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Topic:

Managing the Digital Enterprise

Coursework Instructions:
MDE Assessment 2 Suggested Outline Title Page Introduction o Introduce the critical role of supply chain management in today's digital era. o Outline the main objectives of the paper. Findings Analysis of the Statement o Critically assess Laudon & Laudon’s assertion regarding the transition from sequential to concurrent supply chains. o Support your critique with data, examples, and arguments from relevant literature. Evaluation of Technology in Supply Chains o Discuss how companies use the Internet and related technologies to optimize their supply chains. o Include examples of the benefits of technology implementation. Value Proposition Analysis o Analyze how technology-enhanced supply chains can improve a company's customer value proposition. o Provide examples of companies successfully enhancing their value proposition through technology. Challenges and Issues o Examine possible issues in supply chains resulting from technological advancements. o These may include issues like cybersecurity risks, high implementation costs, and more. Conclusion o Summarize the key points discussed in the paper. References o List all academic references and publications cited in your paper. APA 7th . Appendices (if necessary)
Coursework Sample Content Preview:
Managing the Digital Enterprise Student Name Institutional Affiliation Course Code Instructor Date In this fast-paced digital world, supply chain management has become a central business feature, thus facilitating companies to tighten their operations, reduce costs, and improve customers’ experiences. Utilizing these cutting-edge technologies like the Internet of Things (IoT), blockchain, artificial intelligence (AI), and robotics has ushered in a new era of supply chain management. These innovative technologies have helped the transition from sequential supply chains to more collaborative and data-sharing-efficient concurrent supply chains characterized by real-time information sharing, seamless collaboration, and improved decision-making. This paper explores the critical role of technology in supply chain management and how it enables a company to be more valuable to its customers. Analysis of the Statement Laudon and Laudon actively emphasized an established and studied fact of supply chain management: the transition from sequential to concurrent supply chains. Traditional supply chains, which are sequential and follow one-way and one-directional flows of information and materials, are being overrun by concurrent supply chains that enlarge the possibilities for instantaneous collaboration and information exchange among various supply chain actors. Due to the wide application of modern technologies, such as IoT, cloud computing, and advanced analytics, transitioning to Industry 4.0 has gained momentum, providing real-time data visibility, smooth data exchange, and more informed decision-making. IoT sensors embedded in products, vehicles, and warehouses produce gigantic amounts of data that help companies track and achieve perfect efficiency in every step of the supply chain process by generating high-precision data (Song et al., 2020). Cloud computing platforms and modern analytics tools provide a new dimension for companies to analyze this abundance of data, enabling them to make educated decisions about inventory management, logistics planning, and forecasting demand. However, blockchain technology has emerged as a revolutionary technology for supply chain management, ensuring complete security and transparency of transaction records. This inherent feature of immutable ledger records improves traceability, reduces fraud, and helps develop trust among the supply chain partners. Hence, they can do better when it comes to joint work, share information in real-time, and respond rapidly to changes in the market or disruptions, which would guarantee the development of their supply chains' agility and resilience (Patel, 2023). The shift from linear to networked supply chains has been propelled by increased efficiency, quickness, and collaboration within the dynamic and globalized commerce ecosystem. In past times, the traditional supply chains with the linear flow of information and material had several silos, a lack of communication, and an absence of end-to-end visibility, which invariably contributed to inefficiency, delay, and customer dissatisfaction. While the parallel supply chain uses the power of instant data sharing for all stakeholders, such as suppliers, manufacturers, logistics providers, and retailers, to contribute and get the same information from one source, the concurrent supply chain enables this. With the aid of this cooperative scheme, we can effectively deal with problems, make fast decisions, and implement corrective measures promptly in case of increased demand, supply disruption, or other external factors. The Internet of Things technology is essential in parallel supply chain construction as it constantly supplies data from multiple chain nodes (Belhadi et al., 2022). IoT sensors can detect the actual geographic position and condition of an object in real time, and this data can be used to implement ways to make processes more efficient, eliminate delays, and minimize waste. For instance, the real-time tracking of shipments can give the customer the opportunity. Companies are diversifying the way they transport goods, or instead diverting in the event of delays or disruptions, to ensure the delivery of goods on time, which puts a smile on customers' faces. Cloud computing and advanced analytics abilities can be accounted for by the fact that cloud systems possess the computational power to run heavy computational tasks and analytic capabilities that are necessary for processing and extracting useful information from massive data sets generated by IoT devices and other sources (Belhadi et al., 2022). Predictive analytics allows for forecasting and optimizing demand trends and stock levels and identifying the risks in the supply chain, giving opportunities for preemptive decision-making and risk control strategies. The features of blockchain technology, based on the fact that it is a distributed immutable ledger, guarantee high transparency and security, which is crucial for reliable and transparent supply chains. The blockchain, the ledger of transactions that cannot be distorted, allows all the participants to access the needed information and check it, significantly lowering the risk of fraud, counterfeiting, and disputes. That is practically true of any enterprise, no matter what sector it represents, as a common understanding is growing, and more and more firms are incorporating blockchain to optimize their supply chains and stay ahead of the competition. Evaluation of Technology in Supply Chains Technology has become a revolution for businesses of all types of industries, and they have used it to improve their logistics and gain competitive power over their rivals. For instance, Amazon has been trying to automate warehouse operations for picking and packing goods, making order fulfillment faster and warehouse operations more efficient (Zhu, 2020). However, one more advantage of Walmart is using blockchain technology to raise the transparency and food safety of the supply chain, and that is to increase accountability. Applying such advanced technologies is generally the main driving factor for companies when attaining strategic objectives and operating successfully. Real-time product, asset, and process monitoring and tracking results in complete visibility and transparency of supply chains, through which companies can gain knowledge, make informed choices about the situation, and respond promptly and effectively to disruptions and changes, thus enhancing supply chain resilience. For example, firms might use technology that allows remote monitoring and updates the exact whereabouts and conditions of the goods in real-time, as long as the location of the goods is known. Therefore, it allows them to prevent upcoming problems, which can be solved by rerouting shipments or planning alternative routes. Moreover, they utilize cutting-edge analytics and predictive modeling to manage their inventory to avoid stockouts and overstocking that could lead to waste and loss of profit. Companies can forecast demands using data analytics involving data, demand patterns, and external factors. Therefore, the correct products will be held at the right place and time, minimizing excess stocks and related carrying costs. Last but not least, ...
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