bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using transaction log analysis to assess student search behavior in the library instruction classroom
Authors: Avery Susan , G. Tracy Daniel 
Published: July 2014

Purpose
– The purpose of this study is to determine how undergraduate students search in the context of a library instruction session. The results of an assessment of transaction logs are shared to provide evidence of student search behavior within a class setting.

Design/methodology/approach
– Transaction logs from 29 library instruction sessions using the library’s federated search tool were analyzed. Using a rubric, the authors assessed the logs to discover if students followed the instruction provided to construct more relevant, targeted searches, if they selected recommended resources and if they exhibited persistence in their searching.

Findings
– The study found most students had difficulty translating instruction on how to use quotation marks into their own searches, were mostly successful when choosing a database and notes varying participation patterns in classes taught at different times.

Practical implications
– Implications of this study include greater awareness of student search behaviors during library instruction sessions as well as guidance for providing reference services, particularly virtual reference where it is not possible to see how students construct searches.

Originality/value
– Although there have been studies of student search behaviors, examining behaviors during the context of a library instruction session is unique. This study provides an opportunity to observe student searching in a classroom setting and provides recommendations for more effective library instruction, both in the classroom and at the reference desk.
Crowdsourcing the curriculum
Authors: White-Farnham Jamie , Caffrey Carolyn 
Published: July 2014

Purpose
– The purpose of this article is to describe the rationale, process and results of an integrated curricular intervention for information literacy instruction in a first-year writing program.

Design/methodology/approach
– The information literacy coordinator collaborated with writing instructors and the Writing Program Administrator on the initial design of information literacy outcomes. The librarian and instructors created a modular curriculum with multiple lessons and activities aligned to each outcome. The curriculum was housed in the course management system for easy updating and distribution. Finally, instructors taught the embedded information literacy activities for two semesters and measured student improvement through a pre-/post-survey and a rubric-based assessment of students’ citation and documentation.

Findings
– Students saw significant gains over the course of the semester in their ability to use Boolean operators, identify the purpose of sources and understand citation styles. As a related and valuable measure, writing program assessment results showed an improvement in students’ performance in citation and documentation in researched writing assignments after a one-year implementation of the intervention. Writing instructors reported an increased awareness of information literacy pedagogy and intentionality in their teaching. Finally, the librarian was able to leverage this collaboration to highlight the teaching roles of librarians beyond the one-shot.

Originality/value
– Well-known temporal and logistical limits exist in regard to embedded, one-shot and multi-shot approaches to information literacy. The latter two are especially unsustainable when implemented at scale, such as within a first-year writing program that serves hundreds or thousands of students each semester. This study documents a faculty development approach in which writing instructors integrate information literacy (IL) into their own instruction. This offers a model that makes explicit IL processes and skills to writing instructors, results in high student performance and allows especially the small college librarian to manage his/her other strategic information literacy partnerships.
Using a brief questionnaire to assess the overall perceptions of basketball spectators
Authors: Calabuig Moreno Ferran , Crespo Hervás Josep , J. Prado-Gascó Vicente , M. Núñez-Pomar Juan 
Published: July 2014

Purpose
– The purpose of this paper is twofold. The first aim is to obtain a valid and reliable instrument for the holistic analysis of sporting events, and the second is to test a causal model in which future intentions depend on spectators’ perceptions of quality, satisfaction, and value of these events.

Design/methodology/approach
– A total of 493 spectators of a professional basketball team in the Spanish ACB league responded to a survey to measure the overall performance of the sporting event service. Exploratory factor analysis and further confirmatory factor analysis using structural equation models provides the methodology for testing the reliability and validity of the instrument.

Findings
– The scales have adequate reliability and validity indices. The path model explains 35.8 percent of the variance in future intentions, 54.0 percent in perceived value, and 49.5 percent in spectators’ satisfaction. Quality proves a better predictor of perceived value than satisfaction. Both perceived value and satisfaction have a similar weight in predicting spectators’ future intentions. The data indicate that quality has an effect on spectators’ future intentions, by altering their perceptions of value and satisfaction.

Research limitations/implications
– The research findings are somewhat limited, due to the sample consisting entirely of spectators of a single team in the Spanish ACB league.

Practical implications
– Managers can use these findings to develop loyalty strategies by creating service value and increasing spectators’ satisfaction through quality improvements.

