bluuebunny/crossref_metadata_2025_split huggingface dataset:
An empirical study on entrepreneurial bricolage behavior for sustainable enterprise performance of startups
Authors: Sivathanu Brijesh , Pillai Rajasshrie 
Published: August 2019

Purpose
This paper aims to study is to empirically investigate the role of entrepreneurial orientation (EOR), entrepreneurial bricolage (EBR), technology orientation (TOR), sustainability orientation (SOR) and Trust (TUR) in the sustainable enterprise performance (SEP) of tech startups in India. It uses a framework grounded in the EBR theory, upper echelon theory and resource-based view theory.

Design/methodology/approach
A primary survey was conducted using a structured questionnaire amongst 285 sample respondents from 425 tech startups and the data were analyzed using the partial least squares-structural equation modeling technique.

Findings
The findings suggest that EOR and TOR significantly influence SEP. SOR and TUR do not significantly affect the SEP. EBR plays a significant mediating role between TOR and EOR and SEP in the context of Indian technology-based startups.

Research limitations/implications
This cross-sectional study has a geographic limitation as it was conducted in Mumbai, Bangalore and Pune and their suburbs. As this study was carried out in the context of tech startups in a developing country such as India, caution needs to be exercised while generalizing the findings of this study to other regions, countries and cultural contexts.

Practical implications
This study highlights the significance of TOR and EOR in the long-term SEP to the budding entrepreneurs who have strong EOR and deploy EBR strategy to start their new business ventures. It also infers that few of the reasons for the failure of tech startups are because of the lack of attention to TUR and SOR.

Originality/value
This study has a novel contribution as it empirically validates the role of multiple constructs such as EOR, TOR, TUR, SOR and EBR toward SEP in a resource-constrained startup environment in the context of a developing country such as India.
Application of data mining for spare parts information in maintenance schedule: a case study
Authors: Moharana U.C. , Sarmah S.P. , Rathore Pradeep Kumar 
Published: August 2019

Purpose
The purpose of this paper is to suggest a framework for extracting the sequential patterns of maintenance activities and related spare parts information from historical records of maintenance data with pre-defined support or threshold values.

Design/methodology/approach
A data mining approach has been adopted for predicting the maintenance activity along with spare parts. It starts with a collection of spare parts and maintenance data, and then the development of sequential patterns followed by formation of frequent spare part groups, and finally, integration of sequential maintenance activities with the associated spare parts.

Findings
This study suggests a framework for extracting the sequential patterns of maintenance activities from historical records of maintenance data with pre-defined support or threshold values. A rule-based approach is proposed in this paper to predict the occurrence of next maintenance activity along with the information of spare parts consumption for that maintenance activity.

Research limitations/implications
Presented model can be extended for analyzing the failure maintenance activities and performing root cause analysis that can give more valuable suggestion to maintenance managers to take corrective actions prior to next occurrence of failures. In addition, the timestamp information can be utilized to prioritize the maintenance activity that is ignored in this study.

Practical implications
The proposed model has a high potential for industrial applications and is validated through a case study. The study suggests that the model gives a better approach for selecting spare parts based on their similarity or correlation, considering their actual occurrence during maintenance activities. Apart from this, the clustering of spare parts also trains maintenance manager to learn about the dependency among the spares for group stocking and maintaining the parts availability during maintenance activities.

Originality/value
This study has used the technique of data mining to find dependent spare parts itemset from the database of the company and developed the model for associated spare parts requirement for subsequent maintenance activity.
Learning the “systems language”: the current challenge for engineering education
Authors: López Garay Hernán , Reyes Alfonso 
Published: August 2019

Purpose
Present-day engineering education is in dire need to expose would-be engineers to a systemic view of the world. Society’s problems are getting increasingly complex “wicked” problems, and they require inter and transdisciplinary approaches to understand and “dissolve” them (that is to solve them systemically). In this context, the purpose of this paper is to invite engineering educators to reflect on the need to teach systems thinking and spark their interest on finding appropriate methods to do so. This paper aims to describe an actual intervention at Universidad de Ibagué (UNIBAGUE), Colombia, where the methodology of teaching systems thinking as a foreign language has been on trial for one year.

Design/methodology/approach
Starting with a simple model of teaching systems thinking, and using an action-research methodology, the teaching model is gradually evolved to a model for teaching systems thinking as a foreign language.

Findings
The authors only have preliminary qualitative results with this systems-thinking teaching model. Although these results are encouraging (the authors think basic systems concepts are better apprehended by the students), further research is needed. One objective of the present paper is precisely to invite engineering educators to experiment with this teaching model.

Research limitations/implications
The authors think it is necessary to exploit further the teaching-a-foreign-language analogy. There is a vast experience on methods for teaching second and foreign languages. They could enrich the method and hint at possible directions for further research.

