（本文发表于《The Journal of Academic Librarianship》2021年第47卷第2期）

Abstract:This study extended the concept of knowledge-based dynamic capabilities from a firm level to individual level and investigated the relationship between big data management capabilities and innovative performance of university librarians in selected Ghanaian universities. The role of big data value perception as a mediator was also assessed using the PLS-SEM. Data were validated with Cronbach's alpha above 0.8 and with factor analysis and further convergent and discriminant validity tests. AVE values were higher than 0.5 and CR above AVE and discriminant validity test scores below 0.6. Statistical significance was at a P-value of 0.05. Knowledge-based dynamic capabilities (KDC) were found not to have a direct significant influence on innovative performance (IP) (r2 = 0.109) of librarians. However, KDC positively influenced the perceived value for big data management (BDVP) (r2 = 0.674) with the later having a significant effect on the innovative performance of librarians (r2 = 0.777). BDVP among librarians was found to significantly mediate the relationship between KDC and IP such that KDC indirectly recorded a higher path coefficient (r2 = 0.524) than its initial direct effect of 0.109. Library managers and librarians are encouraged to develop big data management capability of staff to help create positive perceptions about the relevance of the field to enhance innovation and improved performance.

2021-Big data management capabilities and librarians' innovative performance.pdf