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The purpose of the study is to examine the relationship between the value of created knowledge and financial performance. It also assesses how knowledge breadth moderates the aforementioned relationship.

Focusing on the US biotechnology industry, the study matches patents data from the National Bureau of Economic Research and the United States Patent and Trademark Office with firms’ data from COMPUSTAT. Generalized least squares estimation is used as an analytical technique, and random-effects models are used to evaluate effects of the independent variables based on both within- and between-organization variances.

The findings reveal that biotechnological firms that create knowledge of higher values are likely to have higher financial performance than those creating knowledge of less value. Moreover, knowledge breadth is shown to positively moderate the relationship between knowledge value and firm performance.

Some of the limitations include not controlling for more firm-related and environmental factors that might have influenced firm performance.

The study provides evidence that the quality of knowledge should be significantly considered when creating new knowledge. That is, managers should prioritize the creation of highly valuable knowledge, even if it occasionally results in creating fewer numbers of patents. The paper also suggests that creating valuable knowledge that is broad and flexible should be an important objective for managers as it provides more opportunities to generate future rents.

The study emphasizes how the value of created knowledge impacts the financial performance of firms. It also illustrates how knowledge breadth moderates that relationship. The paper contributes to a stream of research that links knowledge management abilities and firm performance.

Building on network theory, this study aims to examine how network resources and network knowledge utilization influence mobility within networks of knowledge workers. Specifically, it examines how the availability of resources in a network and knowledge utilization, in a period impacts the structure of the focal network in the following period.

The study uses data from the National Basketball Association to depict the mobility of knowledge workers in a network. Because of the nature of the dependent variable, the study used a conditional fixed-effects quasi-maximum-likelihood Poisson regression as an analytical methodology.

The study finds that network resources are partially significant in predicting knowledge workers’ mobility and that knowledge utilization of networks of knowledge workers in one period negatively affects networks’ structure in the following period.

The study advances our understanding of the knowledge workers’ mobility phenomenon by examining network-level factors that influence the mobility of knowledge workers. It addresses the issue from a different theoretical perspective that is rarely used in studies of knowledge workers, which mostly draw from the traditional human resource literature. Additionally, it contributes to the emerging literature of network dynamics by studying factors that affect network changes. The study also responds to the calls that advocate using sports data to examine organizational phenomena.