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Government-university collaboration on smart city and smart government projects: What are the success factors?
Abstract Despite the widespread practice of cooperation between governments and universities on smart city and smart government projects, the factors influencing this cooperation are not well known. We explore government-university collaboration to illuminate four potential determinants of success in such projects: output, institutional, relationship, and framework factors. Using mixed methods, including a theoretically informed crisp-set qualitative comparative analysis methodology and thematic analysis of interviews and secondary data, we identify the causal relationships among these determinants and perceived success of government-university collaboration on smart city and smart government projects. We find that for a collaboration to be considered successful, all of these factors must be present and positive. In contrast, a negative assessment of even one of these factors is sufficient to evaluate the collaboration as unsuccessful.
Highlights We create a framework for successful government-university collaboration in smart city and smart government projects. Our study employs a combined approach of using QCA and conducting a thematic analysis of interview data. Our study reveals both the necessary and sufficient conditions for the success and failure of collaborative efforts. Our research offers insights into the reasons behind both the success and failure of such projects.
Government-university collaboration on smart city and smart government projects: What are the success factors?
Abstract Despite the widespread practice of cooperation between governments and universities on smart city and smart government projects, the factors influencing this cooperation are not well known. We explore government-university collaboration to illuminate four potential determinants of success in such projects: output, institutional, relationship, and framework factors. Using mixed methods, including a theoretically informed crisp-set qualitative comparative analysis methodology and thematic analysis of interviews and secondary data, we identify the causal relationships among these determinants and perceived success of government-university collaboration on smart city and smart government projects. We find that for a collaboration to be considered successful, all of these factors must be present and positive. In contrast, a negative assessment of even one of these factors is sufficient to evaluate the collaboration as unsuccessful.
Highlights We create a framework for successful government-university collaboration in smart city and smart government projects. Our study employs a combined approach of using QCA and conducting a thematic analysis of interview data. Our study reveals both the necessary and sufficient conditions for the success and failure of collaborative efforts. Our research offers insights into the reasons behind both the success and failure of such projects.
Government-university collaboration on smart city and smart government projects: What are the success factors?
Guenduez, Ali Asker (author) / Frischknecht, Ruth (author) / Frowein, Sebastian C.J. (author) / Schedler, Kuno (author)
Cities ; 144
2023-10-29
Article (Journal)
Electronic Resource
English
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