Information behavior

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Short description: How people find information
Information science
General aspects
Related fields and sub-fields

Information behavior is a field of information science research that seeks to understand the way people search for and use information[1] in various contexts. It can include information seeking and information retrieval, but it also aims to understand why people seek information and how they use it. The term 'information behavior' was coined by Thomas D. Wilson in 1982[2] and sparked controversy upon its introduction.[3] The term has now been adopted and Wilson's model of information behavior is widely cited in information behavior literature.[4] In 2000, Wilson defined information behavior as "the totality of human behavior in relation to sources and channels of information".[5]

A variety of theories of information behavior seek to understand the processes that surround information seeking.[6] An analysis of the most cited publications on information behavior during the early 21st century shows its theoretical nature.[7] Information behavior research can employ various research methodologies grounded in broader research paradigms from psychology, sociology and education.[8]

In 2003, a framework for information-seeking studies was introduced that aims to guide the production of clear, structured descriptions of research objects and positions information-seeking as a concept within information behavior.[9]

Concepts of information behavior

Information need

Information need is a concept introduced by Wilson. Understanding the information need of an individual involved three elements:

  1. Why the individual decides to look for information,
  2. What purpose the information they find will serve, and
  3. How the information is used once it is retrieved [2]

Information-seeking behavior

Information-seeking behavior is a more specific concept of information behavior. It specifically focuses on searching, finding, and retrieving information. Information-seeking behavior research can focus on improving information systems or, if it includes information need, can also focus on why the user behaves the way they do. A review study on information search behavior of users highlighted that behavioral factors, personal factors, product/service factors and situational factors affect information search behavior.[10] Information-seeking behavior can be more or less explicit on the part of users: users might seek to solve some task or to establish some piece of knowledge which can be found in the data in question,[11] or alternatively the search process itself is part of the objective of the user, in use cases for exploring visual content or for familiarising oneself with the content of an information service.[12] In the general case, information-seeking needs to be understood and analysed as a session rather than as a one-off transaction with a search engine, and in a broader context which includes user high-level intentions in addition to the immediate information need.[13]

Information use

User studies vs. usage studies

Information poverty and barriers

Introduced by Elfreda Chatman in 1987,[14] information poverty is informed by the understanding that information is not equally accessible to all people. Information poverty does not describe a lack of information, but rather a worldview in which one's own experiences inside their own small world may create a distrust in the information provided by those outside their own lived experiences.[14]

Metatheories

In Library and Information Science (LIS), a metatheory is described "a set of assumptions that orient and direct theorizing about a given phenomenon".[15] Library and information science researchers have adopted a number of different metatheories in their research. A common concern among LIS researchers, and a prominent discussion in the field, is the broad spectrum of theories that inform the study of information behavior, information users, or information use. This variation has been noted as a cause of concern because it makes individual studies difficult to compare or synthesize if they are not guided by the same theory. This sentiment has been expressed in studies of information behavior literature from the early 1980s [16] and more recent literature reviews have declared it necessary to refine their reviews to specific contexts or situations due to the sheer breadth of information behavior research available.[17]

Below are descriptions of some, but not all, metatheories that have guided LIS research.

Cognitivist approach

A cognitive approach to understanding information behavior is grounded in psychology. It holds the assumption that a person's thinking influences how they seek, retrieve, and use information. Researchers that approach information behavior with the assumption that it is influenced by cognition, seek to understand what someone is thinking while they engage in information behavior and how those thoughts influence their behavior.[18]

Wilson's attempt to understand information-seeking behavior by defining information need includes a cognitive approach. Wilson theorizes that information behavior is influenced by the cognitive need of an individual. By understanding the cognitive information need of an individual, we may gain insight into their information behavior.[2]

Nigel Ford takes a cognitive approach to information-seeking, focusing on the intellectual processes of information-seeking. In 2004, Ford proposed an information-seeking model using a cognitive approach that focuses on how to improve information retrieval systems and serves to establish information-seeking and information behavior as concepts in and of themselves, rather than synonymous terms. [19]

Constructionist approach

The constructionist approach to information behavior has roots in the humanities and social sciences. It relies on social constructionism, which assumes that a person's information behavior is influenced by their experiences in society.[18] In order to understand information behavior, constructionist researchers must first understand the social discourse that surrounds the behavior. The most popular thinker referenced in constructionist information behavior research is Michel Foucault, who famously rejected the concept of a universal human nature. The constructionist approach to information behavior research creates space for contextualizing the behavior based on the social experiences of the individual.

