Gamification, i.e., the use of game elements in non-game contexts, aims to increase peoples’ motivation and productivity in professional settings. While previous work has shown both positive as well as negative effects of gamification, there have been barely any studies so far that investigate the impact different gamification elements may have on perceived stress. The aim of the experimental study presented in this paper was thus to explore the relationship between (1) leaderboards, a gamification element which exchanges and compares results, (2) heart rate variability (HRV), used as a relatively objective measure for stress, and (3) task performance. We used a coordinative smartphone game, a manipulated web-based leaderboard, and a heart rate monitor (chest strap) to investigate respective effects. A total of n = 34 test subjects participated in the experiment. They were split into two equally sized groups so as to measure the effect of the manipulated leaderboard positions. Results show no significant relationship between the measured HRV and leaderboard positions. Neither did we find a significant link between the measured HRV and subjects’ task performance. We may thus argue that our experiment did not yield sufficient evidence to support the assumption that leaderboard positions increase perceived stress and that such may negatively influence task performance.

Purpose: This research delves into understanding the selection criteria of Generation Z, specifically those with an IT education background, in choosing potential employers. The study aims to bridge the gap in knowledge regarding employer attractiveness from the perspective of this emerging workforce cohort. Design/Method/Approach: A quantitative approach was employed, utilizing a survey method to gather data. The study predominantly targeted students from an Austrian business school, resulting in a sample size of 156 respondents. The survey included a Conjoint Analysis to evaluate various employer attributes. Findings: The findings highlight the significance of workplace flexibility, Work-Life Balance, and meaningful, varied job tasks for Generation Z. Salary emerged as a crucial factor influencing their choice of an attractive employer. While symbolic attributes were slightly more critical than instrumental ones, no significant impact of professional experience on the perceived relevance of symbolic attributes was found. Theoretical Implications: The study enriches the Instrumental-Symbolic Framework by validating the importance of symbolic attributes for Generation Z. Practical Implications: Practitioners can leverage these insights to tailor their Employer Branding strategies to attract Generation Z, focusing on flexible work arrangements, meaningful work, and competitive salaries. Originality/Value: This research provides new insights into the preferences of Generation Z in the IT sector, highlighting the nuanced differences in their employer selection criteria compared to previous generations. Research Limitations/Future Research: The study’s limitations include its focus on two specific educational institutions and the lack of rural-urban differentiation among respondents. Future research could explore these criteria across diverse geographic and institutional contexts. Paper Type: Empirical JEL Сlassіfіcatіon: J24, M12, M51

Purpose: This study determines the influence of employer image on industry attractiveness in small and medium-sized hospitality firms by using the instrumental-symbolic framework adapted from marketing literature.Design/methodology/approach: A total of 405 employees and 429 family firm owners in Bavaria were surveyed using a quantitative research design. The authors used linear and hierarchical multiple regression analyses for hypothesis testing using the variables included in the instrumental-symbolic employer image framework.Findings: The study revealed differences in perception between employees and owners. Data showed that employees' ratings for instrumental attributes, such as job security and income options, and symbolic attributes, such as industry attractiveness, significantly differ from those of owners. Consistent with the instrumental-symbolic framework, owners' perceptions of symbolic attributes predicted their perceived industry attractiveness.Practical implications: Owners may examine how their industry's image needs to be changed to gain positive perception by current and potential employees. Policymakers may benefit from the study’s results that may help them find the right focal points for strategies in promoting Bavaria's hospitality sector. As a result, an adequate and positive image is created that attracts workers for this sector.Originality/value: The study addresses the rather under-researched stakeholder group of existing hospitality employees, particularly with respect to employer image. Furthermore, owners and employees are compared, regardless of their individually different relationships to the business. Employer image is connected with overall perceived industry attractiveness, stating that the industry comprises individual employing businesses and thus depends on employer image.

“Someday, in the distant future, our grandchildren’s grandchildren will develop a new equivalent of our classrooms. They will spend many hours in front of boxes with fires glowing within. May they ...

Due to the wide adoption of digital voice assistants (DVAs), interactions with technology have also changed our perceptions, highlighting and reinforcing (mostly) negative gender stereotypes. Regarding the ongoing advancements in the field of human–machine interaction, a developed and improved understanding of and awareness of the reciprocity of gender and DVA technology use is thus crucial. Our work in this field expands prior research by including a nonbinary voice option as a means to eschew gender stereotypes. We used a between-subject quasi-experimental questionnaire study (female voice vs. male voice vs. nonbinary voice), in which $n=318$ participants provided feedback on gender stereotypes connected to voice perceptions and personality traits. Our findings show that the overall gender perception of our nonbinary voice leaned towards male on the gender spectrum, whereas the female-gendered and male-gendered voices were clearly identified as such. Furthermore, we found that feminine attributes were clearly tied to our female-gendered voice, whereas the connection of masculine attributes to the male voice was less pronounced. Most notably, however, we did not find gender-stereotypical trait attributions with our nonbinary voice. Results also show that the likability of our female-gendered and nonbinary voices was lower than it was with our male-gendered voice, and that, particularly with the nonbinary voice, this likability was affected by people’s personality traits. Thus, overall, our findings contribute (1) additional theoretical grounding for gender-studies in human–machine interaction, and (2) insights concerning peoples’ perceptions of nonbinary voices, providing additional guidance for researchers, technology designers, and DVA providers.