E-business has made organizations even more reliant on the application of IT. The dependence on new technologies, have increased exposure of businesses to technology-originated threats and have created new requirements for governance. Previous IT governance frameworks, such as those provided by ISO and the IT Governance Institute, Standards Australia, have not given the connection between IT governance and e-business sufficient attention. This paper presents a holistic governance framework for e-business success by integrating IT governance framework with critical success factors (CSFs) of e-business. The framework provided a structured and holistic approach to direct, evaluate and monitor e-business projects and operations.
{"title":"A Holistic Governance Framework for e-Business Success","authors":"Xiaowen Liu, Lihua Wu, Jin Yu, Xiaochun Lei","doi":"10.1109/ICMECG.2010.36","DOIUrl":"https://doi.org/10.1109/ICMECG.2010.36","url":null,"abstract":"E-business has made organizations even more reliant on the application of IT. The dependence on new technologies, have increased exposure of businesses to technology-originated threats and have created new requirements for governance. Previous IT governance frameworks, such as those provided by ISO and the IT Governance Institute, Standards Australia, have not given the connection between IT governance and e-business sufficient attention. This paper presents a holistic governance framework for e-business success by integrating IT governance framework with critical success factors (CSFs) of e-business. The framework provided a structured and holistic approach to direct, evaluate and monitor e-business projects and operations.","PeriodicalId":129936,"journal":{"name":"2010 International Conference on Management of e-Commerce and e-Government","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133937822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Because user’s feedback is help to build trust in online transaction, we develop a function about the buyer’s bidding, and describe the risk under the feedback mechanism. Then, we analyze the double effects on the buyers and sellers′ behavior chosen. After that, we use MATLAB to design a program of Monte-Carlo sampling method to simulate the actual online business. The experimental results show that the efficient feedback mechanism will have a positive impact on the behavior of sellers and buyers. The results will help E-marketplace to implement its feedback mechanism.
{"title":"Modeling Feedback Mechanism for E-Marketplace","authors":"Wensheng Yang, Li Li","doi":"10.1109/ICMECG.2010.37","DOIUrl":"https://doi.org/10.1109/ICMECG.2010.37","url":null,"abstract":"Because user’s feedback is help to build trust in online transaction, we develop a function about the buyer’s bidding, and describe the risk under the feedback mechanism. Then, we analyze the double effects on the buyers and sellers′ behavior chosen. After that, we use MATLAB to design a program of Monte-Carlo sampling method to simulate the actual online business. The experimental results show that the efficient feedback mechanism will have a positive impact on the behavior of sellers and buyers. The results will help E-marketplace to implement its feedback mechanism.","PeriodicalId":129936,"journal":{"name":"2010 International Conference on Management of e-Commerce and e-Government","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125942080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to investigate the global financial crisis’s impact on logistics industry quantitatively, this paper selects 10 logistics listed companies respectively from China and US stock market as samples, calculates the default distances of the companies based on KMV model which is first proposed by US KMV company, analyzes the trend of credit risk change from the third quarter of 2008 to the third quarter of 2009. The results show the financial crisis has a severe impact on the credit risk of logistics companies and KMV model is an effective tool for measuring the credit risk of logistics companies. Furthermore, on average, the trend of credit risk of logistics companies does not coincide with the Gross Domestic Product’s respond to the financial crisis in time completely. The trend of credit risk during the crisis between China and US are not quite the same, and appetites of the two nation’s companies are also different. Finally, authors propose some suggestions about how to manage credit risk and how to respond to the financial crisis for logistics companies and other investors.
