Search Results (1,520)

This paper examines the risks linked to E-business collaboration between China and West Africa, with particular emphasis on Ghana as a pivotal digital commerce centre. This research employs the Hesitant Fuzzy Best–Worst Method (HF-BWM) to systematically identify and prioritise the institutional, technological, sociocultural, and legal issues affecting cross-border e-business operations. This study combines Transaction Cost Theory (TCT), the Technology Acceptance Model (TAM), and Commitment–Trust Theory to create a comprehensive framework for analysing the interplay of these risks and their effects on transaction costs and company sustainability. The findings indicate that institutional risks constitute the most substantial obstacles, with deficient digital transaction legislation and inadequate data governance recognised as the principal drivers of uncertainty and increased transaction costs. The research indicates that these institutional challenges necessitate immediate focus, as they immediately affect corporate operations, especially in international digital commerce. Technological risks, such as cybersecurity vulnerabilities, insufficient IT skills, and deficiencies in digital infrastructure, were identified as the second most critical factors, leading to considerable operational disruptions and heightened expenses. Sociocultural hazards, such as language difficulties and varying consumer behaviours, were recognised as moderate concerns that, although significant, exert a weaker cumulative impact than technological and institutional challenges. Eventually, legal risks, especially concerning cybercrime legislation and the protection of intellectual property, were identified as substantial complicators of e-business activities, increasing the intricacy of legal compliance and cross-border contract enforcement. The results underscore the imperative for regulatory reforms, investments in cybersecurity, and methods for cultural adaptation to alleviate the identified risks and promote sustainable growth in China–West Africa e-business relationships. This study offers practical insights for governments, business leaders, and investors to effectively manage the intricate risk landscape and make educated decisions that foster enduring collaboration and trust between China and West Africa in digital trade. Full article

This paper introduces a compact analog configuration that concurrently realizes a mixed-mode biquadratic filter and a dual-mode quadrature oscillator (QO) by employing a single differential differencing gain amplifier (DDGA) and all-grounded passive components. The proposed design supports four fundamental operation modes—voltage-mode (VM), current-mode (CM), trans-impedance-mode (TIM), and trans-admittance-mode (TAM)—utilizing the same circuit topology without structural modifications. In filter operation, it offers low-pass, high-pass, band-pass, band-stop, and all-pass responses with orthogonal and electronic pole frequency and quality factor. In oscillator operation, it delivers simultaneous voltage and current quadrature outputs with independent tuning of oscillator frequency and condition. The grounded-component configuration simplifies layout and enhances its suitability for monolithic integration. Numerical simulations in a 0.18-μm CMOS process with ±0.9 V supply confirm theoretical predictions, demonstrating precise gain-phase characteristics, low total harmonic distortion (<7%), modest sensitivity to 5% component variations, and stable operation from −40 °C to 120 °C. These results, combined with the circuit’s low component count and integration suitability, suggest strong potential for future development in low-power IoT devices, adaptive communication front-ends, and integrated biomedical systems. Full article

Artificial intelligence (AI) is reshaping customer service, with AI-powered chatbots serving as a critical component in delivering continuous support across sales, marketing, and service domains, thereby enhancing operational efficiency. However, consumer engagement remains suboptimal, as many users favor human interaction due to concerns regarding chatbots’ ability to address complex issues and their perceived lack of empathy, which subsequently reduces satisfaction and sustainable usage. This study examines the determinants of user attitude and identifies factors influencing sustainable chatbot use. Utilizing survey data from 735 Chinese university students who have engaged with AI-powered chatbots, the analysis reveals that four key motivational categories: utilitarian (information acquisition), hedonic (enjoyment and time passing), technology (media appeal), and social (social presence and interaction) significantly influence user attitude toward chatbot services. Conversely, privacy invasion exerts a negative impact on user attitude, suggesting that while chatbots provide certain benefits, privacy issues can significantly undermine user satisfaction. Moreover, the findings suggest that user attitude serves as a pivotal determinant in fostering both user stickiness and sustainable usage of chatbot services. This study advances prior U&G-, TAM-, and ECM-based research by applying these frameworks to AI-powered chatbots in business communication, refining the U&G model with four specific motivations, integrating perceived privacy invasion to bridge gratification theory with risk perception, and directly linking user motivations to business outcomes such as attitude and stickiness. This study underscores that optimizing chatbot functionalities to enhance user gratification while mitigating privacy risks can substantially improve user satisfaction and stickiness, offering valuable implications for businesses aiming to enhance customer loyalty through AI-powered services. Full article

