Relationship between Crude Oil Prices and Stock Prices of Alternative Energy Companies with Recent Evidence

This paper examines the recent interactive relationships between crude oil prices and stock performances of alternative energy companies. Oil prices and stock index of alternative energy sector are found independent from each other before late 2006. Contrary to existing studies, however, we find significant interdependence between oil prices and stock index of alternative energy industry in the recent years. Since late 2006, oil prices become significantly responsible for the stock performances of alternative energy companies. This finding suggests that the stock market investors of alternative energy sector incorporate oil price shocks into their trading decisions only recently.Crude oil price; Alternative energy; Oil stock index

HOW CUSTOMER PARTICIPATION CAN DRIVE REPURCHASE INTENT

The purpose of this paper is to examine the impact of customer participation in the service delivery process by designing and testing an empirical model with the customers’ point of view in mind. Data are collected in the context of professional financial insurance services. The proposed model is analyzed with partial least squares (PLS) path modeling in SmartPLS 2.0 software. The results of the study show that customer participation produces positive effects on customer satisfaction and affective commitment through the customer relational value. Affective commitment is a strong predictor of repurchase intent, but no relationship between customer satisfaction and repurchase intent was found. This study suggests that customer participation can be a win-win situation for customers and the service firm. Customers who create relational value with their service providers effectively enjoy their services more and are more likely to build and maintain long-term relationships with their service firm. Our findings highlight the roles of the customer and indicate the heuristic value of viewing customer satisfaction and affective commitment as consequences of customer participation. This can enhance the understanding of how encounters should be designed in order to support employees and improve the co-creation of value

Application of Grey Theory in the Construction of Impact Criteria and Prediction Model of Players’ Salary Structure

[[abstract]]Salaries of professional players are usually determined prior to the execution of the responsibilities assigned by the organizations and are often based on the expected future performance of these players as derived from their past achievement. The study first identifies criteria that would affect players’ salaries through literature reviews and then utilizes grey relational analysis (GRA) and grey prediction model to calculate weights of salary impact criteria, players’ annual performance index, and salary prediction for the coming year. The performance data of players from the Chinese Professional Baseball League (CPBL) are used in this study. The results are as follows: (i) CPBL teams do refer to players’ past performance records and future performance prediction when deciding on their salaries and (ii) future performance prediction must be made using at least a 3-year data set. The proposed prediction model is able to effectively provide relevant and useful information to the CPBL teams’ management during players’ salary adjustment.[[notice]]補正完