Fri 9 Jul 2010
1. Part One: The history and purpose of talent management: What is it? Does it matter? Has it now been shown to be an effective identifier for HR?
Do we need to understand the roots of talent management to really use it? Maybe not: but some understanding of the causes and reasoning are helpful so that we don’t see talent management as simply a development tool that enables good workers to be profitable or a set of tools to retain intellectual capital and knowledge capital. There are wider issues to do with more tangible business processes and to do with creating a long-tail solution to succession planning and leadership pipelines.
Most will point to the origins of talent management as being Softscape CEO, Dave Watkins, who in 1998 published a newsletter on an IT tool they had developed called Lightyear. The paper was entitled: “An appliation framework for talent management that acts as a central feedback center for all organizational functions.” It never mentions recruitment or enabling talent as we now think of it, but most agree, it is the first known use of the phrase. However, the origins of talent management as a sytematic approach to competence-based HCM (Human Capital Management) is far more complex.
Any system in OD can be open or closed or both: this is important. For example, school children needing a hall pass are in a closed system, but do not need to ask for pencils (the organisational culture dictates they should have one with them). Feedback systems were developed in the 1930s by Kurt Lewin and others to ensure that closed systems reinforce positive messages in learning and development (a learning loop) and open systems meant that feeback was actually taken on board as culture changes for the better. From this we get a host of feedback systems all of which try to get the employee to give an honest evaluation of what would make their job better. Currently we are using 360° reviews, and coaching and mentoring programs.
Kurt Lewin [1890 - 1940]
This makes one half of the equation: the human feedback or loop.
Approaching fast from another angle are the quality and statistics gurus, like Walter A Shewart, whose Learning Cycle make Lewin’s methodologies measurable, and George Box, a statistical genius at business costs, and of course, Deming. Deming believed in TQM: total quality management. His work in Japan led to the 5 s approach: clean, clear, uncluttered, no waste, on demand manufacturing and those qualitites where human-based and human-driven. A great and under-rated example of this is Yoshio Kondo’s Total Employee Involvement (TEI). Kondo simply advocated that the time was coming when quality would equal employees committment. And, that that committment would be tied to their involvement and not simply to rewards. His ideas around the need for creativity while applying TQM (Total Quality Management) are, if anything, more relevant today than they were in 1989 when he published Human Motivation: A Key Factor for Management.
Both approaches, the feedback loop and the quality approach were productive, but they needed a synthesis. It all culminated in the publication in 1990 of an extraordinary book that literally changed how companies saw HR. Peter Senge’s The Fifth Discipline: the art and practice of the learning organization not only called for this seismic shift and just in time for the internet boom, but gave people all the tools they needed to implement the process.
The Fifth Dicipline showed different ways to do three things: firstly, to “foster aspirations”, secondly, to “create reflective conversations” and finally to “understand complexity”. These was achieved by the five disciplines: firstly, develop “personal mastery” and vision, secondly, examine “mental modes” and the assumptions of any organisation, thirdly, build shared vision, fourthly, get the team “genuinely thinking together”, and finally the fifth discipline is “systems thinking”, an amalgamation of all of these. It also advocated awareness of laws that would help and hinder the process. It was, and still is, enormously influential, and even though it failed to see recruitment, leadership pipelines, and networking per se it hints at all of them. Most of all though, Senge is highly intelegant: simple, intelligent, and elegant in his exposition and thinking. Here was a book everyone could follow - and many did.
From this we get not only the Learning Organization (one that listens and takes on board it’s own information) but also the idea that man management falls short: there is capital in the ideas and feedback of workers. While Senge cannot take credit for the idea of Human Capital, the opening of systems meant that seniors in the company has already seen bottom line value in their workers ideas rather than just their productivity; but the from Taylorism and army developed ideas of IQ and command and control into new frontiers of Howard Gardner’s frames (How we think about problems determines how we choose to solve that problem) and Goleman’s work on EQ and Emotional Intelligence and so on complete a very important change in work: from a manufacturing and industrial worker to the knowledge worker.
All of these factor led in the 1990 to re-engineering and out that came the idea of Intellectual Capital. The best analogy I can think of for intellectual capital is a computer: the computer loses its value as a commodity from the moment you buy it, but the information it holds, its equity, is worth much more than the computer itself. This is true for us too: our knowledge and experience within an organisation cannot just be transferred to a new employee, we learn culture, we know more than just facts, look at the human realtionships and networks for a start. Business Week in 2006 had a great story about a maintenance manager in London who was given a S-Class Mercedes by the CEO. They had replaced him after 15 years with a subcontracted firm, witihn eight weeks they couldn’t work the heating, make the plumbing work, or find out why the air conditioners weren’t working. Smart guy: good intellectual capital!
Intellectual Capital’s leading exponent was a Swede working for Skandia, Lief Edvinsson, who had in turn taken on board the groundwork laid by a fellow Swede, Karl-Erik Sveiby and Hiroyuki Itami’s excellent Mobilizing Invisible Assets, published by Thomas W Roehl in 1991 it led to the idea that the ideas people had were as much assets as any machinery, land or inventory. While hardly a new ide
a in iteself it did provide a way to quantify on the balance sheet the intellectual capital of a company.
So now we have all the parts of one side of the equation: listening and evaluating, quality systems and intellectual capital. The other part of the equation was very simple: employers needed brains, and so, the hunt for talent was on. Like racehorses, if you could find the best early on and develop some way of making them stay, the potential profits were huge.
The talent process was initially just a way to hunt for graduates before they sent off their CVs. From the Universities came the Milk Round, where top companies looking for top recruits could have a pre-process face to face. This has now turned into global career fairs with top Blue Chips seeking talent from all areas.
Recruitment shifted dramatically in the 1960s in the 1970s from simply a job market where jobs where available and full employment was the reality to the massive depression of the early Seventies. The Eighties saw an upswing in the economy and crucially Business became the game to be in: employees were educating themselves, the brightest and best were no longer looking for jobs for life; they wanted statues, reward, and responsibility over security. With the onset of IT after 1994 we see a further crucial change: unlike Ford and his manufacturing base where manpower is needed, in the Knowledge Economy, specialism is in the hands of the few and they are the talent. You either know SAP or you don’t, you can either write COBOL or you can’t, no longer is it just take a kid, train them in sales, if they do well promote them; the game changed.
What did not change was that organizations acknowledged that a good organization needed both a good culture and that that came, not from theories and GANT charts, but from its leaders and its people. Now it seems just common sense, but as IBM proved, the balance is between being an organization that demands people act in an exact way (The Blue Book for employees even outlined dinner conversations for middle managers) and Microsoft, who integrated new techniques, sought talent, and did it right during the 90s.
In conclusion, having some understanding that quality and feedback process should shape a talent process, and that it should not just be a recruitment process matters. As we shall see in the next part, talent is about identification, but, without the right culture talent leaves; and we don’t want that investment bolting, do we?
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