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Benchmarking Representation of Marketing Mix of the Selected Destination Websites of State DMO's of India


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1 Department of Tourism Administration, Dr Babasaheb Ambedkar Marathwada University, Aurangabad (MS), India
     

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With increasing role of Destination websites as an information gateway for potential tourists, researchers are highlighting the importance of website evaluation. In the context of Indian tourism industry, though the area of tourism is well researched, no visible literature is found in the field of e-tourism initiatives of DMOs. Therefore, the present research evaluates the destination websites of state DMOs of India and successfully fills the research gap.

Top destination websites of Indian state DMOs were benchmarked by using content analysis method. For that the comprehensive list of total 105 contents, representing ‘must-have contents of the destination websites’, was developed. Factor loading technique of Benchmarking was applied to finalize the top 5 DMOs which led to the selection of destination websites of Kerala, Rajasthan, Maharashtra, Uttar Pradesh and Gujarat states.

The result of benchmarking exposed that sample websites have similar practices but different in design hence the benchmarking analysis was not able to identify general best website in all aspects. The highest score is achieved by Kerala, and then Uttar Pradesh followed by Gujarat and Maharashtra and the least score was achieved by destination website of Rajasthan state. Further, the areas such as interactivity, website customization, mobile techniques, accessibility, online booking facilities, use of UGC, online chat/24*7 interactive services were commonly neglected. Study revelations were presented in the form of spider chart and prolific suggestions for the improvement of the website design were given along with future scope of research.

Keywords

Website Evaluation, Benchmarking, Content Analysis, Indian Tourism, DMOs.
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  • Albadvi, A., & Saddad, G. (2012). Web Site evaluation of Iranian tourism and hospitality organizations: An e-commerce web site features model. Journal of Hosopitality Marketing and Management, 21(2), 155-183. Retrieved from http://doi.org/10.1080/19368623.2011.584266
  • Baggio, R. (2003). A websites analysis of european tourism organizations. Anatolia, 14(2), 93-106.
  • Bastida, U., & Huan, T. C. (2014). Performance evaluation of tourism websites ’ information quality of four global destination brands: Beijing, Hong Kong, Shanghai, and Taipei. Journal of Business Research, 67(2), 167-170. Retrieved from http://doi.org/10.1016/j.jbusres.2012.10.008
  • Benckendorff, P. J., & Black, N. L. (2000). Destination marketing on the internet: A case study of Australian authorities. The Journal of Tourism Studies, 11(1), 11-21.
  • Buhalis, D. (2000). Marketing the competitive destination of the future. Tourism and Hospitality Management, 21(2000), 97-116.
  • Buhalis, D., & Wagner, R. (2013). E-destinations: Global best practice in tourism technologies and applications. In L. Cantoni & Z. Xiang (Eds.), Information and Communication Technologies in Tourism (pp. 119-130). Venna, Austria: Springer Verlag. http://doi.org/DOI: 10.1007/978-3-642-36309-2_11
  • Celik, P., & Caylak, M. (2015). The Evaluation of Effectivness of Online Marketing Tools Dmo’ S (Destination Management Organization). In Proceedings of the IRES 21st International Conference (pp. 439-440).
  • Chaffey, D., Chadwick, F. E., Johnston, K., & Mayer, R. (2015). Internet Marketing: Strategy, Implementation and Practice (4th ed.). Noida: Pearson India Education Services Pvt Ltd.
  • Das, D., & Utkarsh, G. (2014). Assessing the website effectiveness of top ten tourist attracting nations. Information Technology & Tourism, 14, 151-175. Retrieved from http://doi.org/10.1007/s40558-014-0012-x
  • GoK, DoT. (2017). Awards and Recognitions for Kerala Tourism. Retrieved January 1, 2017, from https://www.keralatourism.org/awards.php
  • Elbe, J., Hallen, L., & Axelsson Bjorn. (2009). The destination-management organisation and the integrative destination-marketing process. International Journal of Tourism Research, 11, 283-296.
  • ETC, & UNWTO. (2003). NTO Marketing Activities Guidelines for Evaluation. Madrid, Spain: UNWTO.
  • MoT, GoI. (2016). India Tourism Statistics at a glance 2015. Ministry of Tourism. New Delhi: Ministry of Tourism, GoI. Retrieved from http://doi.org/10.1787/eag-2013-en
  • Han, J., & Mills, J. E. (2006). Zero acquaintance benchmarking at travel destination websites: What is the first impression that national tourism. International Journal of Tourism Research, 430(8), 405-430. Retrieved from http://doi.org/10.1002/jtr.581
  • Ip, C., Law, R., Lee, H. A., & Wiley, J. (2011). A review of website evaluation studies in the tourism and hospitality fields from 1996 to 2009. International Journal of Tourism Research, 13(2011), 234-265. Retrieved from http://doi.org/10.1002/jtr.815
  • Kaplanidou, K., & Vogt, C. (2006). A structural analysis of destination travel intentions as a function of web site features. Journal of Travel Research, 45(November), 204-216. Retrieved from http://doi.org/10.1177/0047287506291599
  • Kuster, I. (2006). Relational content of travel and tourism websites. Asia Pacific Journal of Tourism Research, 11(2), 119-133. Retrieved from http://doi.org/10.1080/10941660600727467
  • Law, R., Qi, S., & Buhalis, D. (2010). Progress in tourism management: A review of website evaluation in tourism research. Tourism Management, 31(3), 297-313. Retrieved from http://doi.org/10.1016/j.tourman.2009.11.007
  • Li, X., & Wang, Y. (2010). Destination marketing organisations. International Journal of Tourism Research, 12, 536-549. Retrieved from http://doi.org/10.1002/jtr.772
  • Lim, Y., Chung, Y., & Weaver, P. A. (2012). The impact of social media on destination branding: Consumer-generated videos versus destination marketer-generated videos. Journal of Vacation Marketing, 18(3), 197-206. Retrieved from http://doi.org/10.1177/1356766712449366
  • Luna-nevarez, C., & Hyman, M. R. (2012). Common practices in destination website design. Journal of Destination Marketing & Management, 1.2-2(2012), 94-106.
  • MoT, GoI. (n.d.). It guidelines for central financial assistance. New Delhi.
  • MoT, GoI. (2013). Study to Evaluate the Plan Scheme of “Computerization and IT”. New Delhi.
  • Morrison, A. (2013). Marketing and managing tourism destinaitons. New York: Routledge.
  • Neuendorf, K. (2002). The Content analysis Guidebook. New Delhi: Sage Publications.
  • Nouri, B. A., & Soltani, M. (2015). Evaluating the effect of tourism marketing mix on buying holiday homes in Cyprus. International Journal of Business Administration, 6(5), 63-74. Retrieved from http://doi.org/10.5430/ijba.v6n5p63
  • Park, Y., & Gretzel, U. (2007). Success factors for destination marketing website: A qualitative Meta - Analysis. Journal of Travel Research, 46(1), 46-63.
  • Pike, S. (2004). Destination marketing organisations. London: Elsevier Ltd.
  • Pomering, A., Johnson, L., & Noble, G. (2009). Sustainable tourism marketing: What should be in the mix ? In Australian and New Zealand Marketing Academy Conference (pp. 1–8). Melbourne, Australia: Australian & New Zealand Marketing Academy. Research. Retrieved from http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3327&context=commpapers
  • Prasad, B. D. (2008). Content analysis: A method in social science research. In D. Lal Das & V. Bhaskaran (Eds.), Research methods for Social Work (pp. 173-193). New Delhi: Rawat.
  • Qi, S., Law, R., & Buhalis, D. (2008). Usability of Chinese destination management organization websites. Journal of Travel & Tourism Marketing, 25(2), 182-198. Retrieved from http://doi.org/10.1080/10548400802402933
  • Smith, P., & Ze, Z. (2011). Marketing comunications: Integrating offline with social media (5th ed.). UK: Kogna Page Ldt.
  • Stemler, S. (2001). An overview of content analysis. Practical Assessment, Research & Evaluation, 7(17), 1-10. Retrieved from http://pareonline.net/getvn.asp?v=7&n=17
  • Stepchenkova, S., Tang, L., Jang, S., Kirilenko, A. P., & Morrison, A. (2010). Benchmarking CVB website performance: Spatial and structural patterns. Tourism Management, 31, 611-620. Retrieved from http://doi.org/10.1016/j.tourman.2009.06.015
  • UNWTO. (2008). Handbook on e-marketing for tourism destinations. Spain: UNWTO.
  • UNWTO. (2013). Recommendations on Accessible Tourism. Spain. Retrieved from http://www.accessibletourism.org/resources/accesibilityen_2013_unwto.pdf
  • UNWTO. (2016). UNWTO Tourism Highlights. Spain. Retrieved from http://www.e-unwto.org/doi/book/10.18111/9789284418145
  • UNWTO, & GTERC. (2014). Annual Report on Asia Tourism Trends. Spain. Retrieved from http://www.e-unwto.org/doi/pdf/10.18111/9789284416301
  • Wilson., R. (2008). Planning your internet marketing strategy. New York: John Wiley & Sons Inc.
  • WTTC. (2014). Tourism Action Plan: Unleashing India’s Potential. New Delhi. Retrieved from http://www.wttcii.org/pdf/India_Tourism_Plan.pdf

