Search results

Websites, search engines, recommender systems, artificial intelligence and digital libraries have the potential to support serendipity for unexpected interaction with information and ideas which would lead to favored information discoveries. This paper aims to explore the current state of research into serendipity particularly related to information encountering.

This study provides bibliometric review of 166 studies on serendipity extracted from the Web of Science. Two bibliometric analysis tools HisCite and RStudio (Biblioshiny) are used on 30 years of data. Citation counts and bibliographic records of the papers are assessed using HisCite. Moreover, visualization of prominent sources, countries, keywords and the collaborative networks of authors and institutions are assessed using RStudio (Biblioshiny) software. A total of 166 papers on serendipity were found from the period 1989 to 2022, and the most influential authors, articles, journals, institutions and countries among these were determined.

The highest numbers of 11 papers were published in the year 2019. Makri and Erdelez are the most influential authors for contributing studies on serendipity. “Journal of Documentation” is the top-ranking journal. University College London is the prominent affiliation contributing highest number of studies on serendipity. The UK and the USA are the prominent nations contributing highest number of research. Authorship pattern for research on serendipity reveals involvement of single author in majority of the studies. OA Green model is the most preferred model for archiving of research articles by the authors who worked on serendipity. In addition, majority of the research outputs have received a citation ranging from 0 to 50.

To the best of the authors’ knowledge, this paper may be the first bibliometric analysis on serendipity research using bibliometric tools in library and information science studies. The paper would definitely open new avenues for other serendipity researchers.

This study aimed to evaluate the potential of artificial intelligence (AI) as a tool for knowledge synthesis, the production of written content and the delivery of coaching conversations.

The research employed the use of experts to evaluate the outputs from ChatGPT's AI tool in blind tests to review the accuracy and value of outcomes for written content and for coaching conversations.

The results from these tasks indicate that there is a significant gap between comparative search tools such as Google Scholar, specialist online discovery tools (EBSCO and PsycNet) and GPT-4's performance. GPT-4 lacks the accuracy and detail which can be found through other tools, although the material produced has strong face validity. It argues organisations, academic institutions and training providers should put in place policies regarding the use of such tools, and professional bodies should amend ethical codes of practice to reduce the risks of false claims being used in published work.

This is the first research paper to evaluate the current potential of generative AI tools for research, knowledge curation and coaching conversations.

Exploratory search activities are ubiquitous in various information systems. Much potentially useful or even serendipitous information is discovered during the exploratory search process. Given its irreplaceable role in information systems, exploratory search has attracted growing attention from the information system community. Since few studies have methodically reviewed current publications, researchers and practitioners are unable to take full advantage of existing achievements, which, in turn, limits their progress in this field. Through a literature review, this study aims to recapitulate important research topics of exploratory search in information systems, providing a research landscape of exploratory search.

Automatic and manual searches were performed on seven reputable databases to collect relevant literature published between January 2005 and July 2023. The literature pool contains 146 primary studies on exploratory search in information system research.

This study recapitulated five important topics of exploratory search, namely, conceptual frameworks, theoretical frameworks, influencing factors, design features and evaluation metrics. Moreover, this review revealed research gaps in current studies and proposed a knowledge framework and a research agenda for future studies.

This study has important implications for beginners to quickly get a snapshot of exploratory search studies, for researchers to re-align current research or discover new interesting issues, and for practitioners to design information systems that support exploratory search.

This paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI). With HTR now achieving high levels of accuracy, we consider its potential impact on our near-future information environment and knowledge of the past.

In undertaking a more constructivist analysis, we identified gaps in the current literature through a Grounded Theory Method (GTM). This guided an iterative process of concept mapping through writing sprints in workshop settings. We identified, explored and confirmed themes through group discussion and a further interrogation of relevant literature, until reaching saturation.

Catalogued as part of our GTM, 120 published texts underpin this paper. We found that HTR facilitates accurate transcription and dataset cleaning, while facilitating access to a variety of historical material. HTR contributes to a virtuous cycle of dataset production and can inform the development of online cataloguing. However, current limitations include dependency on digitisation pipelines, potential archival history omission and entrenchment of bias. We also cite near-future HTR considerations. These include encouraging open access, integrating advanced AI processes and metadata extraction; legal and moral issues surrounding copyright and data ethics; crediting individuals’ transcription contributions and HTR’s environmental costs.

