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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For any organization, launching a knowledge management (KM) or process program is a big endeavor with lots of tough decisions to make. Fortunately, organizations don’t need…
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Enterprise Content and Collaboration in the Cloud
Cloud computing is one of the most pervasive trends in enterprise IT. In 2019, APQC surveyed more than 300 organizations to understand their use of cloud platforms to support…
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Knowledge management (KM) has a natural affinity with science, technology, engineering, and math (STEM) disciplines. However, STEM workers themselves may not know what KM is,…
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Applying Agile in Knowledge Management
Agile—a project management paradigm that stresses iteration, collaboration, self-organization, and customer-centricity—is taking the business world by storm. In this article,…
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TechnipFMC’s Recipe for KM Reinvention
Even when everything is going well and you're at the top of your KM game, you can be sure tomorrow will not look like today. Whether driven by a merger, a changing industry,…
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At APQC’s 2019 KM Conference, John Boden, vice president of information and member services for the Society for Petroleum Engineers (SPE), and Reid Smith, co-founder and CEO…
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For two decades, Schlumberger used custom-built software to support its world-leading communities of practice. But it recently shifted its community discussion forums (known…
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Guatemala-based Corporación Multi Inversiones (CMI) is an agro-industrial corporation with two broad business areas: foods and capital. At APQC’s 2019 KM Conference, CMI…
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At APQC’s 2019 KM Conference, Hanan Al Mheiri, assistant manager of KM at Dubai Electricity and Water Authority (DEWA), shared insights and lessons learned from her…
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Smart recommendation systems integrate information about users and their past behavior to filter items and predict which will be most relevant or appealing to a particular…