The DOI matches its Crossref record; 45 of the 46 references it cites were found in a registry or an index.
Rescaling and refocusing smart cities research: from mega cities to smart villages
Abstract
Purpose: The purpose of this paper is to rethink the focus of the smart cities debate and to open it to policymaking and strategy considerations. To this end, the origins of what is termed normative bias in smart cities research are identified and a case made for a holistic, scalable and human-centred smart cities research agenda. Applicable across the micro, mezzo and macro levels of the context in which smart cities develop, this research agenda remains sensitive to the limitations and enablers inherent in these contexts. Policymaking and strategy consideration are incorporated in the agenda this paper advances, thus creating the prospect of bridging the normative and the empirical in smart cities research. Design/methodology/approach: This paper queries the smart cities debate and, by reference to megacities research, argues that the smart city remains an overly normatively laden concept frequently discussed in separation from the broader socio-political and economic contexts in which it is embedded. By focusing on what is termed the normative bias of smart cities research, this paper introduces the nested clusters model. By advocating the inclusion of policymaking and strategy considerations in the smart cities debate, a case is made for a holistic, scalable and human-centred smart cities agenda focused, on the one hand, on individuals and citizens inhabiting smart cities and, on the other hand, on interdependencies that unfold between a given smart city and the context in which it is embedded. Findings: This paper delineates the research focus and scope of the megacities and smart cities debates respectively. It locates the origins of normative bias inherent in smart cities research and, by making a case for holistic, scalable and human-centred smart cities research, suggests ways of bypassing that bias. It is argued that smart cities research has the potential of contributing to research on megacities (smart megacities and clusters), cities (smart cities) and villages (smart villages). The notions of policymaking and strategy, and ultimately of governance, are brought into the spotlight. Against this backdrop, it is argued that smart cities research needs to be based on real tangible experiences of individuals inhabiting rural and urban space and that it also needs to mirror and feed into policy-design and policymaking processes. Research limitations/implications: The paper stresses the need to explore the question of how the specific contexts in which cities/urban areas are located influence those cities/urban areas’ growth and development strategies. It also postulates new avenues of inter and multidisciplinary research geared toward building bridges between the normative and the empirical in the smart cities debate. More research is needed to advance these imperatives at the micro, mezzo and macro levels. Practical implications: By highlighting the connection, relatively under-represented in the literature, between the normative and the empirical in smart cities research, this paper encourages a more structured debate between academia and policymakers focused on the sustainable development of cities/urban areas. In doing so, it also advocates policies and strategies conducive to strengthening individuals’/citizens’ ability to benefit from and contribute to smart cities development, thereby making them sustainable. Social implications: This paper makes a case for pragmatic and demand-driven smart cities research, i.e. based on the frequently very basic needs of individuals and citizens inhabiting not only urban but also rural areas. It highlights the role of basic infrastructure as the key enabler/inhibitor of information and communication technology-enhanced services. The nested clusters model introduced in this paper suggests that an intimate connection exists between individuals’ well-being, their active civic engagement and smart cities sustainability. Originality/value: This paper delineates the relationship between megacities and smart cities research. It identifies the sources of what is termed normative bias in smart cities research. To address the implications of that bias, a nested clusters model for smart cities is introduced, i.e. a conceptual framework that allows us to redraw the debate on smart cities and establish a functional connection between the array of normatively laden ideas of what a smart city could be and what is feasible, and under which conditions at the policymaking level.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“owing to the disciplinary origins of ICT-oriented literature which resorts to what is labelled 'normative bias' of smart city research [135]”
From On the sustainability of smart and smarter cities in the era of big data: an interdisciplinary and transdisciplinary literature review (2019) · cites this paper as [135]
Citations
Cites
World Urbanization Prospects: The 1996 Revision
Brockerhoff, M. P., & Nations, U. (1998) · Population and Development Review · doi:10.2307/2808041 · Cited by 5,900
Clusters and the new economics of competition.
