Stephen Bounds — Sun, 07/09/2014 - 08:15
Sometimes, I think that people over-complicate the reasons why social media works. It's not some magical parallel universe!
However, the greater power of customers to communicate with other customers at great speed and low cost does now mean that false, inconsistent, or inflated claims by organisations rapidly get discovered. And similarly, positive experiences by customers of your services can and will be rapidly shared with their peers.
Stephen Bounds — Fri, 22/08/2014 - 08:34
If you haven't run across Activity-Based Work (or ABW) yet, in all probability you will soon.
This Jones Lang LaSalle report from 2012 provides a typical pro-ABW assessment. The report defines ABW this way:
ABW is a workplace strategy that provides people with a choice of settings for a variety of workplace activities. Rather than forcing individuals to undertake all their work at one
Stephen Bounds — Wed, 23/07/2014 - 10:28
Dave Griffiths wrote an article recently about his experience in attempting to provide feedback on a succession planning process, titled "When knowledge transfer plans go wrong". David wrote:
Stephen Bounds — Fri, 11/07/2014 - 10:01
Peter Anthony-Glick has written a thoughtful post and blog wondering why KM staff sometimes actively resist the use of internal social collaboration tools.
My view is that the key capability KM generally lacks is a robust framework for evaluating proposed changes to organisational capabilities (whether that be a technology, process, or management change) and being able to usefully discuss what it is likely to achieve.
Stephen Bounds — Fri, 04/07/2014 - 12:10
I have always been suspicious of altruism. Humans are capable of wonderful and unselfish acts, but when trying to determine the behaviour of an overall system, I think it's far more reasonable to expect that people will act to benefit their own interests.
Why? Three basic reasons:
- Local judgement. People understand and focus on their local situation better and in more detail than a more distant consideration.
Stephen Bounds — Thu, 01/05/2014 - 22:39
One of my constant bugbears in KM theory is the use of DIKW, or the pyramid of data, information, knowledge, and wisdom.
The idea is that a "refining" process takes place at each layer of the hierarchy. So: refined data becomes information, refined information becomes knowledge; and refined knowledge becomes wisdom. I personally feel the model is, at best, only really applicable in a few limited domains and even then it is problematic.
I have two main two objections to the theory:
Stephen Bounds — Sat, 22/02/2014 - 23:25
While reflecting on the exciting and invigorating experience of presenting a recordkeeping masterclass last Friday, an epiphany occurred. You can make a good case that the current records authority process for classifying and disposing of records is highly problematic because it mashes up to six different needs for recordkeeping into a single unholy mess:
- to meet legal or regulatory requirements (eg retention of financial records)
Stephen Bounds — Fri, 31/01/2014 - 07:19
Timothy Vines recently led a research effort to try and determine how quickly the source data (and thus justification) for scientific research becomes inaccessible. The answer: it proved impossible to source the data for 77 per cent of the 516 studies investigated, which were published between 1991 and 2011. The major reasons:
Stephen Bounds — Tue, 14/01/2014 - 05:54
The purpose of business is to create and keep a customer.
-- Peter Drucker
Fair warning: This is a post about semantics. For those who feel that the words we choose to describe something are less important than the concepts they represent and the actions they entail, this is probably not a post for you.
Stephen Bounds — Wed, 08/01/2014 - 09:12
As a generalisation, computer applications involving user interaction are either intended to augment human intelligence and activity, or to be a service that delivers a pre-determined capability for people. By analogy, it's the difference between an exoskeleton and a car.