Practical implications
Teaching systems thinking is a field still open for wide research. The pedagogical model developed in this research to teach systems thinking could benefit other teachers of systems thinking to build upon.

Social implications
As one of the referees pointed out: “The implications of the insides obtained in this research are very significant to society. The problem observed in the systems thinking researchers and practitioner's community about how to disseminate systems thinking knowledge and how to embed this way of thinking into the minds of young people (K-12, university, etc.) is addressed in this research. In it is shown an experience that provides very valuable insides about how this can be done.

Originality/value
The idea of teaching systems thinking as a foreign language has not been widely explored. Furthermore, we feel that inasmuch as systems thinking is more of a skill or competency, than a technique or theory, then the model of teaching which emerges from this case study might be more appropriate than models of teaching based in the old educational paradigm.
Optimal production lot sizing for an imperfect manufacturing system with machine breakdown and emergency maintenance policy
Authors: Lai Xinfeng , Chen Zhixiang , Sarker Bhaba R. 
Published: August 2019

Purpose
The purpose of this paper is to study a production lot sizing problem with consideration of imperfect manufacturing and emergency maintenance policy, providing managerial implication for practitioners.

Design/methodology/approach
In this study, the authors introduce two models, where in Model I, shortages are not allowed and repair times are negligible. In Model II, shortages are allowed and are partially backlogged, and repair times are assumed to be exponentially distributed, algorithm is developed to solve the models, numerical examples were demonstrated the applications.

Findings
Results show that in the Model I, demand rate is the most significant parameter affecting the average expected cost, whereas the time needed to breakdown after machine shift is the most significant factor affecting the production lot size. Therefore, reduction in the time needed to breakdown after machine shift would be helpful for determining an appropriate production lot size in Model I. In Model II, repair time parameter is the most significant factor affecting the average expected cost. Reducing the value of machine shift parameter would be helpful for determining an adequate production lot size and reducing decision risk.

Practical implications
This paper can provide important reference value for practitioners with managerial implication of how to effectively maintain equipment, i.e. how to make product lot size considering the influence of the maintenance policy.

Originality/value
From the aspect of academia, this paper provides a solution to the optimal production lot sizing decision for an imperfect manufacturing system with consideration of machine breakdown and emergency maintenance, which is a supplement to imperfect EMQ model.
Designing a qualitative system dynamics model of crowdfunding by document model building
Authors: Haji Gholam Saryazdi Ali , Rajabzadeh Ghatari Ali , Mashayekhi Alinaghi , Hassanzadeh Alireza 
Published: August 2019

Purpose
The purpose of this paper is to design a qualitative model of crowdfunding dynamics through the document model building (DMB).

Design/methodology/approach
Methodology in this paper is the qualitative system dynamics through DMB. In DMB, the authors identify the variables that are drivers of its growth and collapse, and the model will be developed by using the systematic review of the literature.

Findings
Designing of the dynamics of crowdfunding model through DMB. Identifying variables that are drivers of crowdfunding growth and collapse. Determining leverage points in crowdfunding diffusion.

Originality/value
This paper, for the first time, with the aim of identifying and explaining the efficient positive and negative dynamics in this method, examines crowdfunding systematically and structurally.
Research on an automatic leveling method with a feedback mode for a parallel 3D printer
Authors: Wang Yuezong , Wang Zhaodong , Guo Mengfei , Zhang Xin 
Published: August 2019

Purpose
The purpose of this study is to propose an automatic leveling method for a printing platform based on a three-point coordinate feedback. The proposed method is used in fused deposition modeling additive manufacturing systems. The coordinate error of the leveled plane is constrained to within Â ± 0.2 mm, which is less than the printed layer thickness.

Design/methodology/approach
First, the model of the forward and inverse solutions of the parallel arm is obtained based on the principles of vector algebra. Second, the automatic leveling mechanism for collecting the z-coordinate is designed. The best position of the virtual origin plane is obtained by comparing the z-coordinates of the test points. Finally, after making multiple adjustments through a closed-loop z-coordinate feedback, the parallelism of the printing plane and the virtual origin plane is limited to an effective range.

Findings
The experimental results show that after three leveling attempts, the z-coordinate of the test points can be constrained to within Â ± 0.2 mm, which shows that this method can effectively achieve automatic leveling in a delta three-dimensional (3D) printer.

