Search results

To satisfy the demand of initial investor for above-average capital return and the expectation of entrepreneurial management to establish their own business, this paper aims to explore a dynamic equity allocation model in which the shareholding ratio of the technology-based entrepreneurial firm changes with its growth and profit. Based on the dynamic equity allocation model, the authors design a financing structure which not only ensures timely and adequately obtaining the fund but also avoids equity dilution and safeguards the integrity of equity.

The paper selects high-tech companies listed in China as the sample for empirical research to identify the role of stock incentive and uses model deduction to find the equitable quantized benchmark for entrepreneurial management equity allocation. The study uses capital exclusivity as an entry point to perform theoretical analysis and demonstrates how the equity allocation of a technology-based entrepreneurial firm changes dynamically as the presentation speed of entrepreneurial management’s human capital exclusivity accelerates. The paper then constructs a conceptual model to design the financing structure of the technology-based entrepreneurial firm.

The study finds that stock incentive upwardly regulates debt financing and downwardly regulates equity financing. Based on characteristics of technology-based entrepreneurial firms, the paper suggests that the immediate surplus capital increment can signify the increasing presentation speed of human capital exclusivity, and it is proposed as an equitable quantized benchmark for equity allocation to entrepreneurial management. Based on the dynamic equity allocation model, the paper designs an internal equity and external debt financing structure.

The conclusions enrich the theoretical foundation for entrepreneurial management to participate in residual claim and provide practical guidance for equity allocation and financing structure design in the context of mass entrepreneurship and innovation. The paper also sets up a conceptual framework for solving two major issues of the technology-based entrepreneurial firm: timely acquisition of external funding and lasting maintenance of entrepreneurial management stability.

This study aims to review the diversified existing literature on digital tourism from 2002 to 2023 using bibliometric analysis to present a holistic review of the current scientific structure of digital tourism and sets the future research agenda.

A detailed search of 646 SSCI articles collected from the Web of Science Core Collection (WOSCC) database was analysed through CiteSpace.

The findings indicate that developed countries are at the core of the co-authorship network, although developing countries represented by China increasingly contribute valued research findings. The conceptual structure of digital tourism mainly evolves from exploration (2002–2006), and acceleration (2007–2014), to diversification (2015-2023), with the most recent focus on consumer-oriented value creation and potential technological risks. Three well-established thematic groups have been identified, namely, technological innovation and application, destination digital management and consumer value creation. Constructive insights for future research are also offered, including digital scenarios, digital production and digital governance.

The research helps scholars and practitioners grasp the current issues and needs of digital tourism and provides a guide for policymakers in the tourism industry who seek to intelligently improve tourism performance.

This study thoroughly evaluates 22 years of digital tourism literature through bibliometric analysis. It creates a framework for understanding how digital tourism is theorised and developed and indicates future research directions.

本篇论文旨在使用文献计量法梳理2002–2023年间的数字旅游研究, 提出整体知识架构和未来研究议程。

本篇论文运用CiteSpace对从Web of Science Core Collection (WOSCC)数据库中检索得到的646篇SSCI文献进行分析。

（1）发达国家处于作者合作网络的核心位置, 而以中国为代表的发展中国家持续产出有影响力的研究成果; （2）数字旅游的概念结构演化经历三个阶段：探索期（2002–2006年）、加速期（2007–2014年）以及多样化（2015–2023年）, 其中新兴研究热点为顾客导向的价值创造和潜在技术风险; （3）数字旅游研究主题分为三个类型, 即技术创新和应用、目的地数字化管理和顾客价值创造; （4）未来研究方向包括数字情境、数字生产和数字监管。

本篇论文有助于学界和业界人士掌握数字旅游产业的现状和需要, 并为政策制定者提供数智化提升旅游业绩效的参考。

本篇论文通过文献计量法系统回顾了22年间的数字旅游文献, 并进一步提出包含数字旅游演化和未来研究前沿的理论框架。

Este estudio tiene como objetivo revisar la diversa literatura existente sobre turismo digital desde 2002 hasta 2023 utilizando un método de análisis bibliométrico para revisar de manera integral la estructura científica actual del turismo digital y desarrollar una agenda de investigación futura.

