469. Exploring the Interplay Between Productivity, Efficiency, and Effectiveness Using Multi-Regression Analysis: Case Study in the Food Industry
Invited abstract in session TA-60: DEA methodological developments II, stream Data Envelopment Analysis and its applications.
Tuesday, 8:30-10:00Room: Western LT
Authors (first author is the speaker)
| 1. | Sahand Daneshvar
|
| Industrial Engineering, Eastern Mediterranean University | |
| 2. | Fatemeh Abbasi
|
| Industrial Engineering, Eastern Mediterranean University |
Abstract
Productivity is a most important objective for companies striving to improve overall performance and foster economic growth. Historically, productivity has often been misinterpreted as synonymous with efficiency or effectiveness, despite their distinct definitions. Contemporary research highlights that efficiency and effectiveness are interdependent dimensions of productivity, both essential for a comprehensive understanding. This study introduces a novel framework to explore the relationship between productivity, efficiency, and effectiveness. The proposed methodology integrates Data Envelopment Analysis (DEA) with multi-regression analysis to model productivity as a function of two key regressors: efficiency and effectiveness. These variables are calculated separately as random variables under specified evaluation scenarios by selecting appropriate inputs and outputs within DEA models. The framework is applied to a case study of a bakery in Nigeria, analyzing productivity over three consecutive years (2016–2018). The estimated productivity for 2018, derived using a linear regression model, demonstrates strong alignment with the double-frontier Malmquist Productivity Index, achieving an accuracy of less than 0.01. This case study underscores the practical utility of the proposed approach in the food industry, offering a robust and systematic tool for productivity analysis.
Keywords
- Data Envelopment Analysis
Status: accepted
Back to the list of papers