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Academic and research libraries have been experiencing a lot of changes over the last two decades. The users have become technology savvy and want to discover and use library collections via web portals instead of coming to library gateways. To meet these rapidly changing users’ needs, academic and research libraries are busy identifying new service models and areas of improvement. Cataloging and metadata services units in academic and research libraries are no exception. As discovery of library collections largely depends on the quality and design of metadata, cataloging and metadata services units must identify new areas of work and establish new roles by building sustainable workflows that utilize available metadata technologies. The paper aims to discuss these issues.

This paper discusses a list of challenges that academic libraries’ cataloging and metadata services units have encountered over the years, and ways to build sustainable workflows, including collaborations between units in and outside of the institution, and in the cloud; tools, technologies, metadata standards and semantic web technologies; and most importantly, exploration and research. The paper also includes examples and uses cases of both traditional metadata workflows and experimentation with linked open data that were built upon metadata technologies and will ultimately support emerging user needs.

To develop sustainable and scalable workflows that meet users’ changing needs, cataloging and metadata professionals need not only to work with new information technologies, but must also be equipped with soft skills and in-depth professional knowledge.

This paper discusses how cataloging and metadata services units have been exploiting information technologies and creating new scalable workflows to adapt to these changes, and what is required to establish and maintain these workflows.

Early Modern emblem books are primary sources for scholars studying the European Renaissance. Linked Open Data (LOD) is an approach for organizing and modeling information in a data-centric manner compatible with the emerging Semantic Web. The purpose of this paper is to examine ways in which LOD methods can be applied to facilitate emblem resource discovery, better reveal the structure and connectedness of digitized emblem resources, and enhance scholar interactions with digitized emblem resources.

This research encompasses an analysis of the existing XML-based Spine (emblem-specific) metadata schema; the design of a new, domain-specific, Resource Description Framework compatible ontology; the mapping and transformation of metadata from Spine to both the new ontology and (separately) to the pre-existing Schema.org ontology; and the (experimental) modification of the Emblematica Online portal as a proof of concept to illustrate enhancements supported by LOD.

LOD is viable as an approach for facilitating discovery and enhancing the value to scholars of digitized emblem books; however, metadata must first be enriched with additional uniform resource identifiers and the workflow upgrades required to normalize and transform existing emblem metadata are substantial and still to be fully worked out.

The research described demonstrates the feasibility of transforming existing, special collections metadata to LOD. Although considerable work and further study will be required, preliminary findings suggest potential benefits of LOD for both users and libraries.

This research is unique in the context of emblem studies and adds to the emerging body of work examining the application of LOD best practices to library special collections.

There is limited research on the behavior of different categories of space tourists as identified by different types of space tourism. To address this deficiency, the purpose of this study is to examine what factors make consumers participate in orbital and/or suborbital space tourism, along with three dimensions of motivation, constraint and artificial intelligence. To achieve this study’s goals, a comprehensive research model was developed that included three dimensions of intrinsic and extrinsic motivation, intrapersonal and interpersonal constraint and awareness of and trust in artificial intelligence, in comparing orbital and suborbital space tourism groups.

A questionnaire was carried out with respondents who wanted to participate in orbital (n = 332) and suborbital (n = 332) space tourism in the future. Partial least squares-structural equation modeling, fuzzy-set qualitative comparative analysis, multi-group analysis and deep learning were used to understand potential space tourist behavior.

Extrinsic motivation has the greatest positive impact on behavioral intention, followed by awareness of and trust in artificial intelligence, while intrapersonal constraint strongly negatively affects behavioral intention. Surprisingly, interpersonal constraint is insignificant by partial least squares-structural equation modeling but is still one of sufficient causal configurations by fuzzy-set qualitative comparative analysis. Interestingly, the two types of space tourism have very distinct characteristics.

This study created a comprehensive integrated research model with three dimensions of motivation, constraint and artificial intelligence, along with potential orbital and suborbital space tourist groups, to identify future consumer behavior. Importantly, this study used multi-analysis methods using four different approaches to better shed light on potential orbital and suborbital space tourists.

