Recent Notable Works – summer/fall 2016

Knowledge and Content Management is a critical area for businesses to address.

These areas are where the meaning of a business idea must be successfully communicated before it’s importance can be appreciated by sponsors, partners, employees, customers, or other target stakeholders. The combination of meaning and importance is what creates intellectual capital from the exchange of information, learning, and communications.

In 2016, we worked as a content contributor, editor, and/or subject matter expert in crafting several important new publications and communications portfolios.

These include commercially available work:

  • the #1 new release in New Business Enterprises on Amazon.comThe Purpose is Profit: the Truth About Starting and Building Your Own Business, by Ed McLaughlin and Wyn Lydecker
  • the ground-breaking new Innovation Strategy Development release on Amazon.comFuture Value Generation: Do You Need to Create New Business Logics?, by Daniel Egger

as well as corporate operational work both external-facing and internal-facing:

  • strategic marketing collateral and positioning briefsInsights Without Borders, LLC  (
  • Business & Technology strategic requirements alignmentTechSoup Global (

How Learning Happens

Anyone looking for knowledge now likely views the web as an indispensable source, even given the challenges of navigating its endless variety and volume. This places the highest possible priority on how we decide to accept what we find: its authenticity, credibility, and utility.

Some of the acceptance must be based on proof-by-experience, from the results of applying what we believe is knowledge. Meanwhile we have completely unprecedented exposure to information that is presented to us as transferable knowledge, which makes us reliant on the criteria we use to select the presenters. Additionally, we choose from various processes that intend to convert ideas into new knowledge, or derive new ideas from existing knowledge.

Giving and receiving knowledge is now a more openly diverse set of efforts and options than ever before, yet the basic underlying mechanism of going from not knowing to knowing has not changed. in the Archestra notebook Big Learning, we have done a sweeping survey of what goes into the before-and-after changes. why it does, and how the teaching-learning relationship is now structured.

Click here to go to the Slideshare posting of Big Learning.