竞争情报对组织文化和酒店绩效的中介作用:一个提出的理论框架

D. Asri, Ainul Mohsein, N. Sumarjan
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引用次数: 0

摘要

旅游业在现代经济中得到广泛认可。然而,为了保持竞争力,酒店被鼓励实施战略规划。本研究的主要目标是提出一个整合竞争情报(CI)在组织文化与酒店绩效关系中的作用的理论框架。因此,有必要对酒店行业CI实践进行深入研究。然而,以往对其他行业,尤其是中小企业的CI进行了大量的研究。尽管如此,据研究者所知,在马来西亚,竞争情报(CI)实践在组织文化(OC)和酒店绩效之间的关系中所起的作用知之甚少。因此,本文强调了资源基础理论和知识基础理论在CI研究中的运用及其依据。创建这一框架的过程分为三个阶段,首先是详细解释与OC作为影响酒店绩效的因素相关的文献。然后,该框架将CI实践作为提高酒店绩效的策略。最后,本文解释了CI在酒店绩效与OC关系中的中介作用。本定量研究使用从马来西亚旅游,艺术和文化部获得的240家四星级和五星级酒店的高层管理人员的问卷调查,并将使用PLS-SEM进行分析。本研究补充了不断增长的CI文献,并有助于行业从业者更好地了解提高酒店绩效的因素和策略。
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The Mediating Role of Competitive Intelligence on Organizational Culture and Hotel Performance: A Proposed Theoretical Framework
The tourism industry is widely acknowledged in modern economies. However, to remain competitive, hotels are encouraged to implement strategic planning. The primary goal of this study is to propose a theoretical framework that integrates the role of Competitive Intelligence (CI) in the relationship between organizational culture and hotel performance. Therefore, an in-depth study on CI practices in the hotel industry is needed. However, a lot of previous research has been conducted on CI in other industries, especially in the SME industry. Nonetheless, to the best of the researcher's knowledge, little is known about the role of Competitive Intelligence (CI) practices in the relationship between Organizational Culture (OC) and hotel performance in Malaysia. Therefore, the use of Resource-Based Theory and Knowledge-Based theory and their justifications among studies on CI is highlighted. A three-phased process to create this framework begins with a detailed explanation of the literature related to OC as a factor influencing hotel performance. Then, the framework inserts CI practices as a strategy to improve hotel performance. Finally, CI as a mediator between the relationship of OC and hotel performance is explained. This quantitative study uses a questionnaire survey of the top-level management of 240 Four and Five-star hotels obtained from the Ministry of Tourism, Arts, and Culture Malaysia and will be analyzed using PLS-SEM. This study adds to the growing body of CI literature and contributes to industry practitioners to better understand the factor and strategies to improve hotel performance.
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