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Journal articles on the topic 'Serendipity'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2024

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1

McCay-Peet, Lori, and Peter G. Wells. "Serendipity in the sciences – exploring the boundaries." Proceedings of the Nova Scotian Institute of Science (NSIS) 49, no. 1 (March 30, 2017): 97. http://dx.doi.org/10.15273/pnsis.v49i1.6981.

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Serendipity in the sciences is an unexpected experience prompted by valuable interaction with ideas, information, objects, or phenomena. While serendipity is often associated with the “aha” and “eureka” moments that characterize well-known scientific discoveries such as the structure of DNA, serendipity may be more accurately described as a factor across the various stages of the scientific process. For example, serendipity in the sciences includes those unexpected encounters with prior research findings that are fostered by informal knowledge sharing within and among scientific communities. Serendipity’s contribution to science is increasingly noted by scientists in formal scientific reports, by funding agencies which recognize the need to make room and provide support for serendipity in science, and is often credited with the development of fruitful scientific careers. This paper describes the process of serendipity—the pattern of the phenomenon—that will be familiar to many who have experienced it and noteworthy for those whose have not. Through examples of serendipity in the sciences, different perspectives on its role are explored and lessons drawn.

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2

Larsen, Svend. "Serendipitet og kulturforvaltning." Peripeti 4, S1 (January 1, 2007): 9–14. http://dx.doi.org/10.7146/peri.v4is1.110528.

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Svend Larsens udgangspunkt er en bog om serendipitet skrevet af to amerikanske sociologer Robert Merton og Elinor Barber: The Travels and Adventures of Serendipity og han foretager herfra overvejelser om begrebets anvendelighed i kulturforvaltning og specielt biblioteksvæsenet.

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3

KUMADA, Makoto. "Serendipity." Journal of Synthetic Organic Chemistry, Japan 48, no. 9 (1990): 844–49. http://dx.doi.org/10.5059/yukigoseikyokaishi.48.844.

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4

Krist, Gary. "Serendipity." Hudson Review 42, no. 4 (1990): 659. http://dx.doi.org/10.2307/3852380.

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5

Justin, R. G. "Serendipity." Journal of the American Board of Family Medicine 22, no. 3 (May 1, 2009): 335–36. http://dx.doi.org/10.3122/jabfm.2009.03.080178.

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6

Susman, Ed. "Serendipity." Oncology Times 36, no. 15 (August 2014): 27. http://dx.doi.org/10.1097/01.cot.0000453421.62852.11.

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7

Scoville, Addison B. "SERENDIPITY." Southern Medical Journal 80, no. 11 (November 1987): 1340–42. http://dx.doi.org/10.1097/00007611-198711000-00002.

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8

Fitzgerald, Michael. "Serendipity." World Literature Today 78, no. 1 (2004): 24. http://dx.doi.org/10.2307/40158352.

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9

Sanner, Donald W. "SERENDIPITY." Journal of Gerontological Nursing 11, no. 9 (September 1, 1985): 44. http://dx.doi.org/10.3928/0098-9134-19850901-23.

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10

Harvey, Yona. "Serendipity." Callaloo 25, no. 2 (2002): 401. http://dx.doi.org/10.1353/cal.2002.0072.

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11

Pham, Thuy. "Serendipity." Journal of Palliative Medicine 16, no. 9 (September 2013): 1151. http://dx.doi.org/10.1089/jpm.2013.0001.

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12

Florczak, Kristine L. "Serendipity." Nursing Science Quarterly 28, no. 4 (September 22, 2015): 267–71. http://dx.doi.org/10.1177/0894318415599227.

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13

Hannan, Patrick J., John F. Christman, and Rustum Roy. "Serendipity." Physics Today 38, no. 11 (November 1985): 146. http://dx.doi.org/10.1063/1.2814792.

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14

Heinrich, Kathleen T., and Barbara Witt. "Serendipity." Nurse Educator 23, no. 4 (July 1998): 40–44. http://dx.doi.org/10.1097/00006223-199807000-00013.

