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The purpose of this study is to investigate the factors, which drive teenagers’ behavioural intention to adopt wearable technologies and their behavioural intention to recommend others.

This study proposes a new adoption model combining two different models including the extended unified theory of acceptance and use of technology and the theory of planned behaviour, which provided relevant contributions for understanding the adoption of wearable technologies. A structural equation modelling approach using analysis of a moment structures 23 software was used to analyse the data collected from 318 respondents.

Findings of this study reveals that performance expectancy (β = 0.28; t = 2.049), facilitating conditions (β = 0.28; t = 1.989), social influence (β = 0.23; t = 3.150) and attitude (β = 0.18; t = 3.246) have a statistically significant impact on behavioural intention. Additionally, behavioural intention (β = 0.15; t = 2.543) and attitude (β = 0.15; t = 3.261) have a statistically significant impact on intention to recommend others. However, effort expectancy, price value, hedonic motivation and habit did not have a significant influence on behavioural intention.

In this study, the understanding of the determinants contributing to teenagers’ behavioural intention to use wearable technologies and driving their intention to recommend others to adopt these devices will provide insights to practitioners and decision makers to customize the features of wearable devices to promote sustainable use of these technologies.

This study is among the first to investigate wearable technologies from behavioural perspectives especially on teenagers in Bangladesh. Hence, the findings of this study will help to comprehensively explain teenagers’ behavioural intention to adopt wearable technologies and their intention to recommend others.

This paper aims to examine how metadata taxonomies in embodied computing databases indicate context (e.g. a marketing context or an ethical context) and describe ways to track the evolution of the embodied computing industry over time through digital media archiving.

The authors compare the metadata taxonomies of two embodied computing databases by providing a narrative of their top-level categories. After identifying these categories, they describe how they structure the databases around specific themes.

The growing wearables market often hides complex sociotechnical tradeoffs. Marketing products like Vandrico Inc.’s Wearables Database frame wearables as business solutions without conveying information about the various concessions users make (about giving up their data, for example). Potential solutions to this problem include enhancing embodied computing literacy through the construction of databases that track media about embodied computing technologies using customized metadata categories. Databases such as FABRIC contain multimedia related to the emerging embodied computing market – including patents, interviews, promotional videos and news articles – and can be archived through user-curated collections and tagged according to specific themes (privacy, policing, labor, etc.). One of the benefits of this approach is that users can use the rich metadata fields to search for terms and create curated collections that focus on tradeoffs related to embodied computing technologies.

This paper describes the importance of metadata for framing the orientation of embodied computing databases and describes one of the first attempts to comprehensively track the evolution of embodied computing technologies, their developers and their diverse applications in various social contexts through media archiving.

Commercial entities (e.g. health and life insurance, airlines and supermarkets) in different countries have recently begun to introduce wearable technology as part of the consumer journey and as a means of enhancing the business value chain. While a firm’s decision to adopt such new technologies as wearable devices is often based on financial factors such as return on investment, costs and impact on profits, consumers may hold a different attitude toward the value of using smart wearables and sharing their personal data as part of their business-client relationships. The purpose of this paper is to investigate consumer perceptions of and reactions to persuaded self-tracking (PST) – a practice in which businesses actively encourage consumers to monitor, collect and share personal biometric data through wearable technologies in exchange for personalized incentives and rewards.

Using a qualitative research approach and a purposeful sampling method, the authors conducted personal in-depth interviews with 24 consumers (both users and non-users of wearable devices). Interviews were recorded and transcribed, resulting in 600 pages of transcripts comprising more than 203,000 words. Data coding and analysis were facilitated by using NVivo.

Consumers’ assessment of PST is based on perceived value-in-use, privacy/security concerns and perceived fairness/justice, resulting in four types of reactions to adopt or use PST (embracing, considering, debating and avoiding). Specifically, the authors identified two individual determinants (intrinsic motivation and extrinsic motivation) and four firm-related determinants (design of wearable device, assurance, transparency and controllability) that influence consumer perceptions of PST.

Results of this study have implications for both vendors of wearable devices and firms trying to leverage smart wearables in their value chains. Identifying consumers’ perceptions, as well as barriers and enablers of acceptance, will help firms to more effectively design and develop wearable device-based services, thus gaining consumer support for using fitness trackers. The primary limitation of the study is that using a thematic analysis method diminishes the generalizability of our findings.

