bluuebunny/crossref_metadata_2025_split huggingface dataset:
Publication lag and early view effects in information science journals
Authors: Al Umut , Soydal Irem 
Published: May 2017

Purpose
A major problem in today’s scholarly publishing process is the long tails for the assignment of volume and issue numbers for approved articles. The purpose of this paper is to investigate the extent to which information science journals offer early view features and the effects of these features.

Design/methodology/approach
The study addresses three basic questions: Do the articles approved for publication in information science journals appear in the online platforms of these journals before the assignment of volume and issue numbers? How long do the articles wait in the online platforms before they get the volume and issue numbers? Is there a statistically significant relationship between the online accessing numbers of the articles before they are published and bibliometric indicators?

Findings
More than half of the information science journals complete the editorial process in reasonable durations and share new articles with their readers before publishing them. In some journals, there are articles that wait for more than a year to be assigned volume and issue numbers after the completion of the editorial process. There are statistically significant differences, in terms of both their impact factor and immediacy index values, between the journals that offer early view features and those that do not. Both the impact factor and the immediacy index values of the journals that provide early view are higher than the others.

Practical implications
Adopting the early view policy may significantly help increase the impact factor and immediacy index values of the journals, as well as the visibility of their contents

Originality/value
The answers to this study’s research questions offer a new perspective to overcome the challenges in the processes through which scientific products meet with their users.
An extensive study of authorship authentication of Arabic articles
Authors: Al-Ayyoub Mahmoud , Alwajeeh Ahmed , Hmeidi Ismail 
Published: May 2017

Purpose
The authorship authentication (AA) problem is concerned with correctly attributing a text document to its corresponding author. Historically, this problem has been the focus of various studies focusing on the intuitive idea that each author has a unique style that can be captured using stylometric features (SF). Another approach to this problem, known as the bag-of-words (BOW) approach, uses keywords occurrences/frequencies in each document to identify its author. Unlike the first one, this approach is more language-independent. This paper aims to study and compare both approaches focusing on the Arabic language which is still largely understudied despite its importance.

Design/methodology/approach
Being a supervised learning problem, the authors start by collecting a very large data set of Arabic documents to be used for training and testing purposes. For the SF approach, they compute hundreds of SF, whereas, for the BOW approach, the popular term frequency-inverse document frequency technique is used. Both approaches are compared under various settings.

Findings
The results show that the SF approach, which is much cheaper to train, can generate more accurate results under most settings.

Practical implications
Numerous advantages of efficiently solving the AA problem are obtained in different fields of academia as well as the industry including literature, security, forensics, electronic markets and trading, etc. Another practical implication of this work is the public release of its sources. Specifically, some of the SF can be very useful for other problems such as sentiment analysis.

Originality/value
This is the first study of its kind to compare the SF and BOW approaches for authorship analysis of Arabic articles. Moreover, many of the computed SF are novel, while other features are inspired by the literature. As SF are language-dependent and most existing papers focus on English, extra effort must be invested to adapt such features to Arabic text.
Your social network profile reveals you
Authors: Sander Tom , Teh Phoey Lee , Sloka Biruta 
Published: May 2017

Purpose
This study aims to evaluate the fears of individuals on their profiles’ sharing in social network sites (SNSs), regarding its advantages and disadvantages. The researched issues are related with the employment seeking process. The concern of this study is the deviation observation between the fears acquired by the business and private social media members.

Design/methodology/approach
This study included an online survey with 236 respondents and calculated indicators of central tendency or location parameter, correlation coefficients and performed analysis of variance.

Findings
The result indicated and revealed the hidden danger and opportunities among social network members’ profile. This result addressed the need to consider the issue of user’s fears in reengineering the practical use of SNSs by organisations.

Research limitations/implications
Interesting for further research would be to transfer this research from the employment seeking process in other research fields to generalise the results more accurately.

Originality/value
The contribution to the research field is to compare different SNSs and to explain the reasons to use SNS profiles to support organisations by their decisions for a valuable strategy. This study provides an insight in use and behaviour of SNS members that support researchers to understand the behaviour of SNS members regarding their profile under consideration of the employment seeking process.
Organizational mimesis and the emergence of industry superannuation in Australia
Authors: Mees Bernard 
Published: May 2017

Purpose
The purpose of this paper is to analyse the emergence of organizational isomorphism in the industry superannuation sector in Australia. The largest not-for-profit private businesses in the country, the industry funds were created in the 1980s in light of a broader union campaign to extend occupational retirement savings provision to all employees in Australia.

