bluuebunny/crossref_metadata_2025_split huggingface dataset:
Globalising chains – decoupling grape production, wine production and wine exports
Authors: Mann Stefan , Beciu Silviu , Karbauskas Antanas 
Published: January 2018

Purpose
The purpose of this paper is to show that globalisation (or de-regionalisation) in the wine business is entering a new phase in which grape production, wine production and wine exports are increasingly decoupled. In order to illustrate the case, the authors present Lithuania, compared to Romania, as a case study.

Design/methodology/approach
The authors tested the hypothesis that grape production and wine trade are increasingly decoupling. Based on the notion that transformation countries act as an avant-garde where new developments show first, the authors use Central and Eastern Europe as a case in point. The authors apply a mixed and a fixed effects model, where self-sufficiency in grapes explains wine exports to a reducing degree.

Findings
In the descriptive part the authors demonstrate how Lithuania, since EU accession, has become a major hub for wine trade, importing from the main export countries, and exporting mostly to Russia. In the multivariate section, it can then be shown that this decoupling between grape production and wine exports is a significant development in international terms.

Practical implications
The division of labour in wine trade has entered a new phase where wine production and wine marketing are decoupled. If extrapolated into the future, this may indicate that in the future world market, grape production and wine production may also decouple.

Originality/value
The paper has traced a new and un-described phenomenon on the global wine market. It shows that the division of labour is still advancing.
Dairy production barriers diagnosis in Southern Brazil
Authors: Bonamigo Andrei , Ferenhof Helio Aisenberg , Tezza Rafael , Forcellini Fernando Antonio 
Published: January 2018

Purpose
The purpose of this paper is to empirically test the dairy production barriers: lack of cooperation between the chain actors, milk quality deficiencies, rural exodus and, productivity limitations in southern Brazil, based on Santa Catarina’s dairy production ecosystem players perceptions.

Design/methodology/approach
From inquiry result analysis with 305 dairy sector experts, the authors performed statistical tests using the technique of factorial analysis and confirmatory factorial analysis to confirm and/or refute the dairy production barriers presented by Bonamigo et al. (2016b).

Findings
The results confirmed the presence of the barriers presented by Bonamigo et al. (2016b). The barrier lack of cooperation between the chain actors is presented as the biggest obstacle in the sector, according to the interviewees. The authors also found that rural exodus is the barrier with the smallest impact on the dairy sector development in relation to other barriers presented by Bonamigo et al. (2016b). The confirmation of these barriers in practice allows developing new studies to eliminate and/or mitigate these barriers of the dairy sector. Furthermore, the study might shed some light on dairy production activities and help improve management skills.

Research limitations/implications
This study does not cover all the players that make up the dairy production ecosystem. It is limited only to the main players that are inserted in this sector. The authors observed the lack of data characterizing the dairy production system in Santa Catarina.

Originality/value
This study presents theoretical and practical contribution. By the confirmation that these barriers are present in the field, it is possible to direct new studies that seek to mitigate them and results in dairy production improvements. As for the practical contribution, the confirmation of those barriers can serve as a basis for the dairy sector decision-making actors, such as government, research institutions, and extension, producers, cooperatives, among others, and assist them in developing strategic actions that concern a cooperative way to develop the whole sector.
Performance analysis of Takaful and conventional insurance companies in Saudi Arabia
Authors: Akhtar Muhammad Hanif 
Published: January 2018

Purpose
The purpose of this paper is to analyze the performance of Takaful and conventional insurance companies in Saudi Arabia during a period of 2010-2015 by using the data envelopment analysis (DEA) technique for the whole population of insurance companies.

Design/methodology/approach
Given its objectives, the present study adopts the most prevalent DEA approach, by using the DEA Solver-Pro (Version 13). The DEA has emerged as a valuable analytical research technique. It measures the relative efficiency of firms in the presence of multiple inputs and outputs, based on a linear programming technique, and attempts to find out the firms that determine an envelopment frontier, are super efficient and with a higher productivity index.

Findings
It stems from the analysis that on a yearly basis, the average efficiency scores of firms have soared up overtime since 2010 till 2014 reflecting that most of the companies did well on the efficiency front. It is notable to mention here that the top slots for super efficiency are taken over by smaller firms, while the bigger firms are laggards here rather than the leaders. This reflects that the larger insurance firms need to augment their efficiency levels through more efficient utilization of inputs. The results of the study reveal that both Takaful and the larger conventional insurance firms in the country need to strengthen their operations more efficiently in order to take advantage of the economies of scale and scope. Market share and profitability are important determinants of efficiency.