A partir de una búsqueda detallada de 646 artículos del SSCI recogidos en la colección principal de Web of Science (WOSCC), se analizó la base de datos mediante CiteSpace.

Los resultados muestran que los países desarrollados constituyen el núcleo de la red de coautoría, mientras que los países en desarrollo representados por China también contribuyen cada vez más con valiosos resultados de investigación. La estructura conceptual del turismo digital evoluciona principalmente desde la exploración (2002–2006), y la aceleración (2007–2014), hasta la diversificación (2015–2023), centrándose más recientemente en la creación de valor orientada al consumidor y en los posibles riesgos tecnológicos. Se han identificado tres grupos temáticos bien establecidos, a saber, innovación y aplicación tecnológicas, gestión digital de destinos y creación de valor para el consumidor. También se ofrecen ideas constructivas para futuras investigaciones, como los escenarios digitales, la producción y la gobernanza digitales.

La investigación ayuda a estudiosos y profesionales a comprender los problemas y necesidades actuales del turismo digital y proporciona una guía para los responsables políticos del sector turístico que pretenden mejorar de forma inteligente los resultados del turismo.

Este estudio evalúa exhaustivamente 22 años de literatura sobre turismo digital mediante un análisis bibliométrico. Crea un marco para comprender cómo se teoriza y desarrolla el turismo digital e indica futuras direcciones de investigación.

This study aims to present a holistic synopsis of the current scientific structure of inbound tourism research and suggest further research directions.

A 30-year bibliometric analysis was conducted using the Web of Science Core Collection database through CiteSpace, covering 568 Social Sciences Citation Index articles.

This study systematically identifies the evolution of scientific structures and emerging research trends in the inbound tourism field. The findings show that: co-authorship patterns reveal a trend of international cooperation; the evolution of research themes is consistent with the development of the macro-environment and inbound tourism industry, the most recent focus being on sustainable development of destinations; varied multivariate data analysis methods dominate current empirical analysis; there exist three major research dimensions in the inbound tourism field; and unilateral political factors in destinations and bilateral linkage factors affecting inbound tourism demand have aroused research interest increasingly.

This study helps scholars and practitioners understand the current issues and needs of the inbound tourism industry and develops a future research agenda to promote the industry’s continuous development.

This study is the first attempt to provide insights into the theoretical development of inbound tourism over the past three decades from the perspective of a knowledge-based platform and further facilitate sustainable development of the industry.

本篇论文旨在全面地梳理入境旅游研究的整体知识架构, 进而提出未来研究方向。

本篇论文基于文献计量法, 运用CiteSpace对从Web of Science Core Collection数据库中检索得到的30年间568篇社会科学引文索引文献进行分析。

本篇论文系统地梳理了入境旅游领域知识架构的演化和新兴研究趋势, 填补了现有研究空白。结果揭示：（1）作者协作模式展现出国际化合作趋势; （2）入境旅游领域研究主题的演化趋势与宏观环境和国际旅游的发展阶段相吻合, 并且目的地可持续发展的研究成为热点; （3）目前实证分析主要采用各种多元数据分析方法; （4）入境旅游领域的研究可以归纳为三个主要研究方向; （5）单边政治因素和国家双边联系因素对入境旅游需求的影响逐渐成为近年研究热点。

本篇论文提出了未来研究方向, 有助于学界和业界人士掌握入境旅游产业的现状和需要, 从而推动该产业的可持续发展。

本篇论文首次从知识平台视角出发, 揭示了过去三十年间入境旅游的理论发展情况。

关键词 入境旅游, 文献计量法, 知识架构, 知识平台, 未来研究方向, CiteSpace

文章类型 ：研究型论文

El objetivo de este estudio es presentar una sinopsis holística de la actual estructura científica de la investigación turística entrante y sugerir nuevas direcciones de investigación.

