The purpose of this research is to develop an early warning system model that can anticipate the occurrence of delisting of Islamic stocks (ISSI) using Support Vector Machines (SVM). Financial variables used consist of debt to equity, return on invested capital, asset turn over, quick ratio, current ratio, return on assets, return on equity, leverage, long term debt, and interest coverage. The population of this study is 335 sharia shares registered at ISSI in the period 2012-2017, with a total sample of 102 companies. The results show that the financial variables had a predictive power to the occurrence of delisting of Islamic stocks in the ISSI index. The effect of the independent variable or predictor variable is the financial ratio to the target variable or the dependent variable that is the potential for delisting of Islamic stocks in the ISSI index. With the development of 4 SVM models with different levels of prediction accuracy, SVM Model 1 with an accuracy rate of 71.57%, SVM Model 2 with an accuracy rate of 72.55%, SVM Model 3 with an accuracy rate of 82.35% and SVM Model 4 with an accuracy rate of 100%, it can be concluded that the SVM Model 4 is the best model.

The performance of sustainable supply chain management today, especially for palm oil, continues to experience a drastic decline from the social, economic, and environmental perspectives. Both the supply and demand sides are undergoing severe disruption due to the COVID-19 pandemic. To survive the COVID-19 situation and afterward, the palm oil industry needs to focus on priority indicators for immediate improvement. For that reason, our study aims to determine the primary indicators used to assess the performance of sustainable supply chain management to improve the palm oil industry's performance immediately. The F-AHP method is used to rank which indicators are focused on the COVID-19 situation and thereafter. The findings of this study designate that there are three main indicators, namely from the economic side (adaptability), the social side (improving employee health and safety), and the environmental side (sustainable supplier management). This finding is beneficial for the industry and for supply chain actors such as suppliers, customers, and the government in taking attitudes and setting policies related to sustainable supply chain management in the face of pandemic.

Dry Port, a supply chain company, strives to bring its workers up to speed in the current VUCA world. The study explores the degree to which ambidexterity affects agility, which can impact organizational effectiveness. The structural equation model with multilevel simulation used to test the research hypothesis. The study indicates that ambidexterity is an influential factor to agility, and that ambidexterity is also an impactful factor to agility and organizational effectiveness. Furthermore, there is also evidence that the power of agility contributes to greater organizational effectiveness, and also that ambidexterity has an impact on organizational effectiveness through workforce agility. To achieve organizational effectiveness in dry port business, mobile devices and social network technology are functional enablers of ambidextrous activities that can allow staff to be agile in handling dry port business tasks.

Dry Port, a supply chain company, strives to bring its workers up to speed in the current VUCA world. The study explores the degree to which ambidexterity affects agility, which can impact organizational effectiveness. The structural equation model with multilevel simulation used to test the research hypothesis. The study indicates that ambidexterity is an influential factor to agility, and that ambidexterity is also an impactful factor to agility and organizational effectiveness. Furthermore, there is also evidence that the power of agility contributes to greater organizational effectiveness, and also that ambidexterity has an impact on organizational effectiveness through workforce agility. To achieve organizational effectiveness in dry port business, mobile devices and social network technology are functional enablers of ambidextrous activities that can allow staff to be agile in handling dry port business tasks.

Supply chain management (SCM) practices have become strategic resources and capabilities for enhancing both competitive advantage logistic performance (ORGPER). However, it is not clear how SC Practices influence logistic performance in the agribusiness context. However, the mechanism of SCMPs effects is not yet understood since extant literature has produced mixed results. Hence, this study sought to test the impact of mediation of the competitive advantage of relations between SCMP and Reperform the point of view of Kenya's dairy supply chain. The study examined four estimates that were tested using partial minimum square structural equation modeling (PLS-SAME) techniques to work out the purpose of the study. Across-departmental survey design has been used to collect preliminary data from109 dairy cooperatives in thirteen major dairy producing counties in Kenya. The results reveal that SCM practice has a positive and significant effect on CA(P=0.730) and ORGPER (P=0.237). In addition, THERE is a positive, statistically significant effect on THECAORGPER (P=0.522). Further results show that CA mediates the relationship between SCMP and ORGPER. Consequently, the study concludes that SCMPs first generate CA, which in turn enhances ORGPER in a logistic sense. Theoretically, the study provides insights on the resource-based view theory as well as a conceptual framework for its validation. Similarly, the study informs managers and policymakers in knowing specific SCMPs to focus on to enhance CA and ORGPER of the dairy cooperatives in Kenya.

