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A daily vlog is a new type of film tourism that has been underexplored in the literature. This study aims to explore the key elements of daily vlogs that trigger a followers’ travel intention within the framework of enduring involvement. The study will highlight the affect-inspiring role of para-social relationships (PSR), extending the scope of film tourism research.

In Study 1, the objective was to investigate the essential components of enduring involvement in destination-life scenarios. This was accomplished through the analysis of qualitative data, including interview data collected from 15 participants and more than 20,000 words extracted from online blogs, barrages and comments. Additionally, Study 2 used 376 questionnaires to test the proposed structural model.

Within daily vlog-induced tourism, PSR assumes a pivotal role as a catalyst for evoking emotions. This phenomenon is interwoven with enduring involvement and has a direct impact on the determination of travel intention. Within the contextual framework of enduring involvement, constituents such as destination-life self-disclosure, situational resonance and affective belonging converge synergistically. These elements collectively underpin the process through which followers harness PSR as a driving force for nurturing travel intentions within the realm of daily vlog-induced tourism.

This study proposes the concept of daily vlog-induced tourism and emphasizes the emotion-inspiring role of PSR, to extend film tourism research to include daily vlogs. The study then explores the influencing factors of daily vlog-induced tourism under the framework of enduring involvement, providing a new understanding of enduring involvement in daily vlog-induced tourism.

日常视频博客是一种新型的电影旅游, 但文献中对它的研究还不够。本研究旨在持久卷入的框架内探讨日常视频博客触发追随者旅游意向的关键因素。本研究将强调辅助准社会关系的情感激励作用, 从而扩展电影旅游研究的范围。

研究1的目的是调查目的地生活场景中持久参与的基本要素。为此, 研究人员分析了定性数据, 包括从15名参与者那里收集的访谈数据, 以及从在线博客、弹幕（即时更新的互动评论系统）和评论中提取的 20,000 多字的数据。此外, 研究2利用 376 份调查问卷对所提出的结构模型进行了检验。

在由日常博客引发的旅游中, 准社会关系作为唤起情感的催化剂发挥着举足轻重的作用。这一现象与持久参与交织在一起, 并对旅游意向的产生产生直接影响。在持久参与的情境框架内, 目的地生活的自我披露、情境共鸣和情感归属等要素协同作用。这些要素共同支撑着追随者利用准社会关系的过程, 准社会关系在日常视频博客引发的旅游领域中是培育旅游意愿的驱动力。

本研究提出了“日常视频博客诱导旅游” 的概念, 并强调了准社会关系的情感激励作用, 从而将电影旅游研究扩展至日常微博。随后, 研究在持久参与的框架下探讨了日常视频博客诱发旅游的影响因素, 为日常视频博客诱发旅游中的持久参与提供了新的理解。

Los “vlogs” diarios son un nuevo tipo de turismo cinematográfico poco explorado en la bibliografía. Este estudio pretende explorar los elementos clave de los vlogs diarios que desencadenan la intención de viaje de los seguidores en el marco de la implicación duradera. El estudio destacará el papel inspirador de afecto de las relaciones para-sociales (RPS), ampliando el alcance de la investigación sobre el turismo cinematográfico.

En el Estudio 1, el objetivo era investigar los componentes esenciales de la implicación duradera en escenarios de vida en destino. Para ello se analizaron datos cualitativos, incluidos datos de entrevistas realizadas a 15 participantes y más de 20.000 palabras extraídas de blogs, “barrages” (un sistema de comentarios interactivos actualizados al instante) y comentarios. Además, el Estudio 2 utilizó 376 cuestionarios para poner a prueba el modelo estructural propuesto.

Dentro del turismo cotidiano inducido por los “vlogs”, la RSP asume un papel fundamental como catalizador para evocar emociones. Este fenómeno se entrelaza con la implicación duradera y tiene un impacto directo en la determinación de la intención de viaje. En el marco contextual de la implicación duradera convergen sinérgicamente elementos como la autodivulgación de la vida en el destino (AD), la resonancia situacional y la pertenencia afectiva. Estos elementos apuntalan colectivamente el proceso a través del cual los seguidores aprovechan el PSR como fuerza motriz para alimentar las intenciones de viaje en el ámbito del turismo cotidiano inducido por los “vlogs”.

Este estudio propone el concepto de turismo diario inducido por “vlogs” y hace hincapié en el papel inspirador de emociones del PSR, para ampliar la investigación sobre el turismo cinematográfico e incluir los “vlogs” diarios. A continuación, el estudio explora los factores que influyen en el turismo diario inducido por “vlogs” bajo el marco de la implicación duradera, proporcionando una nueva comprensión de la implicación duradera en el turismo diario inducido por “vlogs”.

This study aims to assess whether technological incentives inspire communities in the process of digital inclusion. The factors analyzed by the authors assess five dimensions: technology incentives, technology utilization, searching skills, social integration, and capabilities.

Data were collected from 329 respondents in 14 public libraries and analyzed using structural equation modeling to validate the proposed research model and its relationships with the factors the authors analyzed.

The results showed that technological incentives significantly impact on technology utilization, searching skills, social integration, and capabilities to support community digital inclusion in Pakistan.

Technological incentives to the community will lead to the improvement of network technology for things like online taxation, banking transactions, social integration, participation in government, and modern health and education benefits. In addition, technological incentives will also enhance information literacy and digital access, helping people improve cognitive skills and critical thinking and also helping to develop skills.

