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Fulltext Social networking of owner managers in small accommodation in Malaysia: implications for HRD

Victoria Jonathan

Journal of Cognitive Sciences & Human Development, 2018;3(2):1-13.
MyJurnal

Small accommodation providers are challenged to grow their business due to their limited resources. Although social networking is suggested to assist organization growth, few studies have focused on how owner-managers in the Malaysian hospi-tality industry network and the value they attach to it. This paper presents findings of 10 in-depth interviews of social networking motivation and barrier of owner-managers of small accommodation in Kuching, Malaysia. The findings show that the owner-managers were motivated by the perceived organizational and personal bene-fits of networking with others. However, issues such as social competence and busi-ness concerns were identified as barriers that may limit their participation in network-ing. To overcome these issues, it is suggested that educators, policymakers, and trade associations work together with the owner-managers to address their specific devel-opment and resource needs.

Matched MeSH terms: Commerce
Fulltext Multi-objective AGV scheduling in an FMS using a hybrid of genetic algorithm and particle swarm optimization

Mousavi M, Yap HJ, Musa SN, Tahriri F, Md Dawal SZ

PLoS One, 2017;12(3):e0169817.
PMID: 28263994 DOI: 10.1371/journal.pone.0169817

Flexible manufacturing system (FMS) enhances the firm's flexibility and responsiveness to the ever-changing customer demand by providing a fast product diversification capability. Performance of an FMS is highly dependent upon the accuracy of scheduling policy for the components of the system, such as automated guided vehicles (AGVs). An AGV as a mobile robot provides remarkable industrial capabilities for material and goods transportation within a manufacturing facility or a warehouse. Allocating AGVs to tasks, while considering the cost and time of operations, defines the AGV scheduling process. Multi-objective scheduling of AGVs, unlike single objective practices, is a complex and combinatorial process. In the main draw of the research, a mathematical model was developed and integrated with evolutionary algorithms (genetic algorithm (GA), particle swarm optimization (PSO), and hybrid GA-PSO) to optimize the task scheduling of AGVs with the objectives of minimizing makespan and number of AGVs while considering the AGVs' battery charge. Assessment of the numerical examples' scheduling before and after the optimization proved the applicability of all the three algorithms in decreasing the makespan and AGV numbers. The hybrid GA-PSO produced the optimum result and outperformed the other two algorithms, in which the mean of AGVs operation efficiency was found to be 69.4, 74, and 79.8 percent in PSO, GA, and hybrid GA-PSO, respectively. Evaluation and validation of the model was performed by simulation via Flexsim software.

Matched MeSH terms: Commerce
Structural Change of Palm Oil Price Data

Lalang Buana, Ahmad Mahir Razali, Zainodin Haji Jubok

Sains Malaysiana, 1997;26.

The changes on the vegetables oil trading environment might change the foundation of palm oil pricing and induce a structural change to the price model. Failing to take it account the structural change in a data series might lead to misspecification of the actual model. This study, however, showed that structural change was not present in the monthly, January 1983 to July 1995, palm oil price, but it was present on the unconditional variance. The underlying model of this series was ARIMA (3, 1, 0) with ARCH (1). The critical change of the unconditional variance took place in April 1989.
Perubahan dalam suasana perdagangan minyak sayuran boleh mengubah asas harga minyak kelapa sawit. Seterusnya ia merangsang perubahan dalam struktur model harga minyak tersebut. Kegagalan untuk mengambil kira perubahan struktur dalam siri data menjadikan model itu tidak menepati spesifikasi daripada model sebenar. Kajian ini mendapati bahawa perubahan struktur tidak berlaku bagi data harga minyak sawit dari Januari 1983 hingga Julai 1995. Tetapi perubahan berlaku pada varians tidak bersyaratnya. Model asas bagi siri ini adalah ARIMA (3,1,0) dengan ARCH(1). Didapati juga bahawa perubahan yang kritikal bagi varians tidak bersyarat berlaku pada bulan April 1989.

