Information Seeking Behaviours of Business Students and the Development of Academic Digital Libraries
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objectives - The objective of this project was to gain insight into the extent to which user information seeking behaviours should inform the design and development of digital libraries in an academic setting. Researchers conducted this study at Dalhousie University in Halifax, Nova Scotia, Canada to explore the information seeking behaviours of business students. Methods - The students participating in the study were enrolled in the School of Business Administration at Dalhousie University. The study was based on qualitative and quantitative data collected through a survey, in-depth semi-structured interviews, an observational study, and document analysis. Qualitative case study data was coded using QSR N6 qualitative data analysis software (. The data was categorized using Atkinson’s Model of Business Information Users’ Expectations and Renda and Straccia‘s personalized collaborative digital library (DL) model. Atkinson’s model defines the expectations of business students in terms of cost, time, effort required, pleasure, and the avoidance of pain. Renda and Straccia’s model of a personalized and collaborative digital library centres around three concepts: actors, objects, and functionality. The survey data was analysed using Zoomerang software . Results - The study results revealed that students tend to select resources based on cost (free or for fee), accessibility, ease of use, speed of delivery (of results), and convenience. The results showed that similar to Atkinson’s findings, business students’ information seeking behaviour is influenced by the concepts of cost-benefit and break-even analyses that underlie business education. Concerning speed of delivery and convenience, the organization of the resources was paramount. Students preferred user-defined resource lists, alert services, and expert-created business resource collections. When asked about the usefulness of potential digital library functionalities, students valued a personalized user interface and communal virtual spaces in order to share information and communicate in real-time with their peers. Conclusion - This study reveals that when digital libraries are developed, user behaviours and needs should be taken into consideration. Results demonstrate that the activity as well as the “user’s orientation and motivation” (here the business student training) can directly influence the design and use of a digital tool. In other words, this study confirms a new typology of a business digital information user, one that requires the building of dedicated accredited library research systems. Providing information and information tools tailored to this specific audience is more likely to increase the appeal and use of an academic business digital library.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.253 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it