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This paper aims to explore factors impacting wearable fitness tracking (WFT) device continued usage intention from perspectives of technology attributes (autonomy benefits), health attributes (self-health management benefits, diet-control benefits and health self-efficacy), and consumer attributes (age, gender, technological innovativeness, symbolic benefits, social benefits and hedonic benefits).

The study integrates constructs from the technology acceptance theories and the health promotion model to develop the research model and hypothesis. The empirical analysis was conducted using data from 217 respondents from India. Logistic regression was used to identify factors that discriminate between groups with low and high continued usage intentions.

Results indicate higher continued usage intention for WFT devices is driven by perceived benefits-health, autonomy, social and hedonic, and individual characteristics-technological innovativeness and perceived health self-efficacy. Further, perceived symbolic benefits, diet control benefits, age, and gender does not discriminate between the groups with low and high continued usage intentions.

The results may be limited to the context of the sample and the factors considered. The study suggests future research areas.

The paper offers insights for marketers, governments, insurance firms, and related healthcare services on promoting higher usage of WFT devices to yield dual benefits of preventive healthcare and higher profitability.

The study extends existing research by examining factors across consumer, health, and technological domains in a single framework and adds to the limited research in the context of usage of WFT devices in developing countries.

The purpose of this study is to investigate the relationships among determinant (ease of use), extrinsic (usefulness) and intrinsic motivations (enjoyment), attachment and usage intention regarding seniors’ use of mobile devices for tourism. In addition, this study examines the moderating role of knowledge in these relationships.

The researchers collected data via online surveys to reach the target population of this study, 55 years and older adults who had used mobile devices for tourism. The researchers used the partial least squares approach for this study.

The results reveal that ease of use has significant effects on extrinsic and intrinsic motivations. The motivations of usefulness and enjoyment significantly affect attachment, which, in turn, influences usage intention. The relationships between ease of use and usefulness, ease of use and enjoyment and enjoyment and attachment were stronger for the high-knowledge group than for the low-knowledge group. The relationship between usefulness and attachment was stronger for the low-knowledge group than for the high-knowledge group.

The findings of this study provide compelling implications for academics and practitioners in the senior tourism field.

The compelling insight of this study is the development of a research model that combines an emergent construct of attachment as a mediator and knowledge of technology as a moderator.

The purpose of this paper is to identify the antecedents of continued usage intentions in the connected devices ecosystem in health care by analyzing the users' and physicians' expectations in a new ecosystem where one prefers to connect digitally rather than physically.

This is a unique study in which data was collected from 242 doctors and 215 end-users to gauge the expectations from the connected devices in health care. Further, these responses were hypothesised using UTAUT-2 and ECT theories to analyze general users’ and professional users’ or doctors’ expectations for continued usage in connected devices ecosystem in the health-care ecosystem.

Performance expectancy, social influence, facilitating conditions and price value emerged as significant predictors of satisfaction in both user groups. But habit and hedonic motivation reflected an insignificant impact on user satisfaction. Surprisingly, effort expectancy emerged as a significant factor for end-user satisfaction, and this became insignificant for professional user satisfaction. Satisfaction was positively related to continued usage for both user groups, and app quality has a positive impact on all the predictors.

To the best of the authors’ knowledge, this is the first comparative study to understand the factors which influence consumer behavior leading to a holistic model and can be imbibed for creating a better customer experience in an era where we are more comfortable connecting digitally rather than physically.

This study has used the Unified Theory of Acceptance and Use of Technology-2 model and expectation confirmation theory to analyze the key factors influencing the intentions for continued usage of devices in the Internet of Medical Devices setup.

The present study aims to clarify the following two research objectives: (1) the user behavior of government websites during the coronavirus disease (COVID-19) period and (2) how the government improved government's website design during the COVID-19 period.

The authors used website analytics to examine usage patterns and behaviors of the government website via personal computer (PC) and mobile devices during the COVID-19 pandemic. In-depth interviews were conducted to understand the user experience of government website users and to gather users' opinions about how government websites should be redesigned.

With the rising of the COIVID-19 pandemic, most studies expect that the use of government websites through a mobile device will grow astonishingly. The authors uncovered that the COVID-19 pandemic did not increase the use of government websites. Instead, severe declines in website usage were observed for all device users with the declines being more pronounced in mobile device users than in PC users. This is an admonitory caveat that reveals public health and pandemic prevention information announced on government websites cannot be effectively transmitted to the general public through official online platforms.

The study highlights the gap in information behavior and usage patterns between PC and mobile device users when visiting government websites. Although mobile devices brought many new visitors, mobile devices are ineffective in retaining visitors and continuous long-term use. The results of localize experience is helpful in the improvement of government website evaluation worldwide.

Notwithstanding the novelty and importance of wearable fitness devices, few studies have focussed on comparing the drivers of adoption and usage of wearable fitness in the context of developing countries. This study aims to explore factors that drive overall acceptance of wearable fitness devices in developing countries (India and the Philippines) and whether the impact of these factors on the intention to adopt (INT) differs by country and gender.

The study extends the existing body of knowledge by developing a model that integrates the impact of various perceived benefits (health, autonomy, social, hedonic, symbolic), health self-efficacy (HEALTHSE) and individual characteristics (technological innovativeness [TI]) on the INT wearable fitness devices and the moderating impact of country and gender. The analysis was carried out using partial least square and data of 343 respondents.

This study finds that the INT wearable fitness devices by consumers in developing countries are positively impacted by hedonic, health and autonomy, HEALTHSE and TI. Symbolic and social factors do not have any significant impact on the overall INT wearable fitness devices. However, there are country and gender-specific differences that are consequential to the development of marketing strategies.

