An important part of the Enterprise Resource Planning (ERP) system implementation process is the decision, which modules are implemented and in which order. We posit that the decision of the module sequencing involves a myriad of issues, such as, investment costs and risks, key business requirements and solution constraints. We develop and test an ANP (Analytic Network Process) model to support the sequencing decision. Through the ANP analysis a preferred module implementation sequence is achieved in the case company. Moreover, the practical applicability of the method is discussed in the paper.
{"title":"Supporting the Module Sequencing Decision in the ERP Implementation Process","authors":"P. Hallikainen, Harri Kimpimäki, H. Kivijärvi","doi":"10.1109/HICSS.2006.444","DOIUrl":"https://doi.org/10.1109/HICSS.2006.444","url":null,"abstract":"An important part of the Enterprise Resource Planning (ERP) system implementation process is the decision, which modules are implemented and in which order. We posit that the decision of the module sequencing involves a myriad of issues, such as, investment costs and risks, key business requirements and solution constraints. We develop and test an ANP (Analytic Network Process) model to support the sequencing decision. Through the ANP analysis a preferred module implementation sequence is achieved in the case company. Moreover, the practical applicability of the method is discussed in the paper.","PeriodicalId":432250,"journal":{"name":"Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125352703","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}
Movement in wireless and sensor environments changes the degree to which we can communicate. Whereas sensor networks are generally seen as static, in many situations there is at least one component which moves, the data sink, which flies over a sensor field to integrate information. Also, it is possible to imagine sensors which, after they are deployed, move once into position. There are quality of service tradeoffs related to movement, for movement takes energy and time, but can increase integration, which we can measure in two ways. The utility of the sensor field is related to the number and size of its connected components. The pragmatic utility measures the communication back to human interpreters, and is a function of the periodicity of the transmission activity.
{"title":"Flying Sinks: Heuristics for Movement in Sensor Networks","authors":"J. Nickerson","doi":"10.1109/HICSS.2006.185","DOIUrl":"https://doi.org/10.1109/HICSS.2006.185","url":null,"abstract":"Movement in wireless and sensor environments changes the degree to which we can communicate. Whereas sensor networks are generally seen as static, in many situations there is at least one component which moves, the data sink, which flies over a sensor field to integrate information. Also, it is possible to imagine sensors which, after they are deployed, move once into position. There are quality of service tradeoffs related to movement, for movement takes energy and time, but can increase integration, which we can measure in two ways. The utility of the sensor field is related to the number and size of its connected components. The pragmatic utility measures the communication back to human interpreters, and is a function of the periodicity of the transmission activity.","PeriodicalId":432250,"journal":{"name":"Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128531542","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}
Sentiment classification aims at mining reviews of customers for a certain product by automatic classifying the reviews into positive or negative opinions. With the fast developing of World Wide Web applications, sentiment classification would have huge opportunity to help people automatic analysis of customers’ opinions from the web information. Automatic opinion mining will benefit to both consumers and sellers. Up to now, it is still a complicated task with great challenge. There are mainly two types of approaches for sentiment classification, machine learning methods and semantic orientation methods. Though some pioneer researches explored the approaches for English movie review classification, few jobs have been done on sentiment classification for Chinese reviews. The improved semantic approach for sentiment classification on movie reviews written in Chinese was proposed in this paper. Data experiment shows the capability of this approach.
{"title":"Sentiment Classification for Movie Reviews in Chinese by Improved Semantic Oriented Approach","authors":"Q. Ye, Wen Shi, Yijun Li","doi":"10.1109/HICSS.2006.432","DOIUrl":"https://doi.org/10.1109/HICSS.2006.432","url":null,"abstract":"Sentiment classification aims at mining reviews of customers for a certain product by automatic classifying the reviews into positive or negative opinions. With the fast developing of World Wide Web applications, sentiment classification would have huge opportunity to help people automatic analysis of customers’ opinions from the web information. Automatic opinion mining will benefit to both consumers and sellers. Up to now, it is still a complicated task with great challenge. There are mainly two types of approaches for sentiment classification, machine learning methods and semantic orientation methods. Though some pioneer researches explored the approaches for English movie review classification, few jobs have been done on sentiment classification for Chinese reviews. The improved semantic approach for sentiment classification on movie reviews written in Chinese was proposed in this paper. Data experiment shows the capability of this approach.","PeriodicalId":432250,"journal":{"name":"Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115359272","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}
T. M. Harrison, J. Ramon Gil-Garcia, T. Pardo, Fiona Thompson
Geographic information technologies (GIT) have the potential to integrate information among multiple organizations. In fact, some of the most impressive advantages of using geo-spatial data are derived from the power of bringing together geographic data covering territories that may well be administered by different organizations and from layering geographic data with other social and demographic data sets. However, building the GIT infrastructure necessary for interoperability and integration has been very challenging. Technical capabilities are available, but organizational, institutional and political factors are seen as powerful barriers. Using structuration theory, this paper argues that the World Trade Center crisis was a catalyst for a change in the conceptualization of GIT for emergency response and, consequently, much was learned about interoperability and inter-organizational geographic information systems.
