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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.
EN
Purpose: The article investigates organizational customers response to the marketing stimulation in order to understand the moderating role of economy and emotional motives in business-to-business relationship. Design/methodology/approach: The research was conducted in the form of case studies of experimental marketing projects facilitated in context of wholesale e-commerce B2B platform. Surveys and free text content has been analysed for statistics and conclusions formulation. Findings: The study identifies the influence of different forms of emotional motivation on the engagement of B2B customers and points out the success factors for engagement in B2B. Customers, when stimulated, demonstrate willingness to value creation for themself in form of emotional satisfaction and inside for company. They benchmark sales platform delivering inside from market. Finally, customers share their experience as the boosting factor for others. The study analyses customer engagement from the organizational and individual perspective. Research limitations/implications: The limitations are typical for the experimental projects which entail the uncertainty of the exact results replication. However, the obtained results indicate extension to academic literature as well as the practical suggestion for business. Originality/value: The research contributes to academia in the field of B2B customers behaviour when they are stimulated to creative activity on the e-commerce platform. Paper investigates reactions of individual responders to engagement projects while they are in strong organisational context.
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