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A study of two approval program dealers was conducted by the Collection Development Department at California State University, Los Angeles. The purpose of the study was to compare the length of time it takes for each dealer to supply current American imprints to the library after publication, using a predetermined set of subject guidelines. While the timeliness of the materials supplied was the primary purpose of the study, other factors, such as number of titles supplied under the same set of subject guidelines, discount, charges for postage and handling, etc., were also considered. Based on these findings, a determination was to be made as to which dealer would supply approval program materials to the library in the future.

The inevitable change orders in construction projects have either direct or indirect impacts on a project’s duration. Reduced productivity is one of the indirect consequences that lead to major delays in the completion of the project. The purpose of this study is to develop a model that could quantify the impact of change orders on labor productivity and result in the establishment of policies to lessen their effects.

A model was developed to analyze the effects of change orders on labor productivity, then policies for managing their impacts on productivity and project duration were established. A water treatment case study was selected to serve as the scenario in which to implement and evaluate the model and policies.

The results of this study indicated that pressure to adhere to a schedule initially leads to an increase in labor productivity, but it is often followed by a significant drop that is a result of employee frustration. It was concluded that the pressure can be positive if it is applied for a short period of time; however, it continues for a significant length of time, the duration of the project will increase appreciably.

The proposed model can be implemented to identify the factors that affect labor productivity in a construction project. Its utilization will also help project managers assess when change orders occur and determine, which policies will be most effective in optimizing labor productivity.

This paper aims to quantify the impact of craft worker shortage on construction project safety performance.

A database of 50 North American construction projects completed between 2001 and 2014 was compiled by taking information from a research project survey and the Construction Industry Institute Benchmarking and Metrics Database. The t-test and Mann-Whitney test were used to determine whether there was a significant difference in construction project safety performance on projects with craft worker recruiting difficulty. Poisson regression analysis was then used to examine the relationship between craft worker recruiting difficulty and Occupational Safety and Health Administration Total Number of Recordable Incident Cases per 200,000 Actual Direct Work Hours (TRIR) on construction projects.

The result showed that the TRIR distribution of a group of projects that reported craft worker recruiting difficulty tended to be higher than the TRIR distribution of a group of projects with no craft worker recruiting difficulty (p-value = 0.004). Moreover, the average TRIR of the projects that reported craft worker recruiting difficulty was more than two times the average TRIR of projects that experienced no craft recruiting difficulty (p-value = 0.035). Furthermore, the Poisson regression analysis demonstrated that there was a positive exponential relationship between craft worker recruiting difficulty and TRIR in construction projects (p-value = 0.004).

The projects used to construct the database are heavily weighted towards industrial construction.

There have been significant long-term gains in construction safety within the USA. However, if recent craft shortages continue, the quantitative analyses presented herein indicate a strong possibility that more safety incidents will occur unless the shortages are reversed. Innovative construction means and methods should be developed and adopted to work in a safe manner with a less qualified workforce.

The Poisson regression model is the first model that quantifiably links project craft worker availability to construction project safety performance.

An autonomous sensing system is described for deployment on high voltage power lines and to provide an economical method for monitoring current on such lines. The autonomy is provided by drawing power off the line being monitored via electromagnetic induction to drive the current measuring device and for the transmission of the current data to ground level via an optic fibre link, which provides inherent electrical insulation. When the autonomy of the system is threatened, the system automatically switches to be energised from a laser source at ground control via a second optical fibre link. Test results showing the performance of the system are presented.

Researchers have discovered that service learning affects students’ academic, personal, and social development. However, currently there is a gap in literature analyzing ways in which service learning affects students’ perceived leadership skills. This study examined the effectiveness of service learning on the perceived leadership skills of 74 sport management undergraduate students at a mid-sized, Midwestern, public university using Kouzes’ and Posner’s Student Leadership Practices Inventory instrument, which examines leadership practices in five areas: Model the Way, Inspire a Shared Vision, Challenge the Process, Enable Others to Act, and Encourage the Heart. The results of this study may help faculty members and administrators to better understand the potential of utilizing service learning projects in their classrooms as a vehicle for their students to develop quality leadership practices. Recommendations for further research and practice are also discussed.

