大数据

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政府旅游数据开放的评价指标体系构建与组态分析:基于21个省级行政区的数据

胡安安1,2  郭梦珂2  黄丽华2,3    黄荔桐1   

  1. 1. 复旦大学旅游学系,上海  200433;
    2. 复旦大学电子商务研究中心,上海  200433
    3. 复旦大学管理学院信息管理与商业智能系,上海  200433
  • 作者简介:胡安安,男,1980年1月生,博士,复旦大学旅游学系副教授、硕士生导师,复旦大学电子商务研究中心研究员,主要研究领域为老年人信息技术应用、旅游数据开放与治理,Email: huanan@fudan.edu.cn; 郭梦珂,女,1991年8月生,硕士,复旦大学电子商务研究研究中心研究员,主要研究领域为数据要素治理;黄丽华,女,1965年12月生,博士,复旦大学管理学院信息管理与商业智能系教授、博士生导师,复旦大学电子商务研究中心主任,大数据流通与交易技术国家工程实验室常务副主任,国务院学位委员会管理科学与工程学科评议组成员,上海市信息化专家委员会成员,主要研究领域为数据资产与数据要素治理、大数据流通与交易;黄荔桐,女,1996年12月生,复旦大学旅游学系硕士研究生,主要研究领域为旅游数据开放。

Research on the evaluation index system of government tourism data opening:based on the data of 21 provincial administrative regions#br#
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HU An-an1,2, GUO Mengke2, HUANG Lihua2,3, HUANG Litong1   

  1. 1.The Department of Tourism, Fudan University, Shanghai, CHINA, 200433;
    2. E-commerce Research Center of Fudan University, Fudan University, CHINA, 200433;
    3. The Department of Information Management and Business Intelligence, Fudan University, CHINA, 200433

摘要: 在信息时代和智慧旅游背景下,政府主动对外开放内部的旅游数据,有利于充分释放旅游数据资源的商业价值与社会价值。使用变异系数法与熵权法进行组合赋权,构建了政府旅游数据开放评价指标体系,计算21个省级行政区的具体得分,并采用模糊集定性比较方法进行高评价值与低评价值条件组态分析。结果表明:指标体系包含4项一级指标、17项二级指标与51项三级指标,可以对当前省级行政区的旅游数据开放绩效进行有效评价;利用层、数据层是权重较高的一级指标,法律政策效率与内容、平台关系等是权重较高的二级指标;高评价值组态为综合发展型、数据辅助应用型,低评价值组态为政策与利用短板型、平台与数据问题型。研究结果可以为旅游数据开放评价相关学术研究与管理实践提供参考。

关键词: 旅游数据, 数据资源, 数据开放, 信息构建, 评价体系, 组态分析

Abstract: In the context of the information age and smart tourism, the government's initiative to open up internal tourism data is conducive to releasing the commercial and social value of tourism data resources. This paper used the coefficient of variation method and the entropy weight method for combined weighting, constructed an evaluation index system for government tourism data opening, calculated the scores of 21 provincial administrative regions, and used fsQCA to compare high and low evaluation values with configuration analysis. The results showed that the index system included 4 first-level indicators, 17 second-level indicators and 51 third-level indicators, which effectively evaluated the performance of tourism data opening in provincial administrative regions; the utilization layer and data layer were the first-level indicators with higher weights, legal policy efficiency, content, platform relationship, etc. were second-level indicators with higher weights; high evaluation values were configured as comprehensive development type and data-assisted application type, and low evaluation values were configured as insufficient policy & utilization type and platform & data problem type. The research results are helpful to provide a reference prototype for the research and practice of tourism data opening evaluation.

Key words: travel data, data resource, data openness, information construction, evaluation system, configuration analysis

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