All Research

Rahmah Ismail · Syahida Zainal Abidin · Mohd Nasir Mohd Saukani ·Jurnal Ekonomi Malaysia ·2019

Worker’s quality is very crucial to enhance effciency level in an organisation. Workers of high quality are always associated with high effciency and productivity, which subsequently increase competitiveness of an organization. In the Malaysian context, technical effciency in the manufacturing sector is vital to be observed due to its signifcantly high contribution to Gross Domestic Product (GDP). In addition, this sector has rapidly created employment opportunities and listed under National Key Economic Area (NKEA). Worker’s quality can be measured using several methods, which are generally based on human capital achievement. The measurements that are frequently used in the literature are level of educational attainment and worker’s job category. However, these measurements ignore the role of wages, which refect workers productivity when examine its effect on technical effciency. This paper aims to analyse level of worker’s quality or referred as effective worker using composite measurement and examine its impact on technical effciency for the Malaysian manufacturing frms. Analysis is based on 1077 manufacturing frms in 2009 obtained from the Department of Statistics Malaysia, through the Survey of Manufacturing Industries 2010. The fndings show that level of effective workers and technical effciency for the manufacturing frms are still at the moderate level and even low for the micro-sized frms. The main determinants of technical ineffciency are effective workers, ICT expenditure, training expenditure and R&D expenditure. The results suggest that the manufacturing frms should enhance their human capital investment and increase their expenditure especially on training and R&D in order to increase its effciency.

Md Fauzi Ahmad (Universiti Tun Hussein Onn Malaysia (UTHM)) · Siti Norziah Ismail (Universiti Tun Hussein Onn Malaysia (UTHM)) · Mohd Fahrul Hassan (Universiti Tun Hussein Onn Malaysia (UTHM)) · Chan Shiau Wei (Universiti Tun Hussein Onn Malaysia (UTHM)) · Norhadilah Abdul (Universiti Tun Hussein Onn Malaysia (UTHM)) · Ahmad Nur Aizat Ahmad (Universiti Tun Hussein Onn Malaysia (UTHM)) · Mohd Nasrun Mohd Nawi · Nor Aida Abdul Rahman ·International Journal of Supply Chain Management ·2019

Green Factory is a management tool for eliminate environment burden such as waste, chemical and pollution. Economic development grew too fast has effected major impact to environment. Carbon dioxide, loss of biodiversity, degradation of natural resources, global warming, ozone layer depletion and deforestation have effected on the environment. Based on world statistics, Malaysia has produced 29 million tonnes carbon dioxide and ranked 26th (0.66%) of the 215 countries in the world. 110 world leaders including Malaysia has agreed to work for reducing carbon dioxide gas in the Copenhagen Climate Change Summit 2009. Five main criteria for Green Factory have been identified; (1) Solar power generation systems, (2) Fuel cells system, (3) Cogeneration systems, (4) Air conditioning units and (5) Recycling system. A study was conducted to manufacturing companies that adopted Green Factory practices to assess its their green practices for minimizing environmental problems. The samples were 300 companies in Malaysia. Finally, 20% response rate has been received, with 60 respondents. Based on descriptive result, recycling shows the highest level of practices, followed by solar power cogenerations system, air conditioning units and fuel cells system. This study result shows Green Factory has significant relationship with environment performance (r=0.684, P<0.05) and business performance (r=0.510, P<0.05). Overall, the survey result shows green factory practices has significant impact on Malaysia manufacturing companies. In conclusion, Green Factory can be used as effective tool for improving not only for environment performance but also for business performance.

Muhamad Azhar Nor Sabli · Mohd Fahmy-Abdullah · Lai Wei Sieng ·International Journal of Supply Chain Management ·2019

This aim of this study is to measure the technical efficiency score and identify the factors that affect the technical efficiency in plastic manufacturing firm in Malaysia for the year 2015 using the two stage Data Envelopment Analysis (DEA) method. The first stage involves calculating the efficiency score through the DEA using firm-level data, provided by the Department of Statistics, Malaysia. In the second stage, Tobit Regression Analysis was used to identify the significant factors affecting the efficiency of the plastic industry. The determining factors are the labor-ratio, training expenses, educational level ratios, wage rates, information and communications technology expenses and firm size. The results show that average efficiency score is moderate rate. Information and communication technology (ICT) expenditure, wage rate, research and development expenditure and education level are significant factors of the efficiency factor of a plastic product manufacturing firm. The implication of this decision suggests that firms need to emphasize significant factors to enhance firms' efficiency.

