APPLICATION OF THE PPM MODEL IN ASSESSING THE IMPACT OF ECONOMIC FACTORS ON THE SELECTION OF AN AGRO-TOURISM DESTINATION AFTER COVID-19

Authors

  • Tamara Gajić Geographical Institute “Jovan Cvijić” SASA, Belgrade 11000, Serbia. South Ural State University, Institute of Sports, Tourism and Service, Chelyabinsk, Russia. Faculty of Hotel Management and Tourism University of Kragujevac, Vojvođanska 5a, 36210 Vrnjačka Banja, Serbia https://orcid.org/0000-0003-3016-8368
  • Dragan Vukolić University of business studies, Faculty of Tourism and Hospitality management Banja Luka Bosnia and Herzegovina; PhD candidate University of Kragujevac, Faculty of Hotel Management and Tourism in Vrnjačka Banja Serbia https://orcid.org/0000-0002-6364-9849
  • Filip Đoković College of Organizationl Studies - EDUKA, 11000 Belgrade, Serbia https://orcid.org/0000-0002-2342-9358
  • Marija Jakovljević Belgrade Academy of Business and Art Vocational Studies, department of business and IT studies, department of Legal and Sociological Sciences, Kraljice Marije 73, 11000 Beograd
  • Jovan Bugarčić University of Kragujevac, Faculty of Hotel Management and Tourism, Vrnjačka Banja, Serbia https://orcid.org/0000-0002-6104-2939
  • Ivana Jošanov Vrgović , College of Organizationl Studies - EDUKA, Belgrade, Serbia https://orcid.org/0000-0003-3010-3206
  • Slobodan Glišić Academy of Professional Studies South Serbia, Leksovac https://orcid.org/0000-0002-0772-0831

DOI:

https://doi.org/10.59267/ekoPolj2303755G

Keywords:

Agrotourism, PPM model, economic factors, Serbia

Abstract

The tourism industry is one of the industries most affected by the Covid-19 pandemic. Understanding the motivation for travel is essential for the tourism development of the destination and long-term business. This study used the pushpull-mooring model (PPM model) to explain the factors that influence the decision of tourists to visit agritourism destinations in Serbia after the Covid-19 pandemic, with an emphasis on the economic factors of travel. The results obtained by multiple regression analysis indicate a significant effect of economic, as well as other factors within the model, on the decision of tourists. The significance of the research is reflected in the creation of a realistic picture of the influence of factors on tourists’ decisions, and therefore on the creation of future management steps in the management of an agro-tourism destination.

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References

Arbulú, I., Razumova, M., Rey-Maquieira, J., & Sastre, F. (2021). Measuring risks and vulnerability of tourism to the COVID-19 crisis in the context of extreme uncertainty: The case of the Balearic Islands. Tourism Management Perspectives, 39, 100857. https://doi.org/10.1016/j.tmp.2021.100857

Baloglu, S., & McCleary, K. W. (1999). A model of destination image formation. Annals of tourism research, 26(4), 868-897. https://doi.org/10.1016/S0160-7383(99)00030-4

Baloglu, S., & Uysal, M. (1996). Market segments of push and pull motivations: A canonical correlation approach. International journal of contemporary Hospitality Management, 8(3), 32-38. https://doi.org/10.1108/09596119610115989

Bansal, H. S., Taylor, S. F., & St. James, Y. (2005). “Migrating” to new service providers: Toward a unifying framework of consumers’ switching behaviors. Journal of the Academy of Marketing Science, 33(1), 96-115. https://doi.org/10.1177/0092070304267928

Bartlett, M. S. (1954). A note on the multiplying factors for various χ 2 approximations. Journal of the Royal Statistical Society, Series B (Methodological), 16, 296-298.

