bluuebunny/crossref_metadata_2025_split huggingface dataset:
Team-member exchange, voice behavior, and creative work involvement
Authors: Shih Hsi-An , Wijaya Nikodemus Hans Setiadi 
Published: April 2017

PurposeThe purpose of this paper is to conceptualize the links among team-member exchange (TMX), voice behavior, and creative work involvement.Design/methodology/approachA total of 260 employees were participants in this study. All were alumni of a Business School in Indonesia. Data were gathered at two time points four months apart. Hierarchical regression and bootstrapping analyses were conducted to find the effects of TMX on voice behavior and creative work involvement.FindingsResults from the analyses showed positive effects of TMX on both voice behavior and creative work involvement. A positive effect of voice behavior on creative work involvement was found. The results also exhibited a partial mediating effect of voice behavior on the relationship between TMX and creative work involvement.Practical implicationsThe findings point to the importance of maintaining TMX quality in work teams for enhancing employee voice and creativity. Organizations may need to develop members’ reciprocal relationship skill in teams and maintain the roles of team leaders to develop the quality of TMX. It is also suggested that the practice of self-management teams may enhance the quality of TMX and voice behavior of employees.Originality/valueThis paper offers new insight on how levels of TMX may impact on members’ voice behavior and creative work involvement. Longitudinal data may provide a more accurate prediction of the links among TMX, voice behavior, and creative work involvement.
Antecedents of social media usage and performance benefits in small- and medium-sized enterprises (SMEs)
Authors: Odoom Raphael , Anning-Dorson Thomas , Acheampong George 
Published: April 2017

Purpose
Despite the blossoming nature of social media marketing, the nuances and implications among small- and medium-sized enterprises (SMEs) appear to be under-researched in literature. The purpose of this paper is to progress knowledge and offer extended understanding of the motivations and performance benefits of social media accrued by SMEs with an empirical study from an emerging economy.

Design/methodology/approach
Based on past research, the study hypothesizes that interactivity, compatibility and cost effectiveness are motivations germane to social media usage, which consequently offer performance benefits. Data from 210 SMEs (having Facebook and/or Twitter accounts) are employed to investigate the proposed conceptual model using structural equation modeling with sub-group analysis.

Findings
Finding from this study demonstrate that the interdependencies of social media motivations, as well as effects of social media usage are positive but erratic across product-based and service-based SMEs. Moreover, SMEs who offer physical products are more likely to employ social media based on cost-effective motives while service SMEs are more likely to consider interactivity as a key motivation. Additionally, findings from the study data suggest that in a tale of two sites, Facebook proved to edge Twitter in terms of engendering performance benefits among SME users.

Originality/value
The findings provide evidence to issues of potential research and managerial interest, offering insightful implications to the academic and practitioner communities. Evidently, irrespective of some usage bottlenecks, SMEs in emerging markets appears to be reaping enhanced social media benefits by deploying their marketing campaigns via multiple platforms.
Master data management and its organizational implementation
Authors: Vilminko-Heikkinen Riikka , Pekkola Samuli 
Published: April 2017

Purpose
Master data management (MDM) aims to improve the value of an organization’s most important data, such as customer data, by bridging the silos between organizational units and information systems. However, incorporating data management practices into an organization is not a simple task. The purpose of this paper is to provide a new understanding of the challenges in establishing and developing the MDM function within an organization.

Design/methodology/approach
This papers report an ethnographic study within a municipality. The data were collected from two consecutive MDM development projects over the time period of 32 months by observing MDM-related activities and interviewing appropriate actors. Observations, interviews, and impressions were documented to a diary that was later qualitatively analyzed. Various project documentation were also used.

Findings
In total 15 challenges were identified. Seven of these were not identified earlier in the literature. New challenges included legislation-driven challenges, mutual understanding of master data domains, and the level of granularity for those domains. Eight issues, such as data owner and data definitions, were MDM specific, others being more generic. All of the issues were identified as preconditions or as affecting factors for the others. Three of the issues were identified as pivotal. The issues emphasize strong alignment between the complex concept of MDM and the organization adopting it.

