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In order to estimate the value of semi-automated subject indexing in operative library catalogues, the study aimed to investigate five different automated implementations of an open source software package on a large set of Swedish union catalogue metadata records, with Dewey Decimal Classification (DDC) as the target classification system. It also aimed to contribute to the body of research on aboutness and related challenges in automated subject indexing and evaluation.

On a sample of over 230,000 records with close to 12,000 distinct DDC classes, an open source tool Annif, developed by the National Library of Finland, was applied in the following implementations: lexical algorithm, support vector classifier, fastText, Omikuji Bonsai and an ensemble approach combing the former four. A qualitative study involving two senior catalogue librarians and three students of library and information studies was also conducted to investigate the value and inter-rater agreement of automatically assigned classes, on a sample of 60 records.

The best results were achieved using the ensemble approach that achieved 66.82% accuracy on the three-digit DDC classification task. The qualitative study confirmed earlier studies reporting low inter-rater agreement but also pointed to the potential value of automatically assigned classes as additional access points in information retrieval.

The paper presents an extensive study of automated classification in an operative library catalogue, accompanied by a qualitative study of automated classes. It demonstrates the value of applying semi-automated indexing in operative information retrieval systems.

During the evaluation of European Capital of Culture (ECoC) Aarhus 2017, the evaluation organisation rethinkIMPACTS 2017 formulated a set of “dilemmas” capturing the main challenges arising during the design of the ECoC evaluation. This functioned as a framework for the evaluation process. This paper aims to present and discuss the relevance of the “Evaluation Dilemmas Model” as subsequently applied to the Galway 2020 ECoC programme evaluation.

The paper takes an empirical approach including auto-ethnography and interview data to document and map the dilemmas involved in undertaking an evaluation in two different European cities. Evolved via a process of practice-based research, the article addresses the development of and the arguments for the dilemmas model and considers its potential for wider applicability in the evaluation of large-scale cultural projects.

The authors conclude that the “Evaluation Dilemmas Model” is a valuable heuristic for considering the endogenous and exogenous issues in cultural evaluation.

The model developed is useful for a wide range of cultural evaluation processes including – but not limited to – European Capitals of Culture.

What has not been addressed in the academic literature is the process of evaluating ECoCs; especially how evaluators often take part in an overall process that is not just about the evaluation but also planning and delivering a project that includes stakeholder management and the development of evaluation criteria, design and methods.

The objective of this research is to investigate the capabilities of the ChatGPT GPT-4 model, a form of artificial intelligence (AI), in comparison to human experts in the context of construction project risk management.

Employing a mixed-methods approach, the study draws a qualitative and quantitative comparison between 16 human risk management experts from Finnish construction companies and the ChatGPT AI model utilizing anonymous peer reviews. It focuses primarily on the areas of risk identification, analysis, and control.

ChatGPT has demonstrated a superior ability to generate comprehensive risk management plans, with its quantitative scores significantly surpassing the human average. Nonetheless, the AI model's strategies are found to lack practicality and specificity, areas where human expertise excels.

This study marks a significant advancement in construction project risk management research by conducting a pioneering blind-review study that assesses the capabilities of the advanced AI model, GPT-4, against those of human experts. Emphasizing the evolution from earlier GPT models, this research not only underscores the innovative application of ChatGPT-4 but also the critical role of anonymized peer evaluations in enhancing the objectivity of findings. It illuminates the synergistic potential of AI and human expertise, advocating for a collaborative model where AI serves as an augmentative tool, thereby optimizing human performance in identifying and managing risks.

Machine learning (ML) analytical tools are increasingly being considered as an alternative quantitative methodology in management research. This paper proposes a new approach for uncovering the antecedents behind product and product–service innovation (PSI).

The ML approach is novel in the field of innovation antecedents at the country level. A sample of the Equatorian National Survey on Technology and Innovation, consisting of more than 6,000 firms, is used to rank the antecedents of innovation.

The analysis reveals that the antecedents of product and PSI are distinct, yet rooted in the principles of open innovation and competitive priorities.

The analysis is based on a sample of Equatorian firms with the objective of showing how ML techniques are suitable for testing the antecedents of innovation in any other context.

The novel ML approach, in contrast to traditional quantitative analysis of the topic, can consider the full set of antecedent interactions to each of the innovations analyzed.

This paper aims to address the novel phenomenon of tourism in the metaverse and analyse possible scenarios that could influence the resilience of a sustainable tourism paradigm in response to this new phenomenon.

