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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Digital technology adoption for modern slavery risk mitigation in supply chains
T2 - An institutional perspective
AU - Jiang, Mengqi
AU - Chen, Lujie
AU - Blome, Constantin
AU - Jia, Fu
PY - 2023/7/31
Y1 - 2023/7/31
N2 - Tens of millions of people worldwide – at a minimum – are victims of modern slavery (MS), including various forms of human trafficking, forced labor, and child labor. In the current digitization era, digital technology may be used to recruit or control MS victims, but it also has the potential to mitigate MS risks in supply chains. However, although scholars have increasingly focused on this social issue, the critical role of digital technology in MS risk mitigation remains unclear. This research aims to identify which digital technologies are adopted by focal firms to mitigate MS risks and explore how institutional changes affect technology adoption. We conducted a qualitative secondary data analysis by performing content analysis on MS statements for financial years from 2017 to 2021 issued by the top 50 firms selected from the Fortune Global 500 list. According to our coding results, we identified seven types of digital technology adopted by focal firms and key actors involved in digital technology adoption in the MS context to form an MS risk mitigation ecosystem. Based on the socio-technical perspective and institutional theory, we further proposed a conceptual framework to link the institutional pressures to digital technology adoption. We found that normative pressures from NGOs tend to promote high-complexity technology, whereas coercive pressures from governments tend to tolerate low-complexity technology. Mimetic pressures from competitors tend to promote low-complexity technology adoption. In this context, firms respond to government regulations more positively than to NGO initiatives. This paper is the first to explore digital technology adoption as a way of mitigating MS risks and to propose a conceptual framework to inspire managers, policy makers and other stakeholders.
AB - Tens of millions of people worldwide – at a minimum – are victims of modern slavery (MS), including various forms of human trafficking, forced labor, and child labor. In the current digitization era, digital technology may be used to recruit or control MS victims, but it also has the potential to mitigate MS risks in supply chains. However, although scholars have increasingly focused on this social issue, the critical role of digital technology in MS risk mitigation remains unclear. This research aims to identify which digital technologies are adopted by focal firms to mitigate MS risks and explore how institutional changes affect technology adoption. We conducted a qualitative secondary data analysis by performing content analysis on MS statements for financial years from 2017 to 2021 issued by the top 50 firms selected from the Fortune Global 500 list. According to our coding results, we identified seven types of digital technology adopted by focal firms and key actors involved in digital technology adoption in the MS context to form an MS risk mitigation ecosystem. Based on the socio-technical perspective and institutional theory, we further proposed a conceptual framework to link the institutional pressures to digital technology adoption. We found that normative pressures from NGOs tend to promote high-complexity technology, whereas coercive pressures from governments tend to tolerate low-complexity technology. Mimetic pressures from competitors tend to promote low-complexity technology adoption. In this context, firms respond to government regulations more positively than to NGO initiatives. This paper is the first to explore digital technology adoption as a way of mitigating MS risks and to propose a conceptual framework to inspire managers, policy makers and other stakeholders.
KW - Digital technology
KW - Modern slavery
KW - Risk detection
KW - Risk prevention
KW - Supply chain risk management
U2 - 10.1016/j.techfore.2023.122595
DO - 10.1016/j.techfore.2023.122595
M3 - Journal article
AN - SCOPUS:85153574682
VL - 192
JO - Technological Forecasting and Social Change
JF - Technological Forecasting and Social Change
SN - 0040-1625
M1 - 122595
ER -