Basnyat, S., & Sharma, S. (2021). Effects of COVID-19 crisis on small and mediumsized hotel operators: insights from Nepal. Anatolia, 32(1), 106-120. https://doi.org/10.1080/13032917.2021.1879184

Bugarčić, J., Cvijanović, D., Vukolić, D., Zrnić, M., Đoković, F., & Gajić, T. (2023). Gastronomy as an effective tool for rural prosperity – evidence from rural settlements in Republic of Serbia. Еconomics of Agriculture, 70(1), 169-183. doi:10.59267/ekoPolj2301169B

Cheng, H. H., & Huang, S. W. (2013). Exploring antecedents and consequence of online group-buying intention: An extended perspective on theory of planned behavior. International Journal of Information Management, 33(1),185-198. https://doi.org/10.1016/j.ijinfomgt.2012.09.003

Chon, K. S. (1989). Understanding recreational traveler’s motivation, attitude and satisfaction. The tourist review, 44(1), 3-7. https://doi.org/10.1108/eb058009

Crompton, J. (1992). Structure of vacation destination choice sets. Annals of tourism research, 19(3), 420-434. https://doi.org/10.1016/0160-7383(92)90128-C

Ewing, G., & Haider, W. (1999). Estimating what affects tourist destination choice. Consumer behavior in travel and tourism, 35-58.

Gajić, T., Đoković, F., Blešić, I., Petrović, M. D., Radovanović, M. M., Vukolić, D., ... & Mićović, A. (2023). Pandemic boosts prospects for recovery of rural tourism in Serbia. Land, 12(3), 624. https://doi.org/10.3390/land12030624

Gajić, T., Vukolić, D., Petrović, M. D., Blešić, I., Zrnić, M., Cvijanović, D., ... & Anđelković, Ž. (2022). Risks in the Role of Co-Creating the Future of Tourism in “Stigmatized” Destinations. Sustainability, 14(23), 15530. https://doi.org/10.3390/su142315530

George, R., & Booyens, I. (2014, December). Township tourism demand: Tourists’ perceptions of safety and security. In Urban Forum (Vol. 25, pp. 449-467). Springer Netherlands. https://doi.org/10.1007/s12132-014-9228-2

Gössling, S., Scott, D., & Hall, C. M. (2020). Pandemics, tourism and global change: a rapid assessment of COVID-19. Journal of sustainable tourism, 29(1), 1-20. https://doi.org/10.1080/09669582.2020.1758708

Ha, J., & Jang, S. S. (2013). Variety seeking in restaurant choice and its drivers. International Journal of Hospitality Management, 32, 155-168. https://doi.org/10.1016/j.ijhm.2012.05.007

Hamilton, J. M., & Lau, M. A. (2006). The role of climate information in tourist destination choice decision making. In Tourism and global environmental change (pp. 243-264). Routledge.

Heberle, R. Social Mobility. pp. 215–225. Available online: https://www.jstor.org/stable/2766092 (accessed on 21 May 2023).

Hou, A. C., & Shiau, W. L. (2020). Understanding Facebook to Instagram migration: a push-pull migration model perspective. Information Technology & People, 33(1), 272-295. https://doi.org/10.1108/ITP-06-2017-0198

Hou, A. C., Chern, C. C., Chen, H. G., & Chen, Y. C. (2011). ‘Migrating to a new virtual world’: Exploring MMORPG switching through human migration theory. Computers in Human Behavior, 27(5), 1892-1903. https://doi.org/10.1016/j.chb.2011.04.013

Hsieh, J. K., Hsieh, Y. C., Chiu, H. C., & Feng, Y. C. (2012). Post-adoption switching behavior for online service substitutes: A perspective of the push–pull–mooring framework. Computers in Human Behavior, 28(5), 1912-1920. https://doi.org/10.1016/j.chb.2012.05.010

Huybers, T. (2003). Modelling short-break holiday destination choices. Tourism Economics, 9(4), 389-405. https://doi.org/10.5367/000000003322662989

Jung, H. S., & Yoon, H. H. (2012). Why do satisfied customers switch? Focus on the restaurant patron variety-seeking orientation and purchase decision involvement. International Journal of Hospitality Management, 31(3), 875-884. https://doi.org/10.1016/j.ijhm.2011.10.006

Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39 (1), 31-36.