Based on Kuhn’s paradigmatic framework, this paper offers an innovative perspective for the integration of new theories and practise-relevant phenomena. It emphasises the relevance and commensurability of different paradigmatic dimensions and outlines the scenarios for the integration of metaversal sustainability.

The phenomenon of tourism in the metaverse of the 21st century poses a new challenge to the existing paradigm of sustainable tourism, which traditionally focuses on the economic and ecological sustainability of planet Earth’s physical environment. The adoption of a metaversal sustainability scenario for the virtual and mixed reality is key to a responsible implementation of the paradigm of sustainable tourism development that considers all its environments, whether fantastic or realistic.

This study has its limitations, as metaversal tourism is still in the experimental phase. A more comprehensive understanding of the metaverse and its terminology is still evolving. There is potential to adapt the sustainable tourism paradigm to new technological environments if the metaverse is recognized as one in the future.

There are practical implications for tourism policy and practise. Tourism stakeholders need to adapt to the changing tourism landscape by recognising the metaverse as a viable environment committed to sustainable development. This will enable innovative strategies to govern, lead, promote and manage metaversal tourism and ensure that it is in line with the long-term goal of sustainability.

The metaverse holds considerable potential for transforming social perception and behaviour. Integrating the metaverse into the sustainability pillars of the sustainable development paradigm implies a forward-looking approach that takes into account the dynamics of people’s evolving desires and preferences. This inclusion advocates for sustainable development in all environments in which people live and explore.

This research stands out for its pioneering role in advancing a sustainable tourism paradigm that goes beyond the traditional planetary dimensions. By examining the impact of tourism in the metaverse, it proposes a path towards a more holistic and future-oriented paradigm of sustainable tourism in both the physical and virtual worlds. The coining of the term “metaversal sustainability” contributes to the lexicon of paradigms for both tourism and societal sustainable development.

本文阐述了旅游在元宇宙中的新现象, 并分析了可能影响可持续旅游范式应对这一新现象的弹性的可能情景。

传统的可持续旅游范式侧重于地球物理环境的经济和生态可持续性, 而21世纪的旅游现象对现有的可持续旅游范式提出了新的挑战。采用虚拟和混合现实的元宇宙可持续性情景是负责任地实施可持续旅游发展范式的关键, 该范式考虑了所有环境, 无论是梦幻还是现实环境。

由于跨时空旅游还处于实验阶段, 本研究存在一定的局限性。对元宇宙及其术语的更全面的理解仍在不断发展。如果未来的元宇宙环境被视为一种新的技术环境, 那么就有可能发现新的创新的、意想不到的实际解决方案, 使可持续旅游模式适应新的技术环境。

这对旅游政策和实践具有实际启发。旅游利益相关者需要通过认识到元宇宙是一个致力于可持续发展的可行环境, 以适应不断变化的旅游景观。这将使治理、领导、促进和管理元宇宙旅游的创新战略成为可能, 并确保元宇宙旅游符合可持续发展的长期目标。

元宇宙在改变社会认知和行为方面具有相当大的潜力。将元宇宙纳入可持续发展范式的可持续性支柱意味着一种考虑到人们不断变化的欲望和偏好的动态的前瞻性方法。这种包容提倡在人们生活和探索的所有环境中实现可持续发展。

独创性：这项研究在推动超越传统地球维度的可持续旅游范式方面发挥了开创性的作用。通过探究旅游在虚拟世界中的影响, 它提出了一条在现实世界和虚拟世界中实现更全面和面向未来的可持续旅游范式的途径。“元宇宙可持续性”一词的创造有助于增加旅游业和社会可持续发展的范式词典。

Basado en el marco paradigmático de Kuhn, este artículo ofrece una perspectiva innovadora sobre la integración de nuevas teorías y fenómenos relevantes para la práctica. Se destaca la relevancia y conmensurabilidad de las diferentes dimensiones paradigmáticas y esboza escenarios para la integración de la sostenibilidad del metaverso. Esta conceptualización se presenta visualmente en una ilustración que combina entornos de sostenibilidad virtuales y físicos. La visualización se complementa con una imagen que muestra a un turista en el metaverso, creada con el generador de imágenes DALL-E OpenAI.

Este trabajo de perspectiva aborda el novedoso fenómeno del turismo en el metaverso y analiza posibles escenarios que podrían influir en la resiliencia de un paradigma de turismo sostenible en respuesta a este nuevo fenómeno.

