Training professional smart city workforces through a partnership with technology firms

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Date

2022

Authors

Tuncay Ercan
Mahir Kutay

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Open Access Color

Green Open Access

No

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Publicly Funded

No
Impulse
Average
Influence
Average
Popularity
Top 10%

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Journal Issue

Abstract

Smart cities need professionals who are well trained in basic technologies. However the existing workforce in the cities is unable to meet this new and complex job demand due to the ever-evolving and diverse technological changes. Professionals trained in high technology are few in number and demand high wages. As a result the need for a workforce is increasing and it becomes a necessity to train the existing workforce to adapt to high-quality jobs. It is necessary to change the training programs in technical schools and universities to train a highly qualified workforce but the results of this can be seen in a long period. Naturally to achieve an effective result in a short time existing technology employees should be educated on the needed subjects and adapt to new technologies. New graduates trained with old education programs should also be included in these programs. Resources available for education are universities technical schools professional organizations and companies that produce technology. Due to their official programs and institutional nature the adaptation of the first three sources to the new conditions will take a longer time. Today technology-producing companies are more advanced in technology than most educational institutions. Therefore in the training of the current workforce technology companies are an important alternative that the state or private institutions can offer to get fast results and to train a sufficient number of qualified workforce together with both the main mechanism of the master–apprentice approach for the company and the cooperation between companies working in the same sector. © 2022 Elsevier B.V. All rights reserved.

Description

Keywords

In-service Training, Labor Transition, Master–apprentice Approach, Qualified Workforce, Smart City, Smart Government, Smart Growth, Sustainable City, Urbanization, Labor Transition, Smart Government, Smart Growth, Master–Apprentice Approach, Sustainable City, Qualified Workforce, Urbanization, In-Service Training, Smart City

Fields of Science

Citation

WoS Q

Scopus Q

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OpenCitations Citation Count
3

Source

Smart Cities Policies and Financing: Approaches and Solutions

Volume

Issue

Start Page

181

End Page

196
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Scopus : 7

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Mendeley Readers : 40

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