Smart insights, stronger performance: Leveraging business intelligence and dynamic capabilities in tourism and hospitality

IF 8.3 1区管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM

International Journal of Hospitality Management Pub Date : 2025-09-16 DOI:10.1016/j.ijhm.2025.104410

Omid Tajeddini , Kayhan Tajeddini , Thilini Chathurika Gamage , Waseem Ul Hameed

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引用次数: 0

Abstract

The rapid advancement of artificial intelligence (AI) and business intelligence (BI) compels tourism and hospitality firms to redefine their capabilities. This need stems from the growing imperative to fully leverage these technologies for performance enhancement—an area still underexplored in the tourism and hospitality literature. Drawing on the dynamic capabilities view, this paper investigates the interrelationships among resource orchestration capabilities (ROCs), digital marketing capabilities (DMCs), AI capabilities, and firm performance, with a specific focus on the mediating role of BI adoption and the moderating effect of technology orientation (TO). Using data from 297 tourism and hospitality firms across four major Japanese cities, the findings reveal that BI adoption mediates the relationships among ROCs, DMCs, AI capabilities, and firm performance. As anticipated, TO does not moderate the DMC–BI adoption link, potentially due to firm-specific factors warranting further exploration in different contexts. The study contributes to theory by proposing an integrative framework that conceptualizes ROCs, DMCs, and AI capabilities as distinct yet interrelated dynamic capabilities driving performance in tourism and hospitality firms. Practically, the findings encourage tourism and hospitality managers to refine their strategies to better leverage these capabilities, particularly in pursuing digital transformation.

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聪明的洞察力，更强的业绩：利用商业智能和旅游和酒店业的动态能力

人工智能（AI）和商业智能（BI）的快速发展迫使旅游和酒店公司重新定义其能力。这种需求源于充分利用这些技术来提高绩效的日益迫切的需求——这一领域在旅游和酒店文献中仍未得到充分的探索。基于动态能力的观点，本文研究了资源编排能力（ROCs）、数字营销能力（DMCs）、人工智能能力和企业绩效之间的相互关系，特别关注了商业智能采用的中介作用和技术导向（TO）的调节作用。利用来自日本四个主要城市的297家旅游和酒店公司的数据，研究结果显示，商业智能的采用调节了roc、dmc、人工智能能力和公司绩效之间的关系。正如预期的那样，TO并没有调节DMC-BI采用之间的联系，这可能是由于企业特有的因素，需要在不同的背景下进行进一步的探索。该研究提出了一个综合框架，将ROCs、dmc和AI能力概念化为推动旅游和酒店公司绩效的不同但相互关联的动态能力，从而为理论做出了贡献。实际上，调查结果鼓励旅游和酒店管理人员改进其战略，以更好地利用这些能力，特别是在追求数字化转型方面。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Hospitality Management HOSPITALITY, LEISURE, SPORT & TOURISM-

CiteScore

21.20

自引率

9.40%

发文量

218

审稿时长

85 days

期刊介绍： The International Journal of Hospitality Management serves as a platform for discussing significant trends and advancements in various disciplines related to the hospitality industry. The publication covers a wide range of topics, including human resources management, consumer behavior and marketing, business forecasting and applied economics, operational management, strategic management, financial management, planning and design, information technology and e-commerce, training and development, technological developments, and national and international legislation. In addition to covering these topics, the journal features research papers, state-of-the-art reviews, and analyses of business practices within the hospitality industry. It aims to provide readers with valuable insights and knowledge in order to advance research and improve practices in the field. The journal is also indexed and abstracted in various databases, including the Journal of Travel Research, PIRA, Academic Journal Guide, Documentation Touristique, Leisure, Recreation and Tourism Abstracts, Lodging and Restaurant Index, Scopus, CIRET, and the Social Sciences Citation Index. This ensures that the journal's content is widely accessible and discoverable by researchers and practitioners in the hospitality field.