This paper examines the health operations flexibility dimensions in the United Arab Emirate in the healthcare sector by employing Structural Equation Modeling (SEM) approaches. The study also attempts to determine the numbers for the operational flexibility dimensions which will help the researchers in future find healthcare operational flexibility dimensions valid and reliable. A model consisting of two constructs of operations flexibility structures: external flexibility and internal robustness is examined to measure health operations flexibility elements in service sectors. Respondents are the health leaders (managers, middle manager, top manager and others) who were working in health service sectors in the United Arab Emirate. The underlying constructs of operations flexibility are empirically verified and validated through Reliability Analysis Procedure, Exploratory Factor Analysis (EFA), First and Second Confirmatory Factor Analysis, and Construct Validity Procedures, Structural Equation Modeling (SEM) was employed to test the model, drawing on a sample of 250. The findings revealed that the model of the UAE health service sector consists of two latent's operations flexibility dimensions namely external flexibility and internal robustness, each dimension consisting of four items. Further research should be considered to validate these findings in the other firms. The two dimensions of health operations flexibility represent a valid instrument to measure the operations flexibility in the services sector in the United Arab Emirate. This research is important for one to understand the main topics of health operations flexibility in the health services sector.

ASEAN Countries members plus Japan, South Korea, and China (ASEAN+3’S) logistics performance play a significant role in maintaining and improving their export and import values, depending on the various commodities trade. Meanwhile, during uncertain situations today, the stakeholders need to enhance the capability of import and export activities to improve logistics performance. The study focused on the competitiveness of the manufacturing products traded by these countries. The study used panel data analysis based on the panel data of 11 years (2008-2018) from the 10 ASEAN+3 countries. Export value and Net Comparative Advantage (NCA) index (including net export and trade openness) were used as dependent variables in the two model studies, and logistics performance was the primary variable. The result shows that logistics performance positively affects the export and trade competitiveness models of ASEAN+3’s manufacturing products. The Logistics Performance Index (LPI) provides estimates that suggest that logistics performance has a significant impact on ASEAN + 3 export value (ExpM) and manufacturing trade competitiveness (NCAM). Meanwhile, there are different results of the effects of macroeconomic variables between the model of export value (ExpM) and the NCAM in the manufacturing in ASEAN+3’s. The ExpM model follows the theory that Gross Domestic Product (GDP) and Foreign Direct Investment (FDI) increase the competitive value in ASEAN+3 countries. Meanwhile, in the NCAM model, GDP and FDI reduce trade competitiveness because of the high value of ASEAN+3 manufacturing imports.

Most SME owners have understood the importance of several strategies to run their business more professionally. Financial literacy, technological literacy and supply chain practice are some of the important strategies to maintain the sustainability of SMEs. The research was conducted in Indonesia, in the East Java region whereas a developing country, SMEs are the backbone of the economy because most of the people are involved in this sector. The research sample was taken from data recorded at the Export Center office, and as many as 485 SME owners were involved in this study. Quantitative analysis using SEM-PLS analysis found that financial literacy, technological literacy, and supply chain practice contributed positively and significantly to the sustainability of SMEs. If SME owners are aware and understand the importance of financial literacy and are supported by technological literacy and strengthened by supply chain practice, then the opportunity for SMEs to run their business in a sustainable manner is even greater.

This research has investigated the impact of top management commitment to enhance operational performance through green purchasing and green production Practices in the manufacturing industry. The study has surveyed 122 from 578 manufacturing companies domiciled in East Java, Indonesia, using a questionnaire designed with a seven-point Likert scale. Data analysis used the partial least square. The result revealed that top management commitment affects green purchasing, green production practices, and operational performance. Furthermore, operational performance is directly affected by green purchasing and green production. The green purchasing affects green production. In addition, top management commitment indirectly improves operational performance through green purchasing and green production. This result provides essential insight for the manager in the manufacturing industry that top management commitment and practicing green purchasing, and green production enhances operational performance. Furthermore, this research extends the acceptance of previous research related to top management commitment, green purchasing, and green production in improving operational performance. The novelty of this study is the revelation of the mediating role of green purchasing and green production in the influence of top management commitment on operational performance. Hence, this study contributes to enriching the current research in supply chain management.

The purpose of this paper is to conduct a bibliometric analysis to analyze trends and patterns of outsourcing and supply chain research results using statistical and co-word analysis. The search results in the Scopus database yielded 787 relevant documents with the keywords outsourcing and supply chain from 1997 to early 2022. The results of the bibliometric analysis resulted in the number of publications, citations, subject areas, country, keywords, and topic clusters. The trend of outsourcing and supply chain research tends to increase every year although it had a significant decline in 2011. The documents with the most citations are related to supplier selection using analytical network processes, optimization of outsourcing partners, and ICT in the supply chain. The four fields that dominate the research area are business management, engineering, decision science, and computer science. The United States of America is the most productive country with the most citations. There are four cluster topics formed: the importance of supply chain management in outsourcing in industry and ICT in company activities, the impact of supply chain on business performance and outsourcing decisions, logistics outsourcing decisions to third parties and their effectiveness, lastly the benefit costs of outsourcing and the implications for product management. This paper provides an additional updated overview of the outsourcing and supply chain research map.

