Acceptance and use behaviour of emerging technology for middle-aged healthy lifestyle.

BACKGROUND: Several studies focus on the use of emerging technologies to support and monitor health but are centred around the elderly group of people. Meanwhile, the average elderly popularly known as the middle-aged have not been put into consideration regarding the subject matter. OBJECTIVE: This article focuses on the use behaviour and acceptance of emerging technologies that can assist in providing a middle-aged population with a healthy lifestyle. METHODS: This study collected the primary data through an online questionnaire survey to empirically evaluate final 169 respondents. The analysis for this study was done utilising SmartPLS software via partial least squares structural equation modelling. RESULTS: The results indicate that 9 out of 11 were tested as supported hypotheses. All supported hypotheses showed the strong relationship between acceptance and user behaviour with emerging technology. CONCLUSION: The experience of acceptance and behaviour of using emerging technology in a healthy lifestyle was found as an important determinant of outcome in preparing the middle-aged for their elderly age by adapting emerging technology as early as possible.

Emerging Technology for Healthy Lifestyle of the Middle-Age and Elderly: A Scoping Review.

Background: Emerging technology research focusing on promoting healthy lifestyles for the middle-aged and elderly is paramount in recent literature. However, limited evidence is available for the middle-aged population. This paper reviews how emerging technologies can help in promoting a healthy lifestyle for the middle-aged and elderly. Methods: A scoping literature review method was employed. Articles were extracted from online databases published within 2010-2021. Overall, 3,152 articles related to the topic were obtained and 2979 articles were archived via different search procedures. Moreover, 173 articles that met the inclusion criteria underwent qualitative synthesize for conclusive inferences. Results: Most studies focused on people aged 60 and up, leaving the middle-aged population under-studied and unprepared to age. Older adults have high technology anxiety and resistance to change. Limited studies are available to support technology-based healthy lifestyle promotion for middle-aged people. The emerging technologies that are useful in promoting healthy lifestyle behavior among middle-aged people include: robotics, virtual reality, wearables, artificial intelligence, smart textiles, as well as centralized health information systems. Conclusion: This review sets as a pace-setter for future research on how emerging technologies can aid in the development of healthy lifestyles for the middle-aged and elderly population, allowing them to live a quality life as they age.

A framework for designing interactive mobile training course content using augmented reality.

Because mobile technology and the widespread usage of mobile devices have swiftly and radically evolved, several training centers have started to offer mobile training (m-training) via mobile devices. Thus, designing suitable m-training course content for training employees via mobile device applications has become an important professional development issue to allow employees to obtain knowledge and improve their skills in the rapidly changing mobile environment. Previous studies have identified challenges in this domain. One important challenge is that no solid theoretical framework serves as a foundation to provide instructional design guidelines for interactive m-training course content that motivates and attracts trainees to the training process via mobile devices. This study proposes a framework for designing interactive m-training course content using mobile augmented reality (MAR). A mixed-methods approach was adopted. Key elements were extracted from the literature to create an initial framework. Then, the framework was validated by interviewing experts, and it was tested by trainees. This integration led us to evaluate and prove the validity of the proposed framework. The framework follows a systematic approach guided by six key elements and offers a clear instructional design guideline checklist to ensure the design quality of interactive m-training course content. This study contributes to the knowledge by establishing a framework as a theoretical foundation for designing interactive m-training course content. Additionally, it supports the m-training domain by assisting trainers and designers in creating interactive m-training courses to train employees, thus increasing their engagement in m-training. Recommendations for future studies are proposed.

Factors influencing open government data post-adoption in the public sector: The perspective of data providers.

Providing access to non-confidential government data to the public is one of the initiatives adopted by many governments today to embrace government transparency practices. The initiative of publishing non-confidential government data for the public to use and re-use without restrictions is known as Open Government Data (OGD). Nevertheless, after several years after its inception, the direction of OGD implementation remains uncertain. The extant literature on OGD adoption concentrates primarily on identifying factors influencing adoption decisions. Yet, studies on the underlying factors influencing OGD after the adoption phase are scarce. Based on these issues, this study investigated the post-adoption of OGD in the public sector, particularly the data provider agencies. The OGD post-adoption framework is crafted by anchoring the Technology-Organization-Environment (TOE) framework and the innovation adoption process theory. The data was collected from 266 government agencies in the Malaysian public sector. This study employed the partial least square-structural equation modeling as the statistical technique for factor analysis. The results indicate that two factors from the organizational context (top management support, organizational culture) and two from the technological context (complexity, relative advantage) have a significant contribution to the post-adoption of OGD in the public sector. The contribution of this study is threefold: theoretical, conceptual, and practical. This study contributed theoretically by introducing the post-adoption framework of OGD that comprises the acceptance, routinization, and infusion stages. As the majority of OGD adoption studies conclude their analysis at the adoption (decisions) phase, this study gives novel insight to extend the analysis into unexplored territory, specifically the post-adoption phase. Conceptually, this study presents two new factors in the environmental context to be explored in the OGD adoption study, namely, the data demand and incentives. The fact that data providers are not influenced by data requests from the agency's external environment and incentive offerings is something that needs further investigation. In practicality, the findings of this study are anticipated to assist policymakers in strategizing for long-term OGD implementation from the data provider's perspective. This effort is crucial to ensure that the OGD initiatives will be incorporated into the public sector's service thrust and become one of the digital government services provided to the citizen.

