, 2008, Revised Selected Papers. 47.Etzel, M. J., & Wahlers, R. G. (1985). The use of requested promotional material by pleasure travelers. Journal of Travel Research, 23(4), 2-6. doi: 10.1177/004728758502300401 48.Fesenmaier, D., & Jeng, J. (2000). Assessing structure in the pleasure trip planning process. Tourism Analysis, 5. 49.Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research (Vol. 27). 50.Fodness, D., & Murray, B. (1997). Tourist information search. [Article]. Annals of Tourism Research, 24(3), 503-523. doi: 10.1016/s0160-7383(97)00009-1 51.Fodness, D., & Murray, B. (1998). A typology of tourist information search strategies. Journal of Travel Research - J TRAVEL RES, 37, 108-119. doi: 10.1177/004728759803700202 52.Fodness, D., & Murray, B. (1999). A model of tourist information search behavior. Journal of Travel Research - J TRAVEL RES, 37, 220-230. doi: 10.1177/004728759903700302 53.Folger, P. (2013). Geospatial information and geographic information systems (gis): An overview for congress (pp. 1-19): Congressional Research Service. 54.Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. doi: 10.1177/002224378101800104 55.Forsgren, N., Clay, P., Wang, X., & Durcikova, A. (2016). The integrated user satisfaction model: Assessing information quality and system quality as second-order constructs in system administration. Communications of the Association for Information Systems, 38, 803-839. doi: 10.17705/1CAIS.03839 56.Fuentes-Moraleda, L., Muñoz-Mazón, A., Santiago-Rincón, C., & Orea-Giner, A. (2022). Defining risk reduction strategies for tourists with specific food needs: A qualitative approach. British Food Journal, 124(2), 590-612. 57.Gavalas, D., & Kenteris, M. (2011). A web-based pervasive recommendation system for mobile tourist guides. Personal and Ubiquitous Computing, 15, 759-770. 58.Ghobakhloo, M., Zulkifli, N. B., & Abdul Aziz, F. (2010). The interactive model of user information technology acceptance and satisfaction in small and medium-sized enterprises. European Journal of Economics, Finance and Administrative Sciences, 7-27. 59.Ginzberg, M. J. (1981). Early diagnosis of mis implementation failure: Promising results and unanswered questions. Management Science, 27(4), 459-478. doi: 10.1287/mnsc.27.4.459 60.Grün, C., Werthner, H., Pröll, B., Retschitzegger, W., & Schwinger, W. (2008). Assisting tourists on the move-an evaluation of mobile tourist guides. Paper presented at the 2008 7th international conference on mobile business. 61.Gretzel, U. (2010). Travel in the network: Redirected gazes, ubiquitous connections and new frontiers. Post-global network and everyday life, 41, 58. 62.Gretzel, U., Fesenmaier, D. R., & Oleary, J. T. (2006). The transformation of consumer behaviour Tourism business frontiers: Consumers, products and industry (pp. 9-18). 63.Gretzel, U., Hwang, Y. H., & Fesenmaier, D. R. (2012). Informing destination recommender systems design and evaluation through quantitative research. International Journal of Culture, Tourism and Hospitality Research, 6(4), 297-315. doi: 10.1108/17506181211265040 64.Gretzel, U., & Yoo, K. H. (2008). Use and impact of online travel reviews Information and communication technologies in tourism 2008 (pp. 35-46): Springer. 65.Gupta, J., Srivastava, S., & Asrani, D. K. (2024). E-tourism: A tourist satisfaction of online travel purchasing. International Journal of Innovative Research in Computer Science and Technology (IJIRCST). 