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<p>This study examines how integrating artificial intelligence (AI) with human intelligence (HI) reshapes alliance governance and, consequently, affects the firm’s performance. We propose a hierarchical architecture in which AI–HI augmentation acts as a foundational driver enabling the relational and formal governance flexibility, resulting in effective alliance performance. Considering the explorative nature of work and the need for diverse insights, we have used total interpretive structural modeling (TISM) to derive the architecture based on practitioners’ inputs. Furthermore, to synthesize the findings with the real-life scenarios, the SAP–LAP approach of case study analysis is used. This is used to demonstrate and ground the mechanisms in practice. We find that AI–HI augmentation improves alliance governance flexibility, resulting in effective goal and incentive alignment between the partners and eventually improving alliance performance.</p>

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Human–Artificial Intelligence Augmentation, Alliance Governance Flexibility, and Firm Performance: TISM and SAP-LAP Approach

  • 期刊论文

  • 发表日期：

    2026年5月19日

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  • Amit Kumar Srivastava,
  • Rishav Raj

摘要

This study examines how integrating artificial intelligence (AI) with human intelligence (HI) reshapes alliance governance and, consequently, affects the firm’s performance. We propose a hierarchical architecture in which AI–HI augmentation acts as a foundational driver enabling the relational and formal governance flexibility, resulting in effective alliance performance. Considering the explorative nature of work and the need for diverse insights, we have used total interpretive structural modeling (TISM) to derive the architecture based on practitioners’ inputs. Furthermore, to synthesize the findings with the real-life scenarios, the SAP–LAP approach of case study analysis is used. This is used to demonstrate and ground the mechanisms in practice. We find that AI–HI augmentation improves alliance governance flexibility, resulting in effective goal and incentive alignment between the partners and eventually improving alliance performance.