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In “Coming across information serendipitously – Part 1: a process model” the authors identified common elements of researchers' experiences of “coming across information serendipitously”. These experiences involve a mix of unexpectedness and insight and lead to a valuable, unanticipated outcome. In this article, the authors aim to show how the elements of unexpectedness, insight and value form a framework for subjectively classifying whether a particular experience might be considered serendipitous and, if so, just how serendipitous.

The classification framework was constructed by analysing 46 experiences of coming across information serendipitously provided by 28 interdisciplinary researchers during critical incident interviews. “Serendipity stories” were written to summarise each experience and to facilitate their comparison. The common elements of unexpectedness, insight and value were identified in almost all the experiences.

The presence of different mixes of unexpectedness, insight and value in the interviewees' experiences define a multi‐dimensional conceptual space (which the authors call the “serendipity space”). In this space, different “strengths” of serendipity exist. The classification framework can be used to reason about whether an experience falls within the serendipity space and, if so, how “pure” or “dilute” it is.

The framework provides researchers from various disciplines with a structured means of reasoning about and classifying potentially serendipitous experiences.

A new approach to investigate serendipitous knowledge discovery (SKD) of health information is developed and tested to evaluate the information flow-serendipitous knowledge discovery (IF-SKD) model. The purpose of this paper is to determine the degree to which IF-SKD reflects physicians’ information behaviour in a clinical setting and explore how the information system, Spark, designed to support physicians’ SKD, meets its goals.

The proposed pre-experimental study design employs an adapted version of the McCay-Peet’s (2013) and McCay-Peet et al.’s (2015) serendipitous digital environment (SDE) questionnaire research tool to address the complexity associated with defining the way in which SKD is understood and applied in system design. To test the IF-SKD model, the new data analysis approach combining confirmatory factor analysis, data imputation and Monte Carlo simulations was developed.

The piloting of the proposed novel analysis approach demonstrated that small sample information behaviour survey data can be meaningfully examined using a confirmatory factor analysis technique.

This method allows to improve the reliability in measuring SKD and the generalisability of findings.

This paper makes an original contribution to developing and refining methods and tools of research into information-system-supported serendipitous discovery of information by health providers.

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.

Serendipitous information discovery has become a unique and important approach to discovering and obtaining information, which has aroused a growing interest for serendipity in human information behavior. Despite numerous publications, few have systematically provided an overview of current state of serendipity research. Consequently, researchers and practitioners are less able to make effective use of existing achievements, which limits them from making advancements in this domain. Against this backdrop, we performed a systematic literature review to explore the world of serendipity and to recapitulate the current states of different research topics.

Guided by a prior designed review protocol, this paper conducted both automatic and manual search for available studies published from January 1990 to December 2020 on seven databases. A total of 207 serendipity studies closely related to human information behavior form the literature pool.

We provide an overview of distinct aspects of serendipity, that is research topics, potential benefits, related concepts, theoretical models, contextual factors and data collection methods. Based on these findings, this review reveals limitations and gaps in the current serendipity research and proposes an agenda for future research directions.

By analyzing current serendipity research, developing a knowledge framework and providing a research agenda, this review is of significance for researchers who want to find new research questions or re-align current work, for beginners who need to quickly understand serendipity, and for practitioners who seek to cultivate serendipity in information environments.

This article aims to help music librarians and other information professionals effectively understand and support communities of choral directors and other groups dependent on networking and serendipitous information encounters. In addition, through discussion and comparison of theories of information behavior, research articles and analysis of events and experiences, the article encourages thoughtful and practical applications of information behavior research.

This conceptual paper uses different theories of information behavior to outline three distinct modes of learning and knowing within communities of choral directors: individual searching, community expertise and serendipitous encounters.

The choral directing community is one that benefits not only from information support systems that emphasize individual information seeking, but also collaborative networking and serendipitous encounters with other community members. Librarians and other information professionals can best help this group discover new repertoire, plan concert programs, improve rehearsals and support other relevant activities through understanding and helping to provide access to professional music networks and being creative in providing opportunities for serendipitous information discovery.

Little information behavior research and discussion have focused specifically on the information practices of choral directors and how the format and schedule of a professional choral conference illuminate such practices and needs.

The purpose of this paper is to provide recommendations for making a conceptual shift from current document‐centric to data‐centric metadata. The importance of adjusting current library models such as Resource Description and Access (RDA) and Functional Requirements for Bibliographic Records (FRBR) to models based on Linked Data principles is discussed. In relation to technical formats, the paper suggests the need to leapfrog from machine readable cataloguing (MARC) to Resource Description Framework (RDF), without disrupting current library metadata operations.

This paper identified and reviewed relevant works on overarching topics that include standards‐based metadata, Web 2.0 and Linked Data. The review of these works is contextualised to inform the recommendations identified in this paper. Articles were retrieved from databases such as Emerald and D‐Lib Magazine. Books, electronic articles and relevant blog posts were also used to support the arguments put forward in this paper.

Contemporary library standards and models carried forward some of the constraints from the traditional card catalogue system. The resultant metadata are mainly attuned to human consumption rather than machine processing. In view of current user needs and technological development such as the interest in Linked Data, it is found important that current metadata models such as FRBR and RDA are re‐conceptualised.

