2022
DOI: 10.1007/s12525-022-00575-7
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Continued usage of smart wearable devices (SWDs): cross-level analysis of gamification and network externality

Abstract: With the increasing maturity of mobile networks and big data technology, smart wearable devices (SWDs) are regarded as a new technology trend following smartphones. Especially during the COVID-19 pandemic, the increase in telework and the growing interest in self-health monitoring have greatly promoted the market growth of SWDs. This study aimed to investigate the factors affecting the continued use of SWDs. A cross-level analysis model that integrates technical characteristics, gamification theory, perceived … Show more

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Cited by 11 publications
(4 citation statements)
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“…Participants see increased interaction and interchange with others as they compete against one another, making activities more pleasurable and fun and increasing the activity's participation rate (Tsai et al, 2022). This sense of accomplishment, leveraging appraisal and feedback system encourage participants' engagement, with resulting influences on their emotions, cognitions and behaviors (Mullins and Sabherwal, 2020).…”
Section: Customer Engagementmentioning
confidence: 99%
“…Participants see increased interaction and interchange with others as they compete against one another, making activities more pleasurable and fun and increasing the activity's participation rate (Tsai et al, 2022). This sense of accomplishment, leveraging appraisal and feedback system encourage participants' engagement, with resulting influences on their emotions, cognitions and behaviors (Mullins and Sabherwal, 2020).…”
Section: Customer Engagementmentioning
confidence: 99%
“…At the same time, many scholars believe that applying the concept of network externalities in economics has limitations such as technological adoption [ 52 ], technological compatibility [ 53 ], and related-party transactions within the network [ 54 ], which can lead to market failures and thus do not have network externality characteristics. However, these factors do not preclude network externalities from being applied to a variety of industry scenarios such as professional sports business leagues [ 55 ], electric utilities [ 56 , 57 ], and intelligent products [ 58 ], which use network externalities to study attendance, pricing strategies, and user loyalty.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Nine constructs were measured using existing scales on 7-point Likert scales (1 = "not at all", 7 = "very much"). Specifically, the measurement items for smartwatch attributes including interactivity (3 items), autonomy (4 items), wearability (3 items), convenience (3 items), and experiential novelty (4 items) were adopted and modified from the existing literature on wearable devices and user experiences [47][48][49]. Flow experience was measured using three items for absorption and three items for enjoyment that were adopted and modified from Kim and Ko's study [39].…”
Section: Instrumentmentioning
confidence: 99%