Mobile E-business Research Articles

How Does Queueing Information in Pre-Sales Call Centers Affect Customer Repurchase Behavior

With the growth of mobile e-business, it has become common for customers to experience an explosion of instant desire to consume in a short period of time. Companies are harnessing this momentum, hoping to better capture, retain and convert these consumer desires into actual sales orders. Consequently, companies also need to use pre-sales call centers to provide the satisfied service and motivate more customers to repurchase, thereby increasing the revenue. The function of the call centers is updated from providing post-sales service to providing pre-sales consultation. In this regard, this paper examines the impact of delayed announcements consisting of queue information on customer repurchase behavior in pre-sales call centers. We classify the queuing information into no-information, part-information and full-information according to the level of information by constructing a simulation model. In the simulation experiments, some application scenarios are set up to describe the load of the call center. In all the given scenarios, we find out the full-information, which provides the delay time, is always the best. Moreover, the different methods for estimating the delay time to provide the full-information, namely LES, EA, EA2 and WA–LES, are compared. We find optimal announcements for the application scenarios set out in the time-varying scenario as well. Consequently, considering there exists certain cost for the company to make WA–LES announcements, while some call centers can only provide part-information instead, this paper investigates the impact of estimate bias on customer repurchase behavior and company revenue. Subsequently, the company revenue is further investigated in two extended experiments, where repurchase influence power and repurchase number are limited. The analysis ideas and simulation logic of this paper have good reference significance for e-commerce pre-sales call centers, and the suggestions for setting information levels in practice while considering customer repurchase behavior are also clearly given in the conclusion of the paper.

Dynamic Interaction and Visualization Design of Database Information Based on Artificial Intelligence

With the explosive growth of data, people's demand for data analysis has become more intense. Although modern technology can collect a large amount of data, the collected original data is often useless and contains little information. How to extract useful information from massive amounts of data has become an urgent problem. Driven by artificial intelligence (AI) technology and personalized consumption demand of users, this article puts forward a dynamic interactive and visualization algorithm of e-business database information based on an improved collaborative filtering (CF) algorithm to help enterprises more efficiently mine the required potential customer groups from massive customer data and log data. Experiment results prove the effectiveness of the model and algorithm. Data mining (DM) technology is applied to the user access control model in this model. First, the maximum forward reference sequence of mobile e-business groups is mined by data technology. Then a user access control model is established according to this sequence to control user access so enterprises can formulate reasonable marketing strategies based on this knowledge.

Design of Flow Big Data System Based on Smart Pipeline Theory

As telecom operators to build intelligent pipe more and more, analysis and processing of big data technology to deal the huge amounts of data intelligent pipeline generated has become an inevitable trend. Intelligent pipe describes operational data, sales data; operator’s pipe flow data make the value for e-commerce business form and business model in mobile e-business environment. Intelligent pipe is the third dimension of 3 D pipeline mobile electronic commerce system. Intelligent operation dimensions make the mobile e-business three-dimensional artifacts. This paper discusses the smart pipeline theory, smart pipeline flow big data system, their system framework and core technology.

The Study of Influencing Factors of Mobile E-commerce Software Use Intention-based on TAM and TRA

With the wide popularity of mobile devices, e-commerce software in the mobile client forms a larger consumer market, which makes the volume of e-commerce transactions having a wide range of growth. As the consumers have a frequent contact with mobile devices, which makes consumers pay more attention to security and entertainment of the e-commerce software. Past mobile e-business research typically focus on the related factors about transaction process, like interface design, services and user experience, but seldom study the factors about consumers. On the basis of the TAM, this paper not only added perceived security and perceived entertainment, but also the consumers’ personality factors like subjective norm in TRA, into the model. The study shows that PU, PEU, PS and PE all will have direct or indirect effects on use attitude and use intention, and subjective norms and use attitude will directly affect the consumers' use intention. Through the empirical analysis we found that e-commerce operators not only make the consumers experience more of usefulness and ease of use, security, and entertainment in the technology and services, but also improve the popularity with the aid of the mainstream media propaganda and star power to enhance the public's normative beliefs, which will ultimately affect the user behavior of the consumers.

Research on Mobile E-business Security Model based on WPKI Technology and its Application

Information has become the important and strategic resource, and social informatization has become the developing trend and core. The information safety will play an extremely important role in the information society. It is directly related to the national security, business and the normal life. Wireless Public Key Infrastrcture(WPKI) is a technology of wireless networks security, which is applied to transform the EBusiness and the Internet for shopping, banking and transacting with one another in anywhere at anytime by using the wireless devices of mobile phone, PDA, IPAD and so on. Wireless application protocol (WAP) can ensure the secure e-business services and wireless applications. So the structure, principle, security infrastructure, application model and environment of WPKI are described in detail. Then the mobile E-business security model based on WPKI Technology is proposed in this paper. It will analyze and demonstrate how the WPKI technology can provide the security services to mobile Ebusiness with similar security requirements and provide the reader with a high level technical application of the WPKI technology. And a application system provided an excellent example for demonstrating the effectiveness, and the secrecy, identity authentication and non repudiation are studied and analyzed.