Our research produces a set of best practice recommendations for researchers, data providers and memory institutions, surrounding HTR use. This forms an initial, though not comprehensive, blueprint for directing future HTR research. In pursuing this, the narrative that HTR’s speed and efficiency will simply transform scholarship in archives is deconstructed.

This study provides a meta-review of global virtual team (GVT)–related reviews, creating a resource that highlights dominant themes, research trends and shifts in topics over time culminating in a summary of opportunities for future research. By analyzing and grouping the evidence presented in previous research, this meta-review provides key insights toward future research and managerial implications.

This meta-review identifies 35 existing GVT-related reviews across 32 publication outlets, providing a longitudinal and cross-disciplinary view of GVT research to date.

Results of the analysis reveal over time that there has been a largely adopted reconceptualization of the GVT paradigm toward a continuum of virtuality. There has been a shift in the view of the cross-cultural and global components of GVTs toward a recognition that a greater variance of dimensionality exists. Additionally, popular themes across the literature emerge, notably, virtuality, concepts of culture, trust, leadership and communication technology.

As a multidisciplinary GVT-focused meta-review, this study complements previous efforts by taking a tour across this wide topic and is dedicated to those who are researching, teaching, working and managing GVT-related strategies. The reviews selected represent work published across multiple literature streams, providing a comprehensive and forward thinking perspective.

The aim of this paper is to explore the possibility of using the Define-Measure-Analyze-Improve-Control (DMAIC) cycle, process mining (PM) and multi-criteria decision methods in an integrated way so that these three elements combined result in a methodology called the Agile DMAIC cycle, which brings more agility and reliability in the execution of the Six Sigma process.

The approach taken by the authors in this study was to analyze the studies arising from this union of concepts and to focus on using PM tools where appropriate to accelerate the DMAIC cycle by improving the first two steps, and to test using the AHP as a decision-making process, to bring more excellent reliability in the definition of indicators.

It was indicated that there was a gain with acquiring indicators and process maps generated by PM. And through the AHP, there was a greater accuracy in determining the importance of the indicators.

Through the results and findings of this study, more organizations can understand the potential of integrating Six Sigma and PM. It was just developed for the first two steps of the DMAIC cycle, and it is also a replicable method for any Six Sigma project where data acquisition through mining is possible.

The authors develop a fully applicable and understandable methodology which can be replicated in other settings and expanded in future research.

The purpose of this study is to identify the main perspectives and trends in educational data mining (EDM) in the e-learning environment from a managerial perspective.

This paper proposes a systematic literature review to identify the main perspectives and trends in EDM in the e-learning environment from a managerial perspective. The study domain of this review is restricted by the educational concepts of e-learning and management. The search for bibliographic material considered articles published in journals and papers published in conferences from 1994 to 2023, totaling 30 years of research in EDM.

From this review, it was observed that managers have been concerned about the effectiveness of the platform used by students as it contains the entire learning process and all the interactions performed, which enable the generation of information. From the data collected on these platforms, there are improvements and inferences that can be made about the actions of educators and human tutors (or automatic tutoring systems), curricular optimization or changes related to course content, proposal of evaluation criteria and also increase the understanding of different learning styles.

This review was conducted from the perspective of the manager, who is responsible for the direction of an institution of higher education, to assist the administration in creating strategies for the use of data mining to improve the learning process. To the best of the authors’ knowledge, this review is original because other contributions do not focus on the manager.

Achieving swift and even flow of cargo through the border, the ultimate objective of cross-border logistics (CBL) requires the close coordination and collaboration of a multitude of stakeholders, as well as optimally configured systems. To achieve and sustain competitiveness in a dynamic international trade environment, CBL processes must undergo periodic analysis, improvement and optimization. This study aims to develop a modelling framework to capture CBL processes for analysis and improvement.

