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Big data and smart cities: a public sector organizational learning perspective

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posted on 2023-07-26, 16:16 authored by Ekene Okwechime, Peter Duncan, David Edgar
Public sector organizations (city authorities) have begun to explore ways to exploit big data to provide smarter solutions for cities. The way organizations learn to use new forms of technology has been widely researched. However, many public sector organisations have found themselves in new territory in trying to deploy and integrate this new form of technology (big data) to another fast moving and relatively new concept (smart city). This paper is a cross-sectional scoping study—from two UK smart city initiatives—on the learning processes experienced by elite (top management) stakeholders in the advent and adoption of these two novel concepts. The findings are an experiential narrative account on learning to exploit big data to address issues by developing solutions through smart city initiatives. The findings revealed a set of moves in relation to the exploration and exploitation of big data through smart city initiatives: (a) knowledge finding; (b) knowledge reframing; (c) inter-organization collaborations and (d) ex-post evaluations. Even though this is a time-sensitive scoping study it gives an account on a current state-of-play on the use of big data in public sector organizations for creating smarter cities. This study has implications for practitioners in the smart city domain and contributes to academia by operationalizing and adapting Crossan et al’s (Acad Manag Rev 24(3): 522–537, 1999) 4I model on organizational learning.

History

Refereed

  • Yes

Volume

16

Issue number

3

Page range

601-625

Publication title

Information Systems and e-Business Management

ISSN

1617-9854

Publisher

Springer Science and Business Media LLC

File version

  • Published version

Language

  • eng

Legacy posted date

2023-06-21

Legacy creation date

2023-06-21

Legacy Faculty/School/Department

Faculty of Business & Law

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