An approach to measuring website quality in the rural tourism industry based on atanassov intuitionistic fuzzy sets

Simple item page
dc.contributor.authorStanujkic, Dragisa
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorTamošaitienė, Jolanta
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2015-12-07
dc.date.available2015-12-07
dc.date.defense2015-12-01
dc.description.abstractAttracting new customers can be identified as one of the key roles websites play in the tourism and hotels industry that can be of special importance for less known tourist destinations, especially for rural tourism. However, some of current researches indicate that many first-time visitors spend a very short time on a particular webpage when accessing a particular website. Therefore, if we presume that the acquisition of new customers is one of the features of a website, such a website should be designed to obtain the attention of the first-time visitors and to keep them.Various elements of websites essential for obtaining the attention of website visitors and crucial for their satisfaction have been identified in numerous studies. As opposed to these studies, this paper focuses on designing a multiple criteria model that could realistically determine the quality of the website from the first-time visitors’ point of view. In order to form a realistic multiple criteria decision making model, the proposed approach is based on the use of a smaller number of criteria that are evaluated using Atanassov fuzzy sets. Also, in order to create a model which as simple as possible, based on Atanassov fuzzy sets, this approach uses the Singleton Intuitionistic Fuzzy Numbers.The use of the proposed approach for assessing the quality of some websites which promote tourist potentials of the Old Mountain indicates the applicability and efficiency of the proposed approach.Finally, with the proposed, or with some other, set of criteria, while retaining a relatively small number of criteria, the proposed approach can be successfully applied to the tourism and hotels industry, as well as to other areas, with the aim of determining the quality of the websites from the first-time visitors’ point of view.en
dc.formattext
dc.format.extent16 s.cs
dc.identifier.doi10.15240/tul/001/2015-4-013
dc.identifier.eissn2336-5604
dc.identifier.issn12123609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/13444
dc.language.isoen
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisher.abbreviationTUL
dc.relation.isbasedonAKINCILAR, A., DAGDEVIREN, M. A hybrid multi-criteria decision making model to evaluate hotel websites. International Journal of Hospitality Management. 2014, Vol. 36, pp. 263-271. ISSN 0278-4319. .
dc.relation.isbasedonALEXANDER, J.E., TATE, M.A. Web wisdom: How to evaluate and create information quality on the Web. Mahwah, NJ: Lawrence Erlbaum Associates. 1999. ISBN 0805831231.
dc.relation.isbasedonANDERSON, E., BAKIR, A., WICKENS, E. Rural Tourism Development in Connemara, Ireland. Tourism Planning & Development. 2015, Vol. 12, No. 1, pp. 73-86. ISSN 2156-8316. DOI: 10.1080/21568316.2014.965844.
dc.relation.isbasedonANDREOPOULOU, Z., et al. Internet marketing for sustainable development and rural tourism. International Journal of Business Information Systems. 2014, Vol. 16, No. 4, pp. 446-461. ISSN 1746-0980. DOI: 10.1504/IJBIS.2014.063931.
dc.relation.isbasedonATANASSOV, K.T. Intuitionistic fuzzy sets. Fuzzy sets and Systems. 1986, Vol. 20, No. 1, pp. 87-96. ISSN 0165-0114. DOI: .
dc.relation.isbasedonATANASSOV, K.T. New operations defined over the intuitionistic fuzzy sets. Fuzzy sets and Systems. 1994. Vol. 61, No. 2, pp. 137-142. ISSN 0165-0114. DOI: .
dc.relation.isbasedonBARKE, M. Rural tourism in Spain. International Journal of Tourism Research. 2004, Vol. 6, No. 3, pp. 137-149. ISSN 1522-1970. DOI: 10.1002/jtr.480.
dc.relation.isbasedonBECK, S.E. The Good, The Bad & The Ugly: or, Why It’s a Good Idea to Evaluate Web Sources [online]. New Mexico State University Library, 1999 [cit. 2014-11-29]. 5 p. (PDF). Available from: http://www.ucolick.org/~max/Astro18-2014/GoodBadUgly.pdf.
dc.relation.isbasedonBEL, F., et al. Domestic demand for tourism in rural areas: Insights from summer stays in three French regions. Tourism Management. 2015, Vol. 46, pp. 562-570. ISSN 0261-5177. DOI: .
dc.relation.isbasedonCalifornia State University at Chico. Evaluating Information – Applying the CRAAP Test [online]. California State University at Chico, 2010. [cit. 2014-11-27]. 1 p. (PDF). Available from: http://www.csuchico.edu/lins/handouts/eval_websites.pdf.