Porter, M. E. (1998) · PubMed · Cited by 5,692
Clusters and the New Economics of Competition
Milošević, D. (2014) · Harvard business review · Cited by 4,857
Deconstructing clusters: chaotic concept or policy panacea?
Martin, R., & Sunley, P. (2003) · Journal of Economic Geography · doi:10.1093/jeg/3.1.5 · Cited by 2,234
Smart sustainable cities of the future: An extensive interdisciplinary literature review
Bibri, S. E., & Krogstie, J. (2017) · Sustainable Cities and Society · doi:10.1016/j.scs.2017.02.016 · Cited by 1,599
What are the differences between sustainable and smart cities?
Ahvenniemi, H., Huovila, A., Pinto-Seppä, I., & Airaksinen, M. (2017) · Cities · doi:10.1016/j.cities.2016.09.009 · Cited by 1,378
Smart city policies: A spatial approach
Angelidou, M. (2014) · Cities · doi:10.1016/j.cities.2014.06.007 · Cited by 986
Smart cities: A conjuncture of four forces
Angelidou, M. (2015) · Cities · doi:10.1016/j.cities.2015.05.004 · Cited by 863
How do we understand smart cities? An evolutionary perspective
Kummitha, R. K. R., & Crutzen, N. (2017) · Cities · doi:10.1016/j.cities.2017.04.010 · Cited by 601
Zhou, C. (2018) · Sustainability · doi:10.3390/su10010114 · Cited by 477
Research works printed but not linked: 5
- 2016, Megacities: setting the scene, Council on Tall Buildings & Urban Habitat (CTBUH) Journal
- 2018, Smart villages: concept, relevance, and policy responses, Sustainability, 10, 1
- 2016, Big data, big economic impact?, I/S: A Journal of Law and Policy for the Information Society, 10, 757
- 2017, Stickiness and slipperiness in Istanbul’s old city jewellery cluster: a survival story, Journal of Economic Geography, 17, 893
- 2017, Cluster activities in different institutional environments: case studies of ICT-clusters from Austria, Germany, Ukraine and Serbia, Administrative Sciences, 7, 1, 10.3390/admsci7020011 · DOI
Cited by
Sorted by citations
Items 201–260 of 260
Well-being as a Function of Technology and Smart Economy: A Municipality-Level Study
Wei, W., & Önder, İ. (2023) · International handbooks of quality-of-life · doi:10.1007/978-3-031-31513-8_34 · Cited by 2
Clinical decision support for infection control in surgical care
Spruit, M. R., & van der Rijnst, S. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-819043-2.00004-6 · Cited by 2
A Parallel Metaheuristic Approach to Reduce Vehicle Travel Time for Smart Cities Sustainability
Rico-Garcia, H., Sánchez-Romero, J.-L., Jimeno-Morenilla, A. M., & Migallón, H. (2021) · Springer proceedings in complexity · doi:10.1007/978-3-030-62066-0_4 · Cited by 2
Recognizing intra-urban disparities in smart cities: An example from Poland
Maleszyk, P. (2021) · Elsevier eBooks · doi:10.1016/b978-0-323-85151-0.00011-7 · Cited by 2
Integrating Smart City to Smart Village Initiation: Potential and Aspiration
Imron, D. K., & Nababan, F. E. (2022) · International Conference on Rural Socio-Economic Transformation: Agrarian, Ecology, Communication and Community Development Perspectives (RUSET) · doi:10.4108/eai.14-9-2021.2317196 · Cited by 2
“It is argued that the potential of smart city approach to smart megacities and clusters, cities and villages [7].”
Loia, F. (2023) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-80382-551-920231012 · Cited by 2
Key challenges related to smart villages
Niewiadomska, A. (2023) · Przegląd Prawa Rolnego · doi:10.14746/ppr.2023.32.1.1 · Cited by 2
Policy implications for smart healthcare: The international collaboration dimension
Lytras, M. D., Sarirete, A., & Stasinopoulos, V. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-819043-2.00017-4 · Cited by 2
Self-citationExploring Kente weaving industry to drive smart community development in Ghana
King, R. S., Mensah, H., Simpeh, E. K., & Nerquaye-Tetteh, E. (2023) · SN Social Sciences · doi:10.1007/s43545-023-00793-6 · Cited by 1
“More than 100 billion dollars is expected to be invested in smart city applications by 2030 (Visvizi and Lytras 2018).”