As announced in the May issue of Hybrid Circuits, ISHM‐Benelux is organising a one‐day conference on applications of hybrid circuit technology.

This research provides a literature review in the field of uncertainty dampening methods for manufacturing systems, and proposes a new model to improve materials management effectiveness in materials requirements planning environments. The literature review gives rise to a classification framework of the models along nine structural dimensions that refer to the safety buffer treatment, the environmental characteristics and the type of approach. On the basis of the classification framework, the proposed model provides guidelines for approaching the problem of dimensioning, positioning and managing safety stocks against demand uncertainty. The effectiveness of the proposed model has been tested by comparing it to the traditional approach, through a computer‐based simulation.

The fulfilment agency EBSCO is projecting a typical increase of 10–11% for renewing journal subscriptions for 1996. Even worse: price rises will be double that amount on average for European journals invoiced in US dollars.

The purpose of this paper is to evaluate the experience of visitors with the Janadriyah festival.

An on-site intercept survey was conducted among a random sample of visitors of the festival. The survey was conducted by two field researchers between February 10 and February 25, 2014. A self-administered questionnaire was distributed only to those who agreed to respond to the survey. Out of 200 questionnaires distributed, 28 were incomplete and thus eliminated from the study. As a result, 172 questionnaires were accepted for the purpose of final analysis, representing a response rate of 86 percent.

There is a statistically significant contribution for both the first motivation (I participate in the Janadriyah festival to increase my cultural knowledge) and the fifth one (I participate in the Janadriyah festival to see new and different things and to enjoy a unique atmosphere). There is a statistically significant relationship between the most of services provided and the level of satisfaction. As well as, there is a statistically significant relationship between the perception and the level of satisfaction, also with the word of mouth communication. Finally, the results shown that behavioral intention had a positive influence on word of mouth communication.

There were time limits to this study as the research was conducted during the organization of the Janadriyah festival during its 26th session (February-March 2014).The research was also limited by place as it was conducted at the capital of Saudi Arabia, Janadriyah province.

The model of the study could be applied in similar studies for different festivals all over the world.

Increasing the promotional efforts to attract more visitors from different regions in the world. As it is observed that the vast majority of participants in the Janadriyah festival are local residents. In addition, there is a need to organize training programs to all staff participating in the organization of the festival supervised by academics and professionals. Organizing seminars during the festival in order to increase the awareness of local residents with importance of the cultural heritage and how to keep it. And at the end, the program of the festival has to be updated from one session to another in order to attract more attendees.

The integrated model of the study represent an added value to the research in the field of tourism festivals.

The purpose of this paper is to examine challenges and potential of big data in heterogeneous business networks and relate these to an implemented logistics solution.

The paper establishes an overview of challenges and opportunities of current significance in the area of big data, specifically in the context of transparency and processes in heterogeneous enterprise networks. Within this context, the paper presents how existing components and purpose-driven research were combined for a solution implemented in a nationwide network for less-than-truckload consignments.

Aside from providing an extended overview of today’s big data situation, the findings have shown that technical means and methods available today can comprise a feasible process transparency solution in a large heterogeneous network where legacy practices, reporting lags and incomplete data exist, yet processes are sensitive to inadequate policy changes.

The means introduced in the paper were found to be of utility value in improving process efficiency, transparency and planning in logistics networks. The particular system design choices in the presented solution allow an incremental introduction or evolution of resource handling practices, incorporating existing fragmentary, unstructured or tacit knowledge of experienced personnel into the theoretically founded overall concept.

The paper extends previous high-level view on the potential of big data, and presents new applied research and development results in a logistics application.