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Mark A Jacobs - One of the best experts on this subject based on the ideXlab platform.
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does supply chain integration mediate the relationships between product process strategy and service performance an empirical study
International Journal of Production Economics, 2012Co-Authors: Cornelia Droge, Shawnee K Vickery, Mark A JacobsAbstract:Abstract Determining the antecedents and performance consequences of supply chain integration is a key focus of recent supply chain management research. This study investigates the role of supply chain integration in mediating the effects of product and process Modularity strategies on service performance. Adaptive Structuration Theory (AST) provides the theoretical context. The study provides empirical support for the importance of considering product and process strategies in understanding the impact of integration on performance. Canonical correlation analysis and effects decomposition are used to test the research model. The results demonstrate that customer integration mediates the linkages from product Modularity and process Modularity to delivery performance, as well as mediating the relationship between process Modularity and support performance. In contrast, supplier integration mediates the relationship between process Modularity and delivery performance only. The overall lack of support for a direct relationship between process Modularity and service performance suggests that modular processes (1) lack intrinsic interfaces such as those found in modular product architectures and (2) rely upon integration to fill the role of interface. Product Modularity and process Modularity are both shown to be related to supplier integration and customer integration, suggesting that they engender integration across a supply chain.
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product and process Modularity s effects on manufacturing agility and firm growth performance
Journal of Product Innovation Management, 2011Co-Authors: Mark A Jacobs, Shawnee K Vickery, Cornelia Droge, Roger J CalantoneAbstract:Modularity in product design has been hailed as a way to speed new product development (NPD), to reduce NPD cost, and to enhance customization possibilities for consumers. Modularity in process design may speed new product manufacturing setup times, reduce costs, and enhance the profitability of the lower volumes that customization often entails. However, empirical evidence is scarce that either product or process Modularity—individually, jointly, or sequentially—actually produce these or other proposed benefits (e.g., performance growth). This study builds on general modular systems theory (GMST) by examining the theoretical relationship between product and process Modularity and the effects of each on firm growth performance. Using structural equation modeling, partial versus complete mediation by manufacturing agility is also scrutinized. In one pair of models, product Modularity and process Modularity are separate direct antecedents to manufacturing agility, which is modeled to affect firm growth performance; in a second pair of models, product and process Modularity are related antecedents to manufacturing agility, with product Modularity preceding process Modularity. Results from the best-fitting model show that product Modularity directly and positively affects process Modularity, manufacturing agility, and firm growth performance. Process Modularity was unrelated to manufacturing agility, and neither process Modularity nor manufacturing agility predicted growth performance. Consistent with GMST, the study provides empirical evidence of the power of one element of a modular system to orchestrate a fit between a firm’s product and manufacturing strategies and to directly drive system performance. Thus, Modularity in product design is revealed as the key to understanding GMST effects concerning how changes in one system generate changes in other systems.
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the effects of product Modularity on competitive performance do integration strategies mediate the relationship
International Journal of Operations & Production Management, 2007Co-Authors: Mark A Jacobs, Shawnee K Vickery, Cornelia DrogeAbstract:Purpose – The purpose of this paper is to examine the effects of product Modularity on four aspects of competitive performance: cost, quality, flexibility, and cycle time.Design/methodology/approach – Constructs were created from a comprehensive survey of the automotive sector. Regression is used to ascertain the relationship between the constructs of product Modularity and performance with three different integration strategies as mediators.Findings – Modularity positively and directly influences each aspect of competitive performance for each integration strategy tested. Indirect effects were found for each integration strategy for cost and flexibility; and for manufacturing integration and cycle time.Practical implications – A product Modularity strategy enables simultaneous improvements on multiple dimensions of competitive performance.Originality/value – This research is the first to empirically validate the effects of product Modularity on competitive performance. Furthermore, it provides insight in...
Shawnee K Vickery - One of the best experts on this subject based on the ideXlab platform.
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the effects of product Modularity on launch speed
International Journal of Production Research, 2015Co-Authors: Shawnee K Vickery, Yemisi A Bolumole, Matthew Castel, Roger J CalantoneAbstract:Extant literature suggests that product Modularity positively and directly impacts the timeliness and frequency of new products as well as manufacturing performance, particularly flexibility. Little is known about the nature of these relationships, however, since few empirical studies have been done. Important questions remain unanswered including whether the effect of Modularity on launch speed is direct or indirect, and what role other constructs might play. This study explores these issues by examining the effects of product Modularity on launch speed within a holistic framework that considers the roles of product platforms and manufacturing flexibility. Drawing upon dynamic capabilities theory in the resource-based view, the model depicts product Modularity as antecedent to product platforms, product platforms as antecedent to manufacturing flexibility and manufacturing flexibility as antecedent to launch speed. The model is strongly supported by an analysis of 93 manufacturers. Results reveal a posit...