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15

METZGER, W. JAMES. "Serendipity." Annals of Allergy, Asthma & Immunology 84, no. 4 (April 2000): 402. http://dx.doi.org/10.1016/s1081-1206(10)62272-7.

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16

Lasry, Jean Michel. "Serendipity." Mathematics and Financial Economics 8, no. 4 (September 2014): 327–31. http://dx.doi.org/10.1007/s11579-014-0131-3.

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17

Folkers, Gerd. "Serendipity!" Pharmaceutica Acta Helvetiae 70, no. 2 (July 1995): 93. http://dx.doi.org/10.1016/0031-6865(95)94778-n.

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18

Ellestad, Myrvin H. "Serendipity." Journal of the American College of Cardiology 54, no. 2 (July 2009): 181–82. http://dx.doi.org/10.1016/j.jacc.2009.03.046.

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19

Shaldon, S. "Serendipity." Nephrology Dialysis Transplantation 22, no. 12 (August 25, 2007): 3671. http://dx.doi.org/10.1093/ndt/gfm489.

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20

Ellis, Chris. "Serendipity." South African Family Practice 52, no. 5 (September 2010): 480. http://dx.doi.org/10.1080/20786204.2010.10874030.

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21

Sussman, Raquel. "Serendipity." Journal of Biological Chemistry 284, no. 16 (December 15, 2008): 10285–90. http://dx.doi.org/10.1074/jbc.x800013200.

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22

Crosby, David. "Serendipity." BMJ 329, no. 7479 (December 9, 2004): 1385.3. http://dx.doi.org/10.1136/bmj.329.7479.1385-b.

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23

Borzsák, István. "„Serendipity”." Antik Tanulmányok 47, no. 1 (December 1, 2003): 127–28. http://dx.doi.org/10.1556/anttan.47.2003.1.10.

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24

Field, Liza. "Serendipity." River Teeth: A Journal of Nonfiction Narrative 8, no. 2 (2007): 49–52. http://dx.doi.org/10.1353/rvt.2007.0003.

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25

Williams, Jonathan F., Adam Quinn, and Sorhab Mobarhan. "Serendipity." American Journal of Gastroenterology 101 (September 2006): S226. http://dx.doi.org/10.14309/00000434-200609001-00538.

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26

Guinan, Natasha. "Serendipity." Philosophy and Geography 4, no. 2 (August 1, 2001): 139–40. http://dx.doi.org/10.1080/10903770120067007.

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Guinan, Natasha. "Serendipity." Philosophy & Geography 4, no. 2 (August 2001): 139–40. http://dx.doi.org/10.1080/10903770123863.

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28

Narsia Amsad, Lusia. "Tinjauan Penalaran Ilmiah Pada Penemuan-Penemuan Sains Yang Tak Disengaja (Serendipity)." Jurnal Filsafat Indonesia 2, no. 1 (May 16, 2019): 12. http://dx.doi.org/10.23887/jfi.v2i1.17546.

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Banyak penemuan tak terduga (kebetulan) memiliki dampak mendalam dalam pembelajaran sains. Berdasarkan tipologi serendipity dapat dikompilasi menjadi serendipity murni dan pseudo serendipity. Selain itu, Serendipity murni jika kita dikaitkan dengan penalaran ilmiah diketahui bahwa itu cenderung terjadi sesuai dengan inferensi induktif, inferensi abduktif, sedangkan kebetulan semu sebagian besar terjadi oleh inferensi deduktif. Oleh karena itu, berdasarkan penalaran ilmiah, kebetulan dapat dikelompokkan menjadi: 1) Kesempatan yang muncul dari kesimpulan induktif; 2) Serendipity yang berasal dari kesimpulan deduktif; dan 3) Serendipity yang muncul dari inferensi abduktif yang menggarisbawahi konstruksi teori berdasarkan fakta. Kata kunci : Serendipity murni, Pseudo serendipity, Penalaran ilmiah

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29

Edward Foster, Allen, and David Ellis. "Serendipity and its study." Journal of Documentation 70, no. 6 (October 7, 2014): 1015–38. http://dx.doi.org/10.1108/jd-03-2014-0053.