Relying on the extant literature, a meta-model is developed incorporating significant perspectives required to model CBL processes. Popular process modelling notations are evaluated against the meta-model and their ease of comprehension is also evaluated. The selected notation through evalution is augmented with addendums for a comprehensive depiction of CBL processes.

The capacity of role activity diagrams (RADs) to depict all perspectives, including interactions in a single diagram, makes them particularly suitable for modelling CBL processes. RADs have been complemented with physical flow diagrams and methods to capture temporal dimension, enabling a comprehensive view of CBL processes laying the foundation for insightful analysis.

The meta-model developed in this paper paves the way to develop an analysis framework which requires further research.

The lack of well-accepted modelling notations for studying CBL processes prompts researchers to search and adapt different formalisms. This study has filled this gap by proposing a comprehensive modelling framework able to capture CBL processes at different granularities in rich detail. Not only does the developed meta-model aid in selecting the notation, it is also useful in analysing the constituent elements of CBL processes.

Research concerning the inclusion of individuals with disabilities in tourism activities began long before this field of study was formally named. This has led scholars to use a variety of expressions to refer to what is now known as accessible tourism (AT). Given that this diversity of terms can complicate locating relevant publications, this paper aims to examine the terminology used in the context of AT.

This study conducts an exhaustive literature review and a statistical analysis of 613 documents collected from Scopus, published between 1984 and 2022.

The results suggest that, despite the widespread use of “Accessible Tourism” in recent literature, most papers published before 2010 cannot be retrieved using this term. Additionally, the longitudinal analysis of scientific production revealed four distinct stages based on the number of annual publications.

This paper has limitations that could inspire future studies, such as relying solely on Scopus for data collection, including only academic papers, limiting the number of references and narrowing the search to specific terms. Future investigations could compare these findings using a greater amount of data collected from other databases (e.g. Google Scholar), including non-academic writings (e.g. newspapers and Webpages), exploring the efficiency of different search strategies (e.g. silver market) and delving deeper into the evolution of the AT discourse in society.

Policymakers and tourism stakeholders can leverage the insights of this paper to standardise their vocabulary in communication and operational strategies. Scholars can enhance the efficiency of literature searches and develop new lines of knowledge inspired by terms traditionally used to refer to AT.

This paper encourages continued investigation into AT and underscores the importance of language in developing a more inclusive society.

This research pioneers the analysis of the evolution of AT synonymy by years, nations and authors. It provides evidence of how linguistic choices reflect changes in the social understanding of disability. This study proposes a framework to distinguish AT from other tourism models, facilitating unified communication among stakeholders. It presents strategies to improve efficiency in locating studies in the AT area and advocates for an inclusive society that uses language respectful to all individuals.

本研究对从Scopus收集的1984年至2022年间发表的613篇文献进行了详尽的文献回顾和统计分析。

关于将残疾人纳入旅游活动的研究早在这一研究领域正式命名之前就开始了。这导致学者们使用各种各样的表达来指代现在被称为无障碍旅游(AT)的概念。鉴于这种术语的多样性会使相关出版物的定位复杂化, 本文旨在研究AT语境中使用的术语。

结果表明, 尽管“无障碍旅游”在最近的文献中被广泛使用, 但2010年之前发表的大多数文章都无法使用该术语进行检索。此外, 科学产出的纵向分析显示, 基于年度出版物的数量, 有四个不同的阶段。

这篇论文有一些局限可启发未来的研究, 比如仅仅依靠Scopus进行数据收集, 只包括学术论文, 限制参考文献的数量, 将搜索范围缩小到特定的术语。未来的调查可以使用从其他数据库(如Google Scholar), 包括非学术著作(如报纸、网页), 收集的大量数据来比较这些发现, 探索不同搜索策略(如白银市场)的效率, 并更深入地研究AT话语在社会中的演变。

政策制定者和旅游业利益相关者可以利用本文见解来标准化他们在表达和操作策略中的词汇。学者们可以提高文献检索的效率, 并从传统上用于指AT的术语启发中建立新的知识线。

