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Integration of smart city technology and business model innovation

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journal contribution
posted on 2024-10-18, 13:01 authored by Zhen Liu, Yixin Liu, Mohamed OsmaniMohamed Osmani
At present, the progress of business model stages supported by a variety of technology categories may unclear, and the integration of technology application and business model innovation (BMI) is hard due to operational practices in various industries and research areas, which block the view of the integration of smart city technology (SCT) and BMI for further development. Thus, this paper aims to explore the current research on the integration of SCT and BMI and identify the current research status and hotspots, assisting in indicating the status of these technologies in the business model stages in order to determine future trends, and adopts a mixed research methodology including a macro-quantitative method based on bibliometrics and a micro-qualitative method using content analysis. The results reveal a 17-year (2007 to 2023) integration of SCT and BMI enhanced by cloud computing, big data, Internet of Things, and artificial intelligence in recent years, with the most current studies focusing on the ideation and design stages of the business model stages with an emphasis on using digital capabilities to refine, formulate, and design the corresponding business model while defining the strategy through internal and external factors. Interestingly, Industry 4.0 and digital servitization are currently the key trends.<p></p>

History

School

  • Architecture, Building and Civil Engineering

Published in

Sustainability

Volume

16

Issue

12

Article number

5102

Publisher

MDPI

Version

  • VoR (Version of Record)

Rights holder

© The authors

Publisher statement

This article is an Open Access article published by MDPI and distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Acceptance date

2024-06-12

Publication date

2024-06-15

Copyright date

2024

eISSN

2071-1050

Language

  • en

Depositor

Prof Mohamed Osmani. Deposit date: 18 June 2024

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