Using AI to Decrease Demand and Supply Mismatch in ITC Labour Market
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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. toim. / Salman Nazir; Tareq Ahram; Waldemar Karwowski. Springer, 2020. s. 310-316 (Advances in Intelligent Systems and Computing; Vuosikerta 1211 AISC).
Tutkimustuotos › › vertaisarvioitu
Harvard
Okkonen, J, Ketamo, H
, Lindsten, H, Rauhala, T & Viteli, J 2020,
Using AI to Decrease Demand and Supply Mismatch in ITC Labour Market. julkaisussa S Nazir, T Ahram & W Karwowski (toim),
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, Vuosikerta. 1211 AISC, Springer, Sivut 310-316, International Conference on Applied Human Factors and Ergonomics,
1/01/00.
https://doi.org/10.1007/978-3-030-50896-8_44APA
Okkonen, J., Ketamo, H.
, Lindsten, H., Rauhala, T., & Viteli, J. (2020).
Using AI to Decrease Demand and Supply Mismatch in ITC Labour Market. teoksessa S. Nazir, T. Ahram, & W. Karwowski (Toimittajat),
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 (Sivut 310-316). (Advances in Intelligent Systems and Computing; Vuosikerta 1211 AISC). Springer.
https://doi.org/10.1007/978-3-030-50896-8_44Vancouver
Okkonen J, Ketamo H
, Lindsten H, Rauhala T, Viteli J.
Using AI to Decrease Demand and Supply Mismatch in ITC Labour Market. julkaisussa Nazir S, Ahram T, Karwowski W, toimittajat, 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. s. 310-316. (Advances in Intelligent Systems and Computing).
https://doi.org/10.1007/978-3-030-50896-8_44Author
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. Toimittaja / Salman Nazir ; Tareq Ahram ; Waldemar Karwowski. Springer, 2020. Sivut 310-316 (Advances in Intelligent Systems and Computing).
@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",
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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) - Lataa
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 -
