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Enterprise AI Analysis: Where innovation meets inertia: Relational challenges to B2B platform adoption-An explorative multiple case study

Electronic Markets (2026) 36:9

Where innovation meets inertia: Relational challenges to B2B platform adoption—An explorative multiple case study

This study explores how relational dynamics shape the development of B2B digital platforms in established markets. While platforms promise innovation, they often encounter resistance rooted in legacy relationships and inter-organizational complexity. Our findings offer conceptual starting points for future research on relational dynamics in platform ecosystems and provide actionable insights for managers navigating platform development in established industries.

Executive Impact: Key Findings at a Glance

Our analysis uncovers critical insights into B2B platform adoption challenges, offering a roadmap for successful enterprise innovation.

0 Relationship-Induced Challenges Identified
0 Semi-Structured Interviews Conducted
0 Early-Stage Platform Initiatives Analyzed
0 Pages of Interview Transcripts Processed

Deep Analysis & Enterprise Applications

Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.

Relational Challenges Framework
Market & Ecosystem Insights
Business Logics & Routines
Organizational Complexity
B2B vs B2C Platform Dynamics
Case Study Overview
Methodology & Limitations
Strategic Implications
Key Takeaway

Enterprise Process Flow

Market & Ecosystem Level
Dyadic Interorganizational Relationships
Organizational Level

The study identifies nine relationship-induced challenges categorized across these three distinct levels, highlighting the multi-faceted nature of B2B platform adoption hurdles.

Market & Ecosystem Level Challenges

At the market and ecosystem level, B2B platforms face challenges rooted in the overall constellation of actors. These include Fear of strategic loss of control by potential participants, the complex interplay of the Market position and reputation of the platform owner (which can create both trust and skepticism), and the influence of Keystone actors within the existing market who control access to critical target groups.

Business Logics & Routines Challenges

The second cluster of challenges arises from embedded business logics and routines in dyadic interorganizational relationships. These include Conflicts of local and global optima, where individual company goals clash with the platform's overarching efficiency goals. Overcoming Existing dyadic relationships and transferring them to the platform is difficult, as is addressing potential participants' Fear of intermediation and loss of direct control over their partners.

Organizational Complexity Challenges

At the organizational level, B2B platforms grapple with the intrinsic complexity of participating firms. This includes High actor's heterogeneity due to diverse organizational structures and requirements, the challenge of integrating Implicit knowledge and relationships of the people involved, and reaching Critical actors' (individuals) embeddedness within complex organizational structures, roles, and decision-making processes.

B2B vs B2C Platform Dynamics

Feature B2B Platforms B2C Platforms
Entry Barriers Higher, individually negotiated long-term contracts, strategic alignment. Lower, often standardized user agreements.
Customer Homogeneity Fewer and less homogeneous customers/partners. Numerous, often diverse individual users.
Complexity Greater inter-organizational complexity, multi-layered relationships. Relatively simpler interactions, often isolated user-to-platform.
Actor Type Legal entities/organizations, embedded actors with complex internal structures. Individual consumers/users.
Trust & Contracts Critical, formal contracts, long-term dependencies, pre-existing trust. Less emphasis on pre-existing trust, often transactional, reputation-based.
Scaling Challenging due to relational dynamics, legacy systems, change resistance. High potential for rapid, viral scaling through network effects.

Understanding these fundamental differences is crucial for designing effective B2B platform strategies, as B2C principles often do not directly translate.

Overview of 5 Early-Stage B2B Platform Initiatives

This study examined five platform projects within a leading European industrial group. All projects, despite varied goals and stages of development, faced significant challenges in attracting participants and scaling.

  • Platform 1 (Marketplace): Aimed to streamline supply-demand matching for industrial components. Discontinued due to existing rigid relationships and difficulty integrating tacit knowledge.
  • Platform 2 (Innovation Platform): Facilitating versatile interactions and new features for industry players. Ongoing, minimum viable product (MVP) phase, facing challenges with convincing key ecosystem leaders.
  • Platform 3 (Technical Infrastructure): Catalyzing interaction between actor groups, transforming a linear business model. Discontinued due to existing industry routines, long product lifecycles, and diverse stakeholder objectives.
  • Platform 4 (Open Revenue Platform): Orchestrating a synergistic environment for various players, including third-party offerings and data analytics. Currently in launch phase, facing reservations about platform owner interference in customer relationships.
  • Platform 5 (White-label Approach): Integrating companies and individuals to build digital partner ecosystems around existing business. Ongoing, launch phase, challenged by addressing diverse divisions of labor and responsibilities across companies.

The cases highlight that despite strong backing and clear value propositions, relational and organizational inertia proved significant barriers.

Methodology and Limitations

This study employed an exploratory, qualitative multiple case study design, based on 30 semi-structured interviews across five early-stage B2B platform initiatives within a single European industrial group. Data collection spanned August 2022 to June 2023, yielding 486 pages of transcribed material, complemented by internal documents and public information.

A primary limitation is the generalizability of findings, as all cases were from one company group in the aviation industry. This focus, while enhancing comparability, limits direct transferability to other industries or platform types. Additionally, the interview sample, though diverse, was specific to internal dynamics, and a retrospective bias in interviews could not be fully eliminated. Future research should verify transferability through quantitative methods and explore AI-driven actor dynamics.

Strategic Implications for B2B Platform Success

Our findings provide actionable insights for managers. First, conduct a thorough relational audit to identify existing relationships, power dynamics, and potential conflicts. Second, tailor platform value propositions and governance to explicitly address the unique needs and fears (e.g., strategic loss of control, intermediation) of diverse B2B actors, especially keystone players.

Third, establish clear incentive structures that align local and global optima, overcoming resistance from ingrained business logics and routines. Finally, recognize and actively manage the inherent organizational complexity by considering heterogeneity, implicit knowledge, and embedded critical actors when designing platform features and engagement strategies. Continuous relational work is key, not just upfront design.

Fundamental Difference Highlighted:

"Although it is often assumed that B2B platforms can be understood and explained based on principles and insights developed from the study of B2C platforms... there are some fundamental differences between these two environments that limit this comparability."

— De Reuver et al., 2018; Wallbach et al., 2019

This core insight underscores the necessity of a tailored approach to B2B platform development, accounting for its unique relational and organizational complexities rather than directly applying B2C paradigms.

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Your AI Implementation Roadmap

A structured approach to integrating AI into your B2B operations, designed for maximum impact and minimal disruption.

Phase 1: Relational Audit & Stakeholder Mapping

Conduct a deep dive into existing B2B relationships, identify keystone actors, and map organizational structures to understand potential resistance and leverage points.

Phase 2: Value Proposition & Governance Design

Develop tailored value propositions that address specific actor needs and fears (e.g., loss of control, intermediation). Design robust governance models to ensure alignment and trust.

Phase 3: Incentive Alignment & Pilot Implementation

Implement incentive structures that harmonize local and global objectives. Launch pilot projects with critical partners to test assumptions and demonstrate tangible benefits.

Phase 4: Iterative Scaling & Ecosystem Nurturing

Scale the platform iteratively, continuously addressing emerging relational dynamics and organizational complexities. Foster an ecosystem of trust and co-creation for long-term growth.

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