Tamás Vinkóczi, Izabella Mária Végvári, Martina Németh, Judit Petra Koltai
{"title":"Consumer impulse buying in Hungary: A CB-SEM analysis of Hungarian consumer behaviour towards mobile short video applications based on a Chinese reference model","authors":"Tamás Vinkóczi, Izabella Mária Végvári, Martina Németh, Judit Petra Koltai","doi":"10.1016/j.chbr.2024.100522","DOIUrl":"10.1016/j.chbr.2024.100522","url":null,"abstract":"<div><div>Mobile Short Video Applications are becoming increasingly popular worldwide. The appropriate content can shape, improve or change consumers' purchasing decisions. This paper examines the attitudinal differences in impulse buying related to the use and acceptance of MSAs by adapting a model already validated in China to Hungarian users. The analysis was conducted using Covariance-Based Structural Equation Modelling (CB-SEM). A structured questionnaire survey of 283 respondents in Hungary shows that the Chinese model cannot fully be applied to Hungary. A major difference between the results of the two models is that in the Hungarian model, perceived expertise shows a positive relationship with flow experience. This indicates that video makers - in the case of Hungarian videos - should produce content including introductory information and the operation of the product. The results suggest that in the case of MSA use in Hungary, perceived expertise affects impulse buying indirectly, but flow experience directly. Flow experience is only influenced by perceived expertise (β = 0.31, ρ < 0.05), with an explained variance of 10%. Flow experience (β = 0.46, ρ < 0.05) with its direct effect on impulse buying behaviour accounts for 21% of the variance. Hungarian and Chinese MSA users have different preferences in terms of content, thus the results provide important information for both international short video creators and companies entering the international market.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"16 ","pages":"Article 100522"},"PeriodicalIF":4.9,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Robert Thomson , Daniel N. Cassenti , Thom Hawkins
{"title":"Too much of a good thing: How varying levels of automation impact user performance in a simulated intrusion detection task","authors":"Robert Thomson , Daniel N. Cassenti , Thom Hawkins","doi":"10.1016/j.chbr.2024.100511","DOIUrl":"10.1016/j.chbr.2024.100511","url":null,"abstract":"<div><div>Cyber analysts face a demanding task when prioritizing alerts from intrusion detection systems, balancing the challenge of numerous false positives from rule-based methods with the critical need to detect genuine cyber threats, necessitating unwavering vigilance and imposing a significant cognitive burden. In this field, there exists pressure to incorporate artificial intelligence techniques to enhance the automation of analyst workflows, yet without a clear grasp of how elevating the <em>Level of Automation</em> impacts the allocation of attentional and cognitive resources among analysts. This paper describes a simulated AI-assisted intrusion detection task which varies five degrees of automation as well as the sensitivity of the assistant, evaluating performance-based (e.g., accuracy, response time, sensitivity, response bias) and subjective (e.g., surveys on workload and trust) measures. Participants white-listed a series of time-sensitive alerts in a simulated Snort® environment. Our findings indicate that elevating the level of automation altered participants’ behavior, evident in their tendency to display a response bias towards rejecting hits (reduced hit rate and false alarm rate) when overriding an AI’s decision. Additionally, participants subjectively reported experiencing a decreased cognitive workload with a more precise algorithm, irrespective of any variance in their actual performance. Our findings suggest the necessity for additional research before implementing further automation into analyst workflows, as the demands of tasks evolve with escalating levels of automation.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"16 ","pages":"Article 100511"},"PeriodicalIF":4.9,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An approach based on data mining and genetic algorithm to optimizing time series clustering for efficient segmentation of customer behavior","authors":"Hodjat (Hojatollah) Hamidi, Bahare Haghi","doi":"10.1016/j.chbr.2024.100520","DOIUrl":"10.1016/j.chbr.2024.100520","url":null,"abstract":"<div><div>In today's highly competitive market, organizations face significant challenges in accurately understanding and segmenting customer behavior due to the inherently dynamic and evolving nature of customer interactions over time. Traditional customer segmentation methods often neglect these temporal variations, leading to ineffective business strategies and missed opportunities. This research addresses this critical gap by introducing