对不同类型太空旅游所识别的不同类别太空游客行为的研究有限。 为了解决这一缺陷, 这项工作研究了哪些因素使消费者参与轨道和/或亚轨道太空旅游, 以及动机、约束和人工智能三个维度。 为了实现研究目标, 在比较轨道和亚轨道太空旅游群体时, 开发了一个综合研究模型, 包括内在和外在动机、内在和人际约束以及对人工智能的认识和信任三个维度。

对希望在未来参与轨道 (n = 332) 和亚轨道 (n = 332) 太空旅游的受访者进行了问卷调查。 利用偏最小二乘法 (PLS)-结构方程模型 (SEM)、模糊集定性比较分析 (fsQCA)、多组分析和深度学习来了解潜在的太空游客行为。

外在动机对行为意图的积极影响最大, 其次是对人工智能的认识和信任, 而内在约束对行为意图有强烈的负面影响。 令人惊讶的是, 人际约束对于 PLS-SEM 来说是微不足道的, 但对于 fsQCA 来说仍然是充分的因果配置之一。 有趣的是, 这两类太空旅游具有非常鲜明的特点。

这项工作创建了一个全面的综合研究模型, 具有动机、约束和人工智能三个维度, 以及潜在的轨道和亚轨道太空旅游群体, 以确定未来的消费者行为。 重要的是, 这项研究采用了多种分析方法, 使用四种不同的方法来更好地揭示潜在的轨道和亚轨道太空游客。

existe una investigación limitada sobre el comportamiento de las diferentes categorías de turistas espaciales identificados por diferentes tipos de turismo espacial. Para abordar esta deficiencia, este trabajo examina qué factores hacen que los consumidores participen en el turismo espacial orbital y/o suborbital, junto con tres dimensiones de motivación, restricción e inteligencia artificial. Para lograr los objetivos del estudio, se desarrolló un modelo de investigación integral que incluía tres dimensiones de motivación intrínseca y extrínseca, restricción intrapersonal e interpersonal, y conocimiento y confianza en la inteligencia artificial, al comparar grupos de turismo espacial orbital y suborbital.

se realizó un cuestionario con los encuestados que querían participar en el turismo espacial orbital (n = 332) y suborbital (n = 332) en el futuro. Se utilizaron modelos de ecuaciones estructurales (SEM) de mínimos cuadrados parciales (PLS), análisis comparativo cualitativo de conjuntos borrosos (fsQCA), análisis multigrupo y aprendizaje profundo para comprender el comportamiento potencial del turista espacial.

la motivación extrínseca tiene el mayor impacto positivo en la intención de comportamiento, seguida de la conciencia y la confianza en la inteligencia artificial, mientras que la restricción intrapersonal afecta negativamente la intención de comportamiento. Sorprendentemente, la restricción interpersonal es insignificante por PLS-SEM, pero sigue siendo una de las configuraciones causales suficientes por fsQCA. Curiosamente, los dos tipos de turismo espacial tienen características muy distintas.

este trabajo creó un modelo de investigación integral integral con tres dimensiones de motivación, restricción e inteligencia artificial, junto con posibles grupos de turistas espaciales orbitales y suborbitales para identificar el comportamiento futuro del consumidor. Es importante destacar que este estudio empleó métodos de análisis múltiple utilizando cuatro enfoques diferentes para arrojar mejor luz sobre los posibles turistas espaciales orbitales y suborbitales.

The purpose of this study is to investigate the relationships among determinant (ease of use), extrinsic (usefulness) and intrinsic motivations (enjoyment), attachment and usage intention regarding seniors’ use of mobile devices for tourism. In addition, this study examines the moderating role of knowledge in these relationships.

The researchers collected data via online surveys to reach the target population of this study, 55 years and older adults who had used mobile devices for tourism. The researchers used the partial least squares approach for this study.

The results reveal that ease of use has significant effects on extrinsic and intrinsic motivations. The motivations of usefulness and enjoyment significantly affect attachment, which, in turn, influences usage intention. The relationships between ease of use and usefulness, ease of use and enjoyment and enjoyment and attachment were stronger for the high-knowledge group than for the low-knowledge group. The relationship between usefulness and attachment was stronger for the low-knowledge group than for the high-knowledge group.

The findings of this study provide compelling implications for academics and practitioners in the senior tourism field.

The compelling insight of this study is the development of a research model that combines an emergent construct of attachment as a mediator and knowledge of technology as a moderator.