{"title":"Global Financial Crisis's Impact on the Credit Risk of Logistics Companies: Comparative Analysis between China and US with KMV Model","authors":"Shengzhong Zhang, Qian Li, Dan Wang","doi":"10.1109/ICMECG.2010.31","DOIUrl":"https://doi.org/10.1109/ICMECG.2010.31","url":null,"abstract":"In order to investigate the global financial crisis’s impact on logistics industry quantitatively, this paper selects 10 logistics listed companies respectively from China and US stock market as samples, calculates the default distances of the companies based on KMV model which is first proposed by US KMV company, analyzes the trend of credit risk change from the third quarter of 2008 to the third quarter of 2009. The results show the financial crisis has a severe impact on the credit risk of logistics companies and KMV model is an effective tool for measuring the credit risk of logistics companies. Furthermore, on average, the trend of credit risk of logistics companies does not coincide with the Gross Domestic Product’s respond to the financial crisis in time completely. The trend of credit risk during the crisis between China and US are not quite the same, and appetites of the two nation’s companies are also different. Finally, authors propose some suggestions about how to manage credit risk and how to respond to the financial crisis for logistics companies and other investors.","PeriodicalId":129936,"journal":{"name":"2010 International Conference on Management of e-Commerce and e-Government","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124330522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Digital Preservation for E-heritage is one of the most important embranchment in the area of digital longevity in term of archival or heritage preservation. Currently, most digital preservation methodologies or principles are stands on the point of theory stage, seldom are taken into practice(almost practical ones were governmental supported at national level). For the goal of majority of archives institutions, a practical project was achieved at small scale extend within this paper. The archival criteria (EVACC mode, EAD metadata for collection appraisal and description) and technological implementation (software and Huffman algorithm for final product and search function), integrated as a comprehensive solution, was applied and experimented. Thus, it went through the whole procedure of which is significant for current and future study.
{"title":"Case Study of Digital Preservation for E-heritage: Digital Preservation Project for the Collection of Penhas Family","authors":"F. Yu","doi":"10.1109/ICMECG.2010.23","DOIUrl":"https://doi.org/10.1109/ICMECG.2010.23","url":null,"abstract":"Digital Preservation for E-heritage is one of the most important embranchment in the area of digital longevity in term of archival or heritage preservation. Currently, most digital preservation methodologies or principles are stands on the point of theory stage, seldom are taken into practice(almost practical ones were governmental supported at national level). For the goal of majority of archives institutions, a practical project was achieved at small scale extend within this paper. The archival criteria (EVACC mode, EAD metadata for collection appraisal and description) and technological implementation (software and Huffman algorithm for final product and search function), integrated as a comprehensive solution, was applied and experimented. Thus, it went through the whole procedure of which is significant for current and future study.","PeriodicalId":129936,"journal":{"name":"2010 International Conference on Management of e-Commerce and e-Government","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129918132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Knowledge transfer has become a hot issue for knowledge management. Nevertheless the application of heterogeneous network model to the analysis of the internal processes of intra-organization knowledge transfer is still rare. In this paper, we propose a super network model of intra-organizational knowledge transfer. The model is composite of a social network and a knowledge network. It consists of individual nodes, knowledge nodes, and the directed or undirected edges among them, which represent the organization members, the organization knowledge and their complex relationship respectively. The results of model simulation on the Net logo platform show that the higher the average degree of nodes is in the knowledge transfer network, the more innovation is created by the organization. Moreover, the results demonstrate that the knowledge of network achieve a specific equilibrium more quickly if the number of initial transfer nodes is higher. The proposed super network model provides a novel thinking and method for further in-depth study of intra-organizational knowledge transfer.
{"title":"Supernetwork Model of Intra-organizational Knowledge Transfer","authors":"Hong Zou, Shenghua Xu","doi":"10.1109/ICMECG.2010.17","DOIUrl":"https://doi.org/10.1109/ICMECG.2010.17","url":null,"abstract":"Knowledge transfer has become a hot issue for knowledge management. Nevertheless the application of heterogeneous network model to the analysis of the internal processes of intra-organization knowledge transfer is still rare. In this paper, we propose a super network model of intra-organizational knowledge transfer. The model is composite of a social network and a knowledge network. It consists of individual nodes, knowledge nodes, and the directed or undirected edges among them, which represent the organization members, the organization knowledge and their complex relationship respectively. The results of model simulation on the Net logo platform show that the higher the average degree of nodes is in the knowledge transfer network, the more innovation is created by the organization. Moreover, the results demonstrate that the knowledge of network achieve a specific equilibrium more quickly if the number of initial transfer nodes is higher. The proposed super network model provides a novel thinking and method for further in-depth study of intra-organizational knowledge transfer.","PeriodicalId":129936,"journal":{"name":"2010 International Conference on Management of e-Commerce and e-Government","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131143416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. Asghari, A. Amidian, Jafar Muhammadi, H. Rabiee
Considering the significant growth in mobile phone use by customers and its high accessibility, this device can be considered as the most suitable tool in payment category. To implement a mobile payment service, there are many actors involved such as: bank, operator and service provider. As an effective interaction role and in order to optimize efficient parameters for implementing a mobile payment solution, it is necessary to present a suitable business model. Therefore, five different business models have been surveyed in the field of mobile payment in this research; then they were compared with MCDM evaluation method applications. Since one of the most effective parameter to select an appropriate business model is the banks / operators’ structure of every country, the proposed business model in this paper is localized based on Iranian banks / operators’ framework. The results of MCDM method indicate that the collaboration model is the most suitable mobile payment business model in Iran.
