Human Rights Violations in Global Value Chains: A Locally Grounded Governance Framework

Abstract Social governance models of global value chains (GVCs) are criticized as being dominated by advanced economy multinational corporations (MNCs) and primarily focusing on civil society organizations (CSOs) from developed countries, marginalizing the local agency, knowledge, and needs of rightsholders at the producing end of the GVC. These traditional governance frameworks often reinforce corporate power by framing compliance as a linear, top-down mandate. We address these shortcomings in the literature by proposing a locally grounded governance framework that accounts for vulnerable rightsholders who are often sidelined or underrepresented. The study is based on an inductive qualitative analysis of 54 interviews with CSOs operating in rightsholders’ home countries, MNCs’ home countries, and globally. Our study contributes in two major ways. First, we develop a theoretical model that conceptualizes a shift from a static, meeting-minimum-legal-standards, compliance-driven model to an adaptive, locally grounded GVC governance framework that is genuinely collaborative and can evolve with local insights. Second, we theorize a shift from a linear top-down framework that reinforces corporate power to an iterative process in which the dynamics of conflict and collaboration interact and shape the outcomes of the governance model.

Authors

Institutions

Publication Details

Journal
Journal of Business Ethics
Published
2025-05-24
DOI
https://doi.org/10.1007/s10551-025-06025-6
Primary Topic
Global trade, sustainability, and social impact
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Human Rights Violations in Global Value Chains: A Locally Grounded Governance Framework

Marc Oberhauser, Myriam Celine Rapior
Journal of Business Ethics
Global trade, sustainability, and social impact
article

Human Rights Violations in Global Value Chains: A Locally Grounded Governance Framework

Marc Oberhauser, Myriam Celine Rapior
article en

Abstract

Abstract Social governance models of global value chains (GVCs) are criticized as being dominated by advanced economy multinational corporations (MNCs) and primarily focusing on civil society organizations (CSOs) from developed countries, marginalizing the local agency, knowledge, and needs of rightsholders at the producing end of the GVC. These traditional governance frameworks often reinforce corporate power by framing compliance as a linear, top-down mandate. We address these shortcomings in the literature by proposing a locally grounded governance framework that accounts for vulnerable rightsholders who are often sidelined or underrepresented. The study is based on an inductive qualitative analysis of 54 interviews with CSOs operating in rightsholders’ home countries, MNCs’ home countries, and globally. Our study contributes in two major ways. First, we develop a theoretical model that conceptualizes a shift from a static, meeting-minimum-legal-standards, compliance-driven model to an adaptive, locally grounded GVC governance framework that is genuinely collaborative and can evolve with local insights. Second, we theorize a shift from a linear top-down framework that reinforces corporate power to an iterative process in which the dynamics of conflict and collaboration interact and shape the outcomes of the governance model.

Journal of Business EthicsVol. 203(1)
Universität Hamburg (DE), ESCP Business School (FR)
Universität Hamburg
Openalex Percentile: Top 83%
Global trade, sustainability, and social impact
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.