Smart Village—A Potential to Apply in Vietnamese Rural Areas
Trung, N. T. H., Vinh, N. Q., & Thang, P. D. (2023) · Lecture notes in civil engineering · doi:10.1007/978-981-99-7434-4_16 · Cited by 1
Place branding as rural development policy in China: the case of Guangshan county
Zhang, Y., Liu, S., & Baldi, G. (2024) · Digital Policy Regulation and Governance · doi:10.1108/dprg-02-2023-0032 · Cited by 1
Bürger, K., Kumar, V., Thomas, J., Tryfonas, T., & Leonards, U. (2026) · Journal of Smart Cities and Society · doi:10.1177/27723577251407990 · Cited by 2
“Moreover, scaling participatory sensemaking requires time, facilitation, and trust, that is, resources municipalities may not always have (Bouzguenda et al., 2019; Visvizi and Lytras, 2018).”
Botti, A., & Monda, A. (2022) · Springer eBooks · doi:10.1007/978-3-030-93585-6_14 · Cited by 1
Smart small villages conceptualization based on the capabilities co-elevation for smart citizens
Baldi, G., & Megaro, A. (2023) · ITM Web of Conferences · doi:10.1051/itmconf/20235102004 · Cited by 1
Overcoming the Tipping Point Through Service Innovation. An Overview of the Smart City
Polese, F., & Megaro, A. (2024) · Springer proceedings in complexity · doi:10.1007/978-3-031-44721-1_15 · Cited by 1
A Holistic Framework for Smart Cities Governance in the Gulf Region: From Hype to Sustainable Impact
Lytras, M. D., Alkhaldi, A. N., Malik, S., & Șerban, A. C. (2024) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83608-292-720241005 · Cited by 1
Self-citationArtificial Intelligence for Smart City Vision 2040 in Gulf Region
Lytras, M. D., Alkhaldi, A. N., Malik, S., & Șerban, A. C. (2024) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83608-292-720241034 · Cited by 1
Self-citationSmart Villages: Mapping the Emerging Field and Setting the Course of Action
Lytras, M. D., Visvizi, A., & Mudri, G. (2019) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-78769-845-120191013 · Cited by 1
Self-citationThe Belt and Road Initiative: Strategy, Collaboration, Innovation
Visvizi, A., Lytras, M. D., Alhalabi, W., & Zhang, X. (2019) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-78756-679-820191001 · Cited by 1
Self-citationThe relative decision-making algorithm for ranking data
Chen, Y.-J., & Lo, J.-M. (2020) · Data Technologies and Applications · doi:10.1108/dta-01-2019-0011 · Cited by 1
Wolski, O. (2020) · Annales Universitatis Mariae Curie-Sklodowska sectio B – Geographia Geologia Mineralogia et Petrographia · doi:10.17951/b.2020.75.0.37-67 · Cited by 1
From City to Smart City: Key Drivers of Change
LugoSantiago, J. A. (2020) · Springer eBooks · doi:10.1007/978-3-030-49020-1_2 · Cited by 1
Mazorra, Á. P. (2022) · Smart innovation, systems and technologies · doi:10.1007/978-981-19-1146-0_4 · Cited by 1
Connecting One Belt One Road Countries via Wireless Sensor Network
Chui, K. T., Alhalabi, W., Liu, R. W., & de Pablos, P. O. (2019) · Advances in finance, accounting, and economics book series · doi:10.4018/978-1-5225-8980-8.ch009
Virtual reality and sensors for the next generation medical systems
Mata, F., Torres-Ruiz, M. J., Zagal-Flores, R., & Moreno-Ibarra, M. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-819043-2.00012-5
Smart Destinations as a Reconversion Strategy for Rural Areas
Martínez, M. S. (2020) · Advances in information security, privacy, and ethics book series · doi:10.4018/978-1-7998-3817-3.ch009
Does size matter in smart cities?
