Journal of Resource Management and Decision Engineering 5 Serial Number 16 2026 05 01 Designing Efficient Business Processes in the Metaverse with EffABPMN2MV: A Model-Driven Framework for Collaborative Software Design, AI-Driven Documentation, and Stakeholder Rights Management Designing Efficient Business Processes in the Metaverse with EffABPMN2MV: A Model-Driven Framework for Collaborative Software Design, AI-Driven Documentation, and Stakeholder Rights Management 1 16 10.61838/kman.jrmde.2 EN Journal Article 2026 01 01 <p class="Abstract"><span lang="EN-GB" style="letter-spacing: -.2pt;">Business process management (BPM) faces three persistent structural challenges: (1) the exclusion of non-technical stakeholders from process design due to the complexity of BPMN 2.0 notation; (2) the fragmentation among requirements engineering, user interface design, and process modeling; and (3) the absence of a transparent mechanism for managing stakeholder intellectual property (IP) rights. This paper introduces EffABPMN2MV — a ten-layer collaborative design ecosystem operating within an immersive metaverse environment. The framework comprises three integrated components: (i) EffABPMN2MV-ML, a modeling language that maps metaverse UI interactions to BPMN 2.0 elements; (ii) EffABPMN2MV-Tools, a GPT-4-powered AI engine that automatically generates four standardized software deliverables; and (iii) EffABPMN2MV-SCB, a Hyperledger Fabric smart contract subsystem that immutably records stakeholder contributions and allocates LNT participation tokens. A controlled experiment with two parallel nine-member teams (Group A: EffABPMN2MV; Group B: Scrum) and an independent expert panel (n=15) was conducted using a banking loan application case study. EffABPMN2MV reduced documentation time by 58.3% (t=4.82, p&lt;.001, Cohen's d=2.28), improved document quality by 21.4% (d=1.65), enhanced stakeholder experience (d=2.27), and raised legal transparency from 2.58 to 4.61 out of 5.0 (d=3.47). All effects were statistically significant (p&lt;.001) with large effect sizes (d&gt;1.0). EffABPMN2MV represents a theoretically grounded and empirically validated contribution to BPM, collaborative software design, and blockchain-enabled information systems.</span></p> https://journalrmde.com/index.php/jrmde/article/download/391/362