Building a latent scale of tourism innovation for tourist destinations in Extremadura (Spain) using IRT modelling
DOI:
https://doi.org/10.59072/rper.vi69.688Keywords:
Innovation, STD methodology, difficulty, discrimination, IRT modelAbstract
The DTI (Smart Tourist Destinations) methodology is being implemented in Spain by the State-Owned Company for the Management of Innovation and Tourism Technologies (Segittur) in numerous Spanish tourist destinations. One of the five fundamental pillars of this methodology is innovation. The purpose of this study is to assess the degreeof tourism innovation in all regional tourist destinations in Extremadura and conduct a critical analysis of this degree. To this end, a questionnaire based on the proposed tourism innovation indicators in UNE 178502 standard was designed. This questionnaire consists of 13 innovation indicators and was completed by the 24 Local Action Groups of Extremadura and the 4 main cities of the region between January and March 2023. The findings of this research enable the identification of territories implementing a more effective strategy regarding tourism innovation, as well as highlighting the indicators that best differentiate between destinations and have a more notable impact on significant innovation advancement. The establishment of business incubators is emphasized as a highly beneficial initiative for promoting innovation in tourism.
References
Ammirato, S.; Felicetti, A.M.; Della LAGa, M.; Raso, C. & Cozza, M. (2018): Smart tourism destinations: Can the destination management organizations exploit benefits of the ICTs? Evidences from a multiple case study. Working Conference on Virtual Enterprises, 534, 623-634. https://doi.org/10.1007/978-3-319-99127-6_54
Baker, F.B. & Kim, S-H. (2004): Item Response Theory. Parameter estimation techniques. Marcel Dekker, Inc. New York.
Bichi, A.A. & Talib, R. (2018): Item Response Theory: an introduction to latent trait models to test and item development. International Journal of Education and Research in Education, 7(2), 142-151 http://doi.org/10.11591/ijere.v7i2.12900
Birgit, P.; Peters, M. & Chung-Shing, C. (2018): Needs, drivers and barriers of innovation: The case of an alpine community-model destination. Tourism Management Perspectives, 25, 53-63. https://doi.org/10.1016/j.tmp.2017.11.004
Birnbaum, A. (1968): Some Latent Trait Models and their use in inferring an examinee’s ability”. En Lord, F.M. & Novick, M.R. (eds.): Statistical Theories of Mental Test Scores, 397-479. Addison Wesley. Reading, MA.
Brogaard, L. (2021): Innovative outcomes in public-private innovation partnerships: a systematic review of empirical evidence and current challenges. Public Management Review, 23(1), 135-157. https://doi.org/10.1080/14719037.2019.1668473
Buhalis, D. (2003). eTourism: Information technology for strategic tourism management. Pearson education.
Casais, B.; Fernandes, J. & Sarmento, M. (2020): Tourism innovation through relationship marketing and value co-creation: A study on peer-to-peer online platforms for sharing accommodation. Journal of Hospitality and Tourism Management, 42, 51-57. https://doi.org/10.1016/j.jhtm.2019.11.010
Chen, Q.; Luo, W.; Palardy, G.J.; Glaman, R. & McEnturff, A. (2017): The Efficacy of Common Fit Indices for Enumerating Classes in Growth Mixture Models when nested data structure is ignored: a Monte Carlo Study. SAGE Open, 7(1), https://doi.org/10.1177/2158244017700459
Del Chiappa, G. & Baggio, R. (2015): Knowledge transfer in Smart tourism destinations: Analyzing the effects of network structure. Journal of Destination Marketing & Management, 4(3), 145-150. https://doi.org/10.1016/j.jdmm.2015.02.001
Del Vecchio, P.; Mele, G.; Ndou, V. & Secundo, G. (2018): Open innovation and social Big Data for sustainability: Evidence from the tourism industry. Sustainability, 10(9). https://doi.org/10.3390/su10093215
DeMars, C. (2010): Item Response Theory. Oxford University Press. Cary, NC.
Dempster, A.; Laird, N. & Rubin, D. (1977): Maximum Likelihood from Incomplete Data via the EM algorithm. Journal of the Royal Statistical Society B, 39(1), 1-38
Embretson, S.E. & Reise, S.P. (2013): Item response theory for psychologists. Psychology Press. New Jersey.
Femenia-Serra, F. & Ivars-Baidal, J.A. (2018): Do Smart tourism destinations really work? The case of Benidorm. Asia Pacific Journal of Tourism Research, 26(4), 365-384. https://doi.org/10.1080/10941665.2018.1561478
Fernández, A.; López, J.M.; Moreno, L.; Perles, J.F.; Ramón, A. & Such, M.J. (2017): Innovación y destinos inteligentes: Oportunidad para el know how turístico español. Revista de Economía, 1(894), 137-150.
Fischer, G.H. (1995): The linear logistic test model. En FISCHER, G.I. & MOLENAAR, I.W. (eds.): Rasch models: foundations, recent developments, and applications, 131-156. Springer-Verlag, New York.
Gardiner, S. & Scott, N. (2018): Destination innovation matrix: A framework for new tourism experience and market development. Journal of Destination Marketing & Management, 10, 122-131. https://doi.org/10.1016/j.jdmm.2018.07.002
Gretzel, U., Reino, S., Kopera, S., & Koo, C. (2015). Smart tourism challenges. Journal of Tourism, 16(1), 41-47.
