bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of product originality and supply chain structure on market share in the pharmaceutical industry
Authors: Göllü Emre 
Published: April 2017

Purpose
The purpose of this paper is to investigate the impact of supply chain structure on market share and the differences between supply chain structures and market shares of companies in terms of product originality in the pharmaceutical industry.

Design/methodology/approach
In the design of this research, survey methodology was selected to collect the data. Convenience sampling technique and, as data collection instrument, a questionnaire including dichotomous scales were utilized.

Findings
Obtained results showed that supply chain structures of pharmaceutical companies in Turkey have a significant impact on their market shares. Other results indicate that there are significant differences between both supply chain structures and market shares in terms of product originality.

Research limitations/implications
There are three limitations, namely, the study focused on only one sector, convenience sampling method was used in conjunction with Pareto approach and the study encompasses Turkey only.

Practical implications
Practitioners will benefit from this study through conceptualizing the impact of supply chain structure on market share and the relationships between these both and product originality in terms of creating competitive advantage.

Originality/value
The importance of this study lies on the investigation of supply chain structure with its impact on market share from supply chain management perspective and on the combination of the relationships between these both constructs and product originality as from management perspective in the pharmaceutical industry as first time.
Thinking about fair balance: how prescription drug advertising disclosure prominence works?
Authors: Ju Ilwoo 
Published: April 2017

Purpose
The purpose of the study was to examine the effects of prescription drug advertising health risk disclosure prominence and the mediating role of introspective message attention.

Design/methodology/approach
An experiment was conducted to test varying levels of health risk disclosure prominence in prescription drug advertising (high vs low).

Findings
The results showed that a more prominent health risk disclosure than a less prominent one enhanced introspective message attention, risk knowledge and risk perception of the drug’s side effects. In addition, the introspective attention mediated the health risk disclosure effects on risk knowledge and risk perception.

Research limitations/implications
The artificial experimental setting should be considered. In addition, various therapeutic categories and health risk disclosure formats need to be examined.

Practical implications
To ensure fair balance in prescription drug advertising, message designers should present a sufficient level of health risk disclosure prominence.

Social implications
To encourage consumers to make informed prescription drug decisions, health risk information provided through prescription drug advertising may be important. Health-marketing promotional messages should address fair balance by considering health risk disclosure prominence.

Originality/value
Although the FDA has issued its risk communication guidance draft for pharmaceutical manufacturers to ensure fair balance between benefit and risk information in pharmaceutical promotion, little empirical research has been conducted to test the health risk disclosure prominence effects on consumers’ health-related perception about the drug. This study fills the gap in the literature.
The library computer lab transforms into a “thinking lab”
Authors: Massis Bruce E. 
Published: April 2017

Purpose
The purpose of this column is to examine the process for the transition of library computer labs into “thinking labs”, where existing library workstation space can be reallocated to provide more flexibility, freedom and creativity for the library patron.

Design/methodology/approach
Literature review and commentary on this topic that has been addressed by professionals, researchers and practitioners.

Findings
The transition of library computer labs into “thinking labs” is an initiative where library planners can experiment with ideas and concepts in library design to provide the most effective user experience through a “fresh perspective”.

Originality/value
The value in exploring this topic is to propose that library planners and designers create space unlike traditional designs to provide patrons with a more transformative thinking, learning and creative library experience.
Compulsive mobile application usage and technostress: the role of personality traits
Authors: Hsiao Kuo-Lun 
Published: April 2017

Purpose
Compulsive usage of mobile applications may have a negative effect on people’s health and social interaction. Past studies have indicated that personality traits were related to compulsive usage of technologies, but most of them have explored the factors from the system and interface design perspectives, specifically. The purpose of this paper is to explore how the Big Five personality traits, materialism, and external locus of control affect compulsive mobile application usage, and examines how compulsive usage impacts technostress.

Design/methodology/approach
The present study proposes a framework based on Big Five personality traits and related literature. The author collected a total of 546 valid responses to the online survey, and the author examined the 18 proposed hypotheses using SmartPLS software.

Findings
The results show that neuroticism, extraversion, materialism, and external locus of control have significant effects on compulsive usage of mobile social applications. In addition, agreeableness, materialism, and external locus of control significantly influence compulsive usage of mobile game applications. Compulsive usage (of both mobile social apps and mobile games), materialism, and external locus of control all have a positive, direct impact on technostress.

Practical implications
This study offers mobile app design companies and educational institutions a understanding of the social problems caused by the misuse of mobile devices, helping them to prevent the increase of the negative influences of such misuse.

