Internal Marketing Practice Efficacy and Human Resource Effectiveness in a Logistic Firm Using a Machine Learning Approach

Mukta Goyal Assistant Professor; Ekata Gupta Associate Professor; Anand Prakash Dube Associate Professor

Mukta Goyal Assistant Professor Guru Nanak Dev. Institute of Technology, Delhi. Department of management
Ekata Gupta Associate Professor Guru Nanak Institute of Management, Delhi
Anand Prakash Dube Associate Professor School of Management Sciences, Varanasi

Keywords: Internal Marketing, Employee Satisfaction, Human Resource Effectiveness, Machine Learning,

Abstract

Internal marketing (IM) is concerned with attracting and retaining customer oriented employees. Internal marketing
detractors argue that the term is simply a euphemism for good human resource management. Internal marketing and human
resource effectiveness (HRE) concepts are considered at both a strategic and technical level, and appropriate measures are
identified. Employees are important clients, so don’t neglect them. In this reference, anticipate business rebate programmes,
promotional deals, and even specimens that will all contribute to increasing your employees' sense of belonging while also
enabling them to profit from the fruits of their labour. In today's world, every profitable business places a high value on human
resource management and internal marketing because they recognise the value of those activities and the strategic advantage
they can bring to the organisation. Internal Marketing (IM) is a new and emerging discipline that is being used in a variety of
businesses to improve the role of the employee. The goal of this research is to determine the effect of internal marketing on
employee satisfaction. Data on various aspects of employee fulfilment and promotional strategies is gathered. Because
Machine Learning (ML) is on the cusp of having a significant impact on professional and personal relationships, a
comparison of various ML algorithms is conducted in order to predict staff morale with precision, accuracy, and recall.
Finally, using the Technique for Order Preference by Similarity to Ideal Solution, the models are ranked (TOPSIS).A case of
well-known logistic firm, Leading Logistics is considered to validate ML models and its accuracy.The study provides
empirical support for the existence of a valid and distinct distinction between IM and HRE, as well as the importance of IM as
a precursor to HRE.We will also explore the correlation between internal distribution and employee satisfaction.