Search results

The proliferation of smartwatches in the digital age has radically transformed health and fitness management, offering users a multitude of functionalities that extend beyond mere physical activity tracking. While these modern wearables have empowered users with real-time data and personalized health insights, their environmental implications remain relatively unexplored despite a growing emphasis on sustainability. To bridge this gap, this study extends the UTAUT2 model with smartwatch features (mobility and availability) and perceived security to understand the drivers of smartwatch usage and its consequent impact on environmental sustainability.

The proposed theoretical model is evaluated based on data collected from 303 smartwatch users using a hybrid structural equation modeling–artificial neural network (SEM-ANN) approach.

The PLS-SEM results supported smartwatch features’ effect on performance and effort expectancy. The results also supported the role of performance expectancy, social influence, price value, habit and perceived security in smartwatch usage. The use of smartwatches was found to influence environmental sustainability significantly. However, the results did not support the association between effort expectancy, facilitating conditions and hedonic motivation with smartwatch use. The ANN results further complement these outcomes by showing that habit with a normalized importance of 100% is the most significant factor influencing smartwatch use.

Theoretically, this research broadens the UTAUT2 by introducing smartwatch features as external variables and environmental sustainability as a new outcome of technology use. On a practical level, the study offers insights for various stakeholders interested in smartwatch use and their environmental implications.

The purpose of this study is to gain a better understanding of the adoption of smartwatches. Specifically, the robustness of the perceived characteristics of innovation (PCI) model in predicting such adoption is demonstrated. Previous smartwatch research has not used this same technology adoption model. This research demonstrates the value of examining the adoption of wearables and other new technologies (i.e. smartwatches) with the new approach of PCI while avoiding some of the limitations of previous studies.

A survey of 178 respondents was conducted, and the data was analyzed using structured equation modeling and partial least squares. The model described here extends the models used in extant smartwatch research by identifying additional factors.

The results show that three factors (compatibility, trialability and relative advantage) significantly impact behavioral intention to adopt the technology.

With the escalation of remote work, the increase in wearable technology and the widespread use of Wi-Fi technology, the way that employees adopt and use their technology must be reassessed. Therefore, a new approach was sought with an established theoretical base to evaluate the adoption of smartwatches under these evolving circumstances. Specifically, Moore and Benbasat’s characterization of the PCI was selected, which is rooted in Rogers’ diffusion of innovation theory.

This study aims to determine how Internet of Things (IoT) risks and benefits affect both the intention to use and actual use of a smartwatch.

The stimulus–organism–behavior–consequence (SOBC) hypothesis is used to explain the mechanisms underpinning the discontinuity between intention and technology usage. A total of 394 questionnaires distributed to smartwatch users were analyzed, using convergent analysis, discriminant analysis and structural modeling.

The IoT’s technical features, such as continuous connectivity and real-time value, serve as effective stimuli for smartwatches, positively influencing individuals’ responses and behavioral consequences associated with smartwatch usage. While IoT risks such as data, performance and financial have no negative relationship with the usefulness of smartwatches, data and financial risks have a negative influence on their ease of use. Additionally, as ease of use and usefulness have a positive impact on intention to use, users’ behavior is positively influenced by their intentions to use a smartwatch.

The study applies technology acceptance theory and the SOBC paradigm to smartwatches to determine if users’ intentions to use them impact their behavior. Furthermore, the research analyzed the technical elements of smartwatches in terms of IoT advantages and risks.

El objetivo del presente estudio es determinar cómo los riesgos y beneficios del Internet de las Cosas afectan tanto a la intención de uso como al uso real de un smartwatch.

Se utiliza el modelo Estímulo-Organismo-Comportamiento-Consecuencia (SOBC) para explicar los mecanismos que sustentan la discontinuidad entre la intención y el uso de la tecnología. Se analizaron 394 cuestionarios distribuidos a usuarios de smartwatches, empleando análisis convergente, análisis discriminante y modelización estructural.

Las características técnicas del IoT, como la conectividad continua y el valor en tiempo real, sirven como estímulos efectivos para los smartwatches, influyendo positivamente en las respuestas de los individuos y en las consecuencias conductuales asociadas al uso del smartwatch. Mientras que los riesgos de la IO, como los datos, el rendimiento y los financieros, no tienen una relación negativa con la utilidad de los smartwatches, los riesgos de los datos y los financieros influyen negativamente en su facilidad de uso. Además, dado que la facilidad de uso y la utilidad tienen un impacto positivo en la intención de uso, el comportamiento de los usuarios está positivamente influenciado por sus intenciones de usar un smartwatch.

