IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v13y2023i4p21582440231212256.html
   My bibliography  Save this article

Research on FinTech Talent Evaluation Index System and Recruitment Strategy: Evidence From Shanghai in China

Author

Listed:
  • Xue Ding
  • Mengling Qin
  • Linsen Yin
  • Dayong Lv
  • Yao Bai

Abstract

In recent years, the development and iteration of information technology have prompted the financial industry to transform and upgrade to financial technology (FinTech), which has received emerging attention from the global financial industry. While the FinTech industry is growing rapidly around the world, however, few studies have foucusd on the shortage of talent and difficulties in recruiting talent. First, this paper clarifies the shortage of FinTech talent through expert interviews and a questionnaire survey of 112 financial industry enterprises in Shanghai, China. Following, based on role theory, we construct a talent capability evaluation index system using 5 primary and 17 secondary indicators. Based on the exploration above, a gray optimization model is designed to support talent recruitment strategy for FinTech enterprises. The results indicate that Chinese FinTech talent should have composite abilities with outstanding professional technical skills and learning abilities, innovation and teamwork ability, project experience, and international vision. This study provides methodological guidelines for global FinTech talent evaluation and recruitment strategies and broadens the application of role theory and gray clustering theory.

Suggested Citation

  • Xue Ding & Mengling Qin & Linsen Yin & Dayong Lv & Yao Bai, 2023. "Research on FinTech Talent Evaluation Index System and Recruitment Strategy: Evidence From Shanghai in China," SAGE Open, , vol. 13(4), pages 21582440231, November.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:4:p:21582440231212256
    DOI: 10.1177/21582440231212256
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440231212256
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440231212256?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Amankwah-Amoah, Joseph & Khan, Zaheer & Wood, Geoffrey & Knight, Gary, 2021. "COVID-19 and digitalization: The great acceleration," Journal of Business Research, Elsevier, vol. 136(C), pages 602-611.
    2. Fionn Murtagh & Pierre Legendre, 2014. "Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion?," Journal of Classification, Springer;The Classification Society, vol. 31(3), pages 274-295, October.
    3. Awasthi, Anjali & Govindan, Kannan & Gold, Stefan, 2018. "Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach," International Journal of Production Economics, Elsevier, vol. 195(C), pages 106-117.
    4. Ernest H. Forman & Saul I. Gass, 2001. "The Analytic Hierarchy Process---An Exposition," Operations Research, INFORMS, vol. 49(4), pages 469-486, August.
    5. Papadopoulos, Thanos & Baltas, Konstantinos N. & Balta, Maria Elisavet, 2020. "The use of digital technologies by small and medium enterprises during COVID-19: Implications for theory and practice," International Journal of Information Management, Elsevier, vol. 55(C).
    6. Zhenxing Gong & Jie Yang & Faheem Gul Gilal & Lyn M. Van Swol & Kui Yin, 2020. "Repairing Police Psychological Safety: The Role of Career Adaptability, Feedback Environment, and Goal-Self Concordance Based on the Conservation of Resources Theory," SAGE Open, , vol. 10(2), pages 21582440209, May.
    7. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    8. Kowalski, Michał & Lee, Zach W.Y. & Chan, Tommy K.H., 2021. "Blockchain technology and trust relationships in trade finance," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    9. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    10. Damla Ürer Erdil & Mustafa Tümer & Halil Nadiri & Iman Aghaei, 2021. "Prioritizing Information Sources and Requirements in Students’ Choice of Higher Education Destination: Using AHP Analysis," SAGE Open, , vol. 11(2), pages 21582440211, May.
    11. Sara Kanwal & Waliha Naveed & Farman Afzal, 2022. "Joint Effect of In-Role Behavior and Task-Interdependence on Job Burnout Among Early Career Healthcare Professionals," SAGE Open, , vol. 12(2), pages 21582440221, April.
    12. Ishtiaq Ahmad Bajwa & Shafiq Ur Rehman & Abid Iqbal & Zaheer Anwer & Murtaza Ashiq & Muhammad Ajmal Khan, 2022. "Past, Present and Future of FinTech Research: A Bibliometric Analysis," SAGE Open, , vol. 12(4), pages 21582440221, October.
    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. Chin-Yi Chen & Jih-Jeng Huang, 2023. "Integrating Dynamic Bayesian Networks and Analytic Hierarchy Process for Time-Dependent Multi-Criteria Decision-Making," Mathematics, MDPI, vol. 11(10), pages 1-12, May.
