Data-Driven Analysis of Palm Oil Derivative Innovation Acceleration through Business Incubation: Evidence from Pasaman Barat

The dataset presented in this research provides comprehensive information related to the development of a sustainable business incubation model for palm oil derivative small and medium enterprises (SMEs) in West Pasaman, Indonesia. It consists of both qualitative and quantitative data collected through expert interviews, structured questionnaires, and secondary document analysis. The qualitative data include detailed interview transcripts from experts, government representatives, and SME actors involved in palm oil derivative production. These transcripts capture valuable insights into the challenges, opportunities, and key success factors influencing incubation performance. The quantitative component comprises Analytical Hierarchy Process (AHP) pairwise comparison matrices that evaluate the relative importance of various criteria and sub-criteria across incubation stages—pre-incubation, incubation, and post-incubation. Each comparison matrix was processed to obtain weighted priority values and consistency ratios (CR), ensuring that all judgments met the required reliability threshold (CR ≤ 0.1). The dataset also contains summary tables displaying aggregated weights from multiple respondents, which provide a clear representation of how experts perceive the most critical elements of successful incubation. Supporting secondary data were gathered from national and regional sources, including the Central Bureau of Statistics (BPS), the Palm Oil Fund Management Agency (BPDPKS), and government reports that describe the socio-economic conditions of the West Pasaman region. These additional sources help contextualize the primary data and strengthen the validity of the model. All data files are organized in spreadsheet format (.xlsx), accompanied by metadata describing variable definitions, criteria hierarchy, and processing steps. Sensitive or identifying information from respondents has been anonymized. This dataset can be reused for comparative studies on business incubation, SME empowerment, or regional innovation systems, and may serve as a foundation for further development of decision-support tools for sustainable agribusiness management.

本研究发布的数据集，全面涵盖印度尼西亚西帕萨曼地区棕榈油衍生品中小企业（SMEs）可持续商业孵化模式开发相关的完整研究信息。数据集包含定性与定量两类数据，采集方式涵盖专家访谈、结构化问卷调研及二手文献分析。定性数据部分包含参与棕榈油衍生品生产的专家、政府代表及中小企业从业者的详细访谈转录文本，这些转录内容留存了影响孵化绩效的挑战、机遇与关键成功因素等极具价值的洞见。定量数据部分则包含层次分析法（Analytical Hierarchy Process, 简称AHP）成对比较矩阵，用于评估预孵化、孵化期、孵化后各孵化阶段内各类准则与子准则的相对重要性。每一组比较矩阵均经过处理以获取加权优先级值与一致性比率（CR），确保所有判断均满足规定的可靠性阈值（CR ≤ 0.1）。数据集还包含汇总多受访者加权得分的汇总表格，可清晰展现专家群体对成功孵化核心要素的认知倾向。辅助二手数据源自国家与区域级官方数据源，包括中央统计局（BPS）、棕榈油基金管理局（BPDPKS）以及描述西帕萨曼地区社会经济状况的政府报告，此类数据源可为原始数据提供背景支撑，强化孵化模型的效度。所有数据文件均以电子表格格式（.xlsx）存储，并附带描述变量定义、准则层级与数据处理流程的元数据。已对受访者的敏感信息与身份标识完成匿名化处理。本数据集可重复应用于商业孵化、中小企业赋能或区域创新系统相关的比较研究，亦可作为开发可持续农业综合管理决策支持工具的研究基础。