Design/methodology/approach
The emergence of organizational isomorphism among the industry funds is assessed from the perspective of institutional theory. The study is based on interviews with key players in the establishment of the industry superannuation sector, original archival research as well as contemporary public commentaries and more recent historical assessments.

Findings
The tripartite framework of institutional isomorphism established by DiMaggio and Powell is unable to explain the emergence of the widespread organizational isomorphism found in industry superannuation. Using the more recent notion of institutional logics allows a more satisfactory explanation for the convergence in models of retirement-savings provision in the industry superannuation sector.

Originality/value
Organizational isomorphism cannot be described simply in terms of a tripartite framework of professional normativity, state coercion and market-based mimesis. Alternatively governed organizations such as those created by trade unions may develop in a different manner than social enterprises founded by less powerful social actors.
Distressed Chinese firm prediction with discretized data
Authors: Huang Jun , Wang Haibo , Kochenberger Gary 
Published: May 2017

PurposeThe authors develop a framework to build an early warning mechanism in detecting financial deterioration of Chinese companies. Many studies in the financial distress and bankruptcy prediction literature rarely do they examine the impact of pre-processing financial indicators on the prediction performance. The purpose of this paper is to address this shortcoming.Design/methodology/approachThe proposed framework is evaluated by using both original and discretized data, and a least absolute shrinkage and selection operator (LASSO) selection technique for choosing an appropriate subset of financial ratios for improved predictive performance. The financial ratios are then analyzed by five different data mining techniques. Managerial insights, using data from Chinese companies, are revealed by the methodology employed.FindingsThe prediction accuracy increases after we discretized the continuous variables of financial ratios. A better prediction performance can be achieved by including fewer, but relatively more significant variables. Random forest has the highest overall performance following closely by SVM and neural network.Originality/valueThe contribution of this study is fourfold. First, the authors add to the literature on defaults by showing variable discretization to be an essential pre-processing step to improve the prediction performance for classification problems. Second, the authors demonstrate that machine learning approaches can achieve better performance than traditional statistical methods in classification tasks. Third, the authors provide the evidence for the adoption of C5.0 over other methods because rules generated with C5.0 provide managerial insights for managers. Finally, the authors demonstrate the effectiveness of the LASSO technique for identifying the most important financial ratios from each category, enabling one to build better predictive models.
The reference effect in newsvendor model with strategic customers
Authors: Liu Jiaming , Wu Chong , Su Tianyi 
Published: May 2017

Purpose
The purpose of this paper is to discuss the role of reference effect on newsvendor’s decision behavior in a market with strategic customers and work out the newsvendor’s optimal pricing policy and ordering quantity.

Design/methodology/approach
This study utilizes the prospect theory and strategic customer framework to analyze the decision-making behavior on the newsvendor’s optimal pricing policy and ordering quantity. The paper further presents an extension of newsvendor model and provides the model’s properties. The paper finally analyzes the results with various parameters on the model and reports on the insights generated by the model.

Findings
The paper indicates that the ordering quantity is not altered with the changing proportion of strategic customers and myopic customers, but the ordering quantity and the pricing strategy are influenced in terms of newsvendor’s reference effect, loss aversion, product cost, and salvage price.

Practical implications
The research findings have important implications for decision makers. Previous researches have studied the incomplete rationality newsvendor’s decision-making behavior mainly by analyzing the vendor’s risk preferences or loss aversion, but the effect of reference point also plays an important role in analyzing the decision-maker’s behavior. The paper provides the optimal pricing policy and ordering quantity with the reference effect considering the strategic customers behavior. This model is also a valid complementarity to behavioral operations management research area.

