信息服务

专利信息服务平台功能的Kano模型分析

  • 初彦伯 ,
  • 王 萍 ,
  • 李佳恒 ,
  • 李依凝
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  • 吉林大学商学与管理学院 长春 130012
初彦伯,男,1996年生,吉林大学商学与管理学院博士研究生。 王 萍,女,1965年生,吉林大学商学与管理学院教授,博士生导师(通讯作者)。 李佳恒,男,1994年生,吉林大学商学与管理学院博士研究生。 李依凝,女,1998年生,吉林大学商学与管理学院硕士研究生。

网络出版日期: 2022-09-14

Kano Model Analysis of Patent Information Service Platform Function

  • Chu Yanbo ,
  • Wang Ping ,
  • Li Jiaheng ,
  • Li Yining
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  • School of Business and Management, Jilin University, Changchun,130012

Online published: 2022-09-14

摘要

[目的/意义]鉴于现存专利信息服务平台功能各相迥异,平台功能模块的开发成本较高且与用户实际利用 率较低的不对等现象,文章着眼于专利信息用户心理满意度及敏感度两方面,试图以用户心理期望与系统平台功 能实现精准匹配,提炼显性功能需求并挖掘隐性功能需求,以期为专利信息系统开发机构或系统平台相关功能升 级方向提供参考。[方法/过程]基于改进Kano模型及五个计算指标,采用混合类、敏感度及综合分析测度方法,从 用户心理层的满意度及敏感度挖掘隐性需求侧重点。[结果/结论]实时专利数据追踪监测、多元化检索方式、专利 文献计量、引文分析、信息组织条理性五项需求为基本型需求;期望型需求包括提供同族专利利用信息、专利许可 信息、数据清洗功能、数据加工功能四项;魅力型需求为专利信息文本挖掘及领域技术地图两项;所有指标中,领 域技术地图要素为最敏感指标,极易影响用户满意度。

本文引用格式

初彦伯 , 王 萍 , 李佳恒 , 李依凝 . 专利信息服务平台功能的Kano模型分析[J]. 情报资料工作, 2022 , 43(5) : 71 -80 . DOI: 10.12154/j.qbzlgz.2022.05.008

Abstract

[Purpose/significance] In view of the various functions of the existing patent information service platforms and the gap between the high development cost for platform function and low utilization. From the perspective of patent information users’psychological satisfaction and sensitivity, the paper is aimed at the precise match of users’psycho? logical expectations and functions of the system platform, the extraction of explicit functional requirements and explora? tion of implicit functional requirements. Thus, the paper could provide implications for patent information system re? search organizations as well as the future directions of system platform function upgrade. [Method/process] Based on the improved Kano model and five indicators, using the measurement methods of mixed-class, sensitivity and compre? hensive analysis, the paper explores the focus of implicit requirements from users’psychological satisfaction and sensi? tivity. [Result/conclusion] The basic requirements include real- time patent data monitoring, diversified retrieval methods, patent bibliometrics, citation analysis, and information organization; the expected requirements include the provision of patent family utilization information, patent licensing information, data cleaning and data processing func? tion; the attractive requirements are patent information text mining and technology roadmap. The technology roadmap is the most sensitive index among all the indicators, affecting user satisfaction easily.
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