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The purpose of this paper is to describe a project undertaken at SUNY Cortland to develop a system that would collect electronic resource usage data in a consistent manner and allow SUNY Cortland to assess this data over several years.

The project used data gathered from EZProxy server log files to examine usage of the library's electronic resources.

Through examining the usage data the library discovered that users were utilizing particular types of resources, from specific physical locations, and accessing those resources from specific pages in the library's web site.

By examining usage data for electronic resources, libraries can learn more than which resources are being used. Usage data can give libraries insight into where, when, how, and possibly why their users are accessing electronic resources.

In today's business environment, big data is viewed as the “new oil,” which is rapidly changing the traditional business models and mode of operations. According to commentaries and scholarly work, big data and its applications have penetrated deeply into the very core of the products, services, and functional areas of many firms. What remains unclear is how using this “new oil” (big data) and “new technique” (data diagnosticity) can result in new “products and processes.” The purpose of this paper is to examine the effects of big data usage on product and process innovation, and the moderating role of data diagnosticity on said associations.

Data were obtained from Turkish firms that utilize big data in their daily operations and analyzed with the partial least squares' structural equation modeling technique.

The findings revealed that big data usage is a predictor for higher product and process innovation. Diagnostic capabilities of the firms did not amplify the link between big data usage and product innovation, big data usage and process innovation.

This paper is among the first study to examine the association of big data usage, data diagnostic capabilities, product, and process innovations in the Turkish context. Implications for theory and practice are discussed.

This paper aims to share some experiences and practical activities related to the use and management of usage data in the Digital Resource Acquisition Alliance of Chinese Academic Libraries (DRAA) as a reference for library consortia engaged in providing usage statistics services of e-resources to member libraries.

A literature review and online survey are used to analyze the research and practice of e-resources usage statistics conducted internationally. The case of DRAA is introduced to present how DRAA develops usage statistics services and promotes the implementation of the Standardized Usage Statistics Harvesting Initiative (SUSHI) to deliver usage statistics to member libraries. Future developments and enhancements are also described.

The main actions taken by DRAA to develop usage statistics services are as follows: development of the DRAA Usage Statistics Portal to provide a single point of access to usage statistics from participating publishers on behalf of member libraries; development of a SUSHI client, taking the lead in promoting SUSHI implementation to automatically obtain usage statistics in Chinese academic libraries; establishment of a working group on usage statistics and the China Academic Library and Information System/DRAA Standards and Recommended Practices Research Task Group to form a long-term mechanism for monitoring and gathering usage statistics; and strengthening of the understanding and application of standards and best practices for libraries and vendors in China. Scheduled enhancements in the future include a deep analysis and utilization of usage statistics, the promotion of Counting Online Usage of NeTworked Electronic Resources and SUSHI to Chinese academic resource publishers and raising awareness about normalizing usage statistics.

This paper has pertinence and wider implications for library consortia engaged in providing e-resources usage statistics services to member libraries.

The emergence of mobile health (mHealth) products has created a capability of monitoring and managing the health of patients with chronic diseases. These mHealth technologies would not be beneficial unless they are adopted and used by their target users. This study identifies key factors affecting the usage of mHealth apps based on user usage data collected from an mHealth app.

Using a dataset collected from an mHealth app named mPower, developed for patients with Parkinson's disease (PD), this paper investigated the effects of disease diagnosis, disease progression and mHealth app difficulty level on app usage, while controlling for user information. App usage is measured by five different activity counts of the app.

The results across five measures of mHealth app usage vary slightly. On average, previous professional diagnosis and high user performance scores encourage user participation and engagement, while disease progression hinders app usage.

The findings potentially provide insights into better design and promotion of mHealth products and improve the capability of health management of patients with chronic diseases.

Studies on the mHealth app usage are critical but sparse because large-scale and reliable mHealth app usage data are limited. Unlike earlier works based solely on survey data, this research used a large user usage data collected from an mHealth app to study key factors affecting app usage. The methods presented in this study can serve as a pioneering work for the design and promotion of mHealth technologies.

