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Modelling critical elements of selection for strategic alliance partner for network managed services using interpretive structural modelling (ISM)

机译:使用解释性结构建模(ISM)为网络管理服务的战略联盟合作伙伴选择的关键要素建模

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Purpose - The aim of this paper is to investigate and model the issue of selection of strategic alliance partner for managing and implementation of an operations and maintenance centre for a large telecom service provider under a managed services contract. The alliance shall enhance capabilities of the telecom value chain. Design/methodology/approach - Experts of the domain participated in a brainstorming session to list out the key elements, followed by series of individual interviews. Key insights were finally obtained by developing an interpretive structural modelling (ISM) model for the set of elements so obtained. Findings - This paper illustrates the development of an ISM model for the evaluation of a strategic alliance partner in telecom operator space. Further, key elements of the model are classified into four categories, namely autonomous, driver, dependent, and linkage. This classification helps to understand their relative impact on the selection process. Practical implications - Telecom service providers may benefit from the findings and insights presented and they may be used to enhance their ability to engage, manage, monitor and evaluate a strategic alliance partner for managed services business practice. Originality/value - Key issues related to network managed services with perspective of progressive telecom players are discussed and interconnection of critical elements is understood. Work will be of interest to practitioners and research scholars.
机译:目的-本文的目的是调查和建模在管理服务合同下为大型电信服务提供商管理和实施运营和维护中心的战略联盟合作伙伴选择问题。联盟将增强电信价值链的能力。设计/方法/方法-该领域的专家参加了集思广益的会议,列出了关键要素,然后进行了一系列的个人访谈。通过为这样获得的元素集开发解释性结构建模(ISM)模型,最终获得了关键见解。调查结果-本文说明了ISM模型的开发,该模型用于评估电信运营商领域的战略联盟合作伙伴。此外,模型的关键元素分为四类,即自治,驱动程序,从属和链接。此分类有助于了解它们对选择过程的相对影响。实际意义-电信服务提供商可能会从发现的发现和见解中受益,并且可以被用来增强其参与,管理,监控和评估战略联盟合作伙伴进行托管服务业务实践的能力。原创性/价值-从渐进式电信运营商的角度讨论与网络管理服务相关的关键问题,并理解关键要素的互连。从业人员和研究学者将对工作感兴趣。

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