Just in time strategy and profitability analysis in financial statements

Resultado de la investigación: Capítulo en Libro/Reporte/ConferenciaCapítulo

1 Cita (Scopus)

Resumen

The purpose of this paper is to describe some links between Just in Time (JIT) manufacturing strategy and performance financial analysis in financial statements. A rational, deductive, analytical and objective method was used; based on previous findings, a series of functions along with pre-post and linear regression analyses models are described as explicative of the relationships between JIT and financial statements analysis. Results show that Dirac function, value transformation function and transform kernel provide the foundations for a conceptual link between JIT and company performance in financial statements. Besides, the JIT relationship to business performance is explained by the following three models, selected from literature: a) pre-post model, explains changes in inventory and asset turnover, and their relationship to JIT; b) two-stage self-selection regression analysis model, explains how sales, inventory, company size and JIT adoption influence ROA changes; and c) lean manufacturing model, including JIT, allows explaining firm´s financial data. The conclusion is that JIT is part of a financial sequence of analysis strongly related to the structure of financial statements and company performance
Idioma originalInglés estadounidense
Título de la publicación alojadaIEOM 2017- Proceedings of the International Conference on Industrial Engineering and Operations Management
EditorialSouthfield - IEOM Society International
Páginas1363-1372
Número de páginas10
ISBN (versión impresa)978-1-5323-5943-9
EstadoPublicada - oct 25 2017
EventoIEOM Bogota Conference / 1st South American Congress 2017 - Bogota, Colombia
Duración: oct 25 2016oct 26 2016

Conferencia

ConferenciaIEOM Bogota Conference / 1st South American Congress 2017
País/TerritorioColombia
CiudadBogota
Período10/25/1610/26/16

All Science Journal Classification (ASJC) codes

  • Estrategia y gestión
  • Ciencia de la gestión e investigación de operaciones
  • Ingeniería de control y sistemas
  • Ingeniería industrial y de fabricación

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