Understanding Chinese users’ continuance intention toward online social networks: an integrative theoretical model

Sun, Yuan; Liu, Ling; Peng, Xinmin; Dong, Yi; Barnes, Stuart J.

doi:10.1007/s12525-013-0131-9

Cited by 135 publications

(91 citation statements)

References 38 publications

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“…Measurement scales were adapted from established scales; issue involvement from de Graaf et al (2015), social interaction from Blazevic et al (2014), web interactivity from van Noort et al (2012), commitment from Bilgihan et al (2013), and continuance intention from Sun et al (2014). Table 1 shows the scale items used in this study.…”

Section: Methodsmentioning

confidence: 99%

Commitment to Online Community and Continuance Intention: Issue Involvement, Interactivity, and Social Interaction

Kusumasondjaja

2017

jbm

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Abstrak Penelitian ini bertujuan untuk menguji bagaimana issue involvement, online interactivity, dan social interaction AbstractThe purposes of this study is to investigate how issue involvement, online interactivity, and social interaction influence consumer commitment to online travel community and intention to continue participating in the community. An online traveling forum was examined as the issues being observed in this study are highly relevant with the forum. Based on 135 valid responses from active members of the forum obtained through distributing online questionnaire in the forum, structural equation modelling was employed to examine the research model. The results show that issue involvement and social interaction affect commitment to the community; while surprisingly social interaction does not have significant influence on the commitment. Moreover, commitment to the community leads consumers to continue their participation in the community. Managerial contributions and limitations of the study are discussed.

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Section: Methodsmentioning

confidence: 99%

Commitment to Online Community and Continuance Intention: Issue Involvement, Interactivity, and Social Interaction

Kusumasondjaja

2017

jbm

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“…Table 1 indicates that it is important to notify that many studies investigated the importance and necessity of continuance usage intention for future studies, e.g. (1)(2)(3). From the review of literature on continuance usage intentions, some models have been put forward to explain the continuity of the e-commerce .…”

Section: Review Of Literature On Continuance Usagementioning

confidence: 99%

“…In addition, many researchers stated that ECM model can be employed to look into e-commerce better than other existing models and theories, e.g. (1,(17)(18)(19)(20)(21)(22). Hence, in the same way, many studies concentrated on user satisfaction, and many influential constructs have been brought into the original ECM to extend the model, and in order to explain the power in the continuance usage intention.…”

Section: Review Of Literature On Continuance Usagementioning

confidence: 99%

Development of research continuous usage intention of e-commerce. A systematic review of literature from 2009 to 2015

Harasis¹,

Qureshi²,

Rasli³

2018

IJET

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This paper systematically reviews the literature on the continuous usage intentions from 2009 to 2015. From the review of literature on continuance usage intentions, some models have been put forward to explain the continuity of the e-Commerce. However, each model is extensively different from one another. Over the years, a considerable development in the literature of Continuous intentions. However, there is still a necessity to present a more comprehensive and integrative model for the continuance usage intention of e-commerce users than the models in existence at the moment. The Expectation Confirmation Model (ECM) has been widely accepted in general. In addition, many researchers stated that ECM model can be employed to look into e-commerce better than other existing models and theories.

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“…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%

“…In the contrary, the disconfirmation is negative, if the outcome performance of product is lower than the expectation. The positive disconfirmation reflects satisfaction and negative disconfirmation demonstrates dissatisfaction [15,[17][18][19][20]. Oliver [21][22] proposed expectation confirmation theory (ECT) to describe these series process.…”

Section: Introductionmentioning

confidence: 99%

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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Understanding Chinese users’ continuance intention toward online social networks: an integrative theoretical model

Cited by 135 publications

References 38 publications

Commitment to Online Community and Continuance Intention: Issue Involvement, Interactivity, and Social Interaction

Commitment to Online Community and Continuance Intention: Issue Involvement, Interactivity, and Social Interaction

Development of research continuous usage intention of e-commerce. A systematic review of literature from 2009 to 2015

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

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