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How financial technology (fintech) can improve the business performance of securities firms by using the dynamic data envelopment analysis modified model

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  • Hong‐Jing Lin
  • Che‐Chien Chen
  • Yung‐ho Chiu
  • Tai‐Yu Lin

Abstract

Past literature is lack of consideration on financial technology (fintech) and undesirable output. We aim to understand the reasons underlying the operating performance of fintech in these securities firms and provide suggestions to them for promoting this growing technology phenomenon. This research employs the modified dynamic slacks‐based measurement (SBM) model to explore the electronic transaction efficiency of 38 securities firms in Taiwan. The research results show that most integrated and specialist securities firms fail to achieve the best efficiency in fintech operating performance, and large‐ and medium‐sized integrated securities firms do not achieve economies of scale.

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  • Hong‐Jing Lin & Che‐Chien Chen & Yung‐ho Chiu & Tai‐Yu Lin, 2022. "How financial technology (fintech) can improve the business performance of securities firms by using the dynamic data envelopment analysis modified model," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(4), pages 1113-1132, June.
    • Handle: RePEc:wly:mgtdec:v:43:y:2022:i:4:p:1113-1132
    DOI: 10.1002/mde.3443
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    References listed on IDEAS

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    1. Pampurini, Francesca & Pezzola, Annagiulia & Quaranta, Anna Grazia, 2024. "Lending business models and FinTechs efficiency," Finance Research Letters, Elsevier, vol. 65(C).

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