Iskanje po katalogu digitalne knjižnice

Opis: Objectives: To evaluate the impact of different types of demonstrations (no demonstration, video demonstration, and face-to-face demonstration) on nurses’ acceptance, trust, and ethical considerations regarding socially assistive robots. Methods: The study employed a quasi-experimental design involving 312 nurses: 201 with no exposure to socially assistive robots, 97 exposed via video demonstrations, and 14 exposed through live face-to-face demonstrations in a hospital room. Participants completed self-report measures assessing their perceptions of ethical acceptability, trust, and acceptance of socially assistive robots. Results: Participants exposed to any kind of demonstration reported significantly higher perceptions of ethical acceptability compared to those with no exposure. Among demonstration types, live face-to-face demonstrations resulted in higher overall ethical acceptability, satisfaction, and acceptance compared to video demonstrations. Conclusions: Demonstrations, particularly face-to-face interactions, play a crucial role in fostering ethical acceptability and overall acceptance of socially assistive robots. These findings highlight the importance of incorporating live demonstrations in strategies to improve healthcare professionals’ trust and acceptance of robotic technology.
Ključne besede: ethical acceptability, acceptance, socially assistive robots, nurses, quasi experimental study
Objavljeno v DKUM: 29.05.2025; Ogledov: 0; Prenosov: 1
Celotno besedilo (7,33 MB)

Opis: V magistrskem delu smo proučevali interakcije med pešci in avtonomnimi vozili (AV) ter stališča javnosti do sprejemanja avtonomnih vozil. S pomočjo spletne ankete smo analizirali mnenja 108 udeležencev glede varnosti, zanesljivosti in sprejemljivosti AV. Rezultati so pokazali previdnost in zadržanost pri sprejemanju te tehnologije, zlasti glede varnosti ranljivih udeležencev v prometu. Poleg ankete smo izvedli tudi eksperiment sledenja pogledu, kjer smo primerjali odzive pešcev pri prečkanju prehoda pred avtonomnim in navadnim vozilom (NV). Ugotovili smo, da pešci potrebujejo več časa za odločitev o prečkanju prehoda pred avtonomnim vozilom kot pred navadnim vozilom, kar kaže na povečano previdnost in negotovost. Te ugotovitve kažejo na potrebo po izboljšanju varnostnih sistemov in komunikacije med avtonomnimi vozili in pešci.
Ključne besede: pešci, avtonomna vozila, prometna varnost, eye-tracking, gap acceptance
Objavljeno v DKUM: 14.11.2024; Ogledov: 0; Prenosov: 35
Celotno besedilo (6,87 MB)

Opis: PLS-SEM has been used recently more and more often in studies researching critical factors influencing the acceptance and use of information systems, especially when the technology acceptance model (TAM) is implemented. TAM has proved to be the most promising model for researching different viewpoints regarding information technologies, tools/applications, and the acceptance and use of information systems by the employees who act as the end-users in companies. However, the use of advanced PLS-SEM techniques for testing the extended TAM research models for the acceptance of enterprise resource planning (ERP) systems is scarce. The present research aims to fill this gap and aims to show how PLS-SEM results can be enhanced by advanced techniques: artificial neural network analysis (ANN) and Importance–Performance Matrix Analysis (IPMA). ANN was used in this research study to overcome the limitations of PLS-SEM regarding the linear relationships in the model. IPMA was used in evaluating the importance and performance of factors/drivers in the SEM. From the methodological point of view, results show that the research approach with ANN artificial intelligence complements the results of PLS-SEM while allowing the capture of nonlinear relationships between the variables of the model and the determination of the relative importance of each factor studied. On other hand, IPMA enables the identification of factors with relatively low performance but relatively high importance in shaping dependent variables.
Ključne besede: traditional PLS-SEM, artificial neural network (ANN) analysis, Importance–Performance Matrix Analysis (IPMA), ERP system acceptance, TAM model
Objavljeno v DKUM: 09.07.2024; Ogledov: 103; Prenosov: 18
Celotno besedilo (2,52 MB)
Gradivo ima več datotek! Več...

Opis: Drawing on the Technology Acceptance Model (TAM), this research aims to investigate the impact of social, environmental, and technological barriers on adopting the last-mile logistics application. This research used a self-administrative questionnaire to collect 1060 respondents from the Egyptian market and analysed it using partial least square structural equation modeling. The findings revealed that some elements could obstruct the implementation of last-mile delivery technologies, namely complexity, collaboration efforts between users and application developers and the impact of technical knowledge and expertise on the potentially involved users. The sharing economy helps organisations reduce contaminants, emissions and carbon footprints, and last-mile logistics is one of the tools of the sharing economy that can enhance the productivity and competitiveness of logistics and boost consumer fulfillment. This research will help enhance organisations’ performance in Egypt as a developing country and push towards applying environmental sustainability practices, as it introduces a tool to enhance customer satisfaction and reduce emissions by illustrating how last-mile logistics can be implemented. This is particularly important as last-mile logistics face some implementation barriers, especially in developing countries. In addition, it will help in extending the theory through conceptualising its abstract ideas with the research variables and applying it in a different context.
Ključne besede: technology acceptance model, technology implementation barrier, last-mile delivery, sustainability, sharing economy, structural equation modelling
Objavljeno v DKUM: 15.12.2023; Ogledov: 545; Prenosov: 43
Celotno besedilo (1,04 MB)
Gradivo ima več datotek! Več...

Opis: Background and purpose: Despite their clear relevance to human life, microchip implants are still widely viewed as negative, threatening our privacy and raising growing concerns about our health. This paper aims to investigate the important factors influencing people’s perception of microchip implants and their willingness to use them for different purposes. Methodology: The cross-sectional study was conducted in three European countries and the data were analysed using the group Structural Equation Modeling approach. Only complete answers to the online survey questionnaire items were used representing a convenience sample of 804 respondents. Results: The results show that perceived ease of use, usefulness and perceived trust are significant predictors of intention to use microchip implants. Perceived trust is influenced by privacy and technology safety. Concerns about painful procedures and other health concerns reduce the perceived usefulness of microchip implants. Apart from the predictor health concerns, the results were similar in all countries. Conclusion: Based on the presented results, researchers interested in investigating the actual use of microchip implants can establish a solid foundation for their research. The results may assist policy makers in developing the regulations to ensure the safe use of microchip implants and allow for a higher level of security. As a follow-up, investigation of changes in the acceptance of microchip implants following the threat of a global pandemic is proposed.
Ključne besede: microchip implant, near field communication, behavioural intentions, structural equation model, technology acceptance model
Objavljeno v DKUM: 15.09.2022; Ogledov: 582; Prenosov: 23
Celotno besedilo (1,04 MB)
Gradivo ima več datotek! Več...