NEWS: 公告在东京证券交易所JASDAQ标准市场新上市

表纸
市场调查报告书

ServiceTrak:MR系统

ServiceTrak MR Systems

出版商 IMV Medical Information 商品编码 648711
出版日期 内容资讯 英文 200 Pages
商品交期: 最快1-2个工作天内
价格
如有价格方面的疑问请按下「询问」键来信查询
ServiceTrak:MR系统 ServiceTrak MR Systems
出版日期: 2018年01月01日内容资讯: 英文 200 Pages
简介

本报告提供MR系统产品销售·服务相关评估调查,汇整顾客对主要制造商的满意度,主要企业分析,40以上个项目相关制造商等级及排行榜,等级的主要影响因素分析等资料。

等级

  • 每个项目的行业平均等级
  • 每个项目的制造商特定平均等级
  • 等级从非常差到优秀
  • 「非常满意」回答的比例
  • 制造商趋势资料
  • 自由回答式的受访者评论

使用二项Logistic回归进行统计分析,以确定影响等级的关键推动因素

  • 回购的可能性
  • 整体制造商表现
  • 整体系统性能
  • 整体销售人员绩效
  • 整体服务表现

服务效能:以下项目为焦点的详细分析

  • 电话·远隔支援
  • 服务工程师
  • 服务反应时间

调查结果:其他分类项目

  • 各制造商的主要设备模式别
  • 各地区
目录

The 2017 ServiceTrak Imaging MR Systems report starts with an overview of customer satisfaction between the major manufacturers in the industry. This is followed by individual company analyses, where each manufacturer’s ratings and rankings on over 40 different attributes are trended over the last five semi-annual periods. All ratings for ServiceTrak are collected through personal telephone interviews with imaging professionals. Most ratings are on a scale of 1 to 10, where 1=Very Poor and 10=Excellent. Subscribers to the ServiceTrak report receive unbiased evaluations of industry-wide performance, allowing comparisons between the major manufacturers in the industry.

Each ServiceTrak Imaging report contains extensive data with the following features:

Ratings:

  • Industry Average ratings for each attribute
  • Manufacturer-specific average ratings for each attribute
  • Distribution of ratings from Very Poor to Excellent
  • Percent Highly Satisfied responses for all rating attributes
  • Manufacturer Trend data over last 9 semi-annual periods
  • Open-ended Respondent comments

Statistical analysis using binomial logistic regression to identify the Key Drivers impacting ratings for:

  • Probability of Repurchase
  • Overall Manufacturer Performance
  • Overall System Performance
  • Overall Sales Personnel Performance
  • Overall Service Performance

Service Performance is examined in detail by focusing on:

  • Phone and Remote Support
  • Service Engineers
  • Service Response Times

Additional segmentation of the results by:

  • Major instrument models for each manufacturer, where applicable
  • Geographic Region