軟體專案具有其易變性，專案團隊通常需要根據專案特性修改既有流程，並隨著需求變動不斷進行調整以符合專案目標，此一做法稱為軟體流程調適(Software Process Tailoring, SPT)。專案團隊在執行SPT的過程中頻繁回應未知的變動，為團隊帶來風險也可能伴隨著意料之外的知識收穫。因此本研究探討偶然學習(Serendipitous learning)對SPT績效的影響，同時SPT重視團隊協作與創新性，冒險犯難氛圍促使團隊成員勇於提出想法並執行實驗性的創新決策。此外，專案團隊在挑戰型與阻礙型時間壓力下會表現出不同的協作模式。綜合上述，本研究提出一研究模型探討偶然學習對SPT績效的影響，以冒險犯難氛圍作為前因，並加入挑戰型時間壓力與阻礙型時間壓力做為調節變數。本研究採問卷調查法，以軟體專案團隊為研究目標並收回155份有效回覆。後續採用偏最小平方法(Partial Least Square)分析資料同時檢視假說。研究結果顯示，專案團隊的偶然學習對SPT績效有正向影響；團隊具冒險犯難氛圍對偶然學習與SPT績效皆有正向影響；當團隊感受到挑戰型時間壓力時，增強偶然學習對SPT績效的正向關係；若團隊處於阻礙型時間壓力下，會減弱冒險犯難氛圍對偶然學習的正向影響。本研究驗證了偶然學習對提升SPT績效的貢獻，當專案團隊面臨不可預見的風險時，由意外事件帶來的啟發能將危機化為轉機，成為促進團隊創新與進步的重要來源。;Software projects are volatile, with evolving requirements, shifting priorities, and unforeseen challenges throughout their lifecycle, and software process tailoring (SPT) can help project team navigate this rapid pace of change. Changes to project requirements are challenging but can also be a learning opportunity. Therefore, this study explores how serendipitous learning influences a team’s ability to effectively implement SPT. SPT emphasizes teamwork and innovation, and risk-taking climate encourages team members to propose and implement bold, innovative ideas. Project teams experience different types of time pressure—challenge and hindrance time pressure—that can affect collaboration patterns. Based on the preceding discussions, this study proposes a research model to investigate the impact of serendipitous learning on SPT performance, with risk-taking climate as an antecedent, and challenge and hindrance time pressures as moderators. The study analyzes 155 survey responses from members of software project teams using partial least squares (PLS) method to examine the hypotheses. According to the results, serendipitous learning positively affects SPT performance and a risk-taking climate fosters serendipitous learning and improves SPT performance. Challenge time pressure strengthens the positive relationship between serendipitous learning and SPT performance, and hindrance time pressure weakens the positive relationship between risk-taking climate and serendipitous learning. This study demonstrates that serendipitous learning contributes to improve SPT performance. Furthermore, by remaining open to new insights when encountering unforeseen events, teams can find ways to refine their processes and solve problems creatively.