Compared to non-smart communities, smart communities expand the boundaries of community management and provide a platform for the deep integration of fitness and health. However, a single-entity governance model reduces the management efficiency of smart communities and hinders the realization of fitness-health integration within them. A collaborative governance model involving governments, businesses, social organizations, and residents replaces the traditional linear governance model that relies on a single entity through resource integration. This study, based on collaborative governance theory, employs three scenario-based experimental designs and quantitative analysis, with Xiamen’s smart city community and non-smart urban village community as research subjects. It explores the multistakeholder collaborative governance model for the deep integration of fitness and health, compares the differences in fitness-health integration between smart communities and non-smart communities, and measures the effectiveness differences between multistakeholder collaborative governance and single-entity governance models. The findings indicate: (1) Residents in smart communities have higher satisfaction with comprehensive fitness-health services; (2) Residents in smart communities perceive shorter psychological distances when engaging in fitness-health activities compared to non-smart environments; (3) The governance model moderates the impact of psychological distance on service satisfaction. Compared to the single-actor model, multiactor collaborative governance more effectively enhances perceived psychological proximity and improves satisfaction. The research findings contribute theoretically to advancing understanding of collaborative governance theory while expanding the application of the technology acceptance model (TAM) and the construal level theory in the context of community governance. Practically, they offer insights for public policymakers to optimize resource allocation and for community managers to strengthen digital governance. Full article

This paper presents the design and evaluation of a sound-driven robot quiz system that enhances fairness and engagement in educational human–robot interaction (HRI). The system integrates a real-time sound-based first-responder detection mechanism with gamified multimodal feedback, including verbal cues, music, gestures, points, and badges. Motivational design followed the Octalysis framework, and the system was evaluated using validated scales from the Technology Acceptance Model (TAM), the Intrinsic Motivation Inventory (IMI), and the Godspeed Questionnaire. An experimental study was conducted with 32 university students comparing the proposed multimodal system combined with sound-driven first quiz responder detection to a sequential turn-taking quiz response with a verbal-only feedback system as a baseline. Results revealed significantly higher scores for the experimental group across perceived usefulness (M = 4.32 vs. 3.05, d = 2.14), perceived ease of use (M = 4.03 vs. 3.17, d = 1.43), behavioral intention (M = 4.24 vs. 3.28, d = 1.62), and motivation (M = 4.48 vs. 3.39, d = 3.11). The sound-based first-responder detection system achieved 97.5% accuracy and was perceived as fair and intuitive. These findings highlight the impact of fairness, motivational feedback, and multimodal interaction on learner engagement. The proposed system offers a scalable model for designing inclusive and engaging educational robots that promote active participation through meaningful and enjoyable interactions. Full article

The effective use of nursing assistant robots requires an understanding of key acceptance factors. The study examined the differences in attitudes among 58 nursing students while performing ambulation tasks with and without an Adaptive Robotic Nursing Assistant (ARNA) robot. An ARNA is driven by tactile cues from the patient through a force–torque-measuring handlebar, whose signals are fed into a neuro-adaptive controller to achieve a specific admittance behavior regardless of patient strength, weight, or floor incline. Ambulation tasks used two fall-prevention devices: a gait belt and a full-body harness. The attitude toward the robot included perceived satisfaction, usefulness, and assistance, replacing the perceived ease-of-use construct found in the standard technology acceptance model. The effects of external demographic variables on those constructs were also analyzed. The modified technology acceptance model was validated with the simultaneous estimation of the effects of perceived usefulness and assistance on satisfaction. Our analysis employed an integrated hierarchical linear mixed-effects regression model to analyze the complex relationships between model variables. Our results suggest that nursing students rated the ARNA’s performance higher across all model constructs compared to a human assistant. Furthermore, male subjects rated the perceived usefulness of the robot higher than female subjects. Full article

(1) Background: Mobile populations living in disadvantaged circumstances often face disrupted continuity of care due to incomplete or inaccessible health records. This feasibility study explored the perceived usefulness of Electronic Personal Health Records (EPHRs) in enhancing access to and continuity of care for mobile populations across Denmark, Ghana, Kenya, and The Netherlands. (2) Methods: A qualitative study using ninety semi-structured interviews, with multi-level stakeholders ranging from policymakers to mobile individuals, recruited through purposive and convenience sampling. Interview guides and analysis were informed by the Technology Acceptance Model (TAM), and analysis by the Unified Theory of Acceptance and Use of Technology (UTAUT). (3) Results: Stakeholders highlighted the value of improved medical data sharing and ownership and considered EPHRs promising for enhancing care continuity and efficiency. Key concerns included limited digital and health literacy, and data security and privacy, underscoring the need for education and safeguards against inappropriate data sharing. Due to differences in digital readiness and privacy guidelines, a one-size-fits-all EPHR is unlikely to succeed. (4) Conclusions: EPHRs are considered valuable tools to enhance care continuity and increase patient ownership, but they face technical, structural, and social challenges, including data security and varying levels of digital (health) literacy. Successful implementation requires context-sensitive, co-created solutions supported by strong policy frameworks. Full article