Research limitations/implications
The larger insurance firms in the country need to a possible solution to the issue of inefficient market dynamics might lie in consolidation of the market through mergers and acquisitions. However, this needs a direct involvement of regulators in the Kingdom so that the market becomes healthy. Even though the Saudi insurance sector appears to have benefited from the compulsory insurance regulations for the expatriates and their families, however, there is still a need for efficiency and productivity improvement in the industry. The Takaful firms need to adopt such measures that would help them to take advantage of their specialized products toward efficiency vis-à-vis productivity drives. Finally, the insurance firms in Saudi Arabia need to adopt the use of threshold practices in order to compare their relative performance to improve on their efficiency and productivity levels by catching-up with the frontiers of best practices.

Originality/value
Based on the available literature, an exclusive study on the insurance sector of Saudi Arabia is so far non-existent. The study stands as pioneer to provide a starting point on overall performance evaluation of insurance firms in Saudi Arabia in various contexts in addition to the current and future trends of the insurance sector in the Kingdom.
A comparative study of classifier techniques for lift index data analysis
Authors: Asjad Mohammad , Alam Azazullah , Hasan Faisal 
Published: January 2018

Purpose
A classifier technique is one of the important tools which may be used to classify the data or information into systematic manner based on certain criteria pertaining to get the accurate statistical information for decision making. It plays a vital role in the various applications, such as business organization, e-commerce, health care, scientific and engineering application. The purpose of this paper is to examine the performance of different classification techniques in lift index (LI) data classification.

Design/methodology/approach
The analyses consist of two stages. First, the random data are generated for lifting task through computer programming, which is then put into the National Institute for Occupational Safety and Health equation for LI estimation. Based on the evaluated index, the task may be classified into two groups, i.e. high-risk and low-risk task. The classified task is considered to analyze the performance of different tools like Artificial Neural Network (ANN), discriminant analysis (DA) and support vector machines (SVMs).

Findings
The work clearly demonstrates the accuracy and computational ability of ANN, DA and SVM for data classification problems in general and LI data in particular. From the research it may be concluded that SVM may outperform ANN and DA.

Research limitations/implications
The research is limited to a particular kind of data that may be further explored by selecting the different controllable parameters and model specification. The study can also be applied to realistic problem of manual loading. It is expected that this will help researchers, designers and practicing engineers by making them aware of the performance of classification techniques in this area.

Originality/value
The objective of this research work is to assess and compare the relative performance of some well-known classification techniques like DA, ANN and SVM, which suggest that data characteristics considerably impact the classification performance of the methods.
Benchmarking freight transportation corridors and routes with data envelopment analysis (DEA)
Authors: Melo Isotilia Costa , Junior Paulo Nocera Alves , Perico Ana Elisa , Guzman Maria Gabriela Serrano , Rebelatto Daisy Aparecida do Nascimento 
Published: January 2018

Purpose
The purpose of this paper is to collectively measure and compare the efficiency of Brazilian and American soybean transport corridors, from farmers to export ports, using the data envelopment analysis (DEA).

Design/methodology/approach
This paper aims to determine routes from main producing micro-regions to main export ports, specifically using slack-based measure and variables that represent the three pillars of sustainability (economic, social, and environmental). The choice of variables was guided by literature review and analyzed through the principal component analysis. After the application of the model, the quantitative tiebreaking method of the composite index is applied.

Findings
The findings are coherent with a global report that compares soybean transportation in both countries (Brazil and USA). Efficient routes and corridors tend to present short distance truck trips and long distance train or barge trips. The efficiency of the inland waterway trips depends on how many barges are used in the same expedition. Routes with more than three modes tend to be inefficient which suggest that there is a limit for multimodality.