Matched MeSH terms: Commerce
Status Kegiatan Pembangunan Perisian di Malaysia (Status of Software Development in Malaysia)

Aziz Bin Deraman, Ahmad Shukri Bin Yahaya

Sains Malaysiana, 1997;26.

A study was conducted to examine the usage of application software and its development practices in Malaysia. The study has shown that the use of application software is greatly emphasized by organizations in their respective businesses. And for most organizations, the application software is supplied by a vendor or through in house development. For the software development practices, the deployment of a current technique and technology is still inadequate. Therefore, most of the existing information technology practitioners should be given additional training on the latest techniques of software development. Other aspect of improvement on software development practices is also discussed.
Satu kajian terhadap status pemakaian dan kegiatan pembangunan perisian gunaan di Malaysia telah dijalankan. Kajian ini menunjukkan yang aspek pemakaian sangat diberi penekanan oleh organisasi. Manakala proses perolehan perisian gunaan pula terbahagi secara setara di antara buat sendiri dengan menggunakan pihak ketiga. Namun begitu yang ketara ialah kadar penggunaan teknologi dan teknik terkini dalam kegiatan pembangunan perisian masih berkurangan. Oleh itu disarankan supaya aspek latihan teknik kakitangan teknologi maklumat organisasi perlu dipertingkatkan secara berterusan. Di samping itu kajian ini memaparkan beberapa aspek amalan pembangunan perisian yang boleh diperbaiki lagi.

Matched MeSH terms: Commerce
Long memory and asymmetric volatility behaviour of the Malaysian stock market: a statistical modelling approach

Abu Hassan Shaari Mohd Nor, Chin WC

Sains Malaysiana, 2006;35:67-73.

This paper analyzes the asymmetric long memory volatility dependency of the interday prices of Composite Index (CI) at Bursa Malaysia by using GARCH family models. The GARCH type models are used with the assumption that the innovations series follow either one of the following distributions: Gaussian, Student -t and skewed Student -t. The stock returns' long memory dependency is determined using the Hurst parameter. The long memory and asymmetric volatility are modelled by fractionally integrated GARCH models. It is found that the asymmetric and long memory GARCH models with skewed student-t distribution give better predictive ability on the volatility of the Kuala Lumpur Composite Index (KLCI).

Matched MeSH terms: Commerce
Integrated models for shipping a vendor’s final production batch to a single buyer under linearly decreasing demand for consignment policy

Omar M, Supadi S

Sains Malaysiana, 2012;41:367-370.

This paper considers the problem of a vendor or manufacturer supplying a final production batch to a single buyer under linearly decreasing demand for a finite time horizon. The vendor manufactures the product at a finite rate and ships the output to the buyer. In this model we considered the case where the holding cost at the vendor is greater than the buyer and propose a consignment model. The objective was to minimize the total cost of stock transfer from vendor to buyer and stock holding at the vendor and the buyer. We derived the structure of the optimal solution and illustrate the proposed models with numerical examples.

Matched MeSH terms: Commerce
Analisis Data Panel ke Atas Fungsi Pengeluaran Sektor Pembuatan Makanan di Malaysia

Abu Hassan Shaari Mohd Nor, Fauziah Maarof

Sains Malaysiana, 2004;33.

The main purpose of this article is to introduce the technique of panel data analysis in econometrics modeling. The elasticity of labour, capital and economic of scale for twenty two food manufacturing firms covering from 1989 to 1993 is estimated using the Cobb-Douglas model. The three main techniques of panel data analysis discussed are least square dummy variables (LSDV), analysis of covariance (ANCOVA) and generalized least square (GLS). Ordinary Least Square (OLS) method is included as the basis of comparison.

