Purpose - By selectively reviewing theory-driven survey studies on internet health information seeking, the paper aims to provide an informal assessment of the theoretical foundations and research ...methods that have been used to study this information behavior.Design methodology approach - After a review of the literature, four theory-driven quantitative survey studies are analyzed in detail. Each study is examined in terms of: theoretical framework; research variables that form the focus of the study; research design (sampling, data collection and analysis); and findings and results of hypothesis testing and model testing. The authors then discuss the theoretical models and analytical methods adopted, and identify suggestions that could be helpful to future researchers.Findings - Taken as a whole, the studies reviewed point strongly to the need for multidisciplinary frameworks that can capture the complexity of online health information behavior. The studies developed theoretical frameworks by drawing from many sources - theory of planned behavior, technology acceptance model, uses and gratifications, health belief model, and information seeking models - demonstrating that an integration of theoretical perspectives from the health sciences, social psychology, communication research, and information science, is required to fully understand this behavior. The results of these studies suggest that the conceptual models and analytical methods they adopted are viable and promising. Many relationships tested showed large effect sizes, and the models evaluated were able to account for between 23 and 50 percent of the variance in the dependent variables.Originality value - The paper represents a first attempt to compare, evaluate, and to a degree synthesize the work that has been done to develop and test theoretical models of health information seeking on the web.
Scientific research in the 21st century is more data intensive and collaborative than in the past. It is important to study the data practices of researchers--data accessibility, discovery, re-use, ...preservation and, particularly, data sharing. Data sharing is a valuable part of the scientific method allowing for verification of results and extending research from prior results.
A total of 1329 scientists participated in this survey exploring current data sharing practices and perceptions of the barriers and enablers of data sharing. Scientists do not make their data electronically available to others for various reasons, including insufficient time and lack of funding. Most respondents are satisfied with their current processes for the initial and short-term parts of the data or research lifecycle (collecting their research data; searching for, describing or cataloging, analyzing, and short-term storage of their data) but are not satisfied with long-term data preservation. Many organizations do not provide support to their researchers for data management both in the short- and long-term. If certain conditions are met (such as formal citation and sharing reprints) respondents agree they are willing to share their data. There are also significant differences and approaches in data management practices based on primary funding agency, subject discipline, age, work focus, and world region.
Barriers to effective data sharing and preservation are deeply rooted in the practices and culture of the research process as well as the researchers themselves. New mandates for data management plans from NSF and other federal agencies and world-wide attention to the need to share and preserve data could lead to changes. Large scale programs, such as the NSF-sponsored DataNET (including projects like DataONE) will both bring attention and resources to the issue and make it easier for scientists to apply sound data management principles.
PurposeThe purpose of this paper is to investigate the status quo of digital poverty among adolescents in China, analyze the characteristics and the causes, then propose countermeasures to provide ...reference for alleviating digital poverty among adolescents.Design/methodology/approachThe study developed an initial scale of digital poverty among adolescents and used survey data to revise the scale, on this basis, formed a questionnaire, which was distributed to nationwide adolescents. The study developed its findings from the 837 valid questionnaire respondents.FindingsThe digital poverty among adolescents is mainly shown in the poverty of digital ability, digital psychology and digital environment and presents the following characteristics, that is, insufficient information seeking ability and information selection ability needing to be improved; equipped with basic information awareness but lack of information evaluation ability; lack of patience in obtaining information and inclined to the principle of least effort; imperfect knowledge structure and immature psychological emotions and vulnerable to external interference; having a certain relationship with the information environment, but not significantly affected by regional economic differences. Finally, the study puts forward countermeasures to alleviate digital poverty among adolescents.Practical implicationsUnderstanding of the digital poverty among adolescents will likely demand rethinking into a number of issues ignored by information poverty studies.Originality/valueFew studies focus on digital poverty among adolescents. This study developed an initial scale of digital poverty among adolescents and revised it by survey data, then conducted an empirical study through questionnaire, which could expand the understanding of information poverty in the field of library and information science.
In recent years, a web phenomenon known as Volunteered Geographic Information (VGI) has produced large crowdsourced geographic data sets. OpenStreetMap (OSM), the leading VGI project, aims at ...building an open-content world map through user contributions. OSM semantics consists of a set of properties (called ‘tags’) describing geographic classes, whose usage is defined by project contributors on a dedicated Wiki website. Because of its simple and open semantic structure, the OSM approach often results in noisy and ambiguous data, limiting its usability for analysis in information retrieval, recommender systems and data mining. Devising a mechanism for computing the semantic similarity of the OSM geographic classes can help alleviate this semantic gap. The contribution of this paper is twofold. It consists of (1) the development of the OSM Semantic Network by means of a web crawler tailored to the OSM Wiki website; this semantic network can be used to compute semantic similarity through co-citation measures, providing a novel semantic tool for OSM and GIS communities; (2) a study of the cognitive plausibility (i.e. the ability to replicate human judgement) of co-citation algorithms when applied to the computation of semantic similarity of geographic concepts. Empirical evidence supports the usage of co-citation algorithms—SimRank showing the highest plausibility—to compute concept similarity in a crowdsourced semantic network.
