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Open Access
Article
Publication date: 22 September 2020

Hung T. Nguyen

While there exist many surveys on the use stochastic frontier analysis (SFA), many important issues and techniques in SFA were not well elaborated in the previous surveys…

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Abstract

Purpose

While there exist many surveys on the use stochastic frontier analysis (SFA), many important issues and techniques in SFA were not well elaborated in the previous surveys, namely, regular models, copula modeling, nonparametric estimation by Grenander’s method of sieves, empirical likelihood and causality issues in SFA using regression discontinuity design (RDD) (sharp and fuzzy RDD). The purpose of this paper is to encourage more research in these directions.

Design/methodology/approach

A literature survey.

Findings

While there are many useful applications of SFA to econometrics, there are also many important open problems.

Originality/value

This is the first survey of SFA in econometrics that emphasizes important issues and techniques such as copulas.

Details

Asian Journal of Economics and Banking, vol. 4 no. 3
Type: Research Article
ISSN: 2615-9821

Keywords

Book part
Publication date: 18 November 2020

Anh Ngoc Cao and Tanya Wyatt

Unsustainable logging and illegal logging for domestic and international trade and trafficking continue to lead to deforestation. It is crucial that Sustainable…

Abstract

Unsustainable logging and illegal logging for domestic and international trade and trafficking continue to lead to deforestation. It is crucial that Sustainable Development Goal 15 ‘Sustainably manage forests, combat desertification, halt and reverse land degradation, halt biodiversity loss’ is achieved to maintain the livelihoods of people and protect the planet. This is the case in Vietnam as well, where many people, including indigenous groups, rely on the forest for their survival. Drawing on semistructured interviews in Vietnam and a literature review, we investigate how the abuse of forest policies leads to human insecurity. From this, we propose solutions to (1) end unsustainable harvesting and illegal logging (SDG 15.7), (2) integrate the value of forests (culturally and economically) into national and local planning, the development process and poverty elimination strategies (SDG 15.9) and (3) improve the use of forest protection funding provided by international donors.

Details

The Emerald Handbook of Crime, Justice and Sustainable Development
Type: Book
ISBN: 978-1-78769-355-5

Keywords

Article
Publication date: 1 February 1979

H. McCallion, G.R. Johnson and D.T. Pham

The insertion of a peg in a hole is the final phase in the assembly of a peg and a block with a hole. This paper briefly analyses the physical interaction between these…

Abstract

The insertion of a peg in a hole is the final phase in the assembly of a peg and a block with a hole. This paper briefly analyses the physical interaction between these two components during insertion, describes a simple fine‐motion device which utilizes this interaction to insert pegs into closely‐fitting holes, and discusses possible variations to the construction of the device.

Details

Industrial Robot: An International Journal, vol. 6 no. 2
Type: Research Article
ISSN: 0143-991X

Article
Publication date: 12 March 2020

Shekhar Srivastava, Rajiv Kumar Garg, Vishal S. Sharma, Noe Gaudencio Alba-Baena, Anish Sachdeva, Ramesh Chand and Sehijpal Singh

This paper aims to present a systematic approach in the literature survey related to metal additive manufacturing (AM) processes and its multi-physics continuum modelling…

Abstract

Purpose

This paper aims to present a systematic approach in the literature survey related to metal additive manufacturing (AM) processes and its multi-physics continuum modelling approach for its better understanding.

Design/methodology/approach

A systematic review of the literature available in the area of continuum modelling practices adopted for the powder bed fusion (PBF) AM processes for the deposition of powder layer over the substrate along with quantification of residual stress and distortion. Discrete element method (DEM) and finite element method (FEM) approaches have been reviewed for the deposition of powder layer and thermo-mechanical modelling, respectively. Further, thermo-mechanical modelling adopted for the PBF AM process have been discussed in detail with its constituents. Finally, on the basis of prediction through thermo-mechanical models and experimental validation, distortion mitigation/minimisation techniques applied in PBF AM processes have been reviewed to provide a future direction in the field.

Findings

The findings of this paper are the future directions for the implementation and modification of the continuum modelling approaches applied to PBF AM processes. On the basis of the extensive review in the domain, gaps are recommended for future work for the betterment of modelling approach.

Research limitations/implications

This paper is limited to review only the modelling approach adopted by the PBF AM processes, i.e. modelling techniques (DEM approach) used for the deposition of powder layer and macro-models at process scale for the prediction of residual stress and distortion in the component. Modelling of microstructure and grain growth has not been included in this paper.

Originality/value

This paper presents an extensive review of the FEM approach adopted for the prediction of residual stress and distortion in the PBF AM processes which sets the platform for the development of distortion mitigation techniques. An extensive review of distortion mitigation techniques has been presented in the last section of the paper, which has not been reviewed yet.

