Human Behavior and Emerging Technologies最新文献

Tourism has developed significantly through websites, where owners and potential users converge. This study determined the importance of reviews, ratings, scarcity, and popularity of websites and their impact on main effects and interactions on four outcome variables: attention, information, interest, and likelihood of booking. Under a 2⁴ factorial design (2Reviews × 2Ratings × 2Scarcity × 2Popularity) mediated by the covariate susceptibility, it was found that a higher number of reviews, better ratings, high scarcity, and popularity are associated with higher interest, higher intention to seek information, and higher probability of booking. However, attention to the site is not affected solely by the number of reviews or third-party ratings, although the combination of high scarcity and popularity does have an influence.

Recruitment has witnessed exponential growth both practically and academically. Its upgradation as a strategic function can be attributed to this growth. The concomitant spillover into literature and theories from other fields is also responsible for this growth. Groundbreaking technologies and their contribution to this field of human resources seem to have completely disrupted the recruitment landscape. Literature suggests that “theory and scholarship on recruitment has not kept pace with the rapidly changing landscape.” This study, therefore, tries to dive deep into recruitment literature through an integrative review method to understand its evolution over decades to become a proactive process from a reactive one. It is important in the current context when technologies like artificial intelligence and social media have taken organizations by storm. Evolution of recruitment as a subject has blurred its “contextual boundaries,” thereby elevating its scope. A framework has been suggested to summarises the review.

The widespread adoption of digital technologies has profoundly reshaped interpersonal dynamics, particularly among younger generations. In this context, the fear of missing out (FOMO) has emerged as a significant psychosocial phenomenon characterised by persistent anxiety about being excluded from rewarding social experiences. Previous studies have linked FOMO with excessive smartphone use, suggesting that this emotional state may act as a predictor of digital dependence. The present study is aimed at analysing the relationship between FOMO and smartphone dependence among university students, focusing on its statistical association with problematic smartphone use. A total of 542 university students participated in the study. Data was collected through an online questionnaire that included a FOMO scale and the EDAS-18 scale for smartphone dependence. Statistical analyses included descriptive statistics, Spearman correlations, k-means cluster analysis, Mann–Whitney and median tests for group differences and a linear regression model to estimate the predictive power of FOMO. The findings revealed moderate levels of both FOMO and smartphone dependence within the sample. A significant positive correlation (ρ = 0.48, p < 0.001) was found between FOMO and smartphone dependence. The cluster analysis identified three distinct profiles of digital engagement, with one group exhibiting particularly high levels of both variables. The regression analysis showed that FOMO was a significant statistical predictor of smartphone dependence (β = 0.497, R² = 0.247, p < 0.001). These results support the notion that higher FOMO levels are consistently linked to more severe patterns of problematic smartphone use, in line with longitudinal and experimental evidence reported in the literature, although the present cross-sectional design does not allow causal inferences. The study underscores the importance of addressing emotional and social factors in interventions aimed at reducing digital dependence in academic settings. Findings have implications for the development of targeted prevention strategies and contribute to the growing literature on the psychological impact of hyperconnectivity among university students.

To date, understanding the future of the office management and secretarial profession, which is rapidly changing under the influence of technology, has consistently been approached through sector-based analyses. This study, however, shifts the perspective to focus on the hearts and minds of the young people preparing for this journey. Using a qualitative approach, the research is aimed at identifying the perceptions of participants by investigating whether they view this digital transformation as a threat or an opportunity and how it affects their career aspirations and professional identities. The participants are students at the department of office management and secretarial studies within a vocational school of a state university. Interviews with a total of 22 participants were analyzed under the themes of productivity and business processes, job security and professional transformation, remote work experience, cybersecurity concerns, and socioethical impacts. The findings indicate that while digital tools (e.g., ERP, cloud systems) increase operational efficiency, digital adaptation requires time. Artificial intelligence and automation are leading to the evolution of traditional roles into titles such as “digital assistant coordinator,” making proficiency in digital work management tools a necessity. Although remote work initially posed social and technical challenges, productivity was maintained through digital discipline. While cyber risks like data breaches necessitate proactive measures, ethical and social issues have been highlighted, such as the impact of human–machine interaction, the erosion of social bonds, and clients′ need for human contact. The research underscores that digitalization is intertwined with technological, pedagogical, and social dynamics. It is recommended that educational programs be updated to include data analytics, ethical sensitivity, and strategic skills. By examining professional transformation from the student perspective, this study fills a gap in the literature; for future research, the inclusion of quantitative methods and the involvement of industry stakeholders is recommended.

