bluuebunny/crossref_metadata_2025_split huggingface dataset:
Driving forces of road freight CO2 in 2030
Authors: Liimatainen Heikki , Hovi Inger Beate , Arvidsson Niklas , Nykänen Lasse 
Published: March 2015

Purpose
– Road freight carbon dioxide (CO2) emissions are determined by a complex interaction between shippers and hauliers within the boundaries set by regulations and economic factors. It is necessary to gain understanding about the various driving forces and trends affecting these to promote low carbon future. The purpose of this paper is to find out what factors affect the long-term future development of road freight CO2 emissions and whether the long-term emission targets will be achieved.

Design/methodology/approach
– An international comparison of similar Delphi surveys is carried out in Finland, Norway, and Sweden.

Findings
– The Delphi surveys indicate that the structural change of the economy, changes of consumer habits, concerns of energy and environment and changes in logistics practices and technology are the overarching trends shaping the future of the energy efficiency and CO2 emissions of road freight transport. The expert forecasts for Finland and Sweden highlight that reaching the carbon emission target of 30 per cent reduction for the year 2030 is possible. However, the CO2 emissions may also increase significantly even though the CO2 intensity would decrease, as the Norwegian forecast shows.

Originality/value
– This study combined quantitative and qualitative analysis. The results confirmed that similar factors are seen to affect the future in all three countries, but with some national differences in the likely effects of the factors. Future research using the same methodology would enable wider analysis of the global significance of these driving forces.
Market adoption of reverse factoring
Authors: Dello Iacono Umberto , Reindorp Matthew , Dellaert Nico 
Published: March 2015

Purpose– The purpose of this paper is to show that market dynamics can significantly influence the lifecycle and value of a supply chain finance (SCF) arrangement.Design/methodology/approach– Based on a review of scientific and trade literature, the authors construct a model of market dynamics for reverse factoring, a specific type of SCF arrangement. The authors assume that firms’ participation in a reverse factoring arrangement is determined by the direct benefits they can derive from it. The authors analyse the model by means of simulation in system dynamics.Findings– The authors identify the following market factors as key for direct benefits: competition, interest rates, receivables volumes, and firms’ working capital goals. The authors find that reverse factoring can yield direct benefits for all supply chain participants, but that these benefits are highly sensitive to market conditions.Research limitations/implications– The model is stylized, but this study shows the need for further research on the dynamic aspects of SCF arrangements.Practical implications– The authors show that supply chain actors should carefully consider the expected evolution of market factors when deciding on participation in a reverse factoring arrangement.Originality/value– Existing research on SCF arrangements almost exclusively considers a static context, where market factors take fixed, known values. The authors provide the first study that links the direct benefits of SCF arrangements to dynamic, interacting market factors. The authors utilize system dynamics, a methodology well-suited to the analysis of such settings, to show that a comprehensive assessment of SCF arrangements cannot neglect the evolutionary perspective.
Key variables to predict tie strength on social network sites
Authors: Luarn Pin , Chiu Yu-Ping 
Published: March 2015

Purpose
– The purpose of this paper is to predict tie strength using profile similarities and interaction data between users, and thus distinguish between strong and weak relationships on social network sites (SNSs).

Design/methodology/approach
– This study developed a program and an online questionnaire to collect the data set from Facebook, and then integrated that data set with a subjective data set consisting of participants’ opinions of the strength of their friendships on Facebook. The model developed here for predicting tie strength performed well when was applied on a data set of 6,477 SNSs’ ties, distinguishing between strong and weak ties with over 50 percent accuracy.

Findings
– The results developed an algorithm (predictive model) that quantifies and measures tie strength continuously to bridge the gap between theory and practice. The results found that the variables in the dimension of emotional intensity had stronger effects than other interaction variables.

Originality/value
– This study developed a predictive model that helps explain the meaning of interaction on SNSs, providing an efficient method to examine tie strength on SNSs. The tie strength estimates can also be used to improve the range and performance of various aspects of SNSs, including link predictions, product recommendations, newsfeeds, people searches, and visualization. Such understanding of the structure of SNSs might lead ultimately to the design of algorithms that can detect trusted or influential users of SNSs.
Understanding the relationships of critical factors to Facebook educational usage intention
Authors: Wu Chih-Hung , Chen Shih-Chih 
Published: March 2015

Purpose
– The purpose of this paper is to conceptualise a framework that integrates information quality, system quality, function quality, and social influence based on the information system (IS) success model, to explore the relationship among these factors, which might be the key determinants of Facebook educational usage intention.

