Although most logistics and freight forwarding organizations, in one way or another, claim to have core values. The engagement of employees is a vast structure that affects almost every part of the company's core environmental values. There is little theoretical knowledge about the relationship between firms and the engagement of employees. Based on research literature, this paper aims to provide a novel approach for insight around employee engagement in a logistics organization by implementing deep natural language processing concepts. The artificial intelligence-enabled solution named Intelligent Pulse (I-Pulse) can evaluate hundreds and thousands of pulse survey comments and provides the actionable insights and gist of employee feedback. I-Pulse allows the stakeholders to think in new ways in their organization, helping them to have a powerful influence on employee engagement, retention, and efficiency. This study is of corresponding interest to researchers and practitioners.

中文翻译：

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i-Pulse：一种基于 NLP 的物流组织员工参与新方法

尽管大多数物流和货运代理组织以某种方式声称拥有核心价值。员工敬业度是一个庞大的结构，几乎影响到公司核心环境价值观的每一个部分。关于公司与员工敬业度之间关系的理论知识很少。基于研究文献，本文旨在通过实施深度自然语言处理概念，提供一种新颖的方法来洞察物流组织中的员工参与度。名为 Intelligent Pulse (I-Pulse) 的人工智能解决方案可以评估成百上千条脉搏调查评论，并提供可操作的见解和员工反馈的要点。I-Pulse 允许利益相关者在他们的组织中以新的方式思考，帮助他们对员工敬业度、保留率和效率产生强大的影响。这项研究对研究人员和从业人员具有相应的兴趣。