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The aim of this paper is to improve the understanding of strategies for how established companies can respond to disruptive innovation, handle increasing complexity, facilitate entrepreneurial culture and processes and successfully manage organizational ambidexterity.

A qualitative multiple-case study was conducted to explore successful practices of innovation ambidexterity (IA) and their organizational design, entrepreneurial culture and mindset, processes and leadership. Two internationally established firms that have launched and established IA programs provided deep insight, revealing their strategy and learning on the path toward effective IA.

The findings show that accepting and managing the inherent complexity increases within an ambidextrous organization strategy is a decisive factor in achieving effective IA. As a result, segmenting small organizational units and granting them extensive autonomy is proposed for managing the complexity of an organization while increasing its effectiveness. Furthermore, it is shown that this helps foster entrepreneurial culture, mindsets and processes as additional mediators for achieving effective IA. Coaching, empowerment and trust were identified as key factors of ambidextrous leadership values that encourage entrepreneurial behavior and decision-making.

To the best of the authors knowledge the first study connecting the research fields of complexity management, organizational ambidexterity theory and entrepreneurial culture while applying the fundamentals of systems theory to propose a practical management framework for successfully responding to disruptive innovation.

This bibliometric study provides an overview of research related to digital transformation (DT) in the tourism industry from 2013 to 2022. The goals of the research are as follows: (1) to identify the development of academic papers related to DT in the tourism industry, (2) to analyze dominant research topics and the development of research interest and research impact over time and (3) to analyze the change in research topics during the pandemic.

In this study, the authors processed 3,683 papers retrieved from the Web of Science and Scopus. The authors performed different types of bibliometric analyses to identify the development of papers related to DT in the tourism industry. To reveal latent topics, the authors implemented topic modeling based on latent Dirichlet allocation with Gibbs sampling.

The authors identified eight topics related to DT in the tourism industry: City and urban planning, Social media, Data analytics, Sustainable and economic development, Technology-based experience and interaction, Cultural heritage, Digital destination marketing and Smart tourism management. The authors also identified seven topics related to DT in the tourism industry during the Covid-19 pandemic; the largest ones are smart analytics, marketing strategies and sustainability.

To identify research topics and their development over time, the authors applied a novel methodological approach – a smart literature review. This machine learning approach is able to analyze a huge amount of documents. At the same time, it can also identify topics that would remain unrevealed by a standard bibliometric analysis.

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.

The main aim of this research was to investigate whether and how digitalization affects sustainability and performance in wine tourism.

Based on the data emerging from the 2019 National Report on Wine Tourism from the National Association of “Wine Cities” in Italy (the most extreme case in the world of wine), three macro-agglomerates were investigated: digitalization, sustainability and performance, adopting descriptive and inferential statistics.

Although rigorous correlation between adopted digitalization and performed sustainability on one side and performed sustainability and market performance on the other cannot be verified for the 92 wineries under investigation, there is visible evidence that the more digitalized wineries are, the more sustainable they become and the better their performance. Evidence was not found to support the idea that the more sustainable wineries are, the more they are digitalized and the better their performance. Research implications and limitations to theoretical and practical application have been discussed.

Wine tourism, which is naturally associated with rural tourism, is a form of tourism in which sustainability has strong relevance, particularly considering the future needs/desires of post-pandemic tourists. At the same time, digitalization, especially in pandemic and post-pandemic tourism, is credited with developing a huge impact in this business, although wine tourism is most probably conceivable as a meta-market, with a strong cultural essence. In this respect, a digitalization > sustainability > performance approach seems practicable and globally profitable.

Diagnosing pain in neonates is difficult but critical. Although approximately thirty manual pain instruments have been developed for neonatal pain diagnosis, most are complex, multifactorial, and geared toward research. The goals of this work are twofold: 1) to develop a new video dataset for automatic neonatal pain detection called iCOPEvid (infant Classification Of Pain Expressions videos), and 2) to present a classification system that sets a challenging comparison performance on this dataset. The iCOPEvid dataset contains 234 videos of 49 neonates experiencing a set of noxious stimuli, a period of rest, and an acute pain stimulus. From these videos 20 s segments are extracted and grouped into two classes: pain (49) and nopain (185), with the nopain video segments handpicked to produce a highly challenging dataset. An ensemble of twelve global and local descriptors with a Bag-of-Features approach is utilized to improve the performance of some new descriptors based on Gaussian of Local Descriptors (GOLD). The basic classifier used in the ensembles is the Support Vector Machine, and decisions are combined by sum rule. These results are compared with standard methods, some deep learning approaches, and 185 human assessments. Our best machine learning methods are shown to outperform the human judges.