Originality/value
The primary value of this paper lies in providing a better understanding of the influence of personality traits on the compulsive use of mobile apps and technostress.
Measuring vocabulary use in the Linked Data Cloud
Authors: Nogales Alberto , Angel Sicilia-Urban Miguel , García-Barriocanal Elena 
Published: April 2017

Purpose
This paper reports on a quantitative study of data gathered from the Linked Open Vocabularies (LOV) catalogue, including the use of network analysis and metrics. The purpose of this paper is to gain insights into the structure of LOV and the use of vocabularies in the Web of Data. It is important to note that not all the vocabularies in it are registered in LOV. Given the de-centralised and collaborative nature of the use and adoption of these vocabularies, the results of the study can be used to identify emergent important vocabularies that are shaping the Web of Data.

Design/methodology/approach
The methodology is based on an analytical approach to a data set that captures a complete snapshot of the LOV catalogue dated April 2014. An initial analysis of the data is presented in order to obtain insights into the characteristics of the vocabularies found in LOV. This is followed by an analysis of the use of Vocabulary of a Friend properties that describe relations among vocabularies. Finally, the study is complemented with an analysis of the usage of the different vocabularies, and concludes by proposing a number of metrics.

Findings
The most relevant insight is that unsurprisingly the vocabularies with more presence are those used to model Semantic Web data, such as Resource Description Framework, RDF Schema and OWL, as well as broadly used standards as Simple Knowledge Organization System, DCTERMS and DCE. It was also discovered that the most used language is English and the vocabularies are not considered to be highly specialised in a field. Also, there is not a dominant scope of the vocabularies. Regarding the structural analysis, it is concluded that LOV is a heterogeneous network.

Originality/value
The paper provides an empirical analysis of the structure of LOV and the relations between its vocabularies, together with some metrics that may be of help to determine the important vocabularies from a practical perspective. The results are of interest for a better understanding of the evolution and dynamics of the Web of Data, and for applications that attempt to retrieve data in the Linked Data Cloud. These applications can benefit from the insights into the important vocabularies to be supported and the value added when mapping between and using the vocabularies.
Disciplinary differences in altmetrics for social sciences
Authors: Htoo Tint Hla Hla , Na Jin-Cheon 
Published: April 2017

PurposeThe purpose of this paper is to contribute to the understanding of altmetrics in different disciplines of social science: first, by investigating the current richness and future potential of altmetrics in the selected social science disciplines and then by evaluating the validity of altmetrics as indicators of research impact in each discipline through correlation analysis.Design/methodology/approachThis study uses three approaches to understand the current richness and future potential of ten altmetric measures in nine selected disciplines: first, investigate the distribution and trend of altmetric data; second, verify the relationship between citation rate and altmetric presence of the discipline using Pearson correlation; and third, perform word frequency analysis on tweets to understand different altmetric presence in different disciplines. In addition, this study uses Spearman and sign test to find the correlation between altmetrics and citation counts for the articles that receive altmetric mention(s) to test the validity of altmetrics as indicators of research impact.FindingsThere is a steady increase in the number of articles that receive altmetric mentions in all disciplines studied. In general, disciplines with higher citation rates have higher altmetric presence. At the same time, altmetrics are also an effective complement to citation in disciplines with low citation rates. There is a moderate correlation with Mendeley and significant but weak correlations with Tweets and CiteULike in seven disciplines. Altmetrics appear effective as a predictor of citation counts in seven out of nine disciplines studied. However, there is low presence and lack of correlation with citation count in business-finance and law disciplines.Originality/valueThis paper furthers the understanding of altmetrics in social science disciplines. It reveals the disciplines where altmetrics are most effective, potentially useful, and fairly applicable. In addition, it presents evidence that altmetrics are an effective complement to citation in disciplines with low citation rates.
A comparative study of the impact of Korean research articles in four academic fields using altmetrics
Authors: Cho Jane 
Published: April 2017

Purpose
Alternative metrics (altmetrics) are non-traditional metrics to measure the social impact of research results, which were unable to be assessed by the previous methods, by calculating how research results are reflected in various social media. The purpose of this paper is to measure and compare the impact of Korean study results in four fields that were published in international journals using altmetrics.

Design/methodology/approach
This study analysed the impact of 383 Korean research articles published by international journals in the field of medical science, engineering, social science and arts and humanities through altmetrics and compared it with bibliometrics.

