Human Behavior and Emerging Technologies最新文献

Enhancing the capacity of a luxury brand to stir a deep connection with customers has always been the focus of practitioners in the luxury industry. This study explores the potential role of social media in converting attachment with a luxury brand into desirable marketing outcomes. The relationships between “luxury brand attachment,” “motivation,” “social media usage,” “word-of-mouth,” and “purchase intention” are examined to understand the drivers and outcomes of luxury brand attachment in social media. A questionnaire was administered to a sample of 341 social media users on various platforms. Data were analyzed using SPSS and Amos. The results revealed that the most important attribute generating luxury attachment in social media is the capacity of a luxury brand to show prestige and status. The direct relationship between luxury brand attachment and purchase intentions is nonsignificant. A stronger attachment to a luxury brand does not entice direct intention to purchase it unless certain motives drive consumers’ luxury engagement in social media. These insights can guide marketing managers in creating effective strategies for their luxury products.

In the context of a rapidly evolving global communication landscape, this study delves into the influence of social media motivation on online relationship commitment among young adults in Jordan. Utilizing a quantitative methodology, the research operationalizes and tests a conceptual model to assess the correlation between various motivational factors and online relationship commitment. Results reveal that social media exerts a significant influence on online relationship commitment, with information-seeking and trend-following emerging as the most salient contributing factors. Additionally, the study identifies that providing self-status information, social interaction, and entertainment are key motivators that positively impact and strengthen online relationship commitment.

The increasing utilization of virtual teams—driven by advancements in information and communication technology and the forces of globalization—has spurred significant growth in both theoretical and empirical research. Based on the smart literature review framework, this study harnesses artificial intelligence techniques, specifically natural language processing and topic modeling, to extensively analyze the trends in virtual team research spanning the last four decades. Analyses of a dataset comprising 2,184 articles from Scopus-indexed journals discern 16 distinct topics, encompassing critical areas such as communication, leadership, and trust. The trajectory of research topics in this field has witnessed increasing diversification over time. Key subjects such as learning, communication, trust, and leadership have consistently maintained their presence among the ten most frequently explored topics. In contrast, emerging areas such as agile development and patient care have recently become some of the most prominent themes. Employing the state-of-the-art topic modeling technique, BERTopic, this study furnishes a comprehensive and dynamic panorama of the evolving landscape within virtual team research.

This scoping review examines the relationship between parent self-efficacy and children’s screen viewing, to provide context, identify gaps and limitations of the current body of literature, and provide recommendations for future research. We identified 111 studies from a search of four academic databases, of which sixteen were within scope and met inclusion criteria. This review found that parents who identified as more self-efficacious in task-specific areas related to screen time had children with less screen viewing time. This finding suggests that parents who identify as more self-efficacious in these areas may implement more mediation strategies, in line with current public health guidelines. Overall, it highlights the importance of consistent policies that support parents in mediating screen access, whilst maximizing the benefits of screen viewing for learning.

In our increasingly interconnected world, maintaining a healthy balance between online and offline activities is crucial for personal well-being. The Digital Life Balance (DLB) Scale has been introduced to understand the impact of Internet use on well-being, drawing upon the framework of the psychology of harmony and harmonization. This study is aimed at validating and assessing the reliability of the DLB Scale among Turkish university students. A sample of 424 university students (50.7% females, 49.3% males; age range: 20-31 years) participated. The scale was translated into Turkish, and its language validity was ensured through expert reviews. Confirmatory factor analysis supported the construct validity of the scale, effectively measuring Digital Life Balance in the Turkish context. Convergent validity analysis revealed significant correlations between the DLB Scale and measures of well-being and addiction tendencies. The DLB Scale exhibited good internal consistency (Cronbach’s alpha and composite reliability). Test-retest reliability analysis showed consistent responses over a three-week interval. These findings provide empirical evidence for the validity and reliability of the scale, making it a valuable tool for assessing individuals’ perceptions of balance in their online and offline activities.

In the evolving landscape of education, the integration of flipped and gamified learning into online English courses has remained a complex and underexplored terrain. To address this knowledge gap, our study designed and implemented an innovative hybrid pedagogical model, seamlessly blending flipped and gamified learning principles into the context of online TOEFL (Test of English as a Foreign Language) instruction. The study, conducted within a public university in Bengkulu Province, Indonesia, included 27 carefully selected research participants (11.1% male, 88.9% female) from a population of 80 third-year undergraduate English majors, employing purposive convenient sampling techniques to ensure diversity representation. Our comprehensive data collection encompassed pre- and post-TOEFL assessments, surveys, and reflective essays, with qualitative data subjected to thematic analysis and quantitative data analyzed through descriptive statistics, nonparametric Wilcoxon rank tests, and Spearman’s correlation analysis. The results unveiled a multifaceted landscape, showing improvements in student enjoyment and motivation alongside increased anxiety. However, the intervention demonstrated significant enhancements in TOEFL listening, reading, and overall scores, although structure and written expression remained largely unchanged. Intriguingly, while heightened enjoyment correlated with increased motivation, emotional variables displayed no significant correlation with TOEFL posttest scores. These findings carry profound implications for TOEFL preparation, student motivation, and the management of classroom diversity in online learning settings.