Originality/value
This study presents a novel and distinctive delta 3D printer leveling system by designing a leveling mechanism and a leveling algorithm. The method uses a closed-loop feedback mode to make the leveling process simple, convenient and efficient without requiring major changes to the printer. The error after leveling is less than the printed layer thickness, which fully guarantees the accuracy of the leveling process.
Optimising the FDM additive manufacturing process to achieve maximum tensile strength: a state-of-the-art review
Authors: Gordelier Tessa Jane , Thies Philipp Rudolf , Turner Louis , Johanning Lars 
Published: August 2019

Purpose
Additive manufacturing or “3D printing” is a rapidly expanding sector and is moving from a prototyping service to a manufacturing service in its own right. With a significant increase in sales, fused deposition modelling (FDM) printers are now the most prevalent 3D printer on the market. The increase in commercial manufacturing necessitates an improved understanding of how to optimise the FDM printing process for various product mechanical properties. This paper aims to identify optimum print parameters for the FDM process to achieve maximum tensile strength through a review of recent studies in this field.

Design/methodology/approach
The effect of the governing printing parameters on the tensile strength of printed samples will be considered, including material selection, print orientation, raster angle, air gap and layer height.

Findings
The key findings include material recommendations, such as the use of emerging print materials like polyether-ether-ketone (PEEK), to produce samples with tensile strength over 200 per cent that of conventional materials such as acrylonitrile butadiene styrene (ABS). Amongst other parameters, it is shown that printing in the “upright” orientation should be avoided (samples can be up to 50 per cent weaker in this orientation) and air gap and raster width should be concurrently optimised to ensure good “inter-raster” bonding. The optimal choice of raster angle depends on print material; in ABS for example, selecting a 0° raster angle over a 90° angle can increase tensile strength by up to 100 per cent.

Originality/value
The paper conclusions provide researchers and practitioners with an up-to-date, single point reference, highlighting a series of robust recommendations to optimise the tensile strength of FDM-printed samples. Improving the mechanical performance of FDM-printed samples will support the continued growth of this technology as a viable production technique.
Acoustic manipulation of microparticle in a cylindrical tube for 3D printing
Authors: Sriphutkiat Yannapol , Zhou Yufeng 
Published: August 2019

Purpose
The capability of microparticle/objects patterning in the three-dimensional (3D) printing structure could improve its performance and functionalities. This paper aims to propose and evaluate a novel acoustic manipulation approach.

Design/methodology/approach
A novel method to accumulate the microparticles in the cylindrical tube during the 3D printing process is proposed by acoustically exciting the structural vibration of the cylindrical tube at a specific frequency, and subsequently, focusing the 50-μm polystyrene microparticles at the produced pressure node toward the center of the tube by the acoustic radiation force. To realize this solution, a piezoceramic plate was glued to the outside wall of a cylindrical glass tube with a tapered nozzle. The accumulation of microparticles in the tube and printing structure was monitored microscopically and the accumulation time and width were quantitatively evaluated. Furthermore, the application of such technology was also evaluated in the L929 and PC-12 cells suspended in the sodium alginate and gelatin methacryloyl.

Findings
The measured location of pressure and the excitation frequency of the cylindrical glass tube (172 kHz) agreed quite well with our numerical simulation (168 kHz). Acoustic excitation could effectively and consistently accumulate the microparticles. It is found that the accumulation time and width of microparticles in the tube increase with the concentration of sodium alginate and microparticles in the ink. As a result, the microparticles are concentrated mostly in the central part of the printing structure. In comparison to the conventional printing strategy, acoustic excitation could significantly reduce the width of accumulated microparticles in the printing structure (p < 0.05). In addition, the possibility of high harmonics (385 and 657 kHz) was also explored. L929 and PC-12 cells suspended in the hydrogel can also be accumulated successfully.

Originality/value
This paper proves that the proposed acoustic approach is able to increase the accuracy of printing capability at a low cost, easy configuration and low power output.
Design for additive manufacturing – a review of available design methods and software
Authors: Wiberg Anton , Persson Johan , Ölvander Johan 
Published: August 2019

Purpose
This paper aims to review recent research in design for additive manufacturing (DfAM), including additive manufacturing (AM) terminology, trends, methods, classification of DfAM methods and software. The focus is on the design engineer’s role in the DfAM process and includes which design methods and tools exist to aid the design process. This includes methods, guidelines and software to achieve design optimization and in further steps to increase the level of design automation for metal AM techniques. The research has a special interest in structural optimization and the coupling between topology optimization and AM.

Design/methodology/approach
The method used in the review consists of six rounds in which literature was sequentially collected, sorted and removed. Full presentation of the method used could be found in the paper.

Findings
Existing DfAM research has been divided into three main groups – component, part and process design – and based on the review of existing DfAM methods, a proposal for a DfAM process has been compiled. Design support suitable for use by design engineers is linked to each step in the compiled DfAM process. Finally, the review suggests a possible new DfAM process that allows a higher degree of design automation than today’s process. Furthermore, research areas that need to be further developed to achieve this framework are pointed out.