Book part
Publication date: 19 October 2021

Vu Manh Hoai Nguyen, Van Thi Bich Nguyen, Dinh Nguyen-Cuu, Van Thi Thu Nguyen, Phuong Ly Ngoc, Thuy Thi Ngoc Ngo and Binh Tran-Nam

Most governments around the world rely heavily on tax revenue to fund not only their recurrent expenditure but also their long-term development goals. There is some…

Abstract

Most governments around the world rely heavily on tax revenue to fund not only their recurrent expenditure but also their long-term development goals. There is some evidence suggesting that tax evasion in Vietnam has, over the years, been on the rise in terms of number, scale and degree of sophistication. It may thus be beneficial to understand the extent to which various relevant psychological factors interact to influence the tax compliance of Vietnamese taxpayers. This chapter attempts to quantify the effects of taxpayer's emotion, trust and perception on their tax compliance in Vietnam. It adopts a positivist research framework, a quantitative research method and primary data collection. First, a simple, theoretical model in which emotion and trust affect tax compliance both directly and indirectly through perception as a mediating variable, is constructed. The Baron−Kenny method is then applied to the data collected from an e-survey to test various hypotheses derived from the devised theoretical model. The results show that taxpayer's perception positively and significantly influences tax compliance whereas emotion and trust exert significant and positive effects on tax compliance both directly and indirectly (via perception). The findings suggest that voluntary tax compliance in Vietnam can be improved through better tax administration services, more fiscal policy accountability and pro-active tax socialization.

Details

Advances in Taxation
Type: Book
ISBN: 978-1-80071-674-2

Keywords

Article
Publication date: 18 May 2021

Mohammad Javad Hooshmand, Saeed Mansour and Amin Dehghanian

The advancement of additive manufacturing technologies has resulted in producing parts of high quality and reduced manufacturing time. This paper aims to achieve a…

Abstract

Purpose

The advancement of additive manufacturing technologies has resulted in producing parts of high quality and reduced manufacturing time. This paper aims to achieve a simultaneous optimal solution for build time and surface roughness as the output data and also to find the best values for the input data consisting of build orientation, extrusion width, layer thickness, infill percentage and raster angle.

Design/methodology/approach

For this purpose, the effects of process parameters on the response variables were investigated by the design of experiments approach to develop empirical models using response surface methodology. The experimental parts of this research were conducted using an inexpensive and locally assembled fused filament fabrication (FFF) machine. A total of 50 runs for 4 different geometries, namely, cylinder, prism, 3DBenchy and twist gear vase, were performed using the rotatable central composite design, and each process parameters were investigated in two levels to develop empirical models. Also, a novel optimization method, namely, the posterior-based method, was accomplished to find the best values for the response variables.

Findings

The results demonstrated that not only the build orientation and layer thickness have notable effects on both response variables but also build time is dependent on extrusion width and infill percentage. Low infill percentage and high extrusion width resulted in increasing build time. By reducing layer thickness and infill percentage while increasing extrusion width, parts of high-quality surface finish and reduced built time were produced. Optimum process parameters were found to be of build direction of 0°, extrusion width of 0.61 mm, layer thickness of 0.22 mm, infill percentage of 20% and raster angle of 0°.

Originality/value

Through the developed empirical models and by minimizing build orientation and layer thickness, and also considerations for process parameters, parts of high-quality surface finish and reduced built time could be produced on FFF machines. To compensate for increased build time because of reduction in layer thickness, extrusion width and infill percentage must have their maximum and minimum value, respectively.

Details

Rapid Prototyping Journal, vol. 27 no. 5
Type: Research Article
ISSN: 1355-2546

Keywords

Article
Publication date: 21 March 2016

Yicha Zhang, Alain Bernard, Ravi Kumar Gupta and Ramy Harik

The purpose of this paper is to present research work based on the authors’ conceptual framework reported in the VRAP Conference 2013. It is related with an efficient…

1179

Abstract

Purpose

The purpose of this paper is to present research work based on the authors’ conceptual framework reported in the VRAP Conference 2013. It is related with an efficient method to obtain an optimal part build orientation for additive manufacturing (AM) by using AM features with associated AM production knowledge and multi-attribute decision-making (MADM). The paper also emphasizes the importance of AM feature and the implied AM knowledge in AM process planning.

Design/methodology/approach

To solve the orientation problem in AM, two sub-tasks, the generation of a set of alternative orientations and the identification of an optimal one within the generated list, should be accomplished. In this paper, AM feature is defined and associated with AM production knowledge to be used for generating a set of alternative orientations. Key attributes for the decision-making of the orientation problem are then identified and used to represent those generated orientations. Finally, an integrated MADM model is adopted to find out the optimal orientation among the generated alternative orientations.

Findings

The proposed method to find out an optimal part build orientation for those parts with simple or medium complex geometric shapes is reasonable and efficient. It also has the potential to deal with more complex parts with cellular or porous structures in a short time by using high-performance computers.

