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INDONESIA
International Journal of Supply Chain Management
Published by ExcelingTech
ISSN : 20513771     EISSN : 20507399     DOI : -
Core Subject : Science, Social, Engineering,
Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation
International Journal of Supply Chain Management (IJSCM) is a peer-reviewed indexed journal, ISSN: 2050-7399 (Online), 2051-3771 (Print), that publishes original, high quality, supply chain management empirical research that will have a significant impact on SCM theory and practice. Manuscripts accepted for publication in IJSCM must have clear implications for Supply chain managers based on one or more of a variety of rigorous research methodologies. IJSCM also publishes insightful meta-analyses of the SCM literature, conceptual/theoretical studies with clear implications for practice, comments on past articles, studies concerning the SCM field itself, and other such matters relevant to SCM.
Arjuna Subject : -
Articles 2,561 Documents
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Labor Migration of The Population and Evaluation of Supply Chain on the Labor Market Abdurakhmanov, Kalandar Khodzhaevich; Madorbekovich Mukhitdinov, Erkin; Ivanovich Grishin, Viktor; Kalandarovna Abdurakhmanova, Gulnora; Faizullaevich Kuchkarov, Gaybullo
International Journal of Supply Chain Management Vol 8, No 2 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v8i2.3043

Abstract

The article considers internal and external labor migration and supply chain effects in the process of forming the internal labor market in the Republic of Uzbekistan. The quantitative and qualitative composition of labor resources is identified in conjunction with other factors determining the pace of the country’s economic development, the level of the population welfare and the overall economic potential of the socio-economic system as a whole are determined. Within this context, scientific research in the field of organized labor migration and its impact on employment, formation of basic concepts characterizing migration processes, and the development of a new migration policy seem relevant. Economic transformations associated with the development of new forms of ownership, labor relations, the emergence of new socially vulnerable segments of the population in the republic suggest the improvement of the state employment policy. To that end, it is advisable to develop and use more advanced forms and methods for regulating labor migration of the population, including within the republic. The considered positive and negative consequences of the labor import impact on the economy of the receiving state mainly indicate the systematic nature of labor migration and its complexity for scientific analysis. Certain short term positive effects can give an impetus to negative trends in the long-term, which dictates the need for government management by migration processes, aiming to maximize the positive effects and minimize costs.
Supply Chain Strategy of Charge for Technological Connection to Electricity Networks in Electric Industry Ya. Afanassyev, Valentin; G.Lyubimova, Natalia; F.Ukolov, Vladimir; S.Flaksman, Alina
International Journal of Supply Chain Management Vol 8, No 2 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v8i2.3046

Abstract

Improving the quality of service and the availability of electrical networks for consumers stimulates an increase in the pace of economic development and implies reduction in the cost of technological connection of power-consuming devices to electrical networks by supply chain management. In Russia, approaches to the cost accounting for technological connection to electrical networks and calculation of charge for technological connection, which made a significant amount for consumers until recently, are constantly changing. Despite the varied practice of organizing and paying for technological connection to the electrical network abroad, there is no unified approach to cost accounting and arrangement of work on technological connection to electrical network in the world. In Russia, at present, a methodology has been adopted for unification of standardized tariff rates for work on technological connection for all territorial grid organizations of constituent entities of the Russian Federation. A significant amount of the costs of technological connection to the electrical networks of energy consuming installations of the population, medium and small businesses has been transferred to a single-rate or to the rate for maintaining a two-rate (three-rate) tariff for electricity transmission services. As a result, the charge for technological connection of certain categories of consumers has significantly decreased and Russia's world rating has increased in terms of the indicator “Connection to electrical supply networks”, but the tariffs for electricity transmission services for existing “old” consumers have increased. In the context of artificial restraining of tariffs for electricity transmission by the Russian state, the losses of grid organizations have increased and the question remains about the ownership of property built at the expense of consumers for technological connection to consumers' power grids. The authors analyze the indicators of PJSC ROSSETI for technological connection to electrical networks, and justify a tendency on reduction in the costs of power supply network organizations for technological connection to electric grids with an increase in the number of contracts concluded with consumers. They also propose to cancel the charge for technological connection of power-consuming devices of certain categories of consumers, and also to introduce compensation for costs of the remaining categories of consumers.
A Hybrid Multi-Filter Wrapper Feature Selection Method for Software Defect Predictors Balogun, Abdullateef Oluwagbemiga; Shuib, Basri; Abdulkadir, Said Jadid; Hashim, Ahmad Sobri
International Journal of Supply Chain Management Vol 8, No 2 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v8i2.3002

