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Technology assessment: Enabling Blockchain in hospitality and tourism sectors
Technological Forecasting and Social Change ( IF 12.9 ) Pub Date : 2021-05-03 , DOI: 10.1016/j.techfore.2021.120810
Mahak Sharma , Rajat Sehrawat , Tugrul Daim , Amir Shaygan

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.



中文翻译:

技术评估:在酒店和旅游业中启用区块链

旅游和酒店业不平等的环境要求无懈可击的破坏性技术来优化其运营效率。因此,本文旨在探索在不同条件下为消费者带来利益的区块链技术的本质。学术和新闻文章以及随后的行业专家访谈都被用来探索酒店和旅游业(HTS)的区块链技术(BCT)的性质。提出了一种混合研究方法来研究因素的重要性,其层次模型以及因果关系。35对来自印度(N = 17)和荷兰(N = 18)两个地区的酒店和旅游公司的员工进行了采访。在下一步中 专家意见是使用层次分析法-解释性结构建模-决策试验和评估实验室(AHP-ISM-DEMATEL)技术收集的。通过考虑障碍和驱动因素对采用BCT的影响,从而使HTS受益,采用了前瞻性方法。结果表明,“低成本”和“风险管理”是主要驱动因素,在印度和荷兰的驱动力分别为1和10。它们位于I和VI层次结构级别,并归入因果组。在印度和荷兰,“缺乏政府监管/政策”和“市场不确定性”分别是驱动力9和10的主要障碍。它们被置于V和III层次级别,并归入因果组。

更新日期:2021-05-03
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