diginexAPPRISE

500+
Downloads
Content rating
Everyone
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About this app

diginexAPPRISE is a multilingual application that collects standardised, actionable data related to working conditions directly from workers in global supply chains. Through tailored question sets, companies can deploy surveys directly to workers in their supply chain on a variety of topics such as responsible recruitment, gender equality and to pulse check living and working conditions.

diginexAPPRISE was developed in response to significant challenges faced during social audits, such as language barriers, a lack of privacy, and a lack of coverage of key social indicators - particularly to identify forced labour. diginexAPPRISE allows companies and frontline responders to interview workers anonymously and remotely through technology in their native language to ensure that organisations are treating people fairly and with respect.

The data collected increases transparency in organisations and protects workers raising concerns from being identified, minimizing the risk of retaliation. As of 2022, the application – which is integrated into diginex’s due diligence platform, diginexLUMEN – has already scaled to more than 50,000 workers across 15 countries.

diginexAPPRISE was developed in partnership with United Nations University and The Mekong Club – an organisation working with the private sector to bring about sustainable practices against modern slavery. If your organisation is interested to use diginexAPPRISE, contact support.sc@diginex.com or visit our website at www.diginex.com.
Updated on
Apr 16, 2024

Data safety

Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time.
No data shared with third parties
Learn more about how developers declare sharing
This app may collect these data types
App activity
Data is encrypted in transit
You can request that data be deleted

What's new

* Fixed: detect gender based on question content and answer