This study addresses an under-researched area: the integration of wearable technologies in a firm’s value chain through the lens of the consumers. This study is one of the first, according to authors’ knowledge, to investigate consumer perceptions of PST.

The purpose of this paper is to investigate consumers’ acceptance and use of sports and fitness wearable devices based on technology readiness (TR). In addition, the technology readiness and acceptance model (TRAM) will be used to investigate consumers’ intention to use sports wearable devices (for simplicity, sports wearable devices will be simplified to the term “sports wearables”).

Convenience sampling was conducted from Korean consumers (n=247). Data were analyzed by partial least squares–structural equation modeling using SmartPLS 3.0.

The results found that positive TR has a positive influence on perceived ease of use (PEOU) and perceived usefulness (PU), and negative TR had a negative influence on PEOU and PU. PEOU had a positive influence on perceived usefulness (PU). Both PEOU and PU led to intention to use sports wearable devices. Also, the multi-group analysis found a positive correlation between TR and PEOU for especially male users.

The findings of this study provide a better understanding of consumers’ behavioral intent to use sports wearables. Particularly, it also provides evidence that the TRAM is an appropriate framework for predicting users’ intention to use sports wearables. This study also stresses the important role of TR in consumers’ psychological processes leading up to the actual use of novel sports wearables.

The fashion sector is complex. It involves multiple actors with distinct and potentially conflicting interests, forming a value ecosystem. Thus, knowing the interested parties and belonging to the fashion sector may be a means to promote technological innovation, such as products with wearables. The purpose of this paper to identify the participants of the fashion ecosystem from the perspective of wearable technologies and develop a conceptual model.

The present work aims to identify the participants (actors) and develop a conceptual model of the fashion ecosystem from the perspective of wearable technologies. The systematic literature review is the recommended method to qualitatively analyze documents and identify the interested parties (actors) in the fashion sector in order to design the proposed conceptual model.

From the studies, the conceptual model of the fashion value ecosystem was designed, and the wearable product was considered its core business. The studies identified addressed ecosystems of fashion value in general but not specific to wearable products and their relations with other complementary industries.

The model was designed using secondary data only. Its validation is relevant through interviews with experts.

In terms of relevance, when conducting a systematic literature review, there were no studies that included wearable technologies in the fashion ecosystems discussed and their relations with other industries. The topic of wearables is an emerging subject that needs further research aiming to insert this technology in productive sectors.

The purpose of this study is to examine diverse risks and barriers that influence customers' attitude leading to their actual use of wearable devices in India. This study used technological literacy as a moderating variable to understand the relationship between barriers and attitudes toward adoption of wearable device.

A survey questionnaire was developed through focused group discussions with field experts. Data were collected through online as well as offline modes. A Google form was created and its weblink was shared with the respondents using wearable devices. Both online as well as offline modes were used for data collection. Several reminders through telephone and revisits were undertaken to approach the respondents.

The results of this study indicated that psychological risk and financial risk emerged strongest barriers of wearable technologies. This was followed by infrastructure barriers and performance risk. The strength of the relationship between technological anxiety and attitudes was lower but still significant. Surprisingly, privacy risk and social risk were not statistically significant. This study also validated the impact of technological literacy as a moderator between risks and attitudes.

This study contributes to the research by validating numerous risks and barriers in the adoption of wearable devices. This study not only offers a novel perspective on researching diverse barriers but also elucidates the moderating role of technological literacy which has not been covered in extant literature.

Adopting an interdisciplinary perspective, the purpose of this paper was to posit an industry-wide technological intervention for hotel housekeeper safety and health through the advancement of wearable technology.

Using the task-technology fit (TTF) model and examples of successful safety and health applications of wearable technologies in the health-care and construction management industries, interventions and future research directions are presented to address workplace hazards experienced by hotel housekeepers.

The fit between a variety of hotel housekeeper user requirements, task demands and wearable functions are explored with justification for the use of wearable devices to improve safety and health-related outcomes.

A research agenda is proposed for the adoption and use of wearables in the hospitality industry with the intention to generate meaningful interventions beyond corporate wellness, and the mitigation of employee privacy concerns to enhance wearable adoption.