One study that approaches information behavior research through the social constructionist approach is a study of the information behavior of a public library knitting group.[20] The authors use a collectivist theory to frame their research, which denies the universality of information behavior and focuses on "understanding the ways that discourse communities collectively construct information needs, seeking, sources, and uses".[20]

Constructivist approach

The constructivist approach is born out of education and sociology in which, "individuals are seen as actively constructing an understanding of their worlds, heavily influenced by the social world(s) in which they are operating".[18] Constructivist approaches to information behavior research generally treat the individual's reality as constructed within their own mind rather than built by the society in which they live.[21]

The constructivist metatheory makes space for the influence of society and culture with social constructivism, "which argues that, while the mind constructs reality in its relationship to the world, this mental process is significantly informed by influences received from societal conventions, history and interaction with significant others".[21]

Theories

A common concern among LIS researchers, and a prominent discussion in the field, is the broad spectrum of theories that inform LIS research. This variation has been noted as a cause of concern because it makes individual studies difficult to compare if they are not guided by the same theory. Recent studies have shown that the impact of these theories and theoretical models is very limited.[22]LIS researchers have applied concepts and theories from many disciplines, including sociology, psychology, communication, organizational behavior, and computer science.[23][24]

Wilson's theory of information behavior (1981)

Main page: Wilson's model of information behavior

The term was coined by Thomas D. Wilson in his 1981 paper, on the grounds that the current term, 'information needs' was unhelpful since 'need' could not be directly observed, while how people behaved in seeking information could be observed and investigated.[2] However, there is increasing work in the information-searching field that is relating behaviors to underlying needs.[25] In 2000, Wilson described information behavior as the totality of human behavior in relation to sources and channels of information, including both active and passive information-seeking, and information use.[5] He described information-seeking behavior as purposive seeking of information as a consequence of a need to satisfy some goal. Information-seeking behavior is the micro-level of behavior employed by the searcher in interacting with information systems of all kinds, be it between the seeker and the system, or the pure method of creating and following up on a search.

Thomas Wilson proposed that information behavior covers all aspects of human information behavior, whether active or passive. Information-seeking behavior is the act of actively seeking information in order to answer a specific query. Information-searching behavior is the behavior which stems from the searcher interacting with the system in question. Information use behavior pertains to the searcher adopting the knowledge they sought.

Small worlds and life in the round

Elfreda Chatman developed the theory of life in the round, which she defines as a world of tolerated approximation. It acknowledges reality at its most routine, predictable enough that unless an initial problem should arise, there is no point in seeking information.[26] Chatman examined this principle within a small world: a world which imposes on its participants similar concerns and awareness of who is important; which ideas are relevant and whom to trust. Participants in this world are considered insiders.[26] Chatman focused her study on women at a maximum security prison. She learned that over time, prisoner's private views were assimilated to a communal acceptance of life in the round: a small world perceived in accordance with agreed upon standards and communal perspective. Members who live in the round will not cross the boundaries of their world to seek information unless it is critical; there is a collective expectation that information is relevant; or life lived in the round no longer functions. The world outside prison has secondary importance to inmates who are absent from this reality which is changing with time.[26]

Navigators and explorers

This compares the internet search methods of experienced information seekers (navigators) and inexperienced information seekers (explorers). Navigators revisit domains; follow sequential searches and have few deviations or regressions within their search patterns and interactions. Explorers visit many domains; submit many questions and their search trails branch frequently.[27]

Sensemaking

Main page: Sensemaking (information science)

Brenda Dervin developed the concept of sensemaking. Sensemaking considers how we (attempt to) make sense of uncertain situations.[28] Her description of Sensemaking consisted of the definition of how we interpret information to use for our own information related decisions.

Brenda Dervin described sensemaking as a method through which people make sense of their worlds in their own language.

Anomalous state of knowledge (ASK)

ASK was also developed by Nicholas J. Belkin.