Originality/value
Corridor benchmarking is a rare topic in the literature and previous works normally focus on some specific and limited corridor performance characteristics, such as cost. The main contribution of this research is that it expands the discussion regarding corridor benchmarking and it focuses on efficiency as a whole. The paper also proposes a method that can be applied in different logistics contexts, like expanding the study to different countries. More specifically, this method could be used in infrastructure investments programs.
Highly engaged but burned out: intra-individual profiles in the US workforce
Authors: Moeller Julia , Ivcevic Zorana , White Arielle E. , Menges Jochen I. , Brackett Marc A. 
Published: January 2018

PurposeThe purpose of this paper is to use the job demands-resources model to investigate intra-individual engagement-burnout profiles, and demands-resources profiles.Design/methodology/approachA representative sample of the US workforce was surveyed online. Latent profile analysis (LPA) and configural frequency analysis examined intra-individual profiles and their inter-relations.FindingsA negative inter-individual correlation between engagement and burnout suggested that burnout tends to be lower when engagement is high, but intra-individual analyses identified both aligned engagement-burnout profiles (high, moderate, and low on both variables), and discrepant profiles (high engagement – low burnout; high burnout – low engagement). High engagement and burnout co-occurred in 18.8 percent of workers. These workers reported strong mixed (positive and negative) emotions and intended to leave their organization. Another LPA identified three demands-resources profiles: low demands – low resources, but moderate self-efficacy, low workload and bureaucracy demands but moderate information processing demands – high resources, and high demands – high resources. Workers with high engagement – high burnout profiles often reported high demands – high resources profiles. In contrast, workers with high engagement – low burnout profiles often reported profiles of high resources, moderate information processing demands, and low other demands.Originality/valueThis study examined the intersection of intra-individual engagement-burnout profiles and demands-resources profiles. Previous studies examined only one of these sides or relied on inter-individual analyses. Interestingly, many employees appear to be optimally engaged while they are burned-out and considering to leave their jobs. Demands and resources facets were distinguished in the LPA, revealing that some demands were associated with resources and engagement.
Cultivating virtual communities of practice in KAFKA
Authors: Sartori Fabio , Melen Riccardo , Pinardi Stefano 
Published: January 2018

PurposeThe purpose of this paper is to present a framework for cultivating virtual communities of practice in distributed environments. The framework is based on the integration of knowledge artifacts and wearable technologies.Design/methodology/approachThe proposed knowledge artifact is based on the correlation between conceptual and computational tools for the representation of different kinds of knowledge.FindingsIn this way, it is possible to make deeper the collaboration between knowledge seekers and contributors within the community, given that seekers and contributors share, at least in part, design choices at the knowledge modeling level.Originality/valueA practical application of the framework has been described, to show its originality with respect to traditional knowledge management systems. In particular, it has been demonstrated how lurking phenomenon inside communities of practice can be significantly reduced. To this aim, opportune indexes have been defined from existing ones in literature.
A numerical study on unsteady natural/mixed convection in a cavity with fixed and moving rigid bodies using the ISPH method
Authors: Nguyen Minh Tuan , Aly Abdelraheem M. , Lee Sang-Wook 
Published: January 2018

Purpose
This paper aims to conduct numerical simulations of unsteady natural/mixed convection in a cavity with fixed and moving rigid bodies and different boundary conditions using the incompressible smoothed particle hydrodynamics (ISPH) method.

Design/methodology/approach
In the ISPH method, the pressure evaluation is stabilized by including both of divergence of velocity and density invariance in solving pressure Poisson equation. The authors prevented the particles anisotropic distributions by using the shifting technique.

Findings
The proposed ISPH method exhibited good performance in natural/mixed convection in a cavity with fixed, moving and free-falling rigid body. In natural convection, the authors investigated the effects of an inner sloshing baffle as well as fixed and moving circular cylinders on the heat transfer and fluid flow. The heated baffle has higher effects on the heat transfer rate compared to a cooled baffle. In the mixed convection, a free-falling circular cylinder over a free surface cavity and heat transfer in the presence of a circular cylinder in a lid-driven cavity are simulated. Fixed or moving rigid body in a cavity results in considerable effects on the heat transfer rate and fluid flow.

