New digital technologies have empowered companies to make use of tools to produce insights for key supply chain processes. Resilience, the property of supply chains to respond better to disruptions, can be identified and evaluated using performance indicators. This research analyzes and predicts the indicators of firm resilience based on indicators from secondary data. These indicators can be measured on a regular basis based on performance in flexibility, responsiveness, quality, productivity and accessibility. Since source information for the data is often unknown, a methodology that is suited for prediction needs to be used. An improved grey prediction model is proposed in this research for forecasting the periodic indicators of resilience performance. This research shows that error measures ensure the best fit of the data to achieve strong prediction capability. A prediction model is applied to the supply chain of an Indian electronics manufacturer to forecast the measures of its resilience. Also, the results obtained were validated and have practical implications. For the supply chain that we studied, the indicators of flexibility, responsiveness and accessibility increased for the future periods, whereas the indicators for quality and productivity showed slight decreases. We argue that indicators with a negative trend should be given more attention by the firm. And managers should analyze the predicted values of resilience so they have an empirical basis for adjusting their strategies.

R. Rajesh

Electronic Commerce Research and Applications

电子商务研究与应用旨在为快速变化的电子商务环境创造和传播经久不衰的知识。电子商务研究的一个主要难题是如何在货币和知识寿命之间取得平衡。电子商务研究与应用将有助于建立一个研究社区，为电子商务创造知识、技术、理论和应用。电子商务的发展。这是针对技术潜力和商业目标的交叉点。

The journal "Electronic Commerce Research and Applications" aims to create and disseminate enduring knowledge for the rapidly changing landscape of electronic commerce. A key challenge in e-commerce research is balancing the value of currency with the lifespan of knowledge. "Electronic Commerce Research and Applications" will contribute to the establishment of a research community that fosters the development of knowledge, technology, theory, and applications in the field of e-commerce. This research focuses on the intersection of technological potential and business objectives.

《Electronic Commerce Research and Applications》旨在为快速变化的电子商务环境创造和传播持久的知识。电子商务研究的一个主要挑战是如何在货币价值和知识寿命之间取得平衡。《Electronic Commerce Research and Applications》将有助于建立一个研究社区，推动电子商务领域的知识、技术、理论和应用的发展。这一领域的研究聚焦于技术潜力与商业目标的交汇点。

Forecasting supply chain resilience performance using grey prediction

This research analyzes and predicts the indicators of firm resilience based on indicators from secondary data and shows that error measures ensure the best fit of the data to achieve strong prediction capability.

Category	Quartile
管理学	3
管理学, 计算机信息系统	2
管理学, 计算机跨学科应用	3
管理学, 商业管理	4

Forecasting supply chain resilience performance using grey prediction

ivySCI AI Smartly Parses PDF, Answers Researchers' Questions, and Helps You Understand Papers in Seconds

Journal Info

Category	Quartile
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS	1