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does supply chain integration mediate the relationships between product process strategy and service performance an empirical study
International Journal of Production Economics, 2012Co-Authors: Cornelia Droge, Shawnee K Vickery, Mark A JacobsAbstract:Abstract Determining the antecedents and performance consequences of supply chain integration is a key focus of recent supply chain management research. This study investigates the role of supply chain integration in mediating the effects of product and process Modularity strategies on service performance. Adaptive Structuration Theory (AST) provides the theoretical context. The study provides empirical support for the importance of considering product and process strategies in understanding the impact of integration on performance. Canonical correlation analysis and effects decomposition are used to test the research model. The results demonstrate that customer integration mediates the linkages from product Modularity and process Modularity to delivery performance, as well as mediating the relationship between process Modularity and support performance. In contrast, supplier integration mediates the relationship between process Modularity and delivery performance only. The overall lack of support for a direct relationship between process Modularity and service performance suggests that modular processes (1) lack intrinsic interfaces such as those found in modular product architectures and (2) rely upon integration to fill the role of interface. Product Modularity and process Modularity are both shown to be related to supplier integration and customer integration, suggesting that they engender integration across a supply chain.
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product and process Modularity s effects on manufacturing agility and firm growth performance
Journal of Product Innovation Management, 2011Co-Authors: Mark A Jacobs, Shawnee K Vickery, Cornelia Droge, Roger J CalantoneAbstract:Modularity in product design has been hailed as a way to speed new product development (NPD), to reduce NPD cost, and to enhance customization possibilities for consumers. Modularity in process design may speed new product manufacturing setup times, reduce costs, and enhance the profitability of the lower volumes that customization often entails. However, empirical evidence is scarce that either product or process Modularity—individually, jointly, or sequentially—actually produce these or other proposed benefits (e.g., performance growth). This study builds on general modular systems theory (GMST) by examining the theoretical relationship between product and process Modularity and the effects of each on firm growth performance. Using structural equation modeling, partial versus complete mediation by manufacturing agility is also scrutinized. In one pair of models, product Modularity and process Modularity are separate direct antecedents to manufacturing agility, which is modeled to affect firm growth performance; in a second pair of models, product and process Modularity are related antecedents to manufacturing agility, with product Modularity preceding process Modularity. Results from the best-fitting model show that product Modularity directly and positively affects process Modularity, manufacturing agility, and firm growth performance. Process Modularity was unrelated to manufacturing agility, and neither process Modularity nor manufacturing agility predicted growth performance. Consistent with GMST, the study provides empirical evidence of the power of one element of a modular system to orchestrate a fit between a firm’s product and manufacturing strategies and to directly drive system performance. Thus, Modularity in product design is revealed as the key to understanding GMST effects concerning how changes in one system generate changes in other systems.
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the effects of product Modularity on competitive performance do integration strategies mediate the relationship
International Journal of Operations & Production Management, 2007Co-Authors: Mark A Jacobs, Shawnee K Vickery, Cornelia DrogeAbstract:Purpose – The purpose of this paper is to examine the effects of product Modularity on four aspects of competitive performance: cost, quality, flexibility, and cycle time.Design/methodology/approach – Constructs were created from a comprehensive survey of the automotive sector. Regression is used to ascertain the relationship between the constructs of product Modularity and performance with three different integration strategies as mediators.Findings – Modularity positively and directly influences each aspect of competitive performance for each integration strategy tested. Indirect effects were found for each integration strategy for cost and flexibility; and for manufacturing integration and cycle time.Practical implications – A product Modularity strategy enables simultaneous improvements on multiple dimensions of competitive performance.Originality/value – This research is the first to empirically validate the effects of product Modularity on competitive performance. Furthermore, it provides insight in...
Andrew Kusiak - One of the best experts on this subject based on the ideXlab platform.
