4,648 research outputs found

    Business intelligence and big data in hospitality and tourism: a systematic literature review

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    Purpose This paper aims to examine the extent to which Business Intelligence and Big Data feature within academic research in hospitality and tourism published until 2016, by identifying research gaps and future developments and designing an agenda for future research. Design/methodology/approach The study consists of a systematic quantitative literature review of academic articles indexed on the Scopus and Web of Science databases. The articles were reviewed based on the following features: research topic; conceptual and theoretical characterization; sources of data; type of data and size; data collection methods; data analysis techniques; and data reporting and visualization. Findings Findings indicate an increase in hospitality and tourism management literature applying analytical techniques to large quantities of data. However, this research field is fairly fragmented in scope and limited in methodologies and displays several gaps. A conceptual framework that helps to identify critical business problems and links the domains of business intelligence and big data to tourism and hospitality management and development is missing. Moreover, epistemological dilemmas and consequences for theory development of big data-driven knowledge are still a terra incognita. Last, despite calls for more integration of management and data science, cross-disciplinary collaborations with computer and data scientists are rather episodic and related to specific types of work and research. Research limitations/implications This work is based on academic articles published before 2017; hence, scientific outputs published after the moment of writing have not been included. A rich research agenda is designed. Originality/value This study contributes to explore in depth and systematically to what extent hospitality and tourism scholars are aware of and working intendedly on business intelligence and big data. To the best of the authors’ knowledge, it is the first systematic literature review within hospitality and tourism research dealing with business intelligence and big data

    Data Sources as a Driver for Market‑Oriented Tourism Organizations: a Bibliometric Perspective

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    This paper presents a conceptual framework that accurately represents the current and future perspectives of data-driven companies in tourism by means of an analysis of the data sources used in the data-driven tourism research literature, as well as the research topics to which they are applied. For this purpose, a bibliometric analysis of data-driven tourism research is carried out. The framework of the study is all tourism-related publications whose research was based on data sources during the period 1982–2020. The results show some of the basic bibliometric performance indicators and the maps of science. The main themes of research interest are identified, and the conceptual evolution is obtained based on these maps. Three major thematic areas are identified: tourism research topics, information sources, and data analysis techniques. Based on these three thematic areas, the conceptual model of data architecture and processes of a data-driven organization in the tourism sector are obtained. An additional qualitative analysis of the three thematic areas is performedCRUE-CSIC agreement with Springer Natur

    Research on Cognitive Pattern of the Concept of Smart City with Crawler Technology

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    Smart city is a new form of information city and digital city and a new type of innovative means of planning and management of city, its theoretical research and construction practice have entered a period of rapid development. In-depth understanding of concept related to smart city will contribute to avoid the one-sidedness and blindness of smart city construction. This paper collects and analyzes social media data by means of network crawler technology. Then, we build the cognitive model of the concept of smart city by using e-commerce portrait technology, and discusses definition and information label of smart city. Finally, the technology-based smart city and the sustainable smart city are compared and analyzed by using the cognitive model of the concept of smart city. The purpose is to provide revelation for the future development of smart city

    Exploring enterprises competition: From a perspective of massive recruitment texts mining

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    Extant research has made limited efforts to conduct competitive intelligence analysis based on recruitment texts. To fill the gap, this study proposes a method for deriving and analyzing competitive relationships, identifying competition paths, and calculating asymmetric competitiveness degrees, from the recruitment texts on e-recruiting websites. Specifically, this study developed a competitive evaluation index system for companies’ skill needs and resource base based on 53,171 job descriptions and 42,641 company profiles published by companies across 8 industries (including 35 industry segments) using automated text processing methods. Furthermore, in order to identify competitive paths and calculate the degree of asymmetric competitiveness, this study proposes a modified bipartite graph approach (i.e., MBGA) for competitive intelligence analysis of recruitment texts based on the competition evaluation index system. Experiments on a real-world dataset of the representative companies clearly validated the effectiveness of the method. Compared to the five state-of-the-art methods, MBGA performs better in disclosing the overall competition and is more accurate in terms of the error rating ratio (i.e., ERR) of the competition

    Approach to C2F2C (customer to factory to customer) strategy: a case study of the Fanqing Furniture Company

