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Understanding hedonic motivation in the context of smart transportation

Gajdzik Bożena, Jaciow Magdalena, Lipowska Ilona, Misiewicz Chrystyna, Tkaczyk Jolanta

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

2025

z. 217

73--92

Purpose: This study aims to investigate the role of hedonic motivation in shaping the intention to use smart transportation (ST) solutions. The research focuses on hedonic motivation as a critical, yet often underexplored, factor influencing the adoption of ST solutions. Design/methodology/approach: The study employs a quantitative research design, utilizing a structured questionnaire distributed via CAWI method. A sample of 539 urban residents in Poland was analyzed, with measurement scales for hedonic motivation and intention to use ST derived from validated frameworks like the UTAUT. Statistical analyses, including Pearson and Spearman's rho correlations, were conducted to explore the relationships between the variables. Findings: The results confirm a statistically significant moderate positive relationship (r = 0.46, p < 0.001) between hedonic motivation and the intention to use smart transportation solutions. Key hedonic factors, such as enjoyment, entertainment, and pleasure, were found to significantly influence user intentions. The findings highlight the consistent role of hedonic motivation across demographic and socio-economic groups. Research limitations/implications: The study is limited to urban residents in Poland and employs self-reported data, which may restrict the generalizability of the findings. Future research should explore cross-cultural comparisons and longitudinal designs to examine sustained adop- tion behaviors over time. Practical implications: The findings provide actionable insights for ST's policymakers, system designers, and operators. Integrating hedonic elements such as gamification, aesthetically pleasing designs, and personalized features into smart transportation systems can enhance user engagement and adoption rates. These strategies are crucial for developing user-centered solutions that balance functionality with emotional appeal. Social implications: Promoting the adoption of ST solutions through hedonic motivation contributes to sustainable urban mobility, reducing carbon emissions and encouraging environmentally friendly behaviors. By making transportation systems both efficient and enjoyable, these solutions can improve quality of life and support the transition to smarter, greener cities. Originality/value: This study offers a novel contribution by focusing exclusively on the role of hedonic motivation in ST adoption, particularly in the underexplored context of Central and Eastern Europe.

Behavioural mimicry or herd behaviour of Generation Z? Social media interactions in the context of information overload

Stepaniuk Krzysztof, Lăzăroiu George, Misiewicz Chrystyna, Pereira Verónica Crespo

Engineering Management in Production and Services

2024

Vol. 16, no. 4

21--33

The article aimed to examine the relationship between Generation Z’s interactions on social networking sites in the context of herd behaviour and behavioural mimicry through central and peripheral content processing pathways. The study was conducted using the CAWI method on a group of 142 representatives of Generation Z from selected universities in Poland. Nonparametric tests were used for statistical analyses. In the case of information overload, approximately 20 % of respondents’ interactions on different social media platforms may result from behavioural mimicry and herd behaviours. This type of activity is influenced primarily by the observed number of interactions and the emotional nature of other users’ reactions. The observed differences are determined by gender, the type of social media platform, and related content specificity. Research limitations result from the specificity of the research sample in the context of its homogeneity and size. The theoretical contribution is related to the development of the cognitive-emotional-behavioural theory of memes about the imitation of interactions of social media users’ conditioned herd behaviour and behavioural mimicry. The novelty of the research lies in the application of the theoretical Elaboration Likelihood Model approach to the analysis of herd behaviour and behavioural mimicry in the context of research on the cognitive, emotional, and behavioural activities of various social media platform users.