Alizadeh, T. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819886-5.00001-3
Perspective, C.-O. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3805774
Feng, Z., Li, Y., Liu, Z., & Liu, R. W. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822060-3.00006-1
Artificial Intelligence for Smart and Sustainable Energy Systems and Applications
Lytras, M., & Chui, K. T. (2020) · MDPI eBooks · doi:10.3390/books978-3-03928-890-8
Self-citationConnecting One Belt One Road Countries via Wireless Sensor Network
Chui, K. T., Alhalabi, W., Liu, R. W., & de Pablos, P. O. (2021) · IGI Global eBooks · doi:10.4018/978-1-7998-7708-0.ch044
Analysis of Parkinson’s disease based on mobile application
Torres-Ruiz, M. J., Guzmán, G., Moreno-Ibarra, M., & Acosta-Arenas, A. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822060-3.00001-2
(2023) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-80455-994-920231018
Medical diagnosis in Alzheimer’s disease based on supervised and semisupervised learning
Zhao, M., Gao, Y., Zhang, Z., & Li, B. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822060-3.00004-8
International Scientific Conference – EMAN 2023: Vol 7. Conference Proceedings
(2023) · International Scientific Conference EMAN. Economics & Management: How to Cope With Disrupted Times · doi:10.31410/eman.2023
Post-Pandemic Urban Planning and Use of Information Technologies in Smart Cities
Konak, S. (2023) · Emerald Group Publishing Limited eBooks · doi:10.1108/s1877-636120230000033002
Mapping the Research Landscape of Social and Cultural Impacts on Smart Cities
Ibrahim, A. A. A. M., & Brahimi, T. (2024) · Springer proceedings in complexity · doi:10.1007/978-3-031-44721-1_10
International Scientific Conference – EMAN 2023: Vol 7. Selected Papers
(2023) · International Scientific Conference EMAN. Economics & Management: How to Cope With Disrupted Times · doi:10.31410/eman.s.p.2023
Sarip, M., Linty, M., Kurniadi, P., Erliana, L., & Xavier, E. (2024) · Journal International of Lingua and Technology · doi:10.55849/jiltech.v3i1.574
“In fact, technology greatly affects people's lives and has become a basic necessity for them (Abdel‐Basset et al., 2019; Ahmed & Tewari, 2018; Visvizi & Lytras, 2018) .”
BackgroundAlhasan, F. D. M., Sharma, N., Said, O. B., & Aldhawi, A. (2024) · Interciencia · doi:10.59671/qlkjj · Cited by 1
Building Urban Mobility through Smart Cities and Sustainable Policies
Herlan, H., Elyta, E., Qadrie, S. R. F. A., & Asriadi, A. (2024) · Jurnal Borneo Administrator · doi:10.24258/jba.v20i2.1428
“Therefore, individuals in rural and urban areas need experience to provide inputs, strategies, and sustainable policies to encourage smart cities (Visvizi & Lytras, 2018).”
Background(2024) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83608-292-720241035
Building community resilience to enhance Climate Smart Villages in the global south: A review
Defe, R., Matsa, M. M., & Mavugara, R. (2025) · Development Southern Africa · doi:10.1080/0376835x.2025.2464614 · Cited by 2
“Climate Smart Villages, which promote climate smart agriculture through local adaptation platforms, are widely claimed to enhance resilience to climate change (Partey et al., 2018; Visvizi & Lytras, 2018).”
