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18 December 2006

I am Time Magazine's “Person of the Year” (*) !

(*) As millions of other web 2.0 enthusiasts. Yes, Time Magazine chose all the bloggers, the wikis’users, the online Forum members and other Web-based collaborators as their Person of the Year 2006 (http://www.time.com/time/magazine/article/ 0,9171,1569514,00.html?aid=434&from=o&to=http%3A//www.time.com/time/magazine/article/ 0%2C9171%2C1569514%2C00.html ). This is a fantastic recognition of this exponentially growing movement unleashing a power for the individual equalling that of political leaders! This power relies on a core principle: a Worldwide reach. I particularly love the conclusion of the article: “Web 2.0 is a massive social experiment, and like any experiment worth trying, it could fail. There's no road map for how an organism that's not a bacterium lives and works together on this planet in numbers in excess of 6 billion. But 2006 gave us some ideas. This is an opportunity to build a new kind of international understanding, not politician to politician, great man to great man, but citizen to citizen, person to person. It's a chance for people to look at a computer screen and really, genuinely wonder who's out there looking back at them. Go on. Tell us you're not just a little bit curious.” My question now is what should this mean for Organizations? The answer must depend on what aspect of the Organization we are considering: internal or external. Externally, this “new kind of international understanding” will mean new ways for Organizations to reach their customers. However, not simply to communicate but to collaborate with them. Customers will increasingly expect and value being involved throughout the product life cycle, from the idea generation to the after-sales services. Internally, Organizations will need to quickly realise that many of their collaborators are also “Person of the Year”. They will expect similar collaborative facilities within the Organization to the ones they use at home. Of course, internally you need a higher degree of control than on the Web for security and confidentiality, with user access rights to sensitive information. However, it is also clear that efficiently and effectively connecting all the brains working in an Organization can generate value. How many of us have experienced the annoying realization that a collaborator had the answer to a problem that at the time required external help, simply because you had no easy way of finding the answer internally (in other words, reinventing the wheel). Peter-Anthony Glick http://leveragingknowledge.blogspot.com

08 December 2006

The virtuous cycle of the Gift Economy

«Everyone thinks of changing the world, but no one thinks of changing himself
Leo Tolstoy (1828 - 1910)
You all must read Dave Pollard’s latest post “The virtuous cycle of the Gift Economy” (http://blogs.salon.com/0002007/2006/12/06.html#a1718 ). It did make me realise that I already intuitively knew this but it just needed to rise from my sub-conscience. It did! This virtuous cycle looks great but I believe that a more realistic state would be somewhere in between the Capitalist and the Gift Economies. These two as defined in Dave’s diagram are extremes and as such should be avoided. Our current world tends to gravitate closer to the capitalist end of the spectrum so we need to collectively push in the other direction. However, I don’t see the World moving all the way to a “complete” Gift Economy. I am not sure that it would be such a great World to leave in anyway. If all hierarchies were to disappear and everyone would share most of what they need/want and purchase only what they need and cannot obtain in any other way, some would quickly seize opportunities for taking advantages and build monopolies by controlling the production of what must be purchased. Another potential flaw of the extreme Gift Economy model is the relative loose definition of an individual’s “needs”. What is seen as non-essential for some will be seen as essential for others. This is already the case in our mostly capitalist economy of course, but it is regulated by each individual’s purchasing power. I cannot afford a large home with a swimming pool therefore it wont even appear in my list of short-term needs, but I can still work towards it because I would love to swim every morning. In a Gift Economy, you could ideally imagine that I would team up with 10 neighbours and finance our shared swimming pool (or better build it ourselves!). Two problems: 1) not exactly the same level of privacy and convenience; and 2) I might struggle to find the necessary number of neighbours with the same “need”. Therefore, I might find myself force to still work enough to be able to afford my pool. Now, if you assume that most people will face a similar issue for a specific need within the communities (virtual or not) they are part of, wouldn’t we end up with a capitalist-like spiral again? Having said that, we should still steer the Economy away from the all-encompassing Capitalism. How can each one of us contribute to this effort? By “simply” doing more things ourselves (I will start by sorting out this annoying faulty living-room light switch myself). It also means engaging in more value-adding social networks. Two other recent blogs from Dave illustrates what this mean. First, a social network diagram: http://blogs.salon.com/0002007/2006/12/01.html Then a list of examples of SNAs (social networking applications) sorted by function: http://blogs.salon.com/0002007/2006/12/05.html I will use more of these tools myself and will promote their use around me and see what happens. Peter-Anthony Glick