Kibby, M. (2020). Instafamous: Social media influencers and Australian beaches. Writing the Australian Beach: Local Site, Global Idea, 57-70. https://doi.org/10.1007/978-3-030-35264-6_4

Kim, J. H., & Kim, C. (2010). E‐service quality perceptions: a cross‐cultural comparison of American and Korean consumers. Journal of Research in interactive Marketing. https://doi.org/10.1108/17505931011070604

Kim, S. S., Lee, C. K., & Klenosky, D. B. (2003). The influence of push and pull factors at Korean national parks. Tourism management, 24(2), 169-180. https://doi.org/10.1108/17505931011070604

Klenosky, D. B. (2002). The “pull” of tourism destinations: A meansend investigation. Journal of travel research, 40(4), 396-403. https://doi.org/10.1177/004728750204000405

Lee, E. S. (1966). A theory of migration. Demography, 3, 47-57.

Leung, D., Law, R., Van Hoof, H., & Buhalis, D. (2013). Social media in tourism and hospitality: A literature review. Journal of travel & tourism marketing, 30(1-2), 3-22. https://doi.org/10.1080/10548408.2013.750919

MacCannell, D. (2013). The tourist: A new theory of the leisure class. Univ of California Press.

Moon, B. (1995). Paradigms in migration research: exploring’moorings’ as a schema. Progress in human geography, 19(4), 504-524. https://doi.org/10.1177/030913259501900404

Neuhofer, B., Buhalis, D., & Ladkin, A. (2012). Conceptualising technology enhanced destination experiences. Journal of Destination Marketing & Management, 1(1-2), 36-46. https://doi.org/10.1016/j.jdmm.2012.08.001

Pantić, N. (2016, June). Impact of tourism on macroeconomic stability and economic development of the Republic of Serbia. In Tourism International Scientific Conference Vrnjačka Banja-TISC (Vol. 1, No. 2, pp. 153-168).

Pantić, N., & Milojević, I. (2019). Investments and employment in tourism in the Republic of Serbia. Hotel and Tourism Management, 7(1), 95-104. doi:10.5937/menhottur1901095P

Park, J. Y., & Jang, S. S. (2014). Why do customers switch? More satiated or less satisfied. International Journal of Hospitality Management, 37, 159-170. https://doi.org/10.1016/j.ijhm.2013.11.007

Popescu, G., & Andrei, J. (2011). From industrial holdings to subsistence farms in Romanian agriculture. Analyzing the subsistence components of CAP. Agricultural Economics, 57(11), 555-564.

Prayag, G., Gannon, M. J., Muskat, B., & Taheri, B. (2020). A serious leisure perspective of culinary tourism co-creation: The influence of prior knowledge, physical environment and service quality. International Journal of Contemporary Hospitality Management, 32(7), 2453-2472. https://doi.org/10.1108/IJCHM-10-2019-0897

Pyo, S., Mihalik, B. J., & Uysal, M. (1989). Attraction attributes and motivations: A canonical correlation analysis. Annals of Tourism Research, 16(2), 277-282.

Seo, S., Kim, K., & Jang, J. (2018). Uncertainty avoidance as a moderator for influences on foreign resident dining out behaviors. International Journal of Contemporary Hospitality Management, 30(2), 900-918. https://doi.org/10.1108/IJCHM-03-2016-0152

So, K. K. F., Kim, H., & Oh, H. (2021). What makes Airbnb experiences enjoyable? The effects of environmental stimuli on perceived enjoyment and repurchase intention. Journal of Travel Research, 60(5), 1018-1038. https://doi.org/10.1177/0047287520921241

Socoliuc, M., Grosu, V., Hlaciuc, E., & Stanciu, S. (2018). Analysis of social responsibility and reporting methods of Romanian companies in the countries of the European Union. Sustainability, 10(12), 4662.

