Topic Modeling Analysis of Social Enterprises: Twitter Evidence

Social media is a major channel used for communication by professional and social groups. The text posted on social media contains extremely rich information. To capture the development of social enterprises (SEs), this paper examines the tweets posted on Twitter and searches the hashtags on the Twitter Application Programming Interface (API) that SEs deem to be the most important. The results suggest that these tweets can be divided into three content groups (strategy, impact and business). This paper expands this into four dimensions (strategy, impact, business and people) and six indicators (social, opportunity, change, enterprise, network and team) and establishes a conceptual framework of SEs. This paper aims to enhance the understanding of the pertinent issues recently affecting SEs and extract findings that can act as a reference for follow-up studies.</jats:p

Contractor Prequalification in Taiwan

It is very important for the project owner to screen out potential failure contractors from the bidding process. Contractor prequalification has been established as a standard practice in solving this problem. This study uses a prequalification that is a financial ratios model to assess the contractor's financial capability in Taiwan. Do not consider non-quantifiable factor, the model is effective in assessing the financial ability of construction contractors' selection.</jats:p

Influence of network density on information diffusion on social network sites

Information diffusion through social network sites is a new and important context that has received scant attention in extant research. This study developed a Facebook application to uncover the influence of network density and transmitter activity on the information diffusion process. The results showed that network density is positively related to transmitter activity on social network sites. In addition, transmitter activity partially mediated the effect of network density on the extent of information viewed and retransmitted. That is, transmitter activity can affect the information diffusion process, and the activity effect is plausible and should become stronger as social networks become denser. The findings of this study provide useful implications, not only for theory in the social network, but also useful references and suggestions to marketing practitioners. </jats:p