Originality/value
The paper examines the role of reference effect in newsvendor problem with the strategic customers and analyzes the impact of parameters such as loss aversion on the newsvendor’s decision behavior.
Alliance success factors and performance in social economy enterprises
Authors: Bastida Ramon , Marimon Frederic , Tanganelli David 
Published: May 2017

Purpose
Establishing alliances between social economy enterprises (SEEs) is considered to be a solution to the problem of providing enough resources and knowledge to compete in the global market and, at the same time, to maintain identity and ownership. Nevertheless, an important number of alliances breaks up after several years. Therefore, the purpose of this paper is to study the key factors that affect alliances’ development and outcome. In this study, the success factors that have been extensively tested in investor-owned companies are assessed in SEEs, which present important differences in organizational issues and corporate principles and values.

Design/methodology/approach
This study defines a scale that includes the most important factors that might be controlled by SEE managers to develop successful alliances. These factors are grouped into three categories: relational capital, relationship governance and the partner selection process. The study also assesses the impact of these factors on alliance performance.

Findings
Statistical analysis through structural equation modelling shows that relationship governance and the partner selection process have a significant impact on performance. Therefore, they can be considered success factors in alliances among SEEs.

Originality/value
Taking into account the relevant contribution of the SEEs to the European economy, and having noted the scarce number of studies about alliances success factors in the social economy sector, this study offers a significant contribution to this research field. Moreover, findings will be also interesting for SEE managers and social economy authorities when designing programmes to empower and support alliances.
Determinants of bank margins in a dual banking system
Authors: Lee Siew Peng , Isa Mansor 
Published: May 2017

Purpose
The purpose of this paper is to determine of bank margins for conventional and Islamic banks in the dual banking system in Malaysia.

Design/methodology/approach
The study uses unbalanced panel data for 20 conventional banks and 16 Islamic banks over the period 2008-2014. The dynamic two-step GMM estimator technique introduced by Arellano and Bond (1991) is applied.

Findings
The results suggest that there are significant similarities with minor differences in terms of factors determining bank margins between conventional and Islamic banks in Malaysia. The margins for conventional banks are influenced by operating costs, efficiency, credit risk, degree of risk aversion, market share, size of operation, implicit interest payments and funding costs. For Islamic banks, the margin determinants are found to be operating costs, efficiency, credit risk, market share and implicit interest payments. This means that more factors influence the margins in conventional banks compared to Islamic banks. Although bank diversification activities have increased in recent years, their impact on bank margins is minimal.

Practical implications
The results suggest that improving operational costs, operational efficiency and credit risk management, and minimising implicit interest payments would be the best strategy to enhance the bank margins for both conventional and Islamic banks. The results also have important policy implications on the necessity to expand the size of Islamic banking in Malaysia.

Originality/value
There are relatively few studies concerning determinants of bank margins in emerging markets. The present study adds to the literature by presenting evidence from Malaysia, an emerging market with a dual banking system. This allows us to explore the similarities and differences between conventional and Islamic banks in Malaysia in respect of determinants of the margins.
Queering methodologies and organizational research: disrupting, critiquing, and exploring
Authors: McDonald James 
Published: May 2017

Purpose
The purpose of this paper is to explore the methodological implications of queering organizational research. The author examines three related questions: what does queering organizational research entail?; how have organizational scholars queered research to date?; and how does queering organizational research and methodologies advance our understandings of organizing processes?

Design/methodology/approach
The paper begins with an overview of queer theory, which is followed by a review of the ways in which organizational research and methodologies have been and can be queered. The paper concludes with a discussion of the value of queering organizational research and methodologies and offers research questions that can guide future research that draws from queer theory.

Findings
The author claims that methodologies are queered through a researcher’s commitment to enacting the philosophical assumptions of queer theory in a research project. Much of the value of queering methodologies lies in its disruption and critique of conventional research practices, while enabling us to explore new ways of understanding organizational life.

Originality/value
Queer theory is still nascent but growing in organizational research. To date, there has been little consideration of the methodological implications of queering organizational research. This paper discusses these implications and can thus guide future research that is informed by queer theory.
Silicon‐induced root nodulation and synthesis of essential amino acids in a legume is associated with higher herbivore abundance
Authors: Johnson Scott N. , Hartley Susan E. , Ryalls James M. W. , Frew Adam , DeGabriel Jane L. , Duncan Michael , Gherlenda Andrew N. 
Published: May 2017

Summary

Ecologists have become increasingly aware that silicon uptake by plants, especially the Poaceae, can have beneficial effects on both plant growth and herbivore defence. The effects of silicon on other plant functional groups, such as nitrogen‐fixing legumes, have been less well studied. Silicon could, however, indirectly promote herbivore performance in this group if reported increases in N2 fixation caused improvements in host plant quality for herbivores.

