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Drivers for managing knowledge in the context of smart cities: an empirical study
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2024-07-15
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Abstract
Purpose Knowledge management is seen as a core element for successful implementation of smart cities projects. However, so as to create efficient KM strategies, it is critical for smart cities organisations to understand their unique drivers to manage knowledge in their particular environment. The aim of this paper is to investigate the key drivers that have pushed forward the implementation of KM strategies within the context of smart cities. Research methodology The study deployed an online questionnaire survey conducted via 97 participants from various public and private sector organisations involves in smart cities projects and initiatives. The quantitative data has been analysed with the help of statistical techniques such as descriptive analysis and the t-test. Statistical analyses were undertaken using the Statistical Package for Social Sciences (SPSS). Findings The findings of this study revealed that the five most important drivers for managing smart cities related knowledge are: to improve sharing of knowledge related to smart cities agenda, to protect loss of smart cities related knowledge due to key workers’ departures, to help integrate knowledge assets related to smart cities agenda, to improve the capture knowledge related to smart cities agenda, and to improve employee’s productivity in implementing smart cities agenda. Originality/value This study uses an objective and quantitative approach that fills gaps in the existing literature by providing an explicit representation of the drivers for managing knowledge in the context of smart cities.
Citation
Abdalla, W., Renukappa, S. and Suresh, S. (2024) Drivers for managing knowledge in the context of smart cities: an empirical study. Beyond Futures - Festival of Research & Innovation 2024, 16th-18th July 2024, University of Wolverhampton, pp. 475-486.
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Conference contribution
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en
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Paper delivered at Beyond Futures, Festival of Research and Innovation, Tuesday 16 – Thursday 18 July 2024, University of Wolverhampton.
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2634-2014