Matched MeSH terms: Commerce
Fulltext Empirical Performance Analysis of Hyperledger LTS for Small and Medium Enterprises

Khan D, Jung LT, Hashmani MA, Cheong MK

Sensors (Basel), 2022 Jan 25;22(3).
PMID: 35161661 DOI: 10.3390/s22030915

The massive success of blockchain technology in Bitcoin is taking the world by storm by attracting vast acceptance from both the public and private sectors. Blockchain allows digital transactions between two parties without a third party as a broker. Blockchain is now applicable beyond fintech to various other industries. Among these, Hyperledger fabric has emerged as the most popular blockchain-based open-source permissioned platform targeting business applications. It has been used in over 400 proofs-of-concept blockchain and is well proven in applications, such as supply chain, healthcare, and so on. Despite the many obvious benefits observed in blockchain-enhanced platforms, there still exist technical challenges in scalability, causing performance deficiency, which includes latency and throughput. There is an exigent need to improve the current blockchain-based applications to have the blockchain nodes be scalable without compromising the blockchain performance. In this study, we present the impact of workload variance of up to 1000 transactions with the setup of 20 blockchain nodes in the Hyperledger LTS platform. The evaluation metrics are transaction success and failure rate, throughput, and latency in the blockchain. The transaction throughput was found to be consistent with the increasing workload on a constant number of nodes. However, it showed a declining trend with an increasing number of nodes. As far as the latency, it was in tandem with the increased workload and the number of nodes. We, therefore, conclude that the LTS version is suitable for small and medium enterprises that do not scale up.

Matched MeSH terms: Commerce
Fulltext Cell-based influenza vaccine: current production, halal status assessment, and recommendations towards Islamic-compliant manufacturing

Zulkarnain NN, Anuar N, Abd Rahman N, Sheikh Abdullah SR, Alias MN, Yaacob M, et al.

Hum Vaccin Immunother, 2021 07 03;17(7):2158-2168.
PMID: 33539195 DOI: 10.1080/21645515.2020.1865044

Influenza virus is a life-threatening pathogen that infects millions of people every year, with annual mortality in the hundreds of thousands. The scenario for controlling infection has worsened with increasing numbers of vaccine hesitancy cases reported worldwide due to objections on safety, religious and other grounds. Uses of haram (impermissible) and mashbooh (doubtful) ingredients in vaccine production has raised doubts among Muslim consumers and consequently stimulated serious vaccine hesitancy. To address this major problem, we have reviewed and recommended some alternatives appropriate for manufacturing cell-based influenza vaccine which comply with Islamic laws and consumers' needs. Intensive assessments of current influenza vaccine production in both scientific and Islamic views have led to the identification of four main ingredients deemed impermissible in novel sharia-compliant (approved by Islamic laws) vaccine manufacturing. Only some of these impermissible components could be replaced with halal (permissible) alternatives, while others remain impermissible due to unavailability and unsuitability.

Matched MeSH terms: Commerce
Fulltext Impact of sustainable project management on project plan and project success of the manufacturing firm: Structural model assessment

Chow TC, Zailani S, Rahman MK, Qiannan Z, Bhuiyan MA, Patwary AK

PLoS One, 2021;16(11):e0259819.
PMID: 34818357 DOI: 10.1371/journal.pone.0259819

This study has aimed to investigate the impact of sustainable project management on sustainable project planning and success in manufacturing firms. Data was collected from project management professionals in a manufacturing firm in Malaysia. A total of 231 responses were analyzed using the partial least square (PLS) method. The findings revealed that sustainable project management has a significant impact on sustainable project success and sustainable project planning. Sustainable project planning is positively correlated with sustainable project success. The results also indicated that sustainable project planning mediates the effect of sustainable project management on sustainable project success. The findings have significant insight into the body of knowledge of the project life cycle and indicated that sustainable project planning is a crucial tool attributed to project management towards the project success of the manufacturing firm. The results can be used as a guideline for organizations, providing direction in project management to achieve sustainable development for business.

