The literature on grocery store loyalty views a consumer as possessing store loyalty toward a particular store for her or his overall shopping needs. In this study, we examine store loyalty as a category-specific trait, i.e., a consumer could be loyal to Store A in category 1, but loyal to Store...

We contribute to the burgeoning literature on macroeconomic forecasting by exploring the benefits of machine learning methods. The performance of machine learning algorithms, factor models and MIDAS in forecasting China’s real GDP growth rate is evaluated in an extensive pseudo out-of-sample...

Assessing the profitability of a customer is very important to a firm from the standpoint of planning retention (and even acquisition) initiatives. Customer profitability is also the defining concept of customer relationship management (CRM). In this paper we propose a framework to quantify the...

In this paper, a model containing two manufacturers of different market competitiveness retailing products in the carbon emissions trading market with competition was established. Among them, a manufacturer is in a limited market leadership position and intermediate state between the Stackelberg...

In this article, the authors offer a methodology to decompose the effects of price promotions into brand switching, stockpiling, and change in consumption by explicitly allowing for consumer heterogeneity in brand preferences and consumption needs. They develop a dynamic structural model of a...

Overseas industrial parks (OIPs) offer platforms to host countries for foreign and domestic company agglomeration in key industries to promote economic development. This study examined 126 Chinese OIPs in “Belt and Road Initiative” (BRI) countries to study the productive effects in the host...

According to the practical situations, for the systems such as airliners and ships, the engineers pay more attention to the availability besides the reliability and maintenance cost. To address preventive replacement problems of the balance between the expected cost rate and availability, we...

We contribute to the burgeoning literature on macroeconomic forecasting by exploring the benefits of machine learning methods. The performance of machine learning algorithms, factor models and MIDAS in forecasting China’s real GDP growth rate is evaluated in an extensive pseudo out-of-sample...