El estudio aplica la teoría de la aceptación de la tecnología y el paradigma SOBC a los smartwatches para determinar si las intenciones de uso de los usuarios influyen en su comportamiento. Además, la investigación analiza los elementos técnicos de los smartwatches en cuanto a las ventajas y los riesgos del IoT.

本研究的目的是确定物联网的风险和利益如何影响智能手表的使用意向和实际使用。

刺激-组织-行为-后果（SOBC）假说被用来解释意图和技术使用之间不连续的基础机制。对发放给智能手表用户的394份调查问卷进行了分析, 采用了收敛分析、判别分析和结构模型法。

物联网的技术特点, 如持续连接和实时价值, 作为智能手表的有效刺激, 对个人的反应和与智能手表使用相关的行为后果产生积极影响。虽然数据、性能和财务等物联网风险与智能手表的有用性没有消极关系, 但数据和财务风险对其易用性有消极影响。此外, 由于易用性和有用性对使用意图有积极影响, 用户的行为受到他们使用智能手表的意图的积极影响。

该研究将技术接受理论和SOBC范式应用于智能手表, 以确定用户的使用意图是否影响其行为。此外, 该研究还从物联网的优势和风险方面分析了智能手表的技术要素。

This study explains and predicts smartwatch adoption trends among non-users of smartwatches based on theories of the diffusion of innovation and inertia. It explores the impact of satisfaction with the status-quo with traditional wristwatches, on attitudes toward smartwatches and intentions to adopt the technology.

The study used PLS-SEM to conduct a multi-group analysis considering high (HSQS) and low (LSQS) status-quo satisfaction groups. The multi-group analysis followed the MICOM procedure, and the software SmartPLS three was used to analyse the data.

The results suggest that attitudes of the LSQS group were more strongly impacted by perceived ease of use and trialability. Their attitude toward innovation also had a stronger effect on their adoption intention. For the HSQS group, social influence more strongly impacted adoption intention; this group also perceived the disruption associated with an innovation as greater than the LSQS group. Analysis using PLS-Predict indicated that both models have considerable predictive power.

Most scholarship on this subject has taken a positive view of the diffusion and adoption of smartwatches. This study considers smartwatches from positive and inhibitory perspectives. In the context of smartwatches, this is the first scholarly attempt at comparing levels of resistance to innovation adoption to consumer satisfaction with the status quo.

The purpose of this paper is to answer the question of whether smartwatches will survive and gain their own niche within the consumer electronics market. Based on the stimulus–organism–response (S–O–R) framework, this study identifies and validates the impacts of both technological and fashion-related factors (interactivity, autonomy, visual aesthetics and self-expression) on product attachment towards smartwatches through user satisfaction and pleasure derived from their smartwatches.

The authors collected the survey data via online surveys from 198 respondents and tested measurement and structural models with the partial least square technique.

The authors found that both technological characteristics (interactivity and autonomy) and fashion-related characteristics (visual aesthetics and self-expression) have an impact on product attachment through pleasure.

Several other important characteristics of traditional wrist-watches such as durability or workmanship are not considered in this study, but should be included in future studies. The three-item measure of autonomy may be insufficient for more sophisticated wearable devices in the future. In future studies, the impact of product attachment on users’ continued usage should be examined.

This study provides important practical implications for smartwatch makers interested in product development, as users were found to consider fashion-related characteristics to be as important as technological characteristics.

This study is the first study that considers both aesthetic and technological factors for IT acceptance in the context of wearable devices. Also, instead of traditional IT acceptance measures such as continued use, this study investigates users’ product attachment, which is more relevant to the case of wearable devices.

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.

The purpose of this study is twofold. First, an integrated model will be developed based on task-technology fit, innovation diffusion theory and the new product adoption model in order to explore the factors that affect smartwatch adoption. Second, the differences in the factors that affect users’ intention to adopt the Apple Watch and other smartwatches will be examined.

The data for this study were collected via an online survey questionnaire. The responses of 341 potential adopters of smartwatches were used to test the hypotheses in the research model. The casual model was assessed using partial least squares techniques.

The model can account for more than 50 percent of the variance in adoption intention. The research results affirm prior findings that perceived product attributes have relatively strong influence on adoption intention. Among these attributes, relative advantage has the strongest effect. Moreover, this study revealed differences between the antecedents of Apple watches and those of non-Apple watches.