El fenómeno del turismo en el metaverso del siglo XXI plantea un nuevo reto al paradigma existente del turismo sostenible, que tradicionalmente se centra en la sostenibilidad económica y ecológica del entorno físico del planeta Tierra. La adopción de un escenario de sostenibilidad metaversal para la realidad virtual y mixta es clave para una aplicación responsable del paradigma de desarrollo turístico sostenible que tenga en cuenta todos sus entornos, ya sean ficticios o realistas.

Este estudio presenta limitaciones dado que el turismo metaversal se encuentra todavía en fase experimental. Una comprensión más completa del metaverso y su terminología está aún en evolución. Existe potencial para descubrir nuevas soluciones prácticas innovadoras e imprevistas para adaptar el paradigma del turismo sostenible a los nuevos entornos tecnológicos, si es que el entorno del metaverso se considera como tal en el futuro.

Existen implicaciones prácticas para la política y la práctica del turismo. Los agentes del turismo deben adaptarse al cambiante panorama turístico reconociendo el metaverso como un entorno viable y comprometido con el desarrollo sostenible. Esto permitirá aplicar estrategias innovadoras para gobernar, liderar, promover y gestionar el turismo del metaverso, así como garantizar que esté en consonancia con el objetivo a largo plazo de la sostenibilidad.

El metaverso encierra un potencial considerable para transformar la percepción y el comportamiento social. La integración del metaverso en los pilares de sostenibilidad del paradigma del desarrollo sostenible implica un enfoque prospectivo que tenga en cuenta la dinámica de los deseos y preferencias cambiantes de las personas. Esta inclusión aboga por el desarrollo sostenible en todos los entornos en los que viven y exploran las personas.

Esta investigación destaca por su papel pionero en el avance de un paradigma de turismo sostenible que va más allá de las dimensiones planetarias tradicionales. Al examinar el impacto del turismo en el metaverso, se propone un camino hacia un paradigma de turismo sostenible más holístico y orientado al futuro, tanto en el mundo físico como en el virtual. La acuñación del término “sostenibilidad metaversal” contribuye al léxico del paradigma tanto del turismo como del desarrollo sostenible de la sociedad.

This empirical study explores the profound impact of management functions on the productivity of yard cargo handling equipment within container terminals.

By closely examining crucial management aspects such as planning, organizing, leading, and controlling, a comprehensive managerial behavior framework was developed through focus group studies (FGS) and focal interviews. These qualitative methods were complemented by the distribution of questionnaires to practitioners in Vietnam. To validate the concept of management functions and analyze their influence on effective management practices for equipment efficiency, a structural equation model (SEM) technique was employed using partial least-squares estimation (PLS).

The findings of this study demonstrate that planning (PL), organizing (OR), and controlling (CT) significantly contribute to the productivity of yard cargo handling equipment, while leading (LD) does not exhibit a direct positive impact.

Theoretically, this study contributes by providing clarity to the definition, purpose, and value of management functions in the field of cargo handling equipment management. Furthermore, these research findings offer valuable insights to terminal operators and managers, enabling them to optimize their management strategies and enhance productivity levels, ultimately resulting in improved operational outcomes.

The purpose of this co-produced research project was to conduct interviews with people working in, volunteering with and accessing Canadian recovery colleges (RCs) to explore their perspectives on what an evaluation strategy for RCs could look like.

This study used a participatory action research approach and involved semistructured interviews with 29 people involved with RCs across Canada.

In this paper, the authors share insights from participants about the purposes of RC evaluation; key elements of evaluation; and the most applicable and effective approaches to evaluation. Participants indicated that RC evaluations should use a personalized, humanistic and accessible approach. The findings suggest that evaluations can serve multiple purposes and have the potential to support both organizational and personal-recovery goals if they are developed with meaningful input from people who access and work in RCs.

The findings can be used to guide evaluations in which aspects that are most important to those involved in RCs could inform choices, decisions, priorities, developments and adaptations in RC evaluation processes and, ultimately, in programming.

A recent scoping review revealed that although coproduction is a central feature of the RC model, coproduction principles are rarely acknowledged in descriptions of how RC evaluation strategies are developed. Exploring coproduction processes in all aspects of the RC model, including evaluation, can further the mission of RCs, which is to create spaces where people can come together and engage in mutual capacity-building and collaboration.