Matched MeSH terms: Commerce
Fulltext In-Depth Review of Augmented Reality: Tracking Technologies, Development Tools, AR Displays, Collaborative AR, and Security Concerns

Syed TA, Siddiqui MS, Abdullah HB, Jan S, Namoun A, Alzahrani A, et al.

Sensors (Basel), 2022 Dec 23;23(1).
PMID: 36616745 DOI: 10.3390/s23010146

Augmented reality (AR) has gained enormous popularity and acceptance in the past few years. AR is indeed a combination of different immersive experiences and solutions that serve as integrated components to assemble and accelerate the augmented reality phenomena as a workable and marvelous adaptive solution for many realms. These solutions of AR include tracking as a means for keeping track of the point of reference to make virtual objects visible in a real scene. Similarly, display technologies combine the virtual and real world with the user's eye. Authoring tools provide platforms to develop AR applications by providing access to low-level libraries. The libraries can thereafter interact with the hardware of tracking sensors, cameras, and other technologies. In addition to this, advances in distributed computing and collaborative augmented reality also need stable solutions. The various participants can collaborate in an AR setting. The authors of this research have explored many solutions in this regard and present a comprehensive review to aid in doing research and improving different business transformations. However, during the course of this study, we identified that there is a lack of security solutions in various areas of collaborative AR (CAR), specifically in the area of distributed trust management in CAR. This research study also proposed a trusted CAR architecture with a use-case of tourism that can be used as a model for researchers with an interest in making secure AR-based remote communication sessions.

Matched MeSH terms: Commerce
Fulltext Asia Partnership Conference of Pharmaceutical Associations (APAC) Report on Regulatory Agility Implemented During the COVID-19 Pandemic: Inspiring Partnerships and Recommendations for the Way Forward

Chong SSF, Kanno M, Chee ASM, Long SM, Ong SHM, Harnpramukkul U, et al.

Ther Innov Regul Sci, 2023 Jan;57(1):12-25.
PMID: 36175790 DOI: 10.1007/s43441-022-00435-8

PURPOSE: Asia Partnership Conference of Pharmaceutical Associations (APAC) promote regulatory agility of four important best practices i.e. reliance, digital platform, accepting electronic document and process integration. Dialogues and strong partnership witnessed reforms and efficiencies amidst the pandemic. In tracking the progress of regulatory agility, APAC identifies areas for improvement and recommends prioritizing these areas for change.
METHODS: As one voice, 13 main industry associations under the umbrella of APAC sent joint letters to our National Regulatory Authorities (NRAs) with a call to maintain regulatory agility and consider new ways of working. Consequently, APAC surveyed its member associations to measure regulatory agilities implemented by the NRAs during 2020 and 2021 in view of the pandemic.
RESULTS: This paper reports progress in implementing regulatory agility, e.g. the number of economies that can accept electronic Certificate of Pharmaceutical Products (eCPP) has reached 100% for the economies that require CPP and more than 90% can waive onsite inspection in the presence of Good Manufacturing Practice (GMP) certificate and/or inspection report. The paper also features the progress made in Malaysia, the Philippines, and the ASEAN (Association of South East Asian Nations) regional reliance initiative to reduce inefficiencies and duplications.
CONCLUSIONS: We have demonstrated the power of working together to enable regulatory agilities and efficiencies. APAC will continue to track the progress of all economies including India within the areas for improvement prioritized and discussed in this paper. APAC is also committed to working with key stakeholders including our NRAs in Asia to sustain and enable a new era of innovation ushered in by COVID-19 to benefit patients.

