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Our research investigated how the perceived effectiveness of privacy, perceived privacy risk, and perceived security influenced consumers' behavioral intention to use mobile payment applications during the COVID-19 pandemic.

We applied a quantitative method using a cross-sectional online survey conducted over three years. We collected a sample of 1,471 survey responses focused on ages 18–39. Using descriptive statistics, confirmatory factor analysis, and structural equation modeling, we tested our hypotheses with SPSS 27 and AMOS 27.

Results of the study indicate that the perceived effectiveness of privacy positively influences perceived privacy risk, perceived security, and behavioral intention. Moreover, perceived privacy risk has a positive effect on perceived security. We found no significant relationship between perceived privacy risk and behavioral intention, although perceived security has a positive effect on behavioral intention. Further mediation analyses showed that perceived privacy risk and perceived security mediate the relationship between the perceived effectiveness of privacy and behavioral intention.

This research sheds new light on the role of perceived privacy effectiveness in mobile payment adoption in Hungary, particularly during the COVID-19 pandemic. Our research also explains why and how perceived privacy effectiveness influences consumers' perceived privacy risk, perceived security, and behavioral intention.

Chatbots have been explored as a novel approach to enhancing consumer engagement by delivering more enjoyable, personalized services. This research aims to investigate the mechanism through which anthropomorphic elements of chatbots influence consumers' intentions to use the technology.

This research introduces five key concepts framed through the “computers-are-social-actors” (CASA) paradigm: form realism (FR), behavioral realism (BR), cognitive trust (CT), entertainment (EM) and chatbot usage intention (CUI). An online questionnaire garnered 280 responses from China and 207 responses from Indonesia. Data collection employed a combination of purposive and snowball sampling techniques. This research utilized structural equation modeling through the analysis of moment structures (AMOS) 27 software to test the hypotheses.

(1) FR positively predicts CT and EM, (2) FR negatively predicts CUI, (3) BR positively predicts CT and EM, (4) BR positively predicts CUI and (5) Both CT and EM mediate the relationship between FR and CUI, as well as between BR and CUI.

This research enriches the current literature on interactive marketing by exploring how the anthropomorphic features of chatbots enhance consumers' intentions to use such technology. It pioneers the exploration of CT and EM as mediating factors in the relationship between chatbot anthropomorphism and consumer behavioral intention. Moreover, this research makes a methodological contribution by developing and validating new measurement scales for measuring chatbot anthropomorphic elements.

With a host of changes being driven by automation, digitalization and robotization, every business today comprises some digital aspect. Possessing digital skills is key for staying employable. Because digital skill requirements of employers are constantly being redefined, an alignment between industry and academia is necessary to develop a workforce that can promote economic growth and societal welfare. This study aims to analyse the differences in employer expectations as compared to management graduates’ perceptions regarding the digital skills and abilities necessary for human resources to be employable.

Qualitative content analysis techniques have been used to demonstrate the thematic convergence of data collected using focus groups. A series of seven focus groups were conducted with two respondent groups – HR professionals (n = 26) and final-year postgraduate management students (n = 32). NVivo was used to analyze the transcripts.

The findings establish a qualitative hierarchy of 15 digital skills necessary for management graduates to be employable. These have been mapped onto the typology of managerial skills (technical, human and conceptual) given by Katz (1955). The salience of the themes identified varies significantly across the two respondent groups.

The novelty of this study lies in establishing a qualitative hierarchy of digital skills essential to be employable. By mapping the differences in management graduates’ understanding of employability and HR expectations regarding digital skills, the study generates new insights for examining the student-job fit.