    2. Wenshuai Wu & Gang Kou, 2016. "A group consensus model for evaluating real estate investment alternatives," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-10, December.
    3. Wang, Ying-Ming & Luo, Ying & Hua, Zhongsheng, 2008. "On the extent analysis method for fuzzy AHP and its applications," European Journal of Operational Research, Elsevier, vol. 186(2), pages 735-747, April.
    4. Puppala, Harish & Peddinti, Pranav R.T. & Tamvada, Jagannadha Pawan & Ahuja, Jaya & Kim, Byungmin, 2023. "Barriers to the adoption of new technologies in rural areas: The case of unmanned aerial vehicles for precision agriculture in India," Technology in Society, Elsevier, vol. 74(C).
    5. Hsin-Chieh Wu & Toly Chen & Chin-Hau Huang, 2020. "A Piecewise Linear FGM Approach for Efficient and Accurate FAHP Analysis: Smart Backpack Design as an Example," Mathematics, MDPI, vol. 8(8), pages 1-18, August.
    6. Paweł Karczmarek & Witold Pedrycz & Adam Kiersztyn, 2021. "Fuzzy Analytic Hierarchy Process in a Graphical Approach," Group Decision and Negotiation, Springer, vol. 30(2), pages 463-481, April.
    7. Koray Altintas & Ozalp Vayvay & Sinan Apak & Emine Cobanoglu, 2020. "An Extended GRA Method Integrated with Fuzzy AHP to Construct a Multidimensional Index for Ranking Overall Energy Sustainability Performances," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    8. Zsuzsanna Katalin Szabo & Zsombor Szádoczki & Sándor Bozóki & Gabriela C. Stănciulescu & Dalma Szabo, 2021. "An Analytic Hierarchy Process Approach for Prioritisation of Strategic Objectives of Sustainable Development," Sustainability, MDPI, vol. 13(4), pages 1-26, February.
    9. Zhu, Bin & Xu, Zeshui, 2014. "Analytic hierarchy process-hesitant group decision making," European Journal of Operational Research, Elsevier, vol. 239(3), pages 794-801.
    10. Devesh Kumar & Gunjan Soni & Rohit Joshi & Vipul Jain & Amrik Sohal, 2022. "Modelling supply chain viability during COVID-19 disruption: A case of an Indian automobile manufacturing supply chain," Operations Management Research, Springer, vol. 15(3), pages 1224-1240, December.
    11. Raharjo, Hendry & Xie, Min & Brombacher, Aarnout C., 2009. "On modeling dynamic priorities in the analytic hierarchy process using compositional data analysis," European Journal of Operational Research, Elsevier, vol. 194(3), pages 834-846, May.
    12. Hocine, Amine & Kouaissah, Noureddine, 2020. "XOR analytic hierarchy process and its application in the renewable energy sector," Omega, Elsevier, vol. 97(C).
    13. Sandeep Singh & Jaimal Singh Khamba & Davinder Singh, 2023. "Study of energy-efficient attributes of overall equipment effectiveness in Indian sugar mill industries through analytical hierarchy process (AHP)," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 374-384, March.
    14. James G. Dolan & Emily Boohaker & Jeroan Allison & Thomas F. Imperiale, 2013. "Patients’ Preferences and Priorities Regarding Colorectal Cancer Screening," Medical Decision Making, , vol. 33(1), pages 59-70, January.
    15. Changling Sun & Ziang Lin & Marek Vochozka & Zuzana Vincúrová, 2022. "Digital transformation and corporate cash holdings in China’s A-share listed companies," Oeconomia Copernicana, Institute of Economic Research, vol. 13(4), pages 1081-1116, December.
    16. Balci, Gökcay & Cetin, Ismail Bilge & Esmer, Soner, 2018. "An evaluation of competition and selection criteria between dry bulk terminals in Izmir," Journal of Transport Geography, Elsevier, vol. 69(C), pages 294-304.
    17. Jana Krejčí & Alessio Ishizaka, 2018. "FAHPSort: A Fuzzy Extension of the AHPSort Method," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1119-1145, July.
    18. Chaima Ben Abdallah & Adnen El-Amraoui & François Delmotte & Ahmed Frikha, 2024. "A Hybrid Approach for Sustainable and Resilient Farmer Selection in Food Industry: Tunisian Case Study," Sustainability, MDPI, vol. 16(5), pages 1-31, February.
    19. Almalky,, 2020. "An Integrated Multi‐Criteria Decision Support Framework for the Selection of Suppliers in Small and Medium Enterprises based on Green Innovation Ability," OSF Preprints 3cg8j, Center for Open Science.
    20. Magdalena Ligus, 2017. "Evaluation of Economic, Social and Environmental Effects of Low-Emission Energy Technologies Development in Poland: A Multi-Criteria Analysis with Application of a Fuzzy Analytic Hierarchy Process (FA," Energies, MDPI, vol. 10(10), pages 1-20, October.

    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:sae:sagope:v:13:y:2023:i:4:p:21582440231212256. 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: SAGE Publications (email available below). General contact details of provider: .

    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.