Scholarlink

<p>Agentic AI systems, capable of autonomously pursuing goals, planning multi-step processes, and intervening in enterprise environments, are transitioning from research contexts into operational reality. Yet a&#xa0;critical gap persists: existing AI maturity models treat artificial intelligence as a&#xa0;monolithic phenomenon, fail to capture governance as an independent maturity dimension, and do not contextualize internal readiness relative to external market pressure.</p><p>This paper develops Agentic Transformation Readiness (ATR) as a&#xa0;multidimensional construct artifact grounded in Design Science Research. ATR captures three internal maturity dimensions—Autonomy Ambition, System Capability, and Governance Maturity—contextualized by external transformation pressure. Following a&#xa0;minimum-aggregation rule, an area’s maturity level equals the lowest of its three dimensional values. We formulate the Governance Bottleneck Hypothesis as empirically testable: in high-disruption markets, governance maturity constitutes the binding constraint because it cannot be procured but must grow organizationally. Five industry cases establish face validity. For practitioners, ATR provides a&#xa0;structured diagnostic and planning instrument.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Autonomie braucht Governance: Ein mehrdimensionales Reifegradkonstrukt für die agentische Transformation von Geschäftsmodellen

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月29日

查看全文
  • Malte Ackermann,
  • Sang-Kyu Thomas Choi

摘要

Agentic AI systems, capable of autonomously pursuing goals, planning multi-step processes, and intervening in enterprise environments, are transitioning from research contexts into operational reality. Yet a critical gap persists: existing AI maturity models treat artificial intelligence as a monolithic phenomenon, fail to capture governance as an independent maturity dimension, and do not contextualize internal readiness relative to external market pressure.

This paper develops Agentic Transformation Readiness (ATR) as a multidimensional construct artifact grounded in Design Science Research. ATR captures three internal maturity dimensions—Autonomy Ambition, System Capability, and Governance Maturity—contextualized by external transformation pressure. Following a minimum-aggregation rule, an area’s maturity level equals the lowest of its three dimensional values. We formulate the Governance Bottleneck Hypothesis as empirically testable: in high-disruption markets, governance maturity constitutes the binding constraint because it cannot be procured but must grow organizationally. Five industry cases establish face validity. For practitioners, ATR provides a structured diagnostic and planning instrument.