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Managing quality in outsourcing of high-end services: a conceptual model

机译:管理高端服务外包中的质量:概念模型

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As the nature of outsourced services changes from routine to high-end tasks, new challenges in managing service quality emerge for service providers. While several frameworks exist for measuring and monitoring quality for traditional services, their applicability in the context of high-end tasks merits attention. Moreover, the changing nature of outsourced services also generates the need to identify the factors that affect service quality. This article presents a unique combination of the SERVQUAL model and e-Sourcing Capability Maturity framework to explore the antecedents of service gaps. The research is based on a qualitative study carried out on data collected from senior managers from various Indian service providers using interviews and semi-structured questionnaires. In line with TQM's integrative philosophy of continuous improvement, the article goes on to address the issue of continuous improvement by utilising knowledge inherent in non-numeric operational data generated during service delivery. The conceptual model of a self-learning system which can be used for creating quality-related knowledge from operational data is proposed. It is further argued that though different scenarios would need to be addressed independently, the generality of the principles of application of the overall conceptual framework and its implementation processes can be attempted with significant success.View full textDownload full textKeywordsoutsourcing, service quality, artificial intelligence, knowledge management, high-end servicesRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; var addthis_config = {"data_track_addressbar":true,"ui_click":true}; Add to shortlist Link Permalink http://dx.doi.org/10.1080/14783363.2012.733267
机译:随着外包服务的性质从例行任务变为高端任务,服务提供商在管理服务质量方面面临着新的挑战。虽然存在一些用于衡量和监视传统服务质量的框架,但它们在高端任务中的适用性值得关注。而且,外包服务性质的变化也导致需要确定影响服务质量的因素。本文提出了SERVQUAL模型和e-Sourcing能力成熟度框架的独特组合,以探索服务差距的前因。该研究基于定性研究,该研究使用访谈和半结构化问卷调查从印度多家服务提供商的高级管理人员那里收集的数据进行。与TQM的持续改进集成哲学相一致,本文继续利用服务提供过程中生成的非数字操作数据中固有的知识来解决持续改进的问题。提出了可用于从运营数据中创建与质量相关的知识的自学系统的概念模型。进一步认为,尽管需要分别解决不同的情况,但是可以尝试在总体概念框架及其实施过程中应用原则的普遍性,并取得巨大的成功。查看全文下载全文关键字外包,服务质量,人工智能,知识管理,高端服务相关var addthis_config = {ui_cobrand:“泰勒和弗朗西斯在线”,servicescompact:“ citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,更多”,发布:“ ra -4dff56cd6bb1830b“}; var addthis_config = {“ data_track_addressbar”:true,“ ui_click”:true};添加到候选列表链接永久链接http://dx.doi.org/10.1080/14783363.2012.733267

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