A multi-agent scheduling system for just-in-time production

制度:新 ; 報告番号:甲3369号 ; 学位の種類:博士(工学) ; 授与年月日:2011/9/15 ; 早大学位記番号:新569

On the Equivalence of Optimality Design Criteria for the Placebo-Treatment Problem

We consider a class of optimality criteria and show that each crite- rion has its unique and equivalent dual within the class. This property can be used to find a variety of optimal designs, including a class of compound optimal designs and their relationships. As an example, we show that one type of D-optimal design provides analytical formula for a class of compound optimal designs, while its dual, the more traditional criterion, cannot. --Compound optimality,D-optimality,design efficiency,minimax optimality

Impacts of Competitive Uncertainty on Supply Chain Competence and Big Data Analytics Utilization: An Information Processing View

Research advancements in big data analytics have invoked tremendous attention from both academics and industries. Many researchers refer that the adoption and application of big data analytics could lead to performance impact to organizations, and therefore further affect organizational adoption intention of this technology. However, few studies discuss the association between business strategy and big data analytics adoption under uncertainty such as pandemics or disasters. Furthermore, the role of firms’ functional activities such as supply chain operations has seldom been addressed in the adoption considerations of big data analytics under abnormal situations. In this research, empirical data from enterprises were collected and analyzed to assess the impact of competitive strategy uncertainty on big data analytics adoption and the possible effect of supply chain competence in the linkage. The results supported positive effects of strategy practices and supply chain competence on big data analytics utilization. The implications for management decisions are then elaborated

Internet of Things Utilization in Marketing for Competitive Advantage: An Organizational Capability Perspective

Innovative developments in the Internet of Things (IoT) have invoked tremendous attention from both academics and industries. Studies suggest that IoT not only serves as an innovative tool for enterprise operations but also triggers impacts on business performance. As researchers increasingly raise interest about IoT and its applications in marketing and competitive strategy, this study examines its direct and indirect managerial effects by investigating the link between IoT, marketing, and competitive strategy performance. From the organizational capability perspective, this study constructed a research framework in which marketing intelligence capability mediates the effect of IoT capability on business strategy performance. This research conducted an empirical survey and analyzed the data to test the hypotheses in the research framework. The results confirmed the partial mediating effect of marketing intelligence capability in the link between IoT capability and business strategy performance. The paper then discussed the test results and elaborated on the managerial implications