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Analysis of preferred customer enablers from supplier's perspective

机译:从供应商的角度分析首选客户促成因素

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Purpose - The purpose of this paper is to identify, rank, classify and establish the structural relationships between the preferred customer enablers (PCEs). This analysis would assist a manufacturer in selectively exercising the PCEs and effectively run-through the concept of reverse marketing in the buyer-supplier relationships. Design/methodology/approach - In the current study, the interpretive structure modelling and Fuzzy Matriced' Impacts Croises Appliquee a un Classement methods are used to analyze and structurally relate the PCEs for Indian automotive component manufacturing industry. Furthermore, the structural relationships among the PCEs were confirmed by applying a Student's t-test. Findings - The classification of PCEs through driver dependence diagrams, structural digraphs of PCEs and statistical significance of the relationships between the PCEs are the main outcomes of this study. Further, certain PCEs (under supplier interest and common interest domains) were recommended in the Indian manufacturing environment to broadly control and monitor for achieving the preferred customer status (PCS). Research limitations/implications - The current study provides certain basis for a manufacturer to selectively emphasize and monitor the right PCEs and in turn effectively achieve the PCS from its key suppliers. The findings from the current analysis are more applicable in the context of Indian automotive component manufacturing industry. Practical implications - The outcomes from the methodology would provide a basis for a manufacturer to develop the right strategies to become a preferred supply chain partner. Originality/value - Even though the concept of PCS or reverse marketing can make remarkable impact on the business practices, it has been an ignored topic of research and its practice has been passively prophesied. In this regard, the current study could be a worthy addition toward the practice of preferred customer concept.
机译:目的-本文的目的是确定,排序,分类和建立首选客户支持者(PCE)之间的结构关系。该分析将帮助制造商选择性地行使PCE,并有效地贯穿买卖双方之间反向营销的概念。设计/方法/方法-在当前的研究中,使用解释性结构建模和Fuzzy Matriced的Impacts Croises Appliquee un分类方法来分析和结构化印度汽车零部件制造行业的PCE。此外,通过应用学生t检验可以确认PCE之间的结构关系。研究结果-通过驾驶员依赖性图,PCE的结构图和PCE之间关系的统计意义对PCE进行分类是本研究的主要结果。此外,在印度的制造环境中,建议使用某些PCE(在供应商利益和共同利益范围内)来广泛控制和监视实现首选客户身份(PCS)。研究的局限性/含义-当前的研究为制造商选择性地强调和监视正确的PCE并进而从其主要供应商有效地实现PCS提供了一定的基础。当前分析的结果更适用于印度汽车零部件制造行业。实际意义-方法论的结果将为制造商制定正确的策略成为首选的供应链合作伙伴提供基础。原创性/价值-尽管PCS或反向营销的概念可以对业务实践产生显着影响,但它一直是研究的一个被忽略的话题,并且它的实践被被动地预言了。在这方面,当前的研究可能是对首选客户概念的实践的有价值的补充。

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