款待
大数据
数据治理
公司治理
旅游
独创性
业务
利益相关者
价值(数学)
商业道德
公共关系
知识管理
营销
社会学
政治学
数据质量
服务(商务)
定性研究
计算机科学
社会科学
财务
机器学习
法学
操作系统
作者
Anca C. Yallop,Oana Adriana Gică,Ovidiu Ioan Moisescu,Monica Maria Coroș,Hugues Séraphin
出处
期刊:Journal of Consumer Marketing
[Emerald (MCB UP)]
日期:2021-09-02
卷期号:40 (2): 155-170
被引量:35
标识
DOI:10.1108/jcm-12-2020-4278
摘要
Purpose Big data and analytics are being increasingly used by tourism and hospitality organisations (THOs) to provide insights and to inform critical business decisions. Particularly in times of crisis and uncertainty data analytics supports THOs to acquire the knowledge needed to ensure business continuity and the rebuild of tourism and hospitality sectors. Despite being recognised as an important source of value creation, big data and digital technologies raise ethical, privacy and security concerns. This paper aims to suggest a framework for ethical data management in tourism and hospitality designed to facilitate and promote effective data governance practices. Design/methodology/approach The paper adopts an organisational and stakeholder perspective through a scoping review of the literature to provide an overview of an under-researched topic and to guide further research in data ethics and data governance. Findings The proposed framework integrates an ethical-based approach which expands beyond mere compliance with privacy and protection laws, to include other critical facets regarding privacy and ethics, an equitable exchange of travellers’ data and THOs ability to demonstrate a social license to operate by building trusting relationships with stakeholders. Originality/value This study represents one of the first studies to consider the development of an ethical data framework for THOs, as a platform for further refinements in future conceptual and empirical research of such data governance frameworks. It contributes to the advancement of the body of knowledge in data ethics and data governance in tourism and hospitality and other industries and it is also beneficial to practitioners, as organisations may use it as a guide in data governance practices.
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