66.Gursoy, D., & Chen, J. S. (2000). Competitive analysis of cross cultural information search behavior. Tourism Management, 21(6), 583-590. doi: https://doi.org/10.1016/S0261-5177(00)00005-4 67.Gursoy, D., & Mccleary, K. W. (2004). An integrative model of tourists’ information search behavior. Annals of Tourism Research, 31(2), 353-373. doi: https://doi.org/10.1016/j.annals.2003.12.004 68.Haid, E., Kiechle, G., Göll, N., & Soutschek, M. (2008). Evaluation of a web-based and mobile ski touring application for gps-enabled smartphones Information and communication technologies in tourism 2008 (pp. 313-323): Springer. 69.Hair, J., Hult, G., Ringle, C., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (pls-sem): Sage Publishing. 70.Hair, J., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (pls-sem), 2nd edition: Sage Publishing. 71.Hair, J., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (pls-sem),3rd edition: Sage Publishing. 72.Hair, J., Ringle, C., & Sarstedt, M. (2011). Pls-sem: Indeed a silver bullet. The Journal of Marketing Theory and Practice, 19, 139-151. doi: 10.2753/MTP1069-6679190202 73.Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing New challenges to international marketing (pp. 277-319): Emerald Group Publishing Limited. 74.Hermansen, S. (2007). Cartographies of travel and navigation. Cartographica: The International Journal for Geographic Information and Geovisualization, 42(3), 273-274. doi: 10.3138/carto.42.3.273 75.Ho, C.-I., & Lee, Y.-L. (2007). The development of an e-travel service quality scale. Tourism Management, 28, 1434-1449. doi: 10.1016/j.tourman.2006.12.002 76.Huang, C. D., Goo, J., Nam, K., & Yoo, C. W. (2017). Smart tourism technologies in travel planning: The role of exploration and exploitation. Information & Management, 54(6), 757-770. doi: https://doi.org/10.1016/j.im.2016.11.010 77.Huang, X., Li, M., Zhang, J., Zhang, L., Zhang, H., & Yan, S. (2020). Tourists’ spatial-temporal behavior patterns in theme parks: A case study of ocean park hong kong. Journal of Destination Marketing & Management, 15, 100411. doi: https://doi.org/10.1016/j.jdmm.2020.100411 78.Hubers, C., Schwanen, T., & Dijst, M. (2008). Ict and temporal fragmentation of activities: An analytical framework and initial empirical findings. Tijdschrift voor Economische en Sociale Geografie, 99, 528-546. doi: 10.1111/j.1467-9663.2008.00490.x 79.Jang, S. S. (2013). The past, present, and future research of online information search Handbook of consumer behavior, tourism, and the internet (pp. 41-47): Routledge. 80.Jansen, B. J., Ciamacca, C. C., & Spink, A. (2008). An analysis of travel information searching on the web. Information Technology & Tourism, 10(2), 101-118. 81.Jeng, J., & Fesenmaier, D. R. (2002). Conceptualizing the travel decision-making hierarchy: A review of recent developments. Tourism Analysis, 7, 15-32. doi: 10.3727/108354202108749925 82.Jovanović, V., & Njeguš, A. (2008). The application of gis and its component in tourism. Yugoslav journal of operations research, 18, 261-272. doi: 10.2298/YJOR0802261J 83.Jun, S.-H., Vogt, C., & Mackay, K. (2007). Relationships between travel information search and travel product purchase in pretrip contexts. Journal of Travel Research - J TRAVEL RES, 45, 266-274. doi: 10.1177/0047287506295945 84.Kaasinen, E. (2005). User acceptance of location-aware mobile guides based on seven field studies. Behaviour & Information Technology, 24(1), 37-49. 