Search results

1 – 10 of 412
To view the access options for this content please click here
Article

Akhtar Khan and Kalipada Maity

To explore a hybrid approach in order to attain optimal cutting conditions proficient of generating adequate dimensional accuracy in combination with virtuous surface…

Abstract

Purpose

To explore a hybrid approach in order to attain optimal cutting conditions proficient of generating adequate dimensional accuracy in combination with virtuous surface finish during turning of commercially pure titanium (CP-Ti) grade 2.

Design/methodology/approach

In the present paper, an application of the hybrid fuzzy–VIKOR method has been proposed to estimate an optimal combination of process variables during turning of commercially pure titanium (CP-Ti) grade 2. Three distinct input factors, namely, cutting speed, feed rate and depth of cut, were selected, each varied at three levels. Thus, a series of experiments were performed based on Taguchi's 3-factor-3-level (L27) orthogonal array. The major attention was given to acquire minimum cutting force and flank wear along with good surface finish. The adequacy of the proposed methodology was verified with the help of ANOVA test.

Findings

The results of the investigation revealed that the suggested hybrid technique is quite effective, easily understandable and time-saving approach, which can be successfully implemented to solve various problems either of similar or of different kinds.

Originality/value

Increasing demand of qualitative as well as low cost products is identified as the main challenging task in the current competitive market. Therefore, estimation and selection of the most suitable machining environment are of paramount importance in a real-time manufacturing system. Machining process involves both qualitative and quantitative factors, may be conflicting in nature, all to be considered together. Consequently, an appropriate combination of the machining variables is evidently desirable to meet the aforesaid challenges effectively.

Details

Grey Systems: Theory and Application, vol. 10 no. 3
Type: Research Article
ISSN: 2043-9377

Keywords

To view the access options for this content please click here
Article

Waheed Ali, Wen Jun, Hadi Hussain, Nadeem Akhtar Khan, Muhammad Waleed Younas and Ihsan Jamil

In the era of knowledge economy, the significance of intellectual capital has been increasing globally. Similarly, recent studies have focused on the importance of green…

Abstract

Purpose

In the era of knowledge economy, the significance of intellectual capital has been increasing globally. Similarly, recent studies have focused on the importance of green intellectual capital in mitigating environmental degradation. However, only a few studies have analysed green intellectual capital and its impacts in the specific case of Pakistan. Hence, this study aims to investigate the effects of green intellectual capital on green innovation adoption in Pakistan’s manufacturing small and medium-size enterprises (SMEs).

Design/methodology/approach

We used a data sample of 235 SMEs, gathered from the four manufacturing sectors of Pakistan including: textile, chemical, pharmaceutical and steel and analysed using a multiple regression analysis approach.

Findings

The empirical results of this research indicate that green human capital and green structural capital significantly increase green innovation adoption. However, it must be noted that green relational capital has a positive but insignificant impact on green innovation adoption in manufacturing SMEs in Pakistan.

Originality/value

The findings and recommended policy measures of this study are important for the managers of manufacturing SMEs and policymakers to mitigate environmental destruction and achieve sustainable development through green intellectual capital.

Details

Journal of Intellectual Capital, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1469-1930

Keywords

To view the access options for this content please click here
Article

Wen Jun, Waheed Ali, Muhammad Yaseen Bhutto, Hadi Hussain and Nadeem Akhtar Khan

Currently, environmental and social concerns have made green innovation more popular among researchers and practitioners around the globe. Developed countries tend to…

Abstract

Purpose

Currently, environmental and social concerns have made green innovation more popular among researchers and practitioners around the globe. Developed countries tend to focus more on this issue, compared to developing countries. However, the reality shows that small- to medium-sized enterprises (SMEs) are considered as high contributors to environmental pollution. This study is designed for, and conducted on, SMEs in a developing country, Pakistan. The purpose of this paper is to highlight the main determinants of green innovation adoption in SMEs in Pakistan.

Design/methodology/approach

A data sample of 288 SMEs from five different sectors was collected and analyzed using the partial least squares structural equation modeling technique.

Findings

The results of the study indicate that organizational and human resource factors, market and customer factors, and government support and technological factors have a positive and significant impact, whereas external partnership and cooperation, and rules and regulatory factors have an insignificant impact on green innovation adoption in SMEs in Pakistan.

Originality/value

The outcomes of the study have important implications for managers as well as for government policy makers regarding framing better policies to promote green practices in SMEs.

Details

European Journal of Innovation Management, vol. 24 no. 1
Type: Research Article
ISSN: 1460-1060

Keywords

To view the access options for this content please click here
Article

Akhtar Khan and Kalipada Maity

The purpose of this paper is to explore a multi-criteria decision-making (MCDM) methodology to determine an optimal combination of process parameters that is capable of…

Abstract

Purpose

The purpose of this paper is to explore a multi-criteria decision-making (MCDM) methodology to determine an optimal combination of process parameters that is capable of generating favorable dimensional accuracy and product quality during turning of commercially pure titanium (CP-Ti) grade 2.

