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首页> 外文期刊>The Journal of Business & Industrial Marketing >Factor influencing flexibility in new product development: empirical evidence from Indian manufacturing firms
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Factor influencing flexibility in new product development: empirical evidence from Indian manufacturing firms

机译:影响新产品开发灵活性的因素:印度制造公司的经验证据

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Purpose A significant amount of work has been done on new product development (NPD); however, studies on the flexibility aspect in NPD are scant. This study aims to investigate the relationship between NPD flexibility and five infrastructural factors, namely, marketing and manufacturing integration practices (MMIPs), advanced human resource practices (AHRPs), supplier integration practices (SIPs), operational improvement practices (OIPs) and advanced manufacturing technologies (AMTs). Design/methodology/approach The study applies a questionnaire-based survey approach to examine the proposed relationships between different variables and NPD flexibility. Using a 39-item questionnaire, 262 valid and usable responses were collected from Indian manufacturing firms. Data were analysed using principal component analysis and confirmatory factor analysis. Further, structural equation modelling was applied to examine the contribution of different infrastructural factors to NPD flexibility. Findings In light of the empirical evidence produced in this study, the study suggests that MMIPs, AHRPs, SIPs, OIPs and AMTs have a direct, positive and significant influence on NPD flexibility. Among all the predictors, SIPs are the strongest predictor of NPD flexibility, followed by OIPs and AMTs. Originality/value Unlike earlier studies that provide limited empirical evidence on NPD flexibility and deal with the concept in isolation, this empirical study applies a systematic approach to understand factors influencing NPD flexibility.
机译:目的已经在新产品开发(NPD)上完成了大量工作;然而,对NPD中灵活性方面的研究是狭窄的。本研究旨在调查NPD灵活性与五个基础设施因素之间的关系,即营销和制造集成实践(MMIPS),高级人力资源实践(AHRP),供应商集成实践(SIPS),运营改进实践(OIPS)和先进制造技术(AMTS)。设计/方法/方法研究采用基于问卷的调查方法来检查不同变量和NPD灵活性之间的提出关系。使用39项问卷,从印度制造公司收集262项有效和可用的响应。使用主成分分析和确认因子分析分析数据。此外,应用了结构方程建模,以检查不同基础设施因素对NPD灵活性的贡献。研究表明,该研究表明,MMIPS,AHRP,啜饮,OIPS和AMTs对NPD灵活性的直接影响和显着影响。在所有预测因子中,SIPS是NPD灵活性最强的预测因子,其次是OIFS和AMT。原创性/价值与早期的研究不同,提供有限的实证证据,以对NPD灵活性提供有限的经验证据,并以孤立的概念处理概念,本实证研究适用于理解影响NPD灵活性的因素的系统方法。

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