i-Pulse: A NLP based novel approach for employee engagement in logistics organization

Abstract

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.

Contract Types, Institutional Distance and Operational Performance: Evidence from Global Trade Flows in the LNG Industry

“…Operational performance is viewed as a key indicator in the supply chain management literature. Extant research has shown that operational performance depends on a number of antecedents, such as governance modes (Cao and Lumineau, 2015), the extent of collaboration (Chen, Preston and Xia, 2013), the successful implementation of ISO certifications (Lafuente, Bayo-Moriones and García-Cestona, 2010), the use of digital or other artificial intelligence-aided software (Chang and Gurbaxani, 2012;Deepu and Ravi, 2021;Garg et al, 2021;Kar, 2014) and other organizational factors (Um and Oh, 2020). Recently, research has been investigating the determinants of operational performance in the context of dyadic (Kar and Pani, 2014), triadic (Choi and Wu, 2009) and other multi-party relationships (Thomas et al, 2016).…”

Work Engagement : A Systematic Literature Review and Bibliometric Analysis

“…The study discusses work engagement as variable mediation among role work systems and commitment. Deep psychology companies must give perspective to wellbeing to employee engagement (Garg et al, 2021). Pressure psychology in work can be reduced with work engagement with a training program (Jindo et al, 2020;Maltseva, 2020).…”

“…Furthermore, work engagement is also related with system work (Maltseva, 2020). System work will help the work engagement process (Garg et al, 2021).…”

Logistics and Freight Transportation Management: An NLP based Approach for Shipment Tracking

“…This need gap requires developments from the processing of natural languages and machine learning. The Machine Learning (ML) and NLP algorithms can quickly transform large numbers of unstructured text into workable insights (Garg et al, 2021c). Natural language technologies have gained substantial focus from business, academia, and government since their inception.…”