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Against the background of the I50 paradigm, this paper queries in what ways blockchain and blockchain-based applications deployed in the smart city context facilitate the integration of the I50 paradigm in smart urban contexts.

A mixed methods approach is applied. First, by means of desk research and thematic literature review, a conceptual model integrating the I50 paradigm, smart city and blockchain-based solutions is built. Second, science mapping bibliometric analysis (SciMat) based on keywords’ co-occurrence is applied to a sample of 491 research articles to identify key domains of blockchain-based applications’ use in smart city. Third, a semi-systematic literature review complements insights gained through SciMat. Fourth, the findings are interpreted through the precepts of the conceptual model devised earlier.

The key blockchain-based applications in smart cities pertain to two domains, i.e. the foundational, service facilitation-oriented domain, including security (and safety), networks, computing, resource management and the service delivery-oriented domain, including mobility, energy and healthcare. Blockchain serves as the key building block for applications developed to deliver functions specific to each of the thus identified domains. A substantial layering of blockchain-based tools and applications is necessary to advance from the less to the more complex functional domains of the smart city.

At the conceptual level, the intricacies of the (making of the) I50 paradigm are discussed and a case for I50 – smart city – blockchain nexus is made. Easton’s input–output model as well as constructivism is referenced. At the empirical level, the key major domains of blockchain-based applications are discussed; those that bear the prospect of integrating the I50 paradigm in the smart city are highlighted. At the methodological level, a strategic move is made aimed at restoring the literature review’s role as subservient to the key line of exploration, to justify and ultimately support it, rather than to showcase the literature review as the ultimate purpose for itself.

This chapter uses multiple research methods, including quantitative science mapping analysis (SciMat) and a qualitative literature review, to provide insight into the academic debate unfolding at the intersection of big data and business processes. SciMat analysis based on keyword co-occurrence enabled identifying 12 of the most productive research themes, as reflected in a poll of 301 articles about big data and business processes. The three most important themes are: firm performance, Industry 4.0, and innovation. The traditional literature review on firm performance indicated that big data analytics (BDA) positively influence business process performance and have a beneficial impact on a firm’s performance, that is, the role of big data is viewed as critical in the context of Industry 4.0 because it enhances productivity and improves business processes. The benefits of BDA can be achieved only if the organizational obstacles related to planning, workforce attitude, and alignment with strategy are overcome. Moreover, big data is perceived as a significant source of innovation in an organization and can be conceptualized with the use of a resource-based view (RBV) of the firm. BDA positively influence business processes, which is strengthened by adequate implementation and openness to innovation.

This chapter applies science mapping analysis (SciMat) and literature review as research methods to examine literature about higher education institutions (HEIs) during the Covid-19 pandemic. User acceptance, satisfaction, and perception are identified as the most productive research themes in the sample of 561 Web of Science (WoS) indexed articles about HEIs during the pandemic. The literature review of the top themes reveals that user acceptance is influenced by the perceived usefulness of online learning and ease of using online tools. The level of satisfaction among students in online learning is relatively high and linked with the perceived benefits of online courses. Conditions influencing user acceptance and perceived satisfaction differ between students and lecturers. Technology-related themes appeared to be relatively under-researched as standalone themes, but technological aspects turned out to be important components of the most prolific research themes identified.

Organizations and markets are constantly developing and changing, impacting how organizations create value and manage supply chains. This paper aims to identify the motor themes and subthemes of academic research that relate supply chain management (SCM) maturity and business models (BMs).

The Science Mapping Analysis Tool (SciMAT) was used to conduct a seven-step bibliometric analysis of 889 documents indexed in the Scopus database clustering by relatedness of works and keywords. The methodological approach included content analysis of the literature, longitudinal analysis and strategic diagram analysis.

The thematic evolution analysis revealed that three themes drive the studies on SCM maturity and BM: industry 4.0 (motor theme), environmental management (transversal theme) and product management (highly developed and isolated theme). The strategic diagrams and co-word networks allowed to graphically identify the main topics connecting SCM maturity and BM. Considering this connection, the scientific mapping emphasizes the significance and strength of the link between digital technologies, technology management and manufacturing management in Industry 4.0. In addition, the connections between the subthemes revealed that circular economy and green human resource management are important concepts to advance theory and practice on the connection between SCM maturity and BM.

This research extends the knowledge base by providing an analysis of the key themes and the links with subthemes in the literature that relate to SCM maturity and BM. Key studies are analyzed and linked with the key topics identified using the SciMAT software. Future research avenues are outlined, providing new insights to advance theory and practice.

