itAIS

This paper describes the design and evaluation of NFriendConnector, a prototype application that allows for better integration between online and offline social networks. Online social networks are currently used to maintain and strengthen existing real-life social connections, rather than establishing ties that exist only online. However, users incur significant time and search related costs in replicating a naturally occurring social interaction using a social networking site (SNS). Therefore, there exists a gap between initiating social contact in real-life versus initiating social contact via an online social network. Using the design science paradigm, our research addresses this gap by introducing NFriendConnector. This application allows users to map their offline interactions, as and when they take place, onto their SNS presence, therefore making it possible to complement offline social interactions with SNS profile information. The prototype is implemented using Near Field Communication (NFC)-enabled mobile phones and Facebook. We evaluate the prototype in an experimental setting using expectation confirmation theory (ECT) as the theoretical framework. Findings show that NFriendConnector was able to satisfy users, therefore indicating a successful design exercise. We discuss the implications of this research in the context of current developments in online social networking.

As work teams become more distributed, effective computer-mediated communication is increasingly impacting their performance. This study investigates how team climate influences communication frequency among team members and their use of different communication media. Data were collected in two information systems courses offered at an Austrian university in which 50 student teams developed web-based applications and conducted usability tests. A team climate framework based on task and social orientation was used to assess the teams’ performance and communication patterns. We found that both task and social dimensions of team climate were positively related to higher communication frequency as well as objective and subjective performance. Among other things, the results suggest that a task-oriented climate is especially linked to the use of e-mail, while social orientation is linked to the use of face-to-face meetings. We also found differences in communication patterns and performance across four different types of team climates (fully functioning, cozy, cold, and dysfunctional). The results underscore the importance of both task and social dimensions for a team to perform well. Our study contributes to both the academic literature that investigates factors affecting media choice and the practitioner literature that examines how to manage virtual teamwork effectively.

There is an exciting natural match between social network analysis methods and the growth of data sources produced by social interactions via information technologies, from online communities to corporate information systems. Information Systems researchers have not been slow to embrace this combination of method and data. Such systems increasingly provide “digital trace data” that provide new research opportunities. Yet digital trace data are substantively different from the survey and interview data for which network analysis measures and interpretations were originally developed. This paper examines 10 validity issues associated with the combination of digital trace data and social network analysis methods, with examples from the IS literature, to provide recommendations for improving the validity of future research.

Organizational information practices can result in a variety of privacy problems that can increase consumers’ concerns for information privacy. To explore the link between individuals and organizations regarding privacy, we study how institutional privacy assurances such as privacy policies and industry self-regulation can contribute to reducing individual privacy concerns. Drawing on Communication Privacy Management (CPM) theory, we develop a research model suggesting that an individual’s privacy concerns form through a cognitive process involving perceived privacy risk, privacy control, and his or her disposition to value privacy. Furthermore, individuals’ perceptions of institutional privacy assurances -- namely, perceived effectiveness of privacy policies and perceived effectiveness of industry privacy self-regulation -- are posited to affect the risk-control assessment from information disclosure, thus, being an essential component of privacy concerns. We empirically tested the research model through a survey that was administered to 823 users of four different types of websites: 1) electronic commerce sites, 2) social networking sites, 3) financial sites, and 4) healthcare sites. The results provide support for the majority of the hypothesized relationships. The study reported here is novel to the extent that existing empirical research has not explored the link between individuals’ privacy perceptions and institutional privacy assurances. We discuss implications for theory and practice and provide suggestions for future research.

This article is a summary of a 2011 Association for Information Systems Americas Conference on Information Systems (AMCIS) panel discussion regarding current issues and future directions in the use of mobile technologies and social networks in education. The invited panelists are four faculty members from the United States specializing in Information Systems. The covered topics included evolution and history of e-learning, use of smartphones and tablets in education, development of social network services, and the use of social media (i.e., teaching with blogs and wikis) in the classroom. We discuss future directions in Twitter, Google, iPhone/iPad, and Facebook technology environments. Several resources for social media for college instructors are provided in the Appendix.