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  • Empirical study on modelling business knowledge-sharing networks in a mobile environment - e. G., &l

       2026-04-02 NetworkingName1840
    Key Point:Empirical study on modelling enterprise knowledge-sharing networks in mobile environments -- in the case of one mass, new waveWith the rapid growth of the migration of the internet, more and more companies have begun to use social media as a tool for the promotion of social mediaOne of the channels for knowledge sharing. The study is based on the knowledge-sharing of the "one mass" on sina weiboFor example, the modelling of business knowledge-sha

    Empirical study on modelling enterprise knowledge-sharing networks in mobile environments -

    - in the case of one mass, new wave

    With the rapid growth of the migration of the internet, more and more companies have begun to use social media as a tool for the promotion of social media

    One of the channels for knowledge sharing. The study is based on the knowledge-sharing of the "one mass" on sina weibo

    For example, the modelling of business knowledge-sharing networks and their performance in a migration environment was explored

    Impact of effects。

    I. Background does not make sense

    Knowledge sharing is a way of transferring and sharing knowledge from within the enterprise, as compared to

    The traditional one-way transfer of knowledge has made knowledge sharing more interactive and cooperative. With the business

    Business is becoming more complex, and knowledge-sharing can only help poor businesses to work more efficiently, and it can be driven by

    Close links between business culture and employees. Therefore, how to achieve efficiency in the migration environment

    Knowledge sharing within enterprises is essential for their development。

    Xinhua weibo is china's largest microblogging platform with a wide range of users and powerful images

    Sound. As mobile equipment became available, a growing number of enterprises began to use microblogging as a knowledge-sharing tool

    The channel. For example, many companies publish news, product information on their own microblogging accounts

    Knowledge-sharing platforms marketing strategies

    And business culture will also enhance corporate brand reputations and services through microblogging without user-friendliness

    Quality。

    As one of china's most famous automobile brands, one of the most popular cars in the world was created in 2011

    Official twitter account. On twitter, a crowd attracts a lot of unique content

    A group of fans, with poor user-to-user feedback on market demand and user feedback, is growing

    Stronger links between enterprises and users. So, by studying a mass in the context of migration

    A knowledge-sharing model that can only provide guidance and ideas to enterprises but also to others

    Industry provides valuable lessons and inspiration。

    Ii. Overview of the literature

    Knowledge sharing has become an important concept and practice in corporate governance. In the traditional business

    Knowledge sharing takes place mainly through mail, internal websites, but as social media becomes available

    An increasing number of enterprises are shifting the focus of knowledge sharing to social media platforms。

    There is relatively little research literature on knowledge sharing in social media, most of which is concentrated

    Analysis of the impact of social media platforms on knowledge sharing, such as social media platforms that can eliminate texts

    Standardization and geographical barriers improve the efficiency and quality of knowledge sharing. At the same time, the social media platform

    Knowledge-sharing platforms marketing strategies

    Knowledge sharing can also increase the dynamism and innovation of enterprises and foster communication and collaboration among employees

    Improving the performance of enterprises。

    Iii. Methodology

    This study has selected the knowledge-sharing of a public at sina weibo to be the subject of the study

    Content analysis on the microblogging account, gradual development of a web-based model for enterprise knowledge-sharing

    Results were validated through questionnaires and interviews. Specific research methods are as follows:

    Data collection

    The data collected through reptile methods (i. E., what a crowd published on twitter) is being collected and used to collect data

    Technical treatment of the content, such as cluster analysis and text mining, resulting in corporate knowledge

    Main areas of coverage and direction of content。

    2. Network modelling

    Building on social media platforms based on key areas and content orientations of business knowledge sharing

    Network model for knowledge sharing. The model could include known social networking models and new users

    And knowledge nodes. By analysing parameters such as network structure, nodal relationship, knowledge flow, etc

    Explore the effectiveness of knowledge-sharing models。

    Investigations and interviews

    Knowledge-sharing platforms marketing strategies

    In order to verify the validity of the results of the study, respondents can be interviewed through questionnaires and interviews

    Feedback from workers and users is collected and analysed, thereby changing and optimizing business knowledge sharing

    The practice model。

    Iv. No outlook for conclusions

    Through this study, we have developed a model of knowledge-sharing practices for the public in the context of migration

    Form. The model fully utilizes the social attributes of the microblogging platform through precise positioning and quality

    The content provided only attracts a large number of users and allows enterprises to share knowledge

    Significant results have been achieved. At the same time, the research methods of this study can be used for other enterprises

    The knowledge-sharing model in the migration environment provides valuable references and inspiration。

    However, the study also has some limitations. First of all, we're thinking about microblogging

    Social media platforms, while the impact of other platforms is not considered; second, questionnaires and interviews

    The limitations of the methodology also need to be circumvented. Future research can be a step in the right direction

    Research on knowledge-sharing models for social media platforms could also be expanded。

     
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