The DOI matches its Crossref record; 100 of the 100 references it cites were found in a registry or an index.
Internet of Things (IoT) adoption barriers of smart cities’ waste management: An Indian context
Open accessAbstract
Abstract The current study is a preliminary approach to develop a structural framework of the Internet of Things (IoT) adoption barriers that exist in the waste management systems of smart cities in developing economies such as India. To attain this aim, the present study uses hybrid Multi-criteria decision-making methods (MCDM) and has identified 15 adoption IoT Barriers (IoTBs) from literature review obstructing the IoT implementation in smart cities of India. The IoTBs are further analyzed through the Total Interpretative structural modeling (TISM) approach, the Fuzzy Matriced’Impacts Croises Multiplication Appliquean Classement (MICMAC) model, and the Decision Making Trial and Evaluation Laboratory (DEMATEL) method. The TISM approach is used to develop a structural framework of IoTBs in smart cities’ waste management (SCWM) projects. The literature shows that several bottlenecks exist. Such bottlenecks may include operational cost and payback; a lack of standardization, regulations, directions, and policy norms; incomplete technical knowledge among policymakers; internet connectivity, privacy, and security issues; or problems with mobility, transparency, and a lack of IT infrastructure; all of these issues influence IoT adoption in SCWM. The present work discloses that the lack of regulations, directions, and policy norms, and the lack of standardization and Internet connectivity are the most critical IoT barriers hindering the development of smart cities, particularly in their waste management practices. The Fuzzy-MICMAC approach is useful in calculating driving and dependence powers of the IoTBs, and the DEMATEL method helps reveal the influence/strength of IoTBs that affect SCWM. This study will help policymakers, stakeholders, and government to understand the significant IoTBs affecting waste management practices, and it will definitely assist them to undertake decisions for eradicating these barriers for a more efficient IoT implementation in SCWM projects.
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Cites
Internet of Things (IoT): A vision, architectural elements, and future directions
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013) · Future Generation Computer Systems · doi:10.1016/j.future.2013.01.010 · Cited by 12,293
Internet of Things for Smart Cities
Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014) · IEEE Internet of Things Journal · doi:10.1109/jiot.2014.2306328 · Cited by 6,292
Smart cities: Definitions, dimensions, performance, and initiatives
Albino, V., Berardi, U., & Dangelico, R. M. (2015) · Journal of Urban Technology · doi:10.1080/10630732.2014.942092 · Cited by 3,536
Caragliu, A., Del Bo, C., & Nijkamp, P. (2011) · Journal of Urban Technology · doi:10.1080/10630732.2011.601117 · Cited by 3,409
IoT security: Review, blockchain solutions, and open challenges
Khan, M. A., & Salah, K. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2017.11.022 · Cited by 2,488
Integration of Cloud computing and Internet of Things: A survey
Botta, A., de Donato, W., Persico, V., & Pescapé, A. (2016) · Future Generation Computer Systems · doi:10.1016/j.future.2015.09.021 · Cited by 2,388
Current trends in Smart City initiatives: Some stylised facts
Neirotti, P., De Marco, A., Cagliano, A. C., Mangano, G., & Scorrano, F. (2014) · Cities · doi:10.1016/j.cities.2013.12.010 · Cited by 2,322
The internet of things: a survey
Li, S., Xu, L. D., & Zhao, S. (2015) · Information Systems Frontiers · doi:10.1007/s10796-014-9492-7 · Cited by 2,297
On blockchain and its integration with IoT. Challenges and opportunities
Reyna, A., Martín, C., Chen, J., Soler, E., & Díaz, M. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.05.046 · Cited by 1,908
Cyber-physical systems in manufacturing
Monostori, L., Kádár, B., Bauernhansl, T., Kondoh, S., Kumara, S., Reinhart, G., Sauer, O., Schuh, G., Sihn, W., & Ueda, K. (2016) · CIRP Annals · doi:10.1016/j.cirp.2016.06.005 · Cited by 1,697
Cited by
Kurniawan, T. A., Dzarfan Othman, M. H., Hwang, G. H., & Gikas, P. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.131911 · Cited by 282
Kurniawan, T. A., Othman, M. H. D., Liang, X., Goh, H. H., Gikas, P., Kusworo, T. D., Anouzla, A., & Chew, K. W. (2023) · Journal of Environmental Management · doi:10.1016/j.jenvman.2023.117765 · Cited by 168
Hosseini Dehshiri, S. J., Mostafaeipour, A., & Amiri, M. (2024) · Journal of Environmental Management · doi:10.1016/j.jenvman.2024.122785 · Cited by 17
Metadata
- Authors
- Sharma, M., Joshi, S., Kannan, D., Govindan, K., Singh, R., & Purohit, H. C.
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 270
- Pages
- 122047
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W3032734598
- Cited by
- 284
- References
- 100
- FWCI
- 21.75
- Type
- journal article
- Language
- en
- Open access
- green
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- Sharma, M., Joshi, S., Kannan, D., Govindan, K., Singh, R., & Purohit, H. C. (2020). Internet of Things (IoT) adoption barriers of smart cities’ waste management: An Indian context. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2020.122047
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