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This paper aims to investigate the influence of health beliefs and trust by senior adults as associated with the perceived ease of use and perceived usefulness, for the acceptance of smart technology with a focus on smartwatch technology.

Structural equation modeling is used to conceptualize the model using survey data collected from 243 randomly selected senior adults 60+ years of age.

This paper presents that perceived usefulness, perceived ease of use, trust and health belief are direct and indirect predictors of senior adults’ technology acceptance and intention to use smartwatch technology.

The study reveals the moderator effect of social influence on relation between perceived usefulness, perceived ease of use and intention to use. The authors highlight the effect of health belief and trust on perceived usefulness and perceived ease of use and the role of intention to use smartwatch technology.

The authors contribute bridging developers of health technologists and senior adults as end-user perspectives. For marketing of health-care technology products, specifically smartwatch, to seniors, a focus on health beliefs and trust is essential to build, maintain and improve perceived usefulness and perceived ease of use.

The present study contributes empirical evidence to the literature on factors affecting the acceptance of the smartwatch technology by senior adults.

One may categorize assistive technologies for aged care into two types, namely, supportive (helping the elderly with their everyday activities) and empowering (obtaining physical or educational training to help seniors to maintain their capabilities). This paper looks at the impact of this perspective in the adoption of technologies that are used to aid already declined functions in comparison with technologies that are used to empower an elderly person’s capabilities. The purpose of this paper is to extract the factors that influence adoption of assistive technologies among seniors and the theories used in this context.

A systematic literature review was conducted on relevant peer reviewed papers. A preliminary exploratory search was conducted to identify keywords and online databases for the search. A total of 104 papers published since 2000 were analyzed after title, abstract and full text filtering.

The study summarizes and categorizes the factors impacting the adoption of assistive technologies among seniors. The paper analyses the theoretical support utilized by literature and maps the empirical evidence for supportive and empowering technologies.

This research like any other literature review is limited to the search keys. However, the keys have brought to this work from a preliminary search.

The work informs nursing professionals on the process to adopt technologies among seniors. The paper also helps technology developers to design technological products that are easier to adopt for older adults.

It was found that existing adoption theories are able to handle supportive technology adoption mainly because of the direct link between usage and improved functionalities. However due to the indirect effect of empowering technologies, elderlies lag in benefit realization for empowering technologies. This opens avenues of research and requires future work and utilization of new theoretical approaches in this area. The paper indicates propositions, claims and suggested questions for future research in both supportive and empowering technologies.

The evolution of e-health technologies presents promising alternatives for health-care excellence. Despite the benefits arising from mobile e-health (m-health) and wearables technologies, the literature stands many contradictories signs regarding how users accept and engage in using these technologies. This study aims to synthesize the estimations about m-health user acceptance technologies.

A meta-analytic structural equation modeling was carried out using the 778 relationships estimated by 100 previous research. The estimations follow the relations and constructs proposed in the UTAUT2 technological acceptance model.

The results indicate the performance expectancy, effort expectancy, social influence and habit constructs are most important for predicting the behavioral intention of use of m-health technologies. The Latin American users of e-health technologies are still underestimated in the literature.

The study presents a guide to understanding the acceptance process of m-health technologies and delivers a general orientation for developing new m-health devices considering their acceptance by users.

The present study aims at developing an integrated model designed to predict and explain the various factors that influence customers' behavioral intentions to use or not to use one particular SST, i.e. ATM services.

A list of households in a particular Indian city was obtained from the municipal corporation. 268 respondents were contacted using systematic sampling technique. Structural equation modeling was used to demonstrate the stability of the proposed model and to test the hypotheses.

The study finds that bank customers are less innovative and less optimistic to try out new technologies. Usefulness of the technology helps in developing positive attitude towards the technology. Customers' intentions to use technology are significantly affected by their attitude towards the technology.

The present study confines to only two banks and that too limited to the branches of these banks operating in one city only.

Despite extensive use of ATMs, the absence of direct interaction with bank staff has increased customers' apprehensions about the perceived risk. To reduce the customers concern about perceived risk because of security and privacy concerns, the bank should improve the quality of interaction with the customers to alleviate these apprehensions.

Lack of personal interaction generates doubts and queries in the minds of the people, especially those unaware or less aware of these technology-based services. Such a situation is quite prevalent in the developing nations (like India), where still a large number of people are apprehensive about using the latest technologies.

This study aims to identify the essential elements impacting the adoption of blockchain technology (BCT) in supply chain management (SCM) by integrating the technology acceptance and information system success (ISS) models.

Questionnaire-based data was collected from 236 supply chain professionals from Beijing. The proposed research framework was evaluated using structural equation modeling (SEM) by using SPSS 23 and AMOS 24 software.

The empirical findings specify the positive influence of total quality on perceived usefulness and compatibility. Further, perceived ease of use positively influences perceived usefulness, compatibility and behavioral intention. Moreover, perceived usefulness positively impacts compatibility and behavioral intention. Compatibility positively influences behavioral intention. Finally, technology trust was found to be a significant moderator between perceived usefulness and behavioral intention and between perceived ease of use and adoption intention to use BCT in SCM.

