Resource Library
APQC’s Resource Library is your source for timely and topical information to help you meet your most complex business process and knowledge management challenges. Explore our ever-growing collection of more than 8,600 research-based best practices, benchmarks and metrics, case studies, and other valuable APQC content.
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Data and Measures|
Summary of Open Standards Benchmarking Measures: Logistics and Warehousing
The APQC Open Standards Benchmarking® measure list concisely displays all of the measures currently available for a specific survey. These measures are organized by research…
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Data and Measures|
Summary of Open Standards Benchmarking Measures: Procurement
The APQC Open Standards Benchmarking® measure list concisely displays all of the measures currently available for a specific survey. These measures are organized by research…
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Data and Measures|
Summary of Open Standards Benchmarking Measures: Manufacturing
The APQC Open Standards Benchmarking® measure list concisely displays all of the measures currently available for a specific survey. These measures are organized by research…
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Data and Measures|
Summary of Open Standards Benchmarking Measures: Supply Chain Planning
The APQC Open Standards Benchmarking® measure list concisely displays all of the measures currently available for a specific survey. These measures are organized by research…
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Tools & Templates|
Now in the Resource Library: Knowledge Management
APQC's bi-annual "Now in the Resource Library" report (NITRL) provides a comprehensive guide to recently released Knowledge Management (KM) research and content in the…
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Data and Measures|
Emerging Technologies for KM: Artificial Intelligence: Automotive Industry
In February 2024, APQC conducted a survey to understand the impact of current and emerging technologies on KM teams, programs, and capabilities.This report examines the…
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Data and Measures|
Emerging Technologies for KM: Artificial Intelligence: Consumer Products/Packaged Goods/Food & Beverage Industry
In February 2024, APQC conducted a survey to understand the impact of current and emerging technologies on KM teams, programs, and capabilities.This report examines the…
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Data and Measures|
Emerging Technologies for KM: Artificial Intelligence: Financial Services/Banking Industry
In February 2024, APQC conducted a survey to understand the impact of current and emerging technologies on KM teams, programs, and capabilities.This report examines the…
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Data and Measures|
Emerging Technologies for KM: Artificial Intelligence: Government/Military Industry
In February 2024, APQC conducted a survey to understand the impact of current and emerging technologies on KM teams, programs, and capabilities.This report examines the…
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Data and Measures|
Emerging Technologies for KM: Artificial Intelligence: KM Program Model Comparison
In February 2024, APQC conducted a survey to understand the impact of current and emerging technologies on KM teams, programs, and capabilities.This report provides a…
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Data and Measures|
Emerging Technologies for KM: Automotive Industry
In February 2024, APQC conducted a survey to understand the impact of current and emerging technologies on KM teams, programs, and capabilities.This report summarizes the…
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Data and Measures|
Emerging Technologies for KM: Consumer Products/Packaged Goods/Food & Beverage Industry
In February 2024, APQC conducted a survey to understand the impact of current and emerging technologies on KM teams, programs, and capabilities.This report summarizes the…
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Data and Measures|
Emerging Technologies for KM: Financial Services/Banking Industry
In February 2024, APQC conducted a survey to understand the impact of current and emerging technologies on KM teams, programs, and capabilities.This report summarizes the…
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Data and Measures|
Emerging Technologies for KM: Government/Military Industry
In February 2024, APQC conducted a survey to understand the impact of current and emerging technologies on KM teams, programs, and capabilities.This report summarizes the…
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Articles|
When and How to Reskill for New Technology
Reskilling is a talent management approach that involves identifying employees working in jobs for which the organization has declining demand and training them to take on…