IDEAS home Printed from https://ideas.repec.org/a/gam/jadmsc/v14y2024i12p317-d1531966.html
   My bibliography  Save this article

The Effect of Collaborative Learning Service Quality on the Innovative Work Behavior of High-Tech Engineers

Author

Listed:
  • Sunghee Lee

    (Seoul Business School, aSSIST University, Seoul 03767, Republic of Korea)

  • Boyoung Kim

    (Seoul Business School, aSSIST University, Seoul 03767, Republic of Korea)

Abstract

Corporations are increasingly looking beyond inter-company collaborations to multidimensional collaborative activities between departments and organizational members within the company to strengthen innovative market competitiveness. High-tech corporations, specifically, are adopting collaborative learning approaches to promote work capability among engineers from the perspective of developing new technologies and increasing productivity. This study aimed to empirically verify the effect of the service quality of collaborative learning programs on the innovative work behavior of engineers in high-tech companies. Job autonomy, self-efficacy, and learning transfer were set as mediating variables and their effects on innovative work behavior were analyzed. The sample comprised 298 high-tech engineers in South Korea. Collaborative learning service quality was found to have a direct positive effect on job autonomy, self-efficacy, and learning transfer. However, job autonomy and self-efficacy did not influence innovative work behavior through learning transfer. On the other hand, collaborative learning quality had a positive effect on innovative work behavior through learning transfer. Thus, improving the service quality of collaborative learning programs in high-tech corporations can enhance learning transfer within the organization, leading to innovative business outcomes. Moreover, to maximize the effectiveness of collaborative learning, the service quality of learning programs can be improved by prioritizing learning transfer rather than job autonomy or self-efficacy.

Suggested Citation

  • Sunghee Lee & Boyoung Kim, 2024. "The Effect of Collaborative Learning Service Quality on the Innovative Work Behavior of High-Tech Engineers," Administrative Sciences, MDPI, vol. 14(12), pages 1-22, November.
  • Handle: RePEc:gam:jadmsc:v:14:y:2024:i:12:p:317-:d:1531966
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2076-3387/14/12/317/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2076-3387/14/12/317/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abubakar Tabiu & Faizuniah Pangil & Siti Zubaidah Othman, 2020. "Does Training, Job Autonomy and Career Planning Predict Employees’ Adaptive Performance?," Global Business Review, International Management Institute, vol. 21(3), pages 713-724, June.
    2. Wang, Rong & Tan, Junlan, 2021. "Exploring the coupling and forecasting of financial development, technological innovation, and economic growth," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    3. Volery, Thierry & Tarabashkina, Liudmila, 2021. "The impact of organisational support, employee creativity and work centrality on innovative work behaviour," Journal of Business Research, Elsevier, vol. 129(C), pages 295-303.
    Full references (including those not matched with items on IDEAS)