This study explored spatial usage of a public library based on activity logs produced by real users. The purpose of this paper is to provide preliminary data for decision-making when establishing the library operation policy.

To achieve the goal, the author collected a variety of data including 274,242 seat reservations logs, 3,361,284 collection usage logs, and 96,098 user information for the four years in which the National Library of Korea, Sejong actually operated. The crawled data were analyzed statistically in terms of demography, month, day of week, time of day and room by room. The author conducted additional in-depth analysis according to the external factors such as weather or social demographic environment. Finally, the author discussed several issues and verified feasibility of the proposals to support decision-making in operating a library in conclusion with a secondary librarian interview.

The usage rate in all the spaces of the National Library of Korea, Sejong, has been increasing since its opening, and, in particular, the usage rate increases sharply in January, February, July and August. In addition, the usage rate during weekends was higher than that during weekdays, and all the four spaces had a high usage rate during the afternoon. These results seem to be related to weather, users’ life pattern, users’ age, and position of PCs and seats. Based on the circulation logs analysis of children’s collections, users in their 10s and 40s showed the same space usage pattern.

This study has significance in that it attempted to analyze logs produced by real users during the actual library operation period, which has not been frequently attempted in the previous studies on libraries. The findings will be provided as basic data to support decision-making for efficient operation of libraries.

To create the expected value and benefits through open data, appropriate provision and usage of data are required simultaneously. However, the level of provision and usage of open data differs from country to country. Moreover, previous research on open data has only focused on either open data provision or usage. To fill the research gap, the purpose of this paper is threefold: first, to understand the current status of the provision and usage of open data; second, to identify patterns in the provision and usage of open data; and third, to provide appropriate future directions and guidelines for the transformation paths of each pattern.

The authors analyzed the data collected from open data portals of 13 countries that provide information on the provision and usage of open data together.

The authors identified four patterns of the provision and usage of open data, namely, availability-driven, government-driven, market-driven and interaction-driven patterns. Furthermore, three strategic paths of transformation reach a high level of open data provision and usage, namely, data provision-focused, data usage-focused and balanced transformation paths.

This study provides a foundation that enables researchers to build a holistic theory that can integrate fragmented and incomplete knowledge of open data and usage, particularly in the context of government.

This paper seeks to report a data‐driven assessment of student and faculty use of electronic scholarly resources pre‐ and post‐implementation of an open‐URL link resolver.

Usage data were extracted from two multidisciplinary scholarly aggregators pre‐ and post‐implementation of an open‐URL link resolver. Open‐URL link resolver usage data for both aggregators were also collected and two timelines established. Statistical analysis was performed to assess direct and indirect impact.

Study results show that the implementation of an open‐URL link resolver has directly contributed to usage increase in the short and long periods under study. Usage patterns also indicate the technology has indirect impact.

Limitations include one‐semester limits of short‐term data. Non‐standardized data could be compared only within each aggregator.

Research outcomes provide a tool for the assessment of student/faculty use of electronic scholarly resources and Collections and Catalog librarian participation in teaching and learning. Usage data are increasingly available to librarians, so work based on research findings can be assessed.

This paper reports student/faculty usage data of searching activities, not their perceptions of electronic resources. Usage data demonstrate that librarians who select and provide access to electronic resources positively affect teaching and learning.

Open government data (OGD) is a comparatively new field in e-government and the factors influencing its continuance use by citizens have not been extensively explored. A better understanding of these factors can help the government to articulate strategies and policies that can advance the acceptance and use of OGD technologies. Thus, this paper aims to empirically determine the predictors influencing the continuance usage intention of OGD technologies.

Following an empirical investigation among 370 respondents in Bangladesh, a developing country, the paper applied path analysis using the structural equation modeling approach. The unified theory of acceptance and use of the technology model is integrated with the information system continuance model to investigate the continuance usage intention of OGD technologies.