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  • Benchmarking Representation of Marketing Mix of the Selected Destination Websites of State DMO's of India

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Authors

Harshada Satghare
Department of Tourism Administration, Dr Babasaheb Ambedkar Marathwada University, Aurangabad (MS), India
Madhuri Sawant
Department of Tourism Administration, Dr Babasaheb Ambedkar Marathwada University, Aurangabad (MS), India

Abstract


With increasing role of Destination websites as an information gateway for potential tourists, researchers are highlighting the importance of website evaluation. In the context of Indian tourism industry, though the area of tourism is well researched, no visible literature is found in the field of e-tourism initiatives of DMOs. Therefore, the present research evaluates the destination websites of state DMOs of India and successfully fills the research gap.

Top destination websites of Indian state DMOs were benchmarked by using content analysis method. For that the comprehensive list of total 105 contents, representing ‘must-have contents of the destination websites’, was developed. Factor loading technique of Benchmarking was applied to finalize the top 5 DMOs which led to the selection of destination websites of Kerala, Rajasthan, Maharashtra, Uttar Pradesh and Gujarat states.

The result of benchmarking exposed that sample websites have similar practices but different in design hence the benchmarking analysis was not able to identify general best website in all aspects. The highest score is achieved by Kerala, and then Uttar Pradesh followed by Gujarat and Maharashtra and the least score was achieved by destination website of Rajasthan state. Further, the areas such as interactivity, website customization, mobile techniques, accessibility, online booking facilities, use of UGC, online chat/24*7 interactive services were commonly neglected. Study revelations were presented in the form of spider chart and prolific suggestions for the improvement of the website design were given along with future scope of research.

Keywords


Website Evaluation, Benchmarking, Content Analysis, Indian Tourism, DMOs.

References