Senior populations’ attitude towards virtual assistants: A study using extended technology acceptance model

Enterprise Resource Planning (ERP) is an integrated system that has been used in several companies, including this Trading and Distribution Company. The company has implemented an ERP system at a certain time. The implementation of the ERP system not only broken off until the testing phase of the deployment process but also required some periodical analysis to improve the effectiveness. Lack of human resource skills and the business process of the company could be several major problems. Consequently, a specified analysis is needed n terms of improving the implementation of ERP in a company. The purpose of this research is to analyze the critical success factors (CSF) on ERP implementation in the company with the aim of identifying success factors that can be used to improve the performance system implementation, especially the human resource. Extended Technology Acceptance Model (TAM) was adopted to run the analysis. The research used quantitative data analysis in seeking core problems. Several variables defining CSF of ERP has built based on the TAM model. The result indicates that each variable in the model is a critical factor determining the success of the system's implementation. The result of the study could be exemplary guidance to find the CSF on ERP implementation.

ERP (Enterprise Resource Planning) is an integrated information system that can accommodate information system needs specifically for different departments in a company. The use of ERP makes all systems within a company into a system that is integrated with one database so that some departments become easier in sharing data and communication. PT. Toyota Astra Motor is a company that has implemented an ERP system since 2000, but the success rate is still around 75% and 25% failure. Therefore, this study was designed to analyze what are the determinants of success that can be used as reference materials to make PT. Toyota Astra Motor is a better company and can improve the sales and customer service system. To analyze the determinants of the success of ERP implementation at PT. Toyota Astra Motor researchers used the Extended Technology Acceptance Model (TAM) 2 model to integrate the combined Technology Acceptance Model and the IS success model. This study uses quantitative design with hypotheses and analyzes using IBM AMOS software. Based on the results of the study using the Extended Technology Acceptance Model (TAM) 2 to find out success factors it is known that the influential variables are job relevance, compatibility, perceived ease of use, perceived usefulness, function, internal support and intention to use, which means if the variable can be used as a determining factor for the success of ERP implementation by PT. Toyota Astra Motor.

Cognitive interaction with virtual assistants: From philosophical foundations to illustrative examples in aeronautics

Virtual personal assistants (VPAs) like Siri and Alexa have become common objects in households. Users frequently rely on these systems to search the internet or help retrieve information. As such, it is important to know how using these products affect cognitive processes like memory. Previous research suggests that visual speech perception influences auditory perception in human-human interactions. However, many of these VPAs are designed as a box or sphere that does not interact with the user visually. This lack of visual speech perception when interacting with a VPA could affect the human interaction with a system and their retention of information such as determining how many ounces are in a cup or how to greet someone in another language. This poses the question of whether the design of these VPAs is preventing the ability of users to retain the information they get from these systems. To test this, we designed an experiment that will explore interactions between user memory and either a traditional audio presentation (as is found with Siri or Alexa, for example) or one that allows for visual speech perception. Participants were asked to listen to an audio clip of a nonsensical story. In one condition, participants were asked to listen while looking at a blank screen (analogous to the lack of visual feedback inherent when working with current VPA designs). After a block of 25 audio clips, the participants took a test on the information heard. This process was repeated with an animated face with synchronized mouth movements instead of a black screen. Other participants will experience the same two presentations, but in reverse order as to counterbalance condition presentation. Data collection is currently underway. We predicted that VPA paired with synchronized lip movement would promote visual speech perception and thus help participants retain information. While we are still collecting data, the trend currently does not show a significant difference between audio and lip movement conditions. This could be an indication of differing abilities in lipreading.

Acceptance of internet banking system among potential young users is crucial to commercial banks to ensure sustainability of banks’ businesses. While the importance of acceptance of young users towards information systems has been recognized in the marketing literature and information system studies, the conceptualization and empirical validation of the behavioral intention of Information and Communication Technology (ICT) literate users for Malaysia’s internet banking context has not been addressed. This paper describes a conceptual model for examining acceptance of internet banking system among potential young users, specifically future ICT professionals. A conceptual model was developed to examine the effects of computer self- efficacy (CSE) and extended technology acceptance model (TAM) on the behavioral intention (BI) of young users to use the internet banking systems. Using stratified random sampling procedure, data were obtained from 281 undergraduate ICT students in a Malaysia’s public university. The result revealed that perceived usefulness (PU), perceived ease of use (PE) and perceived credibility (PC) of extended TAM affect respondents’ intention to use the internet banking systems. PE was found to have stronger influence than PU and PC on BI. The findings unveiled that indirect relationships existed between CSE and BI through PU, PE and PC of TAM. These results validated that CSE and the three variables of TAM were well adopted in predicting individual responses, including young users, to information technology systems. Three implications of these findings were highlighted for future researches and managerial action.

