Infrastructure-Based Modeling in the Development of Electronic Tourism by Structural Equation Modeling Approach (Case Study: Yazd Province)

Document Type : Research Paper

Authors

1 Assistant Professor of Management, University Of Science and art, Yazd

2 Graduate in IT Management, University Of Science and art, Yazd

Abstract

Extended Abstract
Tourism is one of the fast-growing economic areas, with a significant amount of income, employment, and national production. Together with the advancement of various industries, information technology has been rapidly expanding in multiple parts of human life. Tourism is also influenced by the influence of information technology, and the subject of electronic tourism is the result of the combination of these two areas. Considering the existence of diverse tourist attractions in Yazd province and also the necessity to use the capacity of cyberspace, in this research, the factors influencing the development of electronic tourism and causal relations among them have been identified. The most critical infrastructural factors identified in this field are then determined, and then a conceptual model of relationships between these factors is developed. Then, using the structural equation modeling approach, the proposed model was tested. The results of the research show that the quality of software has the role of full mediation in the relationship between other structures with the development of electronic tourism. It can be said that success in this area depends on government support, the quality of information systems and infrastructure, but this effect is made possible by the features of the software programmed.
Introduction
The value of tourism and related activities will be more apparent when we know that its income is equal to that of oil revenues. Today an electronic branch of this industry named electronic tourism, which is the source of potential economic and cultural movements, that cause revolution in the process and transactions. Therefore, the proper development of electronic tourism as one of the most important means of economic growth in today's world can boost many of the infrastructures of each country's economy and play a significant role in increasing the level of gross national product. Due to this technology shifts in tourism, considering the infrastructure that facilitates the development of e-tourism is the necessity. This research studied the information system elements that assumed effects on implementation and improving e-tourism in Yazd province. For this purpose, the survey was done and gathered data analyzed by structural equation modeling.
 
Materials and Methods
A survey has been implemented to collect required data for testing conceptual research model. Further to library study, two separate questionnaires were designed in this regard. In the first step by Delphi approach, different infrastructure factors which were extracted from literature study was ranked by nine selected experts in Yazd Province tourism industry. Final elements then exploit in a questionnaire which designed to gather required mass data for testing conceptual model by structural equation modeling. It should be noted that the required sample is exclusively chosen from people with a minimum of 5 years of experience in the tourism industry. By simple random sampling method, 386 people were selected to respond the second questionnaire. After preprocessing gathered data, a covariance-based structural equation modeling method has been used. For this purpose, SPSS software was used for preliminary analysis of the data extracted from the questionnaire and AMOS for validating the conceptual model of the research and measuring of the constructs regression weights.
 
Discussion and Results
Four independent variables were studied in this research which includes: legal, information systems, quantity, and quality of infrastructure, software. These variables assumed affects e-tourism development as a primary dependent variable. For the conceptual model test, validity and reliability of that calculated based on different approach. For the purpose first explorative factor analysis done and all questions controlled for factor loadings. Then after by AMOS software conceptual model tested by the various good of fitness parameters. Due to an acceptable level for all fitness indexes, model altered and questions with low factor loading removed. Research final result was path coefficients which would be significant to consider as meaningful in the model.
 
 
Conclusion
The results obtained from the general research model test indicate that the hardware and infrastructure dimensions, information systems and legal-governmental through the intermediary software agent, promote the development of e-tourism. Considering the full mediator role of the software agent's, it's essential evidence that the development of e-tourism relies strongly on software dimension. It is clear, of course, concluded that the software factor has full mediator effects on the model which imply all other activities to strengthen e-tourism development dependent on that. Also, it shall be noticed infrastructure and legislation factors both have high path coefficient with software which imply basically to develop e-tourism infrastructure and legislation would facilitate context to software performance rise upward.
 
Keywords: e-tourism, information technology, tourism infrastructure, structural equation modeling, Yazd province.
 
References:
1.    Hashemi, S., Mahboobfar, M., Khaki, N., Mokhtari, F (2014). An Analysis of Factors Affecting the Development of Electronic Tourism Development Using a Strategic SWOT Case Study: Iran, Quarterly Journal, Department of Tourism Management, 2(2) : PP?.
2.    Mokhtari Malekabadi, R. & Soleimani, F. (2014). Evaluating the implementation of electronic tourism in the city of Yasou, The 6th National Conference on Urban Planning and Management with emphasis on the components of the Islamic city, 21 and 22 November 2014 Mashhad Holy.
3.    Buhalis, D., & Deimezi, O. (2004). E-tourism developments in Greece: Information communication technologies adoption for the strategic management of the Greek tourism industry, Tourism and Hospitality Research, 5(2): 103-130.
4.    Kim, C. (2004). E-tourism: an innovative approach for the small and medium-sized tourism enterprises (SMTEs) in Korea, OECD.
5.    Pradhan, A. R., Laefer, D. F., & Rasdorf, W. J. (2007). Infrastructure management information system framework requirements for disasters, Journal of Computing in Civil Engineering, 21(2): 90-101.
6.    Shafiee, M. M., Rahimzadeh, S., & Haghighizade, R. (2016). The effect of implementing SEO techniques and websites design methods on e-tourism development: A study of travel agencies e-tourism websites, In e-Commerce in Developing Countries: with focus on e-Tourism (ECDC), 2016 10th International Conference on (pp. 1-8). IEEE.

Keywords

References

  1.  