Research limitations/implications

The proposed method is a proof-of-concept. There is a need to investigate AM feature types and the association with related AM production knowledge further so as to suite the context of orientating parts with more complex geometric features. There are also research opportunities for developing more advanced algorithms to recognize AM features and generate alternative orientations and refine alternative orientations.

Originality/value

AM feature is defined and introduced to the orientation problem in AM for generating the alternative orientations. It is also used as one of the key attributes for decision-making so as to help express production requirements on specific geometric features of a desired part.

Details

Rapid Prototyping Journal, vol. 22 no. 2
Type: Research Article
ISSN: 1355-2546

Keywords

Article
Publication date: 6 November 2020

Irfan Ullah, Muhammad Ansar Majeed, Hong-Xing Fang and Muhammad Arif Khan

This study aims to investigate how the presence of female CEOs (FCEOs) affects investment efficiency in emerging economy, where female participation in business activities…

Abstract

Purpose

This study aims to investigate how the presence of female CEOs (FCEOs) affects investment efficiency in emerging economy, where female participation in business activities is limited.

Design/methodology/approach

This paper investigates the impact of CEO gender on investment efficiency by using investment efficiency measures proposed by Biddle et al. (2009), Chen et al. (2011) and Chen et al. (2013).

Findings

The findings suggest that FCEOs are associated with high level of investment efficiency. FCEOs improve corporate governance, streamline management and reduce inefficient investment decisions. In addition, FCEOs focus more on curbing underinvestment than overinvestment when making investment decisions. Furthermore, high financial reporting quality (FRQ) strengthens the effect of FCEOs on investment efficiency. The results suggest that FCEOs do not ameliorate the investment efficiency of state-owned enterprises.

Originality/value

This study enhances our understanding of the effects of FCEOs on corporate investment decisions in a male-dominated society. Efficient use of resources is vital from corporate and societal perspectives. Emerging economies are characterized by the unstable political and economic environment and low participation of females in decision-making. Hence, these economies require efficient utilization of resources. This study also sheds light on the role of FCEOs in curtailing underinvestment in emerging economies. It proves that FRQ is important in emerging economies because it strengthens the governance role of FCEOs.

Details

Pacific Accounting Review, vol. 32 no. 4
Type: Research Article
ISSN: 0114-0582

Keywords

Article
Publication date: 10 October 2016

V. Raja Sreedharan and R. Raju

The purpose of this paper is to review Lean Six Sigma (LSS) literature and report different definitions, demographics, methodologies and industries.

3951

Abstract

Purpose

The purpose of this paper is to review Lean Six Sigma (LSS) literature and report different definitions, demographics, methodologies and industries.

Design/methodology/approach

This paper highlights various definitions by different researchers and practitioners. A total of 235 research papers has been reviewed for the LSS theme, research methodology adopted, type of industry, author profile, country of research and year of publication.

Findings

From the review, four significant LSS classifications were identified that deal with the spread of LSS in different industries followed by observation for classification.

Practical implications

LSS is a strategy for success, but it did not examine its presence in various Industries. From this paper, readers can understand the quantum of its spread before implementing LSS. For academicians, it will be a comprehensive list of papers for research.

Originality/value

This paper reviews 235 research papers for their year, author profile, research methodology and type of industry. Various characteristics of LSS definitions and their theme are also reviewed.

Details

International Journal of Lean Six Sigma, vol. 7 no. 4
Type: Research Article
ISSN: 2040-4166

Keywords

Open Access
Article
Publication date: 5 April 2022

Siti Hajar Hussein, Suhal Kusairi and Fathilah Ismail

This study aims to develop an educational tourism demand model, particularly in respect to dynamic effects, university quality (QU) and competitor countries. Educational…

Abstract

Purpose

This study aims to develop an educational tourism demand model, particularly in respect to dynamic effects, university quality (QU) and competitor countries. Educational tourism has been identified as a new tourism sub-sector with high potential, and is thus expected to boost economic growth and sustainability.

Design/methodology/approach

This study reviews the literature on the determinants of educational tourism demand. Even though the existing literature is intensively discussed, mostly focusing on the educational tourism demand from an individual consumer's perspective, this study makes an innovation in line with the aggregate demand view. The study uses data that consist of the enrolment of international students from 47 home countries who studied in Malaysia from 2008 to 2017. The study utilised the dynamic panel method of analysis.

Findings

This study affirms that income per capita, educational tourism price, price of competitor countries and quality of universities based on accredited programmes and world university ranking are the determinants of educational tourism demand in both the short and the long term. Also, a dynamic effect exists in educational tourism demand.

Research limitations/implications

The results imply that government should take the quality of services for existing students, price decisions and QU into account to promote the country as a tertiary education hub and achieve sustainable development.

Originality/value

Research on the determinants of the demand for educational tourism is rare in terms of macro data, and this study includes the roles of QU, competitor countries and dynamic effects.

Details

Journal of Tourism Futures, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2055-5911

Keywords

1 – 10 of over 3000