Findings
As a result, the frequency of research articles which are “discussed” through social media such as Twitter was shown to be highest in the medical science than in other fields. In addition, the frequency of research articles which were “saved” through reference management tool such as Mendeley was shown to be higher in the social science and the arts and humanities than in other fields. Furthermore, as a result of a correlation analysis between altmetrics and bibliometrics, it is found that there exists a positive correlation between the number of articles which were “saved” in Mendeley and “cited” in follow-up studies.

Originality/value
This study examined the impact of the articles originating in non-English-speaking nations; it could be referred by other non-English-speaking nations that are trying to identify invisible impact of their research output on global society. By finding the academic field which are receiving special attention from global community using altmetrics, researchers could prospect country’s overall research impact and utilize it to make a future R&D plan.
Constructing a sentiment analysis model for LibQUAL+ comments
Authors: Moore Michael Thomas 
Published: April 2017

Purpose
The purpose of this paper is to establish a data mining model for performing sentiment analysis on open-ended qualitative LibQUAL+ comments, providing a further method for year-to-year comparison of user satisfaction, both of the library as a whole and individual topics.

Design/methodology/approach
A training set of 514 comments, selected at random from five LibQUAL+ survey responses, was manually reviewed and labeled as having a positive or negative sentiment. Using the open-source RapidMiner data mining platform, those comments provided the framework for creating library-specific positive and negative word vectors to power the sentiment analysis model. A further process was created to help isolate individual topics within the larger comments, allowing for more nuanced sentiment analysis.

Findings
Applied to LibQUAL+ comments for a Canadian mid-sized academic research library, the model suggested a fairly even distribution of positive and negative sentiment in overall comments. When filtering comments into affect of service, information control and library as place, the three dimensions’ relative polarity mirrored the results of the quantitative LibQUAL+ questions, with highest scores for affect of service and lowest for library as place.

Practical implications
The sentiment analysis model provides a complementary tool to the LibQUAL+ quantitative results, allowing for simple, time-efficient, year-to-year analysis of open-ended comments. Furthermore, the process provides the means to isolate specific topics based on specified keywords, allowing individual institutions to tailor results for more in-depth analysis.

Originality/value
To best account for library-specific terminology and phrasing, the sentiment model was created using LibQUAL+ open-ended comments as the foundation for the sentiment model’s classification process. The process also allows individual topics, chosen to meet individual library needs, to be isolated and independently analyzed, providing more precise examination.
Bibliometrics and altmetrics literature review
Authors: Karanatsiou Dimitra , Misirlis Nikolaos , Vlachopoulou Maro 
Published: April 2017

Purpose
The purpose of this paper is to present the evolution in notions from bibliometrics to altmetrics and confront them taking into consideration specific criteria. The objective of this paper is to present the evolution of research, regarding the above fields, the study of metrics and indicators used, and the strength and weaknesses resulting from the current literature. Furthermore, the authors present the manipulation techniques for both fields as their main weakness, as well as further key points, analyzing the alternative options of bibliometrics and altmetrics.

Design/methodology/approach
First, the authors present the evolution of the literature, concerning the specific field and metrics used, following with a brief description of basic indicators related to the field of bibliometrics (journal impact factor (JIF), eigenfactor, article influence score and h-index) discussing their advantages and disadvantages. In the second part, the authors describe altmetrics and present the differences with bibliometrics.

Findings
Both bibliometrics and altmetrics remain weak indicators as fraught with disadvantages with manipulation being the greatest of all. Nevertheless, the combination of the two is proposed in order to export safer conclusions on assessing the impact. Regarding the manipulation there is yet not a clean technique to eliminate manipulation. In specific, regarding bibliometrics, the manipulation of indicators refers only to the human factor intervention. The theoretical implication of this study constitutes of collecting the relevant literature regarding scientific indicators.

Research limitations/implications
We must consider the study of new indicators, which combine metrics and methodologies used in both bibliometrics and altmetrics. The theoretical implication of this study constitutes of collecting the relevant literature regarding scientific indicators. Therefore, researchers are encouraged to test the proposed propositions further.

Practical implications
The practical contribution, on the other side, provides scholars with the knowledge of how making their work more accessible, increasing their impact.

