DATA- AND KNOWLEDGE-DRIVEN SMART CITY STRATEGIES: RESEARCH ON IMPLEMENTATION CHALLENGES OF LOCAL GOVERNMENTS IN TURKEY

Akın Özdemir
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Abstract

The present study sought an answer to the question, “What kind of challenges do local governments in Turkey confront while implementing data- and knowledge-driven smart city strategies?”. It seems noteworthy to explore tacit links between such implementation challenges through a field study employing an exploratory design. Thanks to the original theoretical framework enriched with empirical findings, this research is expected to bring practical and theoretical contributions to the smart city literature. The data were gathered through face-to-face, semi-structured interviews with 23 personnel of Sakarya Metropolitan Municipality (SMM), which has become the very first local government in Turkey to have introduced a smart city strategy and action plan. In this field research employing a single case, the content analysis technique was utilized to interpret the findings. Accordingly, SMM is faced with basically data-driven difficulties such as data security, poor technological and physical infrastructure, insufficient budget and high costs, dubious legal regulations and bureaucracy, resistance to change, lack of human resources and high turnover, and digital divide while implementing its smart city strategy.
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数据和知识驱动的智慧城市战略:土耳其地方政府实施挑战研究
本研究旨在回答以下问题:“土耳其地方政府在实施数据和知识驱动的智慧城市战略时面临什么样的挑战?”似乎值得注意的是,通过采用探索性设计的实地研究来探索这些实现挑战之间的隐性联系。本研究独创的理论框架和丰富的实证研究成果,有望为智慧城市文献带来实践和理论贡献。这些数据是通过对萨卡里亚市(SMM)的23名工作人员进行面对面的半结构化访谈收集的,萨卡里亚市是土耳其第一个引入智慧城市战略和行动计划的地方政府。在这一领域的研究采用单一的情况下,内容分析技术被用来解释研究结果。因此,SMM在实施智慧城市战略的过程中,基本上面临着数据安全、技术和物理基础设施差、预算不足和成本高、法律法规可疑和官僚主义、抗拒变革、人力资源缺乏和高流动率、数字鸿沟等数据驱动的困难。
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