An anomalous state of knowledge is one in which the searcher recognises a gap in the state of knowledge. This, his or her further hypothesis, is influential in studying why people start to search.[29]

Models

McKenzie's two-dimensional model

McKenzie's model proposes that the information-seeking in everyday life of individuals occurs on a "continuum of information practices... from actively seeking out a known source... to being given un-asked for advice."[30] This model crosses the threshold in information-seeking studies from information behavior research to information practices research. Information practices research creates space for understanding encounters with information that may not be a result of the individual's behavior.[citation needed]

McKenzie's two-dimensional model includes four modes of information practices (active seeking, active scanning, non-directed monitoring, by proxy) over two phases of the information process (connecting and interacting).[30]

Mckenzie's two-dimensional model of information practices in every day life [30]
Phase -->

Mode (below)

Connecting Interacting
Active-seeking Actively seeking contact with an identified source in a specific information ground Asking a pre-planned question; active questioning strategies, e.g. list-making
Active-scanning Identifying a likely source; browsing in a likely information ground Identifying an opportunity to ask a question; actively observing or listening
Non-directed monitoring Serendipitous encounters in unexpected places Observing or overhearing in unexpected settings, chatting with acquaintances
By proxy Being identified as an information seeker; being referred to a source through a gatekeeper Being told

Information search process (ISP)

In library and information science, Information search process (ISP) is a model proposed by Carol Kuhlthau in 1991 that represents a tighter focus on information-seeking behavior. Kuhlthau's framework was based on research into high school students,[31] but extended over time to include a diverse range of people, including those in the workplace. It examined the role of emotions, specifically uncertainty, in the information-seeking process, concluding that many searches are abandoned due to an overwhelmingly high level of uncertainty.[32][33][34]

ISP is a 6-stage process, with each stage each encompassing 4 aspects:[35]

  1. Thoughts (cognitive): what is to be accomplished
  2. Feelings (affective): what the searcher was feeling
  3. Actions: what the searcher did
  4. Strategies: what the searcher was trying to achieve [32]
Stage Task Thoughts Feelings Actions Strategies
1 Task initiation Contemplating assignment, comprehending task, relating prior experience and knowledge, considering possible topics, recognizing the need for new information to complete an assignment Apprehension of work ahead, uncertainty Talking with others, brainstorming, browsing library Brainstorming, discussing, contemplating possibilities, tolerating uncertainty[36]
2 Topic selection Weighing topics against criteria such as personal interest, project requirements, information available, time available; predicting outcome of possible choices, choosing topic with potential for success Confusion, sometimes anxiety, brief elation (after selection), anticipation of task Consulting informal mediators, using reference collections, preliminary searches Discussing possible topics, predicting outcomes of choices, gaining general overview of topic. When information retrieval occurs at this point, multiple rounds of query reformulation may result.[37]
3 Pre-focus exploration Becoming informed about general topic, seeking focus in general information found, identifying possible foci, inability to express precise information needed. Information on the topic is gathered and new personal knowledge is created.[38] Confusion, doubt, sometimes threat, uncertainty may return if the information seeker finds inconsistent or incompatible information. Locating relevant information, reading to become informed, taking notes, making bibliographic citations, situate new information within previous understanding of the topic. Reading to learn about topic, tolerating inconsistency and incompatibility of information encountered, intentionally seeking possible focus, listing descriptors
4 Focus formation Predicting outcome of possible foci, using stage 2 task criteria, identifying ideas in information to form focus, sometimes characterised by a sudden moment of insight Optimism, confidence of ability to complete task[38] Reading notes for themes Making a survey of notes, listing possible foci, choosing a focus while rejecting others OR combining several themes to form one focus. Formulation is considered to be the most important stage of the process.[36] The information seeker will here formulate a personalized construction of the topic from the general information gathered in the exploration phase.
5 Information collection Seeking information to support focus, defining and extending focus through information, gathering pertinent information, organising information in notes Realisation of extensive work to be done. Presented with a clearly focused, personalized topic, the information seeker will experience greater interest and increased confidence.[39] Using library to collect pertinent information, requesting specific sources, taking detailed notes with bibliographic citations Using descriptors to search out pertinent information, making comprehensive search of various types of materials i.e. reference, periodicals, non-fiction and biography, using indexes, requesting assistance of librarian
6 Search closure Identify need for any additional information, considering time limit, diminishing relevance, increasing redundancy, exhausting resources Sense of relief, sometimes satisfaction, sometimes disappointment Re-checking information for information initially overlooked, confirming information and bibliographic citations Returning to library to make search summary, keeping books until completion of writing to re-check information.