Originality/value
The authors conducted numerical simulations of unsteady natural/mixed convection in a cavity with fixed and moving rigid bodies and different boundary conditions using the ISPH method.
Numerical assessment of the mixed convection and volumetric radiation in a vertical channel with MRT-LBM
Authors: Derfoufi Soufiane , Moufekkir Fayçal , Mezrhab Ahmed 
Published: January 2018

Purpose
The paper aims to focus on modeling of combined mixed convection and volumetric radiation within a vertical channel using a hybrid thermal lattice Boltzmann method (LBM). The multiple relaxation time LBM (MRT-LBM) is used to compute the dynamical field. The thermal field is determined by a finite difference method (FDM), and the simple relaxation time-LBM (SRT-LBM) serves to calculate the radiative part. The geometry considered concerns a vertical channel defined by two diffuse and isothermal walls. The active fluid represents a gray gas participating in absorption, emission and isotropically scattering. The parametrical study conducted aims to highlight the effect of Richardson number (Ri), Planck number (Pl) and the optical thickness (τ) on dynamical and thermal fields. It is found that radiation affects greatly heat transfer.

Design/methodology/approach
MRT-LBM is used to compute the dynamical field. The thermal field is determined by FDM, and SRT-LBM serves to calculate the radiative part.

Findings
This study has shown the strong capability of this approach to simulate similar problems. The Planck number largely affects the streamlines and isotherms distribution. Also, it causes disappearance of reversal flow, undesirable in most industrial applications, for low Planck numbers. The optical thickness causes the disappearance of reversal flow, in the case in which it appears, for lower opacity. However, for higher opacity it leads to a recurrence of reversed flow.

Originality/value
The use of a new original method composed of MRT-LBM to solve the fluid velocity, FDM to handle the temperature equation and extended SRT-LBM to compute the radiative part of the energy equation.
Political connections, institutional monitoring and the cost of debt: evidence from Malaysian firms
Authors: Tee Chwee Ming 
Published: January 2018

Purpose
The purpose of this paper is to examine the main and joint effects of politically connected firms (PCFs) and institutional monitoring on the cost of debt.

Design/methodology/approach
Based on a panel data set of Malaysian politically connected and non-politically connected listed firms from 2002 till 2015, the author performs regression analysis. To address the issue of self-selection, the PCFs’ equation is estimated, following Lennox et al. (2012) and Heckman (1979).

Findings
This paper finds that PCFs are associated with higher cost of debt. However, the positive association between PCFs and the cost of debt is attenuated by higher institutional ownership (IO). Further test reveals that monitoring by institutional investors is heterogeneous from the perspective of domicile. Local institutional investors are associated with lower cost of debt, particularly in PCFs, while foreign institutional investors are associated with higher cost of debt.

Originality/value
The author shows that firm outcome, i.e. cost of debt in emerging markets can differ from advanced markets due to different institutional setting. Additionally, different types of political ties can produce different firm outcomes: GLCs are associated with lower cost of debt as opposed to connected firms based on personal ties. However, agency problems in PCFs can be alleviated through effective institutional monitoring. Consistent with geographical proximity theory, local institutional investors play a more effective monitoring role in Malaysian listed firms, thus lowering cost of debt. Overall, the results contribute to deeper understanding on variation in firm outcomes between emerging and advanced markets.
Offering a framework for value co-creation in virtual academic learning environments
Authors: Ranjbarfard Mina , Heidari Sureshjani Mahboobeh 
Published: January 2018

Purpose
This research aims to convert the traditional teacher–student models, in which teachers determine the learning resources, into a flexible structure and an active learning environment so that students can participate in the educational processes and value co-creation in virtual academic learning environments (VALEs).

Design/methodology/approach
Mixed-methods (qualitative–quantitative) approach has been used. First, to develop the primary framework, papers were content-analyzed. Then, to validate the results of the content analysis, responses of the questionnaires distributed among students and teachers at five virtual universities in Iran were analyzed.

Findings
VALEs have the value co-creation potential. The students and teachers in this sample identified and confirmed three dimensions including partnership requirements (including organizational capabilities, structural requirement, individual competencies, motivational factors and resources), collaborative learning services (including IT infrastructure, common services and educational services) and social networks. The foundation of value co-creation is a partnership requirement. Collaborative learning services are flexible services that redesign methods and curriculum and promote deep learning among students. In addition, the wide use of social networks enables dialogue, communication, participation and establishment of virtual learning groups.

Practical implications
By means of the suggested framework, it is possible to achieve value co-creation in VALEs.

Originality/value
The paper presents outcomes of the research that is focused on technical, human and organizational aspects for value co-creation in VALEs that have not been much discussed previously.