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The study investigates the information-related challenges as well as the practices adopted by early-career researchers during transitions between roles and institutions. Its primary goal is to delve into how information behaviors serve as scaffolding during significant life shifts. Moreover, the research aims to provide actionable insights based on this scaffolding concept for individuals navigating transitions.

This preliminary and exploratory study took a phenomenological approach to examine the role of information seeking and personal information management (PIM) behaviors during life transitions. In-depth semi-structured interviews were held with 15 early-career researchers from various disciplines, who were about to finish their PhDs or had recently graduated.

By employing information seeking and PIM practices, participants were able to address three main information challenges that arose during the transition process: the timing of information behavior, the nature of information and the social components of the transition. The use of networked and independent information seeking/validation practices enabled to establish a sustainable network of transition-related information, reducing uncertainty. PIM practices helped planning the transition, maintaining information over the long-term and gaining control over personal information.

This study underscores the significance of information behaviors, encompassing both information seeking and PIM, as scaffolding mechanisms during crucial life transitions. It offers essential insights that can guide the creation of impactful interventions and resources. Additionally, the research illuminates the pressing demand for more in-depth exploration in this domain.

The purpose of this paper is to determine the information-seeking behaviors of police officers who work in police stations in the context of staying current. Leckie et al.’s (1996) model of the information-seeking behavior of professionals is tested.

A quantitative research design was employed for data collection. The sample includes 642 cases. It is both descriptive and exploratory.

Police officers first rely upon their personal knowledge and experience, then their colleagues and then official documents. On the other hand, they rarely consulted informants, libraries, journals, books, and attendance at conferences as information sources. There were significant differences in the information sources used by police officers based on their gender in the context of staying current. Lastly, the results of this study indicated that service years in policing and the roles in police station were significantly correlated with the information sources used by police officers regarding staying current.

This study, being the first, provides a huge theoretical base for future studies. It contributes to the discipline of information science by validating a theoretical model in a different context. In addition, it contributes to public safety by understanding the frontline police officers’ information needs and information-seeking behavior.

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.

Although the health information seeking behavior of consumers through the internet has received great attention, limited attempt has been made to integrate both the health information seeking behavior and the usage behavior in a mobile online context. The purpose of this paper is to explore the factors that influence consumer mobile health information seeking (MHIS) and usage behavior based on information quality, perceived value, personal health value, and trust.

A survey was conducted to collect data. A two-step approach of structure equation modeling based was used to test the measurement model and hypothesis model.

Information quality, perceived value, and trust were found to have positive effects on both the intention to seek and to use health information, and that the intention to seek affects the intention to use. Among the three components of perceived value, the utilitarian and epistemic values were found to have significant effects on intention to seek. In addition, the current health status of health consumers moderates the relationships between MHIS and usage intention and their determinants.

Studies have primarily focussed on online health information seeking behavior, whereas a few of these studies have examined the seeking behavior intention and the usage behavior intention in a general model. The results indicate that health information usage behavior intention is closely related to the seeking behavior intention in the mobile context, which enriches the research on the relationship between information seeking and its outcomes. Furthermore, this study highlights the impact of information quality, perceived value, and trust on the intention to seek, and the impacts of information quality and trust on the intention to use, which have been overlooked in previous studies on MHIS.

The purpose of this paper is to investigate the predictive factors of information seeking behavior of smartphone users from the cross-generational perspective. Based on existing literature, the two most popular types of information seeking behavior of smartphone users were determined: social information seeking behavior; and functional/cognitive information seeking behavior.

A questionnaire comprising 66 questions was administered online to 216 smartphone users of three age groups according to three generations: generation X, Y (millennials) and Z. Several predictive factors were examined for each of these information seeking behavior types: generation, gender, personality traits (the Big Five), daily usage time, period of ownership, various application utilization and the level of emotional gain from smartphones.

There is a trade-off between the two types of information seeking behavior. Also, men exhibited significantly more functional/cognitive information seeking behavior than women, and younger generations reported significantly higher emotional gain and social information seeking behavior than older generations. Interestingly, significant differences in smartphone apps’ utilization, information seeking behavior types and their predictive factors were found among users from different generations. Extraversion was positively related to social information seeking behavior only for generations X and Y, while WhatsApp usage was one of the strongest predictive factors only for generation Z.

This research has practical implications for information system design, education, e-commerce and libraries.

This is a first study that systematically examines predictive factors of the two prominent types of information seeking behavior on smartphones from the cross-generational perspective.

This paper presents an outline of models of information seeking and other aspects of information behaviour, showing the relationship between communication and information behaviour in general with information seeking and information searching in information retrieval systems. It is suggested that these models address issues at various levels of information behaviour and that they can be related by envisaging a ‘nesting’ of models. It is also suggested that, within both information seeking research and information searching research, alternative models address similar issues in related ways and that the models are complementary rather than conflicting. Finally, an alternative, problem‐solving model is presented, which, it is suggested, provides a basis for relating the models in appropriate research strategies.