bluuebunny/crossref_metadata_2025_split huggingface dataset:
Human capital analytics: too much data and analysis, not enough models and business insights
Authors: Levenson Alec , Fink Alexis 
Published: May 2017

PurposeThe purpose of this paper is to address the barriers to the rapid development of effective HR analytics capabilities in organizations.Design/methodology/approachLiterature and conceptual review of the current state of HR analytics.Findings“HR analytics” is used to refer to a too-wide array of measurement and analytical approaches, making strategic focus difficult. There is a misconception that doing more measurement of HR activities and human capital will necessarily lead to actionable insights. There is too much focus on incremental improvement of existing HR processes, detracting from diagnosing the problems with business performance. Too much time is spent on mining existing data, to the detriment of model building and testing, including collecting new more appropriate data. Too much energy is consumed with basic tasks of data management. Stakeholders avoid action by nitpicking the details of the data.Practical implicationsPractitioners who follow the guidance provided should find that their application of HR analytics leads to more relevant and actionable insights.Social implicationsMore effective application of HR analytics should lead to better decision making in organizations and more effective resource allocation.Originality/valueA new look at the field of HR analytics that synthesizes the research literature and current practice in organizations.
An ideal hospital
Authors: Chandrasiri Singithi (Sidney) 
Published: May 2017

PurposeThe purpose of this paper is to explore a novel overarching strategy in tackling the key issues raised by the recent inquiry into bullying, harassment and discrimination in surgical practice and surgical training in Australian and New Zealand hospitals.Design/methodology/approachThe approach taken is an analysis of the available evidence-based literature to inform the proposed viewpoint. The theoretical subject scope presented is a discussion of how and why the various strategies put forward in this paper should be integrated into and led from an overarching workforce engagement platform.FindingsThe key themes isolated from the Inquiry into Australian and New Zealand surgical practice ranged from abuse of power by those in leadership positions, gender inequity in the surgical workforce, opaque and corrupt complaints handling processes, excessive surgical trainee working hours to bystander silence secondary to a fear of reprisal. A workforce engagement perspective has elicited the potential to counter various impacts, that of clinical ineffectiveness, substandard quality and safety, inefficient medical workforce management outcomes, adverse economic implications and the operational profitability of a hospital. Generic strategies grounded in evidence-based literature were able to then be aligned with specific action areas to provide a new leadership framework for addressing these impacts.Originality/valueTo the author’s knowledge, this is one of the first responses providing a framework on how medical managers and hospital executives can begin to lead a comprehensive and practical strategy for changing the existing culture of bullying, harassment and discrimination in surgical practice by using a staff engagement framework.
An evaluation of a leadership development coaching and mentoring programme
Authors: Le Comte Lyndsay , McClelland Beverley 
Published: May 2017

Purpose
The purpose of this paper was to determine the value and impact of the Leadership Development – Coaching and Mentoring Programme at Counties Manukau Health and understand how the skills gained are applied.

Design/methodology/approach
Mixed-methods approach including surveys of programme participants and senior staff and semi-structured interviews with programme participants.

Findings
The survey response rate was 24.4 per cent for programme participants and 30 per cent for senior staff. Eight programme participants participated in semi-structured interviews. Of the 70 programme participants, 69 utilised their learning from the programme; 45 of 70 changed their approach to managing staff; and 40 of 68 programme participants reported that meeting with peers for triad group coaching was the most challenging aspect of the programme. Key themes identified through interviews included: working with others; not owning others’ problems; professional support and development; coaching and mentoring; future participants.

Practical implications
The majority of participants changed their leadership behaviours as a result of the programme, which has resulted in improved communication, a more supportive culture and distributed leadership. These changes contribute to better patient care.

Originality value
There is a paucity of evidence in the literature about the impact of coaching and mentoring programme on leadership development and how the skills gained in such programmes are applied in practice in a healthcare context. This evaluation helps to address that gap.
Leading nurses: emotional intelligence and leadership development effectiveness
Authors: Crowne Kerri Anne , Young Thomas M. , Goldman Beryl , Patterson Barbara , Krouse Anne M. , Proenca Jose 
Published: May 2017

Purpose
The purpose of this paper is to examine the effectiveness of an emotional intelligence (EI) and leadership development education program involving 20 nurse leaders at nursing homes. Also, it investigates the relationship between EI and transformational leadership.

Design/methodology/approach
Three research questions are posed. Correlation analysis and t-tests were conducted to answer the questions posed.

Findings
The findings of this paper indicate that the EI educational development was effective, while the personal leadership development was not. The data also showed a positive significant relationship between EI and transformational leadership.

Research limitations/implications
This paper is limited by the small sample size; thus, a causal relationship between EI and leadership could not be investigated. Additionally, the sample was not randomly selected because of the commitment needed from the participants. Furthermore, the paper was focused on nurse leaders in nursing homes, so it may not be generalizable to other populations.

