This research aims to determine the effect of Supply Chain Management and constraints of existing ERP systems in PT Unilever Indonesia Tbk is a company engaged in the household production industry by offering food products, beverages, kitchen needs, to toiletries. In an effort to develop its business operations, it is known that PT Unilever Indonesia Tbk implements its management strategy through ERP and Supply Chain Management systems. The ERP system at PT Unilever Indonesia Tbk functions as an information integration tool for all company stakeholders, while Supply Chain Management functions as a tool for monitoring the flow of goods to consumers and the amount of inventory. Thus, the two strategies are related to the certainty of the performance of Unilever employees. This paper aims to analyze the performance and the relationship between supply chain management, and the effect of the ERP system implemented by Unilever companies on operational performance through interaction and communication of information in order to be efficient in implementing supply chain management strategies and ERP systems. The research method uses a document study approach, as well as primary and secondary data collection techniques. The results of the study reveals that the Supply Chain Management strategy of PT Unilever Indonesia Tbk has four components, namely supply chain uncertainty, management of economies of scale, selection of transportation modes, and product inventory control; as well as the ERP and Supply Chain Management systems of PT Unilever Indonesia Tbk have a positive and significant impact on the company's performance so as to obtain profits and achieve company goals.
The New Pelita Motor Shop is an MSME business located in Batam City that sells various types of batteries, spare parts, and power window repair services. In the marketing strategy, New Pelita Motor uses the promotion of marketing through digital marketing which aims to develop a wider selling market through digital concepts, and also this concept will make it easier in the process of spending. With this, the output of the results of the implementation can be accepted by the New Pelita Motor, such as Google Business, and Linktree which makes it easier to access the shop's social media and also develops social media for the New Pelita Motor.
This study examine the role of Corporate governance (proxied by audit committee independence variables, institutional ownership, independent commissioners, board size) and enterprise risk management in predicting the emergence of corporate financial distress. The research design is quantitative. The research object or population studied is mining companies listed on the Indonesia Stock Exchange (IDX) during the period of 2016-2021. The method used for determining the research sample is purposive sampling, namely determining the sample from the existing population based on predetermined criteria obtaining research sample of 132 observations. All data sets are sourced from the Indonesia Stock Exchange website. This study is employing Panel Regression Analysis including descriptive statistics analysis, correlation, and hypothesis testing using the EViews 12 software. The result posits that institutional ownership has a significant positive effect on financial distress, while the independence of the audit committee, independent commissioners, board size, enterprise risk management do not have a significant impact on financial distress. Further, the control variable of this study, namely company size, has a significant negative effect on financial distress. This study is expected to have significant contribution to Mining enterprise’s stakeholder in examining prominent factors in predicting financial distress.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.