The purpose of this study is to identify papers that have produced the most significant impact on research on strategic alliances in the biotechnology industry. The authors attempt to illustrate the thematic evolution of its intellectual structure through 616 papers published between 1992 and 2021.

The present research methodology relies on three distinct techniques, implemented using SciMat software: (1) bibliometric techniques, (2) scientific map analysis and (3) content analysis of research documents from the Web of Science (WoS). In this manner, the authors analyse the intellectual structure of the field of strategic alliances in the biotechnology industry, tracking its evolution over a period of three decades.

The study emphasises the relevance of “innovation” as a key theme and identifies several potential areas for future research, which could serve as a foundation for further investigations.

This study represents a novel contribution to the literature as it is the first to use the SciMat tool to analyse strategic alliances in the biotechnology industry. This research reveals that while strategic alliances have been assessed extensively across various industries, some topics, such as the types and formation of alliances, have not been specifically studied in the biotechnology industry. These areas as well as the barriers and variables influencing the formation of alliances offer promising avenues for future research in this field.

本研究旨在確定對關於生物科技產業內的策略聯盟的探究產生極其顯著影響的學術論文。我們擬透過探討於1992年至2021年期間發表的616篇學術論文，去闡明策略聯盟的知識結構的主題演變。

研究依賴三個不同的技術來進行，並以SciMat 可視化軟件來做具體實施的工作。這三個技術為、(一) 文獻計量技術;(二) 科學製圖分析;和 (三) 就取自 Web of Science 的學術文章而進行的內容分析。我們採用這研究法，對在生物科技產業內的策略聯盟的知識結構進行分析，俾能對有關的知識結構的主題演變進行一個涵蓋三十載的跟蹤調查。

研究強調了創新，並視之為主要的主題的重要相關概念;研究亦確定了一些今後可供研究的潛在領域，這或許會成為進一步研究的基礎。

由於本研究是首個研究、使用SciMat這工具去分析在生物科技產業內的策略聯盟，故就有關的文獻而言，它給予新穎的貢獻。研究結果顯示，雖然策略聯盟已在各個不同的產業裡被廣泛評價，但在生物科技產業裡，一些如聯盟的種類和形成方式等的課題仍未得到適切的研究。這些課題，以及影響著聯盟的形成的障礙和變數，會為這領域內今後的學術研究、提供光明的途徑。

This study aims to present a bibliometric overview of the academic research on export performance (EP) in the business and management areas.

A bibliometric overview of 1,463 papers from 1968 to 2021, including performance analysis, science mapping analysis and graphical mapping, was conducted using the Scopus database. SciMAT software was used for thematic analysis and conceptual evolution mapping of the EP domain, and VOSviewer software was used for graphical visualization.

This study shows that EP research experienced spectacular growth, especially between 1998 and 2003, and the interest in this field continues to increase. Also, the USA and the UK appear to be the absolute leaders in EP research, with the best indicators of productivity and influence in all dimensions analyzed. The findings from the analysis through SciMAT indicate that “capabilities” and “R&D” are the main Motor themes that have contributed the most to the EP literature, whereas “global value chain” and “start-up” are emerging themes as new areas of interest.

This study develops a baseline for representing certain and exhaustive insights in the EP field and specifies trends over a period. Using a single database and excluding book chapters/conference papers are limitations of this study.

EP is a research field that has gained wide acceptance in the academic community and international marketing literature. To the best of the authors’ knowledge, no bibliometric overview has analyzed the EP literature. This study presents the first systematic quantitative analysis of academic research on EP in the business and management areas.

The purpose of this study was to uncover representative emergent areas and to examine the research area of marketing, tourism and big data (BD) to assess how these thematic areas have developed over a 27-year time period from 1996 to 2022. This study analyzed 1,152 studies to identify the principal thematic areas and emergent topics, principal theories used, predominant forms of analysis and the most productive authors in terms of research.

The articles for this research were all selected from the Web of Science database. A systematic and quantitative literature review was performed. This study used SciMAT software to extract indicators. Specifically, this study analyzed productivity and produced a science map.

The findings suggest that interest in this area has increased gradually. The outputs also reveal the innovative effort of industry in new technologies for developing models for tourism marketing. Ten research areas were identified: “destination marketing,” “mobility patterns,” “co-creation,” “gastronomy,” “sustainability,” “tourist behavior,” “market segmentation,” “artificial neural networks,” “pricing” and “tourist satisfaction.”

