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首页> 外文期刊>European journal of marketing >Forecast competitor service strategy with service taxonomy and CI data
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Forecast competitor service strategy with service taxonomy and CI data

机译：使用服务分类和CI数据预测竞争对手的服务策略

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Purpose - The paper aims to develop a service taxonomy model and a mathematical process to forecast a competitor's service business strategy in a multiple service business context by inputting CI data such as the profits of existing core services. Design/methodology/approach - A qualitative method of literature review is adopted to build a service taxonomy model and form two propositions. Based on the multiple business process integration concept of the resource based view, a mathematical process constituted by service modules and weights is developed. Salient components of the competitor's service business are identified to forecast the competitor's service business strategy after utilizing optimization heuristics of 80/20 and large number rules. Findings - The model is able not only to forecast a competitor's service business strategy, but can also help develop the firm's own new service strategy. The resources of the firm can then be realigned to counteract the competitor's strategy. Research limitations/implications - The developed model is mainly applicable to service businesses. The collection and use of CI data must consider ethical issues, which might limit the sources of data. Practical implications - To forecast a competitor's strategy correctly , good quality CI practice is necessary. Experienced people in the CI department are critical to the production of good quality forecasts. Originality/value - The contribution to CI impact studies is that the mathematical forecasting process is developed based on qualitative service taxonomical research. Key elements of the service process are identified as salient elements, which serve as the main focusing points in forecasting competitors' strategy.
机译：目的-本文旨在通过输入诸如现有核心服务利润之类的CI数据来开发服务分类法模型和数学过程，以在多服务业务环境中预测竞争对手的服务业务战略。设计/方法/方法-采用文献回顾的定性方法来建立服务分类法模型并形成两个命题。基于基于资源的视图的多业务流程集成概念，开发了由服务模块和权重构成的数学流程。利用80/20的优化试探法和大量规则，确定竞争对手服务业务的重要组成部分，以预测竞争对手的服务业务策略。调查结果-该模型不仅可以预测竞争对手的服务业务战略，而且还可以帮助开发公司自己的新服务战略。然后可以调整公司的资源以抵消竞争对手的战略。研究局限/意义-所开发的模型主要适用于服务企业。 CI数据的收集和使用必须考虑道德问题，这可能会限制数据来源。实际意义-为了正确预测竞争对手的策略，必须具有良好的CI实践质量。 CI部门经验丰富的人员对于产生高质量的预测至关重要。原创性/价值-对CI影响研究的贡献在于，数学预测过程是基于定性服务分类学研究开发的。服务过程的关键要素被确定为突出要素，这是预测竞争对手战略的主要重点。

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