Abstract

Software Defect Prediction (SDP) is an approach used for identifying defect-prone software modules or components. It helps software engineer to optimally, allocate limited resources to defective software modules or components in the testing or maintenance phases of software development life cycle (SDLC). Nonetheless, the predictive performance of SDP models reckons largely on the quality of dataset utilized for training the predictive models. The high dimensionality of software metric features has been noted as a data quality problem which negatively affects the predictive performance of SDP models. Feature Selection (FS) is a well-known method for solving high dimensionality problem and can be divided into filter-based and wrapper-based methods. Filter-based FS has low computational cost, but the predictive performance of its classification algorithm on the filtered data cannot be guaranteed. On the contrary, wrapper-based FS have good predictive performance but with high computational cost and lack of generalizability. Therefore, this study proposes a hybrid multi-filter wrapper method for feature selection of relevant and irredundant features in software defect prediction. The proposed hybrid feature selection will be developed to take advantage of filter-filter and filter-wrapper relationships to give optimal feature subsets, reduce its evaluation cycle and subsequently improve SDP models overall predictive performance in terms of Accuracy, Precision and Recall values.
Application and Implementation of E-Procurement Technologies in Malaysian Manufacturing Firm Chan, Shiau Wei; Tiwari, Suman Tiwari Suresh; Ahmad, M.F.; Zaman, Izzuddin
International Journal of Supply Chain Management Vol 8, No 2 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v8i2.3009

Abstract

In the present scenario of global business competition, web-based technology is of great importance. It has become an extremely important criterion where businesses are now adopting e-commerce such as electronic procurement for the operation management of their organization. Despite this, they are still experiencing slow adoption of e-procurement. The main objective of this study was to determine the extent of e-procurement implementation in Malaysia organization as well as identify the relationship between the e-procurement system and supply chain performance among organizations in Malaysia. The study anchored on relevant theories on e-procurement which was Technology Acceptance Model. This study used descriptive research design. The population of this study was the employees from the manufacturing firms in Malaysia. A questionnaire was used to collect data. Data collected was analyzed quantitatively through the Statistical Package for the Social Sciences (SPSS). The procurement processes include E-ordering, E-sourcing, E-tendering, E-reverse auctioning and E-informing. The findings indicated that the firms had implemented E-procurement to a moderate extent. The respondents indicated that E-tendering was highly implemented in the organization in order to improve the supply chain performance to a large percentage (M=3.92, SD=0.701). The results also identified that the e-procurement system was positively associated with the supply chain performance of the organization. This study provides insights into manufacturing firms regarding the importance of E-procurement technologies.
The Relationship between Technological Capability and Manufacturing Performance Ahmad, Nurazwa; Mad Lazim, Halim; Shamsuddin, Alina; Wahab, Eta; Abu Seman, Noor Aslinda
International Journal of Supply Chain Management Vol 8, No 2 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v8i2.3010

Abstract

Technological capability plays an important role in achieving competitive advantages. It also increases performance of firms, industries, and as well as for the countries. Its’ potential as competitive weapon has been recognized to the industry. Manufacturers are striving to outperform the competitors. They are not only competing on the profit made but also struggling to perform a high level operational performance. Traditionally, manufacturers’ performance were measured based on the accounting management measures. However, the focus had shifted from solely emphasizing on financial measures to more specific multidimensional operational priorities. Hence, the purpose of this study is to investigate the relationship between two dimensions of technological capability (i.e. acquiring and upgrading) and four dimensions of manufacturing performance (i.e. quality, cost, delivery and flexibility). Stratified random sampling was employed and 302 questionnaires were distributed to the respondents ranging from small to large manufacturing firms in Malaysia. Pearson correlation analysis was employed to test the hypothesis. The study result shows that the relationship between technological capability and manufacturing performance is significant and positive. This study proved there is a connection between the variables. Further investigation is required to understand the impact of technological capability on manufacturing performance and to understand deeper the influences of differences by size of firms and industry characteristics.
Factors and Barriers Influencing Lean Production System Adoption in Manufacturing Industries Chan, Shiau Wei; Ismail, Fadillah; Ahmad, M.F.; Zaman, Izzuddin; Lim, Hui Qing
International Journal of Supply Chain Management Vol 8, No 2 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v8i2.3012

Abstract

In Lean Production System (LPS), the central idea is the implementation of lean practices will reduce different types of unnecessary wastes. However, LPS implemented without an evaluation of respective organisations may lead to failure. In this study, the purpose is to identify the major factor influencing the adoption of Lean Production System and determine the major barrier that interrupts Lean Production System adoption in the manufacturing industry. The target location in this research is the manufacturing industry in Batu Pahat, Malaysia. This was a quantitative type of study and questionnaires were used to collect the data. In this study, the respondents were from the administrative level of employees. The SPSS software was used to analyse the data. The results of this research showed that the major factor influencing LPS adoption in manufacturing industry was process and the major barrier which interrupted LPS adoption was workers’ attitude or resistance. This research provided some contributions to help the manufacturing industry, especially in production department.
A Case Study to Explore IoT Readiness in Outbound Logistics Hasan, Mohd Hilmi; Khairuddin, Aimi Amirah; Akhir, Emelia Akashah Patah
International Journal of Supply Chain Management Vol 8, No 2 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v8i2.3013

