在數位轉型與技術普及化的發展下，低程式碼／無程式碼（Low-code/No-code, LCNC）系統逐漸成為組織回應多元需求的重要工具。然而，現有研究多聚焦於使用者採納與導入成效，較少探討無程式碼系統如何被建構與持續演化。因此，本研究聚焦於低數位素養情境中的無程式碼系統發展歷程，探討開發者如何回應多元需求並推動系統演進。
為探討無程式碼系統在低數位素養且需求高度異質情境中的發展歷程，本研究選擇智慧農業科技公司「智食良果」作為研究對象。智食良果長期透過自主開發之無程式碼系統協助農民進行田間管理，其發展歷程能充分呈現系統建構、調適與演化過程。
透過對智食良果無程式碼系統發展歷程的分析，本研究歸納出「專案型態」、「產品型態」與「服務型態」三個發展階段，並觀察開發者如何在系統演進過程中扮演需求與技術之間的轉譯者角色。基於此提出一套重組機制理論架構，說明開發者如何透過需求與技術的持續重組，以及對使用者操作路徑的引導，推動無程式碼系統的持續演化。本研究不僅深化對無程式碼系統動態演化機制的理解，亦歸納出其於低數位素養場域中的發展邏輯，為相關技術之設計、推動與規模化發展提供重要參考。

With the advancement of digital transformation and the widespread adoption of digital technologies, Low-code/No-code (LCNC) systems have become an important tool for addressing diverse organizational needs. However, existing studies have primarily focused on user adoption and implementation outcomes, while paying limited attention to how LCNC systems are constructed and evolve in practice. Therefore, this study examines the development process of LCNC systems in low digital literacy contexts and explores how developers drive system evolution.
This study adopts Kiao Farming, a smart agriculture technology company, as the research case. Through its self-developed no-code system, Kiao Farming supports farmers in field management, providing a valuable context for examining how LCNC systems are developed and adapted in environments characterized by low digital literacy, heterogeneous needs, and resource constraints.
Through an analysis of Kiao Farming’s no-code system development process, this study identifies three developmental stages: the Project-based Stage, the Product-based Stage, and the Service-based Stage. The findings reveal how developers act as translators between user needs and technological capabilities throughout system evolution. Based on these findings, this study proposes a Recombination Mechanism Framework, illustrating how the continuous recombination of needs and technologies, together with the guidance of user action pathways, facilitates the ongoing evolution of LCNC systems.
This study deepens the understanding of LCNC system evolution and identifies the developmental logic through which such systems evolve in low digital literacy contexts, providing implications for the design, implementation, and scaling of related technologies.

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