    1. Berger, H., Dittenbach, M., Merkl, D., Bogdanovych, A., Simoff, S., & Sierra, C. (2006). Playing the e-business game in 3D virtual worlds. In Proceedings of the 18th Australia conference on Computer-Human Interaction: Design: Activities, Artefacts and Environments (pp. 333-336). ACM.
    2. Buhalis, D., & Deimezi, O. (2004). E-tourism developments in Greece: Information communication technologies adoption for the strategic management of the Greek tourism industry, Tourism and Hospitality Research, 5(2): 103-130.
    3. Buhalis, D., Leung, D., & Law, R. (2011). Etourism: critical information and communication technologies for tourism destinations, Destination marketing and management: Theories and applications, 2011, 205-224.
    4. Camarinha-Matos, L. M., & Afsarmanesh, H. (Eds.). (2008). Collaborative Networks: Reference Modeling. Springer Science & Business Media.
    5. Chang, G., & Caneday, L. (2011). Web-based GIS in tourism information search: Perceptions, tasks, and trip attributes, Tourism Management, 32(6): 1435-1437.
    6. De Cantis, S., Ferrante, M., Kahani, A., & Shoval, N. (2016). Cruise passengers' behavior at the destination: Investigation using GPS technology, Tourism Management, 52(2016):  133-150.
    7. Jansen‐Verbeke, M., & Dewailly, J. M. (1999). Guest editorial: Geography and tourismification Tourism Geographies, 1(1).
    8. Edwards, D., & Griffin, T. (2013). Understanding tourists’ spatial behavior: GPS tracking as an aid to sustainable destination management, Journal of Sustainable Tourism, 21(4): 580-595.
    9. Gretzel, U., Werthner, H., Koo, C., & Lamsfus, C. (2015). Conceptual foundations for understanding smart tourism ecosystems, Computers in Human Behavior, 50 (2015): 558-563.

    10. Jakkilinki, R., Georgievski, M., & Sharda, N. (2007). Connecting destinations with an ontology-based e-tourism planner, Information and Communication Technologies in Tourism, 2007: 21-32.

    11. Kim, C. (2004). E-tourism: an innovative approach for the small and medium-sized tourism enterprises (SMTEs) in Korea, OECD.

    12. Li, L., & Buhalis, D. (2006). E-Commerce in China: The case of travel, International Journal of Information Management, 26(2): 153-166.

    13. Lu, W., & Stepchenkova, S. (2015). User-generated content as a research mode in tourism and hospitality applications: Topics, methods, and software, Journal of Hospitality Marketing & Management, 24(2): 119-154.

    1. Matta, M. G., & Verma, S. (2013). A Factor Analytic Study on Service Quality Perceptions and Satisfaction in the E-Tourism, International Journal of Management and Business Research, 3(3): 257-267.
    2. Meehan, K., Lunney, T., Curran, K, & McCaughey, A. (2013). Context-aware intelligent recommendation system for tourism, pervasive computing and communication workshops, IEEE international conference.
    3. Mohamed, I., & Moradi, L. (2011). A model of e-tourism satisfaction factors for foreign tourists, Australian Journal of Basic and Applied Sciences, 5(12): 877-883.

    17. Motiwalla, L. F., & Thompson, J. (2012). Enterprise Systems for Management (p. 245). Boston, MA: Pearson.

    18. Tigre Moura, F., Gnoth, J., & Deans, K. R. (2015). Localizing cultural values on tourism destination websites: The effects on users’ willingness to travel and destination image, Journal of Travel Research, 54(4): 528-542.

    19. Pradhan, A. R., Laefer, D. F., & Rasdorf, W. J. (2007). Infrastructure management information system framework requirements for disasters, Journal of Computing in Civil Engineering, 21(2), 90-101.

    20. Young, J., & Ridley, G. (2003). E‐commerce in Developing Countries, The Electronic Journal of Information Systems in Developing Countries, 11(1): 1-6.

    21. Shafiee, M. M., Rahimzadeh, S., & Haghighizade, R. (2016). The effect of implementing SEO techniques and websites design methods on e-tourism development: A study of travel agencies e-tourism websites, In e-Commerce in Developing Countries: with focus on e-Tourism (ECDC), 2016 10th International Conference on (pp. 1-8). IEEE.

    22. Szopiński, T., & Staniewski, M. W. (2016). Socio-economic factors determining the way e-tourism is used in European Union member states, Internet Research, 26(1): 2-21.

    23. Wang, Y., Yu, Q., & Fesenmaier, D. R. (2002). Defining the virtual tourist community: implications for tourism marketing, Tourism management, 23(4): 407-417.

    1. Wei, W. (2012). Research on the application of geographic information system in tourism management, Procedia Environmental Sciences, 12 (2012): 1104-1109.
    2. Williams, S., & Lew, A. A. (2014). Tourism geography: Critical understandings of place, space and experience, Routledge.

    26. Yeh, D. Y., & Cheng, C. H. (2015). Recommendation system for popular tourist attractions in Taiwan using Delphi panel and repertory grid techniques, Tourism Management, 46 (2015): 164-176.

    1. Ye, Q., Li, H., Wang, Z., & Law, R. (2014). The influence of hotel price on perceived service quality and value in e-tourism: An empirical investigation based on online traveler reviews, Journal of Hospitality & Tourism Research, 38(1): 23-39.
Journal of Tourism Planning and Development
Volume 7, Issue 25
September 2018
Pages 117-135

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