The Balanced Score Card as a Predictor of Supply Chain Improvement for ACES Peru, 2022
Author(s)
Roberto Daniel Souza Galo
Yngue Elizabeth Ramírez Pezo
Date Issued
5 de mayo de 2024
Type
Article
Volume
13
Issue
3
Start Page
348
End Page
348
Abstract
The application of Balance Score Card (BSC) and Supply Chain (SC) as structured methods of strategic analysis is scarce and controversial in the business management of some companies, except in large industries competing in the globalized market. The objective of the study was to analyze the Balance Score Card as a predictive tool to improve the Supply Chain (SC) of the company ACES Peru, 2022. The study evaluates the BSC variables and the five dimensions of the CS variable: Supply, production, storage, transportation and distribution, a total of 24 items on a Likert scale. A total of 260 responses were collected from those who participated in the survey. Statistically, exploratory factor analysis, Varimax factorial rotation, KMO, CFI, TLI and RSMA tests were used. The results show that BSC was not a significant predictor of CS; however, the BSC variable is a significant predictor of the dimensions of the CS variable. In these circumstances the BSC model assumes the role of evaluator of the management strategies developed in ACES and improver of the predictor level of CS and its dimensions. Received: 1 December 2023 / Accepted: 7 April 2024 / Published: 5 May 2024