Network externality and future usage of Internet services

Chun, Sung Yong; Hahn, Minhi

doi:10.1108/10662240710737013

Cited by 23 publications

(14 citation statements)

References 31 publications

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“…Network externality is defined as changes in benefits that a consumer derives from goods when the number of people consuming the same kind of goods changes [54]. In consumer product market, network externalities play an important role, as the effect derived from network externalities can bring about more benefits and profits for companies [55]. For IoT-based wearable fitness trackers, more benefit is achieved as more users adopt the device.…”

Section: Literature Reviewmentioning

confidence: 99%

An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers

Kao

Nawata

Huang

2019

IJERPH

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In recent years, IoT (Internet of Things)-based smart devices have penetrated a wide range of markets, including connected health, smart home, and wearable devices. Among the IoT-based smart devices, wearable fitness trackers are the most widely diffused and adopted IoT based devices. Such devices can monitor or track the physical activity of the person wearing them. Although society has benefitted from the conveniences provided by IoT-based wearable fitness trackers, few studies have explored the factors influencing the adoption of such technology. Furthermore, one of the most prevalent issues nowadays is the large attrition rate of consumers no longer wearing their device. Consequently, this article aims to define an analytic framework that can be used to explore the factors that influence the adoption of IoT-based wearable fitness trackers. In this article, the constructs for evaluating these factors will be explored by reviewing extant studies and theories. Then, these constructs are further evaluated based on experts’ consensus using the modified Delphi method. Based on the opinions of experts, the analytic framework for deriving an influence relationship map (IRM) is derived using the decision-making trial and evaluation laboratory (DEMATEL). Finally, based on the IRM, the behaviors adopted by mass customers toward IoT-based wearable fitness trackers are confirmed using the partial least squares (PLS) structural equation model (SEM) approach. The proposed analytic framework that integrates the DEMATEL and PLS-SEM was verified as being a feasible research area by empirical validation that was based on opinions provided by both Taiwanese experts and mass customers. The proposed analytic method can be used in future studies of technology marketing and consumer behaviors.

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Section: Literature Reviewmentioning

confidence: 99%

An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers

Kao

Nawata

Huang

2019

IJERPH

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“…It is recognized as a core factor that determines the continuance use of an information system. For instance, Sung and Hahn (2007) found that user satisfaction contributes to the success of a network service. Assensoh- Kodua and Lekhanya (2014) showed that satisfaction is one of the salient determinants of continuance intention in the SNSs context.…”

Section: User Satisfactionmentioning

confidence: 99%

Gender differences in satisfaction with Facebook users

Chan

Cheung

Shi

et al. 2015

Industrial Management &Amp; Data Systems

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Purpose-There are two main objectives of this study: (1) to examine the factors associated with user satisfaction in the social network sites (SNSs), and (2) to explore the moderating effects of gender on user satisfaction. Design/methodology/approach-A research model was built upon the expectation disconfirmation model (EDM) with a focus on SNSs specific motivations (i.e., relationship maintenance and entertainment). The model was tested empirically with 221 experienced Facebook users using an online survey. Findings-The research model explained 40.5% of the variance in user satisfaction. In addition, the results showed that entertainment plays a more important role in determining user satisfaction with SNSs for male users, while relationship maintenance is more important in determining user satisfaction with SNSs for female users. Research limitations/implications-The current study enriched the theoretical understanding of user satisfaction in the context of SNSs. Particularly, perceptions and disconfirmations about the use of SNSs were identified and empirically tested. Furthermore, gender differences in terms of SNSs usage were empirically demonstrated. Originality/value-The present study is one of the first few studies that attempts to explain user satisfaction with SNSs as well as examine the role of gender with a theoretical foundation. It complements the empirical research in the IS literature that addresses new social communication technologies.

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“…Our results also showed a significant direct influence of social interaction context on discontinuance intention. Social interaction context is determined by a user's perception of network strength, which is based on the quality of interactions among users within the network (Chun and Hahn, 2007; Quan-Haase and Young, 2010). This individual-level network property has been discussed to improve user cohesion or intimacy with other users (Granovetter, 1973; Keyton and Springston, 1990).…”

Section: Discussionmentioning

confidence: 99%

“…Xiao et al , 2019), this study conceptualizes two SNS-specific contextual factors, that is, social interaction context and platform service context. First, as a social context, social interaction context is associated with the frequency/time and the strength of personal network on SNS (Chun and Hahn, 2007; Wang and Chen, 2012). Since a social interaction condition is formed through interactions with other users within the SNS, it drives the user's social capital regarding his/her use of the SNS (Ellison et al , 2007).…”

Section: Theoretical Backgroundsmentioning

confidence: 99%

“…According to Ahuja (2000), networks can be viewed from their strength of relationships among their actors. This strength of the network depends on the density among the actors in a network, that is, how deeply the actors interact with each other (Chun and Hahn, 2007; Zhao et al , 2016). Hence, this perceived network strength as the perceived context of an individual's social interaction context involves emotional intensity and intimacy, that is, cohesion among members (Granovetter, 1973).…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

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Alleviating the impact of SNS fatigue on user discontinuance

Lee

Suh

et al. 2021

IMDS

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PurposeSocial networking services (SNSs) have become deeply ingrained into our daily life. However, it has often been reported that users experience negative feelings regarding SNS usage. This phenomenon presents challenges for SNS providers in retaining or increasing their customer base. This study focuses on SNS fatigue, a negative psychological state that can lead to discontinuance intention among SNS users. This study proposes two distinctive SNS-specific contexts and investigates how they alleviate the negative effect of SNS fatigue on user behavior.Design/methodology/approachDrawing upon the context-specific theorization perspective, a model involving moderation effects of the SNS-specific contexts on the relationship between user's SNS fatigue and discontinuance intention was proposed. The model was tested using survey data of active SNS users.FindingsThe results indicate that SNS fatigue leads to user discontinuance intention. However, the SNS-specific contexts, such as social interaction context and platform service context, negatively moderate the relationship between SNS fatigue and user discontinuance intention.Originality/valueThe findings of this study are expected to help SNS providers develop strategies to improve their services for effective user retention.

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Network externality and future usage of Internet services

Cited by 23 publications

References 31 publications

An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers

An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers

Gender differences in satisfaction with Facebook users

Alleviating the impact of SNS fatigue on user discontinuance

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