Research perspectives on serendipity and information encountering

Erdelez, Sanda; Beheshti, Jamshid; Heinström, Jannica; Toms, Elaine G.; Makri, Stephann; Agarwal, Naresh Kumar; Björneborn, Lennart

doi:10.1002/pra2.2016.14505301011

Cited by 15 publications

(14 citation statements)

References 16 publications

(12 reference statements)

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“…For library and information science, Bernier first defined the concept of serendipity as the fortuitous discovery of information [18]. Erdelez defined information encountering as accidental information discovery, which is similar to serendipity [23].…”

Section: Serendipitymentioning

confidence: 99%

“…Agarwal [6] also posited that information encountering could happen at any point regardless of whether or not one was actively seeking something, which would be the case during Internet browsing. Erdelez et al [18] also pointed out that people have more and more opportunities to encounter information, instead of actively seeking information, which highlights the significant influence of serendipity on information acquisition. Therefore, we think that users may lose the sense of the passage of time because they immerse themselves in the serendipitous discovery of interesting or useful information, which attracts their attention, resulting in the phenomenon of flow and prolonging their online usage time.…”

Section: Introductionmentioning

confidence: 99%

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Sustainability in Online Video Hosting Services: The Effects of Serendipity and Flow Experience on Prolonged Usage Time

Cheng

2020

Sustainability

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Online video hosting services have been a highly competitive e-commerce application in recent years. The service providers constantly seek viable ways for users to prolong usage time as a model for sustainable business development. In this study, we propose a framework to verify the impact of perceived serendipity on flow experience and prolong usage time. In addition, we verify the factors of online video platforms that affect perceived serendipity, such as enabled connections, introduced unexpected information, and induced curiosity. This study used questionnaires to survey YouTube users and analyzed 405 samples using the Structural Equation Model (SEM) method. The result shows that enabled connections and introduced unexpected information significantly affect perceived serendipity, which significantly impacts on the flow experience. Although induced curiosity does not significantly affect perceived serendipity, it directly affects the flow experience. Moreover, both perceived serendipity and flow experience positively affect intentions to prolong usage time. The results validate that serendipity is another antecedent of flow experience, and support the assumption that increasing the likelihood of perceived serendipity will affect users’ intention to prolong usage time in online video hosting services. The implication of research and discussions provides references for online video hosting service providers in marketing and operations.

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Section: Serendipitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sustainability in Online Video Hosting Services: The Effects of Serendipity and Flow Experience on Prolonged Usage Time

Cheng

2020

Sustainability

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“…Serendipity is identified after it has occurred, sometimes even after a significant amount of time has elapsed (Foster & Ellis, 2014). Data are gathered in two main ways: either semi-structured interviews (Erdelez et al, 2016;Makri & Blandford, 2012; or collections of reports of serendipity in either the first or third person (Van Andel, 1994;Yaqub, 2018). If serendipity is researched using retrospective narratives, then the person's understanding of serendipity is centered and directs our own understanding of it (cf.…”

Section: Microserendipitymentioning

confidence: 99%

Microserendipity in the Creative Process

Ross¹,

Vallée-Tourangeau²

2020

Journal of Creative Behavior

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Qualitative research on creativity often highlights the role of accidents in creative process, but there is little research that takes these as its main topic. Perhaps because a model that relies on accidents undermines the meaningfulness of creativity; perhaps because the phenomenon itself is too complex to underwrite an entire research program. This paper suggests the framework of serendipity to better understand the interaction between a person and chance occurrences. Serendipity is a fortuitous accident, the enactment of environmental luck by a prepared mind. Current research on serendipity proceeds from a mainly retrospective position, centring the experience of the person. This creates a serendipitous narrative without necessarily telling us more about the moment itself. It is thus harder to consider the role of accidental moments and the nature of their contribution to the creative process. We argue that these moments, viewed outside of the person's narrative account, are worthy of study and offer some suggestions for how that might occur. We use the term "microserendipity" to designate moments which arise from distributed creative agency. We suggest we can support current research in both creativity and serendipity by undertaking detailed analysis of observational data to scaffold understanding of these complex phenomena.

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“…In past studies, serendipity was defined as "happy accidents" (Magennis et al, 2016), "accidental discovery", or "unintended finding" (Yi et al, 2017). Oxford Dictionary stated that 'serendipity' is "the occurrence and development of events by chance happily or beneficially,' while the origin of the term was "making discoveries, by accidents and sagacity," (Erdelez et al, 2016). For more than a centuries, the topic of serendipity has been studied in various disciplines (Erdelez et al, 2016) such as medicine, entrepreneurship, organizational sciences and information sciences (Yi et al, 2017).…”

Section: Serendipitymentioning

confidence: 99%

A Hybrid Serendipity Social Recommender Model

Zolkafly

Ahmad

2020

MJoC

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Social support is essential, especially in a working environment, because it can reduce psychological strain. The psychological strain associated with mental health in daily lives could have been gained from mismatched staffing and indirect control of the staffs. In order to meditate the problem, in this study, a hybrid serendipity social recommender model is proposed. This model is a combination of several proposed models encountered during the development process. Firstly, Rough Set Theory (RST) has been used in the early development stage to compute an automated attribute selection. RST is a mathematical tool that is widely used for knowledge discovery and feature selection. At the same time, it, minimizes redundancies among variables in classifying objects and extracts rules from the database. In the next stage, the classification model is used to classify the data into subclasses by using a deep learning algorithm. This algorithm aims to define the higher matching suggested attributes and used for processing massive data. Lastly, a reasoning approach is applied by using case-based reasoning from the result produced. The reasoning approach is used to finding the reasons why the attributes are selected. This approach searches the history of the selected attributes or compute a reason by digging back in the database.

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Research perspectives on serendipity and information encountering

Cited by 15 publications

References 16 publications

Sustainability in Online Video Hosting Services: The Effects of Serendipity and Flow Experience on Prolonged Usage Time

Sustainability in Online Video Hosting Services: The Effects of Serendipity and Flow Experience on Prolonged Usage Time

Microserendipity in the Creative Process

A Hybrid Serendipity Social Recommender Model

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