The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.
Internet of Things and Big Data as enablers for business digitalization strategies
Open accessAbstract
Digitization blurs the lines between technology and management, facilitating new business models built upon the concepts, methods and tools of the digital environment. The purpose of this study is to investigate the role of the Internet of Things (IoT) and Big Data in terms of how businesses manage their digital transformation. The paper argues that the outbreak of IoT and Big Data has resulted in a mass of disorganized knowledge. In order to make sense of the noise, a literature review was carried out to examine the studies, published in the last decade (2008–2019), that analyzed both the Internet of Things and Big Data. The results show that IoT and Big Data are predominantly reengineering factors for business processes, products and services; however, a lack of widespread knowledge and adoption has led research to evolve into multiple, yet inconsistent paths. The study offers interesting implications for managers and marketers, highlighting how the digital transformation enabled by IoT and Big Data can positively impact many facets of business. By treating IoT and Big Data as faces of the same coin, this study also sheds light on current challenges and opportunities, with the hope of informing future research and practice.
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Cites
Tranfield, D., Denyer, D., & Smart, P. (2003) · British Journal of Management · doi:10.1111/1467-8551.00375 · Cited by 15,386
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
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., et al. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.08.002 · Cited by 4,611 · cited 2×
“These opportunities widen further when considering the explosion of data generated by emerging technologies, such as Artificial Intelligence (Dwivedi et al., 2019).”
BackgroundBeyond the hype: Big data concepts, methods, and analytics
Gandomi, A., & Haider, M. (2015) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2014.10.007 · Cited by 4,226
Internet of things: Vision, applications and research challenges
Miorandi, D., Sicari, S., De Pellegrini, F., & Chlamtac, I. (2012) · Ad Hoc Networks · doi:10.1016/j.adhoc.2012.02.016 · Cited by 3,578
Big Data : The Management Revolution
マカフィー, ア., ブリニョルフソン, エ., & 有賀, 裕. (2013) · Harvard business review · Cited by 3,545
Industry 4.0 technologies: Implementation patterns in manufacturing companies
Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019) · International Journal of Production Economics · doi:10.1016/j.ijpe.2019.01.004 · Cited by 2,958
From Multi-Channel Retailing to Omni-Channel Retailing
Verhoef, P. C., Kannan, P. K., & Inman, J. J. (2015) · Journal of Retailing · doi:10.1016/j.jretai.2015.02.005 · Cited by 2,579
Industrial Internet of Things: Challenges, Opportunities, and Directions
Sisinni, E., Saifullah, A., Han, S., Jennehag, U., & Gidlund, M. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2852491 · Cited by 2,380
Internet of Things (IoT): A Literature Review
Madakam, S., Ramaswamy, R., & Tripathi, S. (2015) · Journal of Computer and Communications · doi:10.4236/jcc.2015.35021 · Cited by 2,066
Cited by
Digital innovation and performance of manufacturing firms: An affordance perspective
Liu, Y., Dong, J., Mei, L., & Shen, R. (2023) · Technovation · doi:10.1016/j.technovation.2022.102458 · Cited by 363
A review of industrial big data for decision making in intelligent manufacturing
Li, C., Chen, Y., & Shang, Y. (2022) · Engineering Science and Technology, an International Journal · doi:10.1016/j.jestch.2021.06.001 · Cited by 325
de Cosmo, L. M., Piper, L., & Di Vittorio, A. (2021) · Italian Journal of Marketing · doi:10.1007/s43039-021-00020-1 · Cited by 82
Self-citationPereira, C. S., Veloso, B., Durão, N., & Moreira, F. (2022) · Procedia Computer Science · doi:10.1016/j.procs.2021.11.071 · Cited by 46
The Impact of Corporate Digital Transformation on Sustainable Development in China
Chen, W., Ren, H., & Shu, Y. (2025) · Business Strategy and the Environment · doi:10.1002/bse.4120 · Cited by 36
Metadata
- Authors
- Sestino, A., Prete, M. I., Piper, L., & Guido, G.
- Venue
- Technovation
- Publisher
- Elsevier BV
- Published
- 2020-12
- Volume
- 98
- Pages
- 102173
- ISSN
- 0166-4972 (ISSN-L)
- OpenAlex
- W3048865944
- Cited by
- 559
- References
- 99
- FWCI
- 66.28
- Type
- journal article
- Language
- en
- Open access
- green
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- Sestino, A., Prete, M. I., Piper, L., & Guido, G. (2020). Internet of Things and Big Data as enablers for business digitalization strategies. Technovation. https://doi.org/10.1016/j.technovation.2020.102173
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
