大数据背景下快捷酒店企业核心竞争力研究

发布时间：2018-03-08 06:14

本文选题：大数据　切入点：快捷酒店　出处：《青岛科技大学》2017年硕士论文　论文类型：学位论文

【摘要】：伴随大数据时代的到来,酒店经营模式将会发生深刻的变化。只有深入挖掘大数据背后的特质,才能对行业形成清晰的认识和把握度;只有精准依托大数据的独特优势,才能真正提升企业的核心竞争力。快捷酒店作为市场经济中数量众多、同质化现象严重的经营主体,充分挖掘业务流程与模式的内在价值,适时把握大数据提供的发展机遇,积极推动业务模式转型升级,不断降低运营成本,简化运营流程,不仅有助于促进快捷酒店提升自身的核心竞争力,实现可持续发展的目标,而且有助于促进整个酒店业的生态系统完善与优化。本文依托于大数据相关理论,以快捷酒店作为研究对象,从理论与实证两方面重点探讨快捷酒店核心竞争力的构建途径,论文共分为七个部分:第一部分是绪论。主要包括研究背景、研究意义、国内外的研究现状、研究内容与研究方法及本文的创新点等。第二部分是相关理论基础。主要包括大数据理论、企业竞争力理论与企业核心竞争力理论。通过对相关理论的梳理,为下文快捷酒店核心竞争力的提出奠定了基础。第三部分是大数据对快捷酒店核心竞争力的影响途径。分析了快捷酒店大数据的具体内容,并依据钻石模型,从快捷酒店的基础条件、需求条件、支持产业、战略结构与竞争对手分析和商业机遇等五个方面分析了大数据对快捷酒店核心竞争力的重要影响,将大数据与核心竞争力的关联研究推进到过程要素及其现实表现层面。第四部分是基于大数据的快捷酒店核心竞争力分析。阐述了快捷酒店大数据应用中存在的问题,并以核心竞争力理论为基础,将快捷酒店核心竞争力体系划分为核心层、外围层和展示层三个部分,然后将大数据对各个层面的影响分别投影到各个层面包含的要素上,将大数据与核心竞争力的关联研究推进到要素构成及其机制配合的层面。第五部分是大数据对快捷酒店核心竞争力的影响案例分析。在快捷酒店案例分析部分,从酒店企业的网站、微博、微信、数据库等方面探讨其大数据的应用现状,然后从酒店网站的访问量、酒店网站的日均转化率、酒店APP的下载使用率、酒店网站的首屏时间以及酒店网站的用户反馈等方面对快捷酒店大数据应用的影响因素进行重点探讨和分析。第六部分是大数据背景下快捷酒店核心竞争力提升措施。通过前文的理论探讨与实证分析,该部分有针对性地提出四项措施,分别为重视并加强酒店企业大数据的应用,增强产品创新和服务保障力度,重视酒店企业文化和品牌力的建设以及倡导持续学习的组织成长战略。第七部分是总结与展望。首先对前文进行认真总结和探讨,并对本文在研究过程中存在的不足进行分析,同时对后续研究提出了展望。
[Abstract]:With the arrival of big data's era, the hotel management model will undergo profound changes. Only by digging into the characteristics behind big data can we have a clear understanding and grasp of the industry, and only by relying precisely on the unique advantages of big data, Express Hotel, as the main business body with numerous quantity and serious homogenization phenomenon in the market economy, fully excavates the intrinsic value of business process and mode, and grasps the development opportunity provided by big data at the right time. Actively promoting business model transformation and upgrading, continuously reducing operating costs, and simplifying business processes will not only help Express Hotel enhance its core competitiveness and achieve the goal of sustainable development. This paper, based on big data's theory, takes Express Hotel as the research object, and probes into the construction of Express Hotel's core competence from both theoretical and empirical aspects. The paper is divided into seven parts: the first part is the introduction, mainly including the research background, research significance, domestic and foreign research status, The second part is the relevant theoretical foundation. It mainly includes big data theory, enterprise competitiveness theory and enterprise core competence theory. The third part is the influence of big data on Express Hotel's core competence. The concrete content of Express Hotel big data is analyzed, and according to the diamond model, the paper analyzes the concrete contents of Express Hotel's core competence, and analyzes the influence of big data on Express Hotel's core competence. This paper analyzes big data's important influence on Express Hotel's core competence from five aspects: basic condition, demand condition, supporting industry, strategic structure and competitor analysis and business opportunity. The research on the relationship between big data and core competence is promoted to the level of process elements and its realistic expression. 4th part is an analysis of Express Hotel's core competence based on big data. This paper expounds the problems existing in the application of Express Hotel big data. Based on the core competence theory, Express Hotel core competence system is divided into three parts: core layer, peripheral layer and display layer. The study on the relationship between big data and the core competence is promoted to the level of the composition of the elements and the coordination of the mechanism. 5th part is the case study on the influence of big data on the core competence of Express Hotel. In the part of case study of Express Hotel, From the hotel enterprise website, Weibo, WeChat, database and other aspects to discuss the status quo of the application of big data, and then from the hotel website visitors, the hotel website conversion rate, the download rate of hotel APP, The first screen time of hotel website and user feedback of hotel website are discussed and analyzed emphatically on the influencing factors of big data application in Express Hotel. 6th part is the promotion of Express Hotel core competence under the background of big data. Measures. Through the previous theoretical discussion and empirical analysis, In this part, four measures are put forward, one is to attach importance to and strengthen the application of big data in hotel enterprises, and the other is to strengthen the strength of product innovation and service guarantee. Pay attention to the construction of hotel corporate culture and brand strength, and advocate the organizational growth strategy of continuous learning. Part 7th is a summary and prospect. First of all, this paper makes a careful summary and discussion, and analyzes the shortcomings of this paper in the process of research. At the same time, the prospect of further research is put forward.
【学位授予单位】：青岛科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F719.2;F271

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