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There are several research works that use the methodology of Arcs of Integration of (Frohlich and Westbrook in J Oper Manag 19:185–200, 2001), based on the level of integration of the external supply chain with the key dimensions to represent a strategic position as the direction (toward customers and/or suppliers) and the measure (degree of integration), graphically illustrated through an arc. As well as the arcs of integration of (De la Calle Vicente in La Integracion de la Cadena de Suministro como Herramienta Competitiva: El Caso de la Industria Manufacturera del Pais Vasco, Universidad de Deusto, Bilbao, Espana, 2015) describing the level of internal integration, to measure the integration of the supply chain, however, none of these works explain a detail how to develop the methodology or the statistical process for the use of arcs of integration. Is for this reason that the objective of this work is to study in depth the methodological and statistical treatment of arcs of integration, since it is considered a good diagnostic tool to measure the level of integration, both internal and external of companies. The measurement instrument was applied to 93 food manufacturing companies in Michoacan, Mexico, and different statistical techniques were used to analyze the data and obtain valid results, such as factor analysis, discriminant analysis, linear and ordinal correlations, “t” tests., nonparametric tests, or independence tests, among others, using the R statistical programs (R Core Team V 3.6.1) and SPSS (IBM SPSS Statistics V 24). |
