International Journal of Industrial Management

IDENTIFICATION OF CONTRACTUAL ISSUES IN AGRICULTURE PROCESS: A DEMATEL- BASED MODEL

Mojikon Melvin Manuel, Chia Kuang Lee, Marián Bujna, Hai Lee Ooi — Mon, 17 Jun 2024 00:00:00 +0000

The agriculture sector contributes vastly to a nation’s economy, including Malaysia. Nevertheless, limited research has looked on the contractual issues in agriculture process. The purpose of this study was to explore the contractual issues in the agriculture process and determine the relationship between both variables. The respondents involved seven experts from the agriculture sector in Sabah, Malaysia and a survey questionnaire were used to gather the data. Subsequently, the DEMATEL method was used to create the causal and effect diagram between the contractual issues. The results showed that Delayed Delivery Issues (Issue A) is the most crucial contract issue in agriculture and must be addressed. Furthermore, the most crucial relationship existed between Crucial Contract Issues (Issue A) and Contract Duration (Issue E). These issues should be studied further to improve the agriculture sector.

AN IMPLEMENTATION OF BLOCKCHAIN TECHNOLOGY IN SUSTAINABLE APPAREL SUPPLY CHAIN

Kausalyah Kalithazan, Fazeeda Mohamad, Ahmed Zainul Abideen — Mon, 17 Jun 2024 00:00:00 +0000

The improper management of supply chain may lead to the occurance of numerous complications within a company, such as financial loss in inventory and distribution. It is imperative to inform businesses, including those in the apparel industry, on how to improve their supply chain using advanced technologies like blockchain technology. Therefore, the purpose of this study was to determine the challenges of sustainable apparel in supply chain and to improve apparel supply chain by implementing the blockchain technology. Qualitative research design was employed and the data was collected via a face-to-face interview. The respondent acknowledged the company’s inadequate supply chain management for sustainable apparel. Such findings add to the body of knowledge on blockchain technology and sustainable supply chains by demonstrating how blockchain technology can change and benefit the apparel industry as well as improve the interaction between suppliers and consumers.

IMPROVING A CIRCULAR REVERSE LOGISTICS TO HANDLE PRODUCT RETURN: INSIGHTS FROM A GLOBAL ELECTRONICS SERVICES PROVIDER

Nur Atiqah Batrisyia, Yudi Fernando — Mon, 17 Jun 2024 00:00:00 +0000

In the retail industry, consumers often return goods for various reasons, including damage, flaws, or plain dissatisfaction. The storing of returned goods can result in insufficient arrangement of the existing storage space and capacity. Such issue can cause problems like longer processing times, higher operating costs, and reduced customer satisfaction, hence necessitating prompt response. Therefore, this case study was conducted in a global electronics services provider to examine how circular reverse logistics can enhance the handling of product returns as well as developing a smart product return strategy. It is believed that creating a plan for product returns and integrating internal process improvements with external collaboration are highly important. The results showed that the organisation can establish a circular reverse logistic process to lower the cost and amount of product returns, enhance consumer service, and boost profitability. Such findings can benefit organisations wishing to establish circular reverse logistics procedures to handle product returns.

STRATEGIC DECISION SUPPORT: DEVELOPING A DASHBOARD FOR MANAGERIAL INSIGHTS IN HIGH-LEVEL TVET STUDENTS' ENROLMENT AT UNIVERSITI MALAYSIA PAHANG AL-SULTAN ABDULLAH

Helmi Mohamed Isa, Zetty Ain Kamaruzzaman, Galuh Tresna Murti — Mon, 17 Jun 2024 00:00:00 +0000

The purpose of this study was to create a dashboard with information visualisation to assist Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) in managerial decision-making and to critically and hierarchically present data regarding the enrolment of Malaysian Diploma Vocational (MDV) students into high-level Technical Vocational Education and Training (TVET) programs at UMPSA. The Cross Industry Standard Process for Data Mining (CRISP-DM) model was applied in this research followed by dashboard development using Microsoft Power BI. The CRISP-DM model consists of six continuous and connected phases, namely business understanding, data understanding, data preparation, data modelling, data visualisation, and data synchronise and update. The data was obtained from the Undergraduate Records Management Unit, Centre for Academic Management, UMPSA. The database was used in the development of the dashboard to store information in the form of reports and for data visualisation purposes. The findings hope to assist the management of UMPSA in making better decisions and planning the enrolment process of prospective students. The dashboard outlines several initiatives and best practices that should be implemented by the Malaysian Government, the Ministry of Higher Education, and UMPSA through the UMPSA 2021–2025 Strategic Plan to empower the high-level TVET agenda.

ENHANCING LIFELONG LEARNING: A DATA-DRIVEN DASHBOARD APPROACH FOR STRATEGIC DECISION-MAKING AT UNIVERSITI MALAYSIA PAHANG AL-SULTAN ABDULLAH

Rosilavi Mat Jusoh, Zetty Ain Kamaruzzaman, Galuh Tresna Murti — Mon, 17 Jun 2024 00:00:00 +0000

The purpose of this study was to develop a dashboard with information visualisation for the lifelong learning (LLL) programs at Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) and provide recommendations for UMPSA to improve the strategies and decision-making for future LLL program offerings. This study used the Cross Industry Standard Process for Data Mining (CRISP-DM) model created by the International Business Machines Corporation (IBM) and dashboard development using Microsoft Power BI. The updated database was created by obtaining data from the Institute of Graduate Studies (IPS), UMPSA. Such data was then prepared through the process of selecting, cleaning, constructing, integrating, and formatting data. The dashboard was developed using a database for data visualisation and information in the form of reports. Such information can ensure a better decision-making process and the UMPSA management’s readiness in planning the admission process for future students. However, the data management and data quality at UMPSA must be improved. Future research can expand the present investigation by including data from all categories of LLL students at UMPSA to facilitate a more comprehensive analysis. It will also enable the university management to make accurate decisions about program offerings in the future.