Earticle

The purpose of this research is to identify the difference through a comparative analysis of each CRM channel. Comparative analysis among CRM in 6 different aspect(concepts, characteristics, data, customers, strategies, and effects), eCRM and mCRM were conducted in this study. In addition, we conducted a case study of SKTelecom in this study. The analysis results present the new idea that eCRM and mCRM are the essential keys for the customer relationship strategies unlike conventional ones supported by researchers in academics or related industries. It is expected that firms will be able to maximize CRM performance by utilizing the results of the characteristics and comparative analysis of CRM, eCRM and mCRM presented in this study.

Recently the automotive internal network is using for various purposes such as control of a vehicle, diagnostics and ECU program upgrade. CAN and FlexRay are the most representative networks. Automotive ethernet and CAN FD are being actively studied as next-generation networks. In this paper, we evaluated the performance of CAN, CAN FD, FlexRay and Automotive Ethernet networks in terms of ECU upgrade program. Through the simulation result, we found that Automotive Ethernet was the most suitable next-generation network in terms of price and performance.

The survival of enterprise is getting more difficult to maintain due to various business environmental changes, such as the emergence of smarter customers, deepened competitions, and business/industry convergences. Moreover, newly emerging services and products have replaced existing markets or even formed new markets. This study examined strategic approaches for new business development and structural design methods for value enlargement and sustained growth of enterprises.

The this study is to classify the hour proxy of abnormal audit hour and abnormal audit fee as negative(-) and positive(+) aspects, and studied the correlation between each sample and the distribution of each samples according to the earings management level of real earnings management and accrual earnings management. As a result, the distributions of AC, AFEE and AHOUR were all appeared evenly. The researchers showed different results depending on which of AFEE and AHOUR variables to choose. In the accrual earnings management (AD1), the distribution of AFEE and AHOUR was not statistically different. There was no difference between AFEE and AHOUR in the analysis including accrual earnings management ROA. In real earnings management, the difference between AC and AM was similar. In the AHOUR of real earnings management, the results of AC showed different results depending on the negative(-) and positive(+) aspects depending on high and low than normal of abnormal audit hours.

This paper is about the development of a mobile browser based on user location to browse the location based Linked Open Data. Our browser is based on the current location of the user, the data of DBpedia, and the type of Linked Open Data. This browser provides a function to search the surrounding DBpedia objects and to check that information, and provides a function to search other Linked Open Data through a link. Linked Open Data can be used as a way to utilize Big Data, which is of increasing importance today, to share information on the Web, link it with other information, and reuse it. Our DBpedia can be used as a starting point for exploring Linked Open Data. DBpedia has information on various fields and various entities, including datasets related to places. In this study, we developed a browser to display information about the surrounding objects on the map using the location information service of the smartphone, and to search information about the object and additional semantic information.