Knowledge-based HR practices, pi-shaped skills and innovative performance in the contemporary organizations

Purpose - As technology accelerates, the pace of innovation and product and process life cycles have significantly decreased. Firms seek to leverage their employees' efforts, particularly through knowledge-based HR practices and intellectual skills, to attain innovative performances. Despite extensive research, the scope and role of p-shaped skills have yet to be considered; this is an important oversight. Through the lens of a knowledge-based perspective, this study examines the association of knowledge-based HR practices, p-shaped skills and innovative performance. Design/methodology/approach - This paper tested the hypotheses using data obtained from large and SMEs in Riyadh, Saudi. A partial least squares structural equation modeling (PLS-SEM) technique was applied to analyze the data. Findings - The results of the PLS-SEM algorithm suggest that knowledge-based HR practices result in increased p-shaped skills, and p-shaped skills result in increased innovative performance. Accordingly, p-shaped skills mediate the association between knowledge-based HR practices and innovative performances. Originality/value -This is among the first study to operationalize a p-shaped skills scale. The paper extends its functionality as a predictor for innovative performance and the outcome of knowledge-driven HR practices. This research offers valuable theoretical and practical implications.No sponso

Impact of business analytics and π-shaped skills on innovative performance: Findings from PLS-SEM and fsQCA

This paper proposes that the relationship between business analytics and innovative performance is somewhat more complex than originally thought, as firms still struggle to leverage the benefits of business analytics and artificial intelligence capabilities. To expand on the scholarship in this area of knowledge, our paper cross-fertilizes the literature by amalgamating business analytics capabilities with pi-shaped skills. We draw on resource orchestration theory to examine the effects of business analytics and pi-shaped skills on a firm's innovative performance, and the moderating role of pi-shaped skills. Field data (n = 450) were obtained from individuals with supervisory positions in large Saudi firms and SMEs and analyzed with PLS-SEM and fsQCA techniques. PLS-SEM results reveal that business analytics and pi-shaped skills are relevant antecedents for innovative performance. However, the expected moderating role of pi-shaped skills on the relationship between business analytics and innovative performance did not hold. FsQCA results reveal that business analytics and pi-shaped skills are sufficient but not necessary conditions for high innovative performance. This paper con-tributes not only to empirical evidence, but also to theory by furthering our understanding of the emergent pi-shaped skills concept. Our findings echo the need to expand inquiry into business analytics and skill sets capabilities for better innovative outputs. Implications for theory and practice are discussedNo sponso