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    Hotel furniture manufacturers, as key components of modern service industry, have become leading service companies concerning China's economic development. Consumer-driven business model and mass customization are becoming important direction of hotel furniture manufacturers’ transformation and upgrade. In a context of fragmented competition and individualized customers’ demand, it is difficult to take advantage of the low cost and high efficiency of mass production, while meeting the customers’ individualized needs. Internet led business increases the difficulty of balancing the offer of large production and customization, because companies face a high cost (Customer to Factory), while the customers’ satisfaction is low (Factory to Customer). Finding a solution to this trade-off is not only a major challenge in the process of company model transformation, but also an important topic that has not yet been studied in depth. Based on Fanqing Hotel Furniture Company’s empirical case of solving the contradiction between individualized demand and mass production, this thesis studies the evolution of hotel furniture manufacturers’ (HFM) innovation ecosystem and the value co-creation mode. The C2F2C (Customer to Factory to Customer) strategy of Fanqing was constructed based on both company innovation ecosystem theory and customer value co-creation theory. By implementing the C2F2C strategy, Fanqing has realized standardization, informatization and lean production, and also fulfilled customers’ needs and improved their satisfaction. The C2F2C strategy also helps to reduce costs and achieve value co-creation between the company and customers. This thesis explores an effective way to improve technological innovation ability and international competitiveness of HFM in China.As empresas de móveis para hotéis constituem um sector importante no desenvolvimento da indústria de serviços modernos, liderando já a indústria no desenvolvimento económico da China. Seguir um modelo de negócio de personalização em larga escala e orientação para o consumidor aponta ser uma direção significativa a tomar para a transformação e inovação das empresas de serviços. Face à concorrência individualizada e fragmentada na procura de clientes da indústria hoteleira, é difícil oferecer ao cliente uma personalização em larga escala, que permita atingir as vantagens de baixo custo e alta eficiência de produção em volume, atendendo simultaneamente à personalização das necessidades de cada cliente. Na comercialização pela internet é mais difícil equilibrar a oferta de uma produção em larga escala e personalizada, porque é elevado o custo em C2F, mas em contrapartida baixo o nível de satisfação do cliente em F2C. Como suporte empírico, esta tese analisou o caso da empresa de Móveis para Hotéis Fanqing, que resolveu a contradição entre procura individualizada e produção de massa em grande escala, permitindo estudar a evolução para um ecossistema inovador e de criação conjunta de valor entre empresas de móveis e clientes nesta industria de mobiliário para hóteis (HFM). A estratégia da relação cliente para fabricante e deste para cliente (C2F2C) da Fanqing foi desenvolvida com base nas teorias da inovação do ecossistema e da criação de valor conjunta. Ao implementar a estratégia de C2F2C, a Fanqing operou tanto a standardização, a informatização e a produção lean, como a satisfação do cliente preenchendo as suas necessidades. A estratégia C2F2C permite reduzir custos e potencia a criação conjunta de valor entre fabricantes e clientes, explorando uma maneira eficaz de melhorar a capacidade de inovação tecnológica e a competitividade internacional das empresas de móveis para hotéis da China

    Human Aspect on Chain of Custody (CoC) System Performance

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    The tropical forests cover 24% of tropical land area. They are the most productive terrestrial ecosystems on earth with high priorities for biodiversity conservation. These forests store a substantial amount of carbon in biomass and soil, and they also regulate the transfer of carbon into the atmosphere as carbon dioxide (CO2). Indonesia is having the third tropical forest area in the world after Brazil and Congo. Over 50 years forest has been felled both legally as well as illegally. High rate of forest degradation resulted from unsustainable forest management, rampant illegal logging, forest area encroachment, conversion and natural disaster. All urges rapid improvement of management system of Indonesia’s forest resources (Holmes, 2002). Forest certification is one tool that can support the achievement of sustainable forest management goal. Under current operation of join certification protocol between the Forest Stewardship Council (FSC) and the Indonesian Ecolabelling Institute (LEI) in Indonesia, forest management units must be able to show the required performance indicated in LEI criteria and indicator as well as FSC principles and criteria to attain certification of their products. The gap between current practices and performance required by forest certifications schemes is still enormous. The performance of forest certification system from LEI is determined very much by the human that is involved in the process of planning and operation. The name of certification system is chain of custody (CoC) certification. CoC operation involves activities such as tracing raw material from the forest to the factory, through shipping and manufacturing, to the final end product. In all of the above processes, the roles of human are critical, although the specific roles played from one process to another are different. In this paper we present an identification of human aspect and other factors that predominantly affect CoC system performance

    Semantic discovery and reuse of business process patterns

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    Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse
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