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This study aims to explore browsing extension plugins for searching open scholarly literature and gain an understanding of the various available extensions, their functionalities and their benefits.

Instant retrieval of scholarly literature on the internet is challenging for any researcher due to incredibly accessible free and paid content, including various forms of resources, despite the availability of federated and discovery tools. This paper aimed to explore “Access Broker Browser extensions” available for quick retrieval of open scholarly literature. This paper explicitly explains browser extensions – Google Scholar Button, Open Access Button, Open Access Helper, Core, GetFTR and EndNote Click. Furthermore, the paper elaborated on the extension’s features, functionalities and usability in finding scholarly literature. This study found that the Google Scholar Button and GetFTR extensions seems more user-friendly, effective and easy to use on all internet browsers.

This paper identifies that the “Google Scholar Button” and “GetFTR” browser extensions are more effective than any other extensions and very user-friendly to use.

This study recommends that libraries should create awareness and provide training on access broker browser extensions for discovering scholarly open literature for learning.

The academic library’s physical capacity and its service obligations to local users structured the traditional print collection. Largely freed of these constraints, the digital collection manager enjoys unprecedented freedoms but now contends with a collection susceptible to resource sprawl and scope ambiguity. This exploratory study aims to consider the possibility that intra-field social processes help to structure and routinize digital collection practice.

Lacking the constraints to which print collections are subject, electronic resource and digital library collections are more likely to reflect idiosyncratic institutional interests and therefore, to demonstrate significant variation. Evidence of homogeneity may suggest the influence of heretofore underexplored social structures. To determine the extent of such homogeneity, the author performed exploratory/descriptive content analyses on ten electronic resource collection development policies and six digital library collection development policies.

The data reveal among both the electronic resource and digital library collection policies significant uniformity. Content analyses demonstrate consistent themes (e.g. media, audience, selection priorities, etc.) and rhetoric. These findings lend support to the study’s central hypothesis regarding latent social structures. Analyses also reveal a set of unanticipated constraints unique to digital collection management.

Despite the breadth and maturity of literature addressing the Digital Turn in academic librarianship, relatively little attention has been paid to the social dimensions of collection management. This work represents an important corrective and suggests new theoretical approaches to the study of digital collection practice.

In recent years, students have found careers in the tourism and hospitality (T&H) industry less attractive. Attracting and retaining young talents has become more challenging for the T&H industry in the post-pandemic era. To help solve the talent shortage problem, it is vital to understand how students perceive careers and what influences their career planning. The career construction theory indicates an integration between personal needs and career-related expectations. It provides a theoretical framework for the present study to understand what motivates students to begin their careers in the T&H industry. This study aims to empirically examine the relationship between students’ career adaptability and optimism and their effect on future career intentions.

An online survey was conducted in mainland China to investigate the interrelationships between career adaptability, career optimism and future career intention. A total of 492 valid responses were collected from students studying T&H.

The findings revealed that career optimism positively influences career adaptability and future career intention, respectively. Conversely, career adaptability is found to have a negative impact on future career intention. Moreover, career optimism has a mediating effect on the relationship between career adaptability and future career intention. The results would benefit educators in career counselling for students and industry practitioners to develop effective career management strategies for young talents in their respective organisations.

The application of career construction theory drawn from vocational psychology is suitable to provide knowledge and insights into the development of T&H career research. This study contributes to fill the knowledge gap concerning career adaptation, career optimism and future career intention.

近年来, 旅游和酒店行业领域的工作对于学生的吸引力下降。对于旅游和酒店行业, 吸引和留住人才变得更具有挑战性。为了解决人才短缺问题, 了解学生如何看待职业以及影响他们职业规划的因素至关重要。职业建构理论指出个人需求与职业相关期望相结合。它为本研究提供了一个理论框架, 以了解是什么促使学生在旅游和酒店业开始工作。本研究实证检验了大学生职业适应力与职业乐观度的关系及其对未来职业意向的影响。

本研究采用在线问卷调查的方式, 探讨职业适应力、职业乐观度与未来职业意向之间的相互关系。问卷对象为目前在中国学习旅游和酒店管理专业的本科学生。一共收集了492份有效回复。

