Table of Contents

Building Prosperous Knowledge Cities

Building Prosperous Knowledge Cities

Policies, Plans and Metrics

Edited by Tan Yigitcanlar, Kostas Metaxiotis and Francisco Javier Carrillo

This unique book reveals the procedural aspects of knowledge-based urban planning, development and assessment. Concentrating on major knowledge city building processes, and providing state-of-the-art experiences and perspectives, this important compendium explores innovative models, approaches and lessons learnt from a number of key case studies across the world.

Chapter 19: Benchmarking: Knowledge-based Development Metrics through the MAKCi Exercise

Alicia Leal and Blanca C. Garcia

Subjects: geography, cities, innovation and technology, innovation policy, urban and regional studies, cities, urban studies

Extract

Alicia Leal and Blanca C. Garcia INTRODUCTION Researchers and practitioners have agreed that one of the difficulties in creating and sustaining knowledge cities is the lack of benchmarks to identify those cities and regions that are generating knowledge-driven initiatives, thus triggering development and collective value for their regions (Chase, 2007). In such a challenging context, some key notions have emerged in recent years to characterize such benchmarks. Following a knowledge-based development (KBD) perspective, this chapter will report on research findings obtained from statistical modelling applied to knowledge city benchmarking methodologies. The main objective is to put forward a knowledge-based taxonomy as a methodological tool to identify how tacit knowledge conversion generates quantitative intangible indicators by means of simulation and pattern modelling (Montgomery et al., 2006). For urban communities around the world, such research could provide valuable information to build their own knowledge-city quantitative taxonomy, and make comparative identifications of those key elements of knowledge-leveraging capabilities that greatly impact cities’ knowledge capital. Indeed, a parallel benchmarking difficulty is creating a city’s systemic accountable base or taxonomy once the city’s contextual benchmarks have been established. The first part of the chapter will thus depict how at this point in the benchmarking process, the Generic Capitals System (GCS) emerges as a value-based, knowledge management (KM) model that attempts a systemic, integrative perspective for city taxonomy building (Carrillo, 2002, 2004). It elicits a systematic assessment of a city’s capital base (both tangible and intangible) and its capacity to recombine it in innovative ways. The...

You are not authenticated to view the full text of this chapter or article.

Elgaronline requires a subscription or purchase to access the full text of books or journals. Please login through your library system or with your personal username and password on the homepage.

Non-subscribers can freely search the site, view abstracts/ extracts and download selected front matter and introductory chapters for personal use.

Your library may not have purchased all subject areas. If you are authenticated and think you should have access to this title, please contact your librarian.

Further information