AI-Native Entrepreneurship Paradigm

Abstract

This monograph introduces AI-Native Entrepreneurship (AINE) as a transformative paradigm designed to address persistent challenges in International Venture Creation (IVC), notably in resource mobilization, cognitive limitations for cross-cultural sensemaking, and complexities in delegation. The research proposes the Symbiotic Accord System (SAS) as a novel abstract framework for sustainable Human-AI value co-creation, which underpins the conceptualization of an Expertise-as-a-Service (EaaS) economy.

Managerial Dilemmas in International Venture Creation

The journey of international entrepreneurship faces critical managerial challenges:

The Capital Conundrum

How can ventures with limited financial capital, scarce human resources, and nascent networks effectively identify, access, and mobilize specialized international expertise without incurring prohibitive costs?

The Bounded Rationality Bind

How do ventures navigate the "liability of foreignness" - cross-cultural misunderstandings, language barriers, diverse regulatory landscapes - when cognitive capacities and local knowledge are inherently limited?

The Principal-Agent Predicament

How can ventures establish trust, ensure quality, and enforce agreements when engaging with international service providers remotely, minimizing transaction costs and mitigating opportunism risks?

The AINE Solution Framework

AI-Native Entrepreneurship (AINE) describes international ventures that natively embed Artificial Intelligence at the core of their strategy, operations, and value co-creation processes from inception.

Symbiotic Accord System (SAS)

The cornerstone artifact enabling AINE is the Symbiotic Accord System (SAS) - a novel abstract framework and architectural blueprint for facilitating virtuous Human-AI value co-creation cycles in global expertise exchange.

Expertise-as-a-Service Exchange (ESX)

The SAS enables an autonomous, automated global exchange for tradable expertise - the Expertise-as-a-Service Exchange (ESX) - operationalizing the EaaS economic model.

Core Economic Mechanisms

The ESX, as an AI-driven Platform Digital Business Model (PDBM) application of SAS, features:

SAS-AM (Auto-Matching)

AI-driven protocols for intelligently connecting expertise Demands with Offers.

SAS-SA (Smart-Assembling)

AI-driven protocols for automating agreement formation and coordinating service co-creation.

SAS-CR (Crowd-Reasoning)

AI-driven protocols for assessing outcomes, validating service fulfillment, and managing verifiable reputation.

AI Attaché Vision

Central to SAS is the "An Attaché for every human" foresight - AI-powered AI Attachés acting as intelligent delegates and operational sidecars for their human Principals.

Research Methodology

Design Science Research (DSR) Approach

The research employs rigorous DSR methodology integrating:

Participatory Action Research (PAR)

• AI playing active roles as participant and intervention stakeholder
• Collaborative development with international entrepreneurs
• Real-world application validation

Generative Agent-Based Modeling Simulation (GABMS)

• AI-driven simulation of complex international venture scenarios
• Testing and validation of economic mechanisms
• Large-scale modeling of system dynamics

Human-AI Triangulation (HAT)

• Multi-perspective validation combining human insight and AI analysis
• Comprehensive validation of research findings
• Cross-verification of system effectiveness

Research Questions

The study addresses three key Research Questions:

RQ1 (Contextual): To what extent can an AI-centric international venturing paradigm, embedded within a servitized expertise economy, effectively mitigate persistent resource, cognitive, and delegation challenges in international entrepreneurship?

RQ2 (Conceptual): What mechanisms underpin a virtuous human-AI co-creation framework that ensures efficiency, sensemaking, and trustworthiness in international entrepreneurship contexts?

RQ3 (Methodological): What role can AI play in the participatory and simulative approaches of design-oriented research processes?

Transformative Vision

This research is motivated by a Grand Vision for a more dynamic, equitable, and human-centric global economy through threefold contributions:

Economic Vision

Transform economic interactions within the EaaS field by dramatically reducing transaction costs, enhancing service productivity, and democratizing access to global value chains.

Societal Vision

Advance cross-cultural, interdisciplinary collaborative society by facilitating equitable economic participation and fostering cross-cultural cooperation.

Humanistic Vision

Enable sustainable augmentation of humanity through AI, where AI Attachés manage operational complexities while Human Principals focus on creativity, strategic thinking, and purpose-driven endeavors.

Research Contributions

Contextual Contribution

AI-Native Entrepreneurship (AINE) as an operational paradigm for an autonomous, globally scalable Economy-as-a-Service (EaaS) model.

Conceptual Contribution

Symbiotic Accord System (SAS) as a foundational blueprint for human-AI co-creation systems grounded in robust economic principles.

Methodological Contribution

PAR-GABMS-HAT integrated approach for investigating and constructing sophisticated human-AI systems within rapidly evolving domains.

Impact and Applications

For International New Ventures

• Strategic framework for AI-enabled globalization
• Access to distributed expertise networks through ESX platform
• Reduced internationalization risks and operational costs

For Expertise Providers

• New revenue streams through knowledge monetization in EaaS economy
• Global market access via AI-mediated matching
• Structured engagement models with verifiable trust mechanisms

For Policymakers

• Framework for supporting AI-native entrepreneurship development
• Guidelines for governing AI-orchestrated marketplaces
• Economic development strategies through expertise exchange facilitation

Future Research Directions

The AINE paradigm opens several research avenues:

1. Sector-Specific Applications: Adapting SAS framework for different industries
2. Cultural Adaptation Models: Developing culturally-aware AI systems
3. Policy Framework Development: Creating regulatory frameworks for AI-native ventures
4. Long-term Impact Assessment: Studying effects on global entrepreneurship ecosystems

Conclusion

The AI-Native Entrepreneurship paradigm represents a fundamental shift toward embedding artificial intelligence as a core component of international business strategy. Through the Symbiotic Accord System framework, this approach addresses persistent challenges in international venture creation while fostering a symbiotic future of Human-AI collaboration.

The "An Attaché for every human" foresight embodies the humanistic core of this research - enabling AI to augment rather than replace human potential, charting a positive trajectory for humanity in an increasingly complex global economy.

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This research contributes to both theoretical understanding and practical application of AI in international entrepreneurship, with specific focus on creating sustainable competitive advantages through Human-AI symbiosis within the emerging Expertise-as-a-Service economy.