Understanding Media Satisfaction: Development and Validation of an Affect-Based Scale

Patwardhan, Padmini; Jin, Yang; Patwardhan, Hemant

doi:10.1080/15456870.2011.584508

Cited by 22 publications

(12 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…User satisfaction refers to the general feeling of fulfilment resulting from using the internet (Patwardhan et al 2011 ). Satisfaction is an old but contemporary construct that has been used by many researchers in different disciplines (Ki Hun Kim et al 2019 ).…”

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

Exploring the determinants of students’ academic performance at university level: The mediating role of internet usage continuance intention

2021

View full text Add to dashboard Cite

This study investigates the impact of integrating essential factors on academic performance in university students' context. The proposed model examines the influence of continuance intention, satisfaction, information value, and Internet addiction on academic performance. Additionally, it investigates the mediating role of continuance intention on the relationship of satisfaction and information value on academic performance among university students. A survey questionnaire method was adopted to collect data from university students in Jordan. Data was collected from 476 voluntary participants, and the analysis was conducted using SPSS and AMOS. The analysis results show that continuance intention, satisfaction, information value have a significant positive influence on academic performance. Besides, the results show that satisfaction and information value positively and significantly influence continuance intention. While continuance intention full mediation the relationship between satisfaction and academic performance, it partial mediation the relationship between information value and academic performance. This study is the first to examine the integrating of continuance intention, satisfaction, information value, and Internet addiction on students' academic performance. Furthermore, this study is also distinguished from other studies by investigating the mediating role of continuance intention gap.

show abstract

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

Exploring the determinants of students’ academic performance at university level: The mediating role of internet usage continuance intention

2021

View full text Add to dashboard Cite

show abstract

“…sharing-provides another important measure of a piece of information (Mersey, Malthouse, and Calder 2010). Finally, satisfaction is considered critical for engagement in terms of understanding audience-media connections (Patwardhan, Yang, and Patwardhan 2011). These three concepts offer researchers, content producers, and developers a strong sense of how the user reacts to the experience of encountering place-based journalism.…”

Section: News Engagementmentioning

confidence: 99%

“…The satisfaction concept, in general, is considered central to media use, as organizations and service providers with satisfied audiences likely will remain loyal while dissatisfied audiences defect to alternatives. In addition, satisfied audiences likely will come back to the same source for more media offerings and also to share their positive experiences with others, as another form of social facilitation (Jacobs 1999;Patwardhan, Yang, and Patwardhan 2011). Therefore, an examination of satisfaction has become a critical outcome variable for various media objects, including interactive news presentation styles (Chung and Nah 2009).…”

Section: Proximitymentioning

confidence: 99%

“…Social facilitation was measured with three slightly modified items from Mersey, Malthouse, and Calder's (2010) Online Engagement, measured on a 1-5 Likert scale: "I will bring up things I saw on this app in conversation with other people," "This app gave me something to think about," and "I will use things from this app in discussions or arguments with people I know" (α = 0.79). Satisfaction was measured using Patwardhan, Yang, and Patwardhan's (2011) four-item media satisfaction scale: "Using the app gave me pleasure," "This app was enjoyable," "I felt good after using the app," and "I felt happy after spending time with this app" (α = 0.92).…”

Section: Operationalizationmentioning

confidence: 99%

See 1 more Smart Citation

Proximity

Oppegaard

Rabby

2015

Digital Journalism

View full text Add to dashboard Cite

Proximity has helped practitioners and scholars to determine newsworthiness for generations. Emerging mobile technologies, though, with contextual-awareness capabilities, have been complicating many of the related issues and expanding the realm of journalistic content-as well as conceptualizations of timeliness-through growing digital tethers to place and use of that material in place. Those evolving complexities include the increasing possibilities for journalists to make connections to contemporary audiences through the customization of content based on matters of user location. In turn, where an audience member is located when media is delivered can matter greatly. Geolocation metadata has become ubiquitous and media delivery systems can sort that data to customize user experiences based on place. In terms of such tailoring, mobile devices allow novel kinds of personalized connections to journalism, prompted by a geographical nearness to physical stimuli. In response, this study examines the potential of proximity for impact on key factors of engagement, through the involvement, social facilitation, and satisfaction of users. This conceptualization of mobile journalism shows that media designers now not only can know precisely where their particular audience is but also adapt their messages to the situation as a way to generate more engaging experiences.

show abstract

“…V3: It is a very adequate programme for entertaining me (Note 5). SATISFACTION (Patwardhan et al, 2011) V4: After watching the programme, I feel very good. V5: After watching the programme, I feel very content for having spent time watching it.…”

Section: Operationalisation Of the Theoretical Conceptsmentioning

confidence: 99%

Understanding the Consumption of Television Programming: Development and Validation of a Structural Model for Quality, Satisfaction and Audience Behaviour

Mañero¹,

Uceda²,

Serrano³

2013

IJMS

View full text Add to dashboard Cite

Within a nowadays context characterised by an increasing number of television channels and by a widely fragmentation of the audience, the study of television content from the consumer's perspective acquires special interest for managers of television stations. This paper, given the aforementioned reality, analyses and identifies the relationship structure that underlies the constructs of satisfaction and quality in order to gain a more in-depth understanding of the behaviour of television consumers.The methodology applied is structural equation models and results clearly show a causal link between the variables and confirm the predictive validity of the proposed model. This work provides a framework of reference for developing a cognitive-affective model for the consumption of television programmes, thereby integrating perceived quality as a cognitive variable and satisfaction as an affective variable.The results of the work provide a more in-depth understanding of a television consumer's behaviour, and they can therefore help to increase the effectiveness of actions by television advertisers and programmers, thereby allowing television stations to improve their results.

show abstract

Understanding Media Satisfaction: Development and Validation of an Affect-Based Scale

Cited by 22 publications

References 55 publications

Exploring the determinants of students’ academic performance at university level: The mediating role of internet usage continuance intention

Exploring the determinants of students’ academic performance at university level: The mediating role of internet usage continuance intention

Proximity

Understanding the Consumption of Television Programming: Development and Validation of a Structural Model for Quality, Satisfaction and Audience Behaviour

Contact Info

Product

Resources

About