College of Management and Economics

About: College of Management and Economics is a based out in . It is known for research contribution in the topics: Supply chain & Stock market. The organization has 2184 authors who have published 2193 publications receiving 28830 citations.

Network of listed companies based on common shareholders and the prediction of market volatility

Abstract: In this paper, we build a network of listed companies in the Chinese stock market based on common shareholding data from 2003 to 2013. We analyze the evolution of topological characteristics of the network (e.g., average degree, diameter, average path length and clustering coefficient) with respect to the time sequence. Additionally, we consider the economic implications of topological characteristic changes on market volatility and use them to make future predictions. Our study finds that the network diameter significantly predicts volatility. After adding control variables used in traditional financial studies (volume, turnover and previous volatility), network topology still significantly influences volatility and improves the predictive ability of the model.

A novel probabilistic graphic model to detect product defects from social media data

Abstract: Product defects are a major concern for manufacturers and customers. Detecting product defects is vital for manufacturers to prevent enormous product failure costs. As the surge of social media is in vogue, social media data become an important information source for manufacturers to collect defect information. In this study, we propose a novel probabilistic graphic model to discover defects from social media data. We first use three filters, namely, sentiment filter, component-symptom filter and similarity filter, to select informative data. Second, we analyze the remaining data via the proposed probabilistic graphic model and identify defect-related data. Our method provides detailed defect information including defect types, defective components and defect symptoms which is omitted by previous research. A case study in the automobile industry validates the effectiveness and superior performance of our method compared to prior approaches.

Iterative product design through group opinion evolution

Abstract: More and more industrial products have begun to adopt iterative design modes. Opinions collected from all sides in each round of iterations are used as bases to make products that are able to capture the changes of customer demand dynamically and to respond to these changes in a timely manner. In this context, it becomes important for product designers and manufacturers to study the evolution of opinions as well as the product scheme along with design iteration to determine its regularity. This paper integrates the Hegselmann–Krause model into product improvement process, and develops a dynamic model from the view of opinion dynamics. The dynamic model simultaneously converges the evolution of customers’ opinions, professional designers’ opinions and the product scheme. The paper also analyses the interaction mechanism among different opinions as well as the mechanism between opinions and the product scheme. The experimental results determine that the product scheme, customers’ opinions and professional d...