    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. Yang, Kexin & Zhang, Qi & Liu, Qiqi & Liu, Jiangfeng & Jiao, Jie, 2024. "Effect mechanism and efficiency evaluation of financial support on technological innovation in the new energy vehicles’ industrial chain," Energy, Elsevier, vol. 293(C).
    2. Ning Zhang & Jinhua Sun & Yu Tang & Jianqun Zhang & Valentina Boamah & Decai Tang & Xiaoxue Zhang, 2023. "How Do Green Finance and Green Technology Innovation Impact the Yangtze River Economic Belt’s Industrial Structure Upgrading in China? A Moderated Mediation Effect Model Based on Provincial Panel Data," Sustainability, MDPI, vol. 15(3), pages 1-22, January.
    3. Wang, Liping, 2022. "Research on the impact of energy price fluctuations on regional economic development based on panel data model," Resources Policy, Elsevier, vol. 75(C).
    4. Wei Wei & Chenggong Jin & Ying Han & Zhenhui Huang & Tong Niu & Jinkai Li, 2022. "The Coordinated Development and Regulation Research on Public Health, Ecological Environment and Economic Development: Evidence from the Yellow River Basin of China," IJERPH, MDPI, vol. 19(11), pages 1-23, June.
    5. Jetmir Zyberaj & Sebastian Seibel & Annika F. Schowalter & Lennart Pötz & Stefanie Richter-Killenberg & Judith Volmer, 2022. "Developing Sustainable Careers during a Pandemic: The Role of Psychological Capital and Career Adaptability," Sustainability, MDPI, vol. 14(5), pages 1-17, March.
    6. Tong Zhao & Haihua Zhou & Jinde Jiang & Wenyan Yan, 2022. "Impact of Green Finance and Environmental Regulations on the Green Innovation Efficiency in China," Sustainability, MDPI, vol. 14(6), pages 1-17, March.
    7. Cao, Jianhong & Law, Siong Hook & Samad, Abdul Rahim Abdul & Mohamad, Wan Norhidayah W., 2023. "Internal mechanism analysis of the financial vanishing effect on green growth: Evidence from China," Energy Economics, Elsevier, vol. 120(C).
    8. Yang, Yuxue & Su, Xiang & Yao, Shuangliang, 2021. "Nexus between green finance, fintech, and high-quality economic development: Empirical evidence from China," Resources Policy, Elsevier, vol. 74(C).
    9. Yiding Wu & Jingfei Song, 2024. "Impact of New Energy Industry Agglomeration on Green Innovation Efficiency—Based on the Regulative Effect of Green Finance," Sustainability, MDPI, vol. 16(8), pages 1-19, April.
    10. Ding, Wangwang & Du, Juntao & Kazancoglu, Yigit & Mangla, Sachin Kumar & Song, Malin, 2023. "Financial development and the energy net-zero transformation potential," Energy Economics, Elsevier, vol. 125(C).
    11. Suha Mahmoud Alawi & Wajih Abbassi & Rukhma Saqib & Madeeha Sharif, 2022. "Impact of Financial Innovation and Institutional Quality on Financial Development in Emerging Markets," JRFM, MDPI, vol. 15(3), pages 1-11, March.
    12. Chen, Fuyong & Zeng, Xiao & Guo, Xiang, 2024. "Green finance, climate change, and green innovation: Evidence from China," Finance Research Letters, Elsevier, vol. 63(C).
    13. Wan, Siyu & Lee, Yoong Hon & Sarma, Vengadeshvaran J., 2023. "Is Fintech good for green finance? Empirical evidence from listed banks in China," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1273-1291.
    14. Mo Wang & Furong Chen & Dongqing Zhang & Qiuyi Rao & Jianjun Li & Soon Keat Tan, 2022. "Supply–Demand Evaluation of Green Stormwater Infrastructure (GSI) Based on the Model of Coupling Coordination," IJERPH, MDPI, vol. 19(22), pages 1-17, November.
    15. Lindong Ma & Yuanxiao Hong & Xihui Chen, 2022. "Can Green Economy and Ecological Welfare Achieve Synergistic Development? The Perspective of the “Two Mountains” Theory," IJERPH, MDPI, vol. 19(11), pages 1-24, May.
    16. Yin, Xiuling & Xu, Zhaoran, 2022. "An empirical analysis of the coupling and coordinative development of China's green finance and economic growth," Resources Policy, Elsevier, vol. 75(C).
    17. Shin, Duckjung & Woodwark, Meredith J. & Konrad, Alison M. & Jung, Yongsuhk, 2022. "Innovation strategy, voice practices, employee voice participation, and organizational innovation," Journal of Business Research, Elsevier, vol. 147(C), pages 392-402.
    18. Muriel Davies & Michel Moulinet & Stéphanie Buisine, 2023. "Innovation culture in French organisations," Post-Print hal-04085432, HAL.
    19. Alessandra Falco & Damiano Girardi & Achim Elfering & Tanja Peric & Isabella Pividori & Laura Dal Corso, 2023. "Is Smart Working Beneficial for Workers’ Wellbeing? A Longitudinal Investigation of Smart Working, Workload, and Hair Cortisol/Dehydroepiandrosterone Sulfate during the COVID-19 Pandemic," IJERPH, MDPI, vol. 20(13), pages 1-23, June.
    20. Xiaoping Chen & Hongming Xie & Huanhuai Zhou, 2024. "Incremental versus Radical Innovation and Sustainable Competitive Advantage: A Moderated Mediation Model," Sustainability, MDPI, vol. 16(11), pages 1-18, May.

    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:jadmsc:v:14:y:2024:i:12:p:317-:d:1531966. 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.