The outcomes of this study reveal that performance expectancy, effort expectancy, social influence and facilitating conditions (FC) directly affect users’ satisfaction (SAT). In addition, SAT and FC were found statistically significant toward continuance usage intention of OGD technologies.

The findings of this study suggest policymaker and OGD providers to formulate or modify their strategies to retain the existing OGD users and stimulate persistence usage.

Facilitating long-term use by citizens would increase their engagement and they might derive value from the OGD platforms. Concurrently, the government’s objective of ensuring increased future use of OGD technologies would be better realized.

The novelty of this study lies in the fact that it addresses a previously overlooked area of open data research, namely, the acceptance and use of open data technologies and ways to stimulate it. This study has contributed to the existing but limited literature on continuance usage intention of OGD technologies in the context of a developing country.

While “transparency-by-design” serves as the antecedent of any Open Government Data (OGD) initiative (Janssen et al., 2017), its logical objective would be the extent to which data “usage” is facilitated. This paper aims to underscore the significance, drivers and barriers to ensure “usage” of data sets conceding that re-use of data sets is one of the key objectives of any OGD initiative.

With a documentary analysis approach, the OGD initiative of Sri Lanka is investigated for the present purpose. Furthermore, the theoretical model of citizen engagement in OGD suggested by Sieber and Johnson (2015) is being referred to appreciate the extent to which the usage of data sets is facilitated via the OGD platform.

There are drivers as well as barriers as far as facilitating the usage of the data sets in the Sri Lankan OGD initiative is concerned. For instance, some of the drivers are the provision of suggesting data sets or the possibility of referring to data sets which are historical in nature. However, there are countless barriers to usage than the drivers. For instance, there is absence of metadata in the data sets; the data sets are not updated regularly; there are historical data; the formats of the data sets are limited in nature and are not user-friendly; there is no facility of conducting data visualization or analytics, and there is no collaborative approach towards building further the OGD initiative.

As only one case study is probed in the paper, further research is warranted to undertake a comparative approach by taking two or more case studies into consideration.

This study holds relevance for Sri Lankan Government and other stakeholders (policy makers, citizens, developers and the like) so far as furthering of user engagement in OGD initiative is concerned.

Facilitating more usage by citizens would increase their engagement, and they might derive value out of the data sets. At the same time, the government’s objective of ensuring increased usage of the data sets would be better realized.

“Transparency-by-design” approach had its focus on the publishing phase of OGD, and this paper seeks to provide its logical conclusion by emphasizing upon “usage by stakeholders” because by opening data sets, the government has the target to ensure that these open data sets are being used and re-used. Therefore, it is the outcome which is being discussed with the support of a case study set in the background of Sri Lanka’s Open Data initiative. Besides, this is the first study which probes the OGD initiatives of Sri Lanka – therein lies the major contribution of the study.

As libraries are developing a larger Web presence, issues regarding the utility, accessibility, and impact of the usage of their networked resources and services are gaining critical importance. The need to assess systematically the networked electronic services and resources is great as increasing amounts of financial resources are dedicated to the Web presence of libraries. This paper aims to address this issue.

This project proposes to measure the impact of networked electronic services, building on MINES for Libraries^®, in a scalable way across libraries and consortia to enhance digital library service quality and impact on learning by enabling the future allocation of resources to areas of user‐identified need. Short, standardized web surveys are placed at the point‐of‐use of networked electronic resources and services through a network assessment infrastructure that uses contemporary mechanisms of authentication and access, such as EZproxy, openURL, Shibboleth, federated searching and others as modules to interface with ARL's StatsQUAL^®. A valid and reliable sampling method is proposed.

Point‐of‐use web surveys hold considerable promise as key tools in the assessment toolkit libraries may deploy to improve the research, teaching, and learning outcomes of their users.

This project enhances and deepens the information gained from vendor‐supplied data.

The developments described will make it easier for libraries to assess the usage of networked electronic resources and services.