Stoica, M., Antohi, V. M., Alexe, P., Ivan, A. S., Stanciu, S., Stoica, D., ... & StuparuCretu, M. (2022). New strategies for the total/partial replacement of conventional sodium nitrite in meat products: A review. Food and Bioprocess Technology, 1-25.

Sun, J. (2014). How risky are services? An empirical investigation on the antecedents and consequences of perceived risk for hotel service. International Journal of Hospitality Management, 37, 171-179. https://doi.org/10.1016/j.ijhm.2013.11.008

Stanciu, S., Virlanuta, F. O., Dinu, V., Zungan, D., & Antohi, V. M. (2019). The perception of the social economy by agricultural producers in the north-east development region of Romania. Transformations in Business & Economics, 18.

Twining Ward, L., & McComb, J. F. (2020). COVID-19 and Tourism in South Asia. http://hdl.handle.net/10986/34050

UNWTO. Global Economy Could Lose Over $4 Trillion Due To COVID-19 Impact on Tourism. Available online: https://www.unwto.org/news/global-economy-couldlose-over-4-trillion-due-to-covid-19-impact-on-tourism (accessed on 15 May 2023).

UNWTO. Global Economy Could Lose Over $4 Trillion Due To COVID-19 Impact on Tourism. Available online: https://www.unwto.org/news/global-economycould-lose-over-4-trillion-due-to-covid-19-impact-on-tourism (accessed on 17 May 2023).

Venkatesh, V., & Brown, S. A. (2001). A longitudinal investigation of personal computers in homes: Adoption determinants and emerging challenges. MIS quarterly, 71-102.

Vukolić, D., Gajić, T., & Penić, M. (2022). The effect of social networks on the development of gastronomy–the way forward to the development of gastronomy tourism in Serbia. Journal of Tourism Futures, (ahead-of-print).

Vukolić, D., Gajić, T., Petrović, M. D., Bugarčić, J., Spasojević, A., Veljović, S., ... & Petrović, T. (2023). Development of the Concept of Sustainable Agro-Tourism Destinations—Exploring the Motivations of Serbian GastroTourists. Sustainability, 15(3), 2839. https://doi.org/10.3390/su15032839

Xu, Y. C., Yang, Y., Cheng, Z., & Lim, J. (2014). Retaining and attracting users in social networking services: An empirical investigation of cyber migration. The Journal of Strategic Information Systems, 23(3), 239-253. https://doi.org/10.1016/j.jsis.2014.03.002

Yoon, Y., & Uysal, M. (2005). An examination of the effects of motivation and satisfaction on destination loyalty: a structural model. Tourism management, 26(1), 45-56. https://doi.org/10.1016/j.tourman.2003.08.016

Zhang, H., Lu, Y., Gupta, S., Zhao, L., Chen, A., & Huang, H. (2014). Understanding the antecedents of customer loyalty in the Chinese mobile service industry: a push– pull–mooring framework. International Journal of Mobile Communications, 12(6), 551-577. https://doi.org/10.1504/IJMC.2014.064901

Zheng, Y., Goh, E., & Wen, J. (2020). The effects of misleading media reports about COVID-19 on Chinese tourists’ mental health: a perspective article. Anatolia, 31(2), 337-340. https://doi.org/10.1080/13032917.2020.1747208

Пасько, О. В., Чистяков, Д. И., & Крамарова, Т. Ю. (2019). Образование в сфере туризма как средство решения этнополитических проблем. Инновационное образование и экономика, (23), 19-23.

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Published

2023-10-02

How to Cite

Gajić, T., Vukolić, D., Đoković, F., Jakovljević, M., Bugarčić, J., Jošanov Vrgović, I., & Glišić, S. (2023). APPLICATION OF THE PPM MODEL IN ASSESSING THE IMPACT OF ECONOMIC FACTORS ON THE SELECTION OF AN AGRO-TOURISM DESTINATION AFTER COVID-19 . Economics of Agriculture, 70(3), 755–771. https://doi.org/10.59267/ekoPolj2303755G

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