This research is based on raw data first collected from various people with different opinions from the Khyber Pakhtunkhwa public libraries. This study was conducted to gain a deeper understanding of the overall situation related to the use of technology in Pakistan and the complications involved.

This bibliometric study aims to analyze the latest trends and patterns of big data applications in librarianship from 2000 to 2022. By conducting a comprehensive examination of the existing literature, this study aims to provide valuable insights into the emerging field of big data in librarianship and its potential impact on the future of libraries.

This study employed a rigorous four-stage process of identification, screening, eligibility and inclusion to filter and select the most relevant documents for analysis. The Scopus database was utilized to retrieve pertinent data related to big data applications in librarianship. The dataset comprised 430 documents, including journal articles, conference papers, book chapters, reviews and books. Through bibliometric analysis, the study examined the effectiveness of different publication types and identified the main topics and themes within the field.

The study found that the field of big data in librarianship is growing rapidly, with a significant increase in publications and citations over the past few years. China is the leading country in terms of publication output, followed by the United States of America. The most influential journals in the field are Library Hi Tech and the ACM International Conference Proceeding Series. The top authors in the field are Minami T, Wu J, Fox EA and Giles CL. The most common keywords in the literature are big data, librarianship, data mining, information retrieval, machine learning and webometrics.

This bibliometric study contributes to the existing body of literature by comprehensively analyzing the latest trends and patterns in big data applications within librarianship. It offers a systematic approach to understanding the state of the field and highlights the unique contributions made by various types of publications. The study’s findings and insights contribute to the originality of this research, providing a foundation for further exploration and advancement in the field of big data in librarianship.

This paper aims to measure the adoption of big data analytics (BDA) to achieve sustainability in services being offered in university libraries in Pakistan.

The study applied a unified theory of acceptance and use of technology (UTAUT) as a framework and used quantitative data collection and analysis method. In total, 246 university library professionals were surveyed using a questionnaire consisting of UTAUT factors. The gathered data were analyzed using partial least structural equation modeling (PLS-SEM).

The results showed that performance expectancy (PE), effort expectancy (EE) and social influence (SI) significantly impacted the behavioral intention (BI) to adopt BDA. Facilitating conditions (FCs) have a statistically significant influence on the adoption of big data in libraries, while BDA has a statistical influence on the sustainability of library services (SLS).

BDA assists libraries in making better decisions about demand-driven collection creation, library space management, usage tracking, and quality maintenance in routine and repetitive library tasks such as cataloging, indexing, archiving, administration, preservation and representation. BDA supports libraries in making more cost-effective, innovative, user-oriented services, resource transferring, social identity, resource utilization, healthier user experience, strategic planning, informed decision-making and state-of-the-art infrastructure.

The foundation of this study is based on information gathered from various sources and university libraries in Punjab to better understand the challenges associated with using BDA for the SLS in Pakistan.

This paper aims to highlight the impact of big data on library services. This study highlights the required skills of librarians and the application of big data analytics.

An analysis of the literature was also used to identify the various applications implemented in library services across the globe.

This study’s findings reveal that the role of big data remained limited because of a lack of knowledge and skills. Big data’s significant challenges include inadequate technical support, untrained librarians and financial constraints to meet these requirements. This paper highlighted the challenges and remedial measures that can be taken while adopting this technology in library services.

This paper is significant for librarians, practitioners and stakeholders of the various organization who desire to implement this technology in their respective libraries.

The study aims to identify the prospects and challenges associated with current practices regarding digital data sets management in university libraries in Pakistan.

A cross-sectional survey approach was used to collect the data from library and information science (LIS) professionals working in public sector university libraries in Pakistan. A four-part questionnaire was used to collect the data from the respondents. The collected data from 371 participants were analyzed using a statistical package for social sciences (SPSS-24 version) and analysis of moment structure (AMOS-24).

LIS professionals are better placed to support digital data management practices, such as finding, collecting, assessing and analyzing digital data sets and making digital data publicly discoverable and accessible via open access. In spite of this, a lack of leadership support, interest and cooperation among university departments and the absence of a data management plan, policies and procedures were reported as significant challenges.

To meet the needs of data users, LIS professionals must become knowledgeable about managing and reusing digital data sets. Due to the demands of the information society, university librarians need to learn about data-centric practices that can enhance research outputs and provide new insights.

This research paper is extracted from a PhD dissertation to present a contemporary picture of library data management services and the challenges LIS professionals face to provide possible solutions.

This study aims to map the scholarly literature on human resource management (HRM) publishing intensity in journals listed in Web of Science (WOS) under the subject category “Information Science and Library Science,” between 1989 and 2022.

The current study used a “bibliometric research design,” which is a quantitative approach. Ten selected bibliometric indicators were used to measure the scientific literature: publication-related metrics, citation-related metrics, citation analysis, co-citation analysis, bibliographic coupling, co-word analysis, co-authorship analysis, network metrics, clustering and visualization. Moreover, Louvain’s clustering algorithm was used for network metrics.

The paper gives empirical insights into the scholarly literature on HRM. The results were analyzed for the 65 sources and 1,412 authors from 60 countries who contributed the most during this period. Moreover, the study highlights a glimpse of funding sources, open-access publishing patterns and venues of publishing.

The study would be very beneficial to researchers and practitioners across disciplines.

This study illustrates that HRM is a multidisciplinary field that is appealing to academics from various disciplines because of its unique emphasis on management, and as such, it necessitates the pooling and integration of people, information, expertise and strategies. The study investigates numerous quantitative indicators such as research trends and collaboration frameworks.