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Purpose – The purpose of this paper is to explore the concept of serendipity and approaches to its study particularly in relation to information studies. Design/methodology/approach – The origins of the term serendipity are described and its elaboration as an exploratory and explanatory concept in science and the social sciences are outlined. The distinction between serendipity and serendipity pattern is explained and theoretical and empirical studies of both serendipity and the serendipity patterns are explored. The relationship between information encountering is described. Empirical studies of serendipity using Citation Classics and other research approaches in information studies are described. Findings – The discrepancy between occurrences of serendipity in studies using Citation Classics and reported serendipity in philosophy of science, research anecdotes, information encountering and information seeking by inter-disciplinary researchers is highlighted. A comparison between a process model of serendipity and serendipity as an emergent behavioural characteristic are indicates directions for future research. Originality/value – The paper provides and original synthesis of the theoretical and empirical literature on serendipity with particular reference to work in information studies and an indication of the methodological difficulties involved in its study.

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30

Björneborn, Lennart. "Three key affordances for serendipity." Journal of Documentation 73, no. 5 (September 11, 2017): 1053–81. http://dx.doi.org/10.1108/jd-07-2016-0097.

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Purpose Serendipity is an interesting phenomenon to study in information science as it plays a fundamental – but perhaps underestimated – role in how we discover, explore, and learn in all fields of life. The purpose of this paper is to operationalize the concept of serendipity by providing terminological “building blocks” for understanding connections between environmental and personal factors in serendipitous encounters. Understanding these connections is essential when designing affordances in physical and digital environments that can facilitate serendipity. Design/methodology/approach In this paper, serendipity is defined as what happens when we, in unplanned ways, encounter resources (information, things, people, etc.) that we find interesting. In the outlined framework, serendipity is understood as an affordance, i.e., a usage potential when environmental and personal factors correspond with each other. The framework introduces three key affordances for facilitating serendipity: diversifiability, traversability, and sensoriability, covering capacities of physical and digital environments to be diversified, traversed, and sensed. The framework is structured around couplings between the three key affordances and three key personal serendipity factors: curiosity, mobility, and sensitivity. Ten sub-affordances for serendipity and ten coupled personal sub-factors are also briefly outlined. Related research is compared with and mapped into the framework aiming at a theoretical validation. The affordance approach to serendipity is discussed, including different degrees and types of serendipity. Findings All the terminological “building blocks” in the framework are seen to resonate with the included related research. Serendipity is found to be a commonplace phenomenon in everyday life. It is argued that we cannot “engineer” nor “design” serendipity per se, but can design affordances for serendipity. Serendipity may thus be intended by designers, but must always be unplanned by users. The outlined affordance approach to serendipity points to the importance of our sensory-motor abilities to discover and explore serendipitous affordances. Research limitations/implications Implications of the framework for designing physical and digital environments with affordances for serendipity are briefly considered. It is suggested that physical environments may have a primacy regarding affordances of sensoriability for facilitating serendipity, and digital environments a primacy regarding traversability, whereas physical and digital environments may afford similar degrees of diversifiability. In future research, the framework needs further empirical validation in physical and digital environments. Originality/value No other research has been found addressing affordances for serendipity and connections between environmental and personal factors in similarly detailed ways. The outlined framework and typology may function as a baseline for further serendipity studies.

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31

Nurkamilai, Novia, Yola Dwi Aprilliah, and Dian Hartat. "TRANSFORMASI NOVEL SERENDIPITY KE DALAM FILM SERENDIPITY KARYA ERISCA FEBRIANI: KAJIAN SASTRA BANDINGAN." Hasta Wiyata 4, no. 2 (July 1, 2021): 172–80. http://dx.doi.org/10.21776/ub.hastawiyata.2021.004.02.05.