[40]

Kuhlthau's work is constructivist and explores information-seeking beyond the user's cognitive experience into their emotional experience while seeking information. She finds that the process of information-searching begins with feelings of uncertainty, navigates through feelings of anxiety, confusion, or doubt, and ultimately completes their information-seeking with feelings of relief or satisfaction, or disappointment. The consideration of an information-seeker's affect has been replicated more recently in Keilty and Leazer's study which focuses on physical affect and esthetics instead of emotional affect.[41]

The usefuleness of the model has been re-evaluated in 2008.[42]

Information-seeking process

David Ellis investigated the behavior of researchers in the physical and social sciences,[43] and engineers and research scientists[44] through semi-structured interviews using a grounded theory approach, with a focus on describing the activities associated with information seeking rather than describing a process. Ellis' initial investigations produced six key activities within the information-seeking process:

  1. Starting (activities that form the information search)
  2. Chaining (following references)
  3. Browsing (semi-directed search)
  4. Differentiating (filtering and selecting sources based on judgement of quality and relevance)
  5. Monitoring (keeping track of developments in an area)
  6. Extracting (systematic extraction of material of interest from sources)

Later studies by Ellis (focusing on academic researchers in other disciplines) resulted in the addition of two more activities[citation needed]:

  1. Verifying (checking accuracy)
  2. Ending (a final search, checking all material covered)

Choo, Detlor and Turnbull elaborated on Ellis' model by applying it to information-searching on the web. Choo identified the key activities associated with Ellis in online searching episodes and connected them with four types of searching (undirected viewing, conditioned viewing, information search, and formal search).[45]

Information foraging

Main page: Information foraging

Developed by Stuart Card, Ed H. Chi and Peter Pirolli, this model is derived from anthropological theories and is comparable to foraging for food. Information seekers use clues (or information scents) such as links, summaries and images to estimate how close they are to target information. A scent must be obvious as users often browse aimlessly or look for specific information. Information foraging is descriptive of why people search in particular ways rather than how they search.[46]

Non-linear information behavior model

Foster and Urquhart provide a rich understanding of their model for nonlinear information behavior. This model takes into consideration varying contexts and personalities when researching information behavior. The authors of this article are themselves cautious of this new model since it still requires more development.[47]

Everyday life information seeking model

Reijo Savolainen published his ELIS model in 1995. It is based on three basic concepts: way of life, life domain and information search in everyday life (ELIS).[48]


