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Article
Publication date: 8 October 2018

Patrick O’Brien, Scott W.H. Young, Kenning Arlitsch and Karl Benedict

The purpose of this paper is to examine the extent to which HTTPS encryption and Google Analytics services have been implemented on academic library websites, and discuss…

Abstract

Purpose

The purpose of this paper is to examine the extent to which HTTPS encryption and Google Analytics services have been implemented on academic library websites, and discuss the privacy implications of free services that introduce web tracking of users.

Design/methodology/approach

The home pages of 279 academic libraries were analyzed for the presence of HTTPS, Google Analytics services and privacy-protection features.

Findings

Results indicate that HTTPS implementation on library websites is not widespread, and many libraries continue to offer non-secured connections without an automatically enforced redirect to a secure connection. Furthermore, a large majority of library websites included in the study have implemented Google Analytics and/or Google Tag Manager, yet only very few connect securely to Google via HTTPS or have implemented Google Analytics IP anonymization.

Practical implications

Librarians are encouraged to increase awareness of this issue and take concerted and coherent action across five interrelated areas: implementing secure web protocols (HTTPS), user education, privacy policies, informed consent and risk/benefit analyses.

Originality/value

Third-party tracking of users is prevalent across the web, and yet few studies demonstrate its extent and consequences for academic library websites.

Details

Online Information Review, vol. 42 no. 6
Type: Research Article
ISSN: 1468-4527

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Article
Publication date: 29 April 2020

Rachel K. Fischer, Aubrey Iglesias, Alice L. Daugherty and Zhehan Jiang

The article presents a methodology that can be used to analyze data from the transaction log of EBSCO Discovery Service searches recorded in Google Analytics. It explains…

Abstract

Purpose

The article presents a methodology that can be used to analyze data from the transaction log of EBSCO Discovery Service searches recorded in Google Analytics. It explains the steps to follow for exporting the data, analyzing the data, and recreating searches. The article provides suggestions to improve the quality of research on the topic. It also includes advice to vendors on improving the quality of transaction log software.

Design/methodology/approach

Case study

Findings

Although Google Analytics can be used to study transaction logs accurately, vendors still need to improve the functionality so librarians can gain the most benefit from it.

Research limitations/implications

The research is applicable to the usage of Google Analytics with EBSCO Discovery Service.

Practical implications

The steps presented in the article can be followed as a step-by-step guide to repeating the study at other institutions.

Social implications

The methodology in this article can be used to assess how library instruction can be improved.

Originality/value

This article provides a detailed description of a transaction log analysis process that other articles have not previously described. This includes a description of a methodology for accurately calculating statistics from Google Analytics data and provides steps for recreating accurate searches from data recorded in Google Analytics.

Details

Library Hi Tech, vol. 39 no. 1
Type: Research Article
ISSN: 0737-8831

Keywords

Content available
Article
Publication date: 20 March 2017

Patrick OBrien, Kenning Arlitsch, Jeff Mixter, Jonathan Wheeler and Leila Belle Sterman

The purpose of this paper is to present data that begin to detail the deficiencies of log file analytics reporting methods that are commonly built into institutional…

Abstract

Purpose

The purpose of this paper is to present data that begin to detail the deficiencies of log file analytics reporting methods that are commonly built into institutional repository (IR) platforms. The authors propose a new method for collecting and reporting IR item download metrics. This paper introduces a web service prototype that captures activity that current analytics methods are likely to either miss or over-report.

Design/methodology/approach

Data were extracted from DSpace Solr logs of an IR and were cross-referenced with Google Analytics and Google Search Console data to directly compare Citable Content Downloads recorded by each method.

Findings

This study provides evidence that log file analytics data appear to grossly over-report due to traffic from robots that are difficult to identify and screen. The study also introduces a proof-of-concept prototype that makes the research method easily accessible to IR managers who seek accurate counts of Citable Content Downloads.

Research limitations/implications

The method described in this paper does not account for direct access to Citable Content Downloads that originate outside Google Search properties.

Originality/value

This paper proposes that IR managers adopt a new reporting framework that classifies IR page views and download activity into three categories that communicate metrics about user activity related to the research process. It also proposes that IR managers rely on a hybrid of existing Google Services to improve reporting of Citable Content Downloads and offers a prototype web service where IR managers can test results for their repositories.

Details

Library Hi Tech, vol. 35 no. 1
Type: Research Article
ISSN: 0737-8831

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Article
Publication date: 12 March 2018

Shweta Shrivastava, Kritika Nagdev and Anupama Rajesh

This paper aims to highlight the importance of analytics and its advantages in the human resource domain using the example of Google, which has extensively used analytics

Abstract

Purpose

This paper aims to highlight the importance of analytics and its advantages in the human resource domain using the example of Google, which has extensively used analytics to improve various aspects of people management.

