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The purpose of this paper is to identify the key psychological determinants of smart watch adoption (i.e. affective quality (AQ), relative advantage (RA), mobility (MB), availability (AV), subcultural appeal) and develops an extended technology acceptance model (TAM) that integrates the findings into the original TAM constructs.

An online survey assessed the proposed psychological determinants of smart watch adoption. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were conducted on collected data (n=363) using the AMOS 22 statistical software. The reliability and validity of the measurement assessing the proposed factor structure were examined via CFA, while the strength and direction of the hypothesized causal paths among the constructs were analyzed via SEM.

The AQ and RA of smart watches were found to be associated with perceived usefulness, while the sense of MB and AV induced by smart watches led to a greater perceived ease of the technology’s use. The results also indicated that the devices’ subcultural appeal and cost were notable antecedents of user attitude (AT) and intention to use, respectively.

Though smart watches are becoming increasingly popular, empirical studies on user perceptions of and ATs toward – them remain preliminary. This paper is one of the first scholarly attempts at a systematic prediction of smart watch usage, with implications for the adoption of future wearable technology.

To develop the case, the authors used secondary sources including company annual reports, industry reports, news articles, social media sites, academic journal articles and company websites. This case has been classroom tested with students in the MBA Program and Master of Science in Management and Technology Program, and with undergraduates in an operations management course.

Movado Group, which has been a fierce competitor in the luxury watch market, has been facing unprecedented challenges posed by consumers’ enthusiasm for smartwatches and by their love of shopping online. The arrival of the COVID-19 pandemic has intensified these problems and brought new setbacks. This case examines these challenges to the company’s current business model. It then explores opportunities that could transform Movado into an innovative, digitally oriented organization capable of reaching consumers in a dynamic market while combating intense competition from the smart wearable devices that threaten traditional watch companies. The case also discusses the importance of building a robust supply chain through the lens of Industry 4.0 to guard against future supply chain disruptions.

Instructors can use this case in operations and supply chain management classes at the undergraduate and graduate levels. The focus of the case aligns with discussions of supply chain management and Industry 4.0. In particular, the case uses supply chain innovation theory to investigate the implications of Industry 4.0 in the watch industry and dovetails into discussions of omni-channel experience and virtual reality in retail that integrate multiple points of contact to reach consumers efficiently.

The purpose of this paper is to show the current state of methods for information visualization on wearable devices and demonstrate how these devices and methods can be used to support the work of aircraft maintenance engineers. This paper develops a path to make aircraft maintenance tasks more efficient and safe by providing relevant and important information to maintenance personnel matching the task they are currently working on.

The current researchers elaborate prerequisites that wearable computing devices have to meet to use them in aircraft maintenance. Based on these prerequisites the researchers evaluate such existing devices and visualization techniques with regard to how they can be used to visualize information in aircraft maintenance processes.

This paper elaborates a roadmap how wearable devices can be applied in future aircraft maintenance scenarios. It also shows that augmented reality (AR) is a technology that shows great potential to support aircraft maintenance staff. The current researchers develop a scenario, how AR applications on wearable devices support such tasks.

The implementation of the maintenance scenario that is developed in this paper will vastly reduce the possibilities of mistakes by maintenance personnel. This leads to more efficient maintenance processes and further increases the safety of aviation in general.

Although AR today already is used in fields of application like gaming, an application of this technology in a safety-critical environment is not known to the author. This paper provides a step towards extending the application domains of this technology to aircraft maintenance.

The case will help learners to analyse how effective handling of an extended marketing mix of 7Ps (product, price, place, promotion, physical evidence, participants and processes) makes a startup profitable in its initial years of inception; understand the significance of the online marketing strategies like digital marketing and social media marketing implemented by firms to attain a competitive edge amongst established local and global competitors; examine the strategic challenges faced by a business enterprise while entering an emerging market; analyse the growth strategies of a startup relative to various market constraints; and propose long-term strategies for sustainable growth for a startup operating in the wearables market.

Founded in 2016, Boat Lifestyle is a Delhi-based Indian startup in fashionable consumer electronics. In the past five years, Boat earned remarkable profits and emerged as one of the most promising startups through its innovative products offerings and promotion. Aiming at its target customer segment, the millennials, it promoted its products through social media marketing such as influencer marketing and brand tie-ins with sports teams and music events. The case focuses on the dynamics of the Indian wearables market that is facing tough competition from global and local players. To ensure continued growth prospects, while maintaining a tight focus on product differentiation, quality, and customer satisfaction, there is a greater need for Boat to rethink its market development and growth strategies regarding new innovations and adopting long-term orientation like diversification and global expansion.

The case aims for teaching business management students at the Undergraduate, Postgraduate, and Executive education level. In addition, the case can be related to the Strategic Management course curriculum and Marketing course curriculum.

Teaching notes are available for educators only.

CSS 11: Strategy

Devices for step estimation are body-worn devices used to compute steps taken and/or distance covered by the user. Even though textiles or clothing are foremost to come to mind in terms of articles meant to be worn, their prominence among devices and systems meant for cadence is overshadowed by electronic products such as accelerometers, wristbands and smart phones. Athletes and sports enthusiasts using knee sleeves should be able to track their performances and monitor workout progress without the need to carry other devices with no direct sport utility, such as wristbands and wearable accelerometers. The purpose of this study thus is to contribute to the broad area of wearable devices for cadence application by developing a cheap but effective and efficient stride measurement system based on a knee sleeve.

