Organizational diffusion of integrated product development: determinants and performance consequences

Boyle, Todd

doi:10.22215/etd/2004-05697

Cited by 3 publications

(4 citation statements)

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“…Generally, a rule of thumb is that RMSEA # 0.05 indicates a close approximate fit, values between 0.05 and 0.08 suggest reasonable error of approximation and RMSEA . 0.10 suggests a poor fit (Brown and Cudeck, 1993). Other additional goodness-of-fit indices -the NFI ¼ 0:98, the NNFI ¼ 0:99, the GFI ¼ 0:99, the AGFI ¼ 0:91, and the CFI ¼ 0:99 which all represents a good fit…”

Section: Supply Chain Flexibility Path Modelmentioning

confidence: 99%

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An empirical study of the relationships among strategy, flexibility, and performance in the supply chain context

Fantazy

Kumar

2009

Supply Chain Management: An International Journal

135

136

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PurposeThe purpose of this research is to examine the relationships among strategy, flexibility, and performance in the supply chain context.Design/methodology/approachThe research is based on a quantitative approach using a questionnaire survey and personal interviews from a total of 175 small and medium‐sized Canadian manufacturing companies. The identified constructs have been utilized to test a theoretical model using the path analysis technique.FindingsFirst, the findings provide evidence of direct effects of strategy on flexibility and flexibility on performance. Second, innovative strategy firms must invest time and resources in developing new product and delivery flexibility; while customer‐oriented strategy firms are required to invest heavily in developing sourcing, product, and delivery flexibility and follower strategy firms need no investment in any specific type of flexibility. Third, results demonstrated that Canadian manufacturers must reconsider how they use information technology to enhance information systems flexibility and improve overall performance.Research limitations/implicationsThe measures of flexibility and strategy dimensions used to rate the supply chain organizations are a possible limitation of the research study.Practical implicationsManagers need to think seriously about which type of flexibility they implement and that they should not increase all dimensions of flexibility in their power; some dimensions of flexibility may not significantly contribute to the overall performance. Considering that small and medium‐sized enterprises have limited resources, it is important for managers to carefully assess their strategic needs before getting involved in any flexibility program; otherwise the result can be competitively negative.Originality/valueNo empirical study was found in the supply chain literature that specifically investigates the relationships among strategy, flexibility and performance in the supply chain context; the paper fills an important gap in the supply chain literature.

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Section: Supply Chain Flexibility Path Modelmentioning

confidence: 99%

“…All of the measurements in this study have Cronbach alpha values that met the minimum criterion alpha value of 0.60. As a result of the good internal consistency of the majority of the latent variables their means can be used to produce uni‐dimensional variables (Boyle, 2004).…”

Section: Supply Chain Flexibility Path Modelmentioning

confidence: 99%

An empirical study of the relationships among strategy, flexibility, and performance in the supply chain context

Fantazy

Kumar

2009

Supply Chain Management: An International Journal

135

136

View full text Add to dashboard Cite

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“…However, before applying path analysis to the research model, tests of internal consistency are needed. If the manifest variables of a latent variable are internally consistent then the latent variable will be treated as uni-dimensional by calculating the arithmetic mean of the manifest variables (Lynn, 2000, Boyle, 2004. However, if the manifest variables of a latent variable are not internally consistent then each manifest variable will enter into the path model.…”

Section: Model Testingmentioning

confidence: 99%

An empirical study of the relationships among strategy, flexibility, and performance in the supply chain context : a path analysis approach

Fantazy¹

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“…According to Pawar and Driva (1996), CE implementation is not without its problems. Boyle (2003) summarized some of the impediments to the diffusion of integrated product development and innovation that are relevant to CE.…”

Section: -Frequently Used Ce Practicesmentioning

confidence: 99%

Concurrent engineering practices that reduce new product development cycle time for incremental and radical innovation

Saryeddine¹

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This manuscript has been reproduced from the microfilm master. UMI films the text directly from the original or copy submitted. Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type of computer printer. The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleedthrough, substandard margins, and improper alignment can adversely affect reproduction. In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion. Oversize materials (e.g., maps, drawings, charts) are reproduced by sectioning the original, beginning at the upper left-hand comer and continuing from left to right in equal sections with small overlaps.

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Organizational diffusion of integrated product development: determinants and performance consequences

Cited by 3 publications

References 0 publications

An empirical study of the relationships among strategy, flexibility, and performance in the supply chain context

An empirical study of the relationships among strategy, flexibility, and performance in the supply chain context

An empirical study of the relationships among strategy, flexibility, and performance in the supply chain context : a path analysis approach

Concurrent engineering practices that reduce new product development cycle time for incremental and radical innovation

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