Library & Information Science Research最新文献

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Learning from digital disorientations: Navigating virtual and physical spaces in library and information science research during lockdowns and beyond

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Library & Information Science Research

Pub Date : 2025-01-01 DOI: 10.1016/j.lisr.2025.101340

Travis L. Wagner , Kaitlin Montague , Vanessa L. Kitzie , Marie Radford , Bradley Wade Bishop

The forced shift to virtual-first data collection resulting from the COVID-19 pandemic consequentially impacted Library and Information Science (LIS)-based qualitative and mixed methods researchers. Further, the ongoing presence of the COVID-19 pandemic forever altered the perceived norms and values of conducting research within virtual, as opposed to, physical environments. To understand the unique impacts of COVID-19 on virtually mediated LIS research this paper conducted four comparative case studies regarding the challenges and success of forced virtual research. Findings reveal that although a sudden shift from physical to virtual methods may not occur again, pandemic period research resulted in innovations related to accessibility and inclusivity using existing technologies. The pandemic also reinforced the unique role that LIS scholarship and praxis played in ensuring ethical and sustained research protocols from the planning stages through distributing and curating data for writing and publishing findings.

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引用次数: 0

A longitudinal study of user continuance intention to use public digital cultural services 关于用户继续使用公共数字文化服务意愿的纵向研究

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Library & Information Science Research

Pub Date : 2025-01-01 DOI: 10.1016/j.lisr.2025.101343

Jiajing Liu , Honglei Lia Sun , Li Kuang , Jianming Zheng

Public digital cultural services (PDCS) have significant potential to address the public's fundamental digital cultural needs. The factors affecting PDCS user continuance intention and the longitudinal effects of these factors were explored. A conceptual model was developed and validated using structural equation modeling to analyze two waves of panel data collected from 277 PDCS users. The results suggest that the antecedent factors affecting PDCS user continuance intention include information quality and service quality, while mediating factors include satisfaction, perceived usefulness, flow experience, and expectation confirmation. In the early stage, the direct positive effect of service quality on perceived usefulness was stronger than that of information quality. In the later stage, the direct positive effects of flow experience on continuance intention, expectation confirmation on satisfaction, and information quality on expectation confirmation became statistically significant. This longitudinal study proposed a theoretical model that enhances the understanding of PDCS user continuance intention and provides practical implications for PDCS practitioners.

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引用次数: 0

Assessing social efficiency of libraries from a dynamic perspective: The Peruvian municipal library system

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Library & Information Science Research

Pub Date : 2025-01-01 DOI: 10.1016/j.lisr.2025.101341

María José del Barrio-Tellado, Angela Milagros Reyes-Gutierrez

Municipal libraries are one of the most important cultural institutions, especially in developing countries, where they help build social capital, improve quality of life, and reduce inequalities. As publicly funded entities, their contribution to welfare should be evaluated for them to gain accreditation, especially when technological changes have altered user interest and access to certain traditional functions. A dynamic Data Envelopment Analysis (DEA) model is used to evaluate performance and to estimate the productivity of a group of libraries in Peru, taking the mission of social impact as a benchmark. Starting from low efficiency values, results show substantial progress, with differences, depending on geographical areas, and a trade-off is seen between efficiency and poverty indicators. Human capital, other cultural facilities and accessibility emerge as external drivers of efficiency. Cultural policy implications are provided, and the study may serve to approach social impact evaluation for cultural institutions, especially in emerging economies.