30 November 2006

Personal Knowledge Management

Yesterday, I attended a Knowledge Café in London arranged by David Gurteen (http://www.gurteen.com/gurteen/gurteen.nsf/id/kcafe-pollard ). The guest key-note speaker was Dave Pollard (http://blogs.salon.com/0002007/2006/09/27.html#a1657 ) and the topic: Personal Knowledge Management (PKM). Very simply put, PKM differentiates itself from “classic” KM as follows: KM => PKM Collection => Connection Content => Context PKM states that we should instigate better knowledge sharing with a bottom-up approach rather than the more classic KM top-down implementations. The basic idea is to send Information Professionals (IP) on “the field” to help/teach individuals with one-on-one sessions to be more knowledge efficient and effective. The IP would also in the process gather a lot of useful information about what technology employees really need to do their job better and to add more value. Of course, one-on-one sessions with everyone in an organization can be prohibitively expensive and time-consuming. Dave Pollard says that there can be ways to do this “economically” but the key is to convince top-executives that the increased efficiency and effectiveness more than cover for the costs. I believe this is indeed the main challenge of PKM. In fact, for a KM Professional, PKM does not resolve the key problem: getting board-level support to invest in knowledge leveraging initiatives. It might even make matters worse by not relying on an idealistic target state. It is harder to justify a multitude of “fuzzier” individualized initiatives (bottom-up) rather than a few collective ones with clear objectives (top-down). I do see a lot of benefits with PKM but I would intuitively believe that in many organizations, a more appropriate approach would be a mixture of “classic” KM and PKM. The latter implemented to support and sustain the initiatives of the former. I really do not see PKM succeeding on its own in an organization where knowledge-sharing is not part of the culture. I don’t see it as the magic bullet in such a context. One issue we chose to address at my table during this event was the fear that top-management usually has with wide-spread relatively uncontrolled knowledge sharing: the risk of some very valuable information falling into the wrong hands. A very pertinent approach was suggested to me: we first need to define exactly what type of knowledge is critically valuable to the organization, what makes it really competitively different. It is then this knowledge that would be kept secure. The rest can be left to be shared to add value and foster creativity and innovation. I am not saying this would be easy but it does make a lot of sense. Peter-Anthony Glick http://leveragingknowledge.blogspot.com

27 October 2006

ROI or no ROI for KM?

I recently submitted a question to a KM mailing group about ROI. I basically wanted to obtain practical examples of KM initiatives (preferably company-wide) that have shown clear ROI in money terms. The discussion rapidly evolved into argumentations between the ones convinced that using the old-fashioned ROI method for justifying initiatives in the world of intangibles is complete non-sense and potentially counter-productive; and the ones that believe that ROI still has an important role to play, if not for anything else, for obtaining the support of “old-fashioned” top-management. At the time I asked my question, I was of course targeting the second group. The most virulent supporter of the “ROI is useless” view went to claim that network analysis and in particular Value Networks was the only way to go, citing Verna Allee as a leading thinker in the field. I then thought I should in fact ask her directly and via email, here is Verna’s response: "Any major corporate investment should be able to demonstrate some kind of positive impact in either financial or non-financial terms or you need to rethink what you are doing. However, for many knowledge focused initiatives the really big story is in building strategic capability for the future - which is all about intangibles- and is not about classic ROI. Of course ROI can include non-financial returns and impacts but people do not have that understanding so I generallly avoid using the term. People need to know how to tell both kinds of stories and know when to tell them. KM practitioners have completely dropped the ball in learning the language of intangible value then they wonder why they have so much trouble getting support for their efforts. Of course a lot of managers don't think this way but if the KM people just feed into their old way of thinking they are doomed for frustration. Step up to the plate and learn to the story of value in intangible terms. If you aren't educating your leaders to this way of thinking - who will?" Verna Allee. My reply to Verna was: Yes Verna, that is exactly the problem for most KM practitioners (at least it is for me): we know that we should do away with old methods but we don't believe our leaders can understand our new language without some transition using their language in a new context. Probably we underestimate them and should be more courageous. I recommend Kaye Vivian's blog entry on this topic: http://dove-lane.com/index.php/2006/10/17/km-and-myth-of-roi/ Peter-Anthony Glick http://leveragingknowledge.blogspot.com

29 August 2006

What if we tried to foresee what will follow the currently unfolding Knowledge Economy?