Matched MeSH terms: Commerce
Smart systems in producing algae-based protein to improve functional food ingredients industries

Neo YT, Chia WY, Lim SS, Ngan CL, Kurniawan TA, Chew KW

Food Res Int, 2023 Mar;165:112480.
PMID: 36869493 DOI: 10.1016/j.foodres.2023.112480

Production and extraction systems of algal protein and handling process of functional food ingredients need to control several parameters such as temperature, pH, intensity, and turbidity. Many researchers have investigated the Internet of Things (IoT) approach for enhancing the yield of microalgae biomass and machine learning for identifying and classifying microalgae. However, there have been few specific studies on using IoT and artificial intelligence (AI) for production and extraction of algal protein as well as functional food ingredients processing. In order to improve the production of algal protein and functional food ingredients, the implementation of smart system is a must to have real-time monitoring, remote control system, quick response to sudden events, prediction and characterisation. Techniques of IoT and AI are expected to help functional food industries to have a big breakthrough in the future. Manufacturing and implementation of beneficial smart systems are important to provide convenience and to increase the efficiency of work by using the interconnectivity of IoT devices to have good capturing, processing, archiving, analyzing, and automation. This review investigates the possibilities of implementation of IoT and AI in production and extraction of algal protein and processing of functional food ingredients.

Matched MeSH terms: Commerce
The dynamic relationship between structural change and CO2 emissions in Malaysia: a cointegrating approach

Ali W, Abdullah A, Azam M

Environ Sci Pollut Res Int, 2017 May;24(14):12723-12739.
PMID: 28378312 DOI: 10.1007/s11356-017-8888-6

The current study investigates the dynamic relationship between structural changes, real GDP per capita, energy consumption, trade openness, population density, and carbon dioxide (CO2) emissions within the EKC framework over a period 1971-2013. The study used the autoregressive distributed lagged (ARDL) approach to investigate the long-run relationship between the selected variables. The study also employed the dynamic ordinary least squared (DOLS) technique to obtain the robust long-run estimates. Moreover, the causal relationship between the variables is explored using the VECM Granger causality test. Empirical results reveal a negative relationship between structural change and CO2 emissions in the long run. The results indicate a positive relationship between energy consumption, trade openness, and CO2 emissions. The study applied the turning point formula of Itkonen (2012) rather than the conventional formula of the turning point. The empirical estimates of the study do not support the presence of the EKC relationship between income and CO2 emissions. The Granger causality test indicates the presence of long-run bidirectional causality between energy consumption, structural change, and CO2 emissions in the long run. Economic growth, openness to trade, and population density unidirectionally cause CO2 emissions. These results suggest that the government should focus more on information-based services rather than energy-intensive manufacturing activities. The feedback relationship between energy consumption and CO2 emissions suggests that there is an ominous need to refurbish the energy-related policy reforms to ensure the installations of some energy-efficient modern technologies.

Matched MeSH terms: Commerce
Fulltext Sustainable risk management practice in the organization: a Malaysian case study

Zainuddin SA, Abdullah B, Nasir NAM, Abdullah T, Nawi NC, Patwary AK, et al.

Environ Sci Pollut Res Int, 2023 Feb;30(9):24708-24717.
PMID: 36344894 DOI: 10.1007/s11356-022-23897-7

Businesses are becoming more conscious of operational risk management practices due to the COVID-19 pandemic. However, some firms practice risk management without fully comprehending how it might help them and their needs. As a result, companies that practice risk management without realizing it are being controlled by the discipline itself. The goal of this study is to look into the epistemic process of risk management practice in the workplace. This phenomenological study interviewed 39 risk management officers, executives, and employees. Data are thematically analyzed. This study discovered five epistemic processes of risk mapping using Foucault's governmentality paradigm. This phenomenological study, interestingly, revealed the black box of risk management practices, as well as the behavior of risk management officers, executives, and risk owners who preferred to monitor the compliance aspects of risk management practices rather than comprehend the capabilities of risk management that could be used within their strategic planning process. Unaware of this black box, organizational actors were blanketed by the organization's culture of fear, which created the impression that the authority was always watching every word said and every action taken. Practically, this study contributes an improved understanding of the real function of risk management that helps them justify the practice and reduce unnecessary fear. The paper concludes with limitations and research recommendations.