Aviation safety performance at Wamena Indonesia airport is still relatively low, and this is shown by the high number of accidents that occurred at the airport in the 2013-2018 period, namely 20 accidents. The low performance of flight safety at Wamena airport is suspected to be related to the lack of optimal implementation of safety risk management and the competence of airport staff that still needs to be improved. The study aimed to determine the effect of safety risk management and airport personnel competence on flight safety performance at Wamena airport in eastern Indonesia. The research was conducted using a quantitative approach involving some respondents from airport staff and as many as 60 officers. The results showed that there was a significant direct effect of safety risk management on the flight safety performance of 79.8%; there is a significant direct effect of airport personnel competence on flight safety performance by 81.8%; there is a significant direct effect of airport personnel competence on safety risk management of 98.1%; there is a significant direct effect of safety risk management and the competence of airport personnel simultaneously on flight safety performance by 96% and based on research results show that indirectly safety risk management has an influence on flight safety performance through airport personnel competence of 97.7%.

In line with Sharia principles, this study explores the correlation between increased returns and heightened risks, aligned with Al-Ghunm bi Al-Ghurm. Daily data from the Jakarta Islamic Index 70, spanning December 2021 to November 2023, was analysed using quantitative methods. Four key trading strategies were assessed: buy-and-hold and three Ichimoku strategies (Conservative, Moderate, and Aggressive). The results indicate the effectiveness of a moderate Ichimoku strategy because of its well-balanced approach. Despite no significant performance differences between Ichimoku's trading rules and buy-and-hold, the study emphasizes nuanced decision-making for diverse investor preferences. The insights benefited Indonesian Sharia investors, suggesting enhancements in risk mitigation techniques, and considering external factors. Enriching technical analysis and Sharia-compliant investments, this study underscores the importance of aligning financial objectives with ethical considerations, contributing to the evolving landscape of the Indonesian Sharia stock market.

This research deals with a multi-job Integer batch scheduling problem on a single machine with different due dates. Every job demanded one or more parts, and the single machine processed the job into a number of batches. The objective is to minimize total actual flow time, defined as the total flow time of all jobs starting from the arrival to the common due date. The decisions are to determine the sequence of jobs, the number of batches, batch size, and sequence of all batches on a single machine. This research proposes three algorithms, developed based on the longest due date rule (The P1-LDD Algorithm), the adjacent pairwise interchange method (The P2-API Algorithm), and the permutation method (The P3-PM Algorithm). The numerical experience shows that the three algorithms produce an outstanding solution. The P1-LDD Algorithm fits to solve a simple problem. The P2-API Algorithm has superior to solve a big complicated problem. The P3-PM Algorithm has the best performance to solve small complicated problems.

The palm oil industry has a strategic role in economic development in Indonesia, especially in alleviating poverty and creating other businesses that can support the industry. Operational activities in the palm oil industry are closely related to environmental issues (deforestation, land-use change, and air pollution) and social conflict. The certification program is an effort for the palm oil industry to implement sustainable development. The certified palm oil industry will increase industrial profitability in the long run to increase investor interest in the future. The decision to choose palm oil industry stocks that carry out sustainable practices and generate maximum returns is an exciting issue, but how investors can choose the right stocks and the minimum risk level. This study aims to apply the decision-making model to choose the optimal stock in the palm oil industry, which involves sustainable certification and risk criteria. The method used in this study was the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) based on the Indonesia Stock Exchange (IDX) data. Determinants of stock selection decisions from previous research are considered criteria for decision making. Through the PROMETHEE method, a list of the rankings of the oil palm industry shares can be generated. The sustainable certification and risk criteria can be used as a reference for relevant stakeholders such as investors. Further studies need to be developed by adding non-financial criteria in the firm and developing the criteria to differentiate each other.

Cutting betel nut machines are increasingly being designed by engineers using local material. However, the performance of the cutting betel nut machine is influenced by the moisture content of the betel nut and the rotational speed of the machine. In this study, the performance of cutting a betel nut machine under moisture content of betel nut and rotational speed of the machine was studied using response surface methodology (RSM) and desirability function. Central Composite Design (CCD) coupled with RSM and desirability function was employed to evaluate the impact of moisture content of betel nut (34.68–50.54%, w.b.) and rotational speed (600–1000 rpm) on machine capacity (kg/hr), efficiency (%), and losses (%) responses. The desirability function was then used to optimize moisture content and rotational speed yielding maximum machine capacity and efficiency at lower losses. Three verification experiments were run to ensure the empirical relationships were valid. Optimum requirements of process parameters have been seen at which moisture content of 50.54% (w.b.) and rotational speed of 1000 rpm was achieved in maximum machine capacity of 44.16 kg/hr at higher efficiency (92.72%) and lower losses (6.31%). The model's conclusions were very consistent with the confirmed values. The results proved that an appropriate performance of the machine can be achieved using moisture content of betel nut and rotational speed of machine cutting betel nut.