Research limitations/implications
This research was based on a single qualitative case study, and caution should be exercised with regard to generalizations. The findings increase understanding about the complex organizational phenomena. The study offers public sector and private sector practitioners insights of the organizational issues that establishing a MDM function can encounter.

Originality/value
The issues discovered in the research shed light on the strong alignment between the complex concept of MDM and the organization. The results of this study assist researchers in their endeavor to understand the organizational aspects of MDM, and to build theoretical models, frameworks, practices, and explanations.
Business growth through intentional and non-intentional network processes
Authors: Rennemo Øystein , Widding Lars Øystein , Bogren Maria 
Published: April 2017

PurposeThe purpose of this paper is to examine business growth and explore the “growth mode” among 24 women entrepreneurs participating in a Nordic research, development and networking programme.Design/methodology/approachA longitudinal design made it possible to follow entrepreneurial growth as an unfolding and emerging research process with a methodology inductive in nature and driven by empirical findings. The analysis is structured following established procedures for inductive, theory-building research, using guidelines for constant comparison techniques and working recursively between the data and the emerging theory.FindingsTwo processes were found important to understand the women entrepreneurs’ growth mode. The first is interpreted as intentionally driven and relates to the women’s achievement of expanding their knowledge reservoir; the other is non-intentionally driven and a result of uncontrolled network responses. The latter unfolded as a movement towards a preferable macro-actor status for some of the entrepreneurs.Practical implicationsThe study calls attention to relevant knowledge preferable to entrepreneurs who face challenges when trying to grow their businesses. The political implications of this study relate to the importance of awareness among governmental organizations and municipal business advisers regarding the effects of entrepreneurial networking.Originality/valueThis study provides an empirically rigorous insight into the processes of entrepreneurial growth. The findings led the authors to develop a conceptual model for business growth, which contributes to the recent stream of literature on how new businesses are growing.
Impact of entrepreneurial passion on entrepreneurial orientation with the mediating role of entrepreneurial alertness for technology-based firms in Mexico
Authors: Montiel Campos Héctor 
Published: April 2017

PurposeThe purpose of this paper is to analyze the mediating role of entrepreneurial alertness in the relationship between entrepreneurial passion and entrepreneurial orientation (EO).Design/methodology/approachThis is a quantitative study using a self-report survey for information gathering. The hypotheses are tested with a sample of 112 entrepreneurs from technology-based firms in Mexico using hierarchical regression analysis. The study follows procedural and statistical recommendations from previous studies in order to strengthen the results.FindingsThe results demonstrate a significant and positive relationship between entrepreneurial passion and EO, and this relationship is mediated for each dimension of entrepreneurial alertness.Research limitations/implicationsAlthough there are interesting results in the study, some limitations should be recognized. First, it is important to consider the stage in which the firm is operating because it influences the firm’s behavior. Second, the generalization of the results should be validated in non-technology-based firms that operate in different contexts and conditions. The study’s findings have implications for small business support programs and entrepreneurs.Originality/valueThe study contributes to the emerging research of entrepreneurial passion in the field of entrepreneurship and to the scarce empirical research on entrepreneurial alertness. Both constructs are related to one of the most representative topics in the field, as is EO.
The design process of corporate universities: a stakeholder approach
Authors: Patrucco Andrea Stefano , Pellizzoni Elena , Buganza Tommaso 
Published: April 2017