Originality/value
– This study contributes to the literature on service quality by providing an overall measure to assess service in professional sporting events in a Latin-American context.
The impact of supply chain integration on firm performance
Authors: Huo Baofeng , Qi Yinan , Wang Zhiqiang , Zhao Xiande 
Published: July 2014

Purpose– This paper aims to provide empirical evidence of the effectiveness of various supply chain integration (SCI) practices under different competitive strategies in terms of cost leadership and differentiation.Design/methodology/approach– Survey methodology was used to collect data from 604 Chinese manufacturers. Hierarchical linear regression was used to analyze the moderating effects.Findings– The results showed that competitive strategies significantly influenced the effectiveness of SCI practices, including internal, process and product integration. More specifically, internal integration significantly affected the financial performance of cost leaders, while process integration contributed more to the financial performance of differentiators. However, competitive strategies had no significant moderating effect on the relationship between SCI and operational performance.Research limitations/implications– This study contributes to the literature by exploring the effectiveness of various SCI practices in relation to firm performance under different competitive strategies. The results should be treated with caution, as they may be more meaningful in China.Practical implications– The findings clarify the alignment of SCI with competitive strategies for practitioners, so that they can allocate their limited resources to build various SCI capabilities based on their strategic choices.Originality/value– The results enhance the body of knowledge on SCI from the perspective of contextual factors to explore its effectiveness at a more detailed level. This study extends the literature on the match between competitive strategies and SCI in improving financial performance.
Digital manufacturing-driven transformations of service supply chains for complex products
Authors: Holmström Jan , Partanen Jouni 
Published: July 2014

Purpose
– The purpose of this paper is to explore the forms that combinations of digital manufacturing, logistics and equipment use are likely to take and how these novel combinations may affect the relationship among logistics service providers (LSPs), users and manufacturers of equipment.

Design/methodology/approach
– Brian Arthur’s theory of combinatorial technological evolution is applied to examine possible digital manufacturing-driven transformations. The F-18 Super Hornet is used as an illustrative example of a service supply chain for a complex product.

Findings
– The introduction of digital manufacturing will likely result in hybrid solutions, combining conventional logistics, digital manufacturing and user operations. Direct benefits can be identified in the forms of life cycle extension and the increased availability of parts in challenging locations. Furthermore, there are also opportunities for both equipment manufacturers and LSPs to adopt new roles, thereby supporting the efficient and sustainable use of digital manufacturing.

Research limitations/implications
– The phenomenon of digital manufacturing-driven transformations of service supply chains for complex product does not yet fully exist in the real world, and its study requires cross-disciplinary collaboration. Thus, the implication for research is to use a design science approach for early-stage explorative research on the form and function of novel combinations.

Practical implications
– Digital manufacturing as a general-purpose technology gives LSPs an opportunity to consolidate demand from initial users and incrementally deploy capacity closer to new users. Reengineering the products that a manufacture currently uses is needed to increase the utilization of digital manufacturing.

Originality/value
– The authors outline a typology of digital manufacturing-driven transformations and identify propositions to be explored in further research and practice.
Putting sustainability into supply chain management
Authors: Beske Philip , Seuring Stefan 
Published: July 2014

Purpose
– The aim of this paper is to identify key categories of Sustainable supply chain management (SSCM) and related practices that are required to fulfill the demands of sustainability and, therefore, contributing to sustainability performance. As part of this, the authors will identify different approaches in practice implementation in SSCM and supply chain management (SCM). SSCM has become a topic of great interest and is linked to the assumption that a more sustainable performance for businesses would be achieved on its implementation. Such performance has to be achieved with respect to all three dimensions of sustainability.

Design/methodology/approach
– The paper is conceptual in nature. The authors draw from literature on SSCM and examine frameworks and critical accounts on the topic. This allows identifying key aspects of SSCM and pointing out differences and overlaps with SCM.

Findings
– The authors identify five key categories which are of high importance for the sustainable management of supply chains: orientation toward SCM and sustainability, continuity, collaboration, risk management and proactivity. In a second step, the authors describe distinctive practices which allow organizations to follow the goals formulated in the five key categories. Finally, they highlight issues preventing companies that follow a rather “conventional” approach to SCM to reach the level where it can be called SSCM, i.e. how to reach sustainability performance in SCM.

Research limitations/implications
– The work presented is conceptual in nature. It would be required to operationalize respective categories and, therefore, test them in empirical research.

Practical implications
– The categories and practices identified within the framework can be used for guiding managers toward the implementation of SSCM. This is the case when management takes performance implication into account without solely considering rather simplistic indicators. At the same time, differentiating a company based on the implementation of sustainability practices has become more difficult, due to the proliferation of sustainability in a wider field.

Social implications
– Social aspects are integrated into the framework on the same level as environmental and economic aspects, emphasizing the triple bottom line orientation.

