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relevance of predictive analytics solutions | My Assignment Tutor

relevance of predictive analytics solutions | My Assignment Tutor

October 29, 2021 by B3ln4iNmum

MITS Advanced Research Techniques Research Question and Abstract Candidate:  Sandeep Shrestha Student ID No: 46943 Higher Education Department Victorian Institute of Technology Research Question: Based on the topic, the following research question is to be addressed: What is the importance and relevance of predictive analytics solutions in Supply Chain Management?How can Predictive Analytics technologies be used in different areas of supply chain management such as resource allocation, inventory management, information sharing?What are the positive and negative impact of using predictive analytics in supply chain management? Abstract  The main purpose of this research is to develop a theoretical model explaining the impact of predictive analytics and big data on supply chain management outcomes in organizations. Evidence from different data sources is to be evaluated in this study using theoretical models such as contingency theory and resource-based view logic. Literature review including a wide range of previous studies is to be performed in this research for deriving existing concepts and identifying areas of implementation for predictive analytics in this industry. Predictive analytics solutions are quite frequently used in the modern supply chain management processes in decision-making activities, allocation and organization of resources and future prediction of organizational outcomes. Many alternative areas of implementation have also been identified in previous studies that are to be explored in this research. This research further identifies the fundamental research questions that need to be addressed in the actual research work related to the topic of “predictive analytics application and big data in supply chain management processes”. Predictive analytics in Different individual areas such as inventory management, organizational performance measurements, information sharing and planning as well as economic or environmental predictions are to be considered in this study that can provide effective guidance to supply chain managers, policymakers and practitioners. Sustainability factors in supply chain management and their relatability with the use of predictive analytics techniques have also been evaluated to some extent in this study. This paper attempts to make some original contributions to establish the primary research background for further learning in this topic and it also presents evidence-based on previous findings that big data and predictive analytics are being researched extensively for supply chain implementations nowadays.

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