Search results

This paper aims to provide an assessment of an ebook collection in an academic library, and attempts to locate usage trends by subject and publisher.

The research was based on: three years of usage data from two e‐book packages: NetLibrary and Ebrary; two methods of purchase: NetLibrary was a one‐time purchase; Ebrary is purchased on a subscription basis. The research evaluated usage difference over time between the two packages and analyzed subject and publisher usage.

The research found that Ebrary showed increased usage over time; NetLibrary demonstrated decreased usage; subject analysis showed ebooks in health sciences and hotel had highest usage; publisher analysis results illustrated the fact that five publishers had highest usage in both ebook collections.

For circulation rate of each ebook package, two years of data were not available for Ebrary, resulting in incomplete comparison over three‐year period between the two packages.

The paper assists in identifying usage patterns of ebooks across publishers and subjects; compares two different business models of obtaining ebooks; and helps with effective selection of ebooks to support teaching and learning.

Usage data over three years provided evidence to help libraries select a business model for acquiring ebooks; the research provides assessment of ebook collections to identify trends across publishers and subjects.

The purpose of this paper is to present the results from a quantitative analysis comparing usage levels between an e-monograph collection that has experienced continual growth and an e-monograph collection that has not experienced any recent growth whatsoever. The aim of the study was to determine quantitatively if e-monograph collections with dynamic content experience greater levels of usage compared to e-monograph collections that are static in both size and content.

E-monograph data were separated into a Dynamic and a Static Collection. Usage for e-monographs belonging to the Dynamic Collection was compared to usage of e-monographs belonging to the Static Collection. The number of e-monographs was obtained by simple count. Additional statistics tracked include the number of viewings. A linear regression analysis was used to determine the strength of the linear relationship between collection size and usage.

Results indicate that e-monograph collections that continue to grow in both size and content also continue to experience year-to-year increases in usage, whereas e-monograph collections that remain static in size and content experience a decline in usage. A linear regression analysis indicates the existence of a very strong linear relationship that exists between Dynamic Collection size and usage. A weaker linear relationship was calculated for Static Collection size and usage.

This research is one of very few studies systematically and quantitatively comparing usage levels between e-monographs from growing collections to collections that have not had any new titles added recently.

The purpose of this article was to present the results of a quantitative analysis that compared usage levels between an e-reference collection that has experienced continual updated content and growth and an e-reference collection that has not experienced any recent changes. The aim of the study was to determine quantitatively if e-reference collections with dynamic content experience greater levels of usage compared to e-reference collections that are static in both size and content.

E-reference data were separated into a dynamic collection and a static collection. Usage for e-reference belonging to the dynamic collection was compared to usage of e-reference belonging to the static collection. The number of e-reference was obtained by simple count. Additional statistics tracked include the number of viewings. A linear regression analysis was used to determine the strength of the linear relationship between collection size and usage.

Results indicate that e-reference collections that continue to grow in both size and content also continue to experience year-to-year increases in usage. E-reference collections that remain static in size and content experienced a decline in usage. A linear regression analysis indicates the existence of an extremely strong linear relationship between dynamic content and usage. A weaker linear relationship was calculated for static content.

To this author’s knowledge, this research is the first to systematically and quantitatively compare usage levels between e-reference titles from growing collections to collections that have not had any new titles added recently.

This study aims to describe the development of hospitality research in terms of research methods and data sources used in the 2010s.

Content analyses of the research methods and data sources used in original hospitality research published in the 2010s in the Cornell Hospitality Quarterly (CQ), International Journal of Hospitality Management (IJHM), International Journal of Contemporary Hospitality Management (IJCHM), Journal of Hospitality and Tourism Research (JHTR) and International Hospitality Review (IHR) were conducted. It describes whether the time span, functional areas and geographic regions of data sources were related to the research methods and data sources.

Results from 2,759 original hospitality empirical articles showed that marketing research used various research methods and data sources. Most finance articles used archival data, while most human resources articles used survey designs with organizational data. In addition, only a small amount of research used data from Oceania, Africa and Latin America.

This study sheds some light on the development of hospitality research in terms of research method and data source usage. However, it only focused on five English-based journals from 2010–2019. Therefore, future studies may seek to understand the impact of the COVID-19 pandemic on research methods and data source usage in hospitality research.

This is the first study to examine five hospitality journals' research methods and data sources used in the last decade. It sheds light on the development of hospitality research in the previous decade and identifies new hospitality research avenues.

Zn has been attracting increasing attention with its biological compatibility property as a degradable implant material. Besides mechanical properties, especially for bone implant applications, wear resistance is a crucial mechanical property. The purpose of this study is to investigate HPTed Zn samples’ tribological behavior under dry and simulated body fluid (SBF) lubrication conditions.

