Thomas D. Wilson

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Dr. Thomas D. Wilson is a researcher in information science and has been contributing to the field since 1961, when he received his Fellowship from the British Library Association. His research has focused on information management and information seeking behaviour.

Contents

Biography

Thomas Daniel Wilson was born in 1935 at Shincliffe Station in County Durham, England. He left school at age 16 to work as a library assistant in Durham County Library. Following national service in the Royal Air Force he returned to Durham County Library and took the examinations of the Library Association to qualify as a professional librarian. He then moved to being head of a small academic library. He then worked as a corporate librarian for the Nuclear Research Centre of C. A. Parsons, at which time he became interested in the use of new technology in information science.

After completing his Fellowship of the Library Association he began his academic career in 1961. He subsequently obtained a BSc degree in economics and sociology, and a doctorate in organization theory. [1]

He is now Professor Emeritus at the Department of Information Studies, University of Sheffield, Visiting Professor at Leeds University Business School, Visiting Professor at the University of Boras, Sweden, and Professor Catedratico Convidado in the Faculty of Engineering, University of Oporto.

Research History

In the area of information behaviour (a term he invented to cover all activities associated with seeking, acquiring, using and sharing information) Dr. Wilson has focused largely in analyzing how individuals and groups gather and communicate information.

INISS Project

Dr. Wilson's best-known study on information seeking behaviour was the INISS project, [2] conducted from 1980 to 1985. The aim of the project was to increase the efficiency of Social Services workers in the management of information. In addition to the traditional methods of surveys and interviews with those seeking the information, Dr. Wilson and his team also observed social workers and their managers in their day-to-day tasks, to see what techniques were actually used to find, use and communicate information. He observed that, in the environment of a Social Services office, the majority of information (60%) was oral, with a further 10% being notes taken on oral communication. That, combined with lack of training in using the other information sources available, had led to a lack of organized information being used at Social Services offices. He recommended the establishment of a central library for Social Services information, along with training staff to access that information, as well as more communication within each office on information needs.

Uncertainty in Information Seeking

More recently, Dr. Wilson looked at information seeking behaviour for the British Library Research and Innovation Centre. The resulting paper, "Uncertainty in Information Seeking," [3] identified that information seeking is based on a series of uncertainty resolutions which lead to a problem solution. There are four steps in the process, problem identification, problem definition, problem resolution, and solution statement. At each step of the process, more information must be gathered in order to resolve the uncertainty of that step. Also, the research established that by providing information seekers with a pattern to follow (such as the four step uncertainty resolution pattern), the accuracy and volume of information they acquired was increased.

Activity theory

Recently, Dr. Wilson has been an advocate for the adoption of activity theory in the area of information behaviour [4] and in information systems research. [5]

Information management

Throughout his research career, Dr. Wilson has also been active in the field of information management and was the founder and first editor of the International Journal of Information Management. His research in this area included early studies on business use of the World Wide Web, [6] [7] [8] the relationship of information systems and business performance [9] and the application of mobile information systems in policing. [5]

Wilson's model of information behavior

Wilson's model of information seeking behaviour was born out of a need to focus the field of information and library science on human use of information, rather than the use of sources.

Previous studies undertaken in the field were primarily concerned with systems, specifically, how an individual uses a system. Very little had been written that examined an individual's information needs, or how information seeking behaviour related to other task-oriented behaviours.

Wilson's first model came from a presentation at the University of Maryland in 1971 when "an attempt was made to map the processes involved in what was known at the time as "user need research".

Wilson's first model

Published in 1981, Wilson's first model outlined the factors leading to information seeking, and the barriers inhibiting action. [10] It stated that information-seeking was prompted by an individual's physiological, cognitive, or affective needs, which have their roots in personal factors, role demands, or environmental context. [11]

In order to satisfy these needs, an individual makes demands upon various information systems such as the library and the use of technology. The user may also contact an intermediary such as family, friends and colleagues. The information provided by any of the contacted sources is then evaluated to determine if it satisfies the individual's needs. [12] This first model was based on an understanding of human information-seeking behaviors that are best understood as three interwoven frameworks: The user, the information system, and the information resource. [12]

First revision in 1994

Wilson later built upon his original model in order to understand the personal circumstance, social role, and environmental context in which an information need is created. [10] This new model, altered in 1994 incorporated Ellis' stages of information-seeking: starting, browsing, differentiating, monitoring, extracting, verifying and ending. [13]

The new model It also displayed the physiological, affective, and cognitive needs that give rise to information seeking behaviour. [10] The model recognized that an information need is not a need in and of itself, but rather one that stems from a previous psychological need. These needs are generated by the interplay of personal habits and political, economic, and technological factors in an individual's environmental. The factors that drive needs can also obstruct an individual's search for information.

