Zhang often reminds his colleagues that itās impossible to engineer a complex system from the top down. It has to emerge through an iterative process of experimentation and learning. When asked how Haier can accelerate its transformation, Zhang has a simple answer: run more trials and replicate the most successful ones faster.
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Haierās success is the result of a root-and-branch overhaul of its once-traditional management model. Led by Zhang Ruimin, Haierās renegade chairman and CEO, the radical makeover focused on three objectives:
- Turning every employee into an entrepreneur
- Creating āzero distanceā between employees and users
- Making the company a power node in an ever-expanding, web-centric ecosystem
Even when an organization is led by a pioneering CEO like Jan Wallander or Zhang Ruimin, crafting a new management model is more about ādiscover and testā than āengineer and impose.
In a recent article called āAre Ideas Getting Harder to Find?,ā economists from Stanford and LSE analysed this phenomenon quantitatively. Across a range of industries, across firms, and in the aggregate economic data they found the same thing: progress becomes harder and harder. Based on their numbers, in order to double our overall level of technological advancement, we need to put in, conservatively, four times as much research effort as we did for the previous doubling. To illustrate, suppose (simplistically) that initially it took 10 person-years of āresearchā to double the worldās level of technological advancement: to move from knowing only how to make a stone axe to knowing how to make both an axe and a spear. In order to get the next doubling of technological progress, it would take 40 person-years of research. The next doubling would take 160 person-years, then 640 person-years, then 2,560 person-years, and so on.
Successful efforts at building trust are often achieved through trial-and-error experimentation in the local setting in which they are to be used. Remember how Renick handled the problem of students losing their Hope Scholarships. He started small. He tried things and kept track of their effect, jettisoning or improving what didnāt work, incrementally expanding what did work, until he and his colleagues had essentially transformed a university. Thatās what I mean by trial-and-error experimentationā modifying systems to better meet, in that case, student needs. A strategy like seeing, welcoming, and supporting can guide the search for tactics needed to build trust. But the process isnāt complete without further effort of developing tactics to implement the strategy, often through trial and error.
Building on our study findings that CEOs who lead through influence were the most effective, we followed up by conducting interviews to learn about the development advice and training these leaders had received. We asked leaders to describe how they made the journey to becoming the highly effective leaders they were. What emerged is that a leaderās evolution generally proceeds in iterative cycles, with steps forward often followed by backsliding into old habits and then a renewed effort at change. Itās a process of trial and error, and often of fits and starts, as the daily grind of immediate demands diverts attention from oneās inner work. Those who continue to progress in the journey typically go through a three-phase cycle.
First, they are confronted with a necessity for change either because they took on a new challenge that reveals the shortfalls in their leadership or through feedback from their higher-up, colleagues, or mentor.