The insights provided by this study can help smartwatch providers formulate better growth strategies. The findings also provide some directions for further development.

This study provides a better understanding of how the factors in the theories influence the adoption intentions of Apple watches and non-Apple watches.

The purpose of this paper is to examine advertising strategies’ (functional vs emotional) influence on consumers’ evaluation and adoption of smartwatches by drawing on the elaboration likelihood model and the schema incongruity theory. Moderating effects of consumer characteristics (personal innovativeness and extraversion) on the value assessment and attitude relationship are also tested.

The model was assessed using partial least squares-structural equation modeling with a sample of 999 non-smartwatch users.

Results show that functional ads elicit higher levels of hedonic than functional (usefulness) and ergonomic values (ease of use), whereas emotional ads produce higher levels of functional (usefulness) in comparison to hedonic value (enjoyment). Collectively, functional, ergonomic, hedonic and symbolic values shape consumers’ attitude and their subsequent behavior. In addition, findings demonstrate that extraversion positively moderates the symbolic value–attitude relationship, whereas personal innovativeness negatively moderates the functional value–attitude relationship.

Smartwatch sales have floundered despite substantial investments in ad campaigns. This study provides novel insights into managing non-users’ value perceptions of smartwatches with the optimal use of ad strategies. Furthermore, it is also one of the first studies to validate the moderating role of extraversion on the symbolic value–attitude link, thus contributing to the emerging literature on wearable technology.

This paper aims to understand the underlying motivations and factors that drive millennials to embrace smartwatches as fashionable accessories, health monitoring tools and eco-friendly alternatives.

In June–July 2022, a cross-sectional study was conducted, gathering 285 complete responses through an online survey using convenience sampling. These responses were then analyzed to obtain valuable insights using structural equation modeling.

This study’s findings confirm the mediation effect of fashion innovativeness on the relationship between subjective norms and attitudes toward smartwatch usage (b = 0.034, lower limit confidence interval (LLCI) = 0.007, upper limit confidence interval (ULCI) = 0.086, p = 0.015). In addition, it highlights the mediating role of healthology in the association between subjective norms and attitudes toward using smartwatches (b = 0.062, LLCI = 0.006, ULCI = 0.151, p = 0.029).

This research has limitations in terms of sample representativeness, self-reported data, cultural and regional factors and technological advancement.

Understanding millennials’ motivations behind smartwatch usage has implications for marketers, designers and manufacturers in targeting this generation effectively. By highlighting smartwatches’ fashion-forward and health-conscious aspects, companies can appeal to millennials’ preferences and develop innovative features that align with their values.

This study provides validation for the increased level of environmental concerns among millennials, emphasizing its substantial influence on their purchasing decisions when it comes to smartwatches. Furthermore, it highlights that health-consciousness holds greater significance than fashion-forwardness as a determining factor for consumers of smartwatches.

This pioneering study explores the adoption intentions of smartwatch usage, examining it from the unique perspectives of health theology and environmental concerns. By delving into these novel dimensions, the research fills a significant gap in the existing literature. It contributes to a deeper understanding of the factors influencing millennials’ decision-making processes when embracing smartwatches.

Pebble Technology Corporation (Pebble) was an early entrant into the smartwatch industry. Pebble’s Founder, Eric Migicovsky, began thinking about creating a smartwatch in 2008 while still an undergraduate engineering student. After selling about 1,500 prototype watches, he was accepted into Silicon Valley’s prestigious Y Combinator business start-up program. Finding it difficult to attract investors, Migicovsky launched a crowdfunding campaign that raised a record-breaking $10.27m on Kickstarter. The case concludes shortly after Apple’s unveiling of its soon-to-be-released Apple Watch. The case provides an opportunity to evaluate Pebble’s various strategic options at the time of Apple’s announcement.

The authors observed over 30 h of video and audio recordings of speeches, interviews and other events involving Pebble’s founder, other Pebble executives, investors and competitors. These recordings are all publicly available. Whenever possible, the authors also reviewed the Twitter feeds, Facebook sites and personal websites of Pebble’s top executives over time. Similarly, the authors followed Pebble’s official website, corporate blog and Kickstarter campaign websites. The authors also drew from numerous media reports. Due to the public nature of the data, no company release is provided nor has any information been disguised in any way.

The case is designed for both undergraduate and graduate students for courses in strategic management.