Wei Zong

Xidian University · School of Economics and Management

Poor Data Quality (DQ) is amajor culprit in the failure of ERP implantation. Previous DQ solutions focus more on technical approaches, ignoring the importance of seeking the root causes. Therefore, this paper proposes aprocess-driven DQ monitoring framework by Information Product Map (IPMAP). First, IPMAP is applied to visualizethe manufacturing pr...

Purpose This study developed and empirically tested a conceptual framework to analyze how inter-organizational knowledge sharing facilitate ERP implementation. Design/methodology/approach Data were collected from a 2014 survey to 283 Chinese companies. Structural Equation Modelling was used to test the structural model of the framework. Finding...

In order to maximize the value of an organization's data assets, it is important to keep data in its databases up-to-date. In the era of big data, however, constantly changing data sources make it a challenging task to assure data timeliness in enterprise systems. For instance, due to the high frequency of purchase transactions, purchase data store...

In the age of big data, it is a challenging task for ERP systems to maintain data timeliness over changing data sources. Purchase data is an important dynamic data and its timeliness directly affects the accuracy of inventory data and purchase plans. According to the characteristics of Markov decision process, we design a dynamic programming algori...

The reliable and efficient last three mile of delivery results in enormous challenges for city logistics. In recent years, the combination of telematics based big data collection and O2O e-commerce has built the ground for time-dependent vehicle routing, which becomes extremely important in the home delivery applications. This paper proposes a logi...

The quality of master data is crucial for the accurate functioning of the various modules of an enterprise resource planning (ERP) system. This study addresses specific data problems arising from the generation of approximately duplicate material records in ERP databases. Such problems are mainly due to the firm’s lack of unique and global identifi...

Text categorization is an important and critical task in the current era of high volume data storage and handling. Feature selection is obviously one of the most important steps in text categorization. Traditional feature selection methods tend to only consider the correlation between features and categories, and have in the main ignored the semant...

Successful implementation of ERP systems is greatly depended on the quality of data. As the important master data, material information plays a critical role in ERP operation. However, because of lacking the unique and global identifiers, duplicated material data is very pervasive and severely impacts the performance of ERP. Traditional record dedu...

With the rapid development of information technology, data quality has become a key factor in successfully operating and implementing ERP system. The problem of how to improve and enhance data quality in ERP has become an important research direction. However, because of the hugeness and complexity of ERP, this paper focuses on production managemen...