To promote the sustainable development of urban smart transportation systems, this study constructs a structural equation model (SEM) based on the Technology Acceptance Model (TAM), incorporating extended variables including social influence, environmental awareness, privacy concerns, and service similarity to investigate users’ behavioral intentions toward Mobility as a Service (MaaS). The research systematically examines key factors influencing user adoption behavior and their underlying mechanisms, providing theoretical foundations and practical guidance for optimizing MaaS system design and policy making. Using SEM as the core analytical framework, this study employs mediation analysis, moderation analysis, and multigroup comparison to empirically examine the direct and indirect effects among variables, as well as group heterogeneity. Data were collected through an online questionnaire survey, with Analysis of Variance (ANOVA) applied to identify the differential impacts of demographic and travel behavior characteristics on users’ intentions and related psychological constructs, thereby supporting precise user segmentation and evidence-based policy interventions. Key findings include the following: (1) Social influence, ease of use, and environmental awareness boost MaaS adoption, while privacy concerns hinder it. (2) Freelancers/self-employed weaken the positive effects of usefulness, ease of use, and social influence on adoption. (3) Service similarity and ease of use effects vary significantly between single-mode and multimodal commuters. The findings extend the theoretical boundaries of TAM and provide both theoretical and practical support for the development of sustainable urban transportation systems. Full article

Augmented Reality (AR) has emerged as a promising educational tool, offering new opportunities to enhance learning through immersive and interactive experiences. This study aimed to evaluate the degree of acceptance of AR by secondary school students using the Technology Acceptance Model (TAM) as the theoretical framework. A quasi-experimental post-test design was implemented with a sample of 321 students (ages 14–17) who engaged with ComputAR, a mobile AR application developed specifically for a didactic unit on computer systems. Data were collected through a validated TAM questionnaire encompassing five dimensions: “perceived usefulness”, “perceived ease of use”, “perceived enjoyment”, “attitude towards using”, and “behavioural intention to use”. The results indicate a high level of acceptance of AR-based educational tools. Significant differences were found in “perceived ease of use” depending on gender, with male students reporting higher ease, while no gender differences emerged in “perceived usefulness” or “behavioural intention”. Additionally, ICT previous experience was shown to positively affect “perceived enjoyment”, ease of use, and usefulness. In conclusion, these findings confirm the relevance of AR for fostering student motivation and engagement. Full article

The mechanisms involved in the regeneration of biliary epithelial cells (BECs) after liver injury remain unclear. In this study, we employed KRT19Cre^ERT/LSL-tdTomato (KT) mice and KT/TFF1KO mice to clarify the regeneration and cell fate of BECs via lineage tracing. Tamoxifen (TAM) was administered to the mice to label cytokeratin 19 (CK19)-positive BECs. The mice were subsequently fed a choline-deficient, ethionine-supplemented (CDE) diet for four weeks, after which the mouse livers were analyzed. Whereas the proportion of tdTomato⁺ cells in CK19-positive BECs decreased in the KT mice, it remained high in the KT/TFF1KO mice. Then, we analyzed hepatic progenitor cells (HPCs), the possible source of BECs. Although tdTomato-labeled HPCs were rarely found in the pretreatment mice, they were frequently found in the KT/TFF1KO mice after the CDE diet, suggesting the dedifferentiation of tdTomato-labeled BECs to HPCs. These results indicate not only that the loss of TFF1 accelerates the dedifferentiation of BECs into HPCs but also that HPCs are the source of BECs in TFF1KO mice. In addition, tdTomato-labeled HNF4α-positive hepatocytes were frequently found in the KT/TFF1KO mice, revealing the transdifferentiation of BECs to hepatocytes. The role of TFF1 as an inducer of biliary differentiation might be useful in the treatment of patients with hepatic or biliary dysfunction. Full article

In the tumor microenvironment, various immune and stromal cells, such as fibroblasts and vascular endothelial cells, contribute to tumor growth and progression by interacting with cancer cells. Tumor-associated macrophages (TAMs) have attracted attention as major players in the tumor microenvironment. The origin of TAMs is believed to be the infiltration of monocytes derived from bone marrow progenitor cells into tumor tissues and their differentiation into macrophages, whereas tissue-resident macrophages derived from yolk sacs have recently been reported. TAMs infiltrating tumor tissues act in a tumor-promoting manner through immunosuppression, angiogenesis, and the promotion of cancer cell invasion. Reflecting the nature of TAMs, increased TAM invasion and TAM-specific gene expression in tumor tissues may be the new biomarkers for cancer. Moreover, new therapeutic strategies targeting TAMs, such as transformation into immunostimulatory macrophages, suppression of TAM infiltration, and promotion of phagocytosis, are being investigated, and many clinical trials are underway. As the origin and function of TAMs are further elucidated, TAM-targeted therapy is expected to become a new option for the immunotherapy of various cancers, including oral cancers. Full article