{"title":"A Fuzzy ELECTRE Approach for Evaluating Mobile Payment Business Models","authors":"F. Asghari, A. Amidian, Jafar Muhammadi, H. Rabiee","doi":"10.1109/ICMECG.2010.78","DOIUrl":"https://doi.org/10.1109/ICMECG.2010.78","url":null,"abstract":"Considering the significant growth in mobile phone use by customers and its high accessibility, this device can be considered as the most suitable tool in payment category. To implement a mobile payment service, there are many actors involved such as: bank, operator and service provider. As an effective interaction role and in order to optimize efficient parameters for implementing a mobile payment solution, it is necessary to present a suitable business model. Therefore, five different business models have been surveyed in the field of mobile payment in this research; then they were compared with MCDM evaluation method applications. Since one of the most effective parameter to select an appropriate business model is the banks / operators’ structure of every country, the proposed business model in this paper is localized based on Iranian banks / operators’ framework. The results of MCDM method indicate that the collaboration model is the most suitable mobile payment business model in Iran.","PeriodicalId":129936,"journal":{"name":"2010 International Conference on Management of e-Commerce and e-Government","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123240607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Impulse buying represents consumers’ basic psychological trait and habit. Online buying impulsiveness is the tendency of consumers’ reaction toward stimuli in the Internet environment. In the Internet environment, Word-of-Mouth online is one stimuli from which consumers have an alternative to obtain opinion leaders’ information and advice on the products. Previously, some studies have demonstrated that there is impulse buying in the Internet environment, and some other studies have demonstrated that Word-of-Mouth online is the most important influential source on consumers’ purchasing decisions. However, neither theoretical research nor imperial study has revealed the relationships between online buying impulsiveness and Word-of-Mouth online. This paper focuses on online buying impulsiveness and Word-of-Mouth online. The paper investigates the characteristics of Word-of-Mouth online, and proposes a theoretical model on the relationships between online buying impulsiveness and Word-of-Mouth online via the length of time on web browsing. The finding of the paper converts novel and important messages to managers and scholars by showing the value of exploratory study as well as empirical study on Word-of-Mouth online and its consequences on online buying impulsiveness.
{"title":"Online Buying Impulsiveness and Word-of-Mouth Online in the E-Marketing Age: A Theoretical Model Approach","authors":"Zeng Kaisheng","doi":"10.1109/ICMECG.2010.34","DOIUrl":"https://doi.org/10.1109/ICMECG.2010.34","url":null,"abstract":"Impulse buying represents consumers’ basic psychological trait and habit. Online buying impulsiveness is the tendency of consumers’ reaction toward stimuli in the Internet environment. In the Internet environment, Word-of-Mouth online is one stimuli from which consumers have an alternative to obtain opinion leaders’ information and advice on the products. Previously, some studies have demonstrated that there is impulse buying in the Internet environment, and some other studies have demonstrated that Word-of-Mouth online is the most important influential source on consumers’ purchasing decisions. However, neither theoretical research nor imperial study has revealed the relationships between online buying impulsiveness and Word-of-Mouth online. This paper focuses on online buying impulsiveness and Word-of-Mouth online. The paper investigates the characteristics of Word-of-Mouth online, and proposes a theoretical model on the relationships between online buying impulsiveness and Word-of-Mouth online via the length of time on web browsing. The finding of the paper converts novel and important messages to managers and scholars by showing the value of exploratory study as well as empirical study on Word-of-Mouth online and its consequences on online buying impulsiveness.","PeriodicalId":129936,"journal":{"name":"2010 International Conference on Management of e-Commerce and e-Government","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130619171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Individual credit risk evaluation is an important and challenging data mining problem in financial analysis domain. This paper compares the effectiveness of four data mining algorithms - logistic regression (LR), decision tree (C4.5), support vector machine (SVM) and neural networks (NN) by applying them to two credit data sets. Experiment results show that the LR and SVM algorithms produced the best classification accuracy, and the SVM shows the higher robustness and generalization ability compared to the other algorithms. On the contrary, the neural networks algorithm performed poor relatively on the two credit data sets in our experiments. The computer simulation shows the C4.5 algorithm is sensitive to input data, and the classification accuracy is unstable, but it has the better explanatory.
