Disruptive business value models in the digital era.

Area of Science:

• Business Strategy
• Innovation Management
• Service Sector Economics

Background:

• The coronavirus pandemic highlighted global environmental disruption and accelerated technological adoption.
• Business leaders face challenges with traditional business models in the era of artificial intelligence (AI).
• Existing literature lacks a unified approach to integrating customer relationship management, global business services, and AI.

Purpose of the Study:

• To examine the discontinuous shifts in business model scope and culture.
• To develop theoretical constructs for business model innovation in the services sector.
• To propose an innovation continuum, a responsive business innovation model, and a value architecture.

Main Methods:

• An integrative review methodology was employed.
• Interdisciplinary streams of literature were explored.
• Theoretical constructs were developed for business model innovation.

Main Results:

• Identified an innovation continuum and a responsive business innovation model for sustainable value creation.
• Highlighted the importance of interdependencies in value networks for collaborative resource co-creation (e.g., crowdsourcing, social media).
• Emphasized the need for a center of excellence for disruptive technologies and governance structures to manage value driver trade-offs.

Conclusions:

• Businesses must continuously evolve on the innovation continuum to avoid apathy and myopia.
• Collaborative value networks and centers of excellence are crucial for navigating disruptive technologies.
• Integrating customer relationship management, global business services, and AI is essential for businesses adapting to the digital revolution.