Design/methodology/approach
– An internet survey was conducted to collect empirical data from 221 Facebook users on their experiences of using Facebook. This study applied structural equation modeling (SEM) to demonstrate the proposed model’s construct relations and multiple group analysis.

Findings
– The results of this study show that social influence and information quality are critical and direct determinants that affect users’ continuous intention to use Facebook in learning; social influence also indirectly affect Facebook usage intention through the mediating effect of information quality. Except the path between social influence and usage intention in age subgroups, the relationships among these determining factors in the proposed model are stable, and there were no significant differences among gender subgroups and age subgroups examined using the multiple group comparison test.

Originality/value
– The findings provide a better understanding of the IS success model that influences the Facebook educational usage intention for researchers and practitioners.
Antecedents and consequences of e-shopping: an integrated model
Authors: Lim Weng Marc 
Published: March 2015

Purpose– The purpose of this paper is to present an integrated information systems–consumer behavior (IS-CB) model for e-shopping to examine the antecedents and consequences of e-shopping and usage behavior.Design/methodology/approach– The study tests 320 usable responses collected from e-shoppers against the integrated model using structural equation modeling.Findings– The main research results support the use of antecedents of e-shopping acceptance and usage by drawing from unified knowledge of IS and CB underpinnings. The findings show the significance of perceived value, social factors, perceived ease of use, perceived usefulness, entertainment gratification (EG), web irritation (WI), emotional state, and web atmospherics (WA) in the process of e-shopping.Practical implications– The results suggest that e-retailers should establish positive perceived value in consumers’ minds and uphold trust to foster favorable attitudes and intentions toward e-shopping and actual e-shopping purchase. Proper and good construction of WA can lead to useful and easy-to-use e-shopping sites, EG, and minimization of WI. Capitalizing on online social influences also would be an advantage.Originality/value– This paper bridges a gap in the studies of IS and CB, contributing to a more comprehensive understanding of the influence of IS and CB antecedents on acceptance and usage of e-shopping.
An exploratory study of product placement in social media
Authors: Liu Su-Houn , Chou Chen-Huei , Liao Hsiu-Li 
Published: March 2015

Purpose
– The purpose of this paper is to focus specifically on the examination of factors influencing the effectiveness of product placement in social media.

Design/methodology/approach
– Two field experiments were used to test research models and questions. In each experiment, random sampling was used to assign volunteers into groups, controlled by different experimental settings. Questionnaires were distributed to the volunteers in order to collect their attitude toward advertisement, brand impression, and intention to click the advertisement. Their browsing behavior was measured by click through rate, browse depth, and browsing time.

Findings
– The paper found that the effects of product placement conducts (product prominence and presentation) in social media are similar to the effects of product placement in other media. Also, a match between the vehicle and product would create deeper browsing depth and longer browsing time on the product web site. Product placement on a higher awareness vehicle would be more effective for marketing.

Originality/value
– This study makes its contribution in understanding the effectiveness of product placement in social media on delivering a marketing message. The results further highlight the importance of “integrating” the product placement content with its context and its vehicle.
Digital diplomatics and forensics: going forward on a global basis
Authors: Cohen Frederick B. 
Published: March 2015

Purpose
– The purpose of this study is to discuss moving forward on a global basis with digital diplomatics.

Design/methodology/approach
– This study fused a historic review of multiple fields to form a proposed future.

Findings
– Today, the metadata associated with digital record-keeping is largely based on the methods from the pre-digital age. It fails to take into account the underlying digital mechanisms and their unique properties. At the same time, digital systems already produce large quantities of redundant data that could be and has been used in consistency analysis. A rational improvement would be to use the nature of digital systems in conjunction with intentional redundancy to create metadata and other forms of redundant information that could be validated in diplomatic examination but would be hard to forge consistently by an internal act of alteration.

Originality/value
– This study uses a unique approach of fusing digital forensic science with digital diplomatics in the form of using inherent redundancy in digital records and metadata for consistency analysis as a means to fuse the fields.
Processing of metal-diamond-composites using selective laser melting
Authors: Spierings Adriaan Bernardus , Leinenbach Christian , Kenel Christoph , Wegener Konrad 
Published: March 2015

Purpose
– The purpose of this paper is a feasibility study that was performed to investigate the basic processability of a diamond-containing metal matrix. Powder-bed-based additive manufacturing processes such as selective laser melting (SLM) offer a huge degree of freedom, both in terms of part design and material options. In that respect, mixtures of different powders can offer new ways for the manufacture of materials with tailored properties for special applications such as metal-based cutting or grinding tools with incorporated hard phases.

