Core Resources on Time Series Analysis for Academic Libraries: A Selected, Annotated Bibliography

Jeong, Sarah H.; Kim, Seong-Tae

doi:10.5703/1288284314839

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…4. See Jeong and Kim (2010) for a complete review of library science studies that use time series methods.…”

Section: Similar Tomentioning

confidence: 99%

Shall we chat? A statistical case study of chat reference utilization

Luo¹

2017

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Purpose This paper aims to evaluate the performance of a chat reference service implemented at an academic library in a private liberal arts college by gauging its impact on other forms of reference service in terms of usage volume, with a focus on research-related face-to-face reference questions. Design/methodology/approach Two statistical methods are used, namely, the difference-in-differences method and a simple moving average time series analysis, to analyze both the short-term and long-term impact brought by chat reference. Findings This study finds that the usage volume of the traditional face-to-face reference is significantly affected by chat reference in its first service year. The long-term analysis suggests that chat reference volume displays a significant declining trend (−2.06 per cent academic month) since its implementation. Yet, its usage volume relative to other reference services remains stable over time. Originality/value The findings in this case study will be of value to libraries with similar scale and institutional features that are also interested in assessing their chat reference service. In addition, this paper is the first to apply the difference-in-differences approach in the field of library science, and the two statistical methods adopted in this case study can be readily adapted and applied to other similar volume-based library assessment projects.

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“…4. See Jeong and Kim (2010) for a complete review of library science studies that use time series methods.…”

Section: Similar Tomentioning

confidence: 99%

Shall we chat? A statistical case study of chat reference utilization

Luo¹

2017

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“…2) Will disruptions to normal campus activity result in a decreased usage of databases? LITERATURE REVIEW Jeong and Kim (2010) have produced an excellent annotated bibliography on time series analysis for librarians. Tenopir and Read (2000) reviewed database usage data from public and academic libraries and surveyed librarians on their views of database habits.…”

Section: Introductionmentioning

confidence: 99%

Forecasting Database Usage During the Height of COVID-19

Sharpe

Evans

2022

IJoL

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As with other catastrophic events, the COVID-19 pandemic disrupted higher education and library services. The authors examine the effect of the COVID-19 pandemic on usage of health databases in 2020. They use time series analysis to create a forecast based on previous years’ activities, and then compare it with actual database usage during the pandemic. The results show an initial increase in searches for the first full month of the pandemic, but then match the expected forecast data and decrease during summer and early fall months. The authors conclude that time series analysis is a useful tool for understanding the impact of events and for planning purposes.

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Time Series Analysis on Students’ Patronage of an Electronic Library: Case Study of John Harris Library (E-Learning Centre) University Of Benin

Ikponmwosa¹,

M²

2014

IOSRJHSS

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The University has unique duty of initiating, innovating, training and supporting scientific research, to shape the society. This is reinforced by the electronic libraries in academic institutions, which fosters students' literacy, ease of study and research. This work studies students' patronage of the e-library (E-Learning Centre) in John Harris Library, University of Benin as a function of time and make predictions and recommendations for future occurrences using time series models. Some models of Time Series were applied and analysed using Zaitun Time Series Software to a 4 year data (2009-2012) retrieved from the E-learning Centre, John Harris Library, University of Benin and forecasts were made based on these analyses. The results from one of the models; Holt-Winters Exponential Smoothing (Multiplicative), was found to have best described our data having the lowest

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Core Resources on Time Series Analysis for Academic Libraries: A Selected, Annotated Bibliography

Abstract: insights-library-archivaland-information-sciences.

Cited by 3 publications

References 5 publications

Shall we chat? A statistical case study of chat reference utilization

Shall we chat? A statistical case study of chat reference utilization

Forecasting Database Usage During the Height of COVID-19

Time Series Analysis on Students’ Patronage of an Electronic Library: Case Study of John Harris Library (E-Learning Centre) University Of Benin

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