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Knowledge acquired by employees from co-workers through social networks may serve to reduce technostress during the use of a new and complex information system. The role of gender-based employee preferences in forming and acquiring system-related knowledge through friendship, advice, and expertise networks, and the impact of network-embedded expertise on performance outcomes are explored.

The research hypotheses were empirically tested through survey data collected from employees of a large organization that had implemented an enterprise system.

The advice networks of female employees were an extension of their friendship networks, whereas that of male employees were configured to include co-workers with system-related expertise. Exposure to high quality knowledge flows resulted in lowered technostress levels among male employees compared to their female counterparts. However, there was only a marginal difference in performance outcomes. The “expertise-deficit” in the advice network of female employees was apparently compensated through their dependence on the helpdesk.

Research on system-related knowledge support through social networks has focused on the structural features of interaction ties with little or no emphasis on networking employees and their individual preferences. Moving away from this structural orientation, this study validates the contention that gender-driven motivations impact employee networking preferences, determine network-embedded expertise levels, and influence employee technostress. This study can help configure implementation environments that maximize network acquisition of high-quality knowledge, reduce technostress, and enhance performance outcomes.