The purpose of this paper is to examine the structural relationships among lifestyle of health and sustainability (LOHAS), healthy food choices, trust, and emotional loyalty and the moderating role of age between seniors and non‐seniors in restaurants.

Partial least squares (PLS)‐graph software (version 3.0) was used to analyze the measurements and structural models. The authors employed a PLS regression analysis for both the formative and reflective constructs in the empirical test of the research model.

The study revealed that the senior market segment differs from the non‐senior market segment in the following ways: the magnitude of impact of LOHAS on healthy food choices is much stronger for senior diners than for non‐senior diners and the impact of LOHAS on trust and emotional loyalty is greater for seniors than non‐seniors.

The results of this study can guide the restaurant industry in its research on the implications of LOHAS for seniors.

Restaurant marketers should develop different strategies for the senior and non‐senior market segments, and they need to focus on target segments rather than attempting to appeal to the market as a whole.

This paper assists researchers and practitioners by shedding light on the differences among LOHAS, healthy food choices, trust, and emotional loyalty between senior and non‐senior diners.

This paper aims to identify which intrinsic motivations (ride comfort, safety and app convenience) and extrinsic motivation (monetary value) are sufficient and necessary to stimulate the reuse intention of smart mobility services. It also aims to understand the effect of gender on the impacts of these motivations on reuse intention.

This research utilized a multi-analytical approach with the combination of survey and qualitative analysis methods to enquire into the roles of intrinsic and extrinsic motivations influencing the reuse intention of smart mobility among different gender groups. Specifically, the study was conducted through the application of partial least squares structural equation modeling (PLS-SEM), multigroup analysis (MGA) and fuzzy-set qualitative comparative analysis (fsQCA).

The findings of this research revealed that monetary value and ride comfort have a positive impact on travel consumers’ intention to reuse smart mobility for both gender groups. While ride comfort was the sole necessary factor for male users, ride comfort and app convenience were necessary conditions for females in their intention to reuse smart mobilities. Moreover, results indicated that females tend to rate safety and app convenience higher than males in their decision to reuse smart mobility.

Using an analytical research approach enables the development of in-depth insights into how different relationships and configurations of motivational factors impact travel consumers’ reuse intentions based on different gender roles. To the best of the authors’ knowledge, this is the first empirical research to identify the necessary motivations for reusing smart mobility services.

本研究旨在识别内在动机（乘车舒适性、安全性、应用便利性）和外在动机（货币价值）对激发智能出行服务再使用意图的充要条件。同时, 研究还旨在理解性别对这些动机影响再使用意图的作用。

本研究采用了多重分析方法, 结合了问卷调查和定性分析方法, 探讨了内在和外在动机在不同性别群体中对智能出行再使用意图的影响作用。具体而言, 本研究应用了偏最小二结构方程模型（PLS-SEM）、多组分析（MGA）以及模糊集定性比较分析（fsQCA）。

研究结果表明, 货币价值和乘车舒适性对旅行消费者再次使用智能出行的意图有正向影响。在男性用户中, 乘车舒适性是唯一的必要因素, 而对于女性用户, 乘车舒适性和应用便利性均是再使用智能出行的必要条件。此外, 结果显示女性在决定再次使用智能出行时倾向于比男性更看重安全性和应用便利性

通过采用分析性研究方法, 本研究深入洞察了动机因素的不同关系和组合如何基于性别差异影响旅行消费者的再使用意图。这是首个实证研究, 识别了再使用智能出行服务的必要动机。

This study aims to examine the current state of the research activities of scholars in the hospitality and tourism field by analyzing the first 20 years of the new millennium.

Longitudinal analyses using 14,229 journal articles as data source were realized by adopting BibExcel, Gephi and VOSviewer network analysis software packages.

This study provides a comprehensive overview of the hospitality and tourism research based on authorship and social network analysis, with patterns of prolific authors compared over four distinct periods.

The hospitality and tourism academic society is clearly illustrated by tracing academic publication activities across 20 years in the new millennium. In addition, this study provides a guide for scholars to search for multidisciplinary collaboration opportunities. Government agencies and non-governmental organisations can also benefit from this study by identifying appropriate review panel members when making decisions about hospitality- and tourism-related proposals.

To the best of authors’ knowledge, this study is the first to use bibliometric analysis in assessing research published in leading hospitality and tourism journals across the four breakout periods in the new millennium.