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Using AI to Decrease Demand and Supply Mismatch in ITC Labour Market

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Using AI to Decrease Demand and Supply Mismatch in ITC Labour Market. / Okkonen, Jussi; Ketamo, Harri; Lindsten, Hanna; Rauhala, Teemu; Viteli, Jarmo.

Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences: Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences, July 16-20, 2020, USA. ed. / Salman Nazir; Tareq Ahram; Waldemar Karwowski. Springer, 2020. p. 310-316 (Advances in Intelligent Systems and Computing; Vol. 1211 AISC).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Okkonen, J, Ketamo, H, Lindsten, H, Rauhala, T & Viteli, J 2020, Using AI to Decrease Demand and Supply Mismatch in ITC Labour Market. in S Nazir, T Ahram & W Karwowski (eds), Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences: Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences, July 16-20, 2020, USA. Advances in Intelligent Systems and Computing, vol. 1211 AISC, Springer, pp. 310-316, International Conference on Applied Human Factors and Ergonomics, 1/01/00. https://doi.org/10.1007/978-3-030-50896-8_44

APA

Okkonen, J., Ketamo, H., Lindsten, H., Rauhala, T., & Viteli, J. (2020). Using AI to Decrease Demand and Supply Mismatch in ITC Labour Market. In S. Nazir, T. Ahram, & W. Karwowski (Eds.), Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences: Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences, July 16-20, 2020, USA (pp. 310-316). (Advances in Intelligent Systems and Computing; Vol. 1211 AISC). Springer. https://doi.org/10.1007/978-3-030-50896-8_44

Vancouver

Okkonen J, Ketamo H, Lindsten H, Rauhala T, Viteli J. Using AI to Decrease Demand and Supply Mismatch in ITC Labour Market. In Nazir S, Ahram T, Karwowski W, editors, Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences: Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences, July 16-20, 2020, USA. Springer. 2020. p. 310-316. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-50896-8_44

Author

Okkonen, Jussi ; Ketamo, Harri ; Lindsten, Hanna ; Rauhala, Teemu ; Viteli, Jarmo. / Using AI to Decrease Demand and Supply Mismatch in ITC Labour Market. Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences: Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences, July 16-20, 2020, USA. editor / Salman Nazir ; Tareq Ahram ; Waldemar Karwowski. Springer, 2020. pp. 310-316 (Advances in Intelligent Systems and Computing).

Bibtex - Download

@inproceedings{357f077d5af74325963a3ed57fa7ee99,
title = "Using AI to Decrease Demand and Supply Mismatch in ITC Labour Market",
abstract = "In information technology and communication (ITC) industry the technology advances are unexpected and moving mysterious ways causing significant mismatch between demand and supply in labour market. To some extent the mismatch is due to emergence of new technologies replacing the old ones. On the other hand, it is also due to lack of capability and capacity of educational system to provide up to date and spot on graduates. There are several attempts to bridge the gap between supply and demand, yet both public and private sector had at least partially failed in the task. This paper presents a novel AI driven modus operandi that provides students or persons already in labour market a way to match one’s competencies against existing or future competency requirements, and thus being valid employee or applicant. On the other hand, the service discussed in the paper is also tool for giving input for forecasting future labour needs. And the third, the service also serves as mid- and long-range planning apparatus for education provider when making decisions on what academic modules best serve the needs of society and individuals. The paper presents the concept of technology and functionalities as well as roadmap for developing and implementing the service. The presented concept is heuristically proofed in expert evaluation. Moreover, the heart of the service has been technically and functionally tested in several cases. At the conclusion the paper presents model for matching system for labour competency development. The issues related to implementation and the next steps are also discussed.",
keywords = "Competency development, Digital Twins, Labour market mismatch, Natural language",
author = "Jussi Okkonen and Harri Ketamo and Hanna Lindsten and Teemu Rauhala and Jarmo Viteli",
note = "DUPL=55180510 JUFOID=75019 EXT={"}Ketamo, Harri{"}",
year = "2020",
doi = "10.1007/978-3-030-50896-8_44",
language = "English",
isbn = "9783030508951",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "310--316",
editor = "Salman Nazir and Tareq Ahram and Waldemar Karwowski",
booktitle = "Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Using AI to Decrease Demand and Supply Mismatch in ITC Labour Market

AU - Okkonen, Jussi

AU - Ketamo, Harri

AU - Lindsten, Hanna

AU - Rauhala, Teemu

AU - Viteli, Jarmo

N1 - DUPL=55180510 JUFOID=75019 EXT="Ketamo, Harri"

PY - 2020

Y1 - 2020

N2 - In information technology and communication (ITC) industry the technology advances are unexpected and moving mysterious ways causing significant mismatch between demand and supply in labour market. To some extent the mismatch is due to emergence of new technologies replacing the old ones. On the other hand, it is also due to lack of capability and capacity of educational system to provide up to date and spot on graduates. There are several attempts to bridge the gap between supply and demand, yet both public and private sector had at least partially failed in the task. This paper presents a novel AI driven modus operandi that provides students or persons already in labour market a way to match one’s competencies against existing or future competency requirements, and thus being valid employee or applicant. On the other hand, the service discussed in the paper is also tool for giving input for forecasting future labour needs. And the third, the service also serves as mid- and long-range planning apparatus for education provider when making decisions on what academic modules best serve the needs of society and individuals. The paper presents the concept of technology and functionalities as well as roadmap for developing and implementing the service. The presented concept is heuristically proofed in expert evaluation. Moreover, the heart of the service has been technically and functionally tested in several cases. At the conclusion the paper presents model for matching system for labour competency development. The issues related to implementation and the next steps are also discussed.

AB - In information technology and communication (ITC) industry the technology advances are unexpected and moving mysterious ways causing significant mismatch between demand and supply in labour market. To some extent the mismatch is due to emergence of new technologies replacing the old ones. On the other hand, it is also due to lack of capability and capacity of educational system to provide up to date and spot on graduates. There are several attempts to bridge the gap between supply and demand, yet both public and private sector had at least partially failed in the task. This paper presents a novel AI driven modus operandi that provides students or persons already in labour market a way to match one’s competencies against existing or future competency requirements, and thus being valid employee or applicant. On the other hand, the service discussed in the paper is also tool for giving input for forecasting future labour needs. And the third, the service also serves as mid- and long-range planning apparatus for education provider when making decisions on what academic modules best serve the needs of society and individuals. The paper presents the concept of technology and functionalities as well as roadmap for developing and implementing the service. The presented concept is heuristically proofed in expert evaluation. Moreover, the heart of the service has been technically and functionally tested in several cases. At the conclusion the paper presents model for matching system for labour competency development. The issues related to implementation and the next steps are also discussed.

KW - Competency development

KW - Digital Twins

KW - Labour market mismatch

KW - Natural language

U2 - 10.1007/978-3-030-50896-8_44

DO - 10.1007/978-3-030-50896-8_44

M3 - Conference contribution

SN - 9783030508951

T3 - Advances in Intelligent Systems and Computing

SP - 310

EP - 316

BT - Advances in Human Factors in Training, Education, and Learning Sciences - Proceedings of the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences

A2 - Nazir, Salman

A2 - Ahram, Tareq

A2 - Karwowski, Waldemar

PB - Springer

ER -