研究发现, 职业乐观度对职业适应力和未来职业意向有正向影响。相反, 职业适应力对未来职业意向有负向影响。此外, 职业乐观度对职业适应力与未来职业意向之间的关系具有中介作用。研究结果将有助于教育机构和相关企业设计有效的职业策略, 帮助学生为未来的职业生涯做好准备, 并加强生涯辅导。

运用职业心理学的职业建构理论, 为旅游与酒店职业研究的发展提供了知识和见解。此外, 本研究填补了职业适应力、职业乐观度与未来职业意向之间关系的知识空白。

Se realizó una encuesta online en China continental para estudiar las interrelaciones entre la adaptabilidad laboral, optimismo laboral y la intención vocacional futura. Se recogieron 492 respuestas válidas de estudiantes de turismo y hostelería.

En los últimos años, las carreras de turismo y hostelería han resultado menos atractivas para los estudiantes. Atraer y retener a los jóvenes talentos es cada vez más difícil para la industria del turismo y la hostelería en la era postpandemia. Con el fin de contribuir a resolver el problema de la escasez de talentos, es crucial comprender cómo perciben los estudiantes las carreras profesionales y qué influye en su planificación profesional. La Teoría de la Construcción de la Carrera indica una integración entre las necesidades personales y las expectativas relacionadas con la carrera. Proporciona un marco teórico para el presente estudio con el fin de comprender qué motiva a los estudiantes a iniciar su carrera profesional en el sector del turismo y la hostelería. Se examina empíricamente la relación entre la adaptabilidad profesional y el optimismo de los estudiantes y su efecto en la intención vocacional futura.

Los resultados revelan que el optimismo profesional influye positivamente en la adaptabilidad profesional y en la intención profesional futura, respectivamente. Por el contrario, la adaptabilidad profesional influye negativamente en la intención vocacional futura. Además, el optimismo profesional tiene un efecto mediador en la relación entre la adaptabilidad profesional y la intención vocacional futura. Los resultados podrían beneficiar a los educadores en la orientación profesional de los estudiantes y a los profesionales de la industria en el desarrollo de estrategias eficaces de gestión de la carrera profesional de los jóvenes talentos en sus respectivas organizaciones.

La aplicación de la Teoría de la Construcción de la Carrera extraída de la psicología vocacional es adecuada para aportar conocimientos y perspectivas al desarrollo de la investigación sobre carreras profesionales en turismo y hostelería. Este estudio contribuye a llenar el vacío de conocimientos sobre la adaptación de la carrera profesional, el optimismo profesional y la intención de carrera futura.

This study investigates the relationship between responsible leadership (RL) and employee sustainable performance (ESP), utilizing the CSR theory as a theoretical framework. Furthermore, this study aims to examine the role of ethical climate as a potential mediator in the relationship between RL and ESP.

A sample of 415 employees from the healthcare sector of India was collected through a questionnaire-based survey by using the convenience sampling technique. The data were analyzed using partial least squares structural equation modeling (PLS-SEM) with the help of SmartPLS 4.

The study's findings demonstrated a significant, positive association between RL and ESP [employee well-being (EWB) and employee performance (EP)]. Additionally, the findings show that ethical climate partially mediates the link between RL and ESP (EWB and EP).

The generalizability of the study's data collection is limited because it is based on the responses of Indian healthcare sector employees to an online and offline survey. The authors propose that the healthcare industry implement an intensive leadership training program in light of the findings of this study, which will aid human resource (HR) managers in comprehending the significance of RL and fostering related behaviors, such as encouraging employees to maintain ethical behavior and positive attitudes.

To the authors' understanding, this study is among the earliest attempts to present an integrative model that examines the relationship between RL, ethical climate and ESP in the context of Indian healthcare employees, incorporating the theory of corporate social responsibility (CSR). Moreover, the novelty of this research study examines the relationship between RL and ESP, with an ethical climate serving as a mediator. The focus is specifically on employees working in the Indian healthcare sector.

GraphQL is a new Open API specification that allows clients to send queries and obtain data flexibly according to their needs. However, a high-complexity GraphQL query may lead to an excessive data volume of the query result, which causes problems such as resource overload of the API server. Therefore, this paper aims to address this issue by predicting the response data volume of a GraphQL query statement.

