How Smart Cities Transform Operations Models: A New Research Agenda for Operations Management in the Digital Economy

Li, F., Nucciarelli, A., Roden, S. & Graham, G. (2016). How Smart Cities Transform Operations Models: A New Research Agenda for Operations Management in the Digital Economy. Production Planning & Control, 27(6), pp. 514-528. doi: 10.1080/09537287.2016.1147096

[img]
Preview
Text - Accepted Version
Download (986kB) | Preview

Abstract

The notion of smart cities is growing in prominence in the digital economy. The integration of urban infrastructures with information and communication technologies (ICT) enables the development of new operations models. Digitised infrastructures offer opportunities for public and private organisations to design and deliver more customer-centric products or services, particularly for those that require geographical proximity with consumers in the O2O (online to offline) context. A framework is developed and used to analyse three case examples. These cases illustrate the emergence of new operations models and, demonstrate how smart cities are re-defining the characteristics of operations models around their scalability, analytical output and, connectivity. We also explore the feasibility, vulnerability and acceptability of each new operation. This paper contributes to our understanding of how smart cities can potentially transform operational models, and sets out a research agenda for operations management in smart cities in the digital economy.

Item Type: Article
Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning and Control and available online at http://dx.doi.org/10.1080/09537287.2016.1147096
Uncontrolled Keywords: Smart city, big data, operations model, online to offline (O2O), digital economy, transformation
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
H Social Sciences > HT Communities. Classes. Races
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Cass Business School > Faculty of Management
URI: http://openaccess.city.ac.uk/id/eprint/13879

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics