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◆ Journal of Applied Business & Behavioral Sciences2025-12-18· Workflow

<b>Leveraging Credamo for Efficient Data Collection: Functional Introductions and Cross-Field Applications in Academic and Commercial Settings</b>

Kai Yao, Kaibin He, Chubing Zhang

原始摘要(英文原文)· Original abstract
In recent years, research utilizing online platforms for surveys and experiments has been significantly popularized. As an emerging online platform for surveys and experiments, Credamo (credamo.com) has attracted growing attention in academic and commercial fields owing to its robust and integrated functionality. However, there is currently a lack of systematic introduction to its functions and applications. This article provides a comprehensive introduction to the Credamo platform and its applications in academic and commercial settings, focusing on its support for single integrated workflow of questionnaires and experimental design, sample services, and data analysis. It aims to offer clear guidance for researchers in various fields to use Credamo effectively.
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<b>Leveraging Credamo for Efficient Data Collection: Functional Introductions and Cross-Field Applications in Academic and Commercial Settings</b> — 科研速览 Science Skim