In spite of the prioritization of technology in educational institutions, its integration in mathematics teachers’ instructional practices at the pre-tertiary level remains low. This study examines the integration of information and communication technology (ICT) in mathematics pedagogy among 53 junior high school (JHS) teachers who were selected on purpose in Ghana, utilizing a convergent parallel mixed-methods design. Drawing on a multi-theoretical framework (TPACK, UTAUT, Community of Inquiry, and Diffusion of Innovation), the study explores the effects of teachers’ perceptions of ICT integration, methods of teaching with ICT, ICT instructional influence and obstacles on ICT integration in the mathematics classroom context. Means and standard deviation, linear and multiple regression informed the analysis of the data. The results of the finding show teachers positive dispositions towards the integration of ICT in mathematics. Further, quantitative findings from regression analysis (R² = 0.65) indicate that perceptions (β = 0.45, p < 0.01) and methods (β = 0.30, p < 0.01) positively predict ICT integration, while obstacles (β = −0.25, p < 0.01) negatively predict it. Qualitative data highlight contextual barriers, such as resource constraints, and limited pedagogical strategies. Findings contribute to understanding ICT integration in resource-constrained settings, offering policy recommendations for infrastructure investment, targeted professional development, and gender equity in Ghanaian JHS mathematics education.

HR social application (HRSA) is a relatively new social application used by organizations. However, initial research suggests that organizations are struggling to engage employees with HRSA. Drawing on social exchange theory (SET), this research is aimed at investigating and evaluating the translation of HRSA, identifying factors that affect employees′ engagement with HRSA. A qualitative case study methodology was employed, utilizing triangulated data sources, including 31 interviews and a 2-year document analysis that covered 363 computerized typewritten comments submitted by employees. This research found that the vast majority of employees were disengaged with HRSA due to mistranslation. Moreover, the employer′s placement of the filtration process was found to affect user-generated content, which delays or rejects submitted comments. The findings revealed that HRSAs were mistranslated and ultimately became disengaged applications due to employers′ lack of readiness, expertise in designing/creating HRSAs, and an inadequate understanding of the nature of HRSA. This research made several contributions: theoretical, methodological, empirical, and practical.

The rapid progression of digital technology, especially artificial intelligence (AI), has catalyzed substantial advancements in e-commerce. In Vietnam, AI-integrated e-commerce platforms are increasingly attracting consumer interest due to their ability to personalize user experiences and enhance service quality. Using an integrated model that merges the Technology Acceptance Model with personal innovativeness, compatibility, self-efficacy, and curiosity, this study investigates the primary drivers of users′ adoption intentions toward these platforms. A purposive sample of 401 consumers who have experience shopping on e-commerce platforms and have used AI-integrated systems was surveyed. Structural equation modeling with Amos software was utilized to evaluate the proposed hypotheses. The findings indicate that personal innovativeness, compatibility, and self-efficacy positively influence both perceived ease of use and perceived usefulness. Furthermore, these perceptions significantly affect users′ attitudes and curiosity, which subsequently indirectly determine their intention to utilize AI-integrated platforms. This study enhances comprehension of consumer technology acceptance behavior and provides practical implications for businesses to optimize customer experience, enhance acceptance, and foster AI adoption in Vietnam′s e-commerce sector.

