Human Behavior and Emerging Technologies最新文献

{"title":"Development and Validation of Viable Model and Measure of Yogic Leadership: A Novel and Holistic Paradigm","authors":"Neha P. Sangodkar,&nbsp;Rudra B. Bhandari","doi":"10.1155/hbe2/5105841","DOIUrl":"https://doi.org/10.1155/hbe2/5105841","url":null,"abstract":"<p>Despite yoga’s potential to foster organizational excellence, the intersection of leadership and yoga has received limited scholarly attention. Therefore, we aimed to address this gap by developing and validating the yogic leadership scale (YLS). This study was conducted in three rigorous phases. Of 54 framed items, 49 were validated for their content by 10 experts. The first draft of YLS was subsequently administered to 669 participants for exploratory factor analysis and 256 participants for confirmatory factor analysis. The model was a good fit with five distinct factors—wellness and four intelligences (bodily kinaesthetic, cognitive, emotional, and spiritual). YLS’s intermodal convergent and discriminant validity were assessed by correlating with 10 criterion measures—Abbreviated Self-Leadership Questionnaire (ASLQ), Ethical Leadership Scale (ELS), Servant Leadership Behavior Scale (SLBS-6), Spiritual Leadership Questionnaire (SLQ), Paternalistic Leadership Behavior Scale (PLBS), Authentic Leadership Questionnaire (ALQ), Personal Efficacy Scale (PES), Vedic Personality Inventory (VPI), Ryff’s Psychological Well-Being Scale (RPWS), and <i>Vikruti Subdosha</i> Questionnaire (VSQ). The results demonstrated strong positive correlations between the subscales of YLS and six criterion measures—PLBS, ASLQ, SLBS-6, SLQ, RPWS, and the <i>satva</i> aspect of VPI, supporting their conceptual convergence. The YLS subscales showed moderate and weak positive correlations with PES, ALQ, and the <i>rajas</i> aspect of VPI, indicating conceptual divergence. The YLS subscales also had negative correlations with VSQ and the <i>tamas</i> aspect of VPI by showing their conceptual divergence. Finally, YLS emerged as a novel tool to measure four dimensions of intelligence and wellness, which can aid in designing personalized bio-psycho-socio-spiritual interventions to optimize leadership influence, wellness, and work efficiency.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/5105841","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144085272","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":"Exploring EFL Teachers’ Behavioral Intentions to Integrate GenAI Applications: Insights From PLS-SEM and fsQCA","authors":"Muhammed Parviz,&nbsp;Francis Arthur","doi":"10.1155/hbe2/5582099","DOIUrl":"https://doi.org/10.1155/hbe2/5582099","url":null,"abstract":"<p>The rapid development of generative artificial intelligence (GenAI) applications has opened new possibilities across various fields, including English language education, by enabling personalized and adaptable learning experiences. Responding to the growing trend of integrating GenAI tools into EFL instruction, this study explored Iranian teachers’ behavioral intentions to use GenAI applications, such as ChatGPT, for English teaching in higher education. Anchored in the “UTAUT” framework, the study examined external factors influencing adoption intentions, while the TPACK model assessed internal factors tied to instructors’ AI usage. A structural model featuring 20 hypotheses based on the “UTAUT” and “AI-TPACK” was proposed. Data were gathered from 444 Iranian EFL teachers via an online survey and analyzed using “partial least squares structural equation modeling and fuzzy-set qualitative comparative analysis (fsQCA).” The results highlighted the critical roles of performance expectancy and social influence in shaping adoption intentions. Interestingly, a negative relationship between AI-TPACK and behavioral intentions revealed a paradox: Deeper technological knowledge may hinder, rather than facilitate, AI adoption in teaching. Key drivers of adoption included teachers’ perceptions of GenAI’s potential to enhance instructional performance and support from social networks. Effort expectancy, however, was less significant in this context. The study also identified sociocultural and institutional challenges as crucial barriers, underscoring the need to address these for sustained AI integration. This research enriches the literature by uncovering enablers and barriers to GenAI adoption, offering valuable insights into the sociocultural and institutional dynamics influencing technology integration in diverse educational settings.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/5582099","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144085364","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":"Parent–Child Relationship and Child Social Competence: The Chain Mediating Effect of Parents’ Awareness of Digital Parenting and Child Digital Game Addiction","authors":"Afaf Mamdouh Mohamed Barakat,&nbsp;Basant Abdelmonem Alham Mahmoud,&nbsp;Shouk Abada Ahmed Elneklawi","doi":"10.1155/hbe2/5563290","DOIUrl":"https://doi.org/10.1155/hbe2/5563290","url":null,"abstract":"<p>One of the most up-to-date and important duties of digital parents is not to ignore the benefits of digital games, which children frequently and zealously use, but to be aware of the harm, and to raise awareness and guide children in this regard. The aim of