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integrated product and process design a Modularity perspective
Journal of Engineering Design, 2002Co-Authors: Andrew KusiakAbstract:Modularity refers to products, processes, and resources that fulfill various functions through the combination of distinct building blocks. As companies strive to rationalize engineering design, manufacturing, and support processes in order to produce a large variety of products at lower costs, they are focusing on Modularity. In this paper, integration aspects of Modularity of products, processes, and resources are discussed. Modular products result in flexible designs, which enable a company to respond to the changing markets and technologies by rapidly and inexpensively creating product variants derived from different combinations of the existing or new modules. Product Modularity has a strong relationship with the Modularity of processes and resources.
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Modularity in design of products and systems
Systems Man and Cybernetics, 1998Co-Authors: Chunche Huang, Andrew KusiakAbstract:Modularity refers to the use of common units to create product variants. This paper aims at the development of models and solution approaches to the Modularity problem for mechanical, electrical, and mixed process products (e.g., electromechanical products). To interpret various types of Modularity, e.g., component-swapping, component-sharing and bus Modularity, a matrix representation of the Modularity problem is presented. The decomposition approach is used to determine modules for different products. The representation and solution approaches presented are illustrated with numerous examples. The paper presents a formal approach to Modularity allowing for optimal forming of modules even in the situation of insufficient availability of information. The modules determined may be shared across different products.
Katelyn L Arnemann - One of the best experts on this subject based on the ideXlab platform.
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functional brain network Modularity predicts response to cognitive training after brain injury
Neurology, 2015Co-Authors: Katelyn L Arnemann, Anthony J W Chen, Tatjana Novakovicagopian, Caterina Gratton, Emi M Nomura, Mark DespositoAbstract:Objective: We tested the value of measuring Modularity, a graph theory metric indexing the relative extent of integration and segregation of distributed functional brain networks, for predicting individual differences in response to cognitive training in patients with brain injury. Methods: Patients with acquired brain injury (n = 11) participated in 5 weeks of cognitive training and a comparison condition (brief education) in a crossover intervention study design. We quantified the measure of functional brain network organization, Modularity, from functional connectivity networks during a state of tonic attention regulation measured during fMRI scanning before the intervention conditions. We examined the relationship of baseline Modularity with pre- to posttraining changes in neuropsychological measures of attention and executive control. Results: The Modularity of brain network organization at baseline predicted improvement in attention and executive function after cognitive training, but not after the comparison intervention. Individuals with higher baseline Modularity exhibited greater improvements with cognitive training, suggesting that a more modular baseline network state may contribute to greater adaptation in response to cognitive training. Conclusions: Brain network properties such as Modularity provide valuable information for understanding mechanisms that influence rehabilitation of cognitive function after brain injury, and may contribute to the discovery of clinically relevant biomarkers that could guide rehabilitation efforts.
Margherita Pero - One of the best experts on this subject based on the ideXlab platform.
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linking product Modularity to supply chain integration in the construction and shipbuilding industries
International Journal of Production Economics, 2015Co-Authors: Margherita Pero, Martin Stoslein, Roberto CigoliniAbstract:Abstract Modularity is gaining relevance within Engineer-to-Order (ETO) industries such as construction and shipbuilding. So far, however, the concept of Modularity does not seem to have fully captured all the facets within these specific industries. Yet, the impact of product Modularity on Supply Chain (SC) integration is still an open issue. We investigated the concept of Modularity within the ETO industry, by means of an explorative case studies approach. Some observations have allowed us to clarify the meaning of Modularity within the ETO industry. Moreover, the relationship between Modularity and SC integration has been examined, and a number of contingent variables – e.g. customization, IP awareness, innovativeness, company and product size – have been identified. These variables are able to affect the level of both product Modularity and SC integration. The highlighted relations build a basis for further research steps using survey-related instruments.
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linking product Modularity and innovativeness to supply chain management in the italian furniture industry
International Journal of Production Economics, 2012Co-Authors: Maria Caridi, Margherita Pero, Andrea SianesiAbstract:Abstract Much of the literature on Modularity assumes that firms with modular products adopt modular organization. In the realm of supply chain management, no consensus has been reached on the effects of product Modularity on supply chains (SC). This paper investigates whether SC choices depend on product Modularity and innovativeness, and how SC choices can be aligned to these product features to maximize performance. A medium scale survey has been performed in the Italian furniture industry. By means of factor and cluster analyses, the SC of firms that introduced products with different levels of Modularity and innovativeness have been compared. The results show that both product features must be considered when designing the SC.
