Intermittent demand forecasting is an important challenge in the process of smart supply chain transformation, and accurate demand forecasting can reduce costs and increase efficiency for enterprises. This study proposes an intermittent demand combination forecasting method based on internal and...

Purpose The purpose of this paper is to estimate the real urbanization level in China so as to provide a measurement that can be compared with the international level. Design/methodology/approach Taking into consideration 300m residents living in the administrative towns (300m residents here are...

The repercussions of disruptions in the global crude oil market have a substantial influence on economies worldwide. Oil shocks are considered important estimators of many economic variables. The current research examines the effects of oil price shocks on food prices in China using monthly data...

The prevalence of digital ecosystems and platforms underscores the need for a deeper understanding of the factors that influence performance variations within these platforms. This study introduced a multidimensional model to examine the platform ecosystem characteristics that affect performance...

In the digital economy age, carbon emission reduction is perhaps the most crucial contribution affecting national activities and international negotiations. In a potential carbon reduction conflict, a rational participant expects to select a suitable strategic opinion to reach another state with...

In the lithium-ion battery (LIB) supply-chain, transactions involve several rounds of ordering, production and delivery between LIB suppliers and electric vehicle (EV) manufacturers. The sustainable performance of LIB suppliers, related to various characteristics, significantly affects the...