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Accounting and smart cities: New evidence for governmentality and politics
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Abstract
The concept of a smart city has attracted the attention of many scholars and policymakers in many countries worldwide. The role of accounting as a tool of governance in smart city politics, however, has so far been largely overlooked, especially in less developed countries (LDCs). This paper sets off to fill this research gap and hitherto unexplored linkages between accounting and smart cities. Drawing on the concept of governmentality, the authors conducted a case study based on document analysis, meetings observation, and 42 semi-structured interviews at a branch of a hybrid electricity company owned by New Cairo City in Egypt, during 2018. Findings show that the case company has implemented smart distribution networks of electricity in which new management accounting technology (enterprise resource planning (ERP) system) is used to trace costs, revenues, client complaints and feedback in a timely manner. The new network (of infrastructure and technologies) has represented timely accounting information as a major political power to influence accurate governance decision-making, such as smart electricity pricing and control, and to challenge governance decisions that are not sound. This paper is one of the first studies to explore the socio-political dynamics of accounting in smart city governance in the context of LDCs.
Keywords: Accounting, Smart Cities, Governmentality, Pricing Politics, ERP, New Cairo
Authors’ individual contribution: Conceptualization – L.A.A. and J.C.M.; Methodology – L.A.A.; Writing - Original Draft – L.A.A.; Writing - Review & Editing – L.A.A. and J.C.M.
Declaration of conflicting interests: The Authors declare that there is no conflict of interest.
JEL Classification: M41, M48
Received: 21.01.2020
Accepted: 06.04.2020
Published online: 09.04.2020
How to cite this paper: Alsaid, L. A., & Mutiganda, J. C. (2020). Accounting and smart cities: New evidence for governmentality and politics. Corporate Ownership & Control, 17(3), 158-170. https://doi.org/10.22495/cocv17i3art12