Social Media for Social and Corporate Entrepreneurship

Social media has become an inevitable part of our daily lives. Specifically, corporate entrepreneurs search for possible ways to advertise their products and services for better results and long-lasting initiatives. This special issue entitled “Social Media for Social and Corporate Entrepreneurship” aims to explore practical, innovative, and sustainable approaches to corporate entrepreneurship that adds benefits to society in significant ways. Entrepreneurs possess different qualities and traits that make them unique and sustainable in a competitive environment. Through the effective use of social media applications, these properties could be enhanced significantly. The response to this special issue from the research community is significant, and all the papers selected for publication are of good quality and have undergone a double-blinded review process.

The first article is entitled “Analysis of Enterprise Social Media Intelligence Acquisition Based on Data Crawler Technology” and it is authored by Lehe Yu and Zhengxiu Gui. In this paper, the authors present an enterprise social media intelligence acquisition model based on data crawler technology. The key focus of the study is on enterprise-related social media data. The algorithms DOM (Document Object Model) tree and DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm are combined together to achieve the intended objectives. The experimental results indicate comparatively better performance than the existing approaches.

The second article is entitled “Analysis of Customer-oriented Information for Tourism Enterprises under the Social Media Environment” and it is authored by Ziwei Yang. The authors make use of social media analytics to obtain customer preferences for the tourism industry. This work makes use of a social media environment for value analysis of customer-oriented information. The results of this study represent better results with improved accuracy measures.

The third article is entitled “Analysis and Modeling of Enterprise Competitive Intelligence Based on Social Media User Comments” and the authors are Jian-Lan Ding and Bing Shi. It is a well-known fact that sustaining the competitive environment forms the basic principle for any business environment. The value of competitive intelligence from social media analytics is acquired through the use of appropriate mathematical models. This approach helps the business enterprises plan their strategies and implement it successfully to sustain in the competitive environment.

Finally, the last article is entitled “Influence of Social Media on Enterprise Knowledge Sharing Based on Social Network Analysis” and it is authored by Yongtao Deng. The authors present an interesting approach for social network analysis relating to corporate knowledge sharing. This approach presents an interactive platform through which the information on enterprises is shared effectively across the social media platforms. This approach offers more significant results. Mainly it provides a common vision of the enterprise products across social networks.

We would like to express our sincere thanks to the Editor-in-Chief of this journal for offering us the privilege to edit a special issue in this reputed journal. We thank all the authors and reviewers for their timely contributions. We hope this special issue will add significant benefits to the remote sensing research community.