Older adults are increasingly relying on digital services for health, finance, and social communication. Confidence in internet use or internet use self-efficacy plays a key role in determining whether and how older adults access these services. However, existing measurement tools have limited relevance for older adults, particularly in low- and middle-income countries such as Thailand. This study is aimed at developing a culturally appropriate Internet Use Self-Efficacy Scale (IUSES) for older adults in Thailand and evaluating its psychometric properties among this population. An 8-item IUSES was developed based on Bandura′s social cognitive theory and a review of related literature. Content validity was ensured through expert consultation and pilot testing. A cross-sectional survey was conducted with 687 older adults from Northeastern Thailand. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and reliability tests were employed to evaluate the psychometric quality. EFA supported a unidimensional structure with high factor loadings (0.798–0.864), explaining 70.32% of the variance. CFA confirmed a good model fit (χ²/df = 2.700, RMSEA = 0.065, CFI = 0.980, TLI = 0.949, and SRMR = 0.033). The composite reliability was acceptable (CR = 0.790), though average variance extracted was slightly below threshold (0.333). All items were statistically significant (p < 0.001). In conclusion, the IUSES is a valid and reliable tool for assessing internet use self-efficacy in older Thai adults. It can support digital inclusion strategies and future interventions. Further cross-cultural validation is recommended.

The political body has long stood at the center of debates on sovereignty, discipline, and biopolitics. In the digital era, algorithmic governance extends these dynamics by continuously classifying, monitoring, and regulating human life. This article examines how state and corporate systems—China’s Social Credit System (SCS), India’s Aadhaar, U.S. predictive policing, and Amazon’s workplace surveillance—deploy legitimizing discourses of trust, modernization, efficiency, and integrity to normalize surveillance. Using Critical Discourse Analysis (CDA), the study demonstrates how these narratives translate into behavioral mechanisms of compliance, avoidance, and resistance, revealing governance as both a structural imposition and a lived practice negotiated by individuals. The comparative perspective highlights that, while China’s SCS represents the most integrated model of algorithmic governance, parallel strategies of legitimization are evident across democratic and corporate contexts. To conceptualize this convergence, the paper introduces the notion of the algorithmically mediated political body, which captures how disciplinary and biopolitical logics are inscribed onto everyday practices through digital infrastructures. By synthesizing Foucauldian biopolitics with Zuboff’s surveillance capitalism, the study offers a theoretical contribution, showing how algorithmic dispositifs merge population-level regulation with the commodification of behavioral data. The findings underscore that algorithmic governance is not confined to authoritarian regimes but constitutes a global pattern with profound implications for autonomy, inclusion, and resistance in the digital age. While the study includes a comparative discussion of Aadhaar, predictive policing, and Amazon’s workplace surveillance, primary data collection and discourse analysis were conducted solely for China’s SCS, with other cases examined through secondary academic and policy sources.

Although physical activity (PA) is an established pastime, digital gaming (DG) has created a new social world for young people. Scales to measure digital gaming relationships (DGRs) and physical activity relationships (PARs) are in their infancy. Therefore, the aim of this study was to investigate the properties and differences of the DGR and PAR scales used by adolescents. A convenience sample of high school students was recruited for the study. Participants completed the same questionnaire twice, with a 3-week interval between administrations. After merging and matching the two sets of responses, data from 116 students were analysed using intraclass correlation coefficients to assess intrarater reliability and principal component analyses to evaluate convergent validity. T-tests were used to determine gender differences in the DGR dimensions and linear associations with gaming and PA behaviour. After determining reliable items, five dimensions were found (competitiveness, social aspects, self-development, mental health and functional features). Cronbach′s alphas for each dimension ranged from 0.74 to 0.94. Scores from males in four of the five dimensions were statistically significantly higher than females, and there were linear associations with gaming behaviour in four dimensions. To conclude, the DGR and PAR scales seem to be suitable for use by adolescents in surveys.