Volume 11, Issue 2 - Social Media for Social and Corporate Entrepreneurship; Guest Editors: Gunasekaran Manogaran, Hassan Qudrat-Ullah, Qin Xin

There are generally hundreds of millions of nodes in social media, and they are connected to a huge social network through attention and fan relationships. The news is spread through this huge social network. This paper studies the acquisition technology of social media topic data and enterprise data. The topic positioning technology based on Sina meta search and topic related keywords is introduced, and the crawling efficiency of topic crawlers is analyzed. Aiming at the factors of diverse and variable webpage structure on the Internet, this paper proposes a new Web information extraction algorithm by studying the general laws existing in the webpage structure, combining DOM (Document Object Model) tree and DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm. Several links in the algorithm are introduced in detail, including Web page processing, DOM tree construction, segmented text content acquisition, and web content extraction based on the DBSCAN algorithm. The simulation results show that the intelligence culture, intelligence system, technology platform and intelligence organization ecological collaboration strategy under the extraction of DOM tree and DBSCAN information can improve the level of intelligence participation of all employees. There is a significant positive correlation between the level of participation and the level of the intelligence environment of all employees. According to the research results, the DOM tree and DBSCAN information proposed in this paper can extract the enterprise’s employee intelligence and the effective implementation of relevant collaborative strategies, which can provide guidance for the effective implementation of the employee intelligence.

Social media is a virtual community or network platform that the public uses to achieve self-creation and it’s sharing with others; under the social media environment, self-media channels become more abundant, and the autonomy and originality of content dissemination are also continuously enhanced. When tourism enterprises face increasing market competition, personalized and targeted promotional programs will, to a certain extent, have a certain appeal to competitors’ potential customer groups, thereby providing tourism enterprise customers with relevant benefits for oriental information, and also serving as an important way for companies to develop new customers. Based on the summary and analysis of previous literature works, this paper expounded the research status and significance of social media environment, elaborated the development background, current status and future challenges of customer-oriented information analysis for tourism enterprises, introduced the methods and principles of customer’s transfer value and life cycle and social media environment’s cognitive composition, proposed a sentiment model of tourist-oriented information analysis under the social media environment, and analysed the management strategy and scheduling platform of customer-oriented information, constructed an analysis system of customer-oriented information in social media environment, performed the reliability, validity, transfer and perception value analysis of customer-oriented information and finally conducted case simulation and its result analysis. The study results of this paper provide a reference for further researches on the customer-oriented information analysis for tourism enterprises under the social media environment.

Under modern information conditions, competitive intelligence has an important strategic role for an enterprise to reduce market, financial and other risks. How to correctly evaluate the value of competitive intelligence and make the right decision for an enterprise directly determines the survival and development of an enterprise. By establishing a co-occurrence relationship between the two, the core themes of corporate microblog communication are discovered. Proceeding from the basic theory of the value of competitive intelligence, it is proposed that due to the connection of business departments within the enterprise system, the transfer value of competitive intelligence within the enterprise system is changed, and a mathematical analysis method is used to establish a value transfer analysis model. The value-added process of enterprise competitive intelligence and the internal and external operational processes of the enterprise are unified, and the internal and external competitive intelligence value-added operation modes of enterprises led by different strategies are studied. This provides a new and widely-referenced operational reference for different companies to effectively formulate and implement their competition and cooperation strategies through internal and external competitive intelligence operations.

Due to the financing constraint that faced by small and medium-sized enterprises (SMEs), SMEs are more cautious in innovation investments, and thus more eager to gain external financial support. This paper discusses the impact of SMEs’ R&D investment on government subsidy under the constraint of hidden information. It adopts a modified endogenous switching regression model to solve the endogenous problems. The results show that SME’s initiative to signal its underlying innovative capacity has an important impact on Chinese government’s subsidy feedback. SMEs that send high-type signals have gained more subsidies. And when SMEs are with different types of innovation signals, they would have different influence mechanisms on subsidy feedback. This study concludes that the policymakers should make more use of its belief and give effective feedbacks to the entrepreneurs.

Based on the social network analysis method, this paper studies the impact of corporate knowledge-sharing in social media, sorts out the relationship between corporate internal social capital, knowledge-sharing, and individual innovation behavior, and explores the reliability of the scale through exploratory factor analysis validity test to ensure the reliability and rationality of the questionnaire, using improved social networks to construct structural equation models and regression analysis to verify the research model and related assumptions, and found that social media tacit knowledge-sharing in structural capital, cognitive capital the intermediary effect in the influence of individual innovation behavior is remarkable. The sharing attitude has a broad intermediary role between the interactive relationship and the willingness to share. There is a partial intermediary role between the reciprocity and the willingness to share, the common language, and the willingness to share, the common vision, and the willingness to share.