Radio frequency identification (RFID) technology has been used to collect information for use in information systems that support knowledge-based business decisions. Most applications involve using the technology for automatic identification and tracking within facilities and supply chains....

Radio frequency identification (RFID) technology has been used to collect information for use in information systems that support knowledge-based business decisions. Most applications involve using the technology for automatic identification and tracking within facilities and supply chains....

In this paper, we study a supply chain comprising one manufacturer and one retailer. Customers can make purchases either from the retailer or directly from the manufacturer via an e-tail channel. From the manufacturer's perspective of managing the two channels, we study three different inventory...

This research first conceptualizes, develops, and validates four constructs for studying RFID in health care, including Drivers (Internal and External), Implementation Level (Clinical Focus and Administrative Focus), Barriers (Cost Issues, Lack of Understanding, Technical Issues, and Privacy and...

We study a partially linear varying coefficient model where the regressors are generated by the multivariate unit root I(1) processes. The influence of the explanatory vectors on the response variable satisfies the semiparametric partially linear structure with the nonlinear component being...

In this research, we study a supply chain which consists of a firm and a set of customer groups, where the demand (order quantity) from each customer group depends on the quoted delivery time. The prices of the product are determined and different to each customer group. The firm's objective is...

In this paper we extend the semiparametric varying coefficient model to contain non-stationary I(1) and time trend as covariates. We show that the local constant kernel estimation method leads to a consistent estimation result. This is in contrast to the semiparametric varying coefficient model...

In this paper, we consider an inventory–routing problem (IRP) in a large petroleum and petrochemical enterprise group. Compared to many other IRPs, the problem in this paper includes some special aspects due to the operational constraints, such as hours-of-service regulations of the company...

This paper considers the maximum likelihood estimation of the panel data models with interactive effects. Motivated in economics and other social sciences, a notable feature of the model is that the explanatory variables are correlated with the unobserved effects. The usual within-group...