Social Computing

Click here to return to the track list page.

Track Chairs

Marios Koufaris, Baruch College, CUNY,
Nanda Kumar, Baruch College, CUNY,

Track Description

As the quantity of data captured about and shared by individuals has exploded over the last decade, there has been a resurgence of interest in information technologies – such as social networking platforms, collaborative filtering and reputation management systems – that facilitate social interaction among individuals. With the recognition that Social Computing straddles research at the intersection of social behavior and computing technologies, we would like to encourage papers that approach this topic from a plurality of research methods and perspectives. This track welcomes submissions that explore how these Social Computing technologies have transformed how people work, communicate, and play together.

Mini-Track 1: Social Media within the Organization

Kevin Craig, Baruch College, CUNY,
Shadi Shuraida, Baruch College, CUNY,

Social media technologies such as wikis, forums, blogs, podcasts and online social networks have changed the communication landscape into one based on user-generated content. Because it is changing the way that people create, store and share information, social media is a topic of great importance to future IS research. Currently, social media research has focused on public site activities such as Twitter and Facebook. However, some firms have tried to capitalize on the power of these technologies into their internal networks. Because social media has the potential to change work routines and culture within the organization, industry is interested in the operational and strategic issues involved in its implementation. In this regard, IS research can play a role in building a rich understanding of both the opportunities and challenges presented by social media within the organization.

Mini-Track 2: Social Shopping: The Good the Bad and the Ugly

Gabrielle Peko, The University of Auckland,
David Sundaram, The University of Auckland,

Decision making (DM) is something that we all do in our daily lives. Regardless of whether the decision is big or small, the decision made will have an impact on our lives. Many of us have encountered struggles when making shopping decisions, having many questions in mind and often seeking answers via various channels. The increased usage of technology today can lead us to using the internet for information, opinions, and the viewing of discussions to make shopping decisions easier. How shopping DM is conducted with the support of online social networks (OSN) has not been explored sufficiently in research. Although the usage of OSN is growing rapidly, there is a poor understanding of how OSNs can provide support, influence and manipulate purchase decisions in general. The objective of this mini-track is to obtain insights and develop theoretical understanding on topics and issues related to the influence of OSN on consumption orientated shopping decisions.

Mini-Track 3: Social Media Analytics

Dorit Nevo, Rensselaer Polytechnic Institute,
Yingda Lu, Rensselaer Polytechnic Institute,
Lucy Yan, Indiana University,

As social media becomes a standard communication and collaboration platform, large amounts of data are generated and publically available on various platforms such as Twitter, Facebook, blogs, wikis and more. As with other forms of big data a key question to address is how this data can be used to learn about individual and social behaviors, how predictions can be made on various indicators based on social media data, and how can we apply these data to impact platform design and organizational performance. In this mini track on social media analytics we are interested in high quality empirical and conceptual work that addresses these and other related questions.

Click here to return to the track list page.