IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i6p626-d517654.html
   My bibliography  Save this article

Using Artificial Neural Networks in Predicting the Level of Stress among Military Conscripts

Author

Listed:
  • Svajone Bekesiene

    (General Jonas Zemaitis Military Academy of Lithuania, Silo 5a, 10322 Vilnius, Lithuania)

  • Rasa Smaliukiene

    (General Jonas Zemaitis Military Academy of Lithuania, Silo 5a, 10322 Vilnius, Lithuania)

  • Ramute Vaicaitiene

    (General Jonas Zemaitis Military Academy of Lithuania, Silo 5a, 10322 Vilnius, Lithuania)

Abstract

The present study aims to elucidate the main variables that increase the level of stress at the beginning of military conscription service using an artificial neural network (ANN)-based prediction model. Random sample data were obtained from one battalion of the Lithuanian Armed Forces, and a survey was conducted to generate data for the training and testing of the ANN models. Using nonlinearity in stress research, numerous ANN structures were constructed and verified to limit the optimal number of neurons, hidden layers, and transfer functions. The highest accuracy was obtained by the multilayer perceptron neural network (MLPNN) with a 6-2-2 partition. A standardized rescaling method was used for covariates. For the activation function, the hyperbolic tangent was used with 20 units in one hidden layer as well as the back-propagation algorithm. The best ANN model was determined as the model that showed the smallest cross-entropy error, the correct classification rate, and the area under the ROC curve. These findings show, with high precision, that cohesion in a team and adaptation to military routines are two critical elements that have the greatest impact on the stress level of conscripts.

