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Applying three mathematical modeling techniques, this study proposes and tests the fit of an academic performance model, and then estimates the relative importance of four performance predictors: academic ability, performance goal orientation, educational technology use, and social network density. Drawing on social network theory, findings from this study show that social network density is a statistically important and unique predictor of academic performance, suggesting that "who you know" matters in large classroom settings. However, this study also indicates that academic ability is the most dominant factor in the explanation of academic performance. Practical and theoretical implications for enhancing academic performance through social networks are discussed.

Purpose – The purpose of this paper is to investigate the role of job search on perceived overqualification by applying the theory of planned behavior and including financial need and openness to experience as moderators. Design/methodology/approach – Three questionnaires were given at weeks 1, 8 and 12 to 436 practice firm participants. A total of 119 completed all three questionnaires. The authors used partial least squares to analyze the data. Findings – Job search self-efficacy was positively related to job search intentions and to outcome expectations. Job search intentions were positively related to job search intensity. Financial need acted as a moderator of the relationship between job search intensity and perceived overqualification such that for those with high-financial need higher levels of job search intensity resulted in higher perceived overqualification. Research limitations/implications – The authors found little support for the theory of planned behavior in the model. The authors found strong support for the role of job search self-efficacy and job search intentions. The use of a three-wave design resulted in a relatively low sample size and the use of the practice firm reduces the generalizability of the findings. Practical implications – The results suggest that increasing job search self-efficacy and job search intentions while managing the anticipations of job seekers is likely to yield better job search outcomes. Originality/value – This study investigates the role of job search on perceived overqualification. Findings suggest that malleable attitudes during job search such as job search self-efficacy, job search intentions, and anticipations are likely to impact perceived overqualification.

The Problem. Many phenomena in human resource development (HRD) research unfold in the social context. Most of the variables HRD researchers study, even if these are individual-level variables, are inevitably affected by the formal and informal network of actors in which an individual finds oneself. This relational influence is commonly ignored in studies of performance, learning, change, and other questions. The Solution. Social networks analysis (SNA) is a methodology that makes it possible to take the relational aspect into account. It allows researchers to model the social capital of an actor and examine how connectivity and position in the network interacts with or influences important outcomes. The Stakeholders. Researchers in the field of HRD will be able to uncover a wealth of new information and gain a new perspective by including SNA in their toolkit. This article provides the researchers with an introduction to the methods and provides suggestions for their application.

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