The effect of unexpected features on app users’ continuance intention

Hsu, Jack Shih-Chieh; Lin, Tung‐Ching; Fu, Tzu-Wei; Hung, Yu‐Wen

doi:10.1016/j.elerap.2015.06.003

Cited by 55 publications

(49 citation statements)

References 78 publications

(133 reference statements)

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“…Third, past studies in app adoption and continue usage highlighted the importance of having appropriate functions [17]. In this study, we further illustrated that the functions one app contains also reflect the permission that the app should ask for.…”

Section: Discussionmentioning

confidence: 68%

The Impact s of Requested Permission on Mobile App Adoption: The Insights Based on an Experiment in Taiwan

Lai¹,

Hsu²,

Wu³

2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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Section: Discussionmentioning

confidence: 68%

The Impact s of Requested Permission on Mobile App Adoption: The Insights Based on an Experiment in Taiwan

Lai¹,

Hsu²,

Wu³

2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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“…The EDT originated from consumer behavior research, and has been widely used to examine customer satisfaction and post-purchase behavior such as repurchase and complaining behavior (Oliver, 1980;Hsu et al, 2016). The EDT involves four major constructs, namely, expectation, performance, confirmation, and satisfaction.…”

Section: Edtmentioning

confidence: 99%

Wearable health information systems intermittent discontinuance

Shen

Sun

2018

IMDS

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Purpose -Wearable health information systems (IS) open up a new era for personal health self-management, and bring about disruptive changes to individual lives. However, prior studies on IS post-adoptive behavior primarily focused on either continuance or discontinuance, neglecting the mutual transformation process between IS usage and rejection behavior. This behavior is expressed as intermittent discontinuance in the current study. By revising and extending the expectation-disconfirmation model, the purpose of this paper is to understand the factors affecting information system intermittent discontinuance in the context of wearable eHealth. Design/methodology/approach -This study proposes a revised expectation-disconfirmation model by incorporating four new theoretical constructs, i.e. neutral disconfirmation, attitudinal ambivalence, neutral satisfaction, and intermittent discontinuance. An online survey was used to validate the research model, and 428 wearable health device users were recruited in this study.Findings -Empirical results demonstrate that neutral disconfirmation exerts positive effects on neutral satisfaction and attitudinal ambivalence, both of which further have positive effects on intermittent discontinuance. In addition, attitudinal ambivalence also has a positive and significant effect on neutral satisfaction. Originality/value -This study extends the current understanding on IS post-adoption usage behavior by introducing a new concept, i.e., intermittent discontinuance. In particular, post-adoption usage behavior is viewed as a dynamic process within a changing environment in this study. Some unique features specific to intermittent discontinuance are also identified. In this regard, neutral and conflicting constructs further add new values to IS adoption and diffusion literature. In addition, the integration of eHealth and wearable devices provides a fruitful research context for future research, and this study represents one of the first attempts to empirically explore the intermittent usage problems encountered within this emerging phenomenon.

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“…The expectations provide a baseline or anchor level of satisfaction. Some research find that the perceived performance which falls short of expectations has greater impact on satisfaction and repurchase intentions than performance which exceeds expectations [27][28]. Thus, the expectation of pre-purchase and outcome performance of post-purchase are relative variables.…”

Section: The Research Of Ectmentioning

confidence: 99%

“…The customer's satisfaction results from a comparison between expectation and outcome performance [14][15][16]. The comparison of prior expectations with observed performance cases disconfirmation.…”

Section: Introductionmentioning

confidence: 99%

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The Organic Food Purchase Behaviour: Using ECT to Explore Customers’ Satisfaction

Huang

2016

MATEC Web of Conferences

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Abstract. This paper bases on expectation confirmation theory (ECT) to propose a stochastic model of predicting organic food purchase behaviour. In the model, the expectation of pre-purchase and outcome performance of postpurchase are considered as relative variables. We consider these two variables as two different normal distribution and their probability density function (pdf) and cumulative distribution function(cdf) will be demonstrated to display their correlation. Then the joint density can be computed to show the results of positive or negative disconfirmation. This study also conducts an empirical data for parameter estimation and model application. We use the 0.5 as threshold level of probability to test the fitness of real overall satisfaction and the calculation results of probability. The results of chi-square testing show good fitness. Finally, the conclusion is made.

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The effect of unexpected features on app users’ continuance intention

Cited by 55 publications

References 78 publications

The Impact s of Requested Permission on Mobile App Adoption: The Insights Based on an Experiment in Taiwan

The Impact s of Requested Permission on Mobile App Adoption: The Insights Based on an Experiment in Taiwan

Wearable health information systems intermittent discontinuance

The Organic Food Purchase Behaviour: Using ECT to Explore Customers’ Satisfaction

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