Decision making framework for thinking about information seeking behavior

Lopatovska, Irene

doi:10.1002/meet.1450440252

Cited by 3 publications

(2 citation statements)

References 63 publications

(75 reference statements)

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“…From the perspective of information behaviour research, the features of efferent reading are particularly relevant for studies examining how people seek and use problem-specific information. In this context, one of the issues largely neglected in prior research deals with the connections between (i) information seeking, (ii) information use, (iii) problem solving and (iv) decision making (Kolarić, Cool and Stričević, 2018;Lopatovska, 2007). In general, information seeking deals with the identification, selection and accessing of potentially useful sources, while information use refers to physical and mental incorporation of the found information into one's prior knowledge (Wilson, 2000).…”

Section: Discussionmentioning

confidence: 99%

Sharing information through book reviews in blogs

Savolainen

2019

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Purpose The purpose of this paper is to contribute to research on information sharing by drawing on the reader-response theory developed by Louise Rosenblatt. To this end, information sharing is approached by examining how bloggers communicate their reading experiences of fiction and non-fiction books. Design/methodology/approach The conceptual framework is based on the differentiation between efferent and aesthetic reading stances specified by Rosenblatt. The efferent stance directs attention to what is to be extracted from reading for instrumental purposes such as task performance. The aesthetic stance focuses on what is being lived through during the reading event. Rosenblatt’s framework was elaborated by specifying eight categories of efferent reading and six categories of aesthetic reading. The ways in which bloggers communicate their responses to such readings were examined by scrutinising a sample of 300 posts from two book blogs. Findings The bloggers mainly articulated responses to efferent reading by sharing information about the content of the reviewed books, as well as their strengths and weaknesses. Responses to aesthetic reading were mainly articulated by describing how the bloggers experienced the narrative, what kind immersive experiences they had and what kind of emotions were felt during the reading process. Research limitations/implications As the study is explorative in nature and focusses on a sample of blog posts, the findings cannot be generalised to depict how people share their responses to efferent and aesthetic reading in social media forums. Originality/value The paper pioneers by examining the potential of Rosenblatt’s theory in the study of sharing information about reading experiences in book blogs. The findings demonstrate that the categories of efferent and aesthetic reading can be elaborated further for the needs of information behaviour research.

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Section: Discussionmentioning

confidence: 99%

Sharing information through book reviews in blogs

Savolainen

2019

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“…Depending on the set criteria, these alternatives are evaluated, and the best alternative is selected to act upon in given circumstances [32]. There is a potential consequence of the alternate that is chosen for making the decision [33]. The last step of this decision-making process is feedback; it helps in evaluating the effectiveness of the given decision.…”

Section: Introductionmentioning

confidence: 99%

From data mining to wisdom mining

Khan

Shaheen

2021

Journal of Information Science

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The knowledge gained from data mining is highly dependent on the experience of an expert for further analysis to increase effectiveness and wise decision-making. This mined knowledge requires actionability enhancement before it can be applied to real-world problems. The literature highlights the reasons that emerged the need to incorporate human wisdom in decision-making for complex problems. To solve this problem, a domain called ‘Wisdom Mining’ is recommended, proposing a set of algorithms parallel to the algorithms proposed by the data mining. In wisdom mining, a process to extract wisdom needs to be defined with less influence from an expert. This review proposed improvements to data mining techniques and their applications in the real world and emphasised the need to seek ways to harness wisdom from data. This study covers the diverse definitions and different perspectives of wisdom within philosophy, psychology, management and computer science. This comprehensive literature review served as a foundation for constructing a wise decision framework that aided in identifying the wisdom factors like context, utility, location and time. The inclusion of these wisdom factors in existing data mining algorithms makes the transition from data mining to wisdom mining possible. This research includes the relationship between these two mining process that facilitated further elucidation of the wisdom mining process. Potential research trends in the domain are also seen as a potential endeavour to improve the analysis and use of data.

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