Purpose: The question of resource scarcity and emerging pressure of environmental legislations has brought a new challenge for the manufacturing industry. On the one hand, there is a huge population that demands a large quantity of commodities; on the other hand, these demands have to be met by...

The pressure on companies towards sustainable development is changing the way they are dealing with their supply chain network. Practices are not limited to the company level. They are involving suppliers, customers, government, society and other stakeholders that impact and are impacted by the...

Purpose: This paper aims at proposing a method for evaluating the environmental friendliness of a supply chain department in any organization. Supply chain involves activities that could affect the natural environment and if these activities are not properly evaluated and monitored, it could...

The objectives of this study were to provide reliable and valid constructs of TQM and a measurement model in the context of Uganda's local governments (LGs) for evaluation of TQM implementation process. The paper used survey-based data from Uganda's LGs. Data were analysed through exploratory...

Sustainable manufacturing practices (SMPs) have received enormous attention in current years as an effective solution to support the continuous growth and expansion of the automotive manufacturing industry. This reported study was conducted to examine confirmatory factor analysis for SMP such as...

The role of customers in green supply chain management needs to be identified and recognized as an important research area. This paper is an attempt to explore the involvement aspect of customers towards greening of the supply chain (SC). An empirical research approach has been used to collect...

Purpose: A survey has been carried out among Italian car makers, suppliers, and customers to identify the potential changes that the traditional Italian automotive supply chain would need for the introduction of electric vehicles. In addition, this study investigates the degree of importance...

Exploratory factor analysis (EFA) is an important tool in data analyses, particularly in social science. Usually four steps are carried out which contain an large number of options. One important option is the number of factors and the association of variables with a factor. Our tools aim to...

The paper proposes a data driven adaptive model selection strategy. The selection crite- rion measures economic exante forecasting content by means of trading implied cash flows. Empirical evidence suggests that the proposed strategy is neither exposed to selection bias nor to the risk of...