this study is to investigate the chain mediating effect of parents’ awareness of digital parenting and digital game addiction on the relationships between parent–child and child social competence. Random sampling was used to recruit participants. The study included 480 parents who completed the measures. Digital parenting awareness, social competence in children, and parent–child relationships were considered as variables that directly affect digital game addiction in children. A significant negative relationship was found between digital parenting awareness and digital game addiction. There is a significant negative relationship between social competence and digital game addiction in children. It has been determined that the parent–child relationship directly affects the social competence of the children positively, and the social competence of the children negatively affects digital game addiction. It is concluded that digital game addiction in children has a significant and negative effect on parent–child relationships and social competence in children, directly and indirectly. Parent–child relationships are an important part of the family relationship and a key factor in triggering digital game addiction in adolescents and children. Therefore, improving the quality of parent–child relationships is crucial to reduce excessive media use by children.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/5563290","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144074520","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 Big Data on Online Purchase Behavior: Influencing Factors and Interrelationships in Thailand’s Digital Economy","authors":"Yarnaphat Shaengchart,&nbsp;Nalinpat Bhumpenpein,&nbsp;Tanpat Kraiwanit,&nbsp;Pongsakorn Limna,&nbsp;Tanatorn Tanantong","doi":"10.1155/hbe2/6678231","DOIUrl":"https://doi.org/10.1155/hbe2/6678231","url":null,"abstract":"<p>This research investigates how big data influences online purchasing behavior and identifies the key factors shaping consumer decisions in Thailand. Utilizing a quantitative approach, data were initially gathered from 760 Thai participants through convenience sampling. After a data cleaning process, the final analysis focused on 661 individuals who had experience with online shopping. The study employed statistical tools such as percentages, mean values, and binary logistic regression to analyze the data in depth. The results underscore the important role that media-based product exposure plays in driving online purchases. Additionally, the findings reveal complex interactions among variables such as age, educational background, income level, and frequency of media use. Gaining insight into these dynamics is crucial for businesses, marketers, and related stakeholders seeking to develop effective, targeted strategies in the digital marketplace.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/6678231","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143930251","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":"Exploring VR and Neuroscience Methodologies in Interior Design: A Systematic Review","authors":"Yasemin Albayrak-Kutlay,&nbsp;Murat Bengisu","doi":"10.1155/hbe2/7410855","DOIUrl":"https://doi.org/10.1155/hbe2/7410855","url":null,"abstract":"<p>The intersection of neuroscience and interior design offers innovative methodologies for quantifying human experiences in interiors. This systematic review explores the use of immersive virtual reality (IVR) technologies and biometrics in neuroscience-informed interior design, aimed at evaluating current practices, identifying challenges, and suggesting future directions. This study has three objectives: (1) to examine the current applications of integrated VR/neuroscience methodologies in neuroscience-informed interior design; (2) to investigate the utilization of IVR technologies, devices, and sensors measuring biometrics employed in neuroscience-informed interior design to quantify human experience; and (3) to explore potential future directions in interior design that integrate insights from neuroscientific research findings and methodologies. Using the PRISMA methodology, we searched databases, including Taylor and Francis Online, ProQuest, PubMed, PsycINFO, Web of Science, Scopus, and ScienceDirect, in October 2023, retrieving 164 eligible studies, with 29 reviewed in detail. The risk of bias was assessed by paying attention to randomization, intervention deviations, outcome measurement, and the selection of reported results. The findings highlight the critical role of IVR and biometric analysis in enhancing research validity. However, variability in data reliability and differences between self-assessed and neurophysiological outcomes, particularly in EEG studies, have been noted. Despite these limitations, the reviewed studies present reliable findings, underscoring the potential for interdisciplinary collaboration to address technical challenges. Practical implications include advancing evidence-based interior design and developing tools to capture and interpret human experiences better. This study provides designers with a detailed analysis of IVR and neuroscience methodologies, highlighting tools, outcome measures, and their advantages and limitations. Future research should prioritize deeper insights into human–environment interactions through artificial intelligence (AI), machine learning (ML), and biometric sensors integrated with IVR technologies. These advancements will equip designers with interdisciplinary methods and emerging technologies to create innovative interiors that enhance the quality of life.