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Information technology ( IT) outsourcing has become a widely accepted management strategy. As a consequence, a great deal of research on the IT outsourcing domain, covering a wide range of issues, has been conducted. This study investigates the IT outsourcing knowledge infrastructure from a network point of view. Triple helix indicators and social network analysis techniques are employed on 288 scholarly papers obtained from the Web of Science database using keywords related to IT outsourcing. The results reveal the key players in IT outsourcing research collaborations; their network characteristics, such as degree centrality; and the relationship of academia, industry, and government in terms of IT outsourcing knowledge production. This article also provides results-based implications. [ABSTRACT FROM AUTHOR]

In organizations, the amount of attention that user-generated knowledge receives in knowledge management systems ( KMSs) may not imply its potential for benefiting organizational activities in terms of accelerating innovation and product development. To optimize the utilization of knowledge in organizations, it is crucial to identify factors that influence knowledge popularity. From a network perspective, this study proposes a model to evaluate knowledge popularity by investigating 2 attributes of contextual information (i.e., authors and tags) that are embedded in a heterogeneous knowledge network, and how they interact to impact knowledge popularity. Objective data obtained through the interaction history of a KMS in a global telecommunication company was applied to test the hypotheses. This paper contributes to the extant literature on knowledge popularity by identifying contextual attributions of knowledge, and empirically tests the impact of their interactions on knowledge popularity. [ABSTRACT FROM AUTHOR]

The overall goal of this study is to explain how information literacy instruction ( ILI) influences the adoption of online library resources ( OLR) by business students. A theoretical model was developed that integrates research on ILI outcomes and technology adoption. To test this model, a web-based survey, which included both closed and open-ended questions, was administered to 337 business students. Findings indicate that the ILI received by students is beneficial in the initial or early stages of OLR use; however, students quickly reach a saturation point where more instruction contributes little, if anything, to the final outcome, such as reduced OLR anxiety and increased OLR self-efficacy. Rather, it is the independent, continuous use of OLR after receiving initial, formal ILI that creates continued positive effects. Importantly, OLR self-efficacy and anxiety were found to be important antecedents to OLR adoption. OLR anxiety also partially mediates the relationship between self-efficacy and perceived ease of use. Implications for theory and practice are discussed. [ABSTRACT FROM AUTHOR]

Earlier studies found that web hyperlink data contain various types of information, ranging from academic to political, that can be used to analyze a variety of social phenomena. Specifically, the numbers of inlinks to academic websites are associated with academic performance, while the counts of inlinks to company websites correlate with business variables. However, the scarcity of sources from which to collect inlink data in recent years has required us to seek new data sources. The recent demise of the inlink search function of Yahoo! made this need more pressing. Different alternative variables or data sources have been proposed. This study compared three types of web data to determine which are better as academic and business quality estimates, and what are the relationships among the three data sources. The study found that Alexa inlink and Google URL citation data can replace Yahoo! inlink data and that the former is better than the latter. Alexa is even better than Yahoo!, which has been the main data source in recent years. The unique nature of Alexa data could explain its relative advantages over other data sources. [ABSTRACT FROM AUTHOR]