What if we tried to foresee what will follow the currently unfolding Knowledge Economy? What will be the new buzz word for corporate leaders in 2050?I will not attempt here to answer these questions directly but will use scientific predictions as metaphors to give us a hint. While reading recently the very interesting scientific book “The Next Fifty Years – Science in The First Half of the Twenty-First Century”, a collection of 25 new essays by leading scientists edited by J. Brockman (A Vintage Original, New-York, 2002) I found three passages from three different authors that are relevant to my two questions above. First, here is how Alison Gopnik (professor of psychology at the University of California at Berkeley) ends her essay “What Children Will Teach Scientists”: “[…] At the end of the last century, knowledge began to become the most valuable currency, like land in a feudal economy or capital in an industrial economy. The new science of learning should tell us that knowledge is not just a prize to be won in some desperate test-taking struggle for places in the contemporary mandarinate. Instead it is, literally and not just rhetorically, our universal human birthright.” The way I read this (based also on the reading of Alison’s whole essay about the science to understand learning) is that our societies will progressively realise that knowledge is what makes us, humans, so special. The value of knowledge would then take the forefront in all aspects of our everyday life. We would continuously seek better ways to acquire it, to retain it, to share it, to nurture it. Of course, this should have a profound impact on management and organizational cultures. By 2050, the fact that knowledge is a vital asset will be a given fact and competitive advantage will be won by those who will leverage it faster and more effectively. This should mean that organizations of this future will have as a constant priority to make all their collaborators as creative and innovative as possible. Everyone in an organization will be empowered and encouraged to create/innovate making some mistakes along the way but learning a great deal more. This seems to be compatible with the next extract below. Mihaly Csikszentmihalyi - a Hungarian-born polymath, formerly chairman of the Psychology Department at the University of Chicago and currently Davidson Professor of Management at the Claremont Graduate University in Claremont, California – writes in his essay “The Future of Happiness”: “[…] Among the things we learned is that people who are engaged in challenging activities with clear goals tend to be happiest than those who lead relaxing, pleasurable lives. The less one works just for oneself, the larger the scope of one’s relationships and commitments, the happier a person is likely to be. […]” Mihaly sees that by 2050, societies at large but employers in particular will have understood that people are more productive when they are happier, and that people are happier if they have challenging objectives and if these objectives are clearly contributing to the corporate goals. This seem to suppose that individuals will be valued for their specific knowledge and competencies to go beyond what is initially expected of them, in order to create value for the organization. This nicely leads us to the third extract of this book I believe relevant to the leveraging of Knowledge. I found it at the end of Brian Goodwin’s essay titled “In The Shadow of Culture” where he attempts to explain why he believes a “science of qualities” is developing, where feelings and qualities have at least as much importance as proofs and quantities. Brian (a professor of biology at Schumacher College, Darlington, UK - where he coordinates a master’s program in holistic science- and a member of the Santa Fe Institute) writes: “[…] In the shadow of current science it is possible to see the components of a science of qualities which would restore qualitative evaluation to the place it occupies in our everyday lives, where judgments depend on quality as well as quantity. This restoration, together with the recognition that feelings belong not only to us but also to the rest of nature, in whatever form, presents us with a dramatically transformed set of possibilities for scientific knowledge, technology, and corporate and political action. A shift in scientific perspective of this magnitude is not going to happen overnight, if it happens at all. It requires new forms of education at a basic level, in which the sciences and the arts are united to keep people whole and in which scientific and technological decision-making require participation by all members of civil society, with knowledge joined again to responsible action.” This extract is heavy in meanings and could open up many philosophical debates. I will only say this: if science does indeed go through such a drastic shift towards valuing qualitative judgment, it will have an even bigger impact on other parts of society such as the business world. Accounting would no longer rely on quantitative analysis and the value of a company would give at least as much importance to qualitative aspects such as its intellectual property, including the specific knowledge of all its collaborators. Peter-Anthony Glick http://leveragingknowledge.blogspot.com

22 June 2006

Traditional strategies to improve efficiency are failing in the Knowledge Economy.

