MAKCi: a knowledge-based development metrics experience

被引:11
作者
Garcia, Blanca C. [1 ]
机构
[1] Publ Policy Dept, North East Reg,El Colegio Frontera Norte 277, Monterrey, Mexico
关键词
knowledge-based development; KBD; development metrics; development policy; knowledge cities; KCs; Most Admired Knowledge City; MAKCi; knowledge network; relational capital; social capital; knowledge creation; tacit knowledge conversion; community management;
D O I
10.1504/IJKBD.2012.050093
中图分类号
TU98 [区域规划、城乡规划];
学科分类号
0814 ; 082803 ; 0833 ;
摘要
This article advances a practical application of an emerging collaborative model for knowledge-based development metrics. It aims to identify KBD metrics indicators dynamics by depicting the process of a five-year case study on a KBD international consultation known as the Most Admired Knowledge City Awards (MAKCi) exercise. The MAKCi exercise is depicted as an intriguing quest into the KBD metrics arena, which fosters a knowledge-generating space through the connected expertise of a global networked community. By building an insider view of engaged practitioners' experiences, this paper aims to bring in a practical perspective into how knowledge-based development (KBD) metrics can be collectively generated, and how these knowledge-creation efforts foster tacit knowledge conversion into explicit scholarly knowledge.
引用
收藏
页码:367 / 387
页数:21
相关论文
共 46 条
  • [1] Augier M., 1999, J KNOWLEDGE MANAGEME, V3, P252, DOI DOI 10.1108/13673279910304005
  • [2] Batra S., 2008, DEV REGIONAL KNOWLED
  • [3] A roster of world cities
    Beaverstock, JV
    Smith, RG
    Taylor, PJ
    [J]. CITIES, 1999, 16 (06) : 445 - 458
  • [4] BROWN JS, 2000, SOCIAL LIFE INFORM
  • [5] CARRILLO F, 2006, KNOWLEDGE CITIES APP
  • [6] Carrillo F., 2010, 3 KNOWL CIT WORLD SU
  • [7] Carrillo F. J., 2004, Journal of Knowledge Management, V8, P28, DOI 10.1108/13673270410558738
  • [8] Carrillo F. J., 1998, J KNOWLEDGE MANAGEME, V1, P280
  • [9] Carrillo F. J., 2002, J KNOWLEDGE MANAGEME, V6, p[3, 379]
  • [10] Chase R., 2007, FOREWORD MOST ADMIRE