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Abstract
In this article we investigate how human and social capital contribute to individual productivity. We study three firms that complete all their tasks as projects. The employees in all firms initiate and organise their projects. We collected archival data from the firms on performance, human capital, tenure, gender and their project activities. Social network data are generated from interviews and a survey. We find that social capital is the most important factor to determine productivity. We found mixed effects from human capital; only in one firm did human capital have a noticeable effect on productivity; tenure has no effects on productivity.
Notes
1. GESTO in Italian means to manage.
2. Sequential tests show the reduction in residual sum of squares (SS) as each effect is entered into the fit. A desirable property is that they are independent and sum to the regression SS. An undesirable property is that they depend on the order of terms in the model. Each effect is adjusted only for the preceding effects in the model. Therefore, it is only appropriate for (1) balanced analysis of variance models specified in proper sequence; (2) purely nested models specified in the proper sequence; and (3) polynomial regression models specified in the proper sequence. Only the last of these conditions is satisfied in our model.
3. The adjusted power is a function of a non-centrality estimate that has been adjusted to remove positive bias in the original estimate (Wright and O'Brien Citation1988). The power test can be interpreted as the probability of obtaining a significant alpha value (p≤0.05) in a similar sample.