an innovative time series-based approach for customer behavior segmentation. By modeling each customer's behavior as a time series capturing key metrics such as purchase frequency, transaction amounts, and customer lifecycle costs the proposed method dynamically adapts to behavioral changes over time. To enhance segmentation precision, a genetic algorithm is employed to optimize feature weights, ensuring that the most relevant factors are emphasized. These optimized features are then clustered using spectral clustering to identify distinct and meaningful customer segments. The effectiveness of the proposed method is validated using 30 months of transactional data from a payment services company. The results demonstrate that the proposed approach, particularly when combined with spectral clustering and optimally weighted features, significantly surpassing the performance of traditional static segmentation techniques. This research not only provides a more accurate framework for uncovering hidden patterns in customer behavior but also delivers actionable insights for targeted marketing and personalized customer strategies.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"16 ","pages":"Article 100520"},"PeriodicalIF":4.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Richard Huan Xu , Yuan Cao , Dong Dong , Eliza Lai-yi Wong , Sherry Kit-wa Chan
{"title":"Development and validation of a mental eHealth literacy scale","authors":"Richard Huan Xu , Yuan Cao , Dong Dong , Eliza Lai-yi Wong , Sherry Kit-wa Chan","doi":"10.1016/j.chbr.2024.100518","DOIUrl":"10.1016/j.chbr.2024.100518","url":null,"abstract":"<div><h3>Objectives</h3><div>This study aimed to develop a new instrument called the Mental eHealth Literacy Scale (MeHLS) to specifically measure mental eHealth literacy and to assess its psychometric properties in the Chinese population of Hong Kong.</div></div><div><h3>Methods</h3><div>The MeHLS was developed by a mixed-method study design with five phases. Psychometric properties were evaluated using both classical test theory and item response theory (IRT) approaches. For construct validity, we used exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). We assessed convergent validity through hypothesized correlation analysis and known-group validity via ANOVA. We measured internal consistency using Cronbach's Alpha and test-retest reliability using the intraclass correlation coefficient. Receiver Operating Characteristic (ROC) was used to determine the optimal cut-off point of the MeHLS.</div></div><div><h3>Results</h3><div>A total of 2064 individuals completed the survey. Both EFA and CFA demonstrated a three-factor structure of the MeHLS, aligning with the design. The IRT analysis showed the discrimination value ranged between 1.580 and 3.296, with no items having disordered thresholds. Correlation analysis revealed that MeHLS was significantly associated with all concept-related instruments, indicating good convergent validity. ANOVA results demonstrated that MeHLS can significantly differentiate individuals in all risk groups. The MeHLS showed good reliability, with a Cronbach's Alpha of 0.95 and an Intraclass Correlation Coefficient of 0.75. ROC analysis confirmed a cut-off score of 67 to differentiate individuals with high and low MeHL.</div></div><div><h3>Conclusion</h3><div>The MeHLS is a multidimensional instrument that shows good psychometric properties for measuring web-based mental health literacy.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"16 ","pages":"Article 100518"},"PeriodicalIF":4.9,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interactive external representations for knowledge-building processes and performance in dyads: An experimental study","authors":"Magdalena Mateescu , Simone Kauffeld","doi":"10.1016/j.chbr.2024.100519","DOIUrl":"10.1016/j.chbr.2024.100519","url":null,"abstract":"<div><div>Digital tools that enable the production and manipulation of interactive external representations (IER) could be vital in strengthening collaboration and boosting performance. This experimental study with 40 participants working in dyads at a Large Interactive Surface examined the effects of IER on the collaborative processes and solution quality. The results show that even minor changes in interactivity can influence both collaborative processes and solution quality. Specifically, higher interactivity led to higher convergence of mental models and solution quality. Additionally, the dyads in the higher interactivity condition tended to focus on different aspects of the problem space, i.e. macro vs. micro-level interaction. Although the level of interactivity did not directly affect conversational turn-taking, the cross-recurrence quantification analysis revealed that it may change dyads' collaborative patterns. High interactive external representations may foster more complex collaboration dynamics with a plurality of patterns. Unexpectedly, turn-taking had no bearing on the solution quality, which is especially surprising considering the results of previous research. The findings contribute to understanding team cognition by taking a nuanced view of digital technology's role in team efficiency and convergence of the mental models. The practical implications of the findings are discussed.