Given the importance of consumer safety and health assurance in a post-pandemic business environment, hospitality and tourism organizations should place greater emphasis on protecting front line employees who will be essential in regaining economic viability.

Theoretical and practical foci should move beyond a simplistic view of hospitality and tourism worker safety and health that generally centers on wellness initiatives and other baseline strategies, toward a more holistic view benefitting the hospitality industry.

Extant concerns about hotel housekeeper safety and health, in addition to new concerns and threats in a post-pandemic work environment, are largely understudied and worthy of investigation.

This paper aims to provide a review of different types of non-wearable human identification sensors which can be applied for smart home environment.

The authors performed a systematic review to assess and compare different types of non-wearable and non-intrusive human identification sensors used in smart home environment. The literature research adds up to 5,567 records from 2000 to 2016, out of which 40 articles were screened and selected for this review.

In this review, the authors classified non-wearable human identification technologies into four main groups, namely, object-based, footstep-based, body shape-based and gait-based identification technologies. Assessing these four group of identification technologies showed that the maturity of non-wearable identification is not high and most of these technologies are verified in a lab environment. Additionally, footstep-based identification is the most popular identification approach listed in the literature.

This study contributes to the literature on human identification technologies in several ways. This paper identifies the state-of-the-art regarding non-wearable technologies which can be used in smart home environment. Moreover, the results of this paper can provide a better understanding of advantages and disadvantages of the non-wearable identification technologies.

The subject of this paper is wearable computing technology. The purpose of this paper is to determine its potential in libraries to meet the needs of both users and librarians. The specific goals include: description of the main features of wearable computing from the perspective of its potential usefulness in libraries; analysis of areas of wearable computing use in public institutions; discussion of the potential of wearable computing for library users; and discussion of the potential of wearable computing for librarians to determine its potential in libraries to meet the needs of users and librarians.

The method of subject literature overview was used. The state of research from the period 2008 to 2018 on the use of wearable computing in libraries was established based on a search of selected sources Web of Science, Scopus, Elsevier and Emerald databases and LISTA database.

Wearable computing can be used in many areas of library activities to serve the needs of users and librarians. In the context of services for users, wearable computing can be used, among others, to help users navigate the library, to provide resources in new and interesting forms, and in education and entertainment. For the needs of librarians, additional data provided via wearable devices can accelerate the process of cataloguing resources and increase motivation to work via gamification options and features that make it possible to measure personal work efficiency. Librarians can also use the data obtained wearable computing devices to more quickly track, identify, select and organize resources. As with users, librarians can also use wearable computing in their education.

The paper is a viewpoint based on subject literature. It presents only a sketch of potential wearable computing applications in libraries. The aim of the paper is to initiate further discussion on the possibilities of using wearable devices to improve both services for users and internal library processes. The author’s hope is that the concepts presented here will be tested in practice by librarians, which will allow further development of research on this subject.

The results can be widely used in practice as a framework for the implementation of wearable computing solutions in libraries.

The paper can help to facilitate the debate on the role of the implementation of new technologies in libraries.

The issue of the use of wearable computing has not yet been widely discussed in library and information science journals. In the very few publications on similar topics, only the perspective on the application of new solutions in services for users is presented. This paper also shows the potential for improving libraries’ internal processes with the use of wearable computing.

The development of wearable technology has significantly changed the way people participate in physical activities. The purpose of this paper is to segment users of sports wearable devices based on technology readiness (TR).

Participants comprised a convenience sample of 356 participants using sports wearable devices in South Korea. Cluster analysis was performed to identify clusters of sports wearable users based on their TR (i.e. motivating and inhibiting beliefs regarding technologies). Analysis of variance and post hoc Tukey’s test were used to determine whether there were significant differences among the clusters.

Clustering identified three groups of users of sports wearable devices: Explorers (high motivation, low inhibition), Laggards (low motivation, high inhibition) and Pioneers (high motivation, high inhibition). Each group demonstrated significant differences in TR (i.e. optimism, innovativeness, discomfort and insecurity). It also found that Laggards are more likely to be female and older users (i.e. over 40 years old).

This study explores characteristics of possible market segments and provides a better understanding of user profiles of sports wearable devices. These findings provide insightful implications for marketers of sports wearable devices, who can tailor marketing strategies to each segment. Designers of sports wearable devices can benefit from the user profiles and develop more appropriate products for users.