The significance of social media content in consumers’ decision-making journeys has acquired substantial attention among scholars and business practitioners in recent times. However, the exploration of how marketing strategies should design social media content to influence behavioral intentions remains fairly inadequate, particularly within the tourism industry. This study is aimed at developing a model that includes the moderating, mediating, and configuration effects of tourism-related content (TRC) dimensions on TikTok to predict enjoyment and behavioral intention. This study employs a hybrid approach of structural equation modeling (SEM) and fuzzy set qualitative comparative analysis (fsQCA) to test hypotheses and propositions using a sample of 319 participants who have experience watching TRC on TikTok and have the intention to visit the destinations presented in the content. The results from SEM confirm that content reliability and understandability significantly influence perceived enjoyment. Furthermore, visit intention is predicted to increase through the contributions of content understandability and perceived enjoyment. Insights from the mediating effect reveal that perceived enjoyment serves as a fully mediating factor between content understandability and visit intention. Moreover, the moderating effects of gender and frequency of use exhibit significant differences in their impacts on perceived enjoyment and visit intention. The outcomes of fsQCA confirm that various configurations of TRC dimensions and enjoyment provide valuable insights for designing content-marketing strategies. The consideration of different combinations of these constructs can impact behavioral intentions. This research makes significant contributions to both theory and marketing practice, as the comprehensive discussion of the combinations of configurations provides amplified insights into this study’s findings.

With the growing prevalence of online social interactions, it is crucial to understand how the social dimension affects well-being. This study investigates the relationship between the Need for Online Social Feedback (NfOSF) and individuals’ well-being, considering the moderating role of perceived online reputation. A total of 1398 participants, predominantly female, aged 14 to 61, completed an online questionnaire. The results revealed an M-shaped pattern, indicating that both dissatisfaction and excessive satisfaction with online reputation were associated with lower well-being. For those dissatisfied with their reputation, a high desire for social feedback correlated with reduced well-being, as validation from the social environment, was lacking. Similarly, individuals with fully satisfying reputations experienced frustration in their pursuit of online social feedback. In this case, the “Fame” dimension of the NfOSF scale exhibited a negative association with well-being, highlighting the impact of grandiose expectations. The findings underscore the subjective nature of this relationship, emphasizing the role of individual characteristics and social context.

Continuous usage behavior among millennials is crucial, yet factors influencing this behavior are not well understood. This study integrates human-computer interaction and marketing research to investigate the relationship between persuasive dialogue support (PDS), attitudinal loyalty (AL), and continuous-use intention (CI) in the context of WhatsApp. The study also examines the moderating role of four cultural dimensions: uncertainty avoidance (UA), power distance (PD), masculinity (MAS), and individualism (IND) in these relationships. Data was collected from 287 WhatsApp users in four countries, and the proposed theoretical model was tested using structural equation modelling (SEM-PLS). The results indicate that PDS has a direct positive impact on AL, which in turn leads to CI. The study also found that cultural differences can moderate the relationship between PDS and AL and between AL and CI. Therefore, app developers need to consider cultural differences when designing their products and implement persuasive design aspects to boost user loyalty and intention to use. To ensure optimal app performance in diverse cultural settings, developers should strike an appropriate balance between universal design principles and culturally sensitive adaptation. However, the study’s limitations, such as reliance on self-reported data and a relatively small sample size, suggest the need for future research to expand its scope to include participants from a broader range of cultural backgrounds.

This contribution analyzes the self-perception and political biases of OpenAI’s Large Language Model ChatGPT. Considering the first small-scale reports and studies that have emerged, claiming that ChatGPT is politically biased towards progressive and libertarian points of view, this contribution is aimed at providing further clarity on this subject. Although the concept of political bias and affiliation is hard to define, lacking an agreed-upon measure for its quantification, this contribution attempts to examine this issue by having ChatGPT respond to questions on commonly used measures of political bias. In addition, further measures for personality traits that have previously been linked to political affiliations were examined. More specifically, ChatGPT was asked to answer the questions posed by the political compass test as well as similar questionnaires that are specific to the respective politics of the G7 member states. These eight tests were repeated ten times each and indicate that ChatGPT seems to hold a bias towards progressive views. The political compass test revealed a bias towards progressive and libertarian views, supporting the claims of prior research. The political questionnaires for the G7 member states indicated a bias towards progressive views but no significant bias between authoritarian and libertarian views, contradicting the findings of prior reports. In addition, ChatGPT’s Big Five personality traits were tested using the OCEAN test, and its personality type was queried using the Myers-Briggs Type Indicator (MBTI) test. Finally, the maliciousness of ChatGPT was evaluated using the Dark Factor test. These three tests were also repeated ten times each, revealing that ChatGPT perceives itself as highly open and agreeable, has the Myers-Briggs personality type ENFJ, and is among the test-takers with the least pronounced dark traits.