Design/methodology/approach
– A two-step approach was used to first investigate the basic SLM-processability of a Cu-Sn-Ti-Zr alloy, which is usually used for the active brazing of ceramics and superhard materials. After the identification of a suitable processing window, the processing parameters were then applied to a mixture of this matrix material with 10-20 volume per cent artificial, Ni-coated mono-crystalline diamonds.

Findings
– Even though the processing parameters were not yet optimized, stable specimens out of the matrix material could be produced. Also, diamond-containing mixtures with the matrix material resulted in stable specimens, where the diamonds survived the layer-wise build process with the successive heat input, as almost no graphitization was observed. The diamond particles are fully embedded in the Cu-Sn-Ti-Zr matrix material. The outer part of the diamonds partly dissolves in the matrix during the SLM process, forming small TiC particles and most likely a thin TiC layer around the diamond particles.

Originality/value
– The feasibility study approved the SLM processing capabilities of a metal-diamond composite. Although some cracking phenomena sill occur, this seems to be an interesting and promising way to create new abrasive tools with added value in terms of internal and local lubrication supply, tooling temperature control and improved tooling durability.
Towards a sustainable and economic selection of part candidates for additive manufacturing
Authors: Lindemann Christian , Reiher Thomas , Jahnke Ulrich , Koch Rainer 
Published: March 2015

Purpose
– This paper aims to present a methodology to help end-users to find appropriate part candidates for the use of the additive manufacturing (AM) technology. These shall be capable of bringing AM into their businesses. The concept furthermore includes approaches for redesigning current available parts and helps to estimate the economic implications of the use of the technology.

Design/methodology/approach
– The approach starts to discuss general economic aspects for the successful use of AM. While describing the introduction of new technologies into existing businesses, the importance of an appropriate part selection for AM is pointed out. A methodology for a part selection process is presented, and the different criteria are developed. An approach for a redesign of the selected parts, including the gathering of requirements, is given based on different sample parts. A variation of criteria to include measures for product piracy is highlighted.

Findings
– The methodology has proven applicability in several research and industry projects in aerospace applications. Independent part selections from experts analyzed within a project of the European Space Agency had a 90 per cent overlap with the results. It allows companies with only basic AM knowledge to start a part screening for applicable AM candidates in their own company with a reasonable effort.

Originality/value
– The methodology for the redesign process helps to identify the main functions of the products targeted and the relevant environment, so one can benefit from the various advantages that AM has to offer. The selection methodology helps to ask the right questions and to reduce the effort.
Negative stiffness honeycombs for recoverable shock isolation
Authors: Correa Dixon M , Klatt Timothy , Cortes Sergio , Haberman Michael , Kovar Desiderio , Seepersad Carolyn 
Published: March 2015

Purpose
– The purpose of this paper is to study the behavior of negative stiffness beams when arranged in a honeycomb configuration and to compare the energy absorption capacity of these negative stiffness honeycombs with regular honeycombs of equivalent relative densities.

Design/methodology/approach
– A negative stiffness honeycomb is fabricated in nylon 11 using selective laser sintering. Its force-displacement behavior is simulated with finite element analysis and experimentally evaluated under quasi-static displacement loading. Similarly, a hexagonal honeycomb of equivalent relative density is also fabricated and tested. The energy absorbed for both specimens is computed from the resulting force-displacement curves. The beam geometry of the negative stiffness honeycomb is optimized for maximum energy absorption per unit mass of material.

Findings
– Negative stiffness honeycombs exhibit relatively large positive stiffness, followed by a region of plateau stress as the cell walls buckle, similar to regular hexagonal honeycombs, but unlike regular honeycombs, they demonstrate full recovery after compression. Representative specimens are found to absorb about 65 per cent of the energy incident on them. Optimizing the negative stiffness beam geometry can result in energy-absorbing capacities comparable to regular honeycombs of similar relative densities.

Research limitations/implications
– The honeycombs were subject to quasi-static displacement loading. To study shock isolation under impact loads, force-controlled loading is desirable. However, the energy absorption performance of the negative stiffness honeycombs is expected to improve under force-controlled conditions. Additional experimentation is needed to investigate the rate sensitivity of the force-displacement behavior of the negative stiffness honeycombs, and specimens with various geometries should be investigated.