This work is unique in proposing an agenda for future research into tourism marketing research with new technologies such as BD and artificial intelligence techniques. In addition, the results presented here fill the current gap in the research since while there have been literature reviews covering tourism with BD or marketing, these areas have not been studied as a whole.

El objetivo de esta investigación fue descubrir nichos representativos de áreas emergentes y examinar el área de Marketing, Turismo y Big Data, evaluando cómo han evolucionado estas áreas temáticas durante un período de 27 años desde 1996–2022. Analizamos 1.152 investigaciones para identificar las principales áreas temáticas y temas emergentes, las principales teorías utilizadas, las formas de análisis predominantes y los autores más productivos en términos de investigación.

Todos los artículos para esta investigación fueron seleccionados de la base de datos Web of Science. Realizamos una revisión sistemática y cuantitativa de la literatura. Utilizamos el software SciMAT para extraer indicadores. Específicamente, analizamos la productividad y elaboramos un mapeo científico.

Los hallazgos sugieren que el interés en esta área ha aumentado gradualmente. Los resultados también revelan el esfuerzo innovador de la industria en nuevas tecnologías para desarrollar modelos de marketing turístico. Se identificaron diez áreas de investigación (“marketing de destinos”, “patrones de movilidad”, “co-creación”, “gastronomía”, “sostenibilidad”, “comportamiento turístico”, “segmentación de mercado”, “redes neuronales artificiales”, “precios”, y “satisfacción del turista”).

Este trabajo es único al proponer una agenda para futuras investigaciones en investigación de Marketing Turístico con nuevas tecnologías como Big Data y técnicas de Inteligencia Artificial. Además, los resultados presentados aquí llenan el vacío actual en la investigación ya que si bien se han realizado revisiones de literatura que cubren Turismo con Big Data o Marketing, estas áreas no se han estudiado como un conjunto.

这一特定研究领域的目标是发现具有代表性的新兴领域, 并考察市场营销、旅游和大数据研究领域, 以评估这些主题领域在1996年至2022年的27年间是如何发展的。我们分析了1152项研究, 以确定主要专题领域和新兴主题、使用的主要理论、主要的分析形式以及在研究方面最有成效的作者。

本研究的文章都是从Web of Science数据库中选出的。我们进行了系统化的定量文献审查, 并使用SciMAT软件来提取指标。具体来说, 我们分析了生产力并制作了一个科学研究地图。

研究结果表明, 人们对这一领域的兴趣已经逐渐增加。本文也揭示了工业界在开发旅游营销模式的新技术方面的创新努力。研究确定了十个研究领域：“目的地营销”、“流动模式”、“共同创造”、“美食”、“可持续性”、“游客行为”、“市场细分”、“人工神经网络”、“定价 “和游客满意度”。

这项研究的独特之处在于提出了未来利用大数据和人工智能技术等新技术进行旅游营销研究的议程。此外, 本文的结果填补了目前的研究空白, 因为虽然有文献综述涉及旅游与大数据或市场营销, 但这些领域还没有被作为一个整体来研究。

The purpose of this paper is to shed light on the state-of-the-art about sustainable tourism. Despite the significant growth of publications exploring sustainable tourism, the debate on the relationship between tourism and sustainability remains open. In addition, the sector faces the challenge of the 2030 Agenda, as the authors have not yet managed to curb environmental degradation and social disparities. This research needs to be comprehensively addressed to inform future steps and to identify sustainable tourism practices that will advance the goals of this action plan.

This study applies a mixed methodology, using a bibliometric analysis performed by VOSviewer and SciMat software of 311 articles from the Web of Science. In addition, it includes an in-depth analysis of trending research topics in the field during 2019 and 2020.

After 20 years of research on sustainable tourism, there is still significant dispersion of studied topics, frameworks and applications. The results show the evolution of research towards the study and measurement of sustainable change, social and cultural aspects and the development of responsible governance models.

New stakeholder relationships models require a methodological and technological framework. Further progress in sustainable tourism guided by the 2030 Agenda demands the establishment of worldwide recognised measurement indicators and policy frameworks.

With a mixed methodological approach and a special focus on the sustainable development goals (SDGs), this paper provides a “state-of-the-art” update to sustainability research in tourism. The results obtained have been associated with their contribution to achieving SDGs.

