Delphi Expert Elicitation Dataset — MDP Framework for Expert Knowledge Management in Software Industry

This dataset supports the paper "Optimizing Expert Knowledge Investments in the Software Industry: A Markov Decision Process Approach to Innovation in Knowledge Management" (submitted to Journal of Innovation & Knowledge, Elsevier).
The dataset contains the complete results of a three-round modified Delphi expert elicitation study conducted to calibrate the transition probabilities and model parameters of a Markov Decision Process (MDP) framework for expert knowledge management. Thirteen domain experts (5 Chief Technology Officers and 8 Senior Engineering Managers) from the Argentine software industry participated across three rounds over six weeks.
The file comprises seven sheets: (1) expert panel demographics and selection criteria; (2) the complete Delphi questionnaire instrument covering 47 parameters; (3–5) individual expert responses for Rounds 1, 2, and 3; (6) convergence analysis including IQR, coefficient of variation, and inter-rater reliability metrics (ICC(2,k) = 0.84; Fleiss' κ = 0.71); and (7) final adopted parameter values with full traceability to the MDP transition function and reward specification used in the manuscript.
This dataset enables complete reproducibility of all model parameters from raw expert judgment to final adopted values (47 parameters × 13 experts × 3 rounds = 1,833 data points).

本数据集支持论文《优化软件行业的专家知识投入：知识管理创新的马尔可夫决策过程方法》（已提交至爱思唯尔（Elsevier）旗下《创新与知识期刊》（Journal of Innovation & Knowledge））。
该数据集包含一项三轮改良德尔菲专家征询研究的完整成果，该研究旨在校准用于专家知识管理的马尔可夫决策过程（Markov Decision Process, MDP）框架的转移概率与模型参数。本次研究历时六周，分三轮开展，共有来自阿根廷软件行业的13名领域专家参与，其中包括5名首席技术官（Chief Technology Officers, CTO）与8名高级工程经理。
该数据集文件包含7个工作表：(1) 专家小组人口统计学特征与遴选标准；(2) 涵盖47项参数的完整德尔菲调查问卷工具；(3–5) 第1、2、3轮的单专家响应数据；(6) 收敛性分析结果，包括四分位距（Interquartile Range, IQR）、变异系数以及评分者间信度指标（ICC(2,k) = 0.84；Fleiss' κ = 0.71）；(7) 最终采用的参数值，且完整追溯了论文中使用的MDP转移函数与奖励规范。
本数据集可实现从原始专家判断到最终采用参数的全部模型参数的完全可复现，共计47项参数 × 13名专家 × 3轮调研，总计1833个数据点。