This paper proposes a GraphQL response data volume prediction approach based on Code2Vec and AutoML. First, a GraphQL query statement is transformed into a path collection of an abstract syntax tree based on the idea of Code2Vec, and then the query is aggregated into a vector with the fixed length. Finally, the response result data volume is predicted by a fully connected neural network. To further improve the prediction accuracy, the prediction results of embedded features are combined with the field features and summary features of the query statement to predict the final response data volume by the AutoML model.

Experiments on two public GraphQL API data sets, GitHub and Yelp, show that the accuracy of the proposed approach is 15.85% and 50.31% higher than existing GraphQL response volume prediction approaches based on machine learning techniques, respectively.

This paper proposes an approach that combines Code2Vec and AutoML for GraphQL query response data volume prediction with higher accuracy.

Construction projects commonly encounter complicated delay problems. Over the past few decades, numerous delay analysis methods (DAMs) have been developed. There is no consensus on whether existing DAMs effectively resolve delays, particularly in the case of complex concurrent delays. Thus, the primary objective of this study is to undertake a comprehensive and systematic literature review on concurrent delays, aiming to answer the following research question: Do existing delay analysis techniques deal with concurrent delays well?

This study conducts a comprehensive review of concurrent delays by both bibliometric and systematic analysis of research publications published between 1982 and 2022 in the Web of Science (WoS) and Scopus databases. For quantitative analysis, a bibliometric mapping tool, the VOSviewer, was employed to analyze 68 selected publications to explore the co-occurrence of keywords, co-authorship and direct citation. Additionally, we conducted a qualitative analysis to answer the targeted research question, identify academic knowledge gaps and explore potential research directions for solving the theoretical and practical problems of concurrent delays.

Concurrent delays are a critical aspect of delay claims. Despite DAMs developed by a limited number of research teams to tackle issues like concurrence, float consumption and the critical path in concurrent delay resolution, practitioners continue to face significant challenges. This study has successfully identified knowledge gaps in defining, identifying, analyzing and allocating liability for concurrent delays while offering promising directions for further research. These findings reveal the incompleteness of available DAMs for solving concurrent delays.

The outcomes of this study are highly beneficial for practitioners and researchers. For practitioners, the discussions on the resolution process of concurrent delays in terms of identification, analysis and apportionment enable them to proactively address concurrent delays and lay the groundwork for preventing and resolving such issues in their construction projects. For researchers, five research directions, including advanced DAMs capable of solving concurrent delays, are proposed for reference.

Existing research on DAMs lacks comprehensive coverage of concurrent delays. Through a scientometric review, it is evident that current DAMs do not deal with concurrent delays well. This review identifies critical knowledge gaps and offers insights into potential directions for future research.

Learning to be someone in today’s world requires training, knowledge, adaptive skills, differentiated skills, and mastery of instrumental and advanced technological tools to manage complex, new, and crucial problems that societies face. Citizens need to satisfy their basic needs, and they want to feel fulfilled. These are determinants of mental health/health, essential goods for the growth and evolution of humanity, and for the survival of the planet that shelters it.

The objectives of this chapter are: (1) reflect on the influence of mental health/health in high-level training processes, which require the student to mobilize physical and mental capabilities and functions; (2) realize to what extent the use of digital technology is an essential tool for learning and developing skills for higher education students; (3) addressing the question: Are higher education institutions (HEIs) and professors prepared for the challenges they face today? And, at the confluence of the previous three: (4) analyze the health/mental health interconnections, the use of digital technologies and training paths, as pillars of human development and the progress of societies.

In HEIs, there is evidence of the intersection of students’ learning abilities with the contexts that are favourable to them, namely, due to the possibility of finding space to create, develop potentials, acquire high-level knowledge and skills, present themselves to society as reliable, credible, and promising professionals for success in the organizations they form part of.

For the preparation of this exploratory and reflective chapter, the collaboration of some higher education teachers in the Autonomous Region of Madeira (RAM) was requested, also basing it on their own experience and knowledge acquired as a teacher, researcher, and expert in the field of mental health.

