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Factors influencing knowledge sharing among IT geographically dispersed teams

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  • da Silva, Filipa Pires
  • Mosquera, Pilar
  • Soares, Maria Eduarda

Abstract

Knowledge sharing (KS) is a crucial issue for geographically dispersed IT teams. However, there is a lack of studies on the variables that affect the willingness and motivation of these teams to engage in KS behavior. We aim to analyze the joint and the differentiated effects of individual, team and organizational variables that affect KS behavior. We use a sample of 87 IT Portuguese professionals who work on geographically dispersed teams to test a conceptual model with partial least squares (PLS). Subsequently, we use importance-performance map analysis (IPMA) to analyze differences in subgroups of the sample. The PLS results indicate that there are only three predictors of KS behavior: enjoyment, affiliation, and attitude. We find no significant effects for trust, reciprocal benefits, and top management support. The IPMA results show that enjoyment is of the utmost importance, especially for women and seniors, and affiliation is crucial for juniors. The attitude towards KS is also very important in the overall sample but registers a low performance for women and juniors. The practical applications comprise the need to add enjoyment to recruitment criteria, to address attitude towards KS in training and development, and to create socialization opportunities for new team members.

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  • da Silva, Filipa Pires & Mosquera, Pilar & Soares, Maria Eduarda, 2022. "Factors influencing knowledge sharing among IT geographically dispersed teams," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    • Handle: RePEc:eee:tefoso:v:174:y:2022:i:c:s0040162521007332
    DOI: 10.1016/j.techfore.2021.121299
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    1. Chollet, Barthélemy & Revet, Karine, 2023. "Digging deep or scratching the surface? Contingent innovation outcomes of seeking advice from geographically distant ties," Technological Forecasting and Social Change, Elsevier, vol. 189(C).

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