Godlewska-Majkowska, H., Komór, A., & Zarębski, P. M. (2025) · Przedsiębiorczość Międzynarodowa · doi:10.15678/ier.2025.1102.07
Enhancing Smart Village Security with Blockchain and AI-Driven Intrusion Detection
Panigrahi, R. K., & Kumar, R. (2025) · Lecture notes in networks and systems · doi:10.1007/978-981-96-3728-7_37
Avelino, S. F., Pereira, R. D. S., & dos Reis, M. C. (2025) · Revista de Gestão e Secretariado (Management and Administrative Professional Review) · doi:10.7769/gesec.v16i7.5115
Petersen, S. A., Prabowo, B. N., Salaj, A. T., Anusha, R., Shan, L., Kishore, A., Hafin, P., & Bindu, G. (2025) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2025.12.072
SMART VILLAGE JAKO KONCEPCJA ROZWOJU ROLNICTWA 4.0
Niewiadomska, A. (2025) · Yearbook of Agricultural and Food Law · doi:10.31338/yafl.2.2025.8
Development of Smart City using Blockchain and Artificial Intelligence
Shelke, C. J., Gupta, M. P., Kumar, B., Kaiwade, A., Ananth, M. B. J., Gupta, S. C. D., & Vats, S. (2026) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9789815324211126010010
Humanizing Cities Through Urban Design: Urban Design Principles and Policymaking Considerations
Alganawi, A. H., Azizalrahman, H., & Visvizi, A. (2026) · Springer proceedings in complexity · doi:10.1007/978-3-032-09066-9_23 · Cited by 1
Self-citationProfiles of smart cities in Canadian: Between essence and challenges
Kimvi, S. M., & Gagnon, S. (2026) · Cities · doi:10.1016/j.cities.2026.106811
Visvizi, A., Ibrahim, A. A. A. M., & Khalifa, S. (2026) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-80592-369-520261001
Self-citationAI-Enabled Participatory Governance for Sustainable Urban Problem Reporting
Nikhra, S., Jaiswal, S., Tudha, S., Meena, K. B., & Tyagi, V. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-7804-6.ch002
International Scientific Conference – EMAN 2025: Vol 9. Conference Proceedings
(2025) · International Scientific Conference EMAN. Economics & Management: How to Cope With Disrupted Times · doi:10.31410/eman.2025
Sаpаyev, V., Aarthi, S., Sevara, T., Ravikumar, R. N., Urozboev, K., & Avazbek, R. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-4962-6.ch013
Urban-Rural Sustainability Divide Versus Urban-Rural Digital DividePreprint
Raheem, H. M. J., Mayo, S. M., & Butt, T. E. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7177638
Nugraha, A. T., Bakri, S., Purnomowati, R., Senjayani, A., Sari, R. A. P., Muhib, A., Prayitno, G., Nisak, F. F., & Jabir, A. (2026) · Multidisciplinary Reviews · doi:10.31893/multirev.2027090
Khare, A., & Beckman, T. (2026) · Sustainability · doi:10.3390/su181910218
Ride-hailing in sprawling cities of an emerging economy: desirable or not?
Dash, A. (2026) · Global Knowledge, Memory and Communication · doi:10.1108/gkmc-12-2024-0841
Metadata
- Authors
- Visvizi, A., & Lytras, M. D.
- Affiliations
- The American College of Greece (GR)
- Venue
- Journal of Science and Technology Policy Management
- Publisher
- Emerald
- Published
- 2018-05-30
- Volume
- 9
- Issue
- 2
- Pages
- 134-145
- ISSN
- 2053-4620 (ISSN-L)
- OpenAlex
- W2805837290
- Cited by
- 261
- References
- 46
- Citations by year
- 2026: 11 · 2025: 10 · 2024: 20 · 2023: 25 · 2022: 33 · 2021: 40 · 2020: 42 · 2019: 69 · 2018: 11
- FWCI
- 30.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Science and Technology Policy Management (publishedVersion)
- Topics
- Social Sciences › Urban Studies › Smart Cities and Technologies
- Social Sciences › Urban Studies › Urban Planning and Governance
- Social Sciences › Urban Studies › Sustainable Urban and Rural Development
- Keywords
- smart cities, normative bias, smart village, urban governance, policy making, research agenda, urban development strategy, rural-urban interdependence, scale of analysis, multidisciplinary research
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review