The means-end cognitions of perceived information quality in academic social networking sites

Zhang, Ning; Qinjian, Yuan

doi:10.1177/0961000619871612

Cited by 9 publications

(5 citation statements)

References 56 publications

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“…One of the research challenges in Web information evaluation is a wide variety of studies and approaches that have led to several different methodologies. Most research studies have used computational and quantitative approaches (Shen et al, 2019;Mansour, 2018;Gao et al, 2015;Chu et al, 2018;Sohn and Choi, 2019), and some have applied qualitative methods (Madden et al, 2012;Cader, 2013;O'Reilly and Marx, 2011) or mixed methods (Zhang and Yuan, 2019). There exists a wide range of research conducted in different fields of study, which here are categorized into two sections related to online health and non-health information evaluation.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Considering the role and effect of the credibility of information available on the Web on the levels of trust, decision-making and activity for student users, it is, therefore, necessary to investigate the process of assessing online information. Importantly, research findings indicate the widespread use of and trust in Web information compared to traditional resources (Zhang and Yuan, 2019). A new generation of Web and social networks in which users have more freedom to create content as quickly and easily as possible has added to the complexity of the issue (Sohn and Choi, 2019;Klawitter and Hargittai, 2018;Jacobs et al, 2017).…”

Section: Introductionmentioning

confidence: 96%

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Assessing the credibility of Web information by university students: findings from a case study in Iran

Keshavarz

2020

GKMC

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Purpose The purpose of this paper is to explore how university students assess the credibility of diverse information available on the Web. Design/methodology/approach This paper used applied study and was conducted using the survey-descriptive method. Using a randomized stratified sampling method and the Cochran sampling formula, a sample including 380 student participants was selected from Shahid Beheshti University, Tehran, Iran. Data were gathered by administrating a validated questionnaire including eight components of ethics, writing style, website appearance, website identity, professional information, accuracy, usability and interaction. Data were analyzed by software SPSS 20.0 and LISREL 8.7. Findings Confirmatory factor analysis using structural equation modeling indicated that the overall framework is reliable according to the goodness of fit indices for the measurement and structural models showing a high quality on measuring the variable in the context studied. Findings also showed that the components usability, interaction, accuracy, website appearance, writing style, professional information, ethics and website identity had the standard relevance. Practical implications Users paid more attention to semantic- and expertise-related features compared to characteristics of the source and its authority. Such preference should be taken into account by providers when producing information and students when evaluating information. Originality/value The framework underlying this research had the required quality incorporating a set of most important criteria for exploring Web information evaluation behavior by the students, which is also useful for future related studies.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Assessing the credibility of Web information by university students: findings from a case study in Iran

Keshavarz

2020

GKMC

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“…Zhao et al (2018) employed MECs theory to explore the factors that contribute to the churn of social networking site users. Zhang and Yuan (2020) used the theory to determine which resource factors affect the perceived quality of information on academic social networking sites. Al‐Abdullatif and Aladsani (2021) discovered that academic social networking sites have seven key attributes that enable users to obtain 10 benefits and that are associated with nine values.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Applying means‐end chains theory to understanding psychological cognitive structure of online video sharing platforms: A study of user behavior in TikTok

Lin

2023

J of Consumer Behaviour

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The means‐end chains theory was used in this study to explore the attributes most valued by TikTok users and to examine the resulting psychological values generated. Laddering interviews were used for content analysis and “online video sharing platform attributes—user consequences—personal values” psychological cognitive structures, from a perspective of the user were constructed using the structural implication matrix and hierarchical value map. A total of 34 elements were identified from the results of the study. The categorization of attribute elements was also expanded to include motivation for social media communication and interaction, which have not been previously explored. The results showed that diverse video genre, interesting video content, easy‐to‐use interface, visual effects application, and community sharing and recommendation are key platform attributes valued by users. The facilitating observational learning, promoting the joy of life, raising convenience, having fun with friends, relieving emotional stress, and other user consequences were generated by platform attributes. And lastly, personal values such as a sense of accomplishment, fun and enjoyment of life, warm relationships with others, and sense of belonging were gained. In addition, the study also finds that there are differences in the psychological cognitive structures between genders and that the correlations and influences among the elements have different degrees of significance. These findings can give marketers and policymakers a better understanding of the behavior of TikTok users and help them develop better strategies for marketing and promotion of the platform.

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“…Cader, 2013; Madden et al, 2012; O’Reilly and Marx, 2011) or mixed methods (e.g. Zhang and Yuan, 2019).…”

Section: Research Backgroundmentioning

confidence: 99%

Credibility evaluation of scientific information on websites: Designing and evaluating an exploratory model

Keshavarz

Givi

Norouzi

2020

Journal of Librarianship and Information Science

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The present study aimed to develop a literature-based and expert-modified model for credibility evaluation of scientific web information in order to be used for academic purposes by utilizing a mixed heuristic method. First, meta-synthesis was applied to design a conceptual model. In terms of its usability, the model was evaluated by a sample of student users in five top universities of Iran. The data were analyzed by SPSS 20.0 and LISREL 8.7 for Structural Equation Modelling. Based on the seven-stage meta-synthesis, a conceptual model, including 68 indicators, 14 components, and two main dimensions was identified. The model was confirmed by the sample experts by considering the high degree of Kendall’s coefficient of concordance and the agreement percentage of most dimensions of the model which were 0.67 and higher than 90%, respectively. Next, the results of confirmatory factor analysis were analyzed according to the structural model and indices related to the goodness of fit in order to ensure a high quality respecting measuring the identified variables. Based on data analysis, the variables were of high quality in the studied context although there were some differences among the dimensions. The results further revealed that credibility evaluation is a concept with different and multiple dimensions and components suitable for users, designers, and policymakers which should be considered in designing and evaluating web resources.

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The means-end cognitions of perceived information quality in academic social networking sites

Cited by 9 publications

References 56 publications

Assessing the credibility of Web information by university students: findings from a case study in Iran

Assessing the credibility of Web information by university students: findings from a case study in Iran

Applying means‐end chains theory to understanding psychological cognitive structure of online video sharing platforms: A study of user behavior in TikTok

Credibility evaluation of scientific information on websites: Designing and evaluating an exploratory model

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