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This comparative analysis descriptive study aims to (1) describe the transformation of the novel Serendipity into the film Serendipity, and (2) describe the social conflicts contained in the novel Serendipity by Erisca Febriani. The data sources for this research are the film and novel Serendipity by Erisca Febriani. The data of this research are in the form of sentences contained in the Serendipity Novel and Serendipity Film by Erisca Febriani with a sociological approach to literature. This research data collection by watching the film Serendipity and literature study. This study uses a sociology of literature approach with the following steps: (1) determining the subject and object of research, (2) research work (data reduction, data presentation, and drawing conclusions). The results of this study indicate that (1) the transformation of the novel into the film Serendipity shows several changes when it is adapted into a film, and (2) the social conflict in the novel Serendipity by Erisca Febriani is built by one conflict, namely socio-economic conflict.

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32

Mirvahedi, Saeed, and Sussie Morrish. "The role of serendipity in opportunity exploration." Journal of Research in Marketing and Entrepreneurship 19, no. 2 (October 16, 2017): 182–200. http://dx.doi.org/10.1108/jrme-10-2017-0045.

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Purpose This paper aims to investigate the distinctive role of serendipity in opportunity exploration. The study specifically explores how serendipity happens and the pattern of its occurrence. The paper attempts to break new ground in the study of serendipity within the entrepreneurship area. Serendipity is quite established in scientific literature and investigating this concept in the context of entrepreneurship contributes towards the discourse on why some firms are able to discover and realise opportunities that seem to present themselves sometimes out of nowhere. Design/methodology/approach The study uses multiple case studies, cross-country approaches and the causal mapping method. Findings The findings suggest that serendipity is likely to take place at the early stages of firm formation. In addition to the three patterns of serendipity that are well-known in accidental scientific discoveries, the authors identify and introduce “entrepreneurial serendipity” as a distinctive pattern in entrepreneurship, whereby entrepreneurs look for any opportunity to start a business and explore an appropriate opportunity that comes along. Research limitations/implications This research has several limitations that offer new opportunities for future research. Further research can be undertaken to compare successful fast-growth firms with unsuccessful firms to determine how entrepreneurs were exposed to serendipity and to what extent they were able to exploit and realise opportunities. A comparative study would also enhance the authors’ interpretation of the role of serendipity in these two types of firms and demonstrate the different levels of serendipity they are potentially exposed to. The debate on serendipity could benefit from quantitative research and some tangible measures of serendipity can be developed. Practical implications The findings help entrepreneurs understand elements involved in opportunity exploration. The role of serendipity and its sources offer some suggestions on how entrepreneurs can potentially expose themselves to serendipity. The role of networks is crucial to doing business, and entrepreneurs should be aware of expanding their personal and business networks. Being engaged in friendly, professional and academic networks helps in finding new opportunities. Perseverance, being alert to changes in the environment and commitment to clients in terms of high-quality products and services are other elements that may open new windows of opportunity. Originality/value This paper provides empirical evidence that serendipity does play an important role in nearly every investigated business, regardless of their size and age. Serendipity potentially leads to new opportunities and entrepreneurs can explore them to achieve growth. By investigating grown firms in New Zealand and Iran, the authors identified a new pattern of serendipity in terms of opportunity discovery. This unique pattern, entrepreneurial serendipity, is characterised by finding an unspecified opportunity through an orderly or haphazard search, which could happen with either high or low levels of knowledge.

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33

Hartanto, Widhi, Noor Akhmad Setiawan, and Teguh Bharata Adji. "Serendipity Identification Using Distance-Based Approach." IJITEE (International Journal of Information Technology and Electrical Engineering) 5, no. 1 (June 18, 2021): 9. http://dx.doi.org/10.22146/ijitee.62344.

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The recommendation system is a method for helping consumers to find products that fit their preferences. However, recommendations that are merely based on user preference are no longer satisfactory. Consumers expect recommendations that are novel, unexpected, and relevant. It requires the development of a serendipity recommendation system that matches the serendipity data character. However, there are still debates among researchers about the available common definition of serendipity. Therefore, our study proposes a work to identify serendipity data's character by directly using serendipity data ground truth from the famous Movielens dataset. The serendipity data identification is based on a distance-based approach using collaborative filtering and k-means clustering algorithms. Collaborative filtering is used to calculate the similarity value between data, while k-means is used to cluster the collaborative filtering data. The resulting clusters are used to determine the position of the serendipity cluster. The result of this study shows that the average distance between the recommended movie cluster and the serendipity movie cluster is 0.85 units, which is neither the closest cluster nor the farthest cluster from the recommended movie cluster.

