Social media for knowledge-sharing: A systematic literature review

Ahmed, Yunis Ali; Ahmad, Mohammad Nazir; Ahmad, Norasnita; Zakaria, Nor Hidayati

doi:10.1016/j.tele.2018.01.015

Cited by 282 publications

(253 citation statements)

References 112 publications

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“…Related to the fulfillment of hedonic expectation, entertainment refers to the relaxation, enjoyment, escapism, and anxiety relief that people perceive when engaging in an activity or with others [64]. Entertainment has been identified as a prominent predictor of many types of social media usage, such as news sharing [38], photo sharing [65], and knowledge sharing [20]. Research results showed that 33.33% of users reported that they used WeChat for entertainment [35].…”

Section: Egoistic Motivationsmentioning

confidence: 99%

“…It is noteworthy that gratification varies greatly according to the content that is shared and the platforms where the sharing takes place [16]. Scholars have examined various types of content, including health information [17], fake news [18], music and films [19], and knowledge [20]. However, motivations to share environmental information on social networks are less researched.…”

Section: Introductionmentioning

confidence: 99%

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An Investigation of the Influencing Factors of Chinese WeChat Users’ Environmental Information-Sharing Behavior Based on an Integrated Model of UGT, NAM, and TPB

Chen

2020

Sustainability

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Sustainable development is a common challenge for all. Under this background, how to promote public participation in environmental communication has become an important topic. The purpose of this study is to understand the motivating mechanism behind Chinese WeChat users’ environmental information-sharing behavior by taking China’s unique social and cultural background into account. A comprehensive theoretical model for this study is constructed based on the uses and gratification theory, the norm activation model, and the theory of planned behavior. Through an online survey, data were collected from 526 participants to test the research model. The research results show that Chinese WeChat users’ environmental information-sharing behavior is motivated by both egoistic factors (self-presentation, information seeking, and socializing) and altruistic factors (awareness of consequences and ascription of responsibility). During the behavioral decision-making process, these motivating factors impact people’s actual sharing behavior via their attitudes toward the behavior, subjective norms, personal norms, and behavioral intention in various patterns. The findings are discussed from an interdisciplinary perspective of media usage, prosocial behavior, and behavioral psychology. This article not only proposes a new conceptual framework to explain social media users’ behavior of sharing environmental information but also provides important theoretical and practical implications regarding motivating public participation in environmental communication on social media.

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Section: Egoistic Motivationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Investigation of the Influencing Factors of Chinese WeChat Users’ Environmental Information-Sharing Behavior Based on an Integrated Model of UGT, NAM, and TPB

Chen

2020

Sustainability

View full text Add to dashboard Cite

show abstract

“…Today the impact on the education of social media platforms is a crucial element in information technology adoption research. This research has been developed around terms such as openness, interactivity, ubiquity, sociability, and either synchronicity or asynchronicity [21,24,25]. Thus, solutions like Wikis, Twitter, Facebook, Blogger, and YouTube are relevant constituents of these social media tools [26].…”

Section: Social Video Platforms For Learningmentioning

confidence: 99%

Predicting and Explaining the Acceptance of Social Video Platforms for Learning: The Case of Brazilian YouTube Users

2019

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This study aims to predict and explain the acceptance of social video platforms for learning. A research model is proposed that explains that the intention of using these platforms is based on the perception of performance, social influence, and hedonic motivation. To validate the model, 568 Brazilian YouTube users were surveyed. The data were analyzed with partial least squares structural equations modeling (PLS-SEM). In particular, the predictive power of the model was assessed using the PLSpredict procedure. The results of this study can help to understand and forecast the use of these platforms for learning in developing countries.

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“…whilst Baethge et al [26], after a careful assessment of the timeline associated with social commerce searched between 2007 and 2014, and Ahmed et al [31] literature base was between 2010 and 2016. On the other hand, Effing and Spil [23] do not identify any specific timespan.…”

Section: Developing Search Strategies and Identifying Relevant Documementioning

confidence: 99%

“…organisation orientation, social power, cultural differences and impacts of social media. In contrast, some studies are less prescriptive; they do not specifically propose an agenda for further research, but rather suggest that their theoretical framework may inspire related research in the future [19,29,31].…”

Section: Bibliographic Analysis Of the Final Dataset Bibliographic Anmentioning

confidence: 99%

An overview of systematic literature reviews in social media marketing

Rowley

Keegan

2019

Journal of Information Science

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Systematic literature reviews (SLRs) adopt a specified and transparent approach, in order to scope the literature in a field or sub-field. However, there has been little critical comment on their purpose and processes in practice. By undertaking an overview of SLRs in the field of social media (SM) marketing, this article undertakes a critical evaluation of the SLR purposes and processes in a set of recent SLRs and presents a future research agenda for social media marketing. The overview shows that the purposes of SLRs include: making sense (of research in a field), developing a concept matrix/taxonomy, and supporting research and practice. On SLR processes, whilst there is some consensus on the stages of the process, there is considerable variation in how these processes are executed. This article offers a resource to inform practice and acts as a platform for further critical debate regarding the nature and value of SLRs. KeywordsLiterature review; social media marketing; social media user behaviour; systematic literature review

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Social media for knowledge-sharing: A systematic literature review

Cited by 282 publications

References 112 publications

An Investigation of the Influencing Factors of Chinese WeChat Users’ Environmental Information-Sharing Behavior Based on an Integrated Model of UGT, NAM, and TPB

An Investigation of the Influencing Factors of Chinese WeChat Users’ Environmental Information-Sharing Behavior Based on an Integrated Model of UGT, NAM, and TPB

Predicting and Explaining the Acceptance of Social Video Platforms for Learning: The Case of Brazilian YouTube Users

An overview of systematic literature reviews in social media marketing

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