PurposeCorporate universities (CUs) have been experiencing tremendous growth during the past years and can represent a real driving force for structured organizations. The paper aims to define the process of CU design shaped around company strategy. For each step, the authors propose specific roles, activities and methods.Design/methodology/approachThe paper exploits some managerial theories and past research on CUs to draw a two-step framework for their design and development process, then tests (and validating) it through action research and applies its guidelines to two different case studies.FindingsThe authors conclude the CU design process can be divided into two steps (development and management), with specific roles assigned to the different activities, and this allocation represents a prerequisite for the CU project success. Moreover, flexibility and potential recycles should be considered when configuring the process.Originality/valueThe paper is original in two ways: it proposes a framework for CU design and development (which is unique in its type) and an application of this framework to two real cases, discussing its benefits, criticalities and limitations (thus ensuring generalizability).
Solder joint defect classification based on ensemble learning
Authors: Wu Hao 
Published: April 2017

Purpose
This paper aims to inspect the defects of solder joints of printed circuit board in real-time production line, simple computing and high accuracy are primary consideration factors for feature extraction and classification algorithm.

Design/methodology/approach
In this study, the author presents an ensemble method for the classification of solder joint defects. The new method is based on extracting the color and geometry features after solder image acquisition and using decision trees to guarantee the algorithm’s running executive efficiency. To improve algorithm accuracy, the author proposes an ensemble method of random forest which combined several trees for the classification of solder joints.

Findings
The proposed method has been tested using 280 samples of solder joints, including good and various defect types, for experiments. The results show that the proposed method has a high accuracy.

Originality/value
The author extracted the color and geometry features and used decision trees to guarantee the algorithm's running executive efficiency. To improve the algorithm accuracy, the author proposes using an ensemble method of random forest which combined several trees for the classification of solder joints. The results show that the proposed method has a high accuracy.
Study of direct soldering of silicon and copper substrate by use of Bi-based solders with lanthanides addition
Authors: Kolenak Roman 
Published: April 2017

Purpose
This paper aims to investigate the effect of solder alloying with a small amount of La and Y on bond formation with the Si and Cu substrates.

Design/methodology/approach
Bi2La and Bi2Y solders were studied. Soldering was performed using a fluxless method in air and with ultrasonic activation.

Findings
It was found that in the process of ultrasonic soldering, the La and Y were distributed at the interface with Si and Cu substrates, which enhanced the bond formation. Addition of La or Y elements in a Bi-based solder also ensured wetting of non-metallic materials such as Si, Al2O3 and SiC ceramics.

Originality/value
The addition of lanthanides offers a method for ensuring wetting of non-metallic materials. The bond with Si was of an adhesive character without the formation of a new contact interlayer. This resulted in lower shear strength of the bond with Si (8-10 MPa). The shear strength of the bond with a Cu substrate was 22-30 MPa.
The role of transcriptomes linked with responses to light environment on seedling mortality in a subtropical forest, China
Authors: Han Baocai , Umaña María Natalia , Mi Xiangcheng , Liu Xiaojuan , Chen Lei , Wang Yunquan , Liang Yu , Wei Wei , Ma Keping 
Published: April 2017

Summary

Differences in seedling survival in trees have a lasting imprint on seedling, juvenile and adult community structure. Identifying the drivers of these differences, therefore, is a critical research objective that ultimately requires knowledge regarding how organismal function interacts with the local environment to influence survival rates.

In tree communities, differences in light use strategies are frequently invoked to explain differences in seedling demographic performance through growth and survival trade‐offs. For example, shade‐tolerant species grow slowly and have higher survival rates, whereas shade‐intolerant species grow quickly but have lower survival rates. Thus, functional traits related to photosynthesis should be strong predictors of demographic rates, but results in the literature are mixed indicating that additional or alternative information regarding organismal function should be considered.

Here, we provide a community‐wide inventory of transcriptomes in a subtropical tree community. This information is utilized to determine the degree to which species share homologous genes related to gene ontologies for light use and harvesting. These species similarities are used in neighbourhood generalized linear mixed‐effects models of seedling survival that evaluated seedling survival as a function of the transcriptomic, functional trait and phylogenetic composition of the local neighbourhood. The results show neighbourhood similarity in three of the 15 gene ontologies evaluated are significantly related to survival rates based on neighbourhood composition. For two of these ontologies, survival rates increase when neighbours are similar in their gene tree composition indicating the importance of abiotic filtering and performance hierarchies.