•This paper presents an assessment of the key challenges of COVID-19 through an IS and IM lens.•The pandemic has forced governments and decision makers to reassess the use of IS and technology.•AI ...could engender better, more informed decision making during crisis management scenarios.•Privacy and security are key underlying concerns for many citizens during the pandemic.•In developing countries, the digital divide is most apparent due to social and cultural barriers.
The COVID-19 pandemic has forced many organisations to undergo significant transformation, rethinking key elements of their business processes and use of technology to maintain operations whilst adhering to a changing landscape of guidelines and new procedures. This study offers a collective insight to many of the key issues and underlying complexities affecting organisations and society from COVID-19, through an information systems and technological perspective. The views of 12 invited subject experts are collated and analysed where each articulate their individual perspectives relating to: online learning, digital strategy, artificial intelligence, information management, social interaction, cyber security, big data, blockchain, privacy, mobile technology and strategy through the lens of the current crisis and impact on these specific areas. The expert perspectives offer timely insight to the range of topics, identifying key issues and recommendations for theory and practice.
In the context of a "beauty-contest" coordination game (in which pay-offs depend on the quadratic distance of actions from an unobserved state variable and from the average action), players choose ...how much costly attention to pay to various informative signals. Each signal has an underlying accuracy (how precisely it identifies the state) and a clarity (how easy it is to understand). The unique linear equilibrium has interesting properties: the signals which receive attention are the clearest available, even if they have poor underlying accuracy; the number of signals observed falls as the complementarity of players' actions rises; and, if actions are more complementary, the information endogenously acquired in equilibrium is more public in nature. The consequences of "rational-inattention" constraints on information transmission and processing are also studied.
The aim of this research essay is to examine the structural nature of theory in Information Systems. Despite the importance of theory, questions relating to its form and structure are neglected in ...comparison with questions relating to epistemology. The essay addresses issues of causality, explanation, prediction, and generalization that underlie an understanding of theory. A taxonomy is proposed that classifies information systems theories with respect to the manner in which four central goals are addressed: analysis, explanation, prediction, and prescription. Five interrelated types of theory are distinguished: (1) theory for analyzing, (2) theory for explaining, (3) theory for predicting, (4) theory for explaining and predicting, and (5) theory for design and action. Examples illustrate the nature of each theory type. The applicability of the taxonomy is demonstrated by classifying a sample of journal articles. The paper contributes by showing that multiple views of theory exist and by exposing the assumptions underlying different viewpoints. In addition, it is suggested that the type of theory under development can influence the choice of an epistemological approach. Support is given for the legitimacy and value of each theory type. The building of integrated bodies of theory that encompass all theory types is advocated.
•We review the prevailing discourse around the concept of uncertainty.•We describe a communication-based theory of uncertainty management.•We explore how this theory can inform the design of ...information-retrieval systems.
Uncertainty is an important idea in information-retrieval (IR) research, but the concept has yet to be fully elaborated and explored. Common assumptions about uncertainty are (a) that it is a negative (anxiety-producing) state and (b) that it will be reduced through information search and retrieval. Research in the domain of uncertainty in illness, however, has demonstrated that uncertainty is a complex phenomenon that shares a complicated relationship with information. Past research on people living with HIV and individuals who have tested positive for genetic risk for different illnesses has revealed that information and the reduction of uncertainty can, in fact, produce anxiety, and that maintaining uncertainty can be associated with optimism and hope. We review the theory of communication and uncertainty management and offer nine principles based on that theoretical work that can be used to influence IR system design. The principles reflect a view of uncertainty as a multi-faceted and dynamic experience, one subject to ongoing appraisal and management efforts that include interaction with and use of information in a variety of forms.
PurposeThe principal aim of the present study was to identify and model the subject structure of the research area on collaborative information behaviour (CIB).Design/methodology/approachA ...qualitative, inductive and exploratory approach was adopted, and the method of thematic analysis was used. This study was based on the analysis of 79 publications selected from the Library, Information Science and Technology Abstracts (LISTA) database in April 2019.FindingsCollaborative and collective information behaviours were differentiated, and the subject structure of the CIB research area was identified to contain collaborative activities oriented to both information access and content, their various conditions, means of conducting, experiences of selected communities and metascientific research on the area itself.Research limitations/implicationsThe limitations result primarily from relying on the research material selected from the database (LISTA) focussed mainly on the issues of library and information science.Originality/valueThis study contributes by proposing an original model of the CIB research area representing its subject structure and providing a coherent list of subjects of interest to CIB researchers. Hopefully, it will also contribute to the harmonisation of terminology related to this research area and thus facilitate communication between CIB researchers and accelerate the cumulative development of scientific knowledge on CIB.
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