Matched MeSH terms: Commerce
Fulltext Artificial dragonfly algorithm in the Hopfield neural network for optimal Exact Boolean k satisfiability representation

Ali GA, Abubakar H, Alzaeemi SAS, Almawgani AHM, Sulaiman A, Tay KG

PLoS One, 2023;18(9):e0286874.
PMID: 37747876 DOI: 10.1371/journal.pone.0286874

This study proposes a novel hybrid computational approach that integrates the artificial dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal representation of the Exact Boolean kSatisfiability (EBkSAT) logical rule. The primary objective is to investigate the effectiveness and robustness of the ADA algorithm in expediting the training phase of the HNN to attain an optimized EBkSAT logic representation. To assess the performance of the proposed hybrid computational model, a specific Exact Boolean kSatisfiability problem is constructed, and simulated data sets are generated. The evaluation metrics employed include the global minimum ratio (GmR), root mean square error (RMSE), mean absolute percentage error (MAPE), and network computational time (CT) for EBkSAT representation. Comparative analyses are conducted between the results obtained from the proposed model and existing models in the literature. The findings demonstrate that the proposed hybrid model, ADA-HNN-EBkSAT, surpasses existing models in terms of accuracy and computational time. This suggests that the ADA algorithm exhibits effective compatibility with the HNN for achieving an optimal representation of the EBkSAT logical rule. These outcomes carry significant implications for addressing intricate optimization problems across diverse domains, including computer science, engineering, and business.

Matched MeSH terms: Commerce
Unraveling the driving factors of the plastic waste trade network formation and dynamics

Liu F, Fan C, Li J, Tan Q

J Environ Manage, 2023 Dec 15;348:119422.
PMID: 37879176 DOI: 10.1016/j.jenvman.2023.119422

International trade of plastic waste promotes the global plastic circular economy and improves resource efficiency, but exacerbates the ubiquitous plastic pollution. Understanding the drivers behind the evolution of the global plastic waste trade network (GPWTN) is pivotal for developing new international instruments to end plastic pollution and fostering clean solid-waste trade. Employing social network analysis (SNA) and quadratic assignment procedure (QAP) model, this study structures the GPWTN using bilateral trade data, revealing shifts from highly centralized to cross-layered networks and relevant drivers. It is suggested that Malaysia and Turkey has become the new key recipients of the GPWTN, replacing China, accompanied by the launch of new environmental regulations in some countries. Transportation cost is the most critical factor for the formation of the GPWTN, followed by gaps in resource demand, bio-based resource availability, and transportation accessibility. Trading partners in closer proximity, especially those with contiguous borders, are more likely to trade in waste plastics, while coastal countries play an important role in these partnerships. Economies with more abundant biomaterials, higher incomes, and greater environmental burdens are more likely to be exporters, while economies with scarcer resources and more compelling demands are more likely to import plastic waste. Countries involved in the trade in plastic waste, as either importers or exporters, receive varying degrees of economic benefits but bear potential environmental impacts. Therefore, global plastic pollution control and trade prosperity necessitates necessitate coordinated endeavors from nations and intergovernmental bodies for a mutually advantageous denouement.

Matched MeSH terms: Commerce
A circular waste bioeconomy development model in the Ecuadorian fishery industry: the impact of government strategy on supply chain integration and smart operations

Negash YT, Sarmiento LSC, Tseng SW, Lim MK, Tseng ML

Environ Sci Pollut Res Int, 2023 Sep;30(43):98156-98182.
PMID: 37608173 DOI: 10.1007/s11356-023-29333-8

