Purpose The implementation of reverse logistics (RL) as a strategic decision has gained significant attention amongst organisations due to its benefits to sustainable development. The purpose of this paper is to provide a comprehensive review of the literature to evaluate the performance of the RL process based on the three dimensions of sustainability including environmental, economic and social aspects. Design/methodology/approach Content analysis was adopted to collect and analyse the information. Findings The findings of this research show that most of the studies have focused on the performance evaluation of RL by considering the factors associated with economic and environmental performance. The social aspect of RL has been overlooked and requires investigation due to its contribution to positive social outcomes. In addition, no research has been conducted to assess the impact of each of the disposition options on the triple-bottom-line sustainability performance in one study. Originality/value Although RL can make a significant contribution to improving the sustainability performance of firms, little research has been undertaken on exploring the relationship between RL and sustainability performance. This paper provides practitioners, academics and researchers a broad and complete view of the relationship between RL and sustainability performance with suggestion for future research.

ABSTRACT:A unique specification in remanufacturing is the uncertainty of returned flows. This makes the coordination between supply and demand difficult for the firm. As a result, remanufacturers typically use pricing tools to control the return flow of used products. In this study, a model is presented for optimal quantity and price of used products and the price of used products with replacement parts after collection and consolidation based on their quality levels. This model

The present study seeks to examine the intention of the new technology adoption of software-based mobile banking (M-banking) by considering two theories with a combination of structural equation modeling (SEM) and interpretive structural modeling (ISM). The combined role of these two theories (and two combined methods) is examined for the first time. The object of this study consists of 385 customers of Iranian banks. Data are collected through a questionnaire and analyzed using the structural equation model. Since the structural equation model is used to validate variables and determine the impact intensity, the ISM method is applied to understanding mutual influences amongst the variables' dimensions and finding the magnitude of effects of these variables on attitude. The results of hypothesis testing show that logical and illogical reasons for M-banking adoption significantly affect customers' attitudes toward the use of M-banking. The results of ISM show that "Usage Barrier" has the highest impact among its elements. As the two theories are combined and examined to classify the intensity of the effects, the factors in adoption behavior are investigated for an understanding of the effect of new technologies of mobile banking applications on its use.