Muhammad Syafiq Abdul Latif · Mohd Fahmy-Abdullah · Lai Wei Sieng ·International Journal of Supply Chain Management ·2019

— Machinery manufacturing industry has been introduced since the beginning of the industrial era from European countries and developed until today. However, major challenges in machinery industry still driven by traditional production factors such as capital and labour that caused the industry still left out. Thus, the objective of the study are to analyse the level of TE and identifying determinant factors influenced to technical efficiency in the machinery manufacturing industry in Malaysia. The study was conducted by using the method of Data Envelopment Analysis (DEA) two stages. The first stage involves the calculation a score of efficiency through the DEA by using firm’s data while the second stage Regression Tobit Analysis used to identify significant factors influencing to technical efficiency in machinery industrial. This firm’s data are categorized into 3 subindustry 3-digit according to the Malaysian Standard Industrial Classifications which are consists of Manufacture of General-Purpose Machinery, Manufacture of Special Purpose Machinery and Manufacture of Installation Machinery Industrial and Equipment. A total of 636 machinery industry firms were involved in this study. Results showed the average efficiency score is at the medium level while the determinant factors were significant are wage rates, the standard of education and research and development (R&D). The implications of this study show that the machinery industry should focus their attention to the significant factors to improve the level of technical efficiency of the machinery industry.

Zaimy Johanna Johan · Irwan Ibrahim · Norina Ahmad Jamil · Siti Masithah Mohd Tarli · Afizan Amer ·International Journal of Supply Chain Management ·2019

Nowadays, in daily operations have to alert about the lean production that would be effect of the whole of production management. Lean production is one of the main successful management in operations to keep maintain the organization reputation and its ready to compete the globally in manufacturing firm. The objective of lean production is to make the operation process become smoothly of processing items, reduced waste and successful in every target. However, many organizations fail to apply the lean concepts in their operations. Therefore, this study attempted to examine the relationship between lean production (LP) and three dimensions which are transportation, quality and communication. This study employed quantitative study using questionnaire. Data was collected from 45 employees that chosen by expertise in production and the data was analyzed using Statistical Package of Social Science (SPSS). This study hoped to make new understanding on the important to apply lean concept in production management.

Kyunga Na · Young-Hee Kang ·Journal of Open Innovation: Technology Market and Complexity ·2019

This study aims to investigate the effects of product and process innovations on manufacturing firm performance in Southeast Asian emerging markets. To this end, using a cross-national sample of 2324 manufacturing firms from the World Bank Enterprise Survey (WBES) dataset of 2015, we test the effects of product and process innovations on the sales growth of manufacturing firms in Vietnam, Malaysia, and Indonesia. This study finds that product innovation is positively related to sales growth while new operating technologies are negatively associated with sales growth. For high-tech firms, product innovation is positively related to sales growth. The findings imply that in Southeast Asian emerging markets, governments and manufacturing firms can enhance performance by investing in product innovation.

Miao Zhanga · Md Aslam Mia ·Journal of the Asia Pacific Economy ·2020 ·JEL: D22 F23 L60 O14

With cognizance to firms’ heterogeneity in an industry, this paper employs the most recent, unpublished and large-scale firm-level data of 14,687 manufacturing firms in Malaysia in 2015 to revisit the drivers of manufacturing exports. Applying the OLS and logistic regressions, we observed a strong positive relationship between a firm’s labor productivity and export intensity. Firms’ foreign ownership, size and age are positively connected to their export competitiveness. The incorporation of location variables into the regression reveals that firms in the Southern peninsula of Malaysia (e.g., Johor) have a positive effect and demonstrate the highest probability to engage in export activities. Our study is informative to trade policymakers on the key drivers of manufacturing exports, providing references to not only Malaysia, but other economies in Eastern Asia and developing nations.

Xuefeng Qian · Kalsoom Rafi Que · Yingna Wu ·China and World Economy ·2020 ·JEL: F14, F16, J23, O10

As a large trading nation, China competes with importing countries’ domestic and thirdcountry markets but also creates growth opportunities for exporters. Most studies on China trade shocks or “China shocks” focuse on the impacts of import competition on developed economies. The present paper complements research on China shocks by exploring the other side of the trade exposure to China – China as the largest importer, rather than as an exporter. We analyze the effects of export expansion into China on the local labor markets of the exporting developing countries for the years 1992 to 2018. Using detailed export and employment data, we estimate employment pattern variations in manufacturing industries with exports from other developing countries as instruments for export exposure. We fi nd that the increase in trade exposure to China in the world economy has caused extensive job gains in manufacturing industries in developing countries that were exporters. On average, our estimations show that this trade exposure created approximately 1.5 million additional jobs from 1992 to 2018, which made an important contribution to manufacturing industries in developing countries. Our empirical analysis also shows that trade had stabilizing effects on employment in the countries in our sample generally