Second revision in 1997

In 1997 Wilson proposed a third, general model that built upon the previous two. This model incorporated several new elements that helped to demonstrate the stages experienced by the 'person in context', or searcher, when looking for information. These included an intermediate stage between the acknowledgement of a need and the initiation of action, [14] a redefining of the barriers he proposed in his second model as "intervening variables" [15] to show that factors can be supportive or preventative [15] a feedback loop, and an "activating mechanism" stage. [14]

'Activating mechanisms' identify relevant impetus that prompt a decision to seek information, and integrate behavioural theories such as 'stress/coping theory', 'risk/reward theory' and 'social learning theory'.

Nested model

In 1999, Wilson developed a nested model that brought together different areas of research in the study of information behavior. [15] [16] The model represented research topics as a series of nested fields, with information behavior as the general area of investigation, information-seeking behavior as its sub-set, and information searching behavior as a further sub-set. [15]

An evolving model

Wilson's model has changed over time, and will continue to evolve as technology and the nature of information changes. [17] The model has been cited and discussed by leaders in the information science field, and can be integrated with other significant theories of information behaviour. [10] :35 Wilson describes the model diagrams as elaborating on one another, saying "no one model stands alone and in using the model to guide the development of research ideas, it is necessary to examine and reflect upon all of the diagrams". [10] :35

Recently, there has been a shift from theorizing on research already conducted on information behaviour, to pursuing "research within specific theoretical contexts". [17] Wilson's Model is "aimed at linking theories to action"; [10] :35 however, it is this move from theory to action that is proving slow. Through numerous qualitative studies, "we now have many in depth investigations into the information seeking behavior of small samples of people". [17] Despite these studies, there have not been many links made between this research and changes in policy or practice. [17]

InformationR.net

In addition to this work, Dr. Wilson also founded Information Research, an online journal for information science. This is a freely available, Open Access journal, which constitutes an excellent resource for IS students. The journal is part of the wider InformationR.net site, which also hosts the World list of schools and departments of information science, information management and related disciplines, which he has maintained since 1996.

Current activities

Dr. Wilson's research into information seeking behaviour has been used by instructors in teaching research methods. Though now retired, he continues to engage in research projects through his participation in the AIMTech Research Group at the University of Leeds Business School and through projects at the Swedish School of Library and Information Science. He is a member of the group at the Swedish School which is participating in the SHAMAN project on long-term digital preservation, [18] funded by the European Union. In 2012, together with colleagues at the University of Borås and Gothenburg University, he was awarded a grant of 11.8 million Swedish kronor ($1.7 million) by Vetenskapsrådet (Swedish Research Council) for a programme of research into the production, distribution and use of e-books in Sweden.

Awards

See also

Related Research Articles

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Social science is one of the branches of science, devoted to the study of societies and the relationships among individuals within those societies. The term was formerly used to refer to the field of sociology, the original "science of society", established in the 18th century. In addition to sociology, it now encompasses a wide array of academic disciplines, including anthropology, archaeology, economics, geography, linguistics, management, communication studies, psychology, culturology and political science.

Systems theory is the transdisciplinary study of systems, i.e. cohesive groups of interrelated, interdependent components that can be natural or artificial. Every system has causal boundaries, is influenced by its context, defined by its structure, function and role, and expressed through its relations with other systems. A system is "more than the sum of its parts" when it expresses synergy or emergent behavior.

<span class="mw-page-title-main">Information science</span> Academic field concerned with collection and analysis of information

Information science is an academic field which is primarily concerned with analysis, collection, classification, manipulation, storage, retrieval, movement, dissemination, and protection of information. Practitioners within and outside the field study the application and the usage of knowledge in organizations in addition to the interaction between people, organizations, and any existing information systems with the aim of creating, replacing, improving, or understanding the information systems.