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引用次数: 0

The user experience of university library: A text mining analysis of a Q&A platform in China 大学图书馆的用户体验：中国问答平台的文本挖掘分析

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Library & Information Science Research

Pub Date : 2024-10-01 DOI: 10.1016/j.lisr.2024.101326

Yan Li , E. Erjiang , Xin Tian

To gain a deeper understanding of the user experience in university libraries, an alternative channel for collecting user feedback was explored utilizing a prominent Chinese Question and Answer (Q&A) platform, Zhihu. A dataset consisting of 11 questions and 12,647 valid answers related to the user experience of university libraries on the Zhihu platform was collected. To analyze the collected user comments (answers) quantitatively, various techniques including word frequency analysis, semantic network analysis, Latent Dirichlet Allocation (LDA) topic modeling, and sentiment analysis were used. Findings revealed that factors influencing user experience can be categorized into six main groups: university life and future planning, choice and efficiency of study spaces, library resource management and staff behavior, seat usage behavior, noise issues, and the behavior of other users. Sentiment analysis revealed a mix of emotions in user experience. Positive experiences stemmed from quality learning environments and personal development support, while negative experiences were primarily caused by noise, seat scarcity, management issues, and other users' behavior. These varied emotional responses and suggested targeted improvements were explored. Findings could contribute to a deeper understanding of the user experience in university libraries and offer practical insights for improving library services.

为了深入了解大学图书馆的用户体验，我们利用国内著名的问答（Q&A）平台--知乎，探索了另一种收集用户反馈的渠道。我们在知乎平台上收集了与大学图书馆用户体验相关的 11 个问题和 12,647 个有效答案。为了对收集到的用户评论（答案）进行定量分析，研究人员使用了词频分析、语义网络分析、潜在德里希特分配（LDA）主题建模和情感分析等多种技术。研究结果显示，影响用户体验的因素可分为六大类：大学生活和未来规划、学习空间的选择和效率、图书馆资源管理和工作人员行为、座位使用行为、噪音问题以及其他用户的行为。情感分析揭示了用户体验中的各种情绪。积极的体验源于优质的学习环境和个人发展支持，而消极的体验则主要由噪音、座位稀缺、管理问题和其他用户的行为造成。我们探讨了这些不同的情绪反应，并提出了有针对性的改进建议。研究结果有助于加深对大学图书馆用户体验的理解，并为改善图书馆服务提供实用见解。

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引用次数: 0

A systematic review of library services platforms research and research agenda 图书馆服务平台研究和研究议程系统回顾

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Library & Information Science Research

Pub Date : 2024-10-01 DOI: 10.1016/j.lisr.2024.101325

Ze Liu , Bo Shao

With changes in technology and user behavior, library services platforms (LSPs) have emerged and evolved rapidly, as has research on LSPs. The systematic review involved the analysis of 22 studies drawn from 4726 records, with the objective of providing empirical insights into the functions and roles of LSPs. System types, vendors, research methods, participants, roles, and challenges in LSPs research were identified. The results show that the existing studies mainly involve three system types: Alma, Sierra, and WMS, and their vendors are Ex Libris, OCLC, and Innovative. LSPs involve mainly two main types of roles: management-related roles and services-related roles. Meanwhile, libraries face several challenges in the implementation of the LSPs, caused by a huge amount of data, insufficient training, a lack of human resources, and a limited budget. The findings highlight opportunities for future research, including enriching research methodologies and expanding the types of users and systems investigated.

随着技术和用户行为的变化，图书馆服务平台（LSP）不断涌现并迅速发展，有关 LSP 的研究也是如此。本次系统性综述分析了来自 4726 条记录的 22 项研究，旨在提供有关 LSP 功能和作用的经验性见解。研究确定了系统类型、供应商、研究方法、参与者、角色和 LSP 研究中的挑战。结果显示，现有研究主要涉及三种系统类型：其供应商分别是 Ex Libris、OCLC 和 Innovative。LSP 主要涉及两大类角色：与管理相关的角色和与服务相关的角色。同时，图书馆在实施 LSP 的过程中面临着数据量巨大、培训不足、人力资源缺乏和预算有限等挑战。研究结果强调了未来研究的机遇，包括丰富研究方法和扩大调查的用户和系统类型。

引用次数: 0

How to bridge the gap? Information asymmetry in Tibetan-Chinese bilingual search behavior

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Library & Information Science Research