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34

Sun, Ning. "Overview of definition, evaluation, and algorithms of serendipity in recommender systems." Applied and Computational Engineering 6, no. 1 (June 14, 2023): 565–71. http://dx.doi.org/10.54254/2755-2721/6/20230861.

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Over time, recommendation systems are playing an important role in an increasingly wide range of areas, such as paper retrieval sites that can recommend papers or books to users, and shopping sites that can recommend products to users. With the development of recommendation systems, there are many different metrics to measure a good recommendation system, including serendipity. This paper summarizes the definition of serendipity, a review of the metrics for measuring serendipity, and several major serendipity-oriented algorithms and presents conjectures for future research on serendipity. Through the research of some papers, for how to delimit and evaluate recommender systems, experts have mostly focused on the unexpected, and most of them use and optimize collaborative filtering algorithms to achieve and improve serendipity.

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35

Olshannikova, Ekaterina, Thomas Olsson, Jukka Huhtamäki, Susanna Paasovaara, and Hannu Kärkkäinen. "From Chance to Serendipity: Knowledge Workers’ Experiences of Serendipitous Social Encounters." Advances in Human-Computer Interaction 2020 (February 14, 2020): 1–18. http://dx.doi.org/10.1155/2020/1827107.

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Serendipity refers to uncontrolled circumstances that lead to unexpected yet fortunate discoveries. The phenomenon has been studied extensively in relation to information retrieval. However, serendipity in the context of social encounters has been the subject of few empirical studies. In professional life, social serendipity might result in benefits such as fruitful collaboration, successful recruitment, discovery of novel information, and acquisition of crucial new perspectives from peers. Despite the potential significance of serendipity, particularly for knowledge work, there is a lack of empirical understanding of related subjective experiences and the role of technology within the process of encountering unsought findings. This qualitative study investigates knowledge workers’ detailed narratives of serendipitous social encounters and the related factors through an analysis of 37 responses to an international online survey. We provide a detailed account of the experiential characteristics and contextual qualities of the reported instances of social serendipity. Finally, we discuss the seemingly minor role of technology in social serendipity and research avenues to computationally enhance social serendipity.

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36

Фейгельман, А. М. "Счастливая (не)случайность: серендипность как фактор решения научных проблем." Epistemology & Philosophy of Science 60, no. 1 (2023): 43–49. http://dx.doi.org/10.5840/eps20236014.

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The article considers the concept of serendipity (the ability to make unexpected discoveries) in comparison with the concept of “epistemological randomization” introduced by A.M. Dorozhkin and S.V. Shibarshina. The genesis and content of the concept of “serendipity” in the interpretation of American sociologists R. Merton and E. Barber are revealed. The division of serendipity into three types is considered depending on the source and result of an unexpected scientific discovery. The first type of serendipity refers to a situation of random observation, when neither the observation itself nor the conclusions drawn from it are part of the research already being carried out. The second type of serendipity is associated with the process of finding a solution to one problem, which suddenly leads to a solution to another. A third type of serendipity can arise when investigating a familiar problem, when the solution comes from an unexpected source. It is concluded that epistemological randomization, which is introduced into an existing study, is similar to the second and third types of serendipity, where the randomness factor is limited. In conclusion, it is emphasized that, in contrast to the principle of epistemological randomization, serendipity is an emergent phenomenon and cannot be caused consciously. Serendipity is manifested where an unexpected phenomenon meets a special type of subject who is able to notice and fruitfully interpret an unusual phenomenon.

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37

Sun, Xu, Xiaosong Zhou, Qingfeng Wang, Sarah Sharples, and Yaorun Zhang. "A Review of Research Methodologies Employed in Serendipity Studies in the Context of Information Research." Pacific Asia Journal of the Association for Information Systems 13 (2021): 72–90. http://dx.doi.org/10.17705/1pais.13204.