Synthesis. The present work takes a novel approach by sequencing the transcriptomes of naturally co‐occurring tree species in a subtropical forest in China. The results show that the transcriptomic similarity of species is a significant predictor of differential survival. The study demonstrates that exploring the functional genomic similarity of non‐model species in nature has the potential to increase the breadth and depth of our understanding of how gene function influences species co‐occurrence and population dynamics in communities.
Evaluation of iron‐fortified Feta cheese for physicochemical and sensory properties
Authors: Jalili Maryam , Ehsani Mohammad Reza , Mazloumi Mohammad Taghi 
Published: April 2017

Standardised cow's milk (fat 3 g/100 g) was used to manufacture Feta cheese fortified with 40, 60 and 80 mg of iron/kg cheese using ferrous sulphate (FeSO4), ferric chloride (FeCl3), ferric pyrophosphate (Fe4 (P2O7)3) and microencapsulated ferrous sulphate. Chemical composition and sensory characteristics of fortified cheeses were determined after 60 days of ripening, during which the iron content and thiobarbituric acid (TBA) values were measured. The metallic taste, colour, flavour, overall score and TBA values were statistically (P < 0.05) affected by the source and concentration of iron. The best quality was found in cheeses fortified with 40 mg/kg of microencapsulated ferrous sulphate.
Brazilian Agriculture: Is it all about the Large Farms?
Authors: Helfand Steven M. , Rada Nicholas E. , Magalhães Marcelo M. 
Published: April 2017

SummaryToo often Brazil's agricultural sector is associated primarily with farms operating thousands of hectares in the vast savannah known as the cerrado. Our purpose is to demonstrate that this association is inaccurate, that there exists enormous heterogeneity within the sector across farm sizes. To this end, we separately examine how 1985–2006 total factor productivity (TFP) growth and 2006 production scale vary over farm sizes. We draw on microdata from Brazil's agricultural censuses, aggregated into five farm size classes at the municipality level. While TFP growth has been high on the largest farms, it has been slightly higher on the smallest farms. And when attention is restricted to the 9.5 per cent of farms that accounted for 86 per cent of total production value – those that we designate as ‘large scale’ – it is clear that most were small and medium‐sized farms located in the South and Southeast. Taken together, these results indicate that Brazil's agricultural success has not been only about the large farms. As scholars and policymakers debate the costs and benefits of replicating Brazil's ‘Agricultural Miracle’ in other parts of the world, it is critical not to overlook the contributions of small and medium‐sized farms.
Squamate Conserved Loci (SqCL): A unified set of conserved loci for phylogenomics and population genetics of squamate reptiles
Authors: Singhal Sonal , Grundler Maggie , Colli Guarino , Rabosky Daniel L. 
Published: April 2017

AbstractThe identification of conserved loci across genomes, along with advances in target capture methods and high‐throughput sequencing, has helped spur a phylogenomics revolution by enabling researchers to gather large numbers of homologous loci across clades of interest with minimal upfront investment in locus design. Target capture for vertebrate animals is currently dominated by two approaches—anchored hybrid enrichment (AHE) and ultraconserved elements (UCE)—and both approaches have proven useful for addressing questions in phylogenomics, phylogeography and population genomics. However, these two sets of loci have minimal overlap with each other; moreover, they do not include many traditional loci that that have been used for phylogenetics. Here, we combine across UCE, AHE and traditional phylogenetic gene locus sets to generate the Squamate Conserved Loci set, a single integrated probe set that can generate high‐quality and highly complete data across all three loci types. We use these probes to generate data for 44 phylogenetically disparate taxa that collectively span approximately 33% of terrestrial vertebrate diversity. Our results generated an average of 4.29 Mb across 4709 loci per individual, of which an average of 2.99 Mb was sequenced to high enough coverage (≥10×) to use for population genetic analyses. We validate the utility of these loci for both phylogenomic and population genomic questions, provide a comparison among these locus sets of their relative usefulness and suggest areas for future improvement.
Effective mosquito and arbovirus surveillance using metabarcoding
Authors: Batovska J. , Lynch S. E. , Cogan N. O. I. , Brown K. , Darbro J. M. , Kho E. A. , Blacket M. J. 
Published: April 2017