Promoting low-carbon travel modes is crucial for China’s transportation sector to achieve the dual carbon goals. When exploring the mechanisms behind individuals’ travel decisions, the relationships between factors such as the built environment and transportation policies are often derived from prior experience or subjective judgment, rather than being grounded in a solid theoretical foundation. In this paper, we build on and integrate the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM) by introducing built environment perception (BEP), encouraging policy perception (EPP), and restrictive policy perception (RPP) as either perceived ease of use (PEOU) or perceived usefulness (PU). The integration aims to explain how the latent variables in TPB and TAM jointly affect low-carbon travel intention. We conduct a traveler survey in Shanghai, China to obtain the data and employ a structural equation modeling (SEM) approach to characterize the latent mechanisms. The SEM results show that traveler attitude is the most critical variable in shaping low-carbon travel intentions. Perceived ease of use has a significant positive effect on perceived usefulness, and both constructs directly or indirectly influence attitude. As for transportation policies, encouraging policies are more effective in fostering voluntary low-carbon travel intentions than restrictive ones. Considering the heterogeneity of the traveling population, differentiated policy recommendations are proposed based on machine learning modeling and SHapley Additive exPlanations (SHAP) analysis, offering theoretical support for promoting low-carbon travel strategies. Full article

This study investigates user acceptance of the IBON Monitoring system, a mobile app that uses image recognition to identify bird species. Using the Technology Acceptance Model (TAM), it surveyed 100 faculty and students at Romblon State University to assess factors like perceived usefulness, ease of use, computer literacy, and self-efficacy. Results showed that usefulness and ease of use significantly influence user attitudes and intentions. The findings suggest actionable recommendations for improving IBON system adoption, including training programs to enhance computer literacy and self-efficacy and strategies to demonstrate the system’s relevance to user needs. Future research should explore additional external factors, such as cultural influences and user experience design, and conduct longitudinal studies to assess sustained use and impact on biodiversity monitoring outcomes. This study underscores the importance of fostering user acceptance to maximize the potential of innovative technologies like IBON Monitoring in advancing biodiversity conservation efforts. Full article

Multisystemic Therapy (MST) is an intensive family and community-based treatment targeting antisocial behaviours in adolescents. Treatment fidelity has proved crucial for successful implementation of the MST intervention, with prior research demonstrating a strong association with positive and enduring treatment outcomes. The Therapist Adherence Measure (TAM) is a standardised measure reported by caregivers and comprised of 28 items based on the nine treatment principles of MST. Several randomised control trials have confirmed that therapist adherence to the MST model is a valid predictor for a reduction of antisocial behaviours in adolescents. However, there is limited understanding of mechanisms by which therapist model adherence is related to positive changes in family relations and association with decreased adolescent behavioural problems. In this retrospective study, we evaluated effects of therapist adherence on changes in parental factors (e.g., parental mental well-being, monitoring and discipline approach) which in turn were associated with decreased behavioural problems in adolescents. We extracted data collected from 186 families engaged with the MST research program operating within the Western Australian Child and Adolescent Mental Health Service (CAMHS) during 2018–2024. Data for TAMs were collected monthly during treatment, and family outcome measures were collected at pre-treatment and post-treatment. The finding highlights the importance of therapists maintaining treatment fidelity and addressing treatment barriers throughout MST intervention to ensure the desired therapeutic outcomes. Full article

Verbal nouns in Insular Celtic languages have long been a subject of interest because they are capable of exhibiting both nominal and verbal properties, posing a persistent challenge when it comes to determining their precise categorization. This study therefore seeks to examine the intersective gradience of verbal nouns in Scottish Gaelic from a functional-typological and multidimensional perspective, providing an insight into the interaction between their morphosyntactic, semantic, and pragmatic properties and their lexical categorization, and, consequently, encouraging a broader discussion on linguistic gradience. This hybrid category plays a central role in the clause structure of Scottish Gaelic, as it appears in a wide range of distinct grammatical constructions. Drawing on a range of diagnostic tests revealing the morphosyntactic and semantic properties of verbal nouns across various contexts (e.g., etymology, morphological structure, inflection, case marking, TAM features, syntactic function, types of modification, form and position of objects, distributional patterns, cleft constructions, argument structure, subcategorization, etc.), this line of research identifies two key environments, depending on whether the construction features a verbal noun functioning either as a verb or a noun. This distinction aims to illustrate the way in which these contexts condition the gradience of verbal nouns. By doing so, it provides strong evidence for their function along a continuum ranging from fully verbal to fully nominal depending on their syntactic context and semantic and pragmatic interpretation. In conclusion, the findings of this study suggest that the use of verbal nouns blurs the line between two lexical categories, often displaying mixed properties that challenge a rigid categorization. Full article