Breakdowns in collaborative information seeking: A study of the medication process

Empirical studies of collaborative information seeking: a review of methodological issues

Purpose

Information seeking is often performed in collaborative contexts. The research into such collaborative information seeking (CIS) has been proceeding since the 1990s but lacks methodological discussions. The purpose of this paper is to analyze and discuss methodological issues in existing CIS studies.

Design/methodology/approach

The authors systematically review 69 empirical CIS studies.

Findings

The review shows that the most common methods of data collection are lab experiments (43 percent), observation (19 percent) and surveys (16 percent), that the most common methods of data analysis are description (33 percent), statistical testing (29 percent) and content analysis (19 percent) and that CIS studies involve a fairly even mix of novice, intermediate and specialist participants. However, the authors also find that CIS research is dominated by exploratory studies, leaves it largely unexplored in what ways the findings of a study may be specific to the particular study setting, appears to assign primacy to precision at the expense of generalizability, struggles with investigating how CIS activities extend over time and provides data about behavior to a larger extent than about reasons, experiences and especially outcomes.

Research limitations/implications

The major implication of this review is its identification of the need for a shared model to which individual CIS studies can contribute in a cumulative manner. To support the development of such a model, the authors discuss a model of the core CIS process and a model of the factors that trigger CIS.

Originality/value

This study assesses the current state of CIS research, provides guidance for future CIS studies and aims to inspire further methodological discussion.

Impact of Task Types on Collaborative Information Seeking Behavior

This study examined the task type as an important factor in collaborative information seeking activities, devoting special attention to its impacts on collaborative information seeking behavior, awareness and sentiment. Collaborative information search experiments were conducted on a collaborative search system—Coagmento—for three different types of task (informational, transactional and navigational). System log, surveys and semi-structured interviews were used to collect data, with quantitative and qualitative analyses carried out on the data which related to 12 participants in four groups. Quantitative analysis employed SPSS 20, while qualitative analysis was carried out using ATLAS.ti. Through our research, we found that the task types have impact on users’ collaborative information seeking behavior in terms of web page browsing, search and image using, as well as interact with task awareness. A collaborative team approach is more suitable for completing the informational task than transactional and navigational tasks, while the task type also influences the sentiment. Concretely speaking, the transactional task causes more negative emotions.

The Impacts of Mutual Collaboration Experience and Domain Knowledge Levels on CAIS Behavior: An Experimental Study

Some studies have investigated participants’ information-seeking practices from the perspective of mutual collaboration experience and level of domain knowledge. This study provides insights into collaborative academic information-seeking (CAIS) behaviour. The article explores whether groups with different levels of domain knowledge and mutual collaboration experiences had different CAIS behaviour. It also asked whether domain knowledge level or mutual collaboration experience had an impact on CAIS behaviour. We describe a user study with 18 participants in nine pairs with an experimental collaborative information-seeking tool, the participants categorized into three types of groups: high domain knowledge level and few mutual collaboration experiences (Group 1), low domain knowledge level and many mutual collaboration experiences (Group 2), and no domain knowledge level and no mutual collaboration experience (Group 3). Quantitative and qualitative data analysis were used to analyse the user data collected. The results showed that compared with members of Group 3, participants in Groups 1 and 2 had a better understanding of search tasks and were aware of the ways of completing the tasks successfully. They did not depend on the information-retrieval system when constructing search queries, and adopted diverse cooperation strategies. They were more likely to recommend information to their partners. Domain knowledge had greater impact on CAIS behaviour than collaboration experience. The findings help us to understand social interactions among community members and help CAIS researchers to understand user interactions and inform information system designers as they design collaborative systems to facilitate social communication in the information-seeking process. Our work was limited by the group types we chose and the small group size, which could affect the generalizability of our findings and should be addressed in future studies.

A structural equation modeling of the factors affecting student nurses' medication errors

Across medication error literature, much attention has been given to incidence, types, causes and prevention of medication errors. Despite these efforts, medication errors continue to occur among registered and student nurses. Considering the numerous studies on medication errors committed by registered nurses, little is known on the nature of student nurses' medication error. This study employed factor analysis and structural equation modeling to explore the factors affecting medication errors by student nurses. With the participation of 329 junior and senior student nurses recruited from a comprehensive university in the Philippines, five factor dimensions of the causes of student nurses' medication error were identified, namely: In-violation, In-writing, In-excess, In-experience and In-tension. Results of path analysis showed an interaction among these variables. Additionally, poor adherence to the "five rights" was identified as an important mediator between In-violation, In-writing, In-excess, In-experience and In-tension and student nurses' medication error. By developing a model to explain how student nurses' medication errors occur, this study sheds light on the nature of student nurses' medication error and provides a basis for error prevention strategies.