The perspective presented for reflection and analysis is limited by the look and the way we interrogate and interpret the realities where we operate, for these same reasons, imbued with subjectivity.

Delay and disruption claims involve a complex process that often result in disputes, unnecessary expenses and time loss on construction projects. This study aims to review and synthesize the contributions of previous research undertaken in this area and propose future directions for improving the process of delay and disruption claims.

This study adopted a holistic systematic review of literature following Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. A total of 230 articles were shortlisted related to delay and disruption claims in construction using Scopus and Web of Science databases.

Six research themes were identified and critically reviewed including delay analysis, disruption analysis, claim management, contract administration, dispute resolution and delay and disruption information and records. The systematic review showed that there is a dearth of research on managing the wide-ranging information required for delay and disruption claims, ensuring the transparency and uniformity in delay and disruption claims’ information and adopting an end-user’s centred research approach for resolving the problems in the process of delay and disruption claims.

Complexities in delay and disruption claims are real-world problems faced by industry practitioners. The findings will help the research community and industry practitioners to prioritize their energies toward information management of delay and disruption claims.

This study contributes to the body of knowledge in delay and disruption claims by identifying the need for conducting more research on its information requirements and management. Subsequently, it provides an insight on the use of modern technologies such as drones, building information modeling, radio frequency identifiers, blockchain, Bigdata and machine learning, as tools for more structured and efficient attainment of required information in a transparent and consistent manner. It also recommends greater use of design science research approach for delay and disruption claims. This will help to ensure delay and disruption claims are the least complex and less dispute-prone process.

This paper aims to further the understanding of Open Government Data (OGD) adoption by the government by invoking two quantum physics theories – percolation theory and expander graph theory.

Extant research on the barriers to adoption and rollout of OGD is reviewed to drive home the research question for the present study. Both the theories are summarized, and lessons are derived therefrom for answering the research question.

The percolation theory solves the riddle of why the OGD initiatives find it difficult to seep across the hierarchical and geographical levels of any administrative division. The expander graph theory builds the understanding of the need for having networking among and within the key government personnel for bolstering the motivation and capacity building of the operational personnel linked with the OGD initiative. The theoretical understanding also aids in the implementation and institutionalization of OGD in general.

Intersectionality of domains for conducting research on any theme is always a need. Given the fact that there are innumerable challenges regarding the adoption of OGD by the governments across the world, the application of the two theories of quantum physics might solve the quandary in a befitting way.

This study aims to develop a taxonomy of requirements for mobile BIM technologies (MBT), clarify the relating terms and concepts, and identify the interactions between MBT features and the construction management functions on sites.

A positivist approach with elements of interpretivism is adopted to allow to capture what is perceived as “reality” in relation to individuals’ interpretation and experience in the use and implementation of MBT. This is achieved by using a mixed qualitative-quantitative approach that can capture the various understandings of MBT. The research methods included a longitudinal case study over 12 months, two project workshops, expert interviews and an industry survey that together helped to investigate MBT at project, enterprise and industry levels.

The MBT requirements taxonomy included requirements relating to both project and organisation. Project requirements addressed MBT functionalities for sites and information management, while organisation requirements focused on the integration of MBT solutions with the enterprise from information technology, legal and security perspectives. A detailed matrix showing the interactions between five key MBT features and seven construction management functions was also developed.

The two constructs developed by this study can help researchers to structure their investigation of key uses of MBT applications and their benefits. It can be used by researchers aiming to investigate integrated approaches to the digitalisation of construction sites, such as those enabled by Digital Twins. The interaction matrix can aid researchers in evaluating the intersections between the MBT functionalities and the site construction management functions (e.g. theoretical analysis of interactions from Lean Construction, benefit evaluation perspective). More broadly, the two constructs can support research and practice investigating the development of data-driven approaches on construction sites.

The developed MBT taxonomy can guide construction organisations in selecting suitable MBT for Field BIM for their projects. It can also act as a baseline against which varying MBT solutions can be compared.

Constructs such as taxonomies for MBTs; an understanding of MBT capabilities and use within the industry; and a lack of delineation between related terms, such as Mobile BIM, Field BIM, Site BIM, Cloud BIM and Mobile Apps, were lacking in the literature. This study contributed to addressing this gap.