首页> 外文期刊>Technological forecasting and social change >Technology assessment: Enabling Blockchain in hospitality and tourism sectors
【24h】

Technology assessment: Enabling Blockchain in hospitality and tourism sectors

机译:技术评估:在酒店和旅游部门启用区块链

获取原文
获取原文并翻译 | 示例
           

摘要

The tourism and hospitality sector's inequitable environment demands an unassailable and disruptive technology that optimizes its operational efficiencies. Thus, this paper aims to explore the nature of blockchain technology under varying conditions for consumer benefits. Academic and press articles followed by interviews from industry experts were used to explore the nature of blockchain technology (BCT) for the hospitality and tourism sector (HTS). A hybrid research methodology is proposed to investigate the criticality of factors, their hierarchical model, and cause & effect relationships. 35 Employees from two geographies, namely India (N=17) and Netherlands (N=18) in hospitality and tourism firms, were interviewed. In the next step, the expert opinions were collected using the Analytic hierarchy process Interpretive Structural Modeling-Decision-making trial and evaluation laboratory (AHP-ISM-DEMATEL) technique. A forward-looking approach was adopted by considering the implications of barriers and drivers on the adoption of BCT and thereby benefiting HTS. The results suggest that 'low cost' and 'risk management' are the key drivers with driving power of 1 and 10 in Indian and the Netherlands, respectively. They are placed at I and VI hierarchy levels and fall under the cause effect group. 'Lack of Government Regulation/ Policy' and 'Market Uncertainty' are the critical barriers with driving power 9 and 10 in the Indian and Netherlands context, respectively. They are placed at V and III hierarchy levels and fall under the cause effect group.
机译:旅游和酒店部门的不公平环境要求不可用和颠覆性的技术,可优化其运营效率。因此,本文旨在探讨区间块技术在不同条件下的消费者益处。学术和新闻文章随后采用行业专家的访谈,旨在探索区块链技术(BCT)的热情好客和旅游部门(HTS)。提出了一种混合研究方法来调查因素,分层模型和原因关系的关键性。从两个地理位置,即印度(N = 17)和酒店和旅游公司的荷兰(N = 18),接受了35名员工进行了采访。在下一步中,使用分析层次过程解释结构建模决策决策和评估实验室(AHP-ISM-DEMATEL)技术收集专家意见。通过考虑障碍和司机对采用BCT的影响,从而采用前瞻性的方法,从而受益HTS。结果表明,“低成本”和“风险管理”是印度和荷兰的推动力为1和10的关键驱动因素。它们被放置在I和VI等级水平,并落在原因效果组下。 “缺乏政府监管/政策”和“市场不确定性”是印度和荷兰背景中推动电力9和10的关键障碍。它们被放置在V和III层次水平,并落在原因效果组下。

著录项

  • 来源
    《Technological forecasting and social change》 |2021年第8期|120810.1-120810.17|共17页
  • 作者单位

    NITIE Natl Inst Ind Engn Mumbai Maharashtra India;

    Booking Com Headquarters Herengracht 597 NL-1017 CE Amsterdam Netherlands;

    Portland State Univ Portland OR 97207 USA;

    Portland State Univ Portland OR 97207 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号