Smart City Gnosys
Smart city article details
| Title | The Nurturing Of Theory For Smart Environments And Spaces: The Case Of Ambient Theory For Smart Cities |
|---|---|
| ID_Doc | 56150 |
| Authors | McKenna H.P. |
| Year | 2023 |
| Published | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14037 LNCS |
| DOI | http://dx.doi.org/10.1007/978-3-031-34609-5_8 |
| Abstract | Motivated by the need to continue developing the theoretical foundations for smart cities, together with the underexploiting of theory, the purpose of this paper is to explore ways of nurturing theory for smart environments and spaces using ambient theory for smart cities as a case example. A review of the research literature for smart environments is provided followed by a review of the literature pertaining to the nurturing of theory. Informed by the literature reviews, a conceptual framework for theory nurturing in smart environments is formulated and then operationalized for use in this paper using an exploratory case study approach combined with an explanatory correlational design. Variables relevant to the nurturing of theory in smart environments are identified, assessed, and correlated in the exploration of patterns and relationships. Findings also emerge pertaining to theory nurturing through online conference discussions and activities such as polling. Limitations and mitigations of this paper are identified while future directions emerge as opportunities and challenges going forward, opening the way for potentially interesting and rich discussions for urban researchers, practitioners, and planners. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
| Author Keywords | Adaptability; Algorithm-Assisted Theorizing; Awareness; Contexts; Discovery; Dynamic; Emergent; Meaningful Action; Meaningfulness; Online Conference Polling; Special Properties of Theory; Theory Building; Theory Development; Urban Design |
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