This study empirically develops the second-order construct of total quality, representing the ISS model. Furthermore, this study established how the ISS and technology acceptance models influence behavioral intention through compatibility. Finally, this study confirmed the moderating role of technology trust among perceived ease of use, perceived usefulness and behavioral intention.

Wearable health technologies (WHTs) show promise in improving the health and well-being of the aging population because they promote healthy lifestyles. They can be used to collect health information from users and encourage them to be physically active. Despite potential benefits of WHTs, recent studies have shown that older people have low continued use intention toward WHTs. Previous work on this topic is disjointed, and new theoretical viewpoints are required.

The authors propose an enablers and inhibitors perspective to model factors influencing continued use intention of WHTs among the elderly. To test the model, we collected data from Chinese elderly (N = 295) who had prior experience using WHTs.

The study results show that social value is the strongest enabler of continued WHT use, and emotional and epistemic values and device quality also increase use continuance. Inertia and technology anxiety were identified as significant inhibitors. A post hoc importance performance map analysis revealed that while emotional value is a highly significant predictor of continued WHT use, existing WHTs do not stimulate such value in our sample.

The research findings illustrate the importance of incorporating user resistance in technology acceptance studies in general and WHT usage studies in particular. This study contributes by providing an integrative model of technology continued use intention for the elderly along with practical implications for policymakers.

A limited number of prior studies have taken both enablers and inhibitors into account when explaining continued WHT use intention among the elderly. This paper fills this research gap and contributes to the WHT literature by considering both enablers and inhibitors in the same model. Moreover, this study contributes to the ongoing research on WHT, and more broadly, gerontechnology use among the elderly.

The purpose of this paper is to investigate the factors which influence mobile government (m-government) services adoption in India.

Adoption behavior of m-government services by 311 respondents is probed by using a multiple set of constructs drawn from technology acceptance model (TAM), unified theory of acceptance and use of technology (UTAUT), theory of planned behavior (TPB) and hierarchical regression analysis. Specifically, eight hypotheses were tested around constructs like Perceived Usefulness (PU), Perceived Ease of Use (EOU), Compatibility (COM), Trust (T), Influence (I), Self-Efficacy (SE), Facilitating Conditions (FC), Attitude (ATT) and Behavioral Intention to Adopt m-government services (BI).

Results show that PU, EOU, T and ATT were found to have significant influence on the adoption of m-government services. Furthermore, demographic variables (age, marital status, occupation, educational qualification and frequency of using m-government services) were not found to be significant predictors for the adoption of m-government services in India.

While most of the technology adoption studies are focused on commercial activities, studies on internet interfaces vis-à-vis the public services are limited to investigation of e-government services. Besides, there are more studies contextualized in the developed countries as compared to developing countries. Academic research on m-government adoption is scant and the present paper is a significant contribution in the Indian context.

The purpose of this paper is to highlight the factors that aid e-training adoption in the Nigerian civil service.

This paper is based on a review of past literature from databases, reports, newspapers, magazines, etc. The literature recognised the role of perceived cost, computer self-efficacy, availability of resources and perceived support in e-training adoption. Using technology acceptance model (TAM), this paper explained the importance of these variables in e-training adoption in developing country context.

The authors found that the combined role of perceived cost, computer self-efficacy, technological infrastructure, Internet facilities, power supply, organisational support, technical support and government support is critical for e-training adoption in developing countries, particularly in Nigeria. Thus, the authors proposed the combination of these variables which would encourage future research on the use of TAM in technology adoption.

This paper gives an elaboration of the role of computer self-efficacy, perceived cost, availability of resources and perceived support with TAM as base of the framework. This provides researchers the opportunity to test the proposed framework empirically and further suggest other variables that can aid e-training adoption in the context of developing country.

The result of this paper can serve as a guide to managers and policymakers to have a better understanding of the requirements for e-training adoption, especially in developing countries. This will go a long way towards designing good policies that could maximise e-training results.

This paper adds to the existing literature on e-training and TAM with the suggestion of proposed variables.

The purpose of this paper is to describe the perceptions that older people in Argentina have about the use of cell phones and to analyze their influence on user behavior. At the same time, it was intended to analyze whether sociodemographic factors influence these perceptions.

The authors conducted a study with a non-experimental, cross-sectional and cross-correlational design; a non-probabilistic sample of 138 intentionally selected older people was chosen.

The frequency and years of cell phone use, as well as the applications used, are influenced by the perceptions that older people have about cell phone use. In addition, it was found that age, gender and socio-educational level determine the perceptions that older people have about cell phone use.

This research has implications for interventions aimed at improving older people’s functional health. Understanding the perceptions of older people in relation to technology will enable the enhancement of its utility to foster an autonomous lifestyle and social integration in old age.