A textile strain sensor is designed by weft knitting silver-plated nylon yarn together with nylon DTY and covered elastic yarn using a 1 × 1 rib structure. The area occupied by the silver-plated yarn within the structure served as the strain sensor. It worked such that, upon being subjected to stress, the electrical resistance of the sensor increases and in turn, is restored when the stress is removed. The strip with the sensor is knitted separately and subsequently sewn to the knee sleeve. The knee sleeve is then connected to a custom-made signal acquisition and processing system. A volunteer was employed for a wearer trial.

Experimental results establish that the number of strides taken by the wearer can easily be correlated to the knee flexion and extension cycles of the wearer. The number of peaks computed by the signal acquisition and processing system is therefore counted to represent stride per minute. Therefore, the sensor is able to effectively count the number of strides taken by the user per minute. The coefficient of variation of over-ground test results yielded 0.03%, and stair climbing also obtained 0.14%, an indication of very high sensor repeatability.

The study was conducted using limited number of volunteers for the wearer trials.

By embedding textile piezoresistive sensors in some specific garments and or accessories, physical activity such as gait and its related data can be effectively measured.

To the best of our knowledge, this is the first application of piezoresistive sensing in the knee sleeve for stride estimation. Also, this study establishes that it is possible to attach (sew) already-knit textile strain sensors to apparel to effectuate smart functionality.

Most scholarly and governmental discussions about artificial intelligence (AI) today focus on a country’s technological competitiveness and try to identify how this supposedly new technological capability will improve productivity. Some discussions look at AI ethics. But AI is more than a technological advancement. It is a social question and requires philosophical inquiry. The producers of AI who are software engineers and designers, and software users who are human resource professionals and managers, unconsciously as well as consciously project direct forms of intelligence onto machines themselves, without considering in any depth the practical implications of this when weighed against human actual or perceived intelligences. Neither do they think about the relations of production that are required for the development and production of AI and its capabilities, where data-producing human workers are expected not only to accept the intelligences of machines, now called ‘smart machines’, but also to endure particularly difficult working conditions for bodies and minds in the process of creating and expanding the datasets that are required for the development of AI itself. This chapter asks, who is the smart worker today and how does she contribute to AI through her quantified, but embodied labour?

Schools have a significant role in ensuring children's wellbeing as children spend a lot of time at school. Students need to have an active role in their learning and an opportunity to participate in issues concerning wellbeing and studying. This research examines students' wellbeing in an innovative learning environment. The classroom is built with professionals, teachers and students (aged 9). The authors call it Learning Ground.

Students' wellbeing was measured with smart device application for a six-week period. Students answered the questionnaire with a Likert scale of five (very poor – excellent) responses. Two weeks during the six weeks research period, students were able to use digital study aids, EEG-biosensor headsets, to observe the effectiveness of their learning, defined by NeurSky app. The EEG-biosensors enabled students to use a tool to recognise their own learning factors during the lessons. The effectiveness was available to students via tablets all the time.

The students at the Learning Ground are satisfied with wellbeing and the environment support for students' wellbeing experience is notable. They have “good vibes” before and after the school day. When wearing EEG-headsets “study aids”, which enabled them to observe their learning via tablets at lessons, the wellbeing experience in the mornings even increased.

Schools need to be visionaries concerning 21st century learning and children's wellbeing. Building flexible learning environments and bringing innovative technologies into schools to provide active support for students will enable 21st century learning. Wellbeing of children should become first when developing the future schools.

Following the increasing trend of artificial intelligence (AI) research in hospitality literature, this critical reflection paper aims to identify AI-assisted mindfulness as a critical yet under-investigated issue and to contribute feasible directions for future research.

The authors first conceptualize a framework explaining the effects of mindfulness design in AI interventions on improving human mindfulness. The authors then identify opportunities for interventions in AI-assisted mindfulness for the tourism, hospitality and events industries. Finally, the authors propose potential themes for AI-assisted mindfulness research.

This study contributes three major conceptual works. First, we conceptualize a framework of AI-assisted mindfulness, showcasing that the scope of AI-assisted mindfulness spans from AI interventions to state mindfulness and then to trait mindfulness. Second, the authors offer two approaches to strategic thinking, one from mindfulness (i.e. mindfulness-focused niche markets and activities) and one from AI applications (i.e. AI-facilitated devices and platforms), to identify opportunities for AI-assisted mindfulness interventions. Third, for both management- and marketing-oriented AI-assisted mindfulness research, the authors propose 18 themes.

This critical reflection paper offers directions for future knowledge creation in AI-assisted mindfulness in the tourism, hospitality and events industries.

To the best of the authors’ knowledge, this critical reflection paper serves as the first in hospitality and tourism literature to systematically propose the research issue of AI-assisted mindfulness, offering directions and themes for future research.

COVID-19 was indeed a global epidemic that revolutionized the way of life, especially health-care services. The way health care will be delivered will undergo a dramatic change in the future. The aim is to analyse the increasing usage of health care systems along with digital technology and IoT especially during pandemic.

This research paper deals with users’ perception and their recommendation status of IoT-based smart health-care monitoring devices based on their perception, experience and level of importance to enhance the quality of life. An effective artificial neural networking (ANN)-based predictive model is designed to classify the user’s perception of usage of IoT-based smart health-care monitoring wearables based on their experience and knowledge.

The model developed has 96.7% accuracy. Among the various predictors chosen as inputs for the model, the findings indicate that self-comfort and trusted data from the device are of high priority. The present study focused only on some common factors derived from previous studies.

Although the performance of the proposed system was noticed to be good, the size of the sample is also limited to a few responses. Implications for future research and practices are discussed.

This is a novel study that aims to develop an ANN model on analyzing the user’s perception of IoT-based smart health-care wearables with the effect of COVID-19 pandemic. This paper elaborates on the ongoing efforts to restart the health-care services for survivability in the new normal situations.