85.Kah, J., & Lee, S.-H. (2015). A new approach to travel information sources and travel behaviour based on cognitive dissonance theory. Current Issues in Tourism, 19, 1-21. doi: 10.1080/13683500.2015.1043246 86.Kang, S., Jodice, L., & Norman, W. (2020). How do tourists search for tourism information via smartphone before and during their trip? Tourism Recreation Research, 45, 57-68. doi: 10.1080/02508281.2019.1627076 87.Kaplan, D. (2009). Structural equation modeling (2nd ed.): Foundations and extensions (2nd ed.). Thousand Oaks, California: SAGE Publications, Inc. 88.Kerstetter, D., & Cho, M.-H. (2004). Prior knowledge, credibility and information search. Annals of Tourism Research, 31(4), 961-985. doi: https://doi.org/10.1016/j.annals.2004.04.002 89.Kim, D.-Y., Park, J., & Morrison, A. M. (2008a). A model of traveller acceptance of mobile technology. International Journal of Tourism Research, 10(5), 393-407. doi: https://doi.org/10.1002/jtr.669 90.Kim, D.-Y., Park, J., & Morrison, A. M. (2008b). A model of traveller acceptance of mobile technology. International Journal of Tourism Research, 10, 393-407. 91.Kim, J., Ahn, K., & Chung, N. (2013). Examining the factors affecting perceived enjoyment and usage intention of ubiquitous tour information services: A service quality perspective. Asia Pacific Journal of Tourism Research, 18(6), 598-617. 92.Kramer, R., Modsching, M., Ten Hagen, K., & Gretzel, U. (2007). Behavioural impacts of mobile tour guides Information and communication technologies in tourism 2007 (pp. 109-118): Springer. 93.Kumar, A., & Lata, S. (2021). The system quality and customer satisfaction with website quality as mediator in online purchasing: A developing country perspectives. Journal of Operations and Strategic Planning, 4(1), 7-26. doi: 10.1177/2516600X21991945 94.Lamsfus, C., Wang, D., Alzua-Sorzabal, A., & Xiang, Z. (2015). Going mobile:Defining context for on-the-go travelers. Journal of Travel Research, 54(6), 691-701. doi: 10.1177/0047287514538839 95.Liu, X., Wang, D., & Gretzel, U. (2022). On-site decision-making in smartphone-mediated contexts. Tourism Management, 88, 104424. doi: https://doi.org/10.1016/j.tourman.2021.104424 96.Maceachren, A., & Kraak, J. A. (2001). Research challenges in geovisualization. Cartography geograph. Inf. Sci, 28, 3-12. 97.March, R., & Woodside, A. (2005). Testing theory of planned versus realized tourism behavior. Annals of Tourism Research, 32, 905-924. doi: 10.1016/j.annals.2004.07.012 98.Mccormick, B., Defanti, M. D., & Brown, M. D. (1987). Visualisation in scientific computing. Computer Graphics, 21, 6. 99.Mcintosh, R. W., & Goeldner, C. R. (1990). Tourism: Principles, practices, philosophies: Wiley. 100.Melone, N. P. (1990). A theoretical assessment of the user-satisfaction construct in information systems research. Management Science, 36(1), 76-91. doi: 10.1287/mnsc.36.1.76 101.Menard, S. (2002). Applied logistic regression analysis Retrieved from https://methods.sagepub.com/book/applied-logistic-regression-analysis doi:10.4135/9781412983433 102.Mich, L. (2013). Tourism destination websites Ifitt etourism wikipedia: IFITT. 103.Moscardo, G., Morrison, A. M., Pearce, P., Lang, C.