Design/methodology/approach

The paper discusses human resource analytics and illustrates how it has been successfully implemented by Google to enable better decision-making.

Findings

Implementation of analytics in the area of human resources can make people-related decision-making objective, transparent and data-driven and, thus, make the function “quantitative” in nature.

Originality/value

Although analytics has been widely implemented in functions such as finance and marketing, it is yet to gain a strong foothold in the domain of human resources. This paper discusses how Google, a leading organization in the field of technology, has been able to take impactful people-related decisions with the help of analytics.

Details

Human Resource Management International Digest, vol. 26 no. 2
Type: Research Article
ISSN: 0967-0734

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Article
Publication date: 28 January 2011

Kazuo Nakatani and Ta‐Tao Chuang

The purpose of this paper is to develop an analytical hierarchy process (AHP)‐based selection model for choosing a web analytics product/service that meets organizational needs.

Abstract

Purpose

The purpose of this paper is to develop an analytical hierarchy process (AHP)‐based selection model for choosing a web analytics product/service that meets organizational needs.

Design/methodology/approach

The research objective is achieved through modeling and empirical validation.

Findings

While more criteria could be added, the proposed selection model provides a feasible approach to choosing a web analytics product/service. Cost‐ and risk‐related criteria are weighed heavier than those of technical capabilities. Tools based on the page tagging method are more popular than those based on transaction log file analysis. The level of technology savvy might play a role in the application of the selection model.

Research limitations/implications

The development of web analytics products/service is still evolving. Thus, as the use of web analytics increases, more criteria might be identified and added to the model. The model is validated by groups for different sectors. In the future, it is suggested to conduct a similar study with one sector by different groups.

Practical implications

The selection model provides a process in which practitioners can systematically evaluate pros and cons of web analytics products/services. The selection model includes a comprehensive list of criteria that vendors of web analytics products/services can use to benchmark their products. Following this model, an organization contemplating the use of web analytics will more likely find one product/service that accommodates organizational and technological characteristics.

Originality/value

A sufficiently comprehensive list of qualitative and quantitative criteria for evaluating web analytics products/services was developed. Practitioners will be able to use the model to select a proper tool. In academia, the article fills a gap in literature that might bring academics' interests in this area.

Details

Internet Research, vol. 21 no. 2
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 15 February 2011

Xin Wang, Demei Shen, Hsin‐liang Chen and Laura Wedman

This paper seeks to investigate how to use a web analytics tool to conduct deep analysis of users' web behaviors. This study aims to focus on examining whether the types…

Abstract

Purpose

This paper seeks to investigate how to use a web analytics tool to conduct deep analysis of users' web behaviors. This study aims to focus on examining whether the types of traffic sources and temporal fluctuation influence the web visitors' performance on the web portal of a K‐12 resource inventory.

Design/methodology/approach

One year's data were collected via the Advanced Segmentation function of Google Analytics. To compare visitors' behavior from different types of traffic recourses with the intervention of temporal effect, clickstream data of three visitor segments were collected.

Findings

Traffic sources and temporal effect have been found to influence web site visitors' performance interactively. Search engines seemed good at bringing a significantly large amount of traffic to the eThemes site, but most visitors are likely “information encounters”. However, visitors from direct traffic (bookmark/typed URLs) seemed to visit the eThemes site purposefully – stay for a long time on the site and view more web pages. Additionally, loyal users of the site seemed to employ the eThemes site as an everyday life information source.

Originality/value

This study introduces a strategic approach to study and analyzes web site visitors' behavior longitudinally. The findings of this study contribute to loyal user behavior identification. Empirical evidence has been found to support the correlational relationship between traffic sources, the temporal factor, and Key Performance Identifiers of a site.

Details

The Electronic Library, vol. 29 no. 1
Type: Research Article
ISSN: 0264-0473

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Article
Publication date: 3 November 2014

Midge Coates

– The purpose of this study was to examine factors influencing user selection of individual works in a collection of digitized sheet music.

Abstract

Purpose

The purpose of this study was to examine factors influencing user selection of individual works in a collection of digitized sheet music.

Design/methodology/approach

Google Analytics page view data were grouped by source (directing link) and correlated with five factors: inclusion in a collaborative indexing project (Sheet Music Consortium); browse list order; cover appearance; inclusion in mini-collections; and presence of links to audio versions.

Findings

Four of the five factors examined showed some influence on user selection: Works listed in the Sheet Music Consortium had more views/work than those not listed; Works at the top of the Sheet Music Consortium browse list had more views by Consortium users than those lower down; Works with cover graphics had more views/work than those with covers containing words alone; Works included in mini-collections received more views/work from users with access to those mini-collections; Works with links to audio versions did not have more views/work than works without links.

Practical implications

The most important finding of this study is that the best way to increase the use of individual collection items may be to participate in a large and well-known collaborative index such as the Sheet Music Consortium.