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Abstract Background: The concept of serendipity has become increasingly interesting for those undertaking serendipity research in recent years. However, serendipitous encounters are subjective and rare in a real-world context, making this an extremely challenging subject to study. Methods: Various methods have been proposed to enable researchers to understand and measure serendipity, but there is no broad consensus on which methods to use in different experimental settings. A comprehensive literature review was first conducted, which summarizes the research methods being employed to study serendipity. It was followed by a series of interviews with experts that specified the relative strengths and weaknesses of each method identified in the literature review, in addition to the challenges usually confronted in serendipity research. Results: The findings suggest using mixed research methods to produce a more complete picture of serendipity and contribute to the verification of any research findings. Several challenges and implications relating to empirical studies in the investigation of serendipity have been derived from this study. Conclusions: This paper investigated research methods employed to study serendipity by synthesizing finding from a literature review and the interviews with experts. It provides a methodological contribution to serendipity studies by systematically summarizing the methods employed in the studies of serendipity and identifying the strengths and weakness of each method. It also suggests the novel approach of using mixed research methods to study serendipity. This study has potential limitations related to a small number of experts involved in the expert interview. However, it should be noted that the nature of the topic is a relatively focused area, and it was observed after interviewing the experts that new data seems to not contribute to the findings owing to its repetition of comments

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38

Kamiyoshihara, Mitsuhiro, Toshiteru Nagashima, Takashi Ibe, and Izumi Takeyoshi. "Promote Serendipity!" Kitakanto Medical Journal 60, no. 1 (2009): 49–56. http://dx.doi.org/10.2974/kmj.60.49.

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Jiang, Jialun Aaron, Kandrea Wade, Casey Fiesler, and Jed R. Brubaker. "Supporting Serendipity." Proceedings of the ACM on Human-Computer Interaction 5, CSCW1 (April 13, 2021): 1–23. http://dx.doi.org/10.1145/3449168.

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40

Cryer, Gerald. "Managing serendipity." Aslib Proceedings 41, no. 11/12 (November 1989): 331–37. http://dx.doi.org/10.1108/eb051154.

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41

Chattipakorn, Nipon. "Finding serendipity." Experimental Physiology 102, no. 9 (August 30, 2017): 1044–45. http://dx.doi.org/10.1113/ep086459.

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42

Greene, Laura H. "Taming serendipity." Physics World 24, no. 04 (April 2011): 41–43. http://dx.doi.org/10.1088/2058-7058/24/04/37.

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43

Durrani, Matin. "Serendipity counts." Physics World 29, no. 5 (May 2016): 15. http://dx.doi.org/10.1088/2058-7058/29/5/27.

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44

Fletcher, Richard, and Rasmus Kleis Nielsen. "Automated Serendipity." Digital Journalism 6, no. 8 (September 14, 2018): 976–89. http://dx.doi.org/10.1080/21670811.2018.1502045.

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45

Gibton, Dan. "Evaluating serendipity." Studies in Educational Evaluation 28, no. 2 (January 2002): 189–98. http://dx.doi.org/10.1016/s0191-491x(02)00019-6.

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46

de Lange, Catherine. "Serendipity engines." New Scientist 215, no. 2879 (August 2012): 46–49. http://dx.doi.org/10.1016/s0262-4079(12)62216-7.

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47

Ober, K. Patrick. "Incidental serendipity." Journal of the American Academy of Physician Assistants 26, no. 9 (September 2013): 1. http://dx.doi.org/10.1097/01.jaa.0000433965.22547.5e.

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48

Vinge, V. "Synthetic serendipity." IEEE Spectrum 41, no. 7 (July 2004): 35–44. http://dx.doi.org/10.1109/mspec.2004.1309803.

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Wang, Ernest E. "Un-Serendipity." Annals of Emergency Medicine 47, no. 1 (January 2006): 117. http://dx.doi.org/10.1016/j.annemergmed.2005.04.014.

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Attaalla, Mina. "SIM Serendipity." Annals of Emergency Medicine 69, no. 5 (May 2017): 653. http://dx.doi.org/10.1016/j.annemergmed.2016.10.012.

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