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The purpose of this paper is to elaborate the picture of the nature of integrated models for information behaviour from the perspective of conceptual growth in this field of study.

Conceptual analysis focusing on the ways in which the researchers have developed integrated models. The study concentrates on seven key models proposed by Bates, Choo and associates, Godbold, Robson and Robinson, and Wilson.

Researchers have employed four main approaches to develop integrated models. First, such frameworks are based on the juxtaposition of individual models. Second, integrated models are built by cross-tabulating the components of diverse models. Third, such models are constructed by relating similar components of individual models. Finally, integrated models are built by incorporating components taken from diverse frameworks. The integrated models have contributed to conceptual growth in three major ways: first, by integrating formerly separate parts of knowledge; second, by generalizing and explaining lower abstraction-level knowledge through higher level constructs; and third, by expanding knowledge by identifying new characteristics of the object of study.

The findings are based on the comparison of seven models only. The integrated frameworks of information retrieval were excluded from the study.

The study pioneers by providing an in-depth analysis the nature of integrated models for information behaviour. The findings contribute to the identification of the key factors of information behaviour.

Generating an in-depth understanding of information needs and seeking behaviour is important both for restructuring existing agricultural information systems (ISs) and for creating new ISs. Many information seeking models have been developed over the years, most are narrowly focused on a specific role or discipline. However, no such specific model has been developed in reference to agriculture or an allied discipline. Thus, the purpose of this paper is to develop a model to explore the information seeking behaviour (ISB) of farmers.

The model proposed in this paper is based on Wilson’s model. The theoretical insights and empirical evidences comprehended at the study were embedded into Wilson’s model to develop a model that explores the ISB of farmers. The proposed model was quantitatively evaluated using empirical data gathered through a survey of 289 farmers. Furthermore, the model was qualitatively evaluated by subject experts against criteria of simplicity, comprehensiveness, exactness, generality and clarity.

The key finding of this study is the model developed to explore the ISB of farmers. The adapted model provides theoretical and empirical bases for exploring farmers’ ISBs. Thus, the model will be useful in developing valuable design insights to apply to user-centred agricultural ISs.

The originality of this study relates to its demonstration of how existing models can be reconsidered and adapted based on related literature and then tested and presented as adapted models. The proposed model will be useful to promote informational studies in agriculture.

The purpose of this study is to determine the extent to which two existing models of information behaviour could explain the information behaviour of visually impaired people seeking health and social care information.

The research was conducted within a constructivist paradigm. A total of 28 semi‐structured interviews (face‐to‐face or telephone) with 31 visually impaired people were conducted. Framework analysis was used to analyse the results.

This study identified several factors that may affect a visually impaired person's information behaviour. These related to the presence of other health conditions or disabilities, participants' understanding of the word “information”, their interactions with information providers, their degree of independence, the support they received from friends and family, their acceptance of their own visual impairment, as well as their awareness of other visual impairments, their registration status and their willingness and ability to pay for aids, adaptations and equipment.

This study provides a new and valuable insight into the information behaviour of visually impaired people, as well as testing the applicability of a specific and generic information model to the information behaviour of visually impaired people seeking health and social care information.

This paper aims to present results of a study which examined students’ collaborative information behavior (CIB) in comparison with behavioral patterns illustrated in Wilson’s (1996) model of information behavior.

A total of six groups of undergraduate students; four from Sokoine University of Agriculture (SUA) and two from Ardhi University (ARU) were purposively selected. Data were collected using semi participant observation, critical incident interviews and focus group discussion methods.

Results indicate that students’ CIB is mainly shaped by collaborative learning environment, learning tasks objectives and requirements. Despite its wider applicability in different domains and contexts, Wilson’s (1996) model is partially appropriate in modeling students’ group-based learning information behavioral activities. Person(s) in context and active and passive information seeking are aspects of the model which are observed to be relevant in students’ CIB.

The study has implications on teaching and learning practices in higher learning institutions.

The study provides new insights on how students exhibit different information behavioral patterns during collaborative learning. The study fills a gap on how solitary models of information behavior can be used to model students’ information behavior in team-based learning.

The purpose of this paper is to review Wilson's (1981) seminal article, “On user studies and information needs” (Journal of Documentation, 1981, Vol. 37 No. 1, pp. 3‐15) as part of a series celebrating the Journal's 60th anniversary.

