Abstracts

====**Khan, G. F. & Park, H. W. (under review). Social Media Communication strategies of Governments : A comparison of the USA and S. Korean governments, under review in a premium journal. **====

**Abstract **
This study compares the Twitter use of South Korean government and United States federal government. By deploying webometrics technique to extract Twitter activities, such as basic Twitter statistics (i.e. the number of follower, following, and listed Tweets message), and by using the social network analysis technique mapping the relationship between the governments’ Twitter accounts and directions of out-link in their Tweet messages, this paper compares the two governments’ strategy of using Twitter. According to our initial analysis, strategies of using Twitter between the two governments can be differentiated in several aspects. For example, South Korean ministries were well connected in a dense network, had collective cooperation, and retweeted common contents, regardless of their main administrative areas to reinforce their collective agenda. However, Twitter use in the US ministries seemed less collective and more individualistic, and retweeted messages that specifically fit the purpose of each department. Also, we have found (through the out-link analysis) that US ministries prefer to link the information resources outside the government realm, in contrast to the Korean government, who tends to stay within the umbrella of the government when linking to information resources. Keywords: Government, social media, Twitter, South Korea, USA, smart government.

This article presents a review of the social media-based systems; an emerging area of information system research, design, and practice shaped by social media phenomenon. Social media-based system (SMS) is the application of a wider range of social software and social media phenomenon in organizational and non-organization context to facilitate every day interactions. To characterize SMS, a total of 274 articles (published during 2003-2011) were analyzed that were classified as computer science information system related in the Web of Science data base and had at least one social media phenomenon related keyword—social media; social network analysis; social network; social network site; and social network system. As a result, we found four main research streams in SMS research dealing with: 1) organizational aspect of SMS, 2) non-organizational aspect of SMS, 3) technical aspect of SMS, and 4) social as a tool. The results indicates that SMS research is fragmented and has not yet found way into the core IS journals, however, it is diverse and interdisciplinary in nature. We also proposed that unlike the conventional and socio-technical IS where information is bureaucratic, formal, bounded within the intranet, and tightly controlled by organizations; in the SMS context, information is social, informal, boundary-less (i.e. boundary is within the internet), has less control, and more sharing of information may lead to higher value/impact. Key worlds: information systems, social media-based systems, social media, social networks, sociomation.
 * Khan, G. F. (under Reveiw). Social Media-Based system: An emerging area of information system research, under review in a premium journal. **
 * Abstract **


 * Khan, G. F. & Park, H. W. (Under Review). From E-government to Social Government: Government Use of Social Media in Korea, ** under review in a premium journal


 * Abstract **

This paper explores a Twitter use of S. Korean central government by laying out the government’s networking strategies on Twitter into government to citizen (G2C), and government to government (G2G). The nature of social media interaction and networking strategies in the ministries was investigated by extracting the Tweets, Followers and Following relationships, and Lists option related to the 32 ministries in South Korea. The review of the network patterns and strategies was conducted by deploying a (descriptive) statistical analysis and social network technique for mapping out the government’s Twitter activities. Our analyses show that the government’s direct networking strategy with citizens does not necessarily bring citizen’s engagements to the government’s social media activities. However, it was found to be instrumental in reinforcing G2G relations.

 Keywords: government, social media, social government, Twitter, Networking, South Korea.


 * Khan, G. F., & Park, H. W. (under review). International Collaboration within Electronic Government Research Domain: A Triple Helix Network Analysis of Collaboration at the Regional, Country, and Institutional Levels, under review in a premium journal **

** Abstract **
This study introduces a hybrid approach (i.e. a social network analysis technique and triple helix indicators) to study certain aspects of the e-government (EG) domain that would otherwise remain hidden when using conventional analytic tools. Particularly, we provide network analysis of the EG research domain by focusing on the network collaboration between regions, nations and institutions. We collected and analyzed 1,091scholarly papers which were classified as being about "e-government" by the Web of Science database. The results indicate that hybrid method can be used to understand certain network-level structures and patterns in the EG domain which are beyond the scope of the predominantly-used systematic literature review (SLR) method. Particularly, the hybrid method is useful in understanding collaboration patterns between countries, institutions and regions in the EG domain, identifying key players by studying their network properties (i.e. degree centralities); and in understanding the pattern of relations among universities, industries, and government. The implications of these results in terms of research and practice, and study limitations are discussed. <span style="font-family: 'Times New Roman',Times,serif;">Keywords: E-Government Research, University-Industry-Government Relationships, Triple Helix Model, Social Network Analysis (SNA), ISI publications ====<span style="font-family: 'Times New Roman',Times,serif;">-Swar, B. & Khan, G.F. (under review). Scientometrics analysis of the IT outsourcing domain. ====