本文鼓励继续研究无障碍旅游, 并强调语言在发展更具包容性的社会中的重要性。

这项研究是对AT同义词的年代、国家和作者的演变进行分析的开创。它为语言选择如何反映社会对残疾理解的变化提供了证据。本研究提出了一个AT有别于与其他旅游模式的框架, 促进利益相关者之间的统一沟通。它提出了提高AT领域定位效率研究的策略, 并倡导建立一个尊重所有个人的语言的包容的社会。

La investigación relativa a la inclusión de las personas con discapacidad en las actividades turísticas comenzó mucho antes de que se diera un nombre formal a este campo de estudio. Esto ha llevado a los estudiosos a utilizar una gran variedad de expresiones para referirse a lo que ahora se conoce como Turismo Accesible (TA). Dado que esta diversidad de términos puede complicar la localización de publicaciones relevantes, este artículo pretende examinar la terminología utilizada en el contexto del TA.

Este estudio realiza una revisión exhaustiva de la literatura y un análisis estadístico de 613 documentos recopilados de Scopus, publicados entre 1984 y 2022.

Los resultados sugieren que, a pesar del uso generalizado de “Turismo Accesible” en la literatura reciente, la mayoría de los artículos publicados antes de 2010 no pueden recuperarse utilizando este término. Además, el análisis longitudinal de la producción científica reveló cuatro etapas distintas en función del número de publicaciones anuales.

Este trabajo tiene limitaciones que podrían inspirar futuros estudios, como basarse únicamente en Scopus para la recopilación de datos, incluir sólo artículos académicos, limitar el número de referencias y restringir la búsqueda a términos específicos. Futuras investigaciones podrían comparar estos Resultados utilizando una mayor cantidad de datos recogidos en otras bases de datos (por ejemplo, Google Scholar), incluyendo escritos no académicos (por ejemplo, periódicos, páginas web), explorando la eficacia de diferentes estrategias de búsqueda (por ejemplo, el mercado plateado) y profundizando en la evolución del discurso del TA en la sociedad.

Los responsables políticos y las partes interesadas en el turismo pueden aprovechar las ideas de este documento para normalizar su vocabulario en las estrategias de comunicación y operativas. Los estudiosos pueden mejorar la eficacia de las búsquedas bibliográficas y desarrollar nuevas líneas de conocimiento inspiradas en los términos utilizados tradicionalmente para referirse al TA.

Este artículo anima a seguir investigando sobre el turismo accesible y subraya la importancia del lenguaje en el desarrollo de una sociedad más inclusiva.

Esta investigación es pionera en el análisis de la evolución de la sinonimia del TA por años, naciones y autores. Aporta pruebas de cómo las elecciones lingüísticas reflejan los cambios en la comprensión social de la discapacidad. Este estudio propone un marco para distinguir la TA de otros modelos turísticos, facilitando la comunicación unificada entre las partes interesadas. Presenta estrategias para mejorar la eficacia en la localización de estudios en el ámbito de las TA y aboga por una sociedad inclusiva que utilice un lenguaje respetuoso con todas las personas.

The purpose of this paper is to characterize library and information science (LIS) as fragmenting discipline both historically and by applying Whitley’s (1984) theory about the organization of sciences and Fuchs’ (1993) theory about scientific change.

The study combines historical source analysis with conceptual and theoretical analysis for characterizing LIS. An attempt is made to empirically validate the distinction between LIS context, L&I services and information seeking as fragmented adhocracies and information retrieval and scientific communication (scientometrics) as technologically integrated bureaucracies.

The origin of fragmentation in LIS due the contributions of other disciplines can be traced in the 1960s and 1970s for solving the problems produced by the growth of scientific literature. Computer science and business established academic programs and started research relevant to LIS community focusing on information retrieval and bibliometrics. This has led to differing research interests between LIS and other disciplines concerning research topics and methods. LIS has been characterized as fragmented adhocracy as a whole, but we make a distinction between research topics LIS context, L&I services and information seeking as fragmented adhocracies and information retrieval and scientific communication (scientometrics) as technologically integrated bureaucracies.

The paper provides an elaborated historical perspective on the fragmentation of LIS in the pressure of other disciplines. It also characterizes LIS as discipline in a fresh way by applying Whitley’s (1984) theory.