THE APPLICATION OF WEB ANALYTICS BY OWNERS OF RURAL TOURISM FACILITIES IN POLAND – DIAGNOSIS AND AN ATTEMPT AT A MEASUREMENT
Abstract
Data analytics changes the way the enterprises operate, and allows them to both discover new business opportunities and offer innovative products and services. Data analytics can also be used to boost the performance of rural businesses. Therefore, the purpose of this study is to identify web analytics tools used by owners of rural tourism establishments in Poland. The study covered 965 websites hosted on selected paid domains. SEOptimer, an online application, and Google Tag Assistant were used in order to identify the analytical tools. Findings from the study were considered in the context of search engine optimization level and of the scale of business operations. In the sample covered by this study, a form of web analytics was found in 449 websites (46.5%); however, a data collection engine was probably implemented in 425 websites (44%). Google Analytics was the most frequent analytical tool. It was demonstrated that rural tourism establishments used analytical tools to a lesser extent than other businesses which rely on the Internet to promote and sell their products. Moreover, owners of higher-standard rural tourism establishments are more keen to use web analytics.
Keywords
data analytics; web analytics; rural tourism; optimisation; Google Analytics; digital marketing
References
Analyzeo (2015). Analityka internetowa – przyszłość rynku e-commerce [Internet analytics – the future of the e-commerce market]. Analyzeo. Retrieved from: https://goo.gl/zhJegK [in Polish].
Barton, D., Court, D. (2012). Making advanced analytics work for you. Harv. Bus. Rev., 90(10), 78–83.
Brynjolfsson, E., Hitt, L. M., Kim, H. H. (2011). Strenght in numbers: how does data-driven decisionmaking affect firm performance? Retrieved from: https://ssrn.com/abstract=1819486
Davenport, T. H. (2013). The Rise of Analytics 3.0. How to Compete in the Data Economy. eBook: International Institute for Analytics.
Davenport, T. H., Harris, J. G. (2010). Inteligencja analityczna w biznesie. Nowa nauka zwyciężania [Competing on Analytics: The New Science of Winning]. Warszawa: MT Biznes [in Polish].
Dergiades, T., Mavragani, E., Pan, B. (2018). Google Trends and tourists’ arrivals: Emerging biases and proposed corrections. Tour. Manag., 66, 108–120. DOI: https://doi.org/10.1016/j.tourman.2017.10.014
Głąb, A. (2014). Rynek biznesowy. Raport: Wpływ internetu na gospodarkę w Polsce (s. 10–12) [Business market. Report: The impact of the Internet on the economy in Poland]. Warszawa: Związek Pracodawców Branży Internetowej IAB Polska [in Polish].
Grossman, R. L. (2018). A framework for evaluating the analytic maturity of an organization. Int. J. Inf. Manag., 38(1), 45–51. DOI: https://doi.org/10.1016/j.ijinfomgt.2017.08.005
IRCenter (2015). Raport: Rynek marketing technologies w Polsce [Report: Market technologies in Poland]. Warszawa: Interactive Research Center [in Polish].
Jansen, B. J. (2009). Understanding user-web interactions via web analytics. Synthesis Lectures on Information Concepts, Retrieval, and Services. DOI: https://doi.org/10.2200/S00191ED1V01Y200904ICR006
Kaushik, A. (2007). Web Analytics: An Hour A Day. Indianapolis: Wiley Publishing, Inc.
Kaushik, A. (2010). Web Analytics 2.0. Świadome rozwijanie witryn internetowych [Web Analytics 2.0. Conscious development of websites]. Gliwice: Helion [in Polish].
Król, K. (2017). Promoting of agrotourism on the Internet – A lesson from the Visegrad Group countries. J. Agribus. Rural Dev., 4(46), 805–813. DOI: https://doi. org/10.17306/J.JARD.2017.00383
Król, K. (2019). Forgotten agritourism: abandoned websites in the promotion of rural tourism in Poland. J. Hospit. Tour. Technol., 10(3), 461–472. DOI: https://doi.org/10.1108/JHTT-09-2018-0092
McAfee, A., Brynjolfsson, E. (2012). Big Data: The Management Revolution. Harv. Bus. Rev. Retrieved from: https://goo.gl/XpevWN
Ołdak, A. K. (2010). Web Analytics. Warszawa: PARP [in Polish].
Peterson, E. T. (2004). Web analytics demystified: a marketer’s guide to understanding how your web site affects your business. Celilo Group Media and CafePress.
Tarhan, A., Turetken, O., Reijers, H. A. (2016). Business process maturity models: A systematic literature review. Inf. Soft. Technol., 75, 122–134. DOI: https://doi.org/10.1016/j.infsof.2016.01.010
Wiecka, A. (2018a). Dokąd zmierza analityka w biznesie [Where is the analyst in business going]. Harv. Bus. Rev. Polska. Retrieved from: https://goo.gl/DYoLs9 [in Polish].
Wiecka, A. (2018b). Gospodarka analityczna [Analytical economy]. Harv. Bus. Rev. Polska, 182. Retrieved from: https://goo.gl/HjExAn [in Polish].
Wilson, H. J., Daugherty, P. R., Morini-Bianzino, N. (2017). The Jobs That Artificial Intelligence Will Create. MIT Sloan Manag. Rev., 58(4), 14–16.
Department of Land Management and Landscape Architecture, University of Agriculture in Kraków, ul. Balicka 253c, 30-149 Kraków Poland
https://orcid.org/0000-0003-0534-8471
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