尽管探索可持续旅游业的出版物大幅增长, 但关于旅游业和可持续性之间关系的辩论仍然没有结束。此外, 该部门还面临着2030年议程的挑战, 因为我们还没有设法遏制环境退化和社会差异。这项研究需要全面解决, 以便为未来的步骤提供信息, 并确定可持续旅游的做法, 以推进本行动计划的目标。

本研究采用混合方法, 通过VOSviewer和SciMat软件对来自科学网的311篇文章进行文献计量分析。此外, 它还包括对2019年和2020年期间该领域的趋势性研究课题的深入分析。

经过20年的可持续旅游研究, 所研究的课题框架和应用仍然存在很大的分散性。我们的结果显示, 研究朝着研究和测量可持续变化、社会和文化方面以及发展负责任的治理模式的方向发展。

新的利益相关者关系模型需要一个方法学和技术框架。在2030年议程的指导下, 可持续旅游业的进一步发展需要建立世界公认的测量指标和政策框架。

通过混合方法和对可持续发展目标（SDGs）的特别关注, 本文为旅游业的可持续性研究提供了 “最先进 “的更新。获得的结果与他们对实现可持续发展目标的贡献有关。

A pesar del importante crecimiento de las publicaciones que exploran el turismo sostenible, el debate sobre la relación entre turismo y sostenibilidad sigue abierto. Además, el sector se enfrenta al reto de la Agenda 2030, ya que aún no se ha conseguido frenar la degradación medioambiental y las disparidades sociales. Esta investigación debe abordarse de forma exhaustiva para informar de los pasos futuros e identificar las prácticas de turismo sostenible que harán avanzar los objetivos de este plan de acción.

Este estudio aplica una metodología mixta, utilizando un análisis bibliométrico realizado por el software VOSviewer y SciMat con 311 artículos de la Web of Science. Además, incluye un análisis en profundidad de los temas de investigación de tendencia en el campo durante 2019 y 2020.

Después de 20 años de investigación sobre el turismo sostenible, sigue habiendo una importante dispersión de los marcos temáticos estudiados y de las aplicaciones. Nuestros resultados muestran la evolución de la investigación hacia el estudio y la medición del cambio sostenible, los aspectos sociales y culturales y el desarrollo de modelos de gobernanza responsable.

Los nuevos modelos de relaciones con los grupos de interés requieren un marco metodológico y tecnológico. Los nuevos avances en el turismo sostenible guiados por la Agenda 2030 exigen el establecimiento de indicadores de medición y marcos políticos reconocidos a nivel mundial.

Con un enfoque metodológico mixto centrado especialmente en los Objetivos de Desarrollo Sostenible (ODS), este trabajo proporciona una actualización del “estado del arte” a la investigación de la sostenibilidad en el turismo. Los resultados obtenidos se han asociado con la consecución de los ODS.

Tourism review (TR) celebrates its 75th anniversary in 2020. The purpose of this paper is to proffer a holistic overview of TR based on bibliometric analyses of the publications from 2001 to 2019.

The research method entails performance analyses and science mapping analyses on TR. The performance analyses engage a sequence of bibliometric statistics, including citation analysis, most cited authors and papers, most influential and productive authors, countries and institutions to name a few. The authors also used visualization of similarities viewer to perform the science mapping analysis of TR based on co-citations of cited authors, bibliographic couplings of authors and countries and co-occurrences of authors’ keywords from 2001 to 2019 and from 2014 to 2019. To examine the thematic evolution using SciMAT, a de-duplicating process was conducted in which 1,485 keywords were refined to 128 word groups before thematic evolution map and strategic diagrams for the three sub-periods were generated.

The thematic evolution map revealed ten thematic areas. The key themes of each of these thematic areas are destination studies, tourism destination and hospitality tourism; destination studies, competitiveness and innovations, co-operations and experience tourism; business studies, sports tourism, tourism destination and satisfaction; quality studies, networks, social studies and co-operation; business model and sports tourism; tourism management and tourism destination; political studies, perception and satisfaction; political studies, sustainability studies, social studies and health tourism; behavior, perception and satisfaction; and cultural tourism and tourism destination.

The study has managed to unveil the key trends of publications, authors, affiliations, nations and authors’ keywords. The findings are useful for potential authors to have a quick snapshot of what is expected from and what is happening in TR.

The study serves as a historical record of TR’s publications. It presents comprehensive bibliometric analyses of the publications in TR and identifying the key research trends.