Suggested Citation

  • Svajone Bekesiene & Rasa Smaliukiene & Ramute Vaicaitiene, 2021. "Using Artificial Neural Networks in Predicting the Level of Stress among Military Conscripts," Mathematics, MDPI, vol. 9(6), pages 1-23, March.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:6:p:626-:d:517654
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/6/626/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/9/6/626/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Song, Qingbin & Li, Jinhui & Duan, Huabo & Yu, Danfeng & Wang, Zhishi, 2017. "Towards to sustainable energy-efficient city: A case study of Macau," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 504-514.
    2. Sea-Jin Chang & Arjen van Witteloostuijn & Lorraine Eden, 2010. "From the Editors: Common method variance in international business research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 41(2), pages 178-184, February.
    3. Rasa Smaliukiene & Svajone Bekesiene, 2020. "Towards Sustainable Human Resources: How Generational Differences Impact Subjective Wellbeing in the Military?," Sustainability, MDPI, vol. 12(23), pages 1-21, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. José Javier Galán & Ramón Alberto Carrasco & Antonio LaTorre, 2022. "Military Applications of Machine Learning: A Bibliometric Perspective," Mathematics, MDPI, vol. 10(9), pages 1-27, April.
    2. Juliana Mio de Souza & Paulo Morgado & Eduarda Marques da Costa & Luiz Fernando de Novaes Vianna, 2022. "Modeling of Land Use and Land Cover (LULC) Change Based on Artificial Neural Networks for the Chapecó River Ecological Corridor, Santa Catarina/Brazil," Sustainability, MDPI, vol. 14(7), pages 1-23, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Newburry, William & Gardberg, Naomi A. & Sanchez, Juan I., 2014. "Employer Attractiveness in Latin America: The Association Among Foreignness, Internationalization and Talent Recruitment," Journal of International Management, Elsevier, vol. 20(3), pages 327-344.
    2. Jean–Luc Arregle & Bat Batjargal & Michael A. Hitt & Justin W. Webb & Toyah Miller & Anne S. Tsui, 2015. "Family Ties in Entrepreneurs’ Social Networks and New Venture Growth," Entrepreneurship Theory and Practice, , vol. 39(2), pages 313-344, March.
    3. Ahammad, Mohammad Faisal & Tarba, Shlomo Yedidia & Liu, Yipeng & Glaister, Keith W., 2016. "Knowledge transfer and cross-border acquisition performance: The impact of cultural distance and employee retention," International Business Review, Elsevier, vol. 25(1), pages 66-75.
    4. Behrooz Gharleghi & Asghar Afshar Jahanshahi & Khaled Nawaser, 2018. "The Outcomes of Corporate Social Responsibility to Employees: Empirical Evidence from a Developing Country," Sustainability, MDPI, vol. 10(3), pages 1-15, March.
    5. Yi-Ju Lo & Tung Hung, 2015. "Structure offshoring and returns on offshoring," Asia Pacific Journal of Management, Springer, vol. 32(2), pages 443-479, June.
    6. Jörn H. Block & Christian O. Fisch & James Lau & Martin Obschonka & André Presse, 2019. "How Do Labor Market Institutions Influence the Preference to Work in Family Firms? A Multilevel Analysis Across 40 Countries," Entrepreneurship Theory and Practice, , vol. 43(6), pages 1067-1093, November.
    7. Kawai, Norifumi & Chung, Chul, 2019. "Expatriate utilization, subsidiary knowledge creation and performance: The moderating role of subsidiary strategic context," Journal of World Business, Elsevier, vol. 54(1), pages 24-36.
    8. Tony Edwards & Paul Marginson & Anthony Ferner, 2013. "Multinational Companies in Cross-National Context: Integration, Differentiation, and the Interactions between MNCS and Nation States," ILR Review, Cornell University, ILR School, vol. 66(3), pages 547-587, May.
    9. Estefanía Palazuelos & Ángel Herrero Crespo & Javier Montoya Corte, 2018. "Accounting information quality and trust as determinants of credit granting to SMEs: the role of external audit," Small Business Economics, Springer, vol. 51(4), pages 861-877, December.
    10. Liu, Yulong & Yu, Yang, 2018. "Institutions, firm resources and the foreign establishment mode choices of Chinese firms: The moderating role of home regional institutional development," Journal of Business Research, Elsevier, vol. 93(C), pages 111-121.
    11. Hung-Ming Tu, 2020. "Sustainable Heritage Management: Exploring Dimensions of Pull and Push Factors," Sustainability, MDPI, vol. 12(19), pages 1-17, October.
    12. Anna Borawska & Mariusz Borawski & Małgorzata Łatuszyńska, 2022. "Effectiveness of Electricity-Saving Communication Campaigns: Neurophysiological Approach," Energies, MDPI, vol. 15(4), pages 1-19, February.
    13. Saba Khalid & Jorma Larimo, 2012. "Firm Specific Advantage in Developed Markets Dynamic Capability Perspective," Management International Review, Springer, vol. 52(2), pages 233-250, April.
    14. Cäker, Mikael & Siverbo, Sven, 2018. "Effects of performance measurement system inconsistency on managers’ role clarity and well-being," Scandinavian Journal of Management, Elsevier, vol. 34(3), pages 256-266.
    15. Petrou, Andreas P. & Hadjielias, Elias & Thanos, Ioannis C. & Dimitratos, Pavlos, 2020. "Strategic decision-making processes, international environmental munificence and the accelerated internationalization of SMEs," International Business Review, Elsevier, vol. 29(5).
    16. Sam Njinyah & Simplice A. Asongu & Sally Jones, 2022. "The role of mobile money adoption in moderating the influence of access to finance in firm performance," Working Papers of the African Governance and Development Institute. 22/075, African Governance and Development Institute..
    17. Kalinic, Igor & Brouthers, Keith D., 2022. "Entrepreneurial orientation, export channel selection, and export performance of SMEs," International Business Review, Elsevier, vol. 31(1).
    18. López-Sáez, Pedro & Cruz-González, Jorge & Navas-López, Jose Emilio & Perona-Alfageme, María del Mar, 2021. "Organizational integration mechanisms and knowledge transfer effectiveness in MNCs: The moderating role of cross-national distance," Journal of International Management, Elsevier, vol. 27(4).
    19. Lazarova, Mila & Peretz, Hilla & Fried, Yitzhak, 2017. "Locals know best? Subsidiary HR autonomy and subsidiary performance," Journal of World Business, Elsevier, vol. 52(1), pages 83-96.
    20. Lise A. Oortmerssen & Marjolein C. J. Caniëls & Marcel F. Assen, 2020. "Coping with Work Stressors and Paving the Way for Flow: Challenge and Hindrance Demands, Humor, and Cynicism," Journal of Happiness Studies, Springer, vol. 21(6), pages 2257-2277, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:9:y:2021:i:6:p:626-:d:517654. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.