Search results

One core element of interactive information retrieval (IIR) experiments is the assignment of search tasks. The purpose of this paper is to provide an analytical review of current practice in developing those search tasks to test, observe or control task complexity and difficulty.

Over 100 prior studies of IIR were examined in terms of how each defined task complexity and/or difficulty (or related concepts) and subsequently interpreted those concepts in the development of the assigned search tasks.

Search task complexity is found to include three dimensions: multiplicity of subtasks or steps, multiplicity of facets, and indeterminability. Search task difficulty is based on an interaction between the search task and the attributes of the searcher or the attributes of the search situation. The paper highlights the anomalies in our use of these two concepts, concluding with suggestions for future methodological research related to search task complexity and difficulty.

By analyzing and synthesizing current practices, this paper provides guidance for future experiments in IIR that involve these two constructs.

The purpose of this paper is to report on the ninth annual meeting of Libraries in the Digital Age and its program.

Conference report.

Longitudinal studies are now indicating trends in how readers and users are relying upon a digital library (DL) compared to traditional print and hybrid collections. Interestingly, values remain unchanged as expectations grow.

Now that there is critical mass of digitized content libraries are creating ways to develop and customize services in this DL environment.

The purpose of this paper is to introduce the concept of social relevance assessments, which are judgments made by individuals when they seek out information within virtual social worlds such as online support groups (OSGs).

Constructivist grounded theory was employed to examine the phenomenon of information exchange in OSGs for chronic kidney disease. In-depth interviews were conducted with 12 participants, and their posts in three OSGs were also harvested. Data were analyzed using inductive content analysis and the constant comparative method. Theoretical sampling was conducted until saturation was reached. Member checking, peer debriefing, and triangulation were used to verify results.

There are two levels of relevance assessment that occur when people seek out information in OSGs. First, participants evaluate the OSG to determine whether or not the group is an appropriate place for information exchange about kidney disease. Second, participants evaluate individual users on the OSG to see if they are appropriate people with whom to exchange information. This often takes the form of similarity assessment, whereby people try to determine whether or not they are similar to specific individuals on the forums. They use a variety of heuristics to assess similarity as part of this process.

This paper extends the author’s understanding of relevance in information science in two fundamental ways. Within the context of social information exchange, relevance is socially constructed and is based on social characteristics, such as age, shared beliefs, and experience. Moreover, relevance is assessed both when participants seek out information and when they disclose information, suggesting that the conception of relevance as a process that occurs primarily during information seeking is limited.

Profiles, in the first of a series, more recently established Open Archives Initiative (OAI) data providers whose content is not only “harvestable” by OAI service providers, and which offer open access to institutional and discipline information resources in a wide variety of publication and media formats. Looks at the Digital Library of the Commons; E‐LIS: E‐prints in Library and Information Science; INFOMINE; and the Open Video Project.

This paper aims to conceptualize the digital behavior of startups and investigate the emerging behaviors about digital strategies of the Italian startup firms enrolled in the Startup Act policy initiative. Digital technologies were divided into intra- and inter-organizational digital infrastructures, and this categorization offers startups the opportunity to identify a set of enabling technologies that could be used to improve their digital strategies.

An empirical analysis has been conducted to investigate the degree of adoption of digital intra- and inter-organizational digital infrastructures in the entire population of 6,178 Italian firms listed in the Register of Innovative Startups.

The paper proposes a taxonomy bringing together four startup behaviors for adopting digital technologies: digital follower, technical influencer, social influencer and digital leader. From the perspective of policy makers, considering the financial efforts that public authorities are supporting in the last decade, implications are mainly concerned with policy measures aimed both to reinforce the overall adoption of digital technologies and to develop a balanced adoption of intra- and inter-organizational digital infrastructures.

Measures addressed to support female and foreign entrepreneurship could be useful to support a more dynamic and well-balanced cultural and racial contamination, thus improving the adoption of digital tools.

This paper aims to discuss how search, sense making and learning have become more closely integrated, as search services have leveraged new technologies and large and media-diverse data streams.

The paper reviews progress in search over the past 60 years, summarizes different theories of sense making and learning and proposes a framework for integrating these activities.

The arguments are supported with examples from search in 2018 and suggest that even as search becomes an automated process during learning, search strategies must continue to evolve to insure that complex information needs can be met.

The work is limited to search that uses electronic search systems. Implications include the need to understand that multiple levels of system inferences/estimates are used to present search results and that different kinds of learning processes are affected by search systems.

The importance of information literacy is implied.

This paper will provide readers with an understanding of how search services and systems have evolved and their implications for human learning.

The chapter discusses abductive thematic analysis as an innovative qualitative methodology in hospitality and tourism research. The novelty of the abductive approach is to combine the power of both deductive and inductive reasoning: it is possible to initiate the research starting from an existing theoretical, without renouncing to a creative phase where the researcher interprets the phenomenon beyond the words utilized and theorizes dependencies between concepts. The chapter further presents a case study to illustrate how abductive thematic analysis can be applied to study small hospitality and tourism businesses. The chapter further highlights the benefits of adapting thematic analysis to abductive reasoning, which is a paradigmatic position thus adding rigor to hospitality and tourism. The chapter finally highlights future avenues for development of methodology research toward adding further rigor to this novel methodology.