🤖 AI Summary
This study addresses the mismatch between temporary inter-organizational talent supply and demand, along with associated legal, ethical, and data governance risks, by proposing a privacy-preserving cross-enterprise workforce leasing framework (BWLS). Grounded in governance-by-design principles, the framework employs locally deployed connectors and a lightweight central coordination layer to enable enterprises to anonymously publish and discover skills, negotiate tasks, and record agreements. It innovatively reconceptualizes the platform as a governance-oriented digital infrastructure that integrates consent mechanisms, auditability, role-based access control, data minimization, and institutional accountability. Drawing on socio-technical governance, enterprise architecture, and privacy-by-design principles, the work yields a structured governance framework and a set of design artifacts suitable for expert review, stakeholder deliberation, prototyping, and compliance analysis, though it has not yet been empirically deployed.
📝 Abstract
Workforce demand is uneven across organizations. Project-based companies may simultaneously face skill shortages in one unit while other firms hold underutilized employees with relevant expertise. Conventional hiring, contracting, and temporary agency models address parts of this problem, but they also create legal, ethical, organizational, and data-governance risks. This paper reframes a seminar project called Balanced Workforce into a governance-by-design framework for privacy-preserving inter-firm workforce leasing. The proposed Balanced Workforce Leasing Service (BWLS) enables companies to list temporary talent availability, discover anonymized skill profiles, negotiate assignments, and document agreements through locally deployed connectors and a minimal central coordination layer. The framework combines socio-technical governance, enterprise architecture, business model design, e3value-based value exchange modeling, and privacy-by-design principles. The paper presents the system concept, stakeholder model, process phases, architecture, business model, value network, and legal, ethical, and operational risk analysis. It argues that workforce leasing platforms should not be designed only as marketplaces. They require consent mechanisms, traceability, role-based access control, data minimization, contractual safeguards, dispute handling, and institutional accountability. The contribution is a structured framework and design artifact for future research on governed digital labor infrastructures. The paper does not claim deployment results or empirical validation; instead, it provides a design framework that can be evaluated through expert review, stakeholder workshops, prototype testing, and regulatory analysis.