It is really amazing and sad (and frustrating for some of us who can see the light) how much Company Boards concerned with cutting costs while sustaining growth can repetitively miss the most effective way to do this in the Knowledge Economy we leave in: leveraging the organizational Knowledge through the development of a knowledge-sharing culture to foster creativity and innovation. Traditional means of cost cutting are increasingly reaching their limits and sometimes even become counter-productive. For instance, the still somewhat popular engineering tools designed to map, understand and control organizational processes – to eventually simplify/standardise them to cut costs and improve efficiency - are all failing to meet their objectives. They at best provide a partial understanding of what is really going on, and at worse end up being themselves more complex and costly to manage than what they are supposed to represent. The key problem of these tools is that they miss a vital part of organizational processes: the human aspects (social, political, hierarchical, geographical, knowledge, skills, competences, etc…). Another example of a management tool usually not adapted to the Knowledge Economy is MBO or Management By Objectives. When managers’ performance is evaluated solely on annual objectives, they will naturally tend to focus their attention and efforts on these objectives and not be concerned with anyone else’s. In other words, MBO can have adverse effects on collaboration. Of course, there are ways to alleviate this problem such as including a knowledge-related objective for each manager. Assuming it is measurable, this objective would however probably drive the only knowledge-related activity a manager will carry out effectively, so not vey productive from a KM point of view. Cost-cutting is still too often synonymous of redundancies, recruitment freeze, modest salary increase, low (or no) bonuses, etc… Of course, who is making the most sacrifices and suffers the most: the workforce (the human capital). The problem with this is that it affects negatively what is increasingly the most important asset to an organization: its people knowledge and experience. Instead of sending the message that their very existence is a reason for lower margins, they should be asked and given the suitable environment to actively and creatively work out ways to cut costs and/or increase efficiency/effectiveness with same resources. A suitable environment means enabling a knowledge sharing culture. Peter-Anthony Glick http://leveragingknowledge.blogspot.com

02 June 2006

Business Intelligence for simulating the future

Chris Caren (Microsoft’s general manager of Office business applications) had recently this to say about Business Intelligence: The latest three trends are: 1. BI products are usually considered as too hard for everyone to use and too expensive to roll out to as many people as one would want to. 2. Standardising onto one or two BI product lines that can serve all the needs of different types of user. 3. A change in the way people are thinking about BI: from a report-centric, historical view of the business, to a metrics-centric view – involving dash-boards and scorecards – of where the company is heading. I believe these three points are all valid and important but the last one is the key to success. The first two are more about technology, the last one is first about a change of approach and a change of objectives. It implies the realization that successful organizations will be the ones that focus on simulating the possible future rather than analysing the past. Peter-Anthony Glick http://leveragingknowledge.blogspot.com

18 May 2006

Seven lessons learned with Knowledge Management initiatives

If a shared information repository contains mostly information that people are used to find elsewhere, you’re wasting your time, it won’t be used. “[...] make sure the system is easy and comfortable to use – in fact, easier and more comfortable than ignoring the system.” R. Buckman For an individual (or a group) to contribute information, he/she must expect and obtain at least as much in return. A deep cultural change in the organization can only succeed with a top-down approach. Start small with “quick wins” and build on their growing reputation. Pilot each new solution with welcoming teams and individuals. Keep the most resistant groups for last, they’ll follow when every one else is on board. The “correct” level of information categorization depends on the tool, on the purpose and on the intended user community: Too much categorization adds unnecessary complexity and stifles creativity; too little leads to unproductive chaos. Peter-Anthony Glick http://leveragingknowledge.blogspot.com

03 April 2006

Systems thinking for Knowledge Management

Consider the above “Strategic Capability” diagram (L. Baird and J. Henderson, The Knowledge Engine, Berrett-Koehler Publishers, 2001, first edition page 14). 

  Business Intelligence (BI) needs to provide the right Knowledge to drive the strategy and use the strategy to direct Knowledge Management (KM) initiatives
The Focus stage above. 
The BI Reflect stage must rely heavily on Knowledge generated at the operational level (this same Knowledge is considered as “only” Information at the Strategic Level). Reflecting is about aggregating and simplifying this “operational Knowledge”, making sense of it strategically to produce “strategic Knowledge”. “Making sense of Information” means here to be able to use it in various pre-defined contexts and run simulations. These simulations are to assist the strategic decision-makers in assessing which strategies have the most suitable potential-to-risk ratio. 