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"16 ","pages":"Article 100519"},"PeriodicalIF":4.9,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cross-cultural study on social media usage and its correlation with mental health and family functioning","authors":"Bdour Alwuqaysi, Alfie Abdul-Rahman, Rita Borgo","doi":"10.1016/j.chbr.2024.100513","DOIUrl":"10.1016/j.chbr.2024.100513","url":null,"abstract":"<div><div>Social media has the potential to influence both mental health and family dynamics significantly. However, there is limited research on the relationship between social media usage, mental health, and family functioning. To address this gap, we developed a novel mobile app, <em>Social Brain</em>, and conducted a study with 563 social media users to evaluate their preferences for the app's interface and functionality. The user-preference app design was validated with a separate study involving 65 social media users.</div><div>The <em>Social Brain</em> app provides personalized, visually engaging weekly reports on users’ mental health, family functioning, and social media usage patterns. Participants from Saudi Arabia, Malaysia, and the United Kingdom were recruited to use the app for four weeks. A detailed survey conducted with 25 participants revealed significant correlations: mental health was notably associated with marital and employment status, while family functioning was linked to marital status, nationality, employment status, and religion.</div><div>Our results indicated a significant decrease in mean mental health scores after using the <em>Social Brain</em> app compared to pre-app usage assessments (2.11 ± 0.49 vs. 25.28 ± 5.72, P < 0.001). This finding highlights the need to view technology as a complement rather than a replacement for traditional mental health approaches. Our study offers valuable insights into the complex relationship between social media usage, mental health, and family functioning, suggesting pathways for future interventions at this intersection.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"16 ","pages":"Article 100513"},"PeriodicalIF":4.9,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effect of business games on learning perception and satisfaction of students on technical courses in business administration integrated into high school","authors":"Adonai José Lacruz , Eduardo Sofiate","doi":"10.1016/j.chbr.2024.100515","DOIUrl":"10.1016/j.chbr.2024.100515","url":null,"abstract":"<div><div>The research aims to investigate the effect of business games on learning perception and the satisfaction of students in technical courses in Business Administration integrated with high school from the analytical perspective of Experiential learning. To achieve this objective, a study was conducted using three different types of business games (online computerised, board, and gamebook), with students completing the technical course integrated into high school at the Federal Institute of Espírito Santo (Ifes) in Brazil. Data were collected using a self-administered online questionnaire and analysed using partial least squares structural equation modelling. Two competing models were evaluated. In both cases, the experience of the game has an effect on learning perception and satisfaction. However, one considers that learning perception has an effect on satisfaction and another in which it is the satisfaction that has an effect on learning perception (i.e., the halo effect). The study's results demonstrated that experience in the business game has a positive effect on students' perception of learning and satisfaction and that the hypothesis of the existence of the halo effect was rejected. This suggests that business games can be adjusted to fit different levels of education, depending on how they are applied.