Accreditation of private schemes: differentiator and source of credibility in various markets

In recent years, accreditation has grown, particularly for privately owned standards schemes.

The German company FoodPLUS GmbH pioneered a group of European retailers responding to various food industry scandals in the 1990s. In 1997, the newly founded Euro-Retailer Produce Work Group Good Agricultural Practice (EurepGAP) commissioned experts to develop new standards for good agriculture practices. This gave rise to the certification system known today as GLOBALG.A.P.(1)

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Global dialogue and benchmarking of quality infrastructure systems

Quality infrastructure (QI) systems differ between countries.

Germany can look back on a particularly long history of QI development. The predecessor of the PTB was the first National Metrology Institute (NMI) globally, and the German DIN is one of the pioneering National Standards Bodies (NSB). Accreditation was later introduced and, during European integration, merged into one National Accreditation Body (NAB) carrying the acronym DAkkS in Germany. However, the term “quality infrastructure” is a relatively new terminology in Germany.

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Dematerialisation of accreditation data

Digitalisation of accreditation services

Since 2020, accreditation bodies worldwide have increasingly digitalised their services. Accreditation has followed a universal quest for leaner and more efficient business processes, higher productivity, and lower costs. At the same time, digitalisation aims to improve the customer experience and communication as well as the transparency of the accreditation system.

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Macroeconomic benefits of quality infrastructure

One reason for investing in Quality Infrastructure (QI) is its contribution to a country’s economic growth. QI enhances economic performance through several avenues, including opening markets, reducing entry barriers, promoting knowledge transfer and better management procedures, facilitating production along value chains, enabling economies of scale, and reducing adverse selection and asymmetric information (Gonçalves and Peuckert, 2011). While interest in QI has been increasing over the years, QI experts, researchers and practitioners are challenged with quantifying the economic benefits of QI to highlight its importance and justify the need for investment and further development. So far, there have been various studies on the macroeconomic impact of individual QI components, such as standards, metrology and conformity assessment. However, an impact analysis for the entire system is still pending. This blog explores the methodologies used for the macroeconomic impact assessments of the different QI components and the possibility of conducting an assessment of the overall QI system.

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The Implications of Artificial Intelligence for the Quality Infrastructure

Artificial intelligence (AI) is on everyone’s lips. A significant stimulus was when the US company OpenAI published the ChatGPT in November 2022.[1] GPT stands for Generative Pre-trained Transformer and is a text-based dialogue system as a user interface based on machine learning. Millions of internet users registered to gain access to this new oracle in just a few days.

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