Originality/value
– While all practices applied in SSCM have originally been identified and described by researchers for the case of “conventional” SCM, their particular interrelation and joint implementation makes up SSCM and ensures a contribution to sustainability performance.
Sustainable supply chain and company performance
Authors: Ortas Eduardo , M. Moneva José , Álvarez Igor 
Published: July 2014

Purpose– This paper aims to investigate the link between a sustainable supply chain and companies’ financial performance (FP) and provide empirical evidence about the relationship between these two constructs. This link is an important, but still unclear, subject.Design/methodology/approach– Multivariate measures of sustainable supply chain performance and companies’ FP are used for Granger causality tests on a large, diverse sample of 3,900 companies in a time frame of eight years (2004-2011).Findings– Results indicate general bidirectional causality between sustainable supply chain performance and companies’ margins and revenue. However, the link between firms’ profitability and sustainable supply chain performance is unidirectional. In addition, the recent financial crisis altered this link between the studied constructs. Finally, a wide diversity in relationship patterns between sustainable supply chain performance and companies’ FP emerges when the full sample is divided into different geographical regions and economic sectors as specified by the Global Industry Classification Standard system.Practical implications– This research makes recommendations for improving several processes, such as stakeholder evaluation of the sustainable supply chain performance of companies worldwide and manager testing of environmental policy outcomes.Originality/value– Building on the mostly qualitative literature on sustainable supply chain performance and companies’ FP, this research provides quantitative evidence of the gaps between these constructs. This research contributes to the discussions of supply chain management, environmental practices and the drivers of companies’ environmental and financial success.
“Performance Accelerators” push the frontiers of CFO leadership
Authors: Fuessler Bill 
Published: July 2014

Purpose
– Through interviews last year with 576 CFOs to find out how they’re contributing to the revenue, growth and foresight of the enterprises they represent, IBM researchers sought to identify the best practices of leading companies.

Design/methodology/approach
– IBM researchers identified a cohort of companies with outstanding finance units they called Value Integrators, organizations that were more effective than their peers in almost every area assessed. The finance units were especially good at measuring and monitoring business performance, managing risk and generating predictive insights.

Findings
– A subset of this group of successful firms far outperformed the rest. The researchers dubbed these superstars Performance Accelerators because they’ve mastered their core duties so thoroughly that they’ve taken a leap ahead of every other kind of finance organization.

Practical implications
– The Performance Accelerators’ particular blend of skills equipped them to help their companies make smarter decisions.

Originality/value
– Performance Accelerators exert more influence on the enterprises they serve, and make a bigger contribution to performance than any other kind of finance organization. And they do so because they are particularly adept at generating deep insights that can be used to stimulate profitable growth.
Sensors now looking for leaks, contaminates and damage, and not just counting or weighing packages
Authors: Bloss Richard 
Published: July 2014

Purpose
– The purpose of this paper is to review the most recent innovations in sensor technology for better quality in packaging. Checking for container seals, damaged product, contaminates as well as tracking product to meet government requirements.

Design/methodology/approach
– In-depth interviews with both the exhibitors and integrators of sensors at the recent PackExpo show.

Findings
– Sensor technology continues to address an ever increasing number of packaging applications including quality, safety, product tracking, correct labeling as well as counting, weighing and other more traditional applications.

Practical implications
– Sensor technology advances with greater use of X-ray, magnetic detection and remote chemical monitoring that are addressing an ever increasing number of packaging applications including quality, safety as well as counting, weighing and other more traditional applications.

Originality/value
– Customers will learn about the latest in X-ray, magnetic sensing and the application of vision, weighing and counting technologies for improved products as they pass through the packaging phase of production.
A novel sensor array and classifier optimization method of electronic nose based on enhanced quantum-behaved particle swarm optimization
Authors: Jia Pengfei , Tian Fengchun , Fan Shu , He Qinghua , Feng Jingwei , X. Yang Simon 
Published: July 2014

Purpose
– The purpose of the paper is to propose a new optimization algorithm to realize a synchronous optimization of sensor array and classifier, to improve the performance of E-nose in the detection of wound infection. When an electronic nose (E-nose) is used to detect the wound infection, sensor array’s optimization and parameters’ setting of classifier have a strong impact on the classification accuracy.

Design/methodology/approach
– An enhanced quantum-behaved particle swarm optimization based on genetic algorithm, genetic quantum-behaved particle swarm optimization (G-QPSO), is proposed to realize a synchronous optimization of sensor array and classifier. The importance-factor (I-F) method is used to weight the sensors of E-nose by its degree of importance in classification. Both radical basis function network and support vector machine are used for classification.

