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Improving the university recruitment process with web analytics

Wiechetek Łukasz, Mędrek Marek

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

2022

z. 158

679--695

Purpose: The main aim of the article is to know the information needs of candidates for university courses and indicate the importance of web analytics tools in the university recruitment process. The authors present the recruitment process for data science high study programme that was conducted in the middle of 2021 at one of the biggest universities in eastern Poland. Theoretical background: Digital transformation is an irreversible process today. Data produced by people, things, administration units and business organizations can be the source of valuable information. That transformation causes new possibilities for fast development, but also creates challenges for education processes and professional work. Furthermore, the digital transformation resulted in creating new professions like data science (DS). Because of data volume and its importance DS professionals became one of the most wanted specialists in the 21st century, and therefore many universities try to launch new study programs related to automated data processing and try to get the attention of potential students. Design/methodology/approach: The process was supported with analytics tools Hotjar and Google Analytics. The results presented in the paper base on the analysis of 974 pageviews recorded by Hotjar and activity of 824 page users reported by Google Analytics. Findings: The analysis showed that web analytics tools are very easy to use in the recruitment process, and that gathered data allows for better understanding of candidates' needs and improving the future requirement processes and tools. Results indicated that the most important topics for candidates were study programme and payment. Form the technical point of view the responsiveness of applications used for the recruitment process is crucial because a lot of traffic was generated by both users of desktop computers and mobile devices. The greatest interest in the program was recorded before the holiday months. Originality/value: The research contributes to academia in the field of recruitment. Paper presents the data science high study programme and indicates the importance of web analytics tools in the university recruitment process.

Current trends in the usage of the digital version of the local master plan (eMPZP), as illustrated with the example of Tomice municipality

Król K.

Geomatics, Landmanagement and Landscape

2018

no. 3

23--33

The purpose of the present work was to analyse the current trends in the usage of a web-based application presenting the local spatial development plan for the Tomice municipality (the eMPZP master plan). Data collection began on January 1, 2013. The values of selected measures of the eMPZP usage were obtained with the aid of the Google Analytics application. Results obtained during the period of over 5 years have been analysed in the present study. The biggest interest in the local plans of Tomice municipality has been noted from two urban centres – the towns of Krakow and of Wadowice. It has been demonstrated that the current monitoring provides information about the usage statistics of the eMPZP application, but it does not provide information about what the users were actually looking for. Also, it fails to facilitate the identification of areas (municipalities, sections, plots of land), which were the most popular, that is those places whose designation in the local plan was checked most frequently.

Celem pracy była analiza trendów w użytkowaniu aplikacji internetowej prezentującej miejscowy plan zagospodarowania przestrzennego gminy Tomice (eMPZP). Zbieranie danych rozpoczęto 1 stycznia 2013 roku. Wartości wybranych miar użytkowania eMPZP pozyskano przy pomocy aplikacji Google Analytics. Analizie poddano wyniki z okresu ponad 5 lat. Największe zainteresowanie miejscowymi planami Tomic odnotowano z ośrodków miejskich – Krakowa oraz Wadowic. Wykazano, że bieżący monitoring zapewnia informacje o statystykach użytkowania aplikacji eMPZP, lecz nie dostarcza informacji o tym czego szukali użytkownicy. Nie umożliwia także identyfikacji rejonów (gmin, obrębów, działek), które cieszyły się największym zainteresowaniem, tj. miejsc, których przeznaczenie w miejscowym planie sprawdzano najczęściej.