The idea of supply chain management (SCM) is covering its perspective in the form of flow of material and information from the business to customers. Its application in the field of tourism is also very much significant. The objective of present study is to analyze the empirical association between the supply chain management and tourism industry from the context of hotel industry in Indonesia. For this purpose, a questionnaire-based approach is followed while taking the demographic factors regarding age, gender and qualification. A sample of 272 respondents is finally accepted for the empirical examination between supply chain and its implication in tourism industry. Both descriptive and regression analysis are conducted. To analyze the factor of supply chain, sixteen items are considered from the existing literature while considering the strategic supplier partnership, information sharing, and information quality as the key indicators. The factor of tourism is meas-ured through four different proxies. The practical implications of the study are taken both the tourists and key policymakers while dealing with the SCM and its integration with those hotels dealing with the tourism and related services. This study contributes towards the future trends in the form of integration for SCM and tourism industry.

Synergy is built by manufacturing companies with suppliers and customers in the supply chain to improve organization performance. The research provides simultaneous testing of competency management, supply chain integration, supply chain quality, operational capability as a strategy to improve company performance. Collecting data for medium and large manufacturing companies in Indonesia are performed by sending a questionnaire link via email and WhatsApp. 625 respondents received the questionnaires and 152 respondents filled them with a response rate of 24.32%. Data analysis were performed using partial least squares to test the hypotheses and found that competency management had a direct impact on supply chain integration (0.598), supply chain quality (0.387) and operational capability (0.346). Supply chain integration affects increasing supply chain quality (0.428), operational capability (0.619) and organizational performance (0.255). Supply chain quality impacts increasing operational capability (0.260) and does not significantly affect organizational performance (0.018). The operational capability of a manufacturing company has an impact on improving organizational performance (0.584). Practical contribution is that managers who manage the supply chain must continue to enhance skills and knowledge and supply chain components in quality for increased performance.

The relationship between the organization and its clients is the life of every enterprise, whether it is a multinational corporation of several billion employees and a multi-million-deposit business or sole traders with a handful of daily customers. The relationship between the organization and its traditions is the key concern. Between these two cases, consumer relationship management (CRM) is the same in theory and may differ significantly. Both the company and consumers have some factors to meet, such as the desires and expectations of all sides, before forming a contract. We need to earn a profit to succeed and to improve clients expect excellent support, better goods and reasonable pricing. The implementation of a CRM program will impact consumer service and customer knowledge for various purposes. Likewise, adopting a CRM strategy would definitely affect consumer loyalty and awareness. CRM guarantees that consumers are happy and strengthens ties between the company and its clients. Such practices improve the partnership between customers and sales representatives. The study carried out the quantitative approach in the delivery of the questionnaire to more than 100 bank customers. In concise and inferential statistics, the data were handled using the SPSS statistical method. Data indicates that the strong relationship between consumer loyalty and customer happiness of CRM technologies occurs and the stronger the overall customer satisfaction score, the larger the volume of CRM technology deployed.

This study evaluates the technical efficiency, productivity change of financial companies listed in the Malaysian stock exchange (Bursa Malaysia) and examines the effects of productivity change on efficiency over the period 2007–2016. Moreover, this study also concentrates on the ranking of financial companies according to their efficiency scores. Data Envelopment Analysis (DEA) is uti-lized on a Malmquist Productivity Index in order to calculate the financial companies’ efficiency scores. The results of this study show that some firms were fully efficient. The results implied that these companies were in optimal control of their inputs or resources to generate the maximum outputs. Also, the results indicate a tremendous productivity gain was mostly because of a positive shift in frontier technology and positive shift in technical efficiency. This study is significant because it helps to identify the efficient companies from the financial sector in Malaysia based on multiple inputs and outputs by using the DEA model. Common misspecification problems observed that instability of efficiency scores over productivity.

To respond to the adoption of carbon pricing regulations, researchers and industry are developing low carbon inventory models that can meet emission reduction targets while maintaining company profits. The challenge is getting tougher when the company is still facing problems related to imperfect product quality. This research solves this problem by developing an economic order quantity (EOQ) model by considering several sources of carbon emissions, as well as the influence of the defective rates, different demand rates, selling price and holding cost for defective products, and shortages backorder. The objective function of the formulated mathematical model is to minimize the total costs which include the emission costs. A numerical example is developed to illustrate the model based on the previous data set. Sensitivity analysis is also carried out to validate the model and to learn more about the system characteristics. The total emissions are calculated and the affecting factors are identified.