{"title":"A Comparative Study on Data Mining Algorithms for Individual Credit Risk Evaluation","authors":"Hong Yu, Xiaolei Huang, Xiaorong Hu, Hengwen Cai","doi":"10.1109/ICMECG.2010.16","DOIUrl":"https://doi.org/10.1109/ICMECG.2010.16","url":null,"abstract":"Individual credit risk evaluation is an important and challenging data mining problem in financial analysis domain. This paper compares the effectiveness of four data mining algorithms - logistic regression (LR), decision tree (C4.5), support vector machine (SVM) and neural networks (NN) by applying them to two credit data sets. Experiment results show that the LR and SVM algorithms produced the best classification accuracy, and the SVM shows the higher robustness and generalization ability compared to the other algorithms. On the contrary, the neural networks algorithm performed poor relatively on the two credit data sets in our experiments. The computer simulation shows the C4.5 algorithm is sensitive to input data, and the classification accuracy is unstable, but it has the better explanatory.","PeriodicalId":129936,"journal":{"name":"2010 International Conference on Management of e-Commerce and e-Government","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114604362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study reports several surprising findings and new insights about the effect of online product reviews on the sales of new products. Analyses of panel data of 332 new products from Amazon.com indicate that negative reviews affect new product sales more than positive reviews, but also in a positive way. Different from the proposition of the diffusion model, e-WOM has a strong effect on new product sales early on and such effect decreases over time. Moreover, the volume of page views by followers is far more influential than that of reviews by opinion leaders, especially in the early period of product lifecycle, suggesting a significant cascade effect. The effects of page views and valence of online reviews are stronger than that of volume, more so for search products than for experience products. Thus, marketers need to consider the distinctive influences of various aspects of online reviews when launching new products and devising e-marketing strategies.
{"title":"Online Reviews as a Driver of New Product Sales","authors":"G. Cui, H. Lui, Xiaoning Guo","doi":"10.1109/ICMECG.2010.13","DOIUrl":"https://doi.org/10.1109/ICMECG.2010.13","url":null,"abstract":"This study reports several surprising findings and new insights about the effect of online product reviews on the sales of new products. Analyses of panel data of 332 new products from Amazon.com indicate that negative reviews affect new product sales more than positive reviews, but also in a positive way. Different from the proposition of the diffusion model, e-WOM has a strong effect on new product sales early on and such effect decreases over time. Moreover, the volume of page views by followers is far more influential than that of reviews by opinion leaders, especially in the early period of product lifecycle, suggesting a significant cascade effect. The effects of page views and valence of online reviews are stronger than that of volume, more so for search products than for experience products. Thus, marketers need to consider the distinctive influences of various aspects of online reviews when launching new products and devising e-marketing strategies.","PeriodicalId":129936,"journal":{"name":"2010 International Conference on Management of e-Commerce and e-Government","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122134670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the commodity market, the discrete phenomenon of the commodities’ market prices widely exists since kinds of reasons. Thus, the research for the discrete analysis of commodities’ prices is positively significant in the both academic and practical sides. This article aims to improve the B2C online shopping market for our county’s household appliances industry by investigating in the prices’ discrete phenomenon of the market. Finally, it generally presents that the prices’ discrete degree for the whole market is a little higher comparing with the normal category, whereas that for the large ones is the lowest in the household appliances categories.
{"title":"The Price Discrete Analysis of B2C Online Shopping Market for Chinese Household Appliances Industry","authors":"Dongyu Zhang","doi":"10.1109/ICMECG.2010.42","DOIUrl":"https://doi.org/10.1109/ICMECG.2010.42","url":null,"abstract":"In the commodity market, the discrete phenomenon of the commodities’ market prices widely exists since kinds of reasons. Thus, the research for the discrete analysis of commodities’ prices is positively significant in the both academic and practical sides. This article aims to improve the B2C online shopping market for our county’s household appliances industry by investigating in the prices’ discrete phenomenon of the market. Finally, it generally presents that the prices’ discrete degree for the whole market is a little higher comparing with the normal category, whereas that for the large ones is the lowest in the household appliances categories.","PeriodicalId":129936,"journal":{"name":"2010 International Conference on Management of e-Commerce and e-Government","volume":"9 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116812694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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