dc.relation.isbasedonCHEN, S.M., TAN, J.M. Handling multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy sets and systems. 1994, Vol. 67, No. 2, pp. 163-172. ISSN 0165-0114. .
dc.relation.isbasedonCHEN, T.-Y. Data construction process and qualiflex-based method for multiple-criteria group decision making with interval-valued intuitionistic fuzzy sets. International Journal of Information Technology & Decision Making. 2013, Vol. 12, No. 3, pp. 425-467. ISSN 0219-6220. DOI: 10.1142/S021962201350017X.
dc.relation.isbasedonCHEN, T.-Y. The Inclusion-Based LINMAP Method for Multiple Criteria Decision Analysis within an Interval-Valued Atanassov's Intuitionistic Fuzzy Environment. International Journal of Information Technology & Decision Making. 2014, Vol. 13, No. 6, pp. 1325-1360. ISSN 0219-6220. DOI: 10.1142/S0219622014500722.
dc.relation.isbasedonCHUNG, T., LAW, R. Developing a Performance Indicator for Hotel Websites. International Journal of Hospitality Management. 2003, Vol. 22, No. 1, pp. 343-358. ISSN 0278-4319. .
dc.relation.isbasedonDAHL, C. Undergraduate research in the public domain: The evaluation of non-academic sources online. Reference Services Review. 2009, Vol. 37, No. 2, pp. 155-163. ISSN 0090-7324. .
dc.relation.isbasedonDEVESA, M., LAGUNA, M., PALACIOS, A. The role of motivation in visitor satisfaction: Empirical evidence in rural tourism. Tourism Management. 2010, Vol. 31, No. 4, pp. 547-552. ISSN 0261-5177. .
dc.relation.isbasedonEFTEKHARI, A.R., et al. Application of integration multi-criteria decision making method and GIS in identification of rural regions with ecotourism potential case study: river valley tourism in Tehran Providence. Rural Research. 2013, Vol. 4, No. 3, pp. Pe641–Pe660. ISSN 7373-2008.
dc.relation.isbasedonFU, H.P., et al. Using fuzzy AHP and VIKOR for benchmarking analysis in the hotel industry. The Service Industries Journal. 2011, Vol. 31, No. 14, pp. 2373-2389. ISSN 0264-2069. DOI: 10.1080/02642069.2010.503874.
dc.relation.isbasedonHAILE, T. What You Think You Know About the Web Is Wrong [online]. Time Inc. Network, 2014 [cit. 2014-08-06]. Available from: http://time.com/12933/what-you-think-you-know-about-the-web-is-wrong/.
dc.relation.isbasedonHAJIAGHA, S.H.R., et al. An intuitionistic fuzzy data envelopment analysis for efficiency evaluation under uncertainty: case of a finance and credit institution. E+M Ekonomie a Management. 2013. Vol. 16, No. 1, pp. 128-137. ISSN 1212-3609.
dc.relation.isbasedonHAN, J.H., MILLS, J.E. Zero acquaintance benchmarking at travel destination websites: what is the first impression that national tourism organizations try to make? International Journal of Tourism Research. 2006. Vol. 8, No. 6, pp. 405-430. ISSN 1522-1970. DOI: 10.1002/jtr.581.
dc.relation.isbasedonHASHEMKHANI ZOLFANI, S., et al. Sustainable tourism: a comprehensive literature review on frameworks and applications. Economic Research-Ekonomska Istraživanja. 2015, Vol. 28, No. 1, pp. 1-30. ISSN 1331-677X. DOI: 10.1080/1331677X.2014.995895.
dc.relation.isbasedonHERRERO, A., SAN MARTIN, H. Developing and testing a global model to explain the adoption of websites by users in rural tourism accommodations. International Journal of Hospitality Management. 2012, Vol. 31, No. 4, pp. 1178-1186. ISSN 0278-4319. DOI: 10.1016/j.ijhm.2012.02.005.
dc.relation.isbasedonHWANG, C.L., LIN, M.J. Group Decision Making Under Multiple Criteria: Methods and Applications. Berlin: Springer-Verlag, 1987. ISBN 978-3-642-61580-1.
dc.relation.isbasedonHWANG, C.L., YOON, K. Multiple attribute decision making: Methods and applications. Berlin: Springer Verlag. 1981. ISBN 978-3-642-48318-9.
dc.relation.isbasedonJOVANOVIĆ, S., MILIĆ, V.J., KRSTIĆ, B. Homogeneity analysis of south-eastern European countries according to tourism competitiveness performances. Economic Research-Ekonomska Istraživanja. 2014, Vol. 27, No. 1, pp. 207-220. ISSN 1331-677X. DOI: 10.1080/1331677X.2014.952113.
