Knowledge assets, innovation ambidexterity and firm performance in knowledge-intensive companies

Kaveh Asiaei, Nick Bontis, Mohammad Reza Askari, Mehdi Yaghoubi, Omid Barani

Research output: Contribution to journalArticleResearchpeer-review

16 Citations (Scopus)

Abstract

Purpose: This study aims to build upon resource orchestration theory to theorize and empirically test a model that demonstrates how knowledge assets and innovation ambidexterity trigger a synergy in favor of firm performance. Design/methodology/approach: Drawing on a survey of 158 Iranian knowledge-intensive companies, this study uses the partial least squares based on structural equation modeling to test the research hypotheses. Findings: The results show that two elements of knowledge assets, namely, structural and relational capital, indirectly affect firm performance through the full mediation of innovation ambidexterity. The findings indicate that human capital has no relationship with both innovation ambidexterity and firm performance. Practical implications: This study offers fresh insights into the issue of how organizations can create value from an effective orchestration of various strategic resources and capabilities, including knowledge assets and innovation ambidexterity. Originality/value: This study applies resource orchestration theory to concurrently the areas of knowledge resources and organizational ambidexterity to show how innovation ambidexterity plays a role in translating three various knowledge assets into performance.

Original languageEnglish
Pages (from-to)2136-2161
Number of pages26
JournalJournal of Knowledge Management
Volume27
Issue number8
DOIs
Publication statusPublished - 19 Oct 2023

Keywords

  • Firm performance
  • Innovation ambidexterity
  • Iran
  • Knowledge assets
  • Knowledge-intensive companies
  • Resource orchestration theory

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