-T., & O'leary, J. (1996). Understanding vacation destination choice through travel motivation and activities. Journal of Vacation Marketing, 2, 109-122. doi: 10.1177/135676679600200202 104.Moutinho, L. (1987). Consumer behaviour in tourism. European Journal of Marketing, 21(10), 5-44. doi: 10.1108/EUM0000000004718 105.Nebiker, S. (2003). Support for visualisation and animation in a scalable 3d gis environment: Motivation, concepts and implementation. 106.Neuhofer, B. (2012). An analysis of the perceived value of touristic location based services Information and communication technologies in tourism 2012 (pp. 84-95): Springer. 107.Noguera, J., Barranco, M., Segura, R., & Martinez, L. (2012). A mobile 3d-gis hybrid recommender system for tourism. Information Sciences, 215, 37-52. doi: 10.1016/j.ins.2012.05.010 108.Nunnally, J. C. (1978). An overview of psychological measurement. In B. B. Wolman (Ed.), Clinical diagnosis of mental disorders: A handbook (pp. 97-146). Boston, MA: Springer US. 109.Nurminen, A., & Oulasvirta, A. (2008). Designing interactions for navigation in 3d mobile maps Map-based mobile services (pp. 198-227). 110.Nurminen, A. O., & Sirvio, K. M. (2021). Bus stop spotting: A field experiment comparing 2d maps, augmented reality and 3d maps. Paper presented at the Proceedings of the 23rd International Conference on Mobile Human-Computer Interaction, Toulouse & Virtual, France. https://doi.org/10.1145/3447526.3472051 111.O’connor, P. (2008, 2008//). User-generated content and travel: A case study on tripadvisor.Com. Paper presented at the Information and Communication Technologies in Tourism 2008, Vienna. 112.Oh, S., Lehto, X. Y., & Park, J. (2009). Travelers' intent to use mobile technologies as a function of effort and performance expectancy. Journal of Hospitality Marketing & Management, 18(8), 765-781. 113.Pan, B., & Fesenmaier, D. R. (2006). Online information search: Vacation planning process. Annals of Tourism Research, 33(3), 809-832. doi: https://doi.org/10.1016/j.annals.2006.03.006 114.Pedhazur, E. J. (1997). Multiple regression in behavioral research: Explanation and prediction: Harcourt Brace College Publishers. 115.Peres, R., Correia, A., & Moital, M. (2011). The indicators of intention to adopt mobile electronic tourist guides. Journal of Hospitality and Tourism Technology, 2(2), 120-138. 116.Raitz, K., & Dakhil, M. (1989). A note about information sources for preferred recreational environments. Journal of Travel Research, 27(4), 45-49. 117.Raitz., K., & Dakhil., M. (1989). Recreational choices and environmental preference. Journal of Travel Research, 27(3), 54-54. doi: 10.1177/004728758902700365 118.Raper, J. F., & Maguire, D. J. (1992). Design models and functionality in gis. Computers & Geosciences, 18(4), 387-394. doi: https://doi.org/10.1016/0098-3004(92)90067-2 119.Rasinger, J., Fuchs, M., Beer, T., & Höpken, W. (2009). Building a mobile tourist guide based on tourists' on-site information needs. Tourism Analysis, 14(4), 483-502. 120.Ricci, F. (2010). Mobile recommender systems. Information Technology & Tourism, 12(3), 205-231. 121.Sadiq, M., & Adil, M. (2021). Ecotourism related search for information over the internet: A technology acceptance model perspective. Journal of Ecotourism, 20(1), 70-88. doi: 10.1080/14724049.2020.1785480 122.Salmerón, R., Garcia, C., & Pérez, J. (2020). Overcoming the inconsistences of the variance inflation factor: A redefined vif and a test to detect statistical troubling multicollinearity. 