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"16 ","pages":"Article 100515"},"PeriodicalIF":4.9,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Depression and excessive internet use: The mediating roles of anxiety and intellectual difficulties","authors":"Meysam Haddadi Barzoki","doi":"10.1016/j.chbr.2024.100512","DOIUrl":"10.1016/j.chbr.2024.100512","url":null,"abstract":"<div><div>The Internet has become an integral part of modern life, providing easy access to resources that fulfill various human needs. This study examines the factors influencing Excessive Internet Use (EIU) among adolescents, with a focus on mental health, intellectual difficulties and sociodemographic factors, to better understand risk factors and inform targeted interventions. A total of 155,166 adolescents aged 13–17 years participated in this questionnaire-based study, utilizing national survey data. The findings reveal a social gradient in EIU, with disadvantaged groups—such as girls, sexual minorities, and those from lower/middle socioeconomic statuses—showing a higher tendency towards EIU compared to advantaged groups, including boys, heterosexuals, and individuals from higher SES backgrounds. Regression analysis identified intellectual difficulties and anxiety disorders as the strongest predictors of EIU. Mediation analysis underscore the mediating roles of anxiety and intellectual difficulties in the relationship between depressive symptoms and EIU. The moderation analysis indicated that the relationship between depressive symptoms and EIU was weaker among disadvantaged adolescents. The findings suggest that interventions addressing EIU should be tailored to the specific needs of disadvantaged groups, particularly girls, sexual minorities, and those from lower-SES backgrounds, who are at higher risk. Additionally, the attenuated impact of depressive symptoms on EIU in these groups indicates that anxiety disorders and intellectual difficulties may play a more critical role in driving EIU, highlighting the importance of comprehensive mental health strategies that extend beyond treating depression alone.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"16 ","pages":"Article 100512"},"PeriodicalIF":4.9,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The impact of virtual computer screen backgrounds on subjective performance evaluation in online videoconferences","authors":"Katharina Reiter , Alwine Mohnen , Gari Walkowitz","doi":"10.1016/j.chbr.2024.100516","DOIUrl":"10.1016/j.chbr.2024.100516","url":null,"abstract":"<div><div>We investigate the influence of real and virtual computer screen backgrounds in Zoom videoconferences on subjective performance evaluation. Using an incentivized online experiment (<em>N</em> = 210), we systematically vary workers' computer screen backgrounds in a supervisor–worker bargaining situation carried out in a videoconference. We find a significant influence of workers' applied computer screen backgrounds on supervisors' subjective performance evaluations, with significantly more positive ratings when workers use a virtual white background than a real white background (<em>d</em> = 0.47). This finding is robust when we control for workers' measurable and salient objective performance and gender and for supervisors' gender and age. Regarding the underlying processes, we show that supervisors' perceptions of the workers’ likability and trustworthiness enhance subjective performance evaluations when virtual white videoconference backgrounds are applied. Practical implications for the application of human resource practices in digitalized environments are discussed.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"16 ","pages":"Article 100516"},"PeriodicalIF":4.9,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digital payment systems in an emerging economy","authors":"Romny Ly , Bora Ly","doi":"10.1016/j.chbr.2024.100517","DOIUrl":"10.1016/j.chbr.2024.100517","url":null,"abstract":"<div><div>This study investigates the factors influencing the adoption of digital payment systems in Cambodia, employing a quantitative approach with 359 Cambodian participants. The research integrates concepts from the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB) to explore the relationships between perceived ease of use (PEU), perceived usefulness, public attitudes, perceived behavioral control, financial literacy, and the adoption of digital payment systems. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), the study identifies a significant positive relationship between PEU and attitudes toward digital payment systems, corroborating the TAM's assertion that ease of use is a crucial determinant in technology acceptance. The findings also highlight the critical role of perceived usefulness, extending its implications to include convenience, security, and transactional efficiency. The study underscores the influence of public attitudes and perceived behavioral control on adopting digital payment systems, particularly in an emerging economy. In addition, it reveals the impact of financial literacy, not only as a determinant of adoption but also as a mediator in the relationship between public attitudes and adoption. Behavioral nudges are also identified as significant influences in this context. The research contributes to understanding digital payment adoption in emerging markets. It provides digital financial technology insights for practitioners, policymakers, and educators.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"16 ","pages":"Article 100517"},"PeriodicalIF":4.9,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}