Local social knowledge management: Community actors, institutions and multilevel governance in regional foresight exercises Export

@article{citeulike:4202545, abstract = {A key question for policymakers at the regional and local level is how to provide the right conditions for generating the growth of more knowledge-intensive forms of economic activity within the context of dynamic innovation systems or learning regions. Regional foresight exercises may provide a useful instrument in helping chart their economic strategies. Successful regions must be able to engage in regional foresight exercises that identify and cultivate their assets, undertake collaborative processes to plan and implement change, and encourage a regional mindset that fosters growth. Communities and regions, like companies, need to innovate and adapt to remain competitive. As a result, successful regions must be able to engage in regional foresight exercises that identify and cultivate their assets, undertake collaborative processes to plan and implement change, and encourage a regional mindset that fosters growth. This paper provides an overview of these issues by reviewing the most important ideas in the recent literature on innovation systems, technological dynamism and local economic development. We regard regional foresight processes to be, at their most fundamental level, socially organized learning processes involving learning by individuals, by firms, and by institutions. One of our central concerns is to show how the actions of individuals to shape collective local visioning exercises interact with larger institutional structures to produce local outcomes.}, author = {Gertler, M.}, citeulike-article-id = {4202545}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/S0016-3287(03)00139-3}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0016-3287(03)00139-3}, doi = {10.1016/S0016-3287(03)00139-3}, issn = {00163287}, journal = {Futures}, keywords = {foresight, regional\_science}, month = {February}, number = {1}, pages = {45--65}, posted-at = {2009-03-21 10:26:03}, priority = {5}, title = {Local social knowledge management: Community actors, institutions and multilevel governance in regional foresight exercises}, url = {http://dx.doi.org/10.1016/S0016-3287(03)00139-3}, volume = {36}, year = {2004} }

TY - JOUR ID - citeulike:4202545 L3 - citeulike-article-id:4202545 N2 - A key question for policymakers at the regional and local level is how to provide the right conditions for generating the growth of more knowledge-intensive forms of economic activity within the context of dynamic innovation systems or learning regions. Regional foresight exercises may provide a useful instrument in helping chart their economic strategies. Successful regions must be able to engage in regional foresight exercises that identify and cultivate their assets, undertake collaborative processes to plan and implement change, and encourage a regional mindset that fosters growth. Communities and regions, like companies, need to innovate and adapt to remain competitive. As a result, successful regions must be able to engage in regional foresight exercises that identify and cultivate their assets, undertake collaborative processes to plan and implement change, and encourage a regional mindset that fosters growth. This paper provides an overview of these issues by reviewing the most important ideas in the recent literature on innovation systems, technological dynamism and local economic development. We regard regional foresight processes to be, at their most fundamental level, socially organized learning processes involving learning by individuals, by firms, and by institutions. One of our central concerns is to show how the actions of individuals to shape collective local visioning exercises interact with larger institutional structures to produce local outcomes. IS - 1 JF - Futures SN - 00163287 EP - 65 TI - Local social knowledge management: Community actors, institutions and multilevel governance in regional foresight exercises VL - 36 SP - 45 KW - foresight KW - regional_science AU - Gertler, M PY - 2004/02// UR - http://dx.doi.org/10.1016/S0016-3287(03)00139-3 ER -