Practical implications
With the increasing need for nursing home facilities and the limited training generally provided to nurses who move into managerial roles in these facilities, it is critical for organizations to understand the effectiveness of educational programs that exist. Moreover, the findings of this paper may provide information that would be useful to others who wish to develop EI and/or leadership education for nurses.

Originality/value
While much research exists on EI and transformational leadership, little of this research focuses on nurses in nursing home facilities. Thus, this paper fills a gap in the literature.
Edge quality in fused deposition modeling: II. experimental verification
Authors: Armillotta Antonio , Bianchi Stefano , Cavallaro Marco , Minnella Stefania 
Published: May 2017

Purpose
This paper aims to provide an experimental evaluation of geometric errors on the edges of parts manufactured by the fused deposition modeling (FDM) process.

Design/methodology/approach
An experimental plan was conducted by building parts in ABS thermoplastic resin on a commercially available machine with given combinations of the three geometric variables (inclination, included and incidence angle) defined in the first part of the paper. Edges on built parts were inspected on a two-dimensional non-contact profilometer to measure position and form errors.

Findings
The analysis of measurement results revealed that the edge-related variables have significant influences on the geometric errors. The interpretation of error variations with respect to the different angles confirmed the actual occurrence of the previously discussed error causes. As an additional result, quantitative predictions of the errors were provided as a function of angle values.

Research limitations/implications
The experimental results refer to fixed process settings (material, FDM machine, layer thickness, build parameters, scan strategies).

Originality/value
The two-part paper is apparently the first to have studied the edges of additively manufactured parts with respect to geometric accuracy, a widely studied topic for surface features.
Sequential additive manufacturing: automatic manipulation of 3D printed parts
Authors: Aroca Rafael Vidal , Ventura Carlos E.H. , De Mello Igor , Pazelli Tatiana F.P.A.T. 
Published: May 2017

Purpose
This paper aims to present a monitoring system and the usage of a robotic arm to remove finished parts of a three-dimensional (3D) printer build plate, enabling 3D printers to continuously build a sequence of parts.

Design/methodology/approach
The system relies on a 2-degree of freedom planar manipulator. The moment to remove printed parts from the printer build plate can be determined based on direct communication with the 3D printer control software or using information from a computer vision system that applies background subtraction and Speeded up Robust Features methods.

Findings
The proposed system automatically detects the end of standard 3D print jobs and controls the robotic arm to remove the part.

Research limitations/implications
Lighting variation can deteriorate the response of the computer vision system, which can be minimized using a controlled illumination environment. In addition, the printer build plate edges must be free so the parts can slip off the printer build plate when the robot pushes them out.

Practical implications
The system enables a more practical and automatized usage of 3D printers, reducing the need of human operators.

Social implications
The proposed system can reduce work hours of laboratory personnel, as there is no need to remove the printed parts manually before another job starts.

Originality/value
Computer vision system monitors the printing process and the automation system that enables continuous sequential 3D printing of parts. A prototype is described, which can be easily replicated with low cost parts.
Experimental characterization of the mechanical properties of 3D-printed ABS and polycarbonate parts
Authors: Cantrell Jason T. , Rohde Sean , Damiani David , Gurnani Rishi , DiSandro Luke , Anton Josh , Young Andie , Jerez Alex , Steinbach Douglas , Kroese Calvin , Ifju Peter G. 
Published: May 2017

Purpose
This paper aims to present the methodology and results of the experimental characterization of three-dimensional (3D) printed acrylonitrile butadiene styrene (ABS) and polycarbonate (PC) parts utilizing digital image correlation (DIC).

Design/methodology/approach
Tensile and shear characterizations of ABS and PC 3D-printed parts were performed to determine the extent of anisotropy present in 3D-printed materials. Specimens were printed with varying raster ([+45/−45], [+30/−60], [+15/−75] and [0/90]) and build orientations (flat, on-edge and up-right) to determine the directional properties of the materials. Tensile and Iosipescu shear specimens were printed and loaded in a universal testing machine utilizing two-dimensional (2D) DIC to measure strain. The Poisson’s ratio, Young’s modulus, offset yield strength, tensile strength at yield, elongation at break, tensile stress at break and strain energy density were gathered for each tensile orientation combination. Shear modulus, offset yield strength and shear strength at yield values were collected for each shear combination.

Findings
Results indicated that raster and build orientations had negligible effects on the Young’s modulus or Poisson’s ratio in ABS tensile specimens. Shear modulus and shear offset yield strength varied by up to 33 per cent in ABS specimens, signifying that tensile properties are not indicative of shear properties. Raster orientation in the flat build samples reveals anisotropic behavior in PC specimens as the moduli and strengths varied by up to 20 per cent. Similar variations were observed in shear for PC. Changing the build orientation of PC specimens appeared to reveal a similar magnitude of variation in material properties.

