Purpose

This study aims to develop cause-and-effect relationships among the critical success factors (CSFs) of fintech adoption and rank these CSFs based on their importance in the model.

Design/methodology/approach

To achieve the objectives of the study, the Fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL) approach was used. The data was collected from 16 experts using a questionnaire.

Findings

The findings demonstrated the interrelationships among the CSFs. In total, 16 critical factors were recognized as causal factors, and the remaining eight were considered effect factors. The CSFs were ranked based on their importance in fintech adoption.

Originality/value

This study is novel as it investigates CSFs of fintech adoption using FDEMATEL, and it contributes to understanding the nature of these factors and how they affect fintech adoption. The findings propose a significant basis to deepen fintech adoption and deliver a clue to design a practical framework for fintech adoption.

中文翻译：

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识别并排列金融科技采用的关键成功因素：模糊 DEMATEL 方法

目的

本研究旨在建立金融科技采用的关键成功因素 (CSF) 之间的因果关系，并根据这些 CSF 在模型中的重要性对其进行排名。

设计/方法论/途径

为了实现研究目标，使用了模糊决策试验和评估实验室（FDEMATEL）方法。数据是通过问卷调查从 16 名专家那里收集的。

发现

研究结果证明了 CSF 之间的相互关系。总共有 16 个关键因素被认为是因果因素，其余 8 个被认为是影响因素。CSF 根据其在金融科技采用中的重要性进行排名。

原创性/价值

这项研究很新颖，因为它使用 FDEMATEL 调查了金融科技采用的关键成功要素，有助于理解这些因素的性质以及它们如何影响金融科技的采用。研究结果为深化金融科技采用奠定了重要基础，并为设计金融科技采用的实用框架提供了线索。