AbstractEffective vector and arbovirus surveillance requires timely and accurate screening techniques that can be easily upscaled. Next‐generation sequencing (NGS) is a high‐throughput technology that has the potential to modernize vector surveillance. When combined with DNA barcoding, it is termed ‘metabarcoding.’ The aim of our study was to establish a metabarcoding protocol to characterize pools of mosquitoes and screen them for virus. Pools contained 100 morphologically identified individuals, including one Ross River virus (RRV) infected mosquito, with three species present at different proportions: 1, 5, 94%. Nucleic acid extracted from both crude homogenate and supernatant was used to amplify a 269‐bp section of the mitochondrial cytochrome c oxidase subunit I (COI) locus. Additionally, a 67‐bp region of the RRV E2 gene was amplified from synthesized cDNA to screen for RRV. Amplicon sequencing was performed using an Illumina MiSeq, and bioinformatic analysis was performed using a DNA barcode database of Victorian mosquitoes. Metabarcoding successfully detected all mosquito species and RRV in every positive sample tested. The limits of species detection were also examined by screening a pool of 1000 individuals, successfully identifying the species and RRV from a single mosquito. The primers used for amplification, number of PCR cycles and total number of individuals present all have effects on the quantification of species in mixed bulk samples. Based on the results, a number of recommendations for future metabarcoding studies are presented. Overall, metabarcoding shows great promise for providing a new alternative approach to screening large insect surveillance trap catches.
Improving models of urban greenspace: from vegetation surface cover to volumetric survey, using waveform laser scanning
Authors: Casalegno Stefano , Anderson Karen , Hancock Steven , Gaston Kevin J. 
Published: April 2017

Summary

Urban greenspace has a major impact on human health and quality of life, and thus the way in which such green infrastructure is constructed, managed and maintained is of critical importance. A range of studies have demonstrated the relationship between the areal coverage and distribution of vegetation and the provision of multiple urban ecosystem services. It is not known how sensitive findings are to the spatial resolution of the underlying data relative to the grain size of urban land cover heterogeneity. Moreover, little is known about the three‐dimensional (3D) structure of urban vegetation and delivery of services, and addressing such questions is limited by the availability of data describing canopy structure from the tree tops to the ground.

Waveform airborne laser scanning (lidar) offers a new way of capturing 3D data describing vegetation structure. We generated voxels (volumetric pixels) from waveform lidar (1·5 m resolution), differentiated vegetation layers using height as a determinant, and computed statistics on surface cover, volume and volume density per stratum. We then used a range of widely available remote sensing products with varying spatial resolution (1 to 100 m) to map the same greenspace, and compared results to those from the waveform lidar survey.

We focused on data from three urban zones in the UK with distinct patterns of vegetation cover. We found −3%, +7·5% and +26·1% differences in green surface cover compared with, respectively, town planning maps (<10 m resolution), national land cover maps (25 m) and European land cover maps (100 m). There were differences of −59·1%, +12·4% and −2·4% in tree cover compared with global (30 m resolution), European (25 m) and national (1 m) estimates. Waveform lidar captured sub‐canopy structure and detected empty spaces in the understorey which contributed a 16% bias in the total green volume derived from non‐waveform lidar observations.

We conclude that waveform lidar has a key role to play in estimating important quantitative metrics of urban green infrastructure, which is important because urban greenspace is highly fragmented and shows high levels of spatial and volumetric heterogeneity.