Originality/value
This article tests tensile and shear specimens utilizing DIC, which has not been employed previously with 3D-printed specimens. The extensive shear testing conducted in this paper has not been previously attempted, and the results indicate the need for shear testing to understand the 3D-printed material behavior fully.
Efficient design optimization of variable-density cellular structures for additive manufacturing: theory and experimental validation
Authors: Cheng Lin , Zhang Pu , Biyikli Emre , Bai Jiaxi , Robbins Joshua , To Albert 
Published: May 2017

Purpose
The purpose of the paper is to propose a homogenization-based topology optimization method to optimize the design of variable-density cellular structure, in order to achieve lightweight design and overcome some of the manufacturability issues in additive manufacturing.

Design/methodology/approach
First, homogenization is performed to capture the effective mechanical properties of cellular structures through the scaling law as a function their relative density. Second, the scaling law is used directly in the topology optimization algorithm to compute the optimal density distribution for the part being optimized. Third, a new technique is presented to reconstruct the computer-aided design (CAD) model of the optimal variable-density cellular structure. The proposed method is validated by comparing the results obtained through homogenized model, full-scale simulation and experimentally testing the optimized parts after being additive manufactured.

Findings
The test examples demonstrate that the homogenization-based method is efficient, accurate and is able to produce manufacturable designs.

Originality/value
The optimized designs in our examples also show significant increase in stiffness and strength when compared to the original designs with identical overall weight.
Improvement of FDM parts’ surface quality using optimized neural networks – medical case studies
Authors: Vahabli Ebrahim , Rahmati Sadegh 
Published: May 2017

Purpose
To improve the quality of the additive manufacturing (AM) products, it is necessary to estimate surface roughness distribution in advance. Although surface roughness estimation has been previously studied, factors leading to the creation of a rough surface and a comprehensive test for model validation have not been adequately investigated. Therefore, this paper aims to establish a robust model using empirical data based on optimized artificial neural networks (ANNs) to estimate the surface roughness distribution in fused deposition modelling parts. Accordingly, process parameters such as time, cost and quality should be optimized in the process planning stage.

Design/methodology/approach
Process parameters were selected via a literature review of surface roughness estimation modelling by analytical and empirical methods, and then a specific test part was fabricated to provide a complete evaluation of the proposed model. The ANN structure was optimized by trial and error method and evolutionary algorithms. A novel methodology based on the combination of the intelligent algorithms including the ANN, linked to the particle swarm optimization (PSO) and imperialist competitive algorithm (ICA), was developed. The PSOICA algorithm was implemented to increase the capability of the ANN to perform much faster and converge more precisely to favorable results. The performances of the ANN models were compared to the most well-known analytical models at build angle intervals of equal size. The most effective process variable was found by sensitivity analysis. The validity of proposed model was studied comprehensively where different truncheon parts and medical case studies including molar tooth, skull, femur and a custom-made hip stem were built.

Findings
This paper presents several improvements in surface roughness distribution modelling including a more suitable method for process parameter selection according to the design criteria and improvements in the overall surface roughness of parts as compared to analytical methods. The optimized ANN based on the proposed advanced algorithm (PSOICA) represents precise estimation and faster convergence. The validity assessment confirms that the proposed methodology performs better in varied conditions and complex shapes.

Originality/value
This research fills an important gap in surface roughness distribution estimation modelling by using a test part designed for that purpose and optimized ANN models which uses purely empirical data. The novel PSOICA combination enhances the ability of the ANN to perform more accurately and quickly. The advantage in using actual surface roughness values is that all factors resulting in the creation of a rough surface are included, which is impossible if other methods are used.
Investigation of separation force for constrained-surface stereolithography process from mechanics perspective
Authors: Ye Hang , Venketeswaran Abhishek , Das Sonjoy , Zhou Chi 
Published: May 2017

Purpose
One of the major concerns of the constrained-surface stereolithography (SLA) process is that the built-up part may break because of the force resulting from the pulling-up process. This resultant force may become significant if the interface mechanism between the two contact surfaces (i.e. newly cured layer and the bottom of the resin vat) produces a strong bonding between them. The purpose of this paper is to characterize the separation process between the cured part and the resin vat by adopting an appropriate and simple mechanics-based model that can be used to probe the pulling-up process.