Pure Zn powders were consolidated via the high-pressure torsion (HPT) method with 1, 5 and 10 rotations. Cast pure Zn samples were used as the control group. The wear behavior of pure Zn samples was investigated under dry and SBF lubrication conditions with a ball-on testing method. The wear tracks were observed with a mechanical profilometer and scanning electron microscope (SEM).

The application of HPT not only improved the mechanical strength and degradation performance but also improved wear resistance. However, tests with SBF resulted in higher wear rates. Besides, SBF significantly masked the positive effect of HPT on the coefficient of friction (COF). Although with SBF tests, 10 HPT rotation samples resulted in the lowest wear width and volume.

The main originality of this study is to reveal the HPT process and SBF effects on the tribological behavior of pure Zn to observe their potential usage for bone implant applications.

This chapter considers warranty policies involving two attributes, such as the time elapsed since sale of the product and product usage at a given point in time. Examples of such policies are found for automobiles, where warranty may be invoked by the consumer if both time and usage are within specified warranty parameters when a product failure occurs. Here, we assume that usage and product age are related through a random variable, the usage rate, which may have a certain probabilistic distribution as influenced by consumer behavior patterns. Furthermore, product failure rate is influenced by the usage rate and product age as well as research and development expenditures per unit. It is assumed that, in production, there is a learning effect with time. The attained market share of a product will be influenced by the warranty policy parameters of warranty time and usage limit and also by the product price and product quality. An integrated model is developed to address multiobjective goals such as attainment of a specified level of market share and net profit per unit when manufacturing and warranty costs are taken into account. The impact of the goal priorities are investigated on the attained warranty policy parameters.

Numerous reviews ranging from broad overviews to highly specific analysis are published each year about the paint industry. The paint industry lends itself to such reviews for it is a mature industry, and there are very little secrets about the industry's operations. Also, excellent statistics are available which provide the possibility of drawing numerous correlations.

There is a contradictive debate on factors influencing mobile phone usage awareness among scholars. This study aims to examine factors influencing mobile phone usage awareness for accessing agricultural marketing information.

A descriptive cross-sectional research design was used with 400 smallholder grape farmers. The use of structured questionnaires, focus group discussions and key informant interviews helped to collect primary data. Data analysis was subjected to descriptive, ordinal logistic regression and thematic approaches.

This study found that farmers were mostly aware of voice calls helping to access buyers and price information. Education, age and sex were the critical factors influencing mobile phone usage awareness among grape smallholder farmers.

This study contributes to scientific knowledge by providing an understanding of the perceived factors on mobile phone usage awareness within the grape subsector to inform policymakers.

The purpose of this paper is to propose an efficient iterative method for large-scale finite element equations of bad numerical stability arising from deformation analysis with multi-point constraint using Lagrange multiplier method.

In this paper, taking warpage analysis of polymer injection molding based on surface model as an example, the performance of several popular Krylov subspace methods, including conjugate gradient, BiCGSTAB and generalized minimal residual (GMRES), with diffident Incomplete LU (ILU)-type preconditions is investigated and compared. For controlling memory usage, GMRES(m) is also considered. And the ordering technique, commonly used in the direct method, is introduced into the presented iterative method to improve the preconditioner.

It is found that the proposed preconditioned GMRES method is robust and effective for solving problems considered in this paper, and approximate minimum degree (AMD) ordering is most beneficial for the reduction of fill-ins in the ILU preconditioner and acceleration of the convergence, especially for relatively accurate ILU-type preconditioning. And because of concerns about memory usage, GMRES(m) is a good choice if necessary.

In this paper, for overcoming difficulties of bad numerical stability resulting from Lagrange multiplier method, together with increasing scale of problems in engineering applications and limited hardware conditions of computer, a stable and efficient preconditioned iterative method is proposed for practical purpose. Before the preconditioning, AMD reordering, commonly used in the direct method, is introduced to improve the preconditioner. The numerical experiments show the good performance of the proposed iterative method for practical cases, which is implemented in in-house and commercial codes on PC.

As medium-sized academic libraries’ budgets continue to shrink or cannot compete with inflation rates, document delivery options like ILLiad and unmediated Get It Now can play a prominent role in providing content lost due to the inevitable cancellation of serial subscriptions. This paper aims to evaluate the impact of using these two options in a US university.

This paper examines the usage of these two services for the three fiscal years following the implementation of Get It Now at Bradley University.

Questions addressed are as follows. How have they been used over the three-year time period? Which user status group has been using them, undergraduates, graduate students or faculty members? Which departments on campus have been using them the most?

This study is the first to look at the usage of Get It Now and ILLiad together over multiple years.