Gusakov, A.A.; Haque, A. & Jogia, A.V. (2020): Mechanisms to support open innovation in Smart tourism destinations: Managerial perspective and implications. Polish Journal of Management Studies, 21(2), 142-161. https://doi.org/10.17512/pjms.2020.21.2.11
Hambleton, R.K. & Swaminathan, H. (1985): Item response theory principles and applications. Kluwer-Nijhoff Publishing. Boston, MA.
Ivars-Baidal, J.A.; Celdrán-Bernabeu, M.A.; Mazón, J.N. & Perles-Ivars, A.F. (2019): Smart destinations and the evolution of ICTs: a new scenario for destination management?. Current Issues in Tourism, 22(13), 1581-1600. https://doi.org/10.1080/13683500.2017.1388771
Johnson, M.S. (2007): Marginal Maximum Likelihood Estimation of Item Response Models in R. Journal of Statistical Software, 20(10), 1-24. https://doi.org/10.18637/jss.v020.i10
Jugend, D.; Fiorini, P.C.; Armellini, F. & Ferrari, A.G. (2020): Public support for innovation: A systematic review of the literatura and implications for open innovation. Technological Forecasting and Social Change, 156. https://doi.org/10.1016/j.techfore.2020.119985
Kofler, I.; Marcher, A.; Volgger, M. & Pechlaner, H. (2018): Th especial characteristics of tourism innovation networks: The case of the regonal innovation system in South Tyrol. Journal of Hospitality and Tourism Management, 37, 68-75. https://doi.org/10.1016/j.jhtm.2018.09.004
López de Ávila, A. & Sánchez, S. (2013): Destinos Turísticos Inteligentes. Harvard Deusto Business Review, 224, 58-66.
Lord, F.M. & Stocking, M.L. (1988): Item Response Theory IRT. En KEEVES, J.P. (ed.): Educational Research, Methodology, and Measurement: An International Handbook, 269-272. Pergamon Press. Elmsford, NY.
Lord, F.M. (1980): Applications of item response theory to practical testing problems. Routledge, Mahwah, NJ.
Marakova, V. & Medvedova, M. (2016): Application of innovactions in tourism destinations. Forum Scientiae Oeconomia, 4(1), 33-43.
Martínez-Pérez, A; Elche, D. & García-Villaverde, P.M. (2019): From diversity of interorganizational relationships to radical innovation in tourism destination: The role of knowledge exploration. Journal of Destination Marketing & Management, 11, 80-88. https://doi.org/10.1016/j.jdmm.2018.12.002
Novick, M.R. (1966): The axioms and principal results of classical test theory. Journal of Mathematical Psychology, 3(1), 1-18 https://doi.org/10.1016/0022-2496(66)90002-2
Ozseker, D.B. (2019): Towards a model of destination innovation process: an integrative review. The Service Industries Journal, 39(3-4), 206-228. https://doi.org/10.1080/02642069.2018.1491970
Polese, F.; Botti, A.; Grimaldi, M.; Monda, A. & Vesci, M. (2018): Social innovation in smart tourism ecosystems: How technology and institutions shape sustainable value co-creation. Sustainability, 10(1), 140-164. https://doi.org/10.3390/su10010140
Rastrollo-Horrillo, M.A. & Rivero, M. (2019): Destination social capital and innovation in SMEs tourism firms: an empirical analysis in an adverse socio-economic context. Journal of Sustainable Tourism, 27(10), 1572-1590. https://doi.org/10.1080/09669582.2019.1648481
Rizopoulos, D. (2006): ltm: an R Package for Latent Variable Modeling and Item Response Theory Analyses. Journal of Statistical Software, 17(5), 1-25 https://doi.org/10.18637/jss.v017.i05
Romero, I. & Tejeda, P. (2020): Tourism intermediaries and innovation in the hotel industry. Current Issues in Tourism, 23(5), 641-653. https://doi.org/10.1080/13683500.2019.1572717
Shafiee, S., Rajabzadeh Ghatari, A., Hasanzadeh, A., & Jahanyan, S. (2021). Smart tourism destinations: a systematic review. Tourism Review, 76(3), 505-528. https://doi.org/10.1108/TR-06-2019-0235
SiLAGat-Signes, E., Calvo-Palomares, R., Roig-Merino, B., & García-Adán, I. (2020). Transition towards a tourist innovation model: The smart tourism destination: Reality or territorial marketing?. Journal of Innovation & Knowledge, 5(2), 96-104. https://doi.org/10.1016/j.jik.2019.06.002
Sigalat-Signes, E.; Calvo, R.; Roig, B. & García, I. (2020). Transition towards a tourism innovation model: The Smart tourism destination: Reality or territorial marketing? Journal of Innovation & Knowledge, 5(2), 96-104. https://doi.org/10.1016/j.jik.2019.06.002
Spearman, C. (1904): The proof and measurement of association between two things. The American Journal of Psychology, 15(1), 72-101.
Trunfio, M. & Campana, S. (2019): Drivers and emerging innovations in knowledge-based destinations: Towards a reserach agenda. Journal of Destination Marketing & Management, 14. https://doi.org/10.1016/j.jdmm.2019.100370
Van der Linden, W.J. & Hambleton, R.K. (1997): Handbook of modern item response theory. Springer. New York, NY.
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