123.Salmerón, R., García Pérez, J., López Martín, M. D. M., & García, C. G. (2016). Collinearity diagnostic applied in ridge estimation through the variance inflation factor. Journal of Applied Statistics, 43(10), 1831-1849. doi: 10.1080/02664763.2015.1120712 124.Schul, P., & Crompton, J. L. (1983). Search behavior of international vacationers: Travel-specific lifiestyle and sociodemographic variables. Journal of Travel Research, 22(2), 25-30. doi: 10.1177/004728758302200206 125.Singh, S., & Bashar, A. (2021). A bibliometric review on the development in e-tourism research. International Hospitality Review, ahead-of-print. doi: 10.1108/IHR-03-2021-0015 126.Slocum, T. A., Blok, C., Jiang, B., Koussoulakou, A., Montello, D. R., Fuhrmann, S., & Hedley, N. R. (2001). Cognitive and usability issues in geovisualization. Cartography and Geographic Information Science, 28(1), 61-75. doi: 10.1559/152304001782173998 127.Snepenger, D., Meged, K., Snelling, M., & Worrall, K. (1990). Information search strategies b y destination-naive tourists. Journal of Travel Research, 29(1), 13-16. doi: 10.1177/004728759002900104 128.Sparrow, B., Liu, J., & Wegner, D. (2011). Google effects on memory: Cognitive consequences of having information at our fingertips. Science (New York, N.Y.), 333, 776-778. doi: 10.1126/science.1207745 129.Srinivasan, P. (1990). On generalizing the two-poisson model. Journal of the American Society for Information Science., 41(1), 61-66. doi: 10.1002/(SICI)1097-4571(199001)41:1<61::AID-ASI5>3.0.CO;2-Q 130.Stewart, S. I., & Vogt, C. (1999). A case-based approach to understanding vacation planning. Leisure Sciences, 21. doi: 10.1080/014904099273165 131.Stienmetz, J. L., & Fesenmaier, D. R. (2013, 2013//). Online channel use and destination advertising response. Paper presented at the Information and Communication Technologies in Tourism 2013, Berlin, Heidelberg. 132.Taylor, D. F. (1994). Perspectives on visualization and modern cartography Visualization in modern cartography (pp. 333-341): Pergamon Press Lodon. 133.Tsai, C.-Y. (2010). An analysis of usage intentions for mobile travel guide systems. African Journal of Business Management, 4(14), 2962. 134.Tung, V. W. S., & Ritchie, J. R. B. (2011). Exploring the essence of memorable tourism experiences. Annals of Tourism Research, 38(4), 1367-1386. doi: https://doi.org/10.1016/j.annals.2011.03.009 135.Tussyadiah, I. P., & Zach, F. J. (2012). The role of geo-based technology in place experiences. Annals of Tourism Research, 39(2), 780-800. 136.Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425-478. doi: 10.2307/30036540 137.Vogt, C. A., & Fesenmaier, D. R. (1998). Expanding the functional information search model. Annals of Tourism Research, 25(3), 551-578. doi: 10.1016/S0160-7383(98)00010-3 138.Wang, D., Park, S., & Fesenmaier, D. R. (2012). The role of smartphones in mediating the touristic experience. Journal of Travel Research, 51(4), 371-387. doi: 10.1177/0047287511426341 139.Wang, D., Zheng, X., & Fesenmaier, D. R. (2014a). Adapting to the mobile world: A model of smartphone use. Annals of Tourism Research, 48, 11-26. doi: https://doi.org/10.1016/j.annals.2014.04.008 140.Wang, D., Zheng, X., & Fesenmaier, D. R. (2014b). Smartphone use in everyday life and travel. Journal of Travel Research. doi: 10.1177/0047287514535847 141.Wilkie, W. L., & Dickson, P. R. (1985). Shopping for appliances: Consumers' strategies and patterns of information search. (No Title). 