Integrating manufacturing and R&D functions for better quality and product development performance

Abstract

PurposeThe present study aims to explore the relationship between manufacturing–research and development (R&D) integration and organizational culture in enhancing quality and product development performance (PDP).Design/methodology/approachBased on data collected from 931 manufacturing firms around world, the authors examine the proposed hypothesis by using regression analyses. In addition, PROCESS (SPSS macro) is used to test both the mediation and moderated mediation models in this study.FindingsThe findings reveal that quality management practices (QMPs) partially mediate the relationship between R&D-manufacturing integration and PDP. Further, it is found that the direct and indirect effects of R&D-manufacturing integration on PDP are stronger when the organization is characterized as participative rather than hierarchical.Originality/valueThis study, by investigating the combined effect of R&D-manufacturing integration and organizational culture on QMPs and PDP, provides practical insights into the ways that manufacturing firms effectively utilize the integration between R&D and manufacturing functions to improve QMPs and enhance PDP.

Combining internal quality-oriented product design with external supplier involvement for enhancing operational performance: the moderating role of product modularity

“…First, the results of this study enrich the understanding of the benefits of quality-oriented product design practices in improving operational performance. Previous studies emphasized that quality management is very important in promoting operational performance (Huo, 2012; Kang et al ., 2022; Zhang et al ., 2019; Zhao et al ., 2011). Similarly, our findings also support the important role of quality management during the product development stage in enhancing operational performance.…”

“…Product quality has received much attention from academics and manufacturing industries over the last two decades (Baird et al ., 2011; Dahlgaard et al ., 2019; De Cerio, 2003; Flynn et al ., 1995; Gotzamani and Tsiotras, 2001; O'Neill et al ., 2016; Vaidyanathan and Devaraj, 2008). One of the reasons for the growing attention paid to product quality is because product quality is likely to determine operational performance, generate superior customer value and eventually cultivate competitive advantage (Huo, 2012; Kang et al ., 2022; Zhang et al ., 2019; Zhao et al ., 2011). Thus, it is imperative for manufacturing firms to develop quality-oriented business practices and processes that reduce manufacturing variances (Flynn et al ., 1995) and improve product quality (Baird et al ., 2011; Huo, 2012; Kang et al ., 2022; O'Neill et al ., 2016).…”

“…One of the reasons for the growing attention paid to product quality is because product quality is likely to determine operational performance, generate superior customer value and eventually cultivate competitive advantage (Huo, 2012; Kang et al ., 2022; Zhang et al ., 2019; Zhao et al ., 2011). Thus, it is imperative for manufacturing firms to develop quality-oriented business practices and processes that reduce manufacturing variances (Flynn et al ., 1995) and improve product quality (Baird et al ., 2011; Huo, 2012; Kang et al ., 2022; O'Neill et al ., 2016). In this sense, quality-oriented product design is deemed as a strategic approach to sustainable quality management because its establishment and implementation can meet product quality targets through the coordination and integration of business processes (Antonio et al ., 2009; Baird et al ., 2011; Lau Antonio et al ., 2007).…”

“…First, this study examines the direct effect of quality-oriented product design on operational performance. While a great deal of compelling evidence reveals that quality-oriented product design has a positive effect on performance (Abbas, 2020;Baird et al, 2011;Flynn et al, 1995;Gotzamani and Tsiotras, 2001;Kang et al, 2022;O'Neill et al, 2016), counter-evidence also exists. For example, Li et al (2018) claim that there is a negative relationship between quality management practices and innovation performance for Chinese manufacturing firms.…”

Stacking Machine Learning Model for the Assessment of R&D Product’s Readiness and Method for Its Cost Estimation

“…• to explore the strategic entanglements of financial models for managing R&D and building a firm's competitiveness [15]; • to investigate the relationship between manufacturing-R&D integration and organizational culture in improving quality and product development performance [16]; • to obtain fitter decisions concerning risk reduction and further assist them in reaching higher performances in R&D partnership risk management [17].…”