New Product Development and Innovation in the Maquiladora Industry: A Causal Model

Abstract

Abstract:Companies seek to stand out from their competitors and react to other competitive threats. Making a difference means doing things differently in order to create a product that other companies cannot provide. This can be achieved through an innovation process. This article analyses, by means of a structural equation model, the current situation of Mexican maquiladora companies, which face the constant challenge of product innovation. The model associates three success factors for new product development (product, organization, and production process characteristics as independent latent variables) with benefits gained by customers and companies (dependent latent variables). Results show that, in the Mexican maquiladora sector, organizational characteristics and production processes characteristics explain only 31% of the variability (R 2 = 0.31), and it seems necessary to integrate other aspects. The relationship between customer benefits and company benefits explains 58% of the variability, the largest proportion in the model (R 2 = 0.58).

Searching in the regulatory environment: The impact of regulatory search on firm innovativeness

“…Following past studies, such as Garcia-Alcaraz et al (2016), He and Wong (2004), Rubera et al (2016), Schultz et al (2013) and Sidhu et al (2007), we focus on firm innovativeness on product innovation, and, specifically, as an outcome variable, on the performance of the firm’s new product development programme. We collected perceptual data as the financial performance of new products is not publicly reported, especially for private firms.…”

Effect of the Sustainable Supply Chain on Business Performance— The Maquiladora Experience

“…There is no recent research regarding SSC in the maquiladora industry, where there are currently 5,138 companies under this taxonomy. A maquiladora is a subsidiary company representing a foreign investment established in national territory and having its headquarters in other countries [20] By importing raw materials and exporting their products, the maquiladoras in Ciudad Juarez have a very consolidated supply chain and do so through three international bridges that cross into the United States of America. For example, IMMEX [22] reports the following data for the year 2021 regarding border crossings:…”

Coping with Complexity When Predicting Surface Roughness in Milling Processes: Hybrid Incremental Model with Optimal Parametrization

“…Additionally, the number of proposed random perturbations at each temperature is 100 and the number of accepted solutions to proposed random perturbations is 30. The exploration space is ∈ [1,10], ∈ [1,10], ∈ [1,3] where , ∈ Z and ∈ R.…”

“…The column labelled Ra represents the nominal values measured in workpieces and the subscripts ( , SCEC, , HIM) represent the predicted values using the models (see (10)- (12)). The theoretical model, the SCEC model, and the Taguchi model are evaluated using the cutting conditions already reported in [14,35] with ∈ [1000, 3000] (rpm), ∈ [1,3] (mm), ∈ [50, 100] (mm/min). In the work herein reported the same material (AL-7075) and the same tool (a 2-flute solid carbide flat-end mill with a diameter of 10 mm) are also used in the experiments.…”

“…Despite the progress in science and technology, manufacturing processes are still considered complex systems consisting of several interacting subsystems with noisy, timevariant, and nonlinear behavior [1,2]. New models are then required to better deal with manufacturing companies' threats innovating in whole value chain [3]. Machining processes, and specifically milling processes, are key elements of manufacturing value chain [4].…”