Pub Date : 2024-10-01 DOI: 10.1016/j.lisr.2024.101329

Shutian Zhang , Dan Wu

Significant information asymmetries exist between majority and minority languages on the web. The information asymmetry makes it difficult for ethnic minorities to access online information in their native languages, exacerbating their information vulnerability. It is necessary to investigate whether the information asymmetry between these two languages affects the language selection and interaction behavior of bilinguals in online searches. A user search experiment (N = 30) was conducted in Tibetan-Chinese bilinguals, combined with retrospective think-aloud interviews. Tibetan-Chinese bilinguals showed a preference for Chinese search, seen as a native language (L1) loss tendency in search. The bilinguals present an information asymmetry stereotype, which influenced their search language selection and negatively affected their search behavior. Four search phases for Tibetan-Chinese bilinguals were identified: direct search, vigilant avoidance, blind attempts, and serendipitous search.

引用次数: 0

ChatGPT for chatting and searching: Repurposing search behavior

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Library & Information Science Research

Pub Date : 2024-10-01 DOI: 10.1016/j.lisr.2024.101331

Marcelo Tibau , Sean Wolfgand Matsui Siqueira , Bernardo Pereira Nunes

Generative AI tools, exemplified by ChatGPT, are transforming the way users interact with information by enabling dialogue-based querying instead of traditional keyword searches. While this conversational approach can simplify user interactions, it also presents challenges in structuring effective searches, refining prompts, and verifying AI-generated content. This study addresses these complexities by repurposing traditional search tactics for use in conversational AI environments, specifically to support the Searching as Learning (SaL) paradigm. Forty-five adapted tactics are introduced to aid users in defining information needs, refining queries, and evaluating ChatGPT's responses for relevance, utility, and reliability. Using the Efficient Search Tactic Identification (ESTI) method and constant comparison analysis, these tactics were mapped into a stratified model with seven categories. The framework provides a structured approach for users to leverage conversational agents more effectively, promoting critical thinking and iterative learning. This research underscores the importance of developing robust search strategies tailored to conversational AI environments, facilitating deeper learning and reflective information engagement. Additionally, it highlights the need for ongoing research into the design and evaluation of future chat-and-search systems.

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引用次数: 0

Data literacy in flux: Perspectives of community college librarians on evolving educational demands and library capacities 变化中的数据素养：社区大学图书馆员对不断变化的教育需求和图书馆能力的看法

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Library & Information Science Research

Pub Date : 2024-10-01 DOI: 10.1016/j.lisr.2024.101327

Jeonghyun Kim, Sarah Evans, Lingzi Hong, Erin Rice-Oyler, Lydia Ogbadu-Oladapo

The current competitive job market emphasizes the need for broad data literacy skills, expecting students in higher education to be data literate. Community colleges are called upon to support students' data literacy, and community college libraries are expected to incorporate data literacy instruction across the curriculum. Semi-structured interviews were conducted with 21 community college librarians to explore their perspectives regarding data literacy. Community college librarians recognize the significance of data literacy for their students' academic success and professional development. Some have integrated data literacy training into their current roles, while many still seek ways to enhance their readiness to offer support in this area. The study findings highlight the importance of identifying the roles and contributions of community college librarians in empowering and enhancing students' data literacy needs.

当前竞争激烈的就业市场强调需要具备广泛的数据素养技能，并希望接受高等教育的学生具备数据素养。社区学院被要求为学生的数据素养提供支持，而社区学院图书馆则应将数据素养教学纳入整个课程。我们对 21 名社区学院图书馆员进行了半结构式访谈，以探讨他们对数据素养的看法。社区大学图书馆员认识到数据素养对学生学业成功和职业发展的重要意义。一些图书馆员已将数据素养培训融入到他们当前的工作中，而许多图书馆员仍在寻求各种方法来提高他们在这一领域提供支持的准备程度。研究结果凸显了明确社区大学图书馆员在提高学生数据素养方面的作用和贡献的重要性。

