How “smart cities” will change supply chain management
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Purpose: – The purpose of this paper is to analyze the impact of smart city initiatives and big data on supply chain management (SCM). More specifically, the connections between smart cities, big data and supply network characteristics (supply network structure and governance mechanisms) are investigated. Design/methodology/approach: – An integrative framework is proposed, grounded on a literature review on smart cities, big data and supply networks. Then, the relationships between these constructs are analyzed, using the proposed integrative framework. Findings: – Smart cities have different implications to network structure (complexity, density and centralization) and governance mechanisms (formal vs informal). Moreover, this work highlights and discusses the future research directions relating to smart cities and SCM. Research limitations/implications: – The relationships between smart cities, big data and supply networks cannot be described simply by using a linear, cause-and-effect framework. Accordingly, an integrative framework that can be used in future empirical studies to analyze smart cities and big data implications on SCM has been proposed. Practical implications: – Smart cities and big data alone have limited capacity of improving SCM processes, but combined they can support improvement initiatives. Nevertheless, smart cities and big data can also suppose some novel obstacles to effective SCM. Originality/value: – Several studies have analyzed information technology innovation adoption in supply chains, but, to the best of our knowledge, no study has focused on smart cities.
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Smart tourism infostructure can lead to new information asymmetries that can be commercially exploited.
“At the same time, smart tourism infostructure can lead to new information asymmetries that can be commercially exploited (Tachizawa et al. 2015).”
From Smart tourism: foundations and developments (2015) · cites this paper as Tachizawa et al. 2015
Smart ecosystems resulting from smart cities are complex with high transaction costs that probably favor informal governance.
“Tachizawa et al. (2015) present possible implications of smart cities on business network structures and governance mechanisms, suggesting that the resulting smart ecosystems are complex with high transaction costs that probably favor informal governance.”
From Smart tourism: foundations and developments (2015) · cites this paper as Tachizawa et al. (2015)
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References 66 · Cited by 124
- Authors
- Tachizawa, E. M., Alvarez-Gil, M. J., & Montes-Sancho, M. J.
- Affiliations
- Universidad Carlos III de Madrid (ES)
- ORCID
- Tachizawa, Elcio M.
- Venue
- Supply Chain Management: An International Journal
- Publisher
- Emerald
- Published
- 2015-05-11
- Volume
- 20
- Issue
- 3
- Pages
- 237-248
- ISSN
- 1359-8546 (ISSN-L)
- OpenAlex
- W2060231125
- Cited by
- 124
- References
- 66
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 10 · 2023: 16 · 2022: 13 · 2021: 14 · 2020: 17 · 2019: 18 · 2018: 14 · 2017: 8 · 2016: 6 · 2015: 2
- FWCI
- 15.96
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Supply Chain Management An International Journal (publishedVersion)
- e-Archivo (Carlos III University of Madrid) (submittedVersion, cc-by-nc)
- Topics
- Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Keywords
- smart cities, big data, supply chain management, supply chain networks, network structure, governance mechanisms, network complexity, network centralization, network density, formal and informal governance, information technology adoption
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