Originality/value
The authors add to the originality by providing a framework of the relevant literature for bibliometrics and altmetrics for future researchers. The authors describe altmetrics and present the differences with bibliometrics. The authors conclude the research with the implications of the conducted analysis and the potential directions for future research. Regarding manipulation, the authors provide with the techniques so researchers are aware of the methods in order to protect their academic profile.
Ultrasonic attenuation of pure tetrahydrofuran hydrate
Authors: Pohl Mathias , Prasad Manika , Batzle Michael L. 
Published: April 2017

ABSTRACTImproved estimates of the amount of subsurface gas hydrates are needed for natural resource, geohazard, and climate impact assessments. To evaluate gas hydrate saturation from seismic methods, the properties of pure gas hydrates need to be known. Whereas the properties of sediments, specifically sands, and hydrate‐bearing sediments are well studied, the properties of pure hydrates are largely unknown. Hence, we present laboratory ultrasonic P‐wave velocity and attenuation measurements on pure tetrahydrofuran hydrates as they form with reducing temperatures from 25°C to 1°C under atmospheric pressure conditions. Tetrahydrofuran hydrates, with structure II symmetry, are considered as proxies for the structure I methane hydrates because both have similar effects on elastic properties of hydrate‐bearing sediments. We find that although velocity increased, the waveform frequency content and amplitude decreased after the hydrate formation reaction was complete, indicating an increase in P‐wave attenuation after hydrate formation. When the tetrahydrofuran hydrate was cooled below the freezing point of water, velocity and quality factor increased. Nuclear Magnetic Resonance results indicate the presence of water in the “pure hydrate” samples above the water freezing point, but none below. The presence of liquid water between hydrate grains most likely causes heightened attenuation in tetrahydrofuran hydrates above the freezing point of water. In naturally occurring hydrates, a similarly high attenuation might relate to the presence of water.
Optimising the spatial planning of prescribed burns to achieve multiple objectives in a fire‐dependent ecosystem
Authors: Williams Brooke A. , Shoo Luke P. , Wilson Kerrie A. , Beyer Hawthorne L. 
Published: April 2017

SummaryThere is potential for negative consequences for the ecological integrity of fire‐dependent ecosystems as a result of inappropriate fire regimes. This can occur when asset (property) protection is prioritised over conservation objectives in burn programs.Optimisation of fire management for multiple objectives is rarely undertaken. Here, we use integer linear programming to identify burn scheduling solutions that will cost‐effectively achieve asset protection and conservation objectives.An approach to burn scheduling that favours a risk‐averse asset protection strategy results in poor conservation outcomes. Conversely, a conservation‐focused approach achieves only modest asset protection benefits. However, when formulated as a multi‐objective problem, good conservation outcomes can be realised with only a small reduction in potential benefits for asset protection.A conservation‐focused approach resulted in substantially more heterogeneity in burns at multiple spatial scales and a marked reduction in mean time since fire among all forest patches relative to an asset protection scenario. This increase in heterogeneity improves ecological integrity, while the resulting reduction in fuel load is beneficial for asset protection.Synthesis and applications. Mathematical optimisation is a powerful framework for informing fire management that improves the prioritisation and scheduling of controlled burns to efficiently achieve management objectives. By quantifying the trade‐offs that exist between the two competing objectives of conservation and asset protection, we demonstrate that compromise solutions can be identified that achieve good outcomes for both objectives. In a transparent and equitable manner, we show that conservation value may be improved within a fire‐dependent ecosystem with only modest concession to asset protection performance. Explicitly evaluating trade‐offs among competing objectives enables managers to identify potentially undesirable outcomes, and facilitate development of preferred solutions. Heterogeneous burning under the auspices of conservation also has the potential to reduce overall fuel loads within the ecosystem and thus its value for asset protection is likely underappreciated.
Student perspectives of a Student‐Led Groups Program model of professional practice education in a brain injury rehabilitation unit
Authors: Patterson Freyr , Fleming Jennifer , Marshall Kathryn , Ninness Nadine 
Published: April 2017

Background/aimProfessional practice education is a core and essential component of occupational therapy training. With increasing numbers of education programmes and more students requiring professional practice placements, development of innovative models of professional practice education has emerged, but these require investigation. The aim of this study was to investigate student experiences and perceptions of the Student‐Led Groups Program model of professional practice education in an inpatient brain injury rehabilitation unit.MethodsA qualitative approach, guided by phenomenological theory was used. Participants were 15 students who had completed a professional practice placement in the Student‐Led Groups Program. Data were collected using in‐depth semi‐structured interviews and analysed thematically.ResultsThree over‐arching themes emerged from the data; balance of support and freedom, development of clinical skills and missed opportunities. Students described how the structure of the placement facilitated independent learning and autonomy that was balanced with support from clinicians and student peers. Students perceived that they had developed a breadth of clinical skills and also had missed some learning opportunities in this professional practice placement structure.ConclusionsOverall student perceptions of the Student‐Led Groups Program were positive, supporting the continued use of this model of professional practice education in this setting. The results highlight the value of structured and consistent approaches for supervision, including the use of formal approaches to peer supervision in the initial stages of learning.