This study expands upon Fred Davis' Technology Acceptance Model (TAM) by incorporating two external variables, perceived enjoyment and self-efficacy, to investigate the factors influencing social media users' adoption of generative AI for health misinformation fact-checking. A survey was conducted to 515 Chinese social media users, focusing on their perceptions concerning the application of generative AI in fact-checking. Notably, 79.8% of the survey participants(n=411)reported having utilized generative AI for fact-checking at least once before. Statistical analysis revealed positive correlations among perceived usefulness, perceived ease of use, perceived enjoyment, and self-efficacy in relation to users' expectations of generative AI’ effectiveness in fact-checking. This study support the notion that TAM serves as a viable framework for predicting social media users' acceptance of generative AI technologies. Furthermore, the implications of this research could provide valuable insights for software developers and researchers, enhancing their comprehension of the determinants that affect user acceptance of emerging technologies. The study also offers suggestions for future research directions in this domain.

What drives mobile commerce? An empirical evaluation of the revised technology acceptance model

Asynchronous online learning has gained great popularity in higher education, especially due to the recent COVID-19 pandemic. However, few studies have investigated how to maintain students’ continuous usage intention of asynchronous online courses in the context of higher education. This study incorporated four key factors (intrinsic motivation, extrinsic motivation, perception of multiple sources, and cognitive engagement) associated with students’ continuous usage intention of asynchronous online courses into technology acceptance model (TAM) to identify the influencing factors on students’ continuous usage intention. A survey with 325 college students was conducted to explore their continuous usage intention of asynchronous online courses and structural equation modeling analysis was carried out to analyze the relationships between the key influencing factors and students’ continuous usage intention. The results showed that cognitive engagement was the only factor that directly related to continuous usage intention. Intrinsic motivation, extrinsic motivation, and perception of multiple sources indirectly correlated with students’ continuous usage intention through different pathways. The results of the study have several theoretical and practical implications. Theoretically, the study verified what key learning factors incorporated into TAM and in what way they relate to the continuous usage intention of asynchronous online courses. Practically, the present study indicated that it is required to take intrinsic motivation, extrinsic motivation, perception of multiple sources, cognitive engagement and TAM into consideration when designing and conducting asynchronous online learning courses to ensure college students’ continuous usage intention of asynchronous online courses.

Digital maps have become important teaching and learning tools in education. However, limited research has examined the factors influencing learners’ acceptance of map-based online learning systems. This study proposes and validates an extended Technology Acceptance Model (TAM) that integrates two psychological constructs—habit and self-efficacy—into the original TAM framework to better explain students’ behavioural intention to use a map-based online learning system (Map-OLS). Structural equation modelling (SEM) was employed to analyse data from 812 participants with prior online learning experience. The results indicated that perceived ease of use (PEoU) and perceived usefulness (PU) had direct positive effects on the behavioural intention to use Map-OLS. PEoU positively affected PU and indirectly influenced behavioural intention to use Map-OLS via PU. Both habit and self-efficacy had significantly positive influences on PEoU and PU. Self-efficacy also directly influenced the behavioural intention to use Map-OLS. This study makes a theoretical contribution by extending and empirically validating TAM in the context of map-based learning environments, while also offering practical insights for designing more engaging and effective online learning systems.

The design of Knowledge management adoption depicts similarity to the design proposed in 'Technology Acceptance Model (TAM)' and 'Extended Technology Acceptance Model (TAM2)' holding varied adoption enablers, suggested by Davis 1989. The purpose of this paper is to identify the relationship between KM adoption enablers and demographic variables prevalent in Indian ITES organizations within Delhi NCR. Due to ordinal nature of data, 'multiple-ordinal regression' was applied. The demographic variables are considered independent while KM adoption variables/enablers are considered dependent for this research. The outcomes from of 'multiple-ordinal regression' showcase that maximum number of statistically significant outcomes were in case of the KM adoption enabler 'Perceived Usefulness' holding likelihood of lower cumulative scores in most cases with lowest scores from the independent variables '18-28 years' age group and 'Admin' department. This research study has proposed a knowledge management adoption framework for Indian ITES organization that can be used as guidelines to develop KM adoption and augmentation strategies.