Tourism Review（TR）将于2020年庆祝其成立75周年。本论文研究的目的是基于2001年至2019年出版的相关文献数量加以分析, 并对TR进行全面概述。

研究方法需要对TR进行性能分析和科学映射分析。绩效分析涉及一系列的文献数量统计, 包括引用分析：引用最多的作者和论文, 最具影响力和生产力的作者, 国家和机构。作者们还使用VOSviewer对引用作者的共同引用, 作者与国家/地区的书目耦合以及2001年至2019年以及2014年至2019年共同出现的作者关键词来进行TR的科学制图分析, 并使用SciMAT, 进行了重复数据删除过程, 将1485个关键字简化为128个词组, 进行随后三个阶段主题性的进化图与策略图的制作。

从2001年到2019年, TR的出版物和其引用率出现了巨大的飞跃, 因为它引起了全世界各项研究人员, 机构和国家的极大兴趣。被引用最多的文献和最有影响力的作者多来自发达国家的机构, 包括美国（US）, 英国（UK）以及其他欧洲和大洋洲国家。但是, 亚洲和非洲大陆的国家也正在加入潮流, 并开始在TR中树立影响力。

该研究设法揭示了出版物, 作者, 隶属关系, 国家和作者的关键词的主要趋势。这些发现对于有潜能的作者快速了解TR预期和正在发生的事情很有帮助。

这项研究可作为TR出版物的历史记录。它将提供TR出版物的综合文献计量分析, 并确定了关键的研究趋势。

旅游期刊, 文献计量分析, 科学制图, 书目耦合, 共引, 共现, VOSviewer, SciMAT

研究论文

Tourism Review (TR) celebra su 75 aniversario en 2020. El objetivo de esta investigación es ofrecer una visión global de TR basada en análisis bibliométricos de las publicaciones de 2001 a 2019.

el método de investigación implica análisis de rendimiento y análisis de mapeo científico en TR. Los análisis de desempeño involucran una secuencia de estadísticas bibliométricas, que incluyen análisis de citas, autores y artículos más citados, autores más influyentes y productivos, países e instituciones, por nombrar algunos. Los autores también utilizaron el VOSviewer para realizar el análisis de mapeo científico de TR basado en citas compartidas de autores citados, acoplamientos bibliográficos de autores y países y co-ocurrencias de las palabras clave de los autores desde 2001 hasta 2019 y desde 2014 hasta 2019. Para examinar el evolución temática utilizando SciMAT, se llevó a cabo un proceso de desduplicación en el que se refinaron 1485 palabras clave a 128 grupos de palabras antes de que se generaran mapas de evolución temáticos y diagramas estratégicos para los tres subperíodos.

hay un salto gigantesco en las publicaciones, así como las citas de TR de 2001 a 2019, ya que ha ganado mucho interés por parte de varios investigadores, instituciones y países de todo el mundo. La mayoría de los autores más citados e influyentes provienen de instituciones de países desarrollados, incluidos los Estados Unidos (EE. UU.), El Reino Unido (Reino Unido) y otras naciones europeas y de Oceanía. Sin embargo, países de los continentes asiático y africano se están uniendo al carro y comenzaron a establecer su influencia en TR.

el estudio ha logrado revelar las tendencias clave de publicaciones, autores, afiliaciones, naciones y palabras clave de los autores. Los hallazgos son útiles para que los autores potenciales tengan una instantánea rápida de lo que se espera de lo que está sucediendo en TR.

el estudio sirve como un registro histórico de las publicaciones de TR. Presenta análisis bibliométricos exhaustivos de las publicaciones en TR e identifica las tendencias de investigación clave.

The paper aims to identify the major research themes in consumer financial services between 2000 and 2020, their relative magnitude and interrelationship, to identify which themes have been most influential and to map the evolution of the field and identify emerging and under-researched themes that are promising for future research.

The core methodology is bibliometric analysis based on keyword co-occurrences. A total of 1,227 articles extracted from the Social Science Citation Index, Emerging Sources Citation Index and Scopus are used in the analysis. Key outputs of the SciMAT software are the research themes, and graphical outputs are called science mapping (evolution of the themes over time), strategic diagrams (visual representation of themes in a 2 × 2 grid) and cluster networks (themes and connected themes based on keyword co-occurrences).

The findings show that customer satisfaction, innovation, corporate social responsibility (CSR), Internet and consumer acceptance were the main so-called motor themes in the study period. Furthermore, five areas for further research are identified and discussed: Issues related to technology; marketing and consumer behavior; markets and industry; product and service development; and branding.

Bibliometric research allows the researcher to process large volumes of articles covering a broad scope, leading to rich and insightful results. However, for greater detail and nuance, the authors recommend supplementing the results of this study with a more focused and thorough qualitative literature review for each theme of interest.

Bibliometric analysis is under-used in management research. The authors are not aware of similar recent work in consumer financial services. The main value of this paper lies in knowledge dissemination to a wider audience (including practitioners and researchers in adjacent areas) and providing a rigorous platform for identifying future research opportunities.