Findings
– The classification accuracy of E-nose is the highest when the weighting coefficients of the I-F method and classifier’s parameters are optimized by G-QPSO. All results make it clear that the proposed method is an ideal optimization method of E-nose in the detection of wound infection.

Research limitations/implications
– To make the proposed optimization method more effective, the key point of further research is to enhance the classifier of E-nose.

Practical implications
– In this paper, E-nose is used to distinguish the class of wound infection; meanwhile, G-QPSO is used to realize a synchronous optimization of sensor array and classifier of E-nose. These are all important for E-nose to realize its clinical application in wound monitoring.

Originality/value
– The innovative concept improves the performance of E-nose in wound monitoring and paves the way for the clinical detection of E-nose.
Improved image defogging method and its application in video monitoring system based on ARM
Authors: Zhu Haijiang , Yin Xiupu , Wang Xuan 
Published: July 2014

Purpose
– The purpose of this paper is to improve an image defogging algorithm based on a dark channel prior and use this method to clear the foggy image on the Advanced RISC (Reduced Instruction Set Computing) Machines (ARM) platform.

Design/methodology/approach
– The divided strategy of the foggy image was proposed through the estimation of the brightness and transmission thresholds. The two regions of the foggy image were processed using two transmissions. Many foggy images were tested using the improved method.

Findings
– The finding resulting from this study is that a divided strategy has been proposed to use the image defogging. Compared with the existing methods, the running time of the improved method is less on the ARM platform.

Practical implications
– Image enhancement is an important technology of digital images, and the quality of images plays a key role in the video monitoring and the intelligent transportation system.

Originality/value
– This paper presented an improved image defogging method using the divided strategy and a substantial number of experimental results was provided to demonstrate this method.
Tunnel-based method of sensitivity matrix calculation for 3D-ECT imaging
Authors: Wajman Radosław , Banasiak Robert 
Published: July 2014

Purpose
– The purpose of this paper is to introduce a significant modification of the sensitivity maps calculation process using electric field distribution analysis. A sensitivity matrix is typically a crucial part of a deterministic image reconstruction process in a three-dimensional capacitance tomography (3D ECT) and strictly decides about a final image quality. Commonly used sensitivity matrix computation methods mostly provide acceptable results and additionally allow to perform a recalculation of sensitivity maps according to the changing permittivity distribution.

Design/methodology/approach
– The new “tunnel-based” algorithm is proposed which traces the surfaces constructed along the electric field lines. The new solution is developed and tested using experimental data.

Findings
– To fully validate the new technique both linear and non-linear image reconstruction processes were performed and the criteria of image error estimation were discussed. This paper discusses some preliminary results of the image reconstruction process using the new proposed algorithm. As a result of this research, an increased accuracy of the new method is proved.

Originality/value
– The presented results of image reconstruction with new sensitivity matrix in comparison with the classic matrix proved that the new solution is able to improve the convergence and stability of image reconstruction process for 3D ECT imaging.
Formaldehyde sensing properties of ZnO-based hollow nanofibers
Authors: Wei Shaohong , Zhang Youjuan , Zhou Meihua 
Published: July 2014

Purpose– The purpose of this paper is to synthesize SnO2–ZnO hollow nanofibers, study their sensing properties and introduce an attractive candidate for formaldehyde detection in practice.Design/methodology/approach– Pure and SnO2–ZnO hollow nanofibers were synthesized by electrospinning method and characterized via X-ray diffraction, field-emission scanning electron microscopy and Fourier transform infrared spectroscopy. The formaldehyde-sensing properties were investigated.Findings– The optimum performance was obtained at 260°C by the 14 at.% SnO2–ZnO hollow nanofiber sensor. The sensor could detect formaldehyde down to 0.1 ppm with rapid response–recovery time (4-6 s and 7-9 s, respectively), high sensitivity, good selectivity and stability. The relationship between the sensor’s sensitivity and formaldehyde concentration suggests that the adsorbed oxygen species on the sensor’s surface is O2−. The prominent sensing properties are attributed to the one dimensional hollow nanofiber structures and the promoting effects of SnO2.Practical implications– The sensor fabricated from 14 at.% SnO2–ZnO fibers exhibits excellent formaldehyde-sensing characteristics. It can be used for formaldehyde detection in practice.Social implications– The electrospinning method is a very simple and convenient method for fabricating hollow nanofibers and the sensing material is of low cost.Originality/value– To the best of the authors’ knowledge, studies on formaldehyde sensing of SnO2–ZnO hollow nanofibers have not been reported before.