Workforce Diversity in an Organization – A Quantitative ABCD Analysis

Author:

Krithi 1,Pai Ramesh2

Affiliation:

1. Research Scholar, Institute of Management & Commerce, Srinivas University, Mangalore – 575001, India

2. Research Professor, Institute of Management & Commerce, Srinivas University, Mangalore – 575001, India

Abstract

Purpose: This study aims to get additional knowledge about the ABCD framework's application to workforce diversity analysis in organizations. determining elements, important attributes, and advantages, disadvantages, constraints, and benefits from the viewpoint of stakeholders, as well as identifying and evaluating the main influencing factor in terms of workforce diversity in an organization. Design: From 2016 to 2023, the study thoroughly analyzed all published papers relevant to the ABCD analytical framework. The study used quantitative analysis and focus group interaction to determine the critical influencing factors and crucial constituent parts for workforce diversity in an organization by allocating appropriate weightage to key traits. Findings: This study suggests that the ABCD framework is suitable for use in the analysis and evaluation of a business model, concept, product, strategy, or system. Academics working in a variety of fields frequently employ this technique to evaluate research articles. According to a quantitative ABCD analysis of staff diversity in a firm, advantage factors have a significant impact on the success of the organization. The ABCD analysis supports the concept/ideas of workforce diversity's efficacy in an organization. Originality: According to the ABCD analytical framework for workforce diversity in an organization, the study provides ideas on determinant issues, key traits, main impacting factors, and critical constituent parts. Type of Paper: Empirical Research

Publisher

Srinivas University

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Tech-Business Analytics in the Circular Economy;International Journal of Management, Technology, and Social Sciences;2024-05-30

2. Tech-Business Analytics in Blue Economy;International Journal of Applied Engineering and Management Letters;2024-05-16

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