Design/methodology/approach

The present paper recommends an optimal combination of cutting parameters with an aim to minimize the cutting force (Fc), surface roughness (Ra), machining temperature (Tm) and to maximize the material removal rate (MRR) after turning of CP-Ti grade 2. This was achieved by the simultaneous optimization of the aforesaid output characteristics (i.e. Fc, Ra, Tm, and MRR) using the MCDM-based TOPSIS method. Taguchi’s L9 orthogonal array was used for conducting the experiments. The output responses (cutting force: Fc, surface roughness: Ra, machining temperature: Tm and MRR) were integrated together and presented in terms of a single signal-to-noise ratio using the Taguchi method.

Findings

The results of the proposed methodology depict that the higher MRR with desirable surface quality and the lower cutting force and machining temperature were observed at a combination of cutting variables as follows: cutting speed of 105 m/min, feed rate of 0.12 mm/rev and depth of cut of 0.5 mm. The analysis of variance test was conducted to evaluate the significance level of process parameters. It is evident from the aforesaid test that the depth of cut was the most significant process parameter followed by cutting speed.

Originality/value

The selection of an optimal parametric combination during the machining operation is becoming more challenging as the decision maker has to consider a set of distinct quality characteristics simultaneously. This situation necessitates an efficient decision-making technique to be used during the machining operation. From the past literature, it is noticed that only a few works were reported on the multi-objective optimization of turning parameters using the TOPSIS method so far. Thus, the proposed methodology can help the decision maker and researchers to optimize the multi-objective turning problems effectively in combination with a desirable accuracy.

Details

Benchmarking: An International Journal, vol. 24 no. 7
Type: Research Article
ISSN: 1463-5771

Keywords

To view the access options for this content please click here
Article

Sourav Kumar Bhoi, Sanjaya Kumar Panda, Kalyan Kumar Jena, Chittaranjan Mallick and Akhtar Khan

Fish are considered as one of the important aquatic animals in the planet. They play a vital role in the nutrient cycle. They can be considered as one of the healthy food…

Abstract

Purpose

Fish are considered as one of the important aquatic animals in the planet. They play a vital role in the nutrient cycle. They can be considered as one of the healthy food for human beings. They can also act as a solution for some of the human health problems. If fish are affected by several diseases, they in turn provide an adverse effect on human health. Therefore, it is very much essential to protect fish from being affected by any diseases.

Design/methodology/approach

This paper is mainly focused on the identification of the red spot diseased area in fish. In this work, a fuzzy rule based method (FRBAM) and triangular membership function (TMFN) is used to identify the red spot disease (RSD) in the fish by analyzing several red spot diseased fish (RSDF) images. The canny edge detector is used for intermediate processing of RSDF images.

Findings

The proposed method is able to identify the red pixels over the fish by marking the affected area with red color by using a standard RGB model.

Originality/value

The proposed method follows FRBAM and TMFN in order to detect the RSD and canny edge detector for processing of RSDF images. Finally, it is tested using ten different image sizes and the results show its better performance in terms of detection of RSD affected regions of fish and execution time.

Details

Grey Systems: Theory and Application, vol. 10 no. 3
Type: Research Article
ISSN: 2043-9377

Keywords

To view the access options for this content please click here
Article

Mohd Muqeem, Ahmad Faizan Sherwani, Mukhtar Ahmad and Zahid Akhtar Khan

Diesel engine can produce power more efficiently with lower exhaust emissions when operated at optimum input parameter settings. To achieve this goal, the purpose of this…

Abstract

Purpose

Diesel engine can produce power more efficiently with lower exhaust emissions when operated at optimum input parameter settings. To achieve this goal, the purpose of this paper is to optimize the input parameters of diesel engine which will lead to optimum performance and exhaust emissions.

Design/methodology/approach

To achieve the goal of improving diesel engine performance and exhaust emissions, four input parameters were considered in the study. Five different levels of each input parameter were taken. Four response variables under no load, half load and full load conditions were recorded. Experiments were performed in random manner according to selected Taguchi L25 orthogonal array. The data were analyzed using grey relational analysis coupled with principal component analysis. Analysis of S/N ratio was performed to obtain the optimum combination of input parameters. The grey relational grade at optimum setting of the input parameters was obtained by regression analysis.

Findings

Results of the current research work give the optimum input parameter settings for no load, half load and full load conditions of diesel engine. Engine produces power more efficiently with low exhaust emissions when operated at these optimum settings.

Practical implications

In view of the compliance to the stringent air pollution norms of the nations and fast depleting fossil fuels, it is of the utmost importance to design and operate the engine in the optimum range of its input parameters so that it produces more power with low exhaust emissions. This paper aims at optimizing input parameters of diesel engine to improve performance and exhaust emissions. Results of the study presented in this paper are significantly useful for diesel engine-related researchers and professionals.

Originality/value

From the literature review, it appears that only few researchers have conducted studies pertaining to the optimization of the input parameters of diesel engine to improve performance or exhaust emissions. Although few studies related to the optimization of compression ratio, fuel injection timing, fuel injection pressure and air pressure have been reported, no work related to optimization of temperature and pressure of turbocharged air has been reported. Therefore, the main focus of the current research work is on optimizing the charge air temperature and pressure with respect to performance and exhaust emissions.