{"title":"Learning about Interoperability for Emergency Response: Geographic Information Technologies and the World Trade Center Crisis","authors":"T. M. Harrison, J. Ramon Gil-Garcia, T. Pardo, Fiona Thompson","doi":"10.1109/HICSS.2006.248","DOIUrl":"https://doi.org/10.1109/HICSS.2006.248","url":null,"abstract":"Geographic information technologies (GIT) have the potential to integrate information among multiple organizations. In fact, some of the most impressive advantages of using geo-spatial data are derived from the power of bringing together geographic data covering territories that may well be administered by different organizations and from layering geographic data with other social and demographic data sets. However, building the GIT infrastructure necessary for interoperability and integration has been very challenging. Technical capabilities are available, but organizational, institutional and political factors are seen as powerful barriers. Using structuration theory, this paper argues that the World Trade Center crisis was a catalyst for a change in the conceptualization of GIT for emergency response and, consequently, much was learned about interoperability and inter-organizational geographic information systems.","PeriodicalId":432250,"journal":{"name":"Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127179884","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}
Honeypots are computer systems that try to fool cyberattackers into thinking they are ordinary computer systems, when in fact they are designed solely to collect data about attack methods and thereby enable better defense against attackers. Honeypots are more effective the more ordinary they appear, but so far designers have just used intuition in designing them. So it is valuable to develop metrics for measuring the effectiveness of honeypot deception. We report on several software tools we have developed for assessing the effectiveness of honeypots, particularly a metric-calculating tool that summarizes a file system by a vector of 72 numbers. Comparison of vectors between fake and real systems can guide design of the fake. We show that this metric tool, applied to a detailed fake file system we constructed, confirms that it is convincing in most ways.
{"title":"Measuring the Effectiveness of Honeypot Counter-Counterdeception","authors":"N. Rowe","doi":"10.1109/HICSS.2006.269","DOIUrl":"https://doi.org/10.1109/HICSS.2006.269","url":null,"abstract":"Honeypots are computer systems that try to fool cyberattackers into thinking they are ordinary computer systems, when in fact they are designed solely to collect data about attack methods and thereby enable better defense against attackers. Honeypots are more effective the more ordinary they appear, but so far designers have just used intuition in designing them. So it is valuable to develop metrics for measuring the effectiveness of honeypot deception. We report on several software tools we have developed for assessing the effectiveness of honeypots, particularly a metric-calculating tool that summarizes a file system by a vector of 72 numbers. Comparison of vectors between fake and real systems can guide design of the fake. We show that this metric tool, applied to a detailed fake file system we constructed, confirms that it is convincing in most ways.","PeriodicalId":432250,"journal":{"name":"Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127225224","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}
The management of the Information Systems (IS) function is a complex task, particularly in the case of multinational corporations (MNCs), where installations dispersed across distance, time, and cultures can lead to diverse and incompatible systems across foreign subsidiaries. The need to globally control and coordinate the IS management function is often met with resistance from local IS managers who may perceive corporate standards as intrusive. Resource Dependence Theory argues that control is made easier when a subsidiary unit is dependent on corporate headquarters for critical resources. This study examined the IS management relationship between 54 headquarters-subsidiary pairs spread across 19 countries. While the theory holds up well in the case of dependence, the expected relationship with IS resource availability was not observed. Though there was a significant relationship with the use of informal mechanisms of control and coordination, it was in the opposite direction to what was expected.
