健身應用程式（fitness app）的熱門與流行成為商業市場與學術研究的關注焦點，然而當前面臨的困境即使用者對健身應用程式之棄用率高，遂引起學者亟欲探究箇中原因之動機。研析影響持續使用意願因素的視角雖多元，但借鑑社會支持理論者尚付之闕如且言人人殊。故本研究目的有三：(1)統整社會支持理論的內涵、構面及其與使用者持續使用健身產品服務系統之學理關聯與實務應用。(2)了解不同類型與條件下的社會支持型功能差異對使用者需求與持續使用意願的影響。(3)分析並轉化本研究成果為健身產品服務系統結合社會支持理論之未來研究與設計建議。本文進一步以跑步應用程式為例，探討基於訊息性社會支持的「跑步目標設定」功能（使用者自訂／系統推薦）以及基於情感性社會支持的「虛擬跑步夥伴」功能（同級跑者／進階跑者）對使用者持續使用意願及相關因子之影響，同時探析跑步應用程式使用者對不同社會支持類型及其相應功能的需求程度與差異。研究方法首先以二因子混合實驗設計操弄兩自變項各兩個層級，再以問卷法邀請受試者於參與實驗後填答量表，最後以半結構式訪談深入了解受試者對不同實驗情境的看法，以及對跑步應用程式中社會支持類型與功能的需求。本研究發現「訊息性支持」、「情感性支持」、「預期成效」、「享樂動機」、「感知說服性」皆成功預測「持續使用意願」，又虛擬跑步夥伴中的同級跑者可正向影響以上六因子，惟目標設定方式無顯著差異。此外，多數使用者期望從跑步應用程式獲得的社會支持類型，依需求強弱排序為訊息性、評價性、情感性社會支持。

The popularity of fitness apps has captured the interest of both business and academia. However, the high rate of user abandonment prompts scholars to explore its underlying causes. While various perspectives on factors influencing continuance intention exist, research applying social support theory to investigate this issue is still in its early stages. This study aims to bridge this gap by pursuing three objectives: (1) integrating social support theory into the theoretical and practical dimensions of continuance intention in fitness product-service systems; (2) examining how variations in social support features affect continuance intention under different circumstances; and (3) providing insights for future research and design. Specifically, the study delves into the impact of informational social support, manifested in “running goal-setting methods” (user-defined/system-recommended), and emotional social support, exemplified by “virtual running partners’ levels” (peer runners/advanced runners), on continuance intention and related factors. Additionally, it assesses the level of demand and disparities among running app users for different types of social support and their associated features. The research employs a two-way mixed factorial design, manipulating two variables with two levels each, followed by post-experiment questionnaires and semi-structured interviews to illuminate participants’ perceptions of various experimental scenarios and their preferences regarding social support types and features in running apps. The study findings reveal that informational support, emotional support, performance expectancy, hedonic motivation, and perceived persuasiveness effectively predict continuance intention. Moreover, peer virtual partners positively impact these factors, while no significant differences are observed in goal-setting methods. Concerning users’ expectations of social support from running apps, most prioritize them in the following order: informational, appraisal, and emotional social support.

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