引用次数: 0

Interpretable analysis of public library service outcomes based on ensemble learning models: Data study from China (2007–2021) 基于集合学习模型的公共图书馆服务成果可解释性分析：中国数据研究（2007-2021 年）

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Library & Information Science Research

Pub Date : 2024-10-01 DOI: 10.1016/j.lisr.2024.101330

Qunzhe Ding, Zijian Wang, Mengting He, Qingong Shi

Service outcome is a crucial component in the overall evaluation of public library service efficiency. Specifically, identifying and analyzing key factors that influence public library service output precisely can provide a significant theoretical basis for rational library resource allocation planning. Utilizing 15 years of data from the National Bureau of Statistics of China, the research predicted library service outcomes based on resource inputs. To achieve high predictive performance, six ensemble learning models were trained and evaluated, with CatBoost selected for its superior performance. Additionally, SHAP interpretability method was applied alongside CatBoost to offer nuanced insights into the influence of various factors, from both holistic and local perspectives. The research not only provided concrete suggestions for enhancing public library service outcomes but also introduced new approaches for processing and analyzing data in the field of library science.

服务成果是全面评价公共图书馆服务效率的重要组成部分。具体而言，准确识别和分析影响公共图书馆服务产出的关键因素，可以为图书馆资源的合理配置规划提供重要的理论依据。本研究利用国家统计局 15 年的数据，基于资源投入预测图书馆服务产出。为了实现较高的预测性能，研究人员对六个集合学习模型进行了训练和评估，其中 CatBoost 因其卓越的性能而被选中。此外，在使用 CatBoost 的同时还使用了 SHAP 可解释性方法，从整体和局部的角度对各种因素的影响进行了细致入微的分析。这项研究不仅为提高公共图书馆服务成果提供了具体建议，还为图书馆学领域的数据处理和分析引入了新方法。

引用次数: 0

Factors influencing the effect of proxy health information seeking behavior: A grounded theory exploration 代理健康信息寻求行为效果的影响因素：基于实证的理论探讨

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Library & Information Science Research

Pub Date : 2024-10-01 DOI: 10.1016/j.lisr.2024.101328

Suping Zhang, Ning Wang

Extant research on proxy health information-seeking behavior (PHISB) mainly focuses on the process and influencing factors of behavior, as well as the characteristics, behavior patterns, and proxy-seeking intention of seekers. There is, however, a lack of discussion on the effect of PHISB. This study aims to construct a theoretical framework model of the factors that influence the effect of PHISB, and more specifically, the effect perceived by the proxy. Semi-structured in-depth interviews and procedural grounded theory were used to explore the factors influencing the proxy perceived effect of PHISB. Participants were 18 middle-aged individuals of different genders, occupations, and education levels in China. The interview texts were analyzed and coded according to procedural grounded theory, and four factors were found to influence the proxy perceived effect of PHISB in China: information quality, inherent cognition, rational cognition, and perceptual cognition. A theoretical framework model of these factors was constructed, which has certain reference values and significance for improving the effect of PHISB.

对代理健康信息寻求行为（proxy health information-seeking behavior， PHISB）的研究主要集中在代理健康信息寻求行为的过程和影响因素，以及寻求者的特征、行为模式和代理寻求意图等方面。然而，缺乏对PHISB影响的讨论。本研究旨在构建影响PHISB效果的因素的理论框架模型，更具体地说，是代理感知到的效果。采用半结构化深度访谈和程序扎根理论探讨了影响PHISB代理感知效果的因素。参与者为18名中国不同性别、职业和教育水平的中年人。根据程序扎根理论对访谈文本进行分析和编码，发现影响中国PHISB代理感知效果的四个因素：信息质量、内在认知、理性认知和感性认知。构建了这些因素的理论框架模型，对提高PHISB的效果具有一定的参考价值和意义。

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引用次数: 0

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