2009
DOI: 10.1080/00207540903234751
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The responsiveness of Italian small-to-medium sized plants: dimensions and determinants

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Cited by 20 publications
(10 citation statements)
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“…Resources limitation, competition, and functional structure were also influential barriers to BIM adoption in SMEs [38]. Grounded in a quantitative study performed on more than 200 manufacturing plants, Belvedere et al found that SMEs cannot invest in the latest manufacturing practices and technologies that can improve their performance [41]. Meanwhile, Goodridge et al revealed that fragmentation, limited collaboration, and risk-averse attitude are partly the reasons why SMEs are in low levels of innovation capability [12].…”
Section: Factors and Stakeholders Related To Bim Adoption Inmentioning
confidence: 99%
“…Resources limitation, competition, and functional structure were also influential barriers to BIM adoption in SMEs [38]. Grounded in a quantitative study performed on more than 200 manufacturing plants, Belvedere et al found that SMEs cannot invest in the latest manufacturing practices and technologies that can improve their performance [41]. Meanwhile, Goodridge et al revealed that fragmentation, limited collaboration, and risk-averse attitude are partly the reasons why SMEs are in low levels of innovation capability [12].…”
Section: Factors and Stakeholders Related To Bim Adoption Inmentioning
confidence: 99%
“…SMEs are not miniaturised versions of large firms, in the same way that a caterpillar is not a small butterfly (Penrose, 1959). It is inappropriate to generalise from the findings on the literature on large firms to SMEs as there are several key differences between large firms and their smaller counterparts (Chen and Hambrick, 1995;Dollinger, 1984;Roy and Banerjee, 2012;Belvedere et al, 2010;Beck et al, 2005;Felzensztein and Gimmon, 2007;Nooteboom, 1994). Given these different characteristics, the purpose of this study is to investigate what drivers influence the formation of partnerships around specific business functions and how these partnerships, in turn, influence performance.…”
Section: Ijppm 674mentioning
confidence: 99%
“…The dimensions concern respectively the ability to renew the product range through the rapid introduction of new models, to modify the production volumes, and to quickly manufacture and deliver items. Responsiveness of a production system is influenced by different variables such as position of customer order decoupling point [11], set-up times [7], production resources and system design (equipment and workers) etc. [6], [12].…”
Section: Manufacturing Responsivenessmentioning
confidence: 99%
“…Nevertheless, to stay competitive, companies require delivering customized products rapidly and cost-effectively [6], and this responsiveness is considered as a key challenge for future manufacturing. Interestingly, a recent survey ( [7]) found that Small and Medium-sized Enterprises (SMEs) in Italy are more responsive than large enterprises, claiming that they are capable to deliver faster because they manufacture and assemble items very quickly. Notwithstanding the findings, there is still little empirical evidence to clarify how SMEs are actually adapting to provide quick response to a changing demand.…”
Section: Introductionmentioning
confidence: 99%