Methodology for Digital Transformation with Internet of Things and Cloud Computing: A Practical Guideline for Innovation in Small- and Medium-Sized Enterprises.

Internet of Things cloud computing digital transformation vertical plant wall

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
09 Aug 2021
Historique:
received: 26 07 2021
revised: 06 08 2021
accepted: 08 08 2021
entrez: 28 8 2021
pubmed: 29 8 2021
medline: 1 9 2021
Statut: epublish

Résumé

Researches on the Internet of Things (IoT) and cloud computing have been pervasive in both the academic and industrial world. IoT and cloud computing are seen as cornerstones to digital transformation in the industry. However, restricted by limited resources and the lack of expertise in information and communication technologies, small- and medium-sized enterprises (SMEs) have difficulty in achieving digitalization of their business. In this paper, we propose a reference framework for SMEs to follow as a guideline in the journey of digital transformation. The framework features a three-stage procedure that covers business, technology, and innovation, which can be iterated to drive product and business development. A case study about digital transformation taking place in the vertical plant wall industry is detailed. Furthermore, some solution design principles that are concluded from real industrial practice are presented. This paper reviews the digital transformation practice in the vertical plant wall industry and aims to accelerate the pace of SMEs in the journey of digital transformation.

Identifiants

pubmed: 34450797
pii: s21165355
doi: 10.3390/s21165355
pmc: PMC8399212
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Références

Clin Chem Lab Med. 2019 Feb 25;57(3):328-335
pubmed: 30530878

Auteurs

Yu Liu (Y)

Department of Science and Technology, Campus Norrköping, Linköping University, 60221 Norrköping, Sweden.

Zhongjun Ni (Z)

Department of Science and Technology, Campus Norrköping, Linköping University, 60221 Norrköping, Sweden.

Magnus Karlsson (M)

Department of Science and Technology, Campus Norrköping, Linköping University, 60221 Norrköping, Sweden.

Shaofang Gong (S)

Department of Science and Technology, Campus Norrköping, Linköping University, 60221 Norrköping, Sweden.

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Classifications MeSH