Investigation on Development of Mobile Communication Base on Computer

In this paper, mobile communication is discussed in detail. And the sketch map for mobile e-commerce industry is introduced. The results show that with the advent of the era of mobile Internet, mobile e-business is gradually stepping into lives, its influence is appearing. As a research and development of mobile e-commerce application, we must pay attention to the development of related technologies, and we must focus on the impact of the new technology for mobile electronic commerce.

WCS: The Adaptive Wireless Communication Strategy for Mobile Electronic Commerce

Mobile e-business, with a full use of its mobility, makes information exchange and commercial transaction anytime anywhere become possible. But in the transmission technology and terminal handling ability, there is a huge gap to the traditional e-commerce. According to the existing wireless network communication technology, this paper introduces a new communication control algorithm to the mobile e-commerce transmission control. This algorithm can adjust data sending time according to the user’s needs and the constant change in the wireless communication and channels status. In this way, it can reduce the number of redundant data and network energy consumption, and makes the fusion between network and technique under the time requirements become possible.

Wireless Communication Algorithm for Mobile Electronic Commerce

Mobile e-business, with a full use of its mobility, makes information exchange and commercial transaction anytime anywhere become possible. But in the transmission technology and terminal handling ability, there is a huge gap to the traditional e-commerce. According to the existing wireless network communication technology, this paper introduces a new communication control algorithm to the mobile e-commerce transmission control. This algorithm can adjust data sending time according to the user’s needs and the constant change in the wireless communication and channels status. In this way, it can reduce the number of redundant data and network energy consumption, and makes the fusion between network and technique under the time requirements become possible.

Intelligent ubiquitous computing and e-Business solution

Mobile computing requires reliable mobile computing technologies to support data management services for mobile e-Business. An intelligent architecture is engineered that enriches mobile computers with data management services (mobile database access, secure repositories, internet-related services, etc.) making it possible to use agent technology. To provide Mobile e-Services for mobile computing growth, the architecture combines an indirect interaction model and intelligent mobile agent technology. The indirect interaction model mobile computers will be relieved from rich processing by making use of intermediary element (GSM's GPRS) as agent-based gateway support node (AGSN) to increase their capabilities. Intelligent mobile agent technology will overcome the limitations and performance-related issues of mobile computing for solution optimization. They reduce the workload of mobile computers by representing them in the intermediary element as well as in other places. Major features and architecture of our proposed system are also presented.

Disconnected Processes, Mechanisms and Architecture for Mobile E-Business

With the tremendous advances in hand-held computing and communication capabilities, rapid proliferation of mobile devices, and decreasing device costs, we are seeing a growth in mobile e-business in various consumer and business markets. In this paper, we present a novel architecture and framework for end-to-end mobile e-business applications (e.g., point of sales). The architecture takes into consideration disconnection, application context, synchronization, transactions and failure recovery modes to provide mobile users with seamless and transparent access to business transactions and business-context specific data. In our architecture, we consider a novel business process design based on state-machines and event management to handle disconnection, resource limitations and failures. We designed, implemented and deployed a system for mobile e-business on clients (e.g., PDAs and PocketPCs) integrated with private exchanges and sell-side servers. The state-machine model with failure recovery mechanisms enables handling of one-to-many and many-to-one disconnections in large mobile e-business environments. The e-business framework on mobile clients is implemented based on J2ME, Webservices, and open XML standards. A detailed performance study of commerce transactions was done on different mobile client devices with diverse computing, memory and storage capabilities. We compare the performance of a purchasing application and the middleware on various devices such as PDAs and Laptops. We demonstrated that for small devices with limited capability the performance is reasonable. For devices with more computing capability, the response time is excellent.

On-Demand Data Broadcasting for Mobile Decision Making

The wide spread of mobile computing devices is transforming the newly emerged e-business world into a mobile e-business one, a world in which hand-held computers are the user's front-ends to access enterprise data. For good mobile decision making, users need to count on up-to-date, business-critical data. Such data are typically in the form of summarized information tailored to suit the user's analysis interests. In this paper, we are addressing the issue of time and energy efficient delivery of summary tables to mobile users with hand-held computers equipped with OLAP (On-Line Analytical Processing) front-end tools. Towards this, we propose a new on-demand scheduling algorithm, called STOBS, that exploits the derivation semantics among OLAP summary tables. It maximizes the aggregated data sharing between mobile users and reduces the broadcast length for satisfying a set of requests compared to the already existing techniques. The algorithm effectiveness with respect to access time and energy consumption is evaluated using simulation.