ABSTRACT The aim of this research is to verify whether institutional quality affects the relationship between green innovation and firm efficiency within the high‐tech manufacturing sectors. To estimate jointly the parameters of a stochastic frontier and the coefficients of a model explaining technical inefficiency, we employed the one‐step estimation ...
Mariarosaria Agostino +2 more
wiley +1 more source
The Influence of Rare Earth Metals on the Microstructure and Mechanical Properties of 220 and 356.1 Alloys for Automotive Industry. [PDF]
Doty HW +4 more
europepmc +1 more source
Loading Rate and Temperature Interaction Effects on the Mode I Fracture Response of a Ductile Polyurethane Adhesive Used in the Automotive Industry. [PDF]
Perez M +5 more
europepmc +1 more source
ABSTRACT Amid growing resource pressures, environmental regulation plays a critical role in enabling the transition to a circular economy (CE). This study conducts a systematic literature review to synthesize how different regulatory approaches—command‐and‐control, market‐based, voluntary, and reflexive—affect CE transitions across economic and ...
Li Yuan
wiley +1 more source
Engaging social media users with corporate social responsibility messages: An integrated theoretical approach in the automotive industry during social media era. [PDF]
Dong H, Zhao P, Ngai CSB.
europepmc +1 more source
A genetic algorithm approach to design job rotation schedules ensuring homogeneity and diversity of exposure in the automotive industry. [PDF]
Assunção A +7 more
europepmc +1 more source
ABSTRACT The global manufacturing sector has increasingly adopted circular economy (CE) practices to address sustainability challenges and improve operational efficiency. This study explores the impact of five CE practices—reduce, reuse, remanufacture, recycle, and recover—on key operational performance dimensions: quality, speed, dependability ...
Jose Arturo Garza‐Reyes +5 more
wiley +1 more source
Increasing load factor in logistics and evaluating shipment performance with machine learning methods: A case from the automotive industry. [PDF]
Kılıç Sarıgül R +2 more
europepmc +1 more source