With the rapid development of artificial intelligence technology, AI assistants are gradually penetrating daily life and work. However, the internal mechanism of their user acceptance still needs to be further explored. Therefore, this study is based on the Technology Acceptance Model (TAM), introducing three external variables, Aesthetic Pleasure (AP), Information Quality (IQ), and AI Skills (AIS), to construct an extended model to explore the acceptance of AI assistants by Chinese users and its influencing factors. The results showed that aesthetic pleasure, information quality, and AI skills significantly affect perceived usefulness and ease of use by analyzing questionnaire survey data from 363 Chinese users and using structural equation modeling (CB-SEM) to validate hypotheses. AI skills, perceived usefulness, and perceived ease of use significantly affect behavioral intention. Notably, aesthetic pleasure and information quality do not affect behavioral intention. This study provides theoretical support for the design of AI assistants, helping designers and developers understand users' needs and preferences to better design AI assistants.

Analysis of adopting an integrated decision making trial and evaluation laboratory on a technology acceptance model

This study uses Extended Technology Acceptance Model (ETAM) to predict University Management Information System (UMIS) acceptance amongst postgraduate students. A model for UMIS acceptance is used to examine how various factors (technical support, and computer literacy) modified from Technology Acceptance Model (TAM) influence acceptance and its antecedents. This model is examined through an empirical study using structural equation modeling techniques. Results shows that perceived usefulness, perceived ease to use, technical support, and computer literacy were significant determinants of postgraduate students’ UMIS acceptance. The current research found that a strong positive relationships between the technical support and the usage of IU (UMIS).

Mobile health (mHealth) applications are widely valued for their potential to increase self-management among older adults and reduce their healthcare demands. However, the intention to use mHealth of Dutch older adults before the COVID-19 pandemic was modest. Healthcare access was considerably reduced during the pandemic and mHealth services substituted for in person health services. As older adults utilize health services more frequently and have been particularly vulnerable to the pandemic, they can be viewed to have especially benefitted from the transition toward mHealth services. Furthermore, one might expect their intention to use these services and reap the potential benefits has increased, especially during the pandemic. The aim of this study was to examine whether the intention of Dutch older adults to use medical applications increased during the COVID pandemic and how the explanatory power of the extended Technology Acceptance Model (TAM) developed for this purpose was affected by the onset of the pandemic. We conducted a cross-sectional survey using two samples collected before (n = 315) and after (n = 501) the onset of the pandemic. Data was collected using questionnaires which were distributed digitally and on paper, by convenience sampling and snowballing. Participants were 65 years or older, lived independently or in a senior living facility, without cognitive impairment. A controlled analysis was performed to test for significant differences in the intention to use mHealth. The before and after differences in extended TAM variables and their relationship with intention to use (ITU) were analyzed using controlled (multivariate) logistic and linear regression models. These models were also used to explore whether the onset of the pandemic had an effect on ITU not captured by the extended TAM model. While the two samples differed in ITU (p = 0.017; uncontrolled) there was no statistically significant difference in ITU in the controlled logistic regression analysis (p = 0.107). The scores of the extended TAM variables explaining intention to use were all significantly higher, except for Subjective norm and Feelings of Anxiety. The relationships of these variables with intention to use before and after the onset of the pandemic were similar, except for Social relationships which lost its significance. We found no indications of effects of the pandemic on intention to use not captured by our instrument. The intention to use mHealth applications of Dutch older adults has not changed since the onset of the pandemic. The extended TAM model has robustly explained intention to use, with only minor differences after the first months of the pandemic. Interventions targeting facilitation and support are likely to promote the uptake of mHealth. Follow-up studies are needed to investigate whether the pandemic has had long term effects on the ITU of the older adult.

Purpose: This study explores the impact of augmented reality (AR) technology on purchase intention in Indonesia. By integrating the AR experience framework with an extended Technology Acceptance Model (TAM), the research examines how five dimensions of the AR experience—sensory experience (SE), emotional experience (EE), thinking experience (TE), action experience (AE), and related experience (RE)—affect perceived ease of use (PEOU) and perceived usefulness (PU), which subsequently influence purchase intention (PI), with attitudinal ambivalence (AA) as a mediating factor.Method: A quantitative, cross-sectional survey was conducted with 300 Indonesian respondents, aged 18 to 60, who were recent users of the AR Sephora Virtual Artist. Data were collected through an online questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM).Result: Findings reveal that the dimensions of the AR experience positively impact PEOU and PU, which subsequently negatively influence AA. PU also directly fosters positive PI, while PEOU does not. Importantly, AA negatively affects PI, underscoring its critical role in consumer decision-making.Practical Implications for Economic Growth and Development: This research offers valuable insights for retailers to optimize AR implementation, thereby enhancing consumer engagement and driving purchase intention. Improving AR usability and effectiveness can reduce consumer uncertainty, strengthen market adoption, and advance digital commerce in the beauty industry.Originality/Value: This study uniquely integrates AA into existing AR adoption models and combines the AR experience framework with an extended TAM, providing novel theoretical contributions to AR in retail and insights into consumer behavior.