142.Williams, L. J., & Hazer, J. T. (1986). Antecedents and consequences of satisfaction and commitment in turnover models: A reanalysis using latent variable structural equation methods. Journal of Applied Psychology, 71, 219-231. 143.Wixom, B., & Todd, P. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16, 85-102. doi: 10.1287/isre.1050.0042 144.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. doi: https://doi.org/10.1016/j.jretconser.2014.08.005 145.Zheng, X., & Gretzel, U. (2010). Role of social media in online travel information search. Tourism Management, 31, 179-188. doi: 10.1016/j.tourman.2009.02.016 146.Zheng, X., Wang, D., O'leary, J., & Fesenmaier, D. R. (2014). Adapting to the internet: Trends in travelers' use of the web for trip planning. Journal of Travel Research, 54. doi: 10.1177/0047287514522883 | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/95691 | - |
| dc.description.abstract | 遊客為旅遊計畫而進行資訊搜尋，因行動資訊裝置及網路普及，遊客透過網路資源搜尋旅遊資訊成為主流，而旅遊目的地管理機關亦建置網站並視為行銷重要管道。遊客透過地圖搜尋地理旅遊資訊，三維(There-Dimensional,3D)立體地圖較二維(Two-Dimensional,2D)平面地圖更接近真實地理特徵，提供更直觀的體驗及感受，因此3D地圖在旅遊資訊搜尋應用中具有重要性及未來發展趨勢。東北角及宜蘭海岸國家風景區經營管理機關已建置之「東北角旅遊資訊地圖網站」，以線上地圖為基礎呈現遊客所需之旅遊資訊。
科技接受模式(Technology Acceptance Model, TAM) 於1989年由Davis提出用以探討使用者對科技系統的信念、態度及意圖間的關係，2005年學者Wixom 和Todd提出滿意度整合科技接受模式，被廣泛運用於預測和解釋使用者對科技系統的接受程度。本研究目的透過滿意度及科技接受模式評估「東北角旅遊資訊地圖網站」功能，並探討影響使用者對資訊及系統品質、滿意度、認知有用性、認知易用性、態度及行為意向之關係，提供目的地管理機關網站功能優化之參考，藉以促進遊客使用意願提升網站成效。 本研究於112年10月至113年3月以現地問卷調查福隆遊客中心和大里遊客中心共307位遊客，實際使用網站並完成指定操作任務後之想法，以偏最小平方法的結構方程模型(PLS-SEM)分析，結果顯示以滿意度及科技接受模式檢驗遊客對網站想法的各變項間關係，統計上具有良好之信效度，且具有良好解釋能力以及預測能力，各變項皆獲得高度認同，分析結果顯示，資訊及系統品質中各構面部分構面顯著影響品質，路徑分析結果發現資訊品質顯著正向影響資訊滿意度，系統品質顯著正向影響系統滿意度，資訊滿意度顯著正向影響認知有用性，系統滿意度顯著正向影響認知易用性，認知有用性及認知易用性皆顯著正向影響對該網站的態度，而態度亦顯著正向影響使用意向。 整體而言，本研究深入分析東北角地區遊客對「東北角旅遊資訊地圖網站」的評價及其影響因素，並提供優化網站的建議，研究結果對理解遊客的行為意向有所幫助，也為未來改進網站提供了實用的參考。 | zh_TW |
| dc.description.abstract | Tourists conduct information searches for travel planning, and with the widespread use of mobile devices and the Internet, online searches for travel information have become the norm. Destination management organizations have established websites and consider them essential marketing tools. Tourists utilize maps to obtain geographical travel information, with three-dimensional (3D) maps providing a more realistic representation of geographical features compared to two-dimensional (2D) maps, thereby offering a more intuitive experience. As a result, 3D maps are increasingly significant and hold substantial potential for future development in travel information applications.
The Technology Acceptance Model (TAM), introduced by Davis in 1989, explores the relationships among users' beliefs, attitudes, and intentions regarding technology systems. In 2005, Wixom and Todd extended TAM by integrating user satisfaction, which has been extensively used to predict and explain technology system acceptance. This study aims to evaluate the functionality of the "Northeast and Yilan Coast Tourism Information Website" and to investigate the relationships affecting users' perceptions of information and system quality, satisfaction, perceived usefulness, perceived ease of use, attitude, and behavioral intention. From October 2023 to March 2024, a field survey was conducted with 307 tourists at