The framework and results are specific to the two countries and limited by convenience sampling. Future research can focus on replication across different countries and extend the model with additional contextual factors such as perceived risks.

To the best knowledge of the authors, this is one of the few studies to examine and compare the drivers of adoption of wearable fitness devices in lesser researched developing countries. Also, it is one of the few studies to compare the moderating impact of country and gender in the context of the INT wearable devices. The study provides a theoretical and methodological foundation for future research, as well as practical implications for global companies developing and promoting wearable fitness devices.

The purpose of this paper is to investigate the use contexts of personal computing devices in multiple steps and conducts an in-depth analysis for the use context of smartphones. The determinants of use context changes of smartphones are investigated using the technology-to-performance chain model.

In steps 1 and 2, a diary study method and 2014-2015 Korea media panel research data provided by the Korea Information Society Development Institute are used. Correspondence analysis, χ² independence tests, and standardized residual analyses were conducted. In step 3, this study develops and validates a framework for use context changes using a survey method and structural equation modeling.

The results show that the use context of personal computing devices is represented differently and is clearly defined depending on the device used. Furthermore, the use context of smartphones has changed significantly because of the rapid growth of smartphone users and diverse usage patterns of smartphones. The research model results show that users expand the scope and frequency of smartphone use when they experience improved performance in everyday tasks and feel that smartphone content and functions could support everyday tasks better.

This study presents novel early stage research and presents empirical evidence and propositions in both exploratory and confirmatory ways. The main contribution of this study is to provide guidelines and general implications for other empirical studies on the use contexts of devices or information technology services.

The purpose of this paper is to investigate the information security behavior of mobile device users in the context of data breach. Much of the previous research done in user information security behavior have been in broad contexts, therefore creating needs of research that focuses on specific emerging technologies and trends such as mobile technology.

This study was an empirical study that gathered survey data from 390 mobile users. Delphi study and pilot study were conducted prior to the main survey study. Partial Least Square Structural Equation Modeling was used to analyze the survey data after conducting pre-analysis data screening.

This study shows that information security training programs must be designed by practitioners to target the mobile self-efficacy (MSE) of device users. It also reveals that practitioners must design mobile device management systems along with processes and procedures that guides users to take practical steps at protecting their devices. This study shows the high impact of MSE on users’ protection motivation (PM) to protect their mobile devices. Additionally, this study reveals that the PM of users influences their usage of mobile device security.

This study makes theoretical contributions to the existing information security literature. It confirms PM theory’s power to predict user behavior within the context of mobile device security usage. Additionally, this study investigates mobile users’ actual security usage. Thus, it goes beyond users’ intention.

The distant data centre-centric Internet of Things (IoT) systems face the latency issue especially in the real-time-based applications, such as augmented reality, traffic analytics and ambient assisted living. Recently, Fog computing models have been introduced to overcome the latency issue by using the proximity-based computational resources, such as the computers co-located with the cellular base station, grid router devices or computers in local business. However, the increasing users of Fog computing servers cause bottleneck issues and consequently the latency issue arises again. This paper aims to introduce the utilisation of Mist computing (Mist) model, which exploits the computational and networking resources from the devices at the very edge of the IoT networks.

This paper proposes a service-oriented mobile-embedded Platform as a Service (mePaaS) framework that allows the mobile device to provide a flexible platform for proximal users to offload their computational or networking program to mePaaS-based Mist computing node.

The prototype has been tested and performance has been evaluated on the real-world devices. The evaluation results have shown the promising nature of mePaaS.

The proposed framework supports resource-aware autonomous service configuration that can manage the availability of the functions provided by the Mist node based on the dynamically changing hardware resource availability. In addition, the framework also supports task distribution among a group of Mist nodes.

The purpose of this study is to examine how the usage of mobile devices influences text-posting behavior in the online review-generation process. This study attempts to improve the understanding of the negative impacts of mobile channels on the quality of online reviews.

The authors develop a series of hypotheses to investigate the text-posting behaviors with mobile device usage. To examine the authors' hypotheses, the authors collect online reviews posted in London hotels on Booking.com. The authors first use a logistic regression model to examine the relationship between the usage of mobile devices and text-posting behavior. Then, the authors explored the characteristics of textual content in mobile reviews compared to reviews written via traditional devices.

The authors' finding shows that the use of mobile devices negatively influences text-posting behavior. Compared to traditional devices, consumers are less likely to post texts in their reviews with mobile devices. Although consumers decide to post text comments in consumers' reviews, the quality of textual content is relatively low – short in length, with limited analytical thinking and less authenticity.

To the best of the authors' knowledge, no study has attempted to explore text generation in review-posting behaviors in the context of mobile channels. Also, the authors' findings show the negative effects of using mobile channels on the value of generated information, which is counterintuitive to previous research.

The purpose of this study is to explore how tourists use connected mobile devices such as smartphones to manage their tourist experience.

A multi-method, cross-sectional approach was used consisting of questionnaires about tourists self-reported use of connected mobile devices and recorded observations of tourists' interaction with their devices.

Respondents who reported a more intense use of their connected mobile devices also reported a heightened tourist experience. Specifically, high users reported more intense emotions and expressed the belief that using their device improved the quality of their vacation. More extensive use of connected mobile devices was also linked to the perception that waits for attractions and restaurants were shorter.

While the data and methods employed do not allow for testing of causality, the field research approach provides the benefit of high ecological validity, complementing previous studies on this topic.

Commercial service providers should explore ways to stimulate the use of devices, for instance by offering information about the attraction, or by providing an attractive setting for tourists taking photos. This contributes to shorter time perception and improved visitor evaluations.

Tourists' use of connected mobile devices to manage their tourist experience varies in terms of quality and intensity. Findings show that travelers know how to use their smartphones in a way that best suit their information and social needs.