11Purpose This study aims to empirically investigate the effects of institutional support 12 13 on product and process innovation and firm performance and describe how 14 15 dysfunctional competition influences relevant outcomes. data collected from 300 manufacturers in China. 22Findings The results show that institutional support positively affects product and

This study examines how the impact of product modularity on the mass customization capability is moderated by several contextual factors, such as the firms' information system capacity (ISC), teamwork (TW), multifunctional employees (MFE), and organizational structure (flat or hierarchical) (OSF). Data from 238 firms located in multiple countries across three different industry groups were analyzed to test the moderated regression models and the hypotheses. The results showed that the product modularity strongly impacts the mass customization capability (MCC). Compared to ISC, the social contextual variables, such as TW, MFE, and OSF, have stronger moderating effects on the impact of the product modularity on the mass customization capability. In addition, ISC helps MCC solely for firms with flat organizational structures. Overall, our study suggests that manufacturers who desire to become mass customizers should create flat, nimble organizations with employees who are trained in several different tasks and are adept at teamwork.

Reducing language model (LM) size is a critical issue when applying a LM to realistic applications which have memory constraints. In this paper, three measures are studied for the purpose of LM pruning. They are probability, rank, and entropy. We evaluated the performance of the three pruning criteria in a real application of Chinese text input in terms of character error rate (CER). We first present an empirical comparison, showing that rank performs the best in most cases. We also show that the high-performance of rank lies in its strong correlation with error rate. We then present a novel method of combining two criteria in model pruning. Experimental results show that the combined criterion consistently leads to smaller models than the models pruned using either of the criteria separately, at the same CER.

During the last two decades or so, modern societies have experienced an increasing public awarenw of environmental issues and concern for the long lasting effects that human polluting activities may have on the environment. Under this condition, people begin to focus on the research on mathematical modeling approaches to aid in analyzing hazardous materials (HAZMAT) logistics decisions. Vast literature has been devoted to this field, but people used to neglect the real situation of logistics distribution network. This disadvantage limited the application of these researches. In this paper, we focus on the risk bottleneck of logistics network and do some research on HAZMAT logistics system. First, we analyze cost minimization, potential risk minimization and risk equity maximization these three main objectives and give assumptions and notations used in this paper, and then present a multi-objective approach to assist decision makers in analyzing combined locationlrouting decisions involving HAZMAT. After that, a heuristic algorithm i s proposed and at the end of this paper we give a numerical example.