Se condujo un análisis bibliométrico de 30 años utilizando la base de datos de recopilación de datos de la red de ciencias básicas a través de CiteSpace, que abarcó 568 artículos del Índice de Citación de Ciencias Sociales.

Este estudio identifica sistemáticamente la evolución de estructuras científicas y las tendencias de investigación emergentes en el campo del turismo entrante. Las conclusiones muestran que: i) las pautas de coautoría han revelado una tendencia a la cooperación internacional; ii) la evolución de los temas de investigación es coherente con el desarrollo del macro-entorno y de la industria del turismo entrante, centrándose más recientemente en el desarrollo sostenible de los destinos; iii) los diversos métodos de análisis de datos multivariados predominan en el análisis empírico actual; iv) existen tres grandes dimensiones de investigación en el ámbito del turismo entrante; y v) los factores políticos unilaterales en los destinos y los factores de vinculación bilateral que afectan a la demanda turística entrante han despertado un interés cada vez mayor a la investigación.

Este estudio ayuda a los académicos y los profesionales a entender problemas y necesidades actuales de la industria turística entrante y desarrollar una futura guía de investigación para fomentar el desarrollo continuo de la industria.

Este estudio es el primer intento de proporcionar información sobre el desarrollo teórico del turismo entrante en las últimas tres décadas, desde la perspectiva de la plataforma basada en un conocimiento y facilitar aún más el desarrollo sostenible de la industria.

Turismo entrante, Bibliométrica, Estructura científica, Plataforma basada en el conocimiento, Agenda de investigación futura, CiteSpace

Revisión bibliográfica

A novel non-pneumatic safety tire, namely mechanical elastic wheel (ME-Wheel), has been developed recently to solve problems, including tire bursting and flat tire, of typical pneumatic tires. This paper aims to predict the life of the ME-Wheel accurately and settle the problem of lower lifespan.

This study proposes a new method to establish a novel model of virtual proving ground based on finite element analysis, and by combining with the random vibration damage analysis method, the life of an ME-Wheel is predicted precisely. Next, the weak parts and infinite life parts of the ME-Wheel are investigated from the perspective of constant life design, and an approximate response surface model is developed, which is suitable for the ME-Wheel. Then, the optimal results of the ME-Wheel are obtained, including tire modal, mass and its lifetime.

It is found that the proposed methods can provide a reliable theoretical basis for further improving the structural design and material selection of ME-Wheel parts. The results show that the improved ME-Wheel can reduce the weight and greatly improve the ability of anti-resonance, and the lifetime of ME-Wheel has significantly improved.

A new type of non-pneumatic tire (ME-Wheel) has been developed to avoid problems with traditional tires, such as tire leaking or puncture. A new method to establish a novel model of virtual proving ground based on finite element analysis has been proposed. The weakest key component of the ME-Wheel is determined. The life, mass and modal of the ME-Wheel are optimized.

We make use of the Volunteered Geographic Information (VGI) data to extract the total extent of the roads using remote sensing images. VGI data is often provided only as vector data represented by lines and not as full extent. Also, high geolocation accuracy is not guaranteed and it is common to observe misalignment with the target road segments by several pixels on the images. In this work, we use the prior information provided by the VGI and extract the full road extent even if there is significant mis-registration between the VGI and the image. The method consists of image segmentation and traversal of multiple agents along available VGI information. First, we perform image segmentation, and then we traverse through the fragmented road segments using autonomous agents to obtain a complete road map in a semi-automatic way once the seed-points are defined. The road center-line in the VGI guides the process and allows us to discover and extract the full extent of the road network based on the image data. The results demonstrate the validity and good performance of the proposed method for road extraction that reflects the actual road width despite the presence of disturbances such as shadows, cars and trees which shows the efficiency of the fusion of the VGI and satellite images.