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10
Nov
2009 |
I appreciated Madeline Smith’s remarks (may require login) at TCI 2009, wherein she outlined her thoughts on how regional clusters can become learning clusters. Clusters, she noted, are complex animals wherein you have “good companies, strong research universities and supportive policy makers, and you sort of mix them all together and magically economic growth pops out the other end.” Ultimately clusters are relationship-based entities, and they are susceptible to the pitfalls that strike most socio-economic initiatives. This includes, as Madeline noted in her talk, changes in the external environment, changing customer expectations, demands to learn to adapt and evolve, and a need for internal systems that allow for incorporation of formative feedback. One can see why it’s a challenge for clusters to achieve the Holy Grail of organizational effectiveness: status as a learning organization.
In addition to the challenges outlined by Madeline, I would argue that a necessary component to becoming a learning cluster is judicious and systematic use of strategy and evaluation. But one takeaway I have from my hallway conversations in Jyväskylä is that neither is happening as well as it should within the cluster community.
What’s keeping clusters from rushing headlong into strategy and evaluation? I’d like to leverage something that Madeline brought up in her talk. In discussing barriers to learning, Madeline talked about how “our current world view restricts our ability to learn” and that everyone brings a cognitive bias and their own cognitive frameworks to a project.
I’d like to suggest that a good deal of the variance in why clusters don’t engage in strategic planning and program evaluation is explained by the world view of cluster stakeholders, or to be more specific, the competing world views of the stakeholders.
It’s quite easy to imagine how this might be the case. The concept of strategic planning and the ideas behind program evaluation, depending on one’s disciplinary background, are defined, applied, and conducted in different ways. Thus the cognitive biases and frameworks of those from business, government, education, and the social sector tacitly and explicitly collide in ways that can lead to inaction, adherence to status quo, and lackluster results in the face of rich resources.
For instance, as Allison and Kay have noted, strategic planning is a term that is often used interchangeably with “long-range planning,” “business planning,” and “operational planning.” In the case of evaluation, its not uncommon to have the term “program evaluation” be confused with “monitoring” or “surveillance,” or “reporting,” all terms which are antonyms to the beneficial, learning-focused nature of quality program evaluation. As Mari Jose Aranguren and her colleagues noted in their presentation (may require login), there are severe difficulties in evaluating clusters due to their implicit characteristics: a mixture of tangible and intangible objectives; the complexity of determining cause-effect relationships. (By the way, I think the application of participatory evaluation frameworks, which Mari and her colleagues are doing, could have great promise in advancing program evaluation within clusters.)
I’d be curious to hear from others who are in the throes of bringing robust strategy and evaluation techniques to clusters. What has been challenging? What seems to be working?











