A balanced thinking–feelings model of information systems continuance

Kim, Hee-Woong; Chan, Hock Chuan; Chan, Yee Pia

doi:10.1016/j.ijhcs.2006.11.009

Cited by 163 publications

(104 citation statements)

References 68 publications

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“…Emotions are valenced affective reactions to perceptions of situations [8,9,50]. Notwithstanding the overwhelming evidence of the role of affective reactions in consumer decision making, conceptual models such as the DTPB and empirical research on the adoption (intention) of innovations or (new) behaviour have largely ignored the role of emotions [6][7][8][9].…”

Section: Emotions Towards the Electric Car In The Decomposed Theory Omentioning

confidence: 99%

“…Emotions have been added to cognitive decision models such as the Theory of Planned Behaviour for various products and issues, and have been found to be highly relevant for predicting behavioural intentions [9,56,57]. Various studies on the role of emotions in the TPB relate to issues or behaviours that are relatively highly involving [58].…”

Section: Emotions Towards the Electric Car In The Decomposed Theory Omentioning

confidence: 99%

“…However, there is an overwhelming evidence of the role of affective reactions in consumer decision making. Traditional innovation models have largely ignored the role of emotions [6][7][8][9], especially in case of high involvement decisions about complex products such as cars, notwithstanding the fact that emotions play an important role in these decisions [10][11][12]. Also, in the context of the adoption of new, innovative and environmentally products, such as hybrid or electric cars, the role of anticipated emotions is particularly eminent [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Extended Decomposed Theory of Planned Behaviour to Predict the Usage Intention of the Electric Car: A Multi-Group Comparison

2015

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An Extended Decomposed Theory of Planned Behaviour (DTPB) is developed that integrates emotions towards car driving and electric cars as well as car driving habits of the DTPB, and is empirically validated in a Belgian sample (n = 1023). Multi-group comparisons explore how the determinants of usage intention are different between groups of consumers differing in environmentally-friendly behaviour, environmental concern, innovativeness and personal values. Besides attitudes, media, perceived complexity, compatibility and relative advantage, emotions towards the electric car and reflective emotions towards car driving have a strong effect on usage intention. Car driving habits and perceived behavioural control (facilitators and constraints) do not substantially affect usage intention. Only people differing in personal values show a different motivational structure for a number of important drivers of usage intention.

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Section: Emotions Towards the Electric Car In The Decomposed Theory Omentioning

confidence: 99%

Section: Emotions Towards the Electric Car In The Decomposed Theory Omentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Extended Decomposed Theory of Planned Behaviour to Predict the Usage Intention of the Electric Car: A Multi-Group Comparison

2015

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“…Promotion and prevention emotions that occur from product consumption have been found to directly affect customers' repurchase intentions (Chitturi et al 2008). Kim et al (2007) have found that pleasure and arousal with internet services has a positive effect on users' attitude to the use of the services. Furthermore, Beaudry and Pinsonneault (2010) have found a positive association of happiness with IT use.…”

Section: Effects Of Emotions On Purchase Intentionsmentioning

confidence: 99%

Shiny happy people buying: the role of emotions on personalized e-shopping

et al. 2014

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Personalized services are diffusing rapidly in online shopping communities. However, the current understanding of the influence of personalization is limited. This study extends personalization literature into the area of emotions related to intention to purchase and into the context of online shopping. Responses from 182 online shoppers were used to examine the impact of personalization on customer emotions and intention to purchase. The results show that there is a direct positive association between personalization and purchase intentions. In addition, provision of personalization features in e-shops may evoke positive emotions to online shoppers but does not evoke nor mitigate negative ones. Finally, our study reports that emotions influence online shopping behavior either positively, through the formulation of positive emotions, or negatively, through negative emotions. These findings indicate that positive emotions mediate the relationship between personalization and purchase intentions. Our study concludes with a critical appraisal of our findings and a discussion of prospective theoretical and managerial implications for e-shop practitioners.

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“…With specific reference to the popular technology acceptance model (Davis, 1989), emphasis has been on constructs such as perceived usefulness or perceived ease of use. More recently, research into website design has recognized the importance of the inclusion of affective elements such as enjoyment (Cyr et al 2007;Cyr and Head, 2008;Kim et al, 2007;Sun and Zhang, 2006;Tractinsky, 2004;Zhang and Li, 2004). If either or both cognitive or affective components are present then users are more likely to return to the site or to visit it in the future, termed e-loyalty (Cyr at al.…”

Section: Introductionmentioning

confidence: 99%

Perceived interactivity leading to e-loyalty: Development of a model for cognitive–affective user responses

Cyr

Head

Ivanov

2009

International Journal of Human-Computer Studies

273

218

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A B S T R A C T 1Novel applications of website interactivity are important to attract and retain online users. In this empirical study five designs for interactivity are examined using different web-poll interfaces. The goal of the investigation is to examine perceived interactivity in a model which includes most commonly tested cognitive elements such as efficiency and effectiveness, but augments this model with the inclusion of a cognitive-affective element for trust, and an affective element of enjoyment. More specifically, a model is created to validate the relationship of perceived interactivity (comprised of user control, user connectedness, and responsiveness of the web-poll application) to efficiency, effectiveness, trust and enjoyment, of the website. In turn, efficiency, effectiveness, trust, and enjoyment are tested for their influence on user behavioral intentions for e-loyalty. All relationships in the model are supported. In addition, exploratory evaluation of qualitative comments is conducted to investigate additional insights between the five web poll treatments in this investigation. The research confirms the complexity of a model in which cognitive, cognitive-affective and affective elements are present, and advances knowledge on the consequences of perceived interactivity. In additional to theoretical advancements, the research has merit for web designers and online marketers regarding how to enhance interactive online web applications. K E Y W O R D Sperceived interactivity, e-loyalty, web-poll design . IN T R O D U C T IO NDespite the potential for interactivity provided by the Internet, little attention has been paid to how interactivity might be more fully utilized (Johnson et al., 2006). Rice (1984) defined interactivity as the capability of a computer-enabled communication system that permits exchange of roles between the sender and receiver in real or delayed time so that communicators have more control over the structure, pace, and content of the communication.Although interactivity has numerous dimensions, a common theme is that the website successfully provides information to the user, is perceived as responsive, and allows a sense of connection -often with other users. While previous research has aimed to conceptually unravel contributing factors to interactivity, there is relatively little empirical work that systematically examines the consequences of interactivity. There are some exceptions. Jiang 1 An earlier version of this paper was accepted for presentation at the Sixth Pre-ICIS HCI Research in MIS Workshop (HCI/MIS'07), Montreal, 2007. The authors sincerely appreciate the suggestions of three anonymous reviewers. 3and Benbasat (2007) examined interactivity related to purchase intention and intention to return to the website. Johnson et al. (2006) developed a platform on a website for an herbal antidepressant that allowed users to know through an 'at-a-glance' X-Y plot diagram how many other users found the product useful, at what dosages, and for how long. Users could click...

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A balanced thinking–feelings model of information systems continuance

Cited by 163 publications

References 68 publications

An Extended Decomposed Theory of Planned Behaviour to Predict the Usage Intention of the Electric Car: A Multi-Group Comparison

An Extended Decomposed Theory of Planned Behaviour to Predict the Usage Intention of the Electric Car: A Multi-Group Comparison

Shiny happy people buying: the role of emotions on personalized e-shopping

Perceived interactivity leading to e-loyalty: Development of a model for cognitive–affective user responses

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