Jiayin Qi

Review of relationships among variables in TAM

The technology acceptance model (TAM) is an important tool in information technology research. Many scholars have applied the classical TAM to various research domains. However, the relationships between variables in these TAM models are not strongly desired. Thirty-four articles selected from international journals were analyzed to show that most of the relationships in the classical TAM are significant, but the stabilities of these relationships differ. The significant positive relationships between perceived ease of use and its independent variables are more stable than the others. Various factors can strengthen or weaken these relationships.

ADTreesLogit model for customer churn prediction

In this paper, we propose ADTreesLogit, a model that integrates the advantage of ADTrees model and the logistic regression model, to improve the predictive accuracy and interpretability of existing churn prediction models. We show that the overall predictive accuracy of ADTreesLogit model compares favorably with that of TreeNet®, a model which won the Gold Prize in the 2003 mobile customer churn prediction modeling contest (The Duke/NCR Teradata Churn Modeling Tournament). In fact, ADTreesLogit has better predictive accuracy than TreeNet® on two important observation points.

Artificial intelligence applications in the telecommunications industry

Abstract: Artificial intelligence (AI) has been applied to the telecommunications industry for more than a decade. The purpose of this paper is to examine the application of AI in the telecommunications industry sector. Our research finds that AIs first main application in telecommunications is in the network management area. Expert systems and machine learning are the two AI techniques that have been widely used in telecommunications, while machine learning and distributed artificial intelligence are the two AI techniques which are most promising for the future. The research also finds that different AI techniques have their unique applications in the telecommunications industry.

Study on Purchase Probability Model in CRM Systems

Representative customer’s purchase probability is the basis to analyze the purchase behavior of always-a-share customer’s segment. Currently, analyzing the representative customer’s purchase probability with the Dwyer model is quite complicated. Using uncertain reasoning, a backtracking Dwyer model and its algorithm are presented in this paper, which solves this problem in a more effective way. The work of this paper is helpful to design analytical CRM systems.

A Study on Customer Satisfaction in Mobile Telecommunication Market by Using SEM and System Dynamic Method

In this article, a new method is presented to research the mechanism of Customer Satisfaction (CS). Firstly, the research model of CS based on the TAM and ACSI is built. Secondly, some important correlation coefficients of research model can be got from the SEM method. Thirdly, with these correlation coefficients, the main functions of system dynamic model are built, and the evolution of the system is simluated with the help of VENSIM. At last, one simple example is designed by using the method and some meaningful conclusions are provided.

A Review on the Relationship Between New Variables and Classical TAM Structure

Integration of different theories and expansion of research areas are the main trends in the research domain of IS adoption. Classical TAM structure has been largely expended by newly added variables. Prior studies [1] have analyzed relationships among variables in TAM and found the stability of classical structure, but what about relationships between new variables and classical structure? We selected 30 articles from the main international journals for analyses. It is found that, SE, SN and PBC are used mostly in extended TAM. The relations between SE, PBC and TAM are consistently significant, but the integration of SN into TAM is not so ideal. In our review scale, this relation is inconsistent. Other variables and relations are also discussed in this article. The conclusions of this article will provide guidance for future researches about extended TAM model building.

An Empirical Research of SMC Models and Their Application to CRM

SMC models are a group of models to forecast customers buying behaviors provided in 1987. If SMC models are proved to be true, they are very valuable to design analytical CRM (customer relationship management) systems. Choosing IT distribution market industry as background, an empirical research is done in this paper. We selected 331 customers to test SMC models. The conclusion is that SMC models do work in IT distribution market industry. They have a relative high prediction precision. The application of SMC models in CRM and the revising advice for SMC is also put forward

A New Method to Determine Purchase Probability of Representative Customer

Representative customers purchase probability is the base to analyze the purchase behavior of always-a-share customer. Using Dwyer model, the representative customers purchase probability is solved complexly. Using uncertain reasoning, a back-tracking Dwyer model and its algorithm are presented in this paper, which solve the problem more effectively

System Dynamics Report of Telecom Industry in China

This article analyzes mobile carriers’ competition strategies by using balanced scorecard and system dynamics. We use four indexes to evaluate the situations of 2 main Chinese telecom carriers like Internal Business Index, Financial index, Market & Customer Index, as well as Innovation and Learning index. According to these four indexes and system methodology, a system dynamics model is provided, which has 4 subsystems and 80 variables. Taking the government influences into consideration as well as companies’ strategies and the corresponding system simulations, we try to use system dynamics as a new enterprise computing analyzing method and give competition suggestions to the two mobile carriers.

An Empirical Research on SMC in an Extended Enterprise Environment

There are few empirical researches and applications of SMC models for shortage of customer data and their complexity. Choosing IT distribution market industry as background, an empirical research is done in this paper. The conclusion is that SMC models do work in IT distribution market industry. They have relatively high prediction accuracy. Also, the revise advice for SMC is put forward to meet different types of customer behaviors.