How should the operational Knowledge be structured to enable these strategic simulations? 
I have been recently introduced by Dennis Sherwood (author of “Seeing the Forest for the Trees – A Manager’s Guide to Systems Thinking”, Nicholas Brealy Publishing, 2002) to Systems Thinking in the organizational context. I strongly recommend Dennis’ book but in a few words, “the essence Systems Thinking is that the complexity of the real world can best be tamed by seeing things in the round, as a whole. […] Taking a broad view, however, is not at the expense of missing the detail […]. Nor is it a question of broad brush versus detail; rather, it is one of taking a broad view in the context of the right detail, of truly […] seeing the forest for the trees.” The idea here is then to illustrate operational Knowledge in a systemic form (a causal loop more precisely) where all stakeholders are linked up through a network of inputs and outputs. These ins and outs are to represent the influences these stakeholders have on each other. Influences are either positive or negative (never neutral). These systems include levers and outcomes. The levers are the variables for defining an initial context for the simulation. The outcomes give the results of the simulation. Various off-the-shelves software will enable you to relatively easily design such an organizational system. 

However, the complexity isn’t with the technical design but rather with defining the relationships between stakeholders, or in other words, with having a clear understanding of how the organization operates. Building effective organizational systems must therefore involve experienced individuals from different key functional areas in the organization. No single individual can have the required knowledge to do this alone. 

09 March 2006

Business Intelligence needs to get more strategic.

I would like to focus in the next few posts on a specific knowledge-related activity: Business Intelligence (BI). 

 I will start by quoting the following article. It introduces very well what BI can ultimately enable at the retail end of a supply chain. A question I am asking myself is: If relatively mass market companies eventually manage to provide tailored products and services to individuals, how will luxury market companies respond to maintain their competitive advantage in terms of personalized products and /or services? 

<< Science fiction business is not so alien : The futuristic technology used by shops in the film Minority Report is not very far from current reality>> James Murray, IT Week, 28 Feb 2006 

 When starting work on his 2002 sci-fi film Minority Report, one of director Steven Spielberg’s first acts was to invite a team of scientists, philosophers and designers to a “think tank summit” to envisage how the world would look in 2054. […] the summit proved pretty effective and the depiction of a dystopian society where all advertising is tailored to the individual customer is looking more prophetic with each passing year. Minority Report’s vision of a world where people walk into Gap to be faced by holographic staff who greet them by name and ask how they’re getting on with their past purchases is intended as a nightmare scenario […]. 

But the fact Gap, as well as Guinness, Bulgari and Lexus, agreed to be involved suggests that this concept of individualised marketing is less a horror story, more a model of corporate efficiency. The fictional systems that in Minority Report allow firms to tailor adverts to customers’ tastes are only an extreme version of analytical business intelligence (BI) tools that are already available and being embraced by many firms. 

Even before 19th century department store mogul John Wanamaker complained, “Half the money I spend on advertising is wasted; the trouble is I don’t know which half,” firms were looking for ways to guarantee returns on marketing. But in the last few years, evolving analytical reporting tools coupled with an exponential increase in computing power have resulted in BI systems that provide an answer to this age-old dilemma. The latest generation of BI tools can analyse massive data warehouses to give firms a much better insight into customers’ habits and work out which buyers to target with which products. 

Online vendors such as Amazon were among the first to use this functionality to recommend items based on preferences of similar customers, but such systems are now being widely used in traditional shops to optimise pricing and marketing. Applying the same BI capabilities to internal data has also given firms real-time information on supply chains and performance, allowing them to optimise processes. For example, several US clothing firms now analyse demographic and sales data in such depth that they can tweak supply chains so that the right clothes always go to the right stores. New York gets extra Armani suits and Florida receives all the surplus XXL Bon Jovi T-shirts. This level of insight may make privacy advocates nervous, but according to recent reports, the way BI systems help optimise almost every aspect of companies’ operations – from production, through the supply chain to marketing – means those with a BI strategy are already outperforming those without […]. >>