This paper adopts a literature‐based conceptual analysis, taking Wilson's paper as the starting point, and evaluating the significance of, and later developments in, the issues dealt with in that article.

Wilson's article has had a significant effect on the development of information science. It dealt with several fundamental issues, including the nature of information itself and of information need, models of information seeking and information behaviour, particularly those based on phenomenological or “whole life” concepts, appropriate research methods for these areas, and the nature of information science as an academic discipline.

The paper provides a perspective on the development of information science over 30 years, with particular emphasis on the study of human information behaviour.

This study aims to recognize the challenge of identifying deceptive information and provides a framework for thinking about how we as humans negotiate the current media environment filled with misinformation and disinformation.

This study reviews the influence of Wilson’s (2016) General Theory of Information Behavior (IB) in the field of information science (IS) before introducing Levine’s Truth-Default Theory (TDT) as a method of deception detection. By aligning Levine’s findings with published scholarship on IB, this study illustrates the fundamental similarities between TDT and existing research in IS.

This study introduces a modification of Wilson’s work which incorporates truth-default, translating terms to apply this theory to the broader area of IB rather than Levine’s original face-to-face deception detection.

False information, particularly online, continues to be an increasing problem for both individuals and society, yet existing IB models cannot not account for the necessary step of determining the truth or falsehood of consumed information. It is critical to integrate this crucial decision point in this study’s IB models (e.g. Wilson’s model) to acknowledge the human tendency to default to truth and thus providing a basis for studying the twin phenomena of misinformation and disinformation from an IS perspective. Moreover, this updated model for IB contributes the Truth Default Framework for studying how people approach the daunting task of determining truth, reliability and validity in the immense number of news items, social media posts and other sources of information they encounter daily. By understanding and recognizing our human default to truth/trust, we can start to understand more about our vulnerability to misinformation and disinformation and be more prepared to guard against it.

The purpose of this paper is to elaborate the picture of the motivators for information behaviour by examining the nature of information need as a trigger and driver of information seeking.

A conceptual analysis was made by focussing on the ways in which researchers have conceptualised information need in models for human information behaviour (HIB). The study draws on conceptual analysis of 26 key studies focussing on the above topic.

Researchers have employed two main approaches to conceptualise information needs in the HIB models. First, information need is approached as a root factor which motivates people to identify and access information sources. Second, information need is approached as a secondary trigger or driver determined by more fundamental factors, for example, the information requirements of task performance. The former approach conceptualises information need as a trigger providing an initial impetus to information seeking, while the latter approach also depicts information need as a driver that keeps the information-seeking process in motion. The latter approach is particularly characteristic of models depicting information seeking as a cyclic process.

As the study focusses on information need, no attention is devoted to related constructs such as anomalous state of knowledge and uncertainty.

The study pioneers by providing an in-depth analysis of the nature of information need as a trigger and driver of information seeking. The findings refine the picture of motivators for information behaviour.

This paper seeks to report the results of research conducted to model the information‐seeking behaviour of graduate students at Kuwait University and the factors influencing that behaviour.

The research employed a number of different approaches: a questionnaire survey to 800 graduate students studying at Kuwait University; a questionnaire survey to 180 academics at the university; semi‐structured interviews with eight academics; face‐to‐face and online interviews with 11 university library staff, four focus groups with 24 students and three focus groups with ten faculty staff.

Significant factors influencing students' information‐seeking behaviour were found to be related to library awareness, information literacy, organisational and environmental issues, source characteristics, and demographics (specifically gender and nationality).

The research focused on graduate students at a Kuwait University which is affiliated to the government sector, however, the information seeking model is more widely applicable, particularly to other developing countries.

Proposed is an information‐seeking model that extended two other relevant and influential models of information‐seeking behaviour. The extended model shows promise for its intended utility in identifying factors that influence the information behaviour of graduate students.

Many research‐based models of information seeking behaviour are limited in their ability to describe everyday life information seeking. Such models tend to focus on active information seeking, to the neglect of less‐directed practices. Models are often based on studies of scholars or professionals, and many have been developed using a cognitive approach to model building. This article reports on the development of a research‐based model of everyday life information seeking and proposes that a focus on the social concept of information practices is more appropriate to everyday life information seeking than the psychological concept of information behaviour The model is derived from a constructionist discourse analysis of individuals’ accounts of everyday life information seeking.