Details

Grey Systems: Theory and Application, vol. 7 no. 3
Type: Research Article
ISSN: 2043-9377

Keywords

To view the access options for this content please click here
Book part

Vergil Joseph I. Literal and Eugenio S. Guhao

The purpose of this study was to identify and determine the best fit model of triple bottom line (TBL) performance. Particularly, it delved into the interrelationships…

Abstract

The purpose of this study was to identify and determine the best fit model of triple bottom line (TBL) performance. Particularly, it delved into the interrelationships among variables which include sustainable management practices, strategic orientation and organizational culture on TBL performance. This study employed descriptive-correlation technique using Structural Equation Modeling. Data were sourced by administering survey questionnaires to 400 individuals performing key functions among large manufacturing companies operating in Region XII, Philippines. Results displayed that sustainable management practices, strategic orientation and organizational culture positively and significantly correlated with TBL performance. Structural Model 4, which depicted the direct causal relationships of sustainable management practices and organizational culture to TBL performance of large manufacturing companies, satisfied all the indices used and was found to be the best fit model. Finally, this study adds value to a growing body of literature viewing TBL through the lens of corporate sustainability.

Details

Recent Developments in Asian Economics International Symposia in Economic Theory and Econometrics
Type: Book
ISBN: 978-1-83867-359-8

Keywords

To view the access options for this content please click here
Expert briefing

The Pakistan Muslim League-Nawaz (PML-N)’s five-year term ended on May 31. PML-N President Shehbaz Sharif faces a tough fight to become prime minister, with the main…

Details

DOI: 10.1108/OXAN-DB236297

ISSN: 2633-304X

Keywords

Geographic
Topical
To view the access options for this content please click here
Article

Pervaiz Akhtar, Sushil Kaur and Khanyapuss Punjaisri

Although suitable leadership is crucial for chain coordinators (chief executive officers (CEOs), managing directors and heads of departments) to achieve the effectiveness…

Abstract

Purpose

Although suitable leadership is crucial for chain coordinators (chief executive officers (CEOs), managing directors and heads of departments) to achieve the effectiveness of supply chain coordination (operational and social performances contributing to financial performance), the potential caveats in New Zealand-Euro agri-food supply chains are the lack of theoretical as well as empirical investigations that scrutinize the linkages between leadership styles, their interactions and the effectiveness of supply chain coordination. The purpose of this study is therefore to address the above knowledge gap.

Design/methodology/approach

Structural equation modelling and interaction effects are applied to the data collected from chain coordinators working in the selected New Zealand-Euro agri-food supply chains (dairy, meat, fruits and vegetables).

Findings

The results indicate that participative leadership is more strongly correlated with the effectiveness of supply chain coordination than directive leadership. The directive leadership is also significant, which leads towards the adoption of strategic leadership. Interaction effects further conclude that companies perform better when their chain coordinators apply strategic leadership practices. Moreover, operational (service quality and product quality) and social (trust in and satisfaction with supply chain partners) performances are the key determinants of financial performance (increased sales, profit and market share).

Practical implications

The results enhance the understanding of chain coordinators and help them to achieve coordination effectiveness among agri-food supply chain partners. Therefore, the study provides practical implications linked with contemporary international agri-food supply chains.

Originality/value

This study provides in-depth analysis to develop a comprehensive theoretical framework, which helps to confirm the complicated linkages between the underlying constructs, with the specific characteristics of New Zealand-Euro agri-food supply chains. Consequently, the results also clarify the earlier ambiguous findings from other industries and countries.

To view the access options for this content please click here
Article

Abdoul Karim Diamoutene and John Baptist D. Jatoe

The aim of this paper is to analyze the effects of access to credit on maize productivity in Mali, by identifying the determinants of credit market participation and maize…

Abstract

Purpose

The aim of this paper is to analyze the effects of access to credit on maize productivity in Mali, by identifying the determinants of credit market participation and maize yield, and then estimating the impact of credit on maize yield.

Design/methodology/approach

This study analyzes the impact of credit on maize productivity using data from the World Bank 2014 Living Standards Measurement Survey (LSMS) on Mali, and the endogenous switching regression (ESR) model.

Findings

The results suggest a positive effect of credit on maize yield in Mali. Farm size, production shocks and the female gender exert negative effects on credit market participation, unlike education, intercropping with cotton, male family labor and fertilizer use which show positive effects. Farm size has a negative effect on maize yield, but both male family labor, and fertilizer use exert positive effects. Although the use of credit improves agricultural yields, the results show a greater potential effect for rationed producers, than credit users.

Research limitations/implications

These results suggest that implementing a credit strategy that allows those currently excluded from the credit market, to participate, could substantially increase productivity and maize production output in furtherance of the country's food security strategy. Gender-based targeting is needed to bridge the gender gap in access to credit.

Originality/value

As far as the authors are aware, this study is the first to explore the credit-farm productivity links in Mali, while addressing selection bias.

Details

Agricultural Finance Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0002-1466

Keywords

1 – 10 of 412