dc.relation.isbasedonKAPOUN, J. Teaching undergrads web evaluation - a guide for library instruction. College and Research Libraries News. 1998, Vol. 59, No. 7, pp. 522-523. 0099-0086.
dc.relation.isbasedonKERSULIENE, V., ZAVADSKAS, E.K., TURSKIS, Z. Selection of rational dispute resolution method by applying new step - wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management. 2010, Vol. 11, No. 2, pp. 243-258. ISSN 1611-1699. DOI: 10.3846/jbem.2010.12
dc.relation.isbasedonKOSAREVA, N., KRYLOVAS, A. Comparison of accuracy in ranking alternatives performing generalized fuzzy average functions. Technological and Economic Development of Economy. 2013. Vol. 19, No. 1, pp. 162-187. ISSN 2029-4913. DOI: 10.3846/20294913.2012.763072.
dc.relation.isbasedonLAW, R. A fuzzy multiple criteria decision-making model for evaluating travel websites. Asia Pacific Journal of Tourism Research. 2007, Vol. 12, No. 2, pp. 147-159. ISSN 1094-1665. DOI: 10.1080/10941660701243372.
dc.relation.isbasedonLAW, R. Fuzzy evaluation of hotel websites. In: Advanced Data Mining and Applications. Berlin, Heidelberg: Springer, 2005. pp. 507-514. ISBN 978-3-540-31877-4. DOI: 10.1007/11527503_61.
dc.relation.isbasedonLAW, R., CHEUNG, C. Weighing of hotel website dimensions and attributes. In: FREW, A.J. (Ed.). Information and communication technologies in tourism. New York: Springer Wien, 2005. pp. 327-334. ISBN 978-3-211-24148-6. DOI: 10.1007/3-211-27283-6_32.
dc.relation.isbasedonLAW, R., HSU, C.H. Importance of hotel website dimensions and attributes: perceptions of online browsers and online purchasers. Journal of Hospitality & Tourism Research. 2006, Vol. 30, No. 3, pp. 295-312. ISSN 1096-3480. DOI: 10.1177/1096348006287161.
dc.relation.isbasedonLAW, R., QI, S., BUHALIS, D. Progress in tourism management: A review of website evaluation in tourism research. Tourism management. 2010, Vol. 31, No. 3, pp. 297-313. ISSN 0261-5177. DOI: 10.1016/j.tourman.2009.11.007.
dc.relation.isbasedonLIU, P., YU, X. Density aggregation operators based on the intuitionistic trapezoidal fuzzy numbers for multiple attribute decision making. Technological and Economic Development of Economy. 2013. Vol. 19, Iss: Supplement 1, pp. S454-S470. ISSN 2029-4913. DOI: 10.3846/20294913.2013.881436.
dc.relation.isbasedonLYDIA, M., OLSON LIBRARY. Evaluating internet sources: A library resource guide [online]. Northern Michigan University, 2009 [cit. 2014-11-27]. Available from http://library.nmu.edu/guides/userguides/webeval.htm.
dc.relation.isbasedonMA, J., FAN, Z.P., HUANG, L.H. A subjective and objective integrated approach to determine attribute weights. European Journal of Operational Research. 1999, Vol. 112, No. 2, pp. 397-404. ISSN 0377-2217. DOI: 10.1016/S0377-2217(98)00141-6.
dc.relation.isbasedonMERWE, R., BEKKER, J. A framework and methodology for evaluating e-commerce web sites. Internet Research: Electronic Networking Applications and Policy. 2003, Vol. 13, No. 5, pp. 330-341. ISSN 1066-2243. DOI: 10.1108/10662240310501612.
dc.relation.isbasedonMURPHY, J., et al. Hotel Management and Marketing on the Internet An Analysis of Sites and Features. Cornell Hotel and Restaurant Administration Quarterly. 1996, Vol. 37, No. 3, pp. 70-82. ISSN 1938-9655. DOI: 10.1016/0010-8804(96)86817-0.
dc.relation.isbasedonPARK, D.B., YOON, Y.S. Developing sustainable rural tourism evaluation indicators. International Journal of Tourism Research. 2011, Vol. 13, No. 5, pp. 401-415. ISSN 1522-1970. DOI: 10.1002/jtr.804.