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/7410855","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143930253","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":"Beyond Transactions: Building Customer Loyalty and Brand Value Cocreation in Vietnamese Financial Apps","authors":"Luan-Thanh Nguyen,&nbsp;Nhi-Tuyet Thi Tran,&nbsp;Tri-Quan Dang,&nbsp;Dang Thi Viet Duc","doi":"10.1155/hbe2/5599209","DOIUrl":"https://doi.org/10.1155/hbe2/5599209","url":null,"abstract":"<p>Enterprises and consumers prefer digital financial product selection through financial app platforms, making Fintech one of the fastest-growing industries. Thus, the study uses gamification’s perceived value and uses and gratification theory to build a research model that examines how hedonic value, utilitarian value, social interaction, binge-playing, and convenient navigability affect customer loyalty and brand value cocreation towards financial app platforms through confirmation and engagement. This study examined data from 330 online questionnaire respondents using partial least square structural equation modeling (PLS-SEM) and artificial neural network (ANN) methods to reveal linear and nonlinear interactions. Utilitarian value, hedonic value, social interaction, and binge-playing increase customer confirmation and engagement, boosting financial app platform customer loyalty and brand value cocreation. ANN analysis shows customer engagement affects brand value cocreation more than customer confirmation. Gamification and uses and gratification theories are combined to study customer confirmation and engagement. This study also provides novel theoretical contributions in Fintech and social science behavior literature and managerial implications for financial app managers.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/5599209","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143930345","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":"Machine Learning–Driven Adaptive Testing: An Application for the MMPI Assessment","authors":"Daiana Colledani,&nbsp;Egidio Robusto,&nbsp;Pasquale Anselmi","doi":"10.1155/hbe2/5146188","DOIUrl":"https://doi.org/10.1155/hbe2/5146188","url":null,"abstract":"<p>This paper aims to examine the effectiveness of machine learning classification algorithms as a strategy to overcome the limitations associated with traditional methods for developing computerized adaptive versions of the Minnesota Multiphasic Personality Inventory-2 (MMPI-2). The focus is on the three scales in the neurotic area of the instrument, namely, hypochondria, depression, and hysteria, which were administered electronically to a nonclinical sample of 383 participants. The findings indicate that a machine learning classifier based on a model tree (ML-MT) algorithm effectively handled the complex MMPI-2 scales, yielding accurate scores while noticeably reducing item administration. In particular, the ML-MT algorithm achieved item savings between 85.99% and 93.78% and produced scores that differed from those of the full-length scales by only 2.5–3.3 points. Compared to the countdown algorithm, the ML-MT algorithm proved to be significantly more efficient and accurate. Furthermore, the ML-MT scores retained their validity, as indicated by correlations with other MMPI-2 scales that were comparable to those obtained with the full-length scales (the average difference between the correlations was less than 0.10). These findings support the potential of the ML-MT algorithm as an effective method for adaptive assessment in the context of the MMPI instruments and other psychometric tools.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/5146188","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143926154","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":"Toward a Gamification Framework for Requirement Elicitation: Insights From a Systematic Literature Review","authors":"Zarsha Nazim,&nbsp;Kashif Ishaq,&nbsp;Atif Alvi,&nbsp;Fadhilah Rosdi,&nbsp;Naeem A. Nawaz,&nbsp;Abdul Basit Dogar","doi":"10.1155/hbe2/3255995","DOIUrl":"https://doi.org/10.1155/hbe2/3255995","url":null,"abstract":"<p>Requirement elicitation is the first and foremost step in project development. A set of quality requirements anticipates utmost diligence as this carries the rest of the project. During requirement elicitation, the involvement and engagement of stakeholders determine the extent of the project’s success. Ensuring constant stakeholder motivation and engagement is challenging and requires adequate measures to keep them ambitious throughout. Gamification is an approach that helps sustain and enhance continuous stakeholder enthusiasm by using concepts and elements that appeal to human psychology. The accurate use of gamified concepts and elements ensures constant stakeholder motivation in requirement elicitation and leads to quality requirement generation by reducing ambiguity. Although the use of gamification has the potential to yield productive results, it is not guaranteed in every case. Therefore, there is a need for a comprehensive study of the