Diffusion of knowledge in social media networks: effects of reputation mechanisms and distribution of knowledge roles

Havakhor, Taha; Soror, Amr A.; Sabherwal, Rajiv

doi:10.1111/isj.12127

Cited by 56 publications

(28 citation statements)

References 154 publications

(172 reference statements)

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“…Nowadays, social network sites and blogs promote the sharing of knowledge between online users in the form of teaching and learning activities, comments, responding to questions, and frequent updates [39], [40]. As a result, knowledge transfer and the search and retrieval of knowledge was vastly expedited [41], [42]. Islam et al [43] reveal that an organization or community could benefit from the effective utilization of social networks and proper management of knowledge.…”

Section: Methodsmentioning

confidence: 99%

Credibility Dimensions for Islamic Information in Social Media

Kadir

Salim

2018

Int. J. Adv. Sci. Eng. Inf. Technol.

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A new way of spreading knowledge and collaborating with each other to achieve specific objectives has been introduced with the rise of social media, which is a useful communication tool. A growing number of people are using social media in search of information relating to religious learning and practices. The younger generation is one of the primary users of social media; therefore, many Islamic scholars are reaching out to Muslim youths using this channel. However, as people assimilate themselves to the use of social media in gaining knowledge, questions begin to emerge on the credibility of the Islamic information discovered. Anyone regardless of their background can post or share information or articles on social media, so much information is not always credible or true. Self-proclaimed Islamic scholars could use social media for their gains such as to support and propagate sentiments, misinform, spread rumors or startup conspiracies. This could confuse social media users, especially the younger generation, whose main information source is social media. Despite the significant importance of this area, limited research has empirically examined the factors that affect the credibility of social media information particularly relating to the Islamic context. In addressing this gap, this study inspects the factors obtained from the literature and classifies the dimensions of social media information credibility. Based on the established credibility theories of the Elaboration Likelihood Model (ELM), Prominence-Interpretation theory, and Social Cognitive theory, a research model is developed to determine Islamic information credibility on social media platforms. It is imperative that the study classify the credibility dimensions, in order to further validate the factors that influence social media users in confirming the credibility of Islamic information. This study also aims to clear doubts and dispel misinformation regarding the Islamic religion by providing a basis for the society to ascertain Islamic information credibility and authenticity.

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Section: Methodsmentioning

confidence: 99%

Credibility Dimensions for Islamic Information in Social Media

Kadir

Salim

2018

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…We can also easy observe that the diffusion of social media is concentrated in advanced nation and this fact due to the high availability of resource [7].…”

Section: Introductionmentioning

confidence: 95%

Economic Value of the Actual Cycle Crisis-Model for New Generation of Social Media

Luisetto¹

2016

Bus Eco J

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“…Through the integration of explicit knowledge resources, enterprises can create new knowledge resources for themselves such as new technologies and products to achieve technological innovation and production process innovation [41]. The stronger the knowledge transformation capabilities, the more the knowledge resources are available for R&D and innovation, which improves the ability of enterprises to adapt to competitive changes and market trends [42,43].…”

Section: Knowledge Transformationmentioning

confidence: 99%

Impact of Open Innovation Communities on Enterprise Innovation Performance: A System Dynamics Perspective

Gong

2019

Sustainability

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Open innovation communities (OICs) can help enterprises make full use of external knowledge resources from users, but problems such as low user participation and low conversion rate of creative ideas impact the efficiency of OICs. Most studies on this topic employ qualitative or empirical methods from a static perspective, but ignore the effect of interaction between enterprises and users as well as the cumulative effect of time. A discussion on the dynamic evolution process of open innovation is lacking. Based on a review of the literature on OICs, innovation performance, and system dynamics, this study proposes a conceptual model of innovation performance impact, which comprises the knowledge management, governance mechanism, and user behavior subsystems. Xiaomi’s OIC in China was selected as the research object, and relevant data were collected through a web spider. According to the system dynamics modeling method, a causal relationship analysis was carried out on the three aforementioned interrelated subsystems. Then, a stock flow chart with 32 variables was constructed to determine the initial values and calculation equations for each variable. Finally, the model was constructed and verified using Vensim PLE software. The simulation results were as follows. (1) The number of product releases in the Xiaomi OIC was positively correlated with the number of posts, comments, and views. Compared with user interaction behavior (i.e., commenting and viewing), the impact of user innovation behavior (i.e., posting) on enterprise innovation performance (i.e., number of patents) is clearer. Specifically, regarding interaction behavior, the impact of the users’ commenting behavior on innovation performance (i.e., number of product releases) was relatively clearer than that of their viewing behavior. (2) Governance mechanism (i.e., R&D investment and management expense), which comprises technical and organizational mechanisms, positively affected the innovation performance of enterprises. Compared with the organizational mechanism (i.e., management expense), the impact of the technical mechanism (i.e., R&D investment) on the innovation performance was clearer. (3) Governance mechanism helped to increase the number of users in the OIC, and, in turn, affected the user innovation and interaction behavior. (4) The technical mechanism positively affected knowledge application capability, which, in turn, had a positive impact on the innovation performance of enterprises. Based on these findings, management strategies are proposed for the establishment and development of OICs.

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Diffusion of knowledge in social media networks: effects of reputation mechanisms and distribution of knowledge roles

Cited by 56 publications

References 154 publications

Credibility Dimensions for Islamic Information in Social Media

Credibility Dimensions for Islamic Information in Social Media

Economic Value of the Actual Cycle Crisis-Model for New Generation of Social Media

Impact of Open Innovation Communities on Enterprise Innovation Performance: A System Dynamics Perspective

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