dc.relation.isbasedonRANDELLI, F., ROMEI, P., TORTORA, M. An evolutionary approach to the study of rural tourism: The case of Tuscany. Land Use Policy. 2014, Vol. 38, pp. 276-281. ISSN 0264-8377. DOI: 10.1016/j.landusepol.2013.11.009.
dc.relation.isbasedonRID, W., EZEUDUJI, I.O., PROBSTL-HAIDER, U. Segmentation by motivation for rural tourism activities in the Gambia. Tourism Management. 2014, Vol. 40, pp. 102-116. ISSN 0261-5177. DOI: 10.1016/j.tourman.2013.05.006.
dc.relation.isbasedonSAATY, T.L. A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology. 1977, Vol. 15, Iss. 3, pp. 234-281. ISSN 0022-2496. DOI: 10.1016/0022-2496(77)90033-5.
dc.relation.isbasedonSAATY, T.L. The Analytical Hierarchy Process: Planning, Priority Setting, Resource Allocation. New York: McGraw-Hill, 1980. pp. 287. ISBN 978-0070543713.
dc.relation.isbasedonSAN MARTIN, H., HERRERO, A. Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework. Tourism Management. 2012, Vol. 33, Iss. 2, pp. 341-350. ISSN 0261-5177. DOI: 10.1016/j.tourman.2011.04.003.
dc.relation.isbasedonVASSILIADIS, C.A., FOTIADIS, A., PIPER, L.A. Analysis of rural tourism websites: the case of Central Macedonia. Tourismos: An international multidisciplinary journal of tourism. 2013, Vol. 8, Iss. 1, pp. 247-263. ISSN 1790-8418.
dc.relation.isbasedonVisit and meet Stara planina [online]. 2014 [cit. 2014-11-24]. Available from: http://www.staraplanina.eu.
dc.relation.isbasedonVUJKO, A., GAJIC, T. Opportunities for tourism development and cooperation in the region by improving the quality of tourism services – the ‘Danube Cycle Route’ case study. Economic Research-Ekonomska Istraživanja. 2014, Vol. 27, Iss. 1, pp. 847-860. ISSN 1331-677X. DOI: 10.1080/1331677X.2014.975517.
dc.relation.isbasedonWAN, S., DONG, J. Multi-Attribute Group Decision Making with Trapezoidal Intuitionistic Fuzzy Numbers and Application to Stock Selection. Informatica. 2014, Vol. 25, No. 4, pp. 663-697. ISSN 0868-4952. DOI: 10.15388/Informatica.2014.34.
dc.relation.isbasedonYU, D. Intuitionistic fuzzy prioritized operators and their application in multi-criteria group decision making. Technological and Economic Development of Economy. 2013, Vol. 19, Iss. 1, pp. 1-21. ISSN 2029-4913. DOI: 10.3846/20294913.2012.762951.
dc.relation.isbasedonZADEH, L.A. Fuzzy sets. Information and control. 1965, Vol. 8, Iss. 3, pp. 338-353. ISSN 1462-3889. DOI: 10.1016/S0019-9958(65)90241-X.
dc.relation.isbasedonZAFIROPOULOS, C., VRANA, V. A framework for the evaluation of hotel websites: The case of Greece. Information Technology & Tourism. 2006, Vol. 8, pp. 239-254. ISSN 1098-3058. DOI: 10.3727/109830506778690812.
dc.relation.isbasedonZAVADSKAS, E.K., et al. The Interval-Valued Intuitionistic Fuzzy MULTIMOORA Method for Group Decision Making in Engineering. Mathematical Problems in Engineering. 2015, Vol. 2015, Article ID 560690, 13 pp. ISSN 1563-5147. DOI: 10.1155/2015/560690.
dc.relation.isbasedonZENG, S., et al. A Projection method for multiple attribute group decision making with intuitionistic fuzzy information. Informatica. 2013, Vol. 24, Iss. 3, pp. 485-503. ISSN 0868-4952.
dc.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjectvirtual organizationen
dc.subjectglobalizationen
dc.subjectpersonnel managementen
dc.subjectinformation and communication technologiesen
dc.subject.classificationD81
dc.subject.classificationC61
dc.subject.classificationC44
dc.titleAn approach to measuring website quality in the rural tourism industry based on atanassov intuitionistic fuzzy setsen
dc.typeArticleen
local.accessopen
local.citation.epage199
local.citation.spage184
local.facultyFaculty of Economics
local.fulltextyes
local.relation.abbreviationE&Men
local.relation.abbreviationE+Mcs
local.relation.issue4
local.relation.volume18
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Stránky z EM_4_2015_13.pdf
Size:
1.11 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Číslo 4