Originality/value

This is the first study using Google Analytics to examine factors influencing user selection of individual digital collection items.

Details

The Electronic Library, vol. 32 no. 6
Type: Research Article
ISSN: 0264-0473

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Article
Publication date: 4 March 2021

Benoit Leleux, Charlotte Whitmore, Natalia Ligai and Theofanis Manolikas

The case provides a great illustration of women leadership in crisis times. A failed merger forced a deep review of the firm strategy and a realization that the legacy…

Abstract

Study level/applicability

The case provides a great illustration of women leadership in crisis times. A failed merger forced a deep review of the firm strategy and a realization that the legacy leadership arrangement was not optimal anymore. The hustand-and-wife team ended up swapping executive positions, with Charlotte resolutely taking on the CEO position.

Subject area

The case is designed as an integrative case looking simultaneously at key subjects such as leadership, entrepreneurship and management of a fast growing service firm, strategy as applied to IT consulting and finally gender studies, with the possibility to discuss the impact of gender roles.

Case overview

The case investigates Charlotte's efforts at building an original Search Engine Optimization firm in Seattle, progressively taking control from her husband to save the firm from bad strategic decisions.

Expected learning outcomes

The case is written to convey the emotional rollercoaster lived by Charlotte and key decisions she had to make as the leader of this fast growing data analytics firm. Learning outcomes focus on what is expected of a leader in such situation, in particular a female leader in a male-dominated technology environment.

Supplementary materials

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Social Implications

Consulting in general, and data analytics consulting in particular, are male-dominated worlds where a female leader faces many obstacles to realize their potential. Charlotte provides a masterful example of how to contribute to and lead a fast-growing firm and manage the family and the relationship to a partner who also happens to be the co-founder of the firm.

Subject code

CCS 3: Entrepreneurship

Details

The Case For Women, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN:

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Article
Publication date: 21 April 2020

Michal Indrák and Lenka Pokorná

The Moravian Library has noted a long-term decline in the total number of visitors and the number of books either lent or used for reference, a phenomenon, which is…

Abstract

Purpose

The Moravian Library has noted a long-term decline in the total number of visitors and the number of books either lent or used for reference, a phenomenon, which is generally explained by the increased availability of digitised books and a wider selection of electronic services in general. This paper aims to examine whether this is indeed the case, comparing the usage of the physical and digital libraries. The study also examines whether all the elements of library usage change accordingly with the digital transformation of the library’s services, what are the actual implications of this trend for research libraries in general, determining an ideal model for such a library; it proposes possible solutions to the challenges digital transformation brings about. At the same time, the study attempts to answer the question whether the overall number of library users is actually decreasing or increasing and what impact digital transformation has on the reach of library services.

Design/methodology/approach

Comparative analysis of data with offline usage statistics on one hand and data obtained via backend logging and Google analytics on the other, and an evaluation of a questionnaire survey among digital library users.

Findings

The data analysis demonstrates that it is not only possible but also even desirable, to gradually replace traditional library services with a digital infrastructure without major complications.

Originality/value

The case study provides statistically substantiated examples of a successful partial digital transformation in a research library in the Czech Republic.

Details

Global Knowledge, Memory and Communication, vol. 70 no. 1/2
Type: Research Article
ISSN: 2514-9342

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Article
Publication date: 13 April 2015

Jason Rhode, Stephanie Richter, Peter Gowen and Murali Krishnamurthi

As faculty professional development increasingly occurs online and through social media, it becomes challenging to assess the quality of learning and effectiveness of…

Abstract

Purpose

As faculty professional development increasingly occurs online and through social media, it becomes challenging to assess the quality of learning and effectiveness of programs and resources, yet it is important to evaluate such initiatives. The purpose of this paper is to explore how one faculty development center experimented with using analytics to answer questions about the use and effectiveness of its web and social media resources.

Design/methodology/approach

The case study was based on direct observation of the center’s practice and review of selected data generated by the analytic tools.

Findings

Unfortunately, while some analytics are available from a variety of sources, they are often distributed across tools and services. The center developed an analytics strategy to use data from Google Analytics and social media reporting tools to assess the use of online and social professional development resources. Initial results show that the center’s online and social professional development resources are widely used, both within and outside the university. However, more work is necessary to improve the strength and scope of the available analytics.

Practical implications

As a result of the analysis, the center has streamlined online resources, targeted social media use, and has begun developing methods to allow faculty to report online resource use as professional development for academic personnel purposes.

Originality/value

Many faculty development centers have not explored methods of evaluating online and social media resources. This paper outlines a strategic evaluation plan to measure the usage of online resources as well as engagement and interaction through social media.

Details

Journal of Applied Research in Higher Education, vol. 7 no. 1
Type: Research Article
ISSN: 2050-7003

Keywords

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