Modeling the Process of Information Encountering Based on the Analysis of Secondary Data

Jiang, Tingting; Fu, Shiting; Guo, Qian; Song, Enmei

doi:10.1007/978-3-030-15742-5_4

Cited by 8 publications

(19 citation statements)

References 17 publications

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“…Foster and Ford (2003) highlighted unexpectedness (of finding the information) and value (of the information itself) as defining characteristics of serendipity in the context of information acquisition – characteristics that were also identified as important in subsequent empirical studies of serendipity (e.g. Watson, 2008; Makri and Blandford, 2012a, b; McCay-Peet and Toms, 2015) and of IE more specifically (Jiang et al , 2015, 2019).…”

Section: Later Empirical Research On Serendipity In the Context Of Information Acquisitionmentioning

confidence: 91%

“…This is a simple, yet powerful way of distinguishing between active and passive information acquisition and may also serve to unify terminology if adopted by the research community as a preferred term for serendipity in the context of information acquisition. We also think IE is a particularly appropriate term as it was one of the first serendipity-related terms to be created in the field of HIB (Erdelez, 1995) and is still used to frame and motivate current studies of passive information acquisition (e.g., Jiang et al, 2019;Makri and Buckley, 2019).…”

Section: Theoretical Contributionsmentioning

confidence: 99%

“…However, there has, to our knowledge, only been one model that has expressly focused on explaining serendipity in the context of information acquisition – the model of IE originally proposed by Erdelez (1995; 2004) and further developed by subsequent researchers (e.g. Awamura, 2006; Jiang et al , 2015, 2019). This model is introduced and discussed later in this article.…”

Section: Early Conceptual Research On Serendipity In the Context Of Information Acquisitionmentioning

confidence: 99%

“…These factors are present in some models of IE (e.g. Jiang et al , 2015, 2019). Certain types of physical information environment (e.g.…”

Section: Later Empirical Research On Serendipity In the Context Of Information Acquisitionmentioning

confidence: 99%

“…While the original scope of IE was restricted to “accidental discovery during an active search for some other information” (Erdelez, 2005, p.180), some researchers have begun to extend its scope to include the unsought finding or interesting or useful information by means other than search (e.g. browsing; Makri et al , 2015) and when actively seeking information, but without a particular aim (Bawden, 2011; Jiang et al , 2015, 2019). This highlights the potential to extend the scope of IE further by considering the situations in which it can occur beyond active searching.…”

Section: Situating Information Encountering Within the “Information Acquisition Space”mentioning

confidence: 99%

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Information encountering re-encountered

Erdelez

Makri

2020

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Citation: Erdelez, S. and Makri, S. ORCID: 0000-0002-5817-4893 (2020). Information encountering re-encountered: A conceptual re-examination of serendipity in the context of information acquisition. Journal of Documentation, This is the accepted version of the paper.This version of the publication may differ from the final published version.Permanent repository link: https://openaccess.city.ac.uk/id/eprint/23843/ Link to published version: http://dx. AbstractPurpose: In order to understand the totality, diversity and richness of Human Information Behavior, increasing research attention has been paid to examining serendipity in the context of information acquisition. However, several issues have arisen as this research subfield has tried to find its feet; we have used different, inconsistent terminology to define this phenomenon (e.g., Information Encountering, Accidental Information Discovery, Incidental Information Acquisition), we have not clearly defined the scope of the phenomenon and we have not fully understood or fleshed-out its nature.Design/methodology/approach: In this paper, we propose information encountering (IE) as the preferred term for serendipity in the context of information acquisition. Findings:We present a re-conceptualized definition and scope of IE, a temporal model of IE and a refined model of IE that integrates the IE process with contextual factors and extends previous models of IE to include additional information acquisition activities pre-and post-encounter. Originality/value: By providing a more precise definition, clearer scope and richer theoretical description of the nature of IE, we hope to make the phenomenon of serendipity in the context of information acquisition more accessible, encouraging future research consistency and thereby promoting deeper, more unified theoretical development.

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Section: Later Empirical Research On Serendipity In the Context Of Information Acquisitionmentioning

confidence: 91%

Section: Theoretical Contributionsmentioning

confidence: 99%

Section: Early Conceptual Research On Serendipity In the Context Of Information Acquisitionmentioning

confidence: 99%

“…These factors are present in some models of IE (e.g. Jiang et al , 2015, 2019). Certain types of physical information environment (e.g.…”

Section: Later Empirical Research On Serendipity In the Context Of Information Acquisitionmentioning

confidence: 99%

Section: Situating Information Encountering Within the “Information Acquisition Space”mentioning

confidence: 99%

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Information encountering re-encountered

Erdelez

Makri

2020

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My favorite unreliable source? Information sharing and acquisition through informal networks

Willson

Buchanan

Burnett

et al. 2020

Proc Assoc Inf Sci Technol

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Informal information networks are the personal connections of friends, family and colleagues that people use to help them find information. Recently, a great deal of attention has been paid to social network sites, and other social media, as a key source of information and misinformation in contemporary society. This panel will probe deeper, to investigate the personal connections that underpin and lie behind the social connections visible on social network sites. This issue is of increasing importance as more of our everyday lives are moved online. We will debate what we actually know, and do not know, about how people find information through others, both on‐ and off‐line. From the panel we hope to create a network of scholars interested in creating a research agenda to make informal networks a focus of study going forward.

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Serendipity in human information behavior: a systematic review

Liu

Qin

et al. 2021

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PurposeSerendipitous 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.Design/methodology/approachGuided 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.FindingsWe 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.Originality/valueBy 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.

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Modeling the Process of Information Encountering Based on the Analysis of Secondary Data

Cited by 8 publications

References 17 publications

Information encountering re-encountered

Information encountering re-encountered

My favorite unreliable source? Information sharing and acquisition through informal networks

Serendipity in human information behavior: a systematic review

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