the Fulong Visitor Center and the Dali Visitor Center. Participants' feedback was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results showed that the relationships among variables related to tourists' perceptions of the website, assessed through satisfaction and TAM, exhibited good statistical reliability and validity, with strong explanatory and predictive capabilities. All variables received high endorsement. Path analysis revealed that various dimensions of information and system quality significantly impacted their respective qualities. Additionally, satisfaction positively influenced perceived usefulness and ease of use, which in turn shaped user attitudes towards the website. Positive attitudes subsequently increased intentions to use the site. Overall, this study provides a comprehensive analysis of tourists' evaluations and the factors influencing their perceptions of the "Northeast and Yilan Coast Tourism Information Website," offering recommendations for website optimization. The findings enhance the understanding of tourist behavioral intentions and provide valuable insights for future improvements to the website. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-09-15T16:49:36Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2024-09-15T16:49:36Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 口試委員會審定書 I
誌謝 II 摘要 III Abstract V 表次 X 圖次 XIII 第 一 章 緒論 1 第一節 、研究緣起 1 第二節 、研究目的 3 第三節 、研究流程 4 第 二 章 文獻回顧 5 第一節 、旅遊行為與旅遊資訊搜尋 5 一、 旅遊資訊搜尋 5 二、 旅遊資訊搜尋網路來源：旅遊資訊網站 9 三、 網路旅遊資訊搜尋工具之應用 10 四、 東北角地區遊客使用網路搜尋旅遊資訊之偏好 12 第二節 、地圖與地理資訊的發展 14 一、 地圖與地理資訊 14 二、 2D及3D地圖呈現差異 15 三、 2D及3D地圖應用比較 18 第三節 、旅遊地圖網站應用 21 一、 旅遊地圖及旅遊地理資訊 21 二、 目的地旅遊資訊地圖網站 22 第四節 、科技接受模式 26 第五節 、小結 30 第 三 章 研究方法 31 第一節 、研究問題與假設 31 第二節 、研究變項與測量方法 33 一、 資訊品質構面 33 二、 系統品質構面 34 三、 品質及滿意度 34 四、 科技接受模式 35 第三節 、研究對象及範圍 36 第四節 、實驗操作方法 37 一、 實驗場域及工具 37 二、 操作網站任務 38 三、 實驗流程 40 第五節 、資料分析方法 41 第 四 章 研究結果 44 第一節 、受測者基本特性分析 44 一、 性別及年齡 44 二、 居住地 45 三、 教育程度及職業 46 四、 旅遊特性統計 47 第二節 、不同資訊設備差異分析 49 第三節 、合併樣本之結構方程模型分析 51 一、 描述性統計 51 二、 測量模型分析(驗證性因素分析) 56 三、 結構模型分析(路徑分析) 62 第四節 、分組樣本之結構方程模型分析 68 一、 分組樣本描述性統計比較 68 二、 手機組樣本之PLS結構方程模型分析 75 三、 筆電組樣本之PLS結構方程模型分析 88 第 五 章 結論與建議 100 第一節 、結論與討論 100 一、 不同評估因子對資訊及系統品質之影響 100 二、 不同變項對使用意向之影響 103 三、 研究結果應用 104 第二節 、研究限制 106 第三節 、未來研究建議 107 參考文獻 109 附錄-問卷 121 | - |
| dc.language.iso | zh_TW | - |
| dc.title | 以科技接受模式探討旅遊資訊地圖網站使用意向之研究 | zh_TW |
| dc.title | The Usage Intention of Tourism Information Website Based on the Technology Acceptance Model | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 112-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 林晏州;歐聖榮;郭彰仁;林建堯 | zh_TW |
| dc.contributor.oralexamcommittee | Yann-Jou Lin;Sheng-Jung Ou;Chang-Jen Kuo;Chien-Yau Lin | en |
| dc.subject.keyword | 旅遊資訊搜尋,旅遊目的地,網路地理資訊系統,3D地圖,科技接受模式, | zh_TW |
| dc.subject.keyword | Tourism Information Search,Tourism Destination,WebGIS,3D maps,Technology Acceptance Model, | en |
| dc.relation.page | 125 | - |
| dc.identifier.doi | 10.6342/NTU202404238 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2024-08-14 | - |
| dc.contributor.author-college | 生物資源暨農學院 | - |
| dc.contributor.author-dept | 園藝暨景觀學系 | - |
| dc.date.embargo-lift | 2026-08-14 | - |
| Appears in Collections: | 園藝暨景觀學系 | |
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| ntu-112-2.pdf Restricted Access | 4.34 MB | Adobe PDF | View/Open |
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