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The uncertainty reduction theory, also known as initial interaction theory, developed in 1975 by Charles Berger and Richard Calabrese, is a communication theory from the post-positivist tradition. It is one of the few communication theories that specifically looks into the initial interaction between people prior to the actual communication process. Uncertainty reduction theory originators main goal when constructing it was to explain how communication is used to reduce uncertainty between strangers during a first interaction. Uncertainty reduction theory claims that everyone activates two processes in order to reduce uncertainty. The first being a proactive process, which focuses on what someone might do. The second being a retroactive process, which focuses on how people understand what another does or says. This theory's main claim is that people must receive information about another party in order to reduce their uncertainty and, that people want to do so. While uncertainty reduction theory claims that communication will lead to reduced uncertainty, it is important to note that this is not always the case. Dr. Dale E. Brashers of the University of Illinois argues that in some scenarios, more communication may lead to greater uncertainty.

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Information behavior is a field of information science research that seeks to understand the way people search for and use information 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 and sparked controversy upon its introduction. The term has now been adopted and Wilson's model of information behavior is widely cited in information behavior literature. In 2000, Wilson defined information behavior as "the totality of human behavior in relation to sources and channels of information".

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References

  1. Dr. Thomas D. Wilson - Curriculum Vitae
  2. INISS Project Papers
  3. “Uncertainty in Information Seeking”
  4. "A re-examination of information seeking behaviour in the context of activity theory". Informationr.net. Retrieved 28 November 2012.
  5. 1 2 "Information on the move: the use of mobile information systems by UK police forces". Informationr.net. Retrieved 28 November 2012.
  6. "Business use of the World-Wide Web". Informationr.net. Retrieved 28 November 2012.
  7. "Business use of the World Wide Web: a report on further investigations". Informationr.net. Retrieved 28 November 2012.
  8. "Publishing, bookselling and the World Wide Web". Informationr.net. 4 July 1999. Retrieved 28 November 2012.
  9. "Information and business performance: a study of information systems and services in high-performing companies". Informationr.net. Retrieved 28 November 2012.
  10. 1 2 3 4 5 6 Wilson, T. D. (2005). "Evolution in information behaviour modeling: Wilson's model". In K. Fisher; S. Erdelez; L. McKechnie (eds.). Theories of information behavior. Medford, New Jersey: Information Today. pp. 31–39.
  11. Wilson, T. D. (2000). "Human information behavior". Informing Science. 3 (2): 49–55. doi:10.28945/576.
  12. 1 2 Wilson, T. D. (January 1981). "On User Studies and Information Needs". Journal of Documentation . 37 (1): 3–15. doi:10.1108/eb026702. S2CID   14390097.
  13. Wilson, T. D. (1994). "Information needs and uses: fifty years of progress?". In B. C. Vickory (ed.). Fifty years of information progress: A Journal of Documentation review. London: Aslib. pp. 15–51.
  14. 1 2 Wilson, T. D. (1997). "Information behaviour: an interdisciplinary perspective". Information Processing and Management . 33 (4): 551–572. doi:10.1016/S0306-4573(97)00028-9.
  15. 1 2 3 4 Wilson, T. D. (1 August 1999). "Models in information behaviour research". Journal of Documentation. 55 (3): 249–270. doi:10.1108/EUM0000000007145. S2CID   35402964.
  16. Bawden, D. (2006). "Users, user studies and human information behaviour: a three decade perspective on Tom Wilson's "On user studies and information needs"". Journal of Documentation. 62 (6): 671–179. doi:10.1108/00220410610714903.
  17. 1 2 3 4 Wilson, T. D. (2010). "Fifty Years of Information Behaviour Research". Bulletin. 36 (3): 27–34.
  18. "SHAMAN - Sustaining Heritage Access through Multivalent ArchiviNg". Shaman-ip.eu. Retrieved 28 November 2012.
  19. "Award of Merit General". Association for Information Science and Technology.
  20. "Professor Tom Wilson". The University of Sheffield. Retrieved 25 July 2017.
  21. "Professor Tom Wilson". The University of Sheffield. Retrieved 25 July 2017.
  22. "SIG USE »» Awards". Asis.org. Retrieved 28 November 2012.

Further reading