Originality/value
– The findings of this study indicate that recoverable energy absorption is possible using negative stiffness honeycombs without sacrificing the high energy-absorbing capacity of regular honeycombs. The honeycombs can find usefulness in a number of unique applications requiring recoverable shock isolation, such as bumpers, helmets and other personal protection devices. A patent application has been filed for the negative stiffness honeycomb design.
Analysis of suitable modulation scheme for compressive sensing algorithm in wireless sensor network
Authors: Chakraborty Parnasree , Tharini C. 
Published: March 2015

Purpose
– The purpose of this paper is to find out the use of compressive sensing (CS) algorithm for wireless sensor networks (WSNs). As energy-efficient algorithms are required for WSNs, CS is very much useful as less than 25 per cent of the entire input data alone is required to be transmitted, and reconstruction at the receiver with this reduced data set is of good quality. But, the usefulness of the algorithm with suitable modulation schemes is not analyzed so far in the literature. Hence, this work concentrated on the algorithm performance with different modulation schemes and different channel conditions.

Design/methodology/approach
– Compressive sensing encoding is performed by using suitable transform on the input signal. Here, DCT and DWT are used to generate the sparse signal. Random measurement matrix is used to generate the compressed output, which is reconstructed using the Basis Pursuit (BP) method. Also, an analysis for the energy-efficient modulation scheme is performed by modulating the compressed output using QPSK/BPSK/QAM and transmitted by considering the Gaussian and Rayleigh Channels. Energy required per bit transmission is modeled and computed for different schemes.

Findings
– Simulation result shows that the use of CS algorithm for data compression tremendously reduces the number of transmission bits and, hence, enhances the transmission and bandwidth efficiency in WSN. Results show that DWT is a much suitable transform to be used for sparse measurement generation. In comparison with DCT, DWT is computationally simple and takes very less time, which is expected in real-time application. The reconstruction result shows that about 25 per cent of the data sample is sufficient to recover the original image, perhaps which is the most surprising result. An extensive analysis of various modulation schemes based on the energy model shows that QPSK is in the AWGN channel, and QAM modulation in the Rayleigh channel is a much suitable modulation scheme to be used in WSN for further reduction of energy consumption.

Originality/value
– Compressive sensing is recently gaining importance for quantization, compression and noise removal in images. In this paper, this technique was used along with modulation schemes to analyze the suitability of the algorithm for WSN.
Detecting gases with light: a review of optical gas sensor technologies
Authors: Bogue Robert 
Published: March 2015

Purpose
– This paper aims to provide details of the major optical gas sensing techniques and their applications.

Design/methodology/approach
– Following an introduction, this paper first identifies the major gas sensing technologies and provides an overview of optical sensing techniques. The sources and impact of the gases most frequently sensed by optical methods are listed. Three non-absorption-based and nine absorption-based methods and their main applications are then described in detail. Brief concluding comments are drawn.

Findings
– All manner of optical gas sensing techniques have been commercialised and while the majority are absorption-based, several other methods also play a significant role. Some optical gas sensors offer advanced capabilities such as remote monitoring, the creation of 2D and 3D distribution maps, detection of parts per trillion levels and even the visualisation of gases in real time. They play a vital role in protecting workers from hazardous gases, controlling and minimising air pollution and monitoring the atmospheric environment, as well as being used in the food, medical, process, power generation and other industries.

Originality/value
– This paper provides a detailed insight into optical gas sensing techniques and their uses.
Film thickness planar sensor in oil-water flow: prospective study
Authors: Bonilla Riaño Adriana , Bannwart Antonio Carlos , Rodriguez Oscar M.H. 
Published: March 2015

Purpose
– The purpose of this paper is to study a multiphase-flow instrumentation for film thickness measurement, especially impedance-based, not only for gas–liquid flow but also for mixtures of immiscible and more viscous substances such as oil and water. Conductance and capacitive planar sensors were compared to select the most suitable option for oil – water dispersed flow.

Design/methodology/approach
– A study of techniques for measurement of film thickness in oil – water pipe flow is presented. In the first part, some measurement techniques used for the investigation of multiphase flows are described, with their advantages and disadvantages. Next, examinations of conductive and capacitive techniques with planar sensors are presented.

Findings
– Film thickness measurement techniques for oil–water flow are scanty in the literature. Some techniques have been used in studies of annular flow (gas–liquid and liquid–liquid flows), but applications in other flow patterns were not encountered. The methods based on conductive or capacitive measurements and planar sensor are promising solutions for measuring time-averaged film thicknesses in oil–water flows. A capacitive system may be more appropriate for oil–water flows.

Originality/value
– This paper provides a review of film thickness measurements in pipes. There are many reviews on gas – liquid flow measurement but not many about liquid – liquid flow.