Information behavior v. information practices debate

The future of information behavior research

References

  1. ↑ Fairer–Wessels, 1990, page 361.
  2. ↑ 2.0 2.1 2.2 2.3 Wilson, T.D. (1981). "On user studies and information needs". Journal of Documentation 37 (1): 3–15. doi:10.1108/eb026702. 
  3. ↑ JESSE, discussion list http://listserv.utk.edu/cgi-bin/wa?A2=ind9912&L=JESSE&D=0&P=3346
  4. ↑ "Google Scholar". https://scholar.google.ca/scholar?hl=en&as_sdt=0,5&as_vis=1&q=On+user+studies+and+information+needs+1981&btnG=. 
  5. ↑ 5.0 5.1 Wilson, T.D. (2000). "Human Information Behaviour". Informing Science 3 (2): 49–55. doi:10.28945/576. 
  6. ↑ Case, DO (2012). Looking for information: a survey of research on information seeking, needs and behavior. Emerald. ISBN 9781780526546. 
  7. ↑ Gonzalez-Teruel, A; González-Alcaide, G; Barrios, M; Abad-García, MF. (2015). "Mapping recent information behavior research: an analysis of co-authorship and co-citation networks". Scientometrics 103 (2): 687–705. doi:10.1007/s11192-015-1548-z. 
  8. ↑ Waller, Vivienne (9 December 2015). Qualitative social research : contemporary methods for the digital age. SAGE Publications. ISBN 978-1-4462-5883-5. OCLC 948834592. 
  9. ↑ Kalervo Jarvelin, T. D. Wilson. "On conceptual models for information seeking and retrieval research" (in en). http://informationr.net/ir/9-1/paper163.html. 
  10. ↑ Utkarsh, U (2015). "Information search behavior of service consumers: review and future research directions". The Marketing Review 15 (2): 201–2019. doi:10.1362/146934715X14373846573667. 
  11. ↑ Byström, Katriina; Hansen, Preben (2005). "Conceptual framework for tasks in information studies". Journal of the American Society for Information science and Technology (JASIST) (American Society for Information science and Technology) 56 (10): 1050–1061. 
  12. ↑ Murdock, Vanessa; Clarke, Charles LA; Kamps, Jaap; Karlgren, Jussi (2012). "Workshop on Search and Exploration of X-rated Information (SEXI)". ACM SIGIR Forum (New York: Association of Computing Machinery) 47 (1). 
  13. ↑ Ingwersen, Peter; Järvelin, Kalervo (2005). The Turn: Integration of information seeking and retrieval in context. Berlin: Springer. 
  14. ↑ 14.0 14.1 Chatman, Elfreda (1987). "The information world of low-skilled workers". Library and Information Science Research 9 (4): 265–83. https://eric.ed.gov/?id=EJ370789. 
  15. ↑ Rioux, Kevin (2010). "Metatheory in Library and Information Science: A Nascent Social Justice Approach". Journal of Education for Library and Information Science 51 (1): 9–17. ISSN 0748-5786. 
  16. ↑ Krikelas, James (1983). "Information-seeking behavior: Patterns and concepts.". Drexel Library Quarterly 19 (2): 5–20. 
  17. ↑ Fisher, Karen E.; Julien, Heidi (2009). "Information behavior" (in en). Annual Review of Information Science and Technology 43 (1): 1–73. doi:10.1002/aris.2009.1440430114. 
  18. ↑ 18.0 18.1 18.2 Bates, Marcia. 2005. "An introduction to theories, metatheories, and models" in Theories of Information Behavior. Karen E. Fisher, Sanda Erdelez and Lynne (E.F.) McKechnie, eds. Medford, NJ: Information Today. 1-24.
  19. ↑ Ford, Nigel (2004). "Modeling cognitive processes in information seeking: From Popper to Pask" (in en). Journal of the American Society for Information Science and Technology 55 (9): 769–782. doi:10.1002/asi.20021. ISSN 1532-2882. 
  20. ↑ 20.0 20.1 Prigoda, Elena; McKenzie, Pamela J. (2007-01-23). Spink, Amanda. ed. "Purls of wisdom: A collectivist study of human information behaviour in a public library knitting group" (in en). Journal of Documentation 63 (1): 90–114. doi:10.1108/00220410710723902. ISSN 0022-0418. 
  21. ↑ 21.0 21.1 Talja, Sanna; Tuominen, Kimmo; Savolainen, Reijo (2005). Hjørland, Birger. ed. ""Isms" in information science: constructivism, collectivism and constructionism" (in en). Journal of Documentation 61 (1): 79–101. doi:10.1108/00220410510578023. ISSN 0022-0418. 
  22. ↑ Gonzalez-Teruel, A; Pérez-Pulido, M (2020). "The diffusion and influence of theoretical models of information behaviour. The case of Savolainen's ELIS model". Journal of Documentation 76 (5): 1069–1089. doi:10.1108/JD-10-2019-0197. 
  23. ↑ Case, Donald O. (2007-09-28). "Information behavior". Annual Review of Information Science and Technology 40 (1): 293–327. doi:10.1002/aris.1440400114. ISSN 0066-4200. 
  24. ↑ Fisher, Karen and Heidi Julien, 2009. "Information Behavior." Annual Review of Information Science and Technology, vol. 43: 293-328). Medford, NJ: Information Today, Inc.