This paper discusses the implications of re‐conceptualising current metadata models in light of Linked Data principles, with emphasis on metadata sharing, facilitation of serendipity, identification of Zeitgeist and emergent metadata, provision of faceted navigation, and enriching metadata with links.

Most of the literature on Linked Data for libraries focus on answering the “how to” questions of using RDF/XML and SPARQL technologies, however, this paper focuses mainly on answering “why” Linked Data questions, thus providing an underlying rationale for using Linked Data. The discussion on mixed‐metadata approaches, serendipity, Zeitgeist and emergent metadata is considered to provide an important rationale to the role of Linked Data for libraries.

This research seeks to gain a detailed understanding of how researchers come across information serendipitously, grounded in real‐world examples. This research was undertaken to enrich the theoretical understanding of this slippery phenomenon.

Semi‐structured critical incident interviews were conducted with 28 interdisciplinary researchers. Interviewees were asked to discuss memorable examples of coming across information serendipitously from their research or everyday life. The data collection and analysis process followed many of the core principles of grounded theory methodology.

The examples provided were varied, but shared common elements (they involved a mix of unexpectedness and insight and led to a valuable, unanticipated outcome). These elements form part of an empirically grounded process model of serendipity. In this model, a new connection is made that involves a mix of unexpectedness and insight and has the potential to lead to a valuable outcome. Projections are made on the potential value of the outcome and actions are taken to exploit the connection, leading to an (unanticipated) valuable outcome.

The model provides researchers across disciplines with a structured means of understanding and describing serendipitous experiences.

Literature divides information behaviours into two forms: first, interacting information with a purpose in mind and second, encountering accidently in three environments including person to person, analogue and online environment. However, the unique information encountering and encountered information keeping behaviour of social sciences research students of Asian culture in an online environment remained unexplored. Therefore, the present study is designed to investigate the research information encountering and encountered information keeping behaviour of the students of social sciences in an online environment.

The quantitative approach and survey technique were used for the study. The research students were approached using a multi-stage total population sampling technique. In total, 233 returned questionnaires were entered and analysed in SPSS (version 22). Descriptive (frequencies and percentages) and inferential statistical techniques (t-tests, one-way ANOVA, effect sizes, correlations and regression) were applied to meet the objectives of the study.

The results of the study indicate that the respondents whether male or female, of MPhil or PhD, whichever frequency to use the Internet, often encounter research information. However, those who use the Internet for general browsing encounter more than those who purposively. This makes a change to the model of information encountering that the users encounter information while generally browsing and not only while actively working on foreground information searching. Moreover, the research students prefer to use simple tools on complex software based for keeping the encountered research information. The information if kept properly for use, may be useful in the course of research, ease its tasks and result in increasing the speed of research productivity.

The present study has theoretical and practical implications. Theoretically first, it fills the literature gap regarding research information encountering and its keeping and second, it came up with a proof that the researcher not only encounter research information while foreground information searching but while generally browsing also. Hence, information encountering model is equally applicable to research students who generally browse. Regarding practical implications, the study identifies that the research students prefer to keep using simple tools. Hence, information literacy instructors, either librarians or continuous education program designers are advised to incorporate instructional programs on the use of complex software-based tools for keeping information.

This is the first study in non-Western countries which investigated the research information encountering behaviour of social sciences MPhil and PhD students. The preferred tools to keep the encountered research information are first time identified in the literature.

Live streaming commerce enhances shopping experience and reduces uncertainty. However, with increasingly fierce competitions, it has become a challenging task for live streaming commerce platforms to retain existing customers. The purpose of this study to explore factors affecting customers’ stickiness intention toward live streaming commerce platforms.

A research model was developed by modifying e-commerce system success model (ES success model) based on the context of live streaming commerce and meanwhile integrating serendipity and flow into the model. Using the data collected from 380 customers who have live streaming shopping experience, the established model was empirically assessed by partial least squares based structural equation model.

The results show that vividness, real-time interaction and diagnosticity are antecedents of perceived value and customer satisfaction toward a live streaming commerce platform which in turn influence customers’ stickiness intention. Besides, as new factors introducing into the ES success model, serendipity and flow are two important motivators of satisfaction and stickiness.

This study establishes a well-organized framework to understand the mechanism regarding why customers stick with a live streaming commerce platform. It provides a socio-technical approach to analyze how the stickiness intention can be influenced.

Information science research has begun to broaden its traditional focus on information seeking to cover other modes of acquiring information. The purpose of this paper is to move forward on this trajectory and to present a framework for explicating how in addition to being sought, existing information are made useful and taken into use.

A conceptual enquiry draws on an empirical vignette based on an observation study of an archaeological teaching excavation. The conceptual perspective builds on Andersen’s genre approach and Huvila’s notion of situational appropriation.

This paper suggests that information becomes appropriable, and appropriated (i.e. taken into use), when informational and social genres intertwine with each other. This happens in a continuous process of (re)appropriation of information where existing information scaffolds new information and the on-going process of appropriation.

The approach is proposed as a potentially powerful conceptualisation for explicating information interactions when existing information is taken into use rather than sought that have received little attention in traditional models and theories of human information behaviour.