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A knowledge-based exploratory framework to study quality of Italian mobile telecommunication services

机译:基于知识的探索框架,用于学习意大利移动电信服务的质量

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摘要

A novel two-step knowledge-based exploratory framework is proposed in this paper for studying quality of Italian mobile telecommunication services (MTSs). Particularly, the Delphi technique is initially considered to finalize an overall quality structure of MTSs features, indicators and drivers, herein described on the basis of a comprehensive review of the fundamental references for the field, and also to select the key elements with reference to the Italian context. At the second step, selected key elements are prioritized via the analytic hierarchical process method according to viewpoints of the fundamental stakeholders for the sector. Furthermore, possible uncertainty and ambiguity of involved experts at this step of the study are addressed via a linguistic comparison scale represented by fuzzy numbers. Results of the first step revealed that the quality structure of Italian MTSs includes 15 key indicators with reference to four key MTSs quality features and seven key drivers. On the other hand, results of the second step pointed out that tangible aspects represents the fundamental key MTSs quality feature, whereas network population coverage, price of data services, and internet network performance represent the crucial key indicators. In addition, technological resources and technological innovation as well as informational resources constitute the most important key quality drivers of Italian MTSs. Obtained results may be of interest for MTSs managers and decision makers as well researchers of the field offering important suggestions as to how to evaluate and improve quality of MTSs.
机译:本文提出了一种新的两步知识型探索框架,用于研究意大利移动电信服务的质量(MTSS)。特别地,德尔福技术最初被认为是基于对现场的基本参考的全面审查的基础上描述了MTSS特征,指标和驱动因素的整体质量结构,以及参考以下内容选择关键要素意大利背景。在第二步,根据该部门基本利益相关者的观点,通过分析层次处理方法优先考虑所选密钥元素。此外,通过模糊数表示的语言比较刻度来解决该研究步骤中所涉及的专家的可能不确定性和歧义。第一步的结果显示,意大利MTSS的质量结构包括15个关键指标,参考四个关键的MTSS质量特征和七个关键驾驶员。另一方面,第二步的结果指出,有形方面代表了基本关键的MTSS质量特征,而网络人口覆盖,数据服务的价格和互联网网络性能代表了关键的关键指标。此外,技术资源和技术创新以及信息资源构成了意大利MTS的最重要的主要优质司机。获得的结果可能对MTSS经理和决策者感兴趣,以及该领域的研究人员提供了如何评估和改善MTSS质量的重要建议。

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