Design/methodology/approach
In this paper, the time-histories of the pulling-up forces are measured using FlexiForce® force sensors. The experimental data are analyzed and used to estimate the constitutive parameters of the separation mechanism. Here, the separation mechanism is modeled based on the concept of cohesive zone model (CZM) that is well-studied in the field of fracture mechanics. By using the experimentally measured pulling-up force, this paper proposes a very efficient inverse technique to estimate the constitutive parameters for the CZM. The constitutive laws for the CZM facilitate in relating the separation force at the interface between the cured part and the resin vat in terms of the pulling-up velocity. Unlike work proposed earlier, computationally expensive full-scale finite element runs are not essential in the current work while estimating the required parameters of the constitutive laws. Instead, mechanics-based computationally efficient surrogate model is proposed to readily estimate these constitutive parameters.

Findings
Two constitutive laws are compared on the basis of their predictions of the separation force profile. Excellent match is obtained between the measured and the predicted separation force profiles.

Originality/value
This paper selects a suitable mechanics-based model that can characterize the separation process and proposes a computationally efficient scheme to estimate the required constitutive parameters. The proposed scheme can be used to reliably predict the separation force for the constrained-surface SLA process, leading to improved productivity and reliability of the SLA processes in fabricating the built-up parts.
Synthesis and properties of modified PBT for FDM
Authors: Cao Shiqing , Yu Dandan , Xue Weilan , Zeng Zuoxiang , Zhu Wanyu 
Published: May 2017

PurposeThe purpose of this paper is to prepare a new modified polybutylene terephalate (MPBT) for fused deposition modeling (FDM) to increase the variety of materials compatible with printing. And the printing materials can be used to print components with a complex structure and functional mechanical parts.Design/methodology/approachThe MPBT, poly(butylene terephalate-co-isophthalate-co-sebacate) (PBTIS), was prepared for FDM by direct esterification and subsequent polycondensation using terephthalic acid (PTA), isophthalic acid (PIA), sebacic acid (SA) and 1,4-butanediol (BDO). The effects of the content of PIA (20-40 mol%) on the mechanical properties of PBTIS were investigated when the mole per cent of SA (αSA) is zero. The effects of αSA(0-7mol%) on the thermal, rheological and mechanical properties of PBTIS were investigated atnPTA/nPIA= 7/3. A desktop wire drawing and extruding machine was used to fabricate the filaments, whose printability and anisotropy were tested by three-dimensional (3D) printing experiments.FindingsA candidate content of PIA introducing into PBT was obtained to be about 30 per cent, and the Izod notched impact strength of PBTIS increased with the increase of αSA. The results showed that the PBTIS (nPTA/nPIA= 7/3, αSA= 3-5mol%) is suitable for FDM.Originality/valueNew printing materials with good Izod notched impact strength were obtained by introducing PIA and SA (nPTA/nPIA= 7/3, αSA= 3-5 mol%) into PBT and their anisotropy are better than that of ABS.
Institutions and entrepreneurship: the mediating role of corruption
Authors: Mohammadi Khyareh Mohsen 
Published: May 2017

PurposeThe purpose of this paper is to examine the mediating role of corruption in the relationship between entrepreneurship and institutional quality in a sample of 90 countries from all around the world.Design/methodology/approachThe data were collected from the Global Entrepreneurship Monitor, which developed a model where Corruption Perception Index as a proxy for corruption mediates the relationship between the variable rule of law as a proxy for institutional quality and opportunity entrepreneurship as a proxy for productive entrepreneurship. Correlation, Baron and Kenny approach (causal steps approach) and PROCESS Macro (normal test theory) developed by Hayes were used to find out the direct and indirect effects of institutional quality between corruption and entrepreneurship.FindingsThe bootstrap mediation results indicated that institutional quality was a significant predictor of corruption and corruption was a significant predictor of entrepreneurship. These findings support the mediation hypothesis. In addition, findings showed that there is a negative relation between corruption and productive entrepreneurship and a positive relation between institutional quality and productive entrepreneurship.Research limitations/implicationsThe current study only considered the single proxy for institutional quality, i.e. rule of law; therefore, some other proxies for institutional quality such as government effectiveness and doing business can be used for future studies. Moreover, the proposed model does not control for the country differences like GDP or development stages of countries.Practical implicationsThe findings of this study indicate that the total association between institutional quality and entrepreneurship is not only direct but also that rule of law contributes to levels of entrepreneurship through reduced levels of corruption. As a result, countries with higher levels of rule of law tended to experience corruption at lower levels, which in turn contributed to the emergence of increased levels of entrepreneurship. Furthermore, these results may be beneficial for organizations fighting against corruption, because entrepreneurial activity can be add to the group of economical drivers constrained by corruption. It is also beneficial for policy makers who focus on promoting entrepreneurship, since one way to increase entrepreneurial activity is to lower the existing corruption level.Originality/valueThe results indicated that the direct effect of institutional quality on the entrepreneurship remained significant when controlling for corruption, thus suggesting partial mediation. In other words, corruption only mediates part of the effect of institutional quality on entrepreneurship, that is, the intervention (institutional quality) has some residual direct effect even after the mediator (corruption) was introduced into the model.