characteristics, attributes, and elements of gamification in the context of software project development. This paper attempts to identify this problem, and its study is based on the detailed investigation of 74 research articles. This paper adopts a systematic review approach to previous studies and proposes research based on gamification and its elements and using gamified concepts in industrial software development. This detailed analysis and review assembles data, examines queries, and explores implications to develop a theoretical framework to contribute to the knowledge of the existing body of literature. A valuable contribution is made through the projection of the current standing of gamification in software project development that suggests that further research in contextual specificity of a project’s requirement elicitation step can guarantee successful software by yielding quality results. Overall, gamification has potential if used appropriately in requirement engineering, and its application can potentially revolutionize requirement elicitation for stakeholders and project managers.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/3255995","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879916","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":"Quantifying Visual Navigation in Campus Open Spaces Using a Computer Vision Model","authors":"Nabil Mohareb,&nbsp;Abdelaziz Ashraf","doi":"10.1155/hbe2/8537833","DOIUrl":"https://doi.org/10.1155/hbe2/8537833","url":null,"abstract":"<p>This study presents a framework specifically designed to measure and quantify visual experiences within academic campus environments. The framework addresses the need for quantitative methods to analyze spatial experiences, focusing on key elements of the built environment, such as visible sky, greenery, and spatial enclosure. While the framework emphasizes visual components, it does not aim to analyze broader sensory or emotional experiences. Instead, it establishes a foundation for future research to explore these dimensions comprehensively. The methodology utilizes mobile phones equipped with digital cameras and GPS sensors to capture first-person visual data while participants freely navigate through campus open spaces. Computer vision techniques, including instance segmentation and convolutional neural networks, are employed to categorize architectural and natural elements within each video frame. This process quantifies the proportional composition of visual elements such as greenery, open sky, walkways, buildings, and other structures that participants encounter. The framework is implemented as a Python model that is capable of generating quantitative outcomes. Additionally, the analysis is enhanced by integrating geographic information systems (GISs) for spatial analysis, allowing us to identify navigation and visual engagement patterns. This comprehensive methodology not only quantifies the visual attributes of spaces but also interprets their impact on the behavior and experiences of campus users. This framework offers insights into how navigation choices, visual experiences, and the types of scenes encountered on campus can be understood and analyzed. The results aim to guide urban designers in better understanding university students’ open space needs by exploring the connections between natural movement patterns and visual preferences. This research complements other qualitative approaches, providing a more comprehensive perspective on campus space utilization.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/8537833","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143865897","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":"Empirical Study of Robotic Process Automation: Implementation and Evaluation","authors":"Ali Gunawan,&nbsp;Mahaning Indrawaty Wijaya,&nbsp;Nicolas Andika,&nbsp;Albert Lius","doi":"10.1155/hbe2/2876164","DOIUrl":"https://doi.org/10.1155/hbe2/2876164","url":null,"abstract":"<p>Process automation has been shown to lead to significant improvements in efficiency across industries by automating certain tasks. Robotic process automation (RPA) is one such technology that is being widely implemented to gain a competitive advantage. RPA is a solution that utilizes both software and/or hardware to help humans perform specific tasks, which is currently being implemented widely around the world. To understand what could be automated and measure the impact of automation accurately, it is important to look at the domain of business process management to assess and model current processes and then identify the problem or bottlenecks that can be improved. Besides that, it is also important to measure the impact of the RPA implementation to ensure that it brings the intended benefit. In this paper, the authors present the RPA implementation case that begins with the analysis of the current business process followed by the design and development of the RPA solution. The case that is chosen to be automated takes place in the student service center in one higher education institution. Lastly, the performance analysis is presented to measure the success of RPA implementation.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/hbe2/2876164","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143856745","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}