skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


Title: Uncovering Economic Complicity: Explaining State-led Human Rights Abuses in the Corporate Context
Today’s scholarship and policymaking on business and human rights (BHR) urges businesses to better understand their human rights responsibilities and remedy them, when and if abuses do occur. Despite the public discourse about businesses and human rights, the state—as the main duty bearer in international human rights law—plays a fundamental role as the protector and enforcer of human rights obligations. This is a problem because the existing literature overlooks state involvement as perpetrators of abuse in the corporate context. We develop the term economic complicity to shed light on the state’s role in directly or indirectly abusing human rights within a corporation’s sphere of influence, such as police violence toward protests or granting environmental licenses without adhering to legally required community consultations. We ask: What contributes to the state’s engagement in economic complicity in corporate human rights abuses? We assess hypotheses emergent from the democratic change and development studies literatures with a unique database that includes economic complicity data from Latin America, the Corporations and Human Rights Database (CHRD). This research has important theoretical implications for the business ethics and BHR literatures, as understanding economic complicity highlights the need for businesses actors to avoid shirking their moral responsibilities to not only ‘do no harm’ but also to protect human rights when they are threatened by the state.  more » « less
Award ID(s):
1921229
PAR ID:
10382446
Author(s) / Creator(s):
Date Published:
Journal Name:
Journal of business ethics
ISSN:
1573-0697
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. ; ; ; (, Business & Society)
    null (Ed.)
    Multinational enterprises are aware of their responsibility to protect human rights now more than ever, but severe human rights violations, including physical integrity abuses (e.g., death, torture, disappearances), continue unabated. To explore this puzzle, we engage theoretically with the means-ends decoupling literature to examine if and when oil and gas firms’ policies and practices prevent severe human rights abuse. Using an original dataset, we identify two pathways to mitigate means-ends decoupling: (a) while human rights policies alone do not reduce human rights abuses, firms with a high-quality human rights policy over the long-term reduce severe human rights abuses; (b) firms that combine preparedness—which we define as a firm’s capabilities, practices, and engagement—with a long-term human rights policy also reduce the likelihood of human rights abuses. Preparedness, we argue, can lead to reinforcement dynamics between long-term policy efforts and additional capabilities that provide a more holistic understanding of firm behavior. 
    more » « less
  2. ; (, Social Psychological and Personality Science)
    Do employers have a responsibility to treat their workers equally or do employees have a right to be treated equally? In common discourse, rights and responsibilities are often used as substitutable framings for the same event, but they may differentially shape judgment. In this investigation, we develop an experimental manipulation of rights versus responsibilities and evaluate whether framing an arrangement between two parties in terms of rights, versus responsibilities, affects people’s judgment. We found that people judged unequal distributions between two parties as less fair when framed in terms of rights than in terms of responsibilities. Furthermore, people judged a rights framing as fairer for an unequal (vs. equal) contractual agreement. Thus, a subtle framing manipulation can increase or decrease people’s sensitivity to unequal distributions. We discuss potential mechanisms for this effect and implications for behavioral law as well as the potential to nudge people’s sensitivity to inequality. 
    more » « less
  3. ; ; (, EPJ Data Science)
    null (Ed.)
    Abstract In recent years, extreme shocks, such as natural disasters, are increasing in both frequency and intensity, causing significant economic loss to many cities around the world. Quantifying the economic cost of local businesses after extreme shocks is important for post-disaster assessment and pre-disaster planning. Conventionally, surveys have been the primary source of data used to quantify damages inflicted on businesses by disasters. However, surveys often suffer from high cost and long time for implementation, spatio-temporal sparsity in observations, and limitations in scalability. Recently, large scale human mobility data (e.g. mobile phone GPS) have been used to observe and analyze human mobility patterns in an unprecedented spatio-temporal granularity and scale. In this work, we use location data collected from mobile phones to estimate and analyze the causal impact of hurricanes on business performance. To quantify the causal impact of the disaster, we use a Bayesian structural time series model to predict the counterfactual performances of affected businesses ( what if the disaster did not occur? ), which may use performances of other businesses outside the disaster areas as covariates. The method is tested to quantify the resilience of 635 businesses across 9 categories in Puerto Rico after Hurricane Maria. Furthermore, hierarchical Bayesian models are used to reveal the effect of business characteristics such as location and category on the long-term resilience of businesses. The study presents a novel and more efficient method to quantify business resilience, which could assist policy makers in disaster preparation and relief processes. 
    more » « less
  4. ; (, Artificial Intelligence Review)
    Abstract Businesses are the driving force behind economic systems and are the lifeblood of the community. A business shares striking similarity to a living organism, including birth, infancy, rising, prosperity, and falling. The success of a business is not only important to the owners, but is also critical to the regional/domestic economic system, or even the global economy. Recent years have witnessed many new emerging businesses with tremendous success, such as Google, Apple, Facebook etc., yet millions of businesses also fail or fade out within a rather short period of time. Finding patterns/factors connected to the business rise and fall remains a long lasting question puzzling many economists, entrepreneurs, and government officials. Recent advancement in artificial intelligence, especially machine learning, has lend researchers powers to use data to model and predict business success. However, due to data driven nature of all machine learning methods, existing approaches are rather domain-driven and ad-hoc in their design and validations. In this paper, we propose a systematic review of modeling and prediction of business success. We first outline a triangle framework to showcase three parities connected to the business: Investment-Business-Market (IBM). After that, we align features into three main categories, each of which is focused on modeling a business from a particular perspective, such as sales, management, innovation etc., and further summarize different types of machine learning and deep learning methods for business modeling and prediction. The survey provides a comprehensive review of computational approaches for business performance modeling and prediction. 
    more » « less
  5. ; ; ; ; (, Nature Human Behaviour)
    Abstract Disruptions, such as closures of businesses during pandemics, not only affect businesses and amenities directly but also influence how people move, spreading the impact to other businesses and increasing the overall economic shock. However, it is unclear how much businesses depend on each other during disruptions. Leveraging human mobility data and same-day visits in five US cities, we quantify dependencies between points of interest encompassing businesses, stores and amenities. We find that dependency networks computed from human mobility exhibit significantly higher rates of long-distance connections and biases towards specific pairs of point-of-interest categories. We show that using behaviour-based dependency relationships improves the predictability of business resilience during shocks by around 40% compared with distance-based models, and that neglecting behaviour-based dependencies can lead to underestimation of the spatial cascades of disruptions. Our findings underscore the importance of measuring complex relationships in patterns of human mobility to foster urban economic resilience to shocks. 
    more » « less
  • Citation Formats
  • MLA
  • APA
  • Chicago
  • BibTeX
  • Save / Share this Record
  • Send to Email