Originality/value
The review maps existing research in design for additive manufacturing and compiles a proposed design method. For each step in the proposed method, existing methods and software are coupled. This type of overall methodology with connecting methods and software did not exist before. The work also contributes with a discussion regarding future design process and automation.
Road verges support pollinators in agricultural landscapes, but are diminished by heavy traffic and summer cutting
Authors: Phillips Benjamin B. , Gaston Kevin J. , Bullock James M. , Osborne Juliet L. 
Published: August 2019

Abstract

Supporting pollinators in agricultural landscapes is important for reversing their global decline. Road verges and hedges are used by pollinators for feeding and reproduction, but few studies consider entire pollinator communities, and it remains unclear how they are distributed across adjacent verges, hedges and fields, or how they are affected by traffic and verge cutting.

We surveyed flowers and pollinators, using transect counts and pan traps, to explore the role of road verges and their associated hedges in supporting pollinators in an agricultural landscape in southwest England, and the impacts of traffic and verge cutting. At 19 sites, we surveyed the road verge (verge edge and verge centre), the verge hedge (both sides), a field hedge and the field interior.

Road verges and hedges had a much greater flower abundance, flower species richness and pollinator abundance than field interiors. Verge hedges had far less woody cover than field hedges, but greater flower species richness.

There were fewer pollinators along verge edges (next to roads) than along verge centres (2–11 m from roads) and fewer pollinators in road verges next to busier roads.

Road verges were generally cut once (in summer), and cuttings were never removed. There were substantially fewer flowers and pollinators in road verges that had been cut, even though surveys often took place many weeks after cutting.

Synthesis and applications. Road verges and their associated hedges can provide hotspots of resources for pollinators in agricultural landscapes, but their capacity to do so is reduced by heavy traffic and summer verge cutting. We recommend that beneficial management for pollinators should prioritize wider road verges (at least 2 m wide), roads with less traffic, and areas away from the immediate vicinity of the road. Where possible, verge cutting should not be carried out during peak flowering times.
A systematic review of upper limb activity measures for 5‐ to 18‐year‐old children with bilateral cerebral palsy
Authors: Burgess Andrea , Boyd Roslyn N. , Ziviani Jenny , Sakzewski Leanne 
Published: August 2019

AimTo investigate measurement properties and feasibility of upper limb activity measures in children aged 5–18 years with bilateral cerebral palsy (CP).MethodsFive electronic databases were searched to identify measures of upper limb activity with published psychometric data for children with bilateral CP aged 5–18 years. Measures included both Patient‐Reported Outcome Measures (PROMs) and observational measures. The COnsensus‐based Standards for selection of health Measurement Instruments checklist was used to evaluate methodological quality of studies for each measure.ResultsForty‐eight measures were identified, eight of which met inclusion criteria for reliability and validity. Four PROMs were included: the ABILHAND‐Kids and Children’s Arm Rehabilitation Measure are parent questionnaires measuring overall manual ability; the ACTIVLIM‐CP is a parent questionnaire measuring global activity (upper and lower extremity) performance, and, the Pediatric Upper Limb Measure, Short Form is a child self‐report questionnaire. Four observational measures were included: the Both Hands Assessment (BoHA) is an observational measure of bimanual activity performance; the Melbourne Assessment of Unilateral Upper Limb Function and the Melbourne Assessment 2 measure quality of movement of each upper limb separately, and the Peabody Developmental Motor Scales‐Second Edition assesses fine motor skill capacity in young children. Based upon available evidence, the most suitable PROM for evaluation of upper limb activity in children with bilateral CP is the ACTIVLIM‐CP, and the most suitable observational measure is the BoHA.ConclusionSelection of upper limb measures depend on clinical information required and available resources. The BoHA is the only observational‐based assessment which measures bimanual upper limb activity performance in children with bilateral CP. Recommendation for future measurement studies include familiarisation with the standards required for excellence, which include adequate sample size and content validity studies for PROMs.
Coming to grips with corporate governance in local government
Authors: Lohrey Robin C. , Horner Claire A. , Williams Belinda R. , Wilmshurst Trevor D. 
Published: August 2019

AbstractLocal government, the tier of government closest to the people, provides services and infrastructure which impact daily on the well‐being of local communities. Despite the Australian state‐based regulatory framework, governance dysfunction regularly results in dismissal of councils. This paper seeks to gain an insight into what is understood by corporate governance at the local government level, an area not addressed in previous research. The methodology was a case study of one local municipality in Tasmania using explanatory sequential mixed methods. Findings revealed a narrow compliance‐based understanding, with effective accountability strategies not included in that understanding. Diverse information sources, such as previous employment experience and industry‐based training, led to embedded beliefs about the meaning of corporate governance which were not necessarily shared by all. This study has implications for state governments seeking to find long‐term solutions for dysfunctional councils, and to bring about positive change.