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Industrial human resource management optimization based on skills and characteristics

机译：基于技能和特征的工业人力资源管理优化

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摘要

In an increasingly diversified and competitive job market, not only is seeking the right job more challenging but also for companies, finding and holding on to the right persons is becoming the competitive edge necessary to outperform and grow. Skill preference and personality traits are key factors used to find the right candidate and previously many of this process have been conducted manually. The characteristics of job candidate and core-workers in companies are represented by Myers-Briggs Type Indicator (MBTI). The main reason for considering personality trait is to find and hire job candidates having the same trait as the company's core employees' hard working and loyal employees so that adapting to company culture and environment does not become difficult process for new hires. In this paper, the framework named Artificial Intelligence based Design platform (AID) has been applied for career matching based on companies' and candidates' skill preferences and MBTI with constraint of working location. The paper investigates three conceptual matching optimizations including (1) skill preferences, (2) skill preferences under working area constraint, (3) skill and MBTI preference with working area constraint. The numerical results show that the proposed method produces higher quality matching when compared to the conventional methods.
机译：在日益多样化和竞争力的就业市场中，不仅在寻求正确的工作更具挑战性，而且还为公司而言，寻找和持有对合适的人士正在成为优于和成长所必需的竞争优势。技能偏好和人格特征是用于找到合适候选者的关键因素，并且手动进行此过程中的许多过程。公司的职位候选人和核心工作人员的特征由Myers-Briggs类型指标（MBTI）表示。考虑人格特质的主要原因是找到和雇用与公司核心员工勤奋和忠诚员工相同特性的候选人，以便适应公司文化和环境并未成为新员工的艰难过程。在本文中，根据公司和候选人的技能偏好和MBTI的基于职业匹配，涉及人工智能基于设计平台（AID）的框架，具有工作地点的限制。该论文调查了三种概念匹配优化，包括（1）技能偏好，（2）在工作区约束下的技能偏好，（3）技能和MBTI优先于工作区约束。数值结果表明，与传统方法相比，所提出的方法产生更高质量的匹配。

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