Abstract

Most of the logistics companies are facing problems with tracking and tracing in their logistics networks that led to poor last-mile service quality. This problem can be solved by improving technology such as the Internet of Things (IoT). Midway through the second decade of the millennium, the rapid development of IoT has influenced the company’s outbound logistics operations such as last-mile delivery. Implementation of IoT will help courier companies to optimize their delivery process. Despite its popular perceived benefit in assisting last-mile delivery, IoT remains a new technology and its adoption rate is still low in Malaysia. Thus, the main purpose of this research is to explore the status of IoT readiness among logistics companies in Malaysia. Apart from that, this research also intends to propose the best practice for courier companies to implement IoT. The finding of this research will indicate the factors affecting the readiness of the organizations to adopt IoT and the best practice for the implementation of IoT for the last-mile of a parcel delivery service in Malaysia will be proposed. This research is carried out by making use of qualitative methods with a number of courier companies in Malaysia as case studies. The case study provided is related to a courier company in Malaysia. In the preliminary study phase, results show that IoT helps to improve productivity and enhance the efficiency of the company.
The Key Factors of Evaluating Agile Approaches: A Systematic Literature Review Alaidaros, Hamzah; Omar, Mazni; Romli, Rohaida
International Journal of Supply Chain Management Vol 8, No 2 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v8i2.3014

Abstract

Currently, Agile Methods (AMs) are extensively being used in projects of various sizes and in different environments, thus surpassing their primary intended scope. For instance, they have been executed in distributed and non-distributed projects. In addition, AMs have been implemented in different project fields, such as engineering, medicine, banking, and manufacturing. Consequently, different Agile approaches have been proposed and integrated with other approaches in order to support the increased demand for diverse project environments. In this direction, various authors have examined the process of developing those approaches; however, the focus on explaining evaluation phases is scarce and scattered. Therefore, this study aims to review pertinent literature to identify the key factors and methodologies used to evaluate the proposed approaches in the Agile domain. The systematic literature review (SLR) methodology was adopted to identify, evaluate, and interpret all existing studies relevant to the research objective. SLR provides in-depth and more thorough results than an ordinary literature review. Forty-eight studies were selected and analyzed. The results show that applicability, effectiveness, and efficiency are the three most frequently examined evaluation factors, whereas case studies and surveys are the most frequently used research methods in evaluation studies. Factors identified in this review provide the evidence and the opportunity to design instruments or assessment forms that meet the needs of those researchers who are planning to evaluate their proposed Agile approaches.
Data Governance Practice for Outbound Supply Chain Management (SCM): A Case Study of Malaysian Textile Industry Mukhrizal, Fizreen Farra; Aziz, Noshakirah AB; Akhir, Emelia Akashah Patah
International Journal of Supply Chain Management Vol 8, No 2 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v8i2.3019

Abstract

The purpose of this paper is to implement a supply chain management (SCM) data governance of outbound logistics for Malaysian textile company. According to this paper, an apparel or textile company was once the top three export earners for manufactured goods of Malaysia. Hence, this research is looking forward to enhancing better performance and business value of Malaysian textile industry which is corresponding with the new application of technology known as “Industry 4.0”. Without having any standards or guidelines, a company might abortive due to the absence of express semantics and substance of data and information towards integrating and exchanging information among various associates including in the supply chain of the organization. Indeed, changes in policy might also give the impression of instability which impacts the stock prices of a textile company. Hence, this paper focuses on the SCM data governance, whereby the main goal is to identify data governance that exists and must be implemented in compliance with the Malaysian outbound logistic. Throughout this paper, the term data governance is used to refer to the practice of managing all the information to identify and improve the business value of an organization.
The Influence of Transformational Leadership on Organization Innovation in Malaysian Manufacturing Industry Chan, Shiau Wei; Ang, Sye Fang; Andleeb, Naima; Ahmad, M.F.; Zaman, Izzuddin
International Journal of Supply Chain Management Vol 8, No 2 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v8i2.3021

Abstract

In today industry, transformational leadership has become the top influential factor that affects the organization innovation. The aim of this study is to determine the level of transformational leadership (idealized influence, inspirational motivation, intellectual, and individual consideration) for employees in the Malaysian manufacturing industry. This study also identifies the influence of transformational leadership on organization innovation in the Malaysian manufacturing industry. This research involved the leaders of admin level in manufacturing industry Batu Pahat, Johor, Malaysia. The survey questionnaire was distributed to 165 respondents. The result indicated that Intellectual Stimulation was the highest level for employees in the manufacturing industry. However, Individual Consideration was the most significant correlation to organization innovation in the manufacturing industry. This quantitative research is important to provide better information relating to the relationship between transformational leadership and the organization innovation so that the admin level leader can obtain a clear understanding of how to guide their followers effectively in an organization.

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