A user satisfaction model for mobile government services: a literature review.

User satisfaction is essential for the success of an organisation. With the development of government service delivery through mobile platforms, a compatible measurement model must be found to measure user satisfaction with performing such services through a mobile government portal. Measuring user satisfaction with mobile government services is necessary nowadays due to the increasing popularity of smart devices. Research on mGovernment users' satisfaction is lacking, leading to difficulties in understanding users' expectations. In the present study, systematic literature reviews have been used to analyze users' satisfaction with mGovernment portals and propose a comprehensive model compatible with such contexts. The results show that government agencies can evaluate users' satisfaction using the proposed model of six quality constructs: usability, interaction, consistency, information, accessibility, and privacy and security. The study recommends improving the evaluation strategies of mGovernment portals regularly to ensure they fit with challenges. Measuring user satisfaction at mGovernment services encourages the user to perform the transactions through such online platforms, increasing the digitalization process and reducing the cost and efforts for both the service provider and end-users.

Exploring the information quality of mobile government services: a literature review.

This article aims to investigate the constructs that can be used to evaluate the information quality (IQ) of mobile government services. The dimension of IQ is one of the fundamental constructs that assesses the extent of information based on its accuracy, usefulness, and timeliness. Based on the review of previous studies, there is a lack of studies related to mGovernment service quality. It is not practical to measure the service quality of mGovernment by using other measurement scales such as e-service, e-commerce, or e-government. Therefore, it is necessary to understand each dimension that guides constructing a comprehensive framework to measure service quality at mGovernment. The constructs of information quality were extracted from previous literature in mobile government, mobile application service, and e-government to understand the development stages, structure, and unique features-this guide to conduct the systematic literature review to clarify the constructs belonging to the evaluation of information quality. The present article identified six constructs-understandability, timeliness, accuracy, completeness, availability, and usefulness-to measure the information quality of mobile government service. There is limited literature on mGovernment information service quality. With the development of government services on mobile devices, it is necessary to measure information quality at mGovernment service channel to understand users' expectations. The mGovernment service provider benefits from measuring the service quality by improving the strategy and criteria of information at mGovernment portal. In addition, the end-users expect to perform the service with the best quality level of the information supplied and displayed on mGovernment platform.

Exploration of the usability quality attributes of mobile government services: a literature review.

This article investigates and analyzes the usability quality attributes of mobile government services. The lack of previous research in the area of mobile government service quality encourages the researchers of the current work to select the usability quality dimension, which is considered one of the most significant parts of the mobile government service quality framework. Using the systematic literature reviews in the area of usability in human-computer interaction and software design, the main attributes are extracted and analyzed to fit into the context of mobile government services. Five quality attributes of the usability dimensions are identified for evaluation of the quality of services of mobile government. These attributes are efficiency, satisfaction, memorability, error and compatibility. The present research proposes a model that can be used to evaluate the usability of mobile government services. The attributes were extracted according to the mobility features with consideration of the service category (Government-To-Citizens). By measuring the usability quality of the mGovernment portal by the electronic government agencies, it leads to understanding the degree of usability of the provided services from the public's perspective.

Factors influencing the elderly's behavioural intention to use smart home technologies in Saudi Arabia.

In recent years, smart home technologies have offered opportunities for elderly people to manage their daily health-related activities. Despite the advancement in smart home technology (SHT), the level of end-user acceptance among elderly people is still low. This study proposes an SHT framework by examining the determinants of elderly behavioural intention (BI) to use smart home technologies by extending the Unified Theory of Acceptance and Use of Technology (UTAUT) model. This study uses the quantitative approach to survey about 486 elderly people in Saudi Arabia, and it applies the Partial Least Square Structural Equation Model (PLS-SEM) technique to perform the data analysis. Findings reveal that culture influence and technology awareness are significant factors in determining the BI to use SHT among elderly people. The study also finds that attitude mediates the relationships between performance expectancy, effort expectancy, and behavioural intention. We find that region and education moderate the relationships between culture influence, technology awareness, and behavioural intention. This study theoretically extends the UTAUT theory by including external constructs: culture influence, technology awareness, attitude, education, and region.

An Efficient Soft Set-Based Approach for Conflict Analysis.

Conflict analysis has been used as an important tool in economic, business, governmental and political dispute, games, management negotiations, military operations and etc. There are many mathematical formal models have been proposed to handle conflict situations and one of the most popular is rough set theory. With the ability to handle vagueness from the conflict data set, rough set theory has been successfully used. However, computational time is still an issue when determining the certainty, coverage, and strength of conflict situations. In this paper, we present an alternative approach to handle conflict situations, based on some ideas using soft set theory. The novelty of the proposed approach is that, unlike in rough set theory that uses decision rules, it is based on the concept of co-occurrence of parameters in soft set theory. We illustrate the proposed approach by means of a tutorial example of voting analysis in conflict situations. Furthermore, we elaborate the proposed approach on real world dataset of political conflict in Indonesian Parliament. We show that, the proposed approach achieves lower computational time as compared to rough set theory of up to 3.9%.