基于IMADM模型的消费者采用智能医疗服务的影响因素系统

发布时间：2022-02-10 20:08

　　在过去的几十年中,物联网医疗保健（loTH）的发展给医疗保健领域带来了巨大进步。loTH的先发制人,基于场景且易于访问的特点改进了传统的药物系统,并在患者和医护人员中引发了巨大的吸引力。loTH通过给在家或偏远地区的患者提供便利,极大地缓解了当前医疗资源短缺和分布不均的情况。但是随着市场的发展,消费者面对具有不同功能和特性的智能医疗保健服务时,选择合适的服务变得非常困难。业界最近面临的一个主要问题是如何鼓励推行智能医疗服务,并让顾客采纳。这项研究的主要目标是利用所提出的模型,来指导智能医疗服务提供商优化服务和营销策略。本文基于IMADM模型,构建了消费者采用智能医疗服务的影响因素系统。该模型采用决策与评估实验室（DEMATEL）流程、DEMATEL分析网络（DANP）方法和改进的VIseKriterijumska Optimizacija I Kompromisno Resenje（VIKOR）方法相结合的改进 MADM 模型,讨论了促进智能医疗系统技术采用的标准/维度之间的相互依赖和反馈效应、最优替代选择以及系统修改。最后,本文在实证研究的基础上对提出的模型进行了评估,并进行了综合评... 

【文章来源】：西南科技大学四川省

【文章页数】：84 页

【学位级别】：硕士

【文章目录】：
摘要
Abstract
Chapter 1 Introduction
    1.1 Raising Research Questions
        1.1.1 Research Background
        1.1.2 Research Purpose
        1.1.3 Research Significance
    1.2 Status of research
        1.2.1 Research on Intelligent Medicine
        1.2.2 Research on Smart Healthcare Services
        1.2.3 Research on Consumer Adoption of Smart Healthcare Services
        1.2.4 Review of Research Status
    1.3 Research content and structural arrangement
        1.3.1 Research content
        1.3.2 Structural Arrangement
    1.4 Research methods and technical routes
        1.4.1 Research methods
        1.4.2 Technical Route
Chapter 2 Defining Factors Influencing Consumers' Adoption of Smart Healthcare Services
    2.1 Analysis of the Connotation and Characteristics of Smart Healthcare Services
        2.1.1 Connotation of smart healthcare services
        2.1.2 Features of Smart Healthcare Services
    2.2 Analysis of consumer adoption
        2.2.1 Consumer purchase decision process
        2.2.2 Analysis of Consumer Adoption Behavior Based on UTAUT
    2.3 Identification of influencing factors for consumer adoption of smart healthcare services
        2.3.1 Construction of first-level indicators of influencing factors
        2.3.2 Construction of secondary indicators of influencing factors
    2.4 Survey
    2.5 Summary of this chapter
Chapter 3 Consumers Adoption of Smart Healthcare Services Evaluation Model Based on Improved MADM
    3.1 Traditional model drawbacks
    3.2 Modification in Traditional MADM Model
    3.3 Methodology of Proposed System
        3.3.1 Questionnaire design
        3.3.2 DEMATEL-DANP-based interactions and weights of influencing factors
            3.3.2.1 Impact Network Diagram Construction
            3.3.2.2 Determination of weights of key influencing factors
        3.3.3 Evaluation of intelligent healthcare services based on improved VIKOR method
        3.3.4 MATLAB Code for VIKOR algorithm
Chapter 4 Model Inspection and Empirical Analysis
    4.1 Pragmatic Case Study for Consumer Adoption of Smart Healthcare Services based on IMADM
    4.2 Proposed System Result Analysis
        4.2.1 Data sources and collection
        4.2.2 Identify key influencing factors
        4.2.3 Identify the interactions of key influencing factors
        4.2.4 Construction of INRM between Dimensions and Factors
        4.2.5 Key influence factors weights calculation
        4.2.6 Gap rates Identification in Smart Healthcare Services
    4.3 Traditional vs Proposed VIKOR method analysis
    4.4 Discussions and Consequences
    4.5 Consumer Adoption and Marketing Recommendations for Smart Healthcare Services
Conclusion and Remarks
Acknowledgements
Dedication
Bibliography
Appendix Ⅰ Identification Questionnaire for Influencing Factors of Consumer Adoption in Smart Healthcare Services
Appendix Ⅱ Factors affecting consumer adoption of smart healthcare services Interaction identification questionnaire


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