Augmenting hotel performance in Malaysia through big data analytics capability and artificial intelligence capability

IF 4.8 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Journal of Hospitality and Tourism Insights Pub Date : 2023-09-14 DOI:10.1108/jhti-01-2023-0017
Shumaila Naz, Syed Arslan Haider, Shabnam Khan, Qasim Ali Nisar, Shehnaz Tehseen
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引用次数: 1

Abstract

Purpose At the forefront of current research is the investigation of how big data analytics capability (BDAC) and artificial intelligence capability (AIC) can enhance performance in concert. Therefore, current study intended to conduct more deep research into emerging phenomena and attempts to cover the gap by exploring how entrepreneurial orientations (EO) emphasize the use of two emerging capabilities under the moderating role of environmental dynamism which in turn augment co-innovation and hotel performance. Design/methodology/approach Data were collected from four-star and five-star hotels located in Kula Lumpur and Langkawi in Malaysia. A total of 260 responses were obtained from IT staff and senior managers with the assistance of a Manpower agency for data analysis. The hypotheses were examined by analyzing the data using PLS-SEM technique through Smart PLS 3 software. Findings The result revealed that EO has a positive and significant effect on co-innovation (CIN). Additionally, the BDAC and AIC have been tested and proven to be potential mediators between EO and CIN. Also, environmental dynamism as moderator has positive and significant effect on BDAC and co-innovation performance, however, not significant impact on AIC and co-innovation performance. Lastly, findings displayed positive and significant moderated mediation impact of environmental dynamics on BDAC and CIN with hotel performance, but not significant influence on AIC and co-innovation with hotel performance. For theoretical corroboration of the research findings, the current study integrated EO, resource-based view theory and contingent dynamic capabilities (CDC), because neither single stance can explicate an extant research framework. Practical implications This study anticipated the several implications for the entrepreneurs of hospitality industry. Managers are recommended to invest in the entrepreneurial traits of the employees/organizations and make strategic readjustment of their capabilities for sustained business performance. Originality/value The study goes beyond the normal inquiry by investigating moderated mediation impact of environmental dynamism between two emerging capabilities, co-innovation and hotel performance relationships. Another novelty of this study is to culminate the exploitation and adoption of emerging IT-based capabilities in cross domains of management, entrepreneurship, information systems management within the hotel industry.
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通过大数据分析能力和人工智能能力提升马来西亚的酒店业绩
当前研究的前沿是调查大数据分析能力(BDAC)和人工智能能力(AIC)如何协同提高性能。因此,本研究旨在对新兴现象进行更深入的研究,并试图通过探索创业导向(EO)如何在环境动态的调节作用下强调两种新兴能力的使用,从而增强共同创新和酒店绩效,来弥补这一差距。设计/方法/方法数据收集于马来西亚吉隆坡和兰卡威的四星级和五星级酒店。在一间人力资源服务机构的协助下,我们从资讯科技人员和高级管理人员收集了260份回复,进行数据分析。通过Smart PLS 3软件使用PLS- sem技术分析数据,对假设进行了检验。结果表明,企业绩效对协同创新有显著的正向影响。此外,BDAC和AIC已被测试并证明是EO和CIN之间的潜在介质。同时,环境动态性作为调节因子对企业自主创新能力和协同创新绩效有显著正向影响,但对企业自主创新能力和协同创新绩效影响不显著。最后,研究结果显示,环境动态对BDAC和CIN对酒店绩效的调节作用为正且显著,但对AIC和共同创新对酒店绩效的影响不显著。为了对研究结果进行理论验证,本研究将EO、资源基础观理论和偶然动态能力(CDC)结合起来,因为任何一种观点都不能解释现有的研究框架。本研究预测了酒店业企业家的几点启示。建议管理者投资于员工/组织的创业特质,并对其持续经营绩效的能力进行战略调整。独创性/价值本研究超越了常规的探究,考察了环境动态性在两种新兴能力——共同创新和酒店绩效关系之间的调节中介作用。本研究的另一个新颖之处是在酒店业的管理、创业、信息系统管理等跨领域对新兴的基于it的能力的开发和采用。
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来源期刊
Journal of Hospitality and Tourism Insights
Journal of Hospitality and Tourism Insights HOSPITALITY, LEISURE, SPORT & TOURISM-
CiteScore
6.30
自引率
33.30%
发文量
88
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