The future of smartwatches: assessing the end-users’ continuous usage using an extended expectation-confirmation model

Pal, Debajyoti; Funilkul, Suree; Vanijja, Vajirasak

doi:10.1007/s10209-018-0639-z

Cited by 48 publications

(26 citation statements)

References 99 publications

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“…Krey et al (2019) demonstrated that expected enjoyment indirectly over attitude enhances the smartwatch adoption intention. In terms of prior research on continued smartwatch usage, Pal et al (2018) found enjoyment to significantly affect satisfaction and continuance intention, whereas in the study conducted by Nascimento et al (2018) only the effect on satisfaction turned out significant. Based on these validated findings and the fact that satisfaction encompasses an assessment of feelings resulting from wearable usage, we hypothesize that enjoyment enhances smartwatch satisfaction.…”

Section: Model Developmentmentioning

confidence: 65%

“…The expectation-confirmation model In line with the assumptions of the ECM and prior research building upon the ECM to explain continuous smartwatch usage (e.g., Nascimento et al 2018;Pal et al 2018;Gupta et al 2020), we derive our first five hypotheses: H1: Satisfaction positively affects continuance intention. H2-3: Confirmation positively affects satisfaction (H2) and perceived usefulness (H3).…”

Section: Model Developmentmentioning

confidence: 93%

“…Among these, Ogbanufe and Gerhart (2018) investigated the indirect effects of utilitarian aspects (i.e., information and system quality) on continued use of smartphone features. While Pal et al (2018) also addressed the utilitarian side of smartwatches by integrating perceived accuracy and functional limitations, they additionally studied the effect of hedonic motivation on continuous usage. They demonstrated a positive effect of perceived usefulness, hedonic motivation, perceived comfort, and self-socio motivation on continuous usage.…”

Section: Research On Continuous Use Of Smartwatchesmentioning

confidence: 99%

See 2 more Smart Citations

Understanding continued smartwatch usage: the role of emotional as well as health and fitness factors

Siepmann

Kowalczuk

2021

Electron Markets

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Smartwatches are the most popular wearable device and increasingly subject to empirical research. In recent years, the focus has shifted from revealing determinants of smartwatch adoption to understanding factors that cause long-term usage. Despite their importance for personal fitness, health monitoring, and for achieving health and fitness goals, extant research on the continuous use intention of smartwatches mostly disregards health and fitness factors. Grounding on self-determination theory, this study addresses this gap and investigates the impact of health and fitness as well as positive and negative emotional factors encouraging or impeding consumers to continuously use smartwatches. We build upon the expectation-confirmation model (ECM) and extend it with emotional (device annoyance and enjoyment) as well as health and fitness factors (goal pursuit motivation and self-quantification behavior). We use structural equation modeling to validate our model based on 335 responses from actual smartwatch users. Results prove the applicability of the ECM to the smartwatch context and highlight the importance of self-quantification as a focal construct for explaining goal pursuit motivation, perceived usefulness, confirmation and device annoyance. Further, we identify device annoyance as an important barrier to continuous smartwatch use. Based on our results, we finally derive implications for researchers and practitioners alike.

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Section: Model Developmentmentioning

confidence: 65%

Section: Model Developmentmentioning

confidence: 93%

Section: Research On Continuous Use Of Smartwatchesmentioning

confidence: 99%

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Understanding continued smartwatch usage: the role of emotional as well as health and fitness factors

Siepmann

Kowalczuk

2021

Electron Markets

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“…Battery life is an important criterion in the case of wearable devices because the users tend to wear them all the time for various purposes. As defined by (Pal, Funilkul & Vanijja, 2018) battery life represents the users' concern regarding the battery longevity of the wearable device when using all the features and functionalities to their full potential. Also, battery overheating is another important facet, when it is linked to health concerns and the uncomfortable effect it has on users.…”

Section: Technical Dimensionmentioning

confidence: 99%

“…Comfort in usage underlines the physical and sensorial aspects of wearable devices, such as weight, bulk, the quality of material used, texture, elasticity etc. These attributes can affect the usage of wearable devices, since users need to wear them for a long period of time (Pal, Funilkul & Vanijja, 2018). This criteria affects the consumer's satisfaction with the physical attributes of the IoT-based wearable devices and their physical well-being.…”

Section: Ergonomic Dimensionmentioning

confidence: 99%

Analyzing the Factors Affecting the Quality of IoT-based Smart Wearable Devices Using the DANP Method

Balog¹,

Băjenaru²,

Stanciu³

2019

SIC

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This paper proposes the DANP (DEMATEL-based Analytic Network Process) method so that the factors that affect the quality of IoT (Internet of Things)-based smart wearable devices can be adequately assessed. The proposed method helps to identify and visualize the importance of certain factors (dimensions and criteria), the causal relationship among the factors, the mutual influence upon each other, and their influential weights. A numerical example was presented to illustrate the feasibility and effectiveness of the proposed method. The results of this study demonstrated that the quality dimensions can be divided into a causal group (the technical and ergonomic dimensions) and an effect group (the functional and symbolic dimensions). The functional dimension proved to be the most important factor and the most important core problem to be solved. The most influential driving factor was the ergonomic dimension. The results of this study provide insights into critical design criteria to better meet the users' needs and can be used by manufacturers to develop strategies for improving the quality of IoT-based smart wearable devices, in a priority order.

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Selbstquantifizierung, mobiles Bezahlen und kontinuierliche Nutzung von Smartwatches

Adler

Hof

Kowalczuk

2023

Marketing Und Innovation in Disruptiven Zeiten

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The future of smartwatches: assessing the end-users’ continuous usage using an extended expectation-confirmation model

Cited by 48 publications

References 99 publications

Understanding continued smartwatch usage: the role of emotional as well as health and fitness factors

Understanding continued smartwatch usage: the role of emotional as well as health and fitness factors

Analyzing the Factors Affecting the Quality of IoT-based Smart Wearable Devices Using the DANP Method

Selbstquantifizierung, mobiles Bezahlen und kontinuierliche Nutzung von Smartwatches

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