This study develops a set of measures to address the interrelationship among circular waste-based bioeconomy (CWBE) attributes, including those of government strategy, digital collaboration, supply chain integration, smart operations, and a green supply chain, to build a circular bioeconomy that feeds fish waste back into the economy. CWBE development is a potential solution to the problem of waste reuse in the fish supply chain; however, this potential remains untapped, and prior studies have failed to provide the criteria to guide its practices. Such an analytical framework requires qualitative assessment, which is subject to uncertainty due to the linguistic preferences of decision makers. Hence, this study adopts the fuzzy Delphi method to obtain a valid set of attributes. A fuzzy decision-making trial and evaluation was applied to address the attribute relationships and determine the driving criteria of CWBE development. The results showed that government strategies play a causal role in CWBE development and drive digital collaboration, smart operations, and supply chain integration. The findings also indicated that smart manufacturing technology, organizational policies, market enhancement, supply chain analytics, and operational innovation are drivers of waste integration from fisheries into the circular economy through waste-based bioeconomy processes.

Matched MeSH terms: Commerce
Fulltext The impact of technical efficiency on firms' value: The case of the halal food and beverage industry in selected countries

Rusmita SA, Zulaikha S, Mazlan NS, Mohd Dali NRSB, Cahyono EF, Ramadhani I

PLoS One, 2023;18(11):e0286629.
PMID: 38011115 DOI: 10.1371/journal.pone.0286629

The market for the halal food and beverage industry sector has experienced rapid growth in recent years, which indicate excellent investment opportunities. This paper examine the effect of Technical Efficiency (TE) on firm value in 5 selected influential countries in halal food and beverage sector based on Global Islamic Economy Report 2020. Two steps estimation was used to run the data, using the Stochastic Frontier Analysis (SFA) model to determine the company's TE and panel data to test the effect of TE through firm value. The results show that Indonesia has the highest score for TE (62%), followed by Pakistan (59%), South Africa (57%), Malaysia (55%), and Singapore (52%), which means, in general, there is inefficiency in allocating resources over 38% up to 48% and needs to be improved by halal food and beverage companies in. Regarding panel data, all countries sample except Pakistan highlight that TE significantly affect company value. It indicates that the crucial part of managing efficiency can be a sign in stock market performance. The result shows that company managers should set efficiency strategies to their business process for creating sustainability and increase their value in the capital market. As for investors, this TE can be used as an indicator before choosing company stocks; if the company is efficient, then it is worthy of being one of the portfolio assets. Form the government side, the finding can help them to set appropriate policy setting to boost halal food and beverages industry such as giving subsidy or incentive to increase the efficiency ability of halal food and beverage companies and identify the industry's strength by comparing the result of TE between 5 countries.

Matched MeSH terms: Commerce
Fulltext Determinants of exports performance: Evidence from Indonesian low-, medium-, and high-technology manufacturing industries

Handoyo RD, Ibrahim KH, Rahmawati Y, Faadhillah F, Ogawa K, Kusumawardani D, et al.

PLoS One, 2024;19(1):e0296431.
PMID: 38165859 DOI: 10.1371/journal.pone.0296431

This study explores the determinants of the export performance of Indonesia's low-, medium-, and high-technology manufacturing industries by focusing on the role of raw-material imports and technical efficiency. Micro firm-level data from 2010-2015 were utilized for the analysis in this study. The stochastic frontier analysis was employed to measure technical inefficiency and to determine its effect on export performance. Our findings indicate that in all categories of industry technical efficiency, raw materials imports, foreign direct investment (FDI), location, firm size, labour productivity, and concentration of industries were significant determinants of export performance. While high efficiency increases exports in low- and medium-technology firms, exports decrease in firms with high efficiency accompanied by high imports, FDI, size, and labour productivity. Furthermore, in high-technology industries, efficiency reduces exports and again increases them when mediated by a concentration of industries and location. The empirical strategy also supports the positive effect of imports on export performance in both industries, which also aligns with decreased exports in firms with high imports accompanied by high FDI, efficiency, labour productivity, the concentration of industries, and size. To this end, the study has implications for low-, medium-, and high-technology manufacturing that are mainly concerned with increasing exports.

Matched MeSH terms: Commerce

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