We tested how silicon supplementation in the legume (Medicago sativa) affected plant growth rates, root nodulation and foliage quality (silicon content and amino acid profiles) for an insect herbivore (Acyrthosiphon pisum).

Plants supplemented with silicon (Si+) grew three times as quickly as those without supplementation (Si−), almost entirely in shoot mass. While root growth was unaffected by silicon uptake, root nodules containing nitrogen‐fixing bacteria were 44% more abundant on Si+ plants. Aphid abundance was twice as high on Si+ plants compared to Si− plants and was positively correlated with silicon‐stimulated plant growth.

Si+ plants accumulated more than twice as much silicon as Si− plants, but did not have higher silicon concentrations because of dilution effects linked to the rapid growth of Si+ plants. Si+ plants showed a 65% increase in synthesis of essential foliar amino acids, probably due to increased levels of root nodulation.

These results suggest that increased silicon supply makes M. sativa more susceptible to A. pisum, mainly because of increased plant growth and resource availability (i.e. essential amino acids). While silicon augmentation of the Poaceae frequently improves herbivore defence, the current study illustrates that this cannot be assumed for other plant families where the beneficial effects of silicon on plant growth and nutrition may promote herbivore performance in some instances.

A lay summary is available for this article.
Are food web structures well represented in isotopic spaces?
Authors: Jabot Franck , Giraldo Carolina , Lefebvre Sébastien , Dubois Stanislas 
Published: May 2017

Summary

Isotopic analyses are increasingly used to assess the structure of food webs and a series of isotopic functional indices have been proposed in the last decade to characterize this structure. These indices are based on the foundational assumption that proximity in the isotopic space informs on trophic similarity between species. While it has been recognized for long that this simplifying assumption should be used with caution, no formal evaluation of its domain of validity has been performed to date.

We here simulate a large number (15 000) of food webs with varying characteristics to assess (i) whether isotopic distance is a good proxy of trophic dissimilarity; (ii) whether isotopic functional indices are good proxies of trophic functional properties; and (iii) how the quality of these two proxies depend on various species and food web properties.

We first demonstrate that isotopic distance is moderately correlated with trophic similarity in simulated food webs. We find, however, that two isotopic community metrics investigated (Rao's index of functional divergence and nearest neighbour distance index of functional originality) are good indicators of community trophic structure, especially in food webs with large connectance, and when predators have low levels of diet specialization.

We also find that isotopic functional indices are decreasingly reliable as they aim at characterizing more subtle functional patterns (such as standard deviation of nearest neighbour distance, an index of between species variation in originality).

Taken together, our results suggest that the reliability of the isotopic mapping of consumers decreases with their number of potential prey species, but increases with their number of realized prey species. Consequently, isotopic reliability decreases in species‐rich food webs with low connectance, large vertical diversity and large incidence of omnivory.

Our study highlights that researchers should not hope to grasp subtle patterns of food web structure based solely on widely used isotopic indices. They should instead envisage mobilizing such isotopic information in combination with complementary data types.

A lay summary is available for this article.
Pathophysiology and therapeutics of premature ageing in chronic kidney disease, with a focus on glycative stress
Authors: Hirakawa Yosuke , Jao Tzu‐Ming , Inagi Reiko 
Published: May 2017

SummaryChronic kidney disease (CKD) is a major concern in public health. The pathology of CKD includes premature ageing in the kidney and vessels, which results in a high risk of cardiovascular events and end‐stage renal disease. Many factors are involved in premature ageing in CKD, including hormonal imbalance, glycative stress, nitrogenous metabolites, and oxidative stress. Of these, the most important role in premature ageing in CKD is played by glycative stress, namely a massive and unfavourable glycation state, since the kidney is responsible for the clearance of advanced glycation endproducts (AGEs). In an animal model, overexpression of glyoxalase I (GLO‐1), a detoxifier of AGEs, has been found to alleviate premature ageing in the kidney and vessels. Both lifestyle changes and drug therapy have shown promise in overcoming premature ageing. Promising drug therapies include a GLO‐1 activator and an absorbent against glycotoxin and nitrogenous metabolites.