  25. ↑ BJ Jansen, D Booth, B Smith (2009) Using the taxonomy of cognitive learning to model online searching. Information Processing & Management. 45 (6), 643-663.
  26. ↑ 26.0 26.1 26.2 Chatman, Elfreda (1999). "A theory of life in the round". Journal of the American Society for Information Science 50 (3): 207–217. doi:10.1002/(sici)1097-4571(1999)50:3<207::aid-asi3>3.0.co;2-8. 
  27. ↑ White, Ryen W. and Drucker, Steven M. "Investigating behavioural variability in web search," 16th International World Wide Web Conference (WWW 2007)
  28. ↑ Klein, G.; Moon, B.; Hoffman, R.F. (2006). "Making sense of sensemaking I: alternative perspectives". IEEE Intelligent Systems 21 (4): 70–73. doi:10.1109/mis.2006.75. 
  29. ↑ Belkin, Nicholas J. "Anomalous states of knowledge as a basis for information retrieval". Canadian Journal of Information and Library Science 5: 133–143. 
  30. ↑ 30.0 30.1 30.2 McKenzie, Pamela J. (2003-01-01). "A model of information practices in accounts of everyday‐life information seeking". Journal of Documentation 59 (1): 19–40. doi:10.1108/00220410310457993. ISSN 0022-0418. 
  31. ↑ Bawden, David; Robinson, Lyn (2012). An introduction to information science. London: Facet. pp. 196–197. ISBN 978-1-85604-810-1. 
  32. ↑ 32.0 32.1 Kuhlthau, Carol. "Carol Kuhlthau". http://wp.comminfo.rutgers.edu/ckuhlthau/. 
  33. ↑ Kuhlthau's Model of the Stages of the Information Process, retrieved December 5, 2017.
  34. ↑ Archived from the original on August 27, 2021, retrieved February 15, 2022.
  35. ↑ Kuhlthau, Carol (2004). Seeking Meaning: a process approach to library and information services. London: Libraries Unlimited. ISBN 1-59158-094-3. 
  36. ↑ 36.0 36.1 Shannon, Donna. "Kuhlthau's Information Search Process." School Library Media Activities Monthly, Vol. 19, no. 2, October 2002: p. 19-23.
  37. ↑ Jansen, B. J., Booth, D. L., & Spink, A. (2009). Patterns of query modification during Web searching. Journal of the American Society for Information Science and Technology. 60(3), 557-570. 60(7), 1358-1371.
  38. ↑ 38.0 38.1 Isbell, Dennis and Lisa Kammerlocher. "Implementing Kuhlthau: A New Model for Library and Reference Instruction." Reference Services Review, Fall/Winter 1998: p. 33-44.
  39. ↑ Rubin, Richard E. (2000). Foundations of Library and Information Science. New York: Neal Schuman. ISBN 1-55570-402-6. https://archive.org/details/foundationsoflib00rubi_0. 
  40. ↑ "Kuhlthau's Model of the Stages of the Information Process". http://www2.southeastern.edu/Academics/Faculty/nadams/lsa618/infostagesKuhlthau.html. 
  41. ↑ Kuhlthau, Carol (1991). "Inside the Search Process: Information Seeking from the User's Perspective". Inside the Search Process: Information Seeking from the User's Perspective 42 (5): 361. 
  42. ↑ Carol C. Kuhlthau; Jannica Heinström; Ross J. Todd (2008-12-15). "The 'information search process' revisited: is the model still useful?". Information Research 13 (4). https://informationr.net/ir/13-4/paper355.html. Retrieved 2023-05-24. 
  43. ↑ Ellis, David; Cox, Deborah; Hall, Katherine (1993). "A Comparison of the Information Seeking Patterns of Researchers in the Physical and Social Sciences". Journal of Documentation 49 (4): 356–369. doi:10.1108/eb026919. 
  44. ↑ David, Ellis; Haugan, Merete (1997). "Modelling the information seeking patterns of engineers and research scientists in an industrial environment". Journal of Documentation 53 (4): 384–403. doi:10.1108/eum0000000007204. 
  45. ↑ Choo, Chun Wei; Detlor, Brian; Turnbull, Don (7 February 2000). "View of Information seeking on the Web: An integrated model of browsing and searching | First Monday". First Monday. doi:10.5210/fm.v5i2.729. https://firstmonday.org/ojs/index.php/fm/article/view/729/638. Retrieved 2020-03-01. 
  46. ↑ Chi, E.H; Pirolli, P; Chen, K; Pitkow, J.. "Using information scent to model user information needs and actions and the web". In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 2001: 490–497. 
  47. ↑ Foster, Allen; Urquhart, Christine (2012-10-12). "Modelling nonlinear information behaviour: transferability and progression" (in en). Journal of Documentation 68 (6): 784–805. doi:10.1108/00220411211277046. ISSN 0022-0418. http://pure.aber.ac.uk/ws/files/3334768/Modelling_Nonlinear_Information_Behaviour_Transferability_and_Progression_PREPRINT_FINAL_TEXT.pdf. 
  48. ↑ Savolainen, R (1995). "Everyday life information seeking: approaching information seeking in the context of 'way of life'". Library & Information Science Research 17 (3): 259–294. doi:10.1016/0740-8188(95)90048-9. 

Further reading



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