{"title":"Formal and Informal IS Control Mechanisms in Multinational Corporations: A Test of Resource Dependence Theory","authors":"M. Rao","doi":"10.1109/HICSS.2006.186","DOIUrl":"https://doi.org/10.1109/HICSS.2006.186","url":null,"abstract":"The management of the Information Systems (IS) function is a complex task, particularly in the case of multinational corporations (MNCs), where installations dispersed across distance, time, and cultures can lead to diverse and incompatible systems across foreign subsidiaries. The need to globally control and coordinate the IS management function is often met with resistance from local IS managers who may perceive corporate standards as intrusive. Resource Dependence Theory argues that control is made easier when a subsidiary unit is dependent on corporate headquarters for critical resources. This study examined the IS management relationship between 54 headquarters-subsidiary pairs spread across 19 countries. While the theory holds up well in the case of dependence, the expected relationship with IS resource availability was not observed. Though there was a significant relationship with the use of informal mechanisms of control and coordination, it was in the opposite direction to what was expected.","PeriodicalId":432250,"journal":{"name":"Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124835876","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}
We concern ourselves with the process of making optimized production planning decisions in the face of low frequency, high impact uncertainty, which takes the form of a small number of discrete scenarios. Computational results provide evidence that the computational effort for the full stochastic mixed integer problem can be reduced by first solving scenario sub-problems and then blending them to find values for some of the binary variables.
{"title":"Planning for a Big Bang in a Supply Chain: Fast Hedging for Production Indicators","authors":"D. L. Woodruff, S. Voß","doi":"10.1109/HICSS.2006.380","DOIUrl":"https://doi.org/10.1109/HICSS.2006.380","url":null,"abstract":"We concern ourselves with the process of making optimized production planning decisions in the face of low frequency, high impact uncertainty, which takes the form of a small number of discrete scenarios. Computational results provide evidence that the computational effort for the full stochastic mixed integer problem can be reduced by first solving scenario sub-problems and then blending them to find values for some of the binary variables.","PeriodicalId":432250,"journal":{"name":"Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126149323","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}
The power cost associated with communicating images across a wireless sensor networks is high. Therefore, we provide a method of organizing a large distributed system through analysis of its sensing capabilities to efficiently communicate features of images within the sensor field. Concurrent detections of targets in a sensor field are used to analyze the field of view of image sensors. Link weights are established to provide intelligent communication behavior. Using these link weights, sensor nodes communicate to those that need target features to estimate a 3D track. They also communicate to warn sensor nodes of an approaching target. We illustrate the feasibility of this approach through simulations and deployed experiments.
{"title":"On Scaling Distributed Low-Power Wireless Image Sensors","authors":"Teresa H. Ko, N. Berry","doi":"10.1109/HICSS.2006.364","DOIUrl":"https://doi.org/10.1109/HICSS.2006.364","url":null,"abstract":"The power cost associated with communicating images across a wireless sensor networks is high. Therefore, we provide a method of organizing a large distributed system through analysis of its sensing capabilities to efficiently communicate features of images within the sensor field. Concurrent detections of targets in a sensor field are used to analyze the field of view of image sensors. Link weights are established to provide intelligent communication behavior. Using these link weights, sensor nodes communicate to those that need target features to estimate a 3D track. They also communicate to warn sensor nodes of an approaching target. We illustrate the feasibility of this approach through simulations and deployed experiments.","PeriodicalId":432250,"journal":{"name":"Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)","volume":"60 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123303619","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}
Most markets compromise the economist’s ideal of matching the marginal benefits to consumers with the marginal cost of supply for incremental purchases because individual buyers and sellers are aggregated over space, time and/or other product attributes like quality or reliability. These aggregations into discrete market segments are designed to facilitate transactions by reducing search and distribution costs, and they may enhance the competitiveness of each market segment by encompassing a larger number of buyers and sellers, but at some loss of precise efficiency matches. Furthermore, as individual market segments grow in size, the price differences across their boundaries may also increase which can raise the transactions costs associated with increased arbitrage. These are important considerations for electricity markets since significant physical, operational and capacity barriers separate and define these markets over space and time. Thus principles for the optimal structure of these markets are developed, and in particular, it is shown that forward markets with lead times longer than the gestation period required to construct new generation capacity are essential to insure efficient subsequent spot markets. By comparison, if these forward markets occur only after new construction is begun, as with existing installed capacity markets, spot market prices may be higher. Similarly, the extent of separation and spacing of markets across regions and control areas, particularly in the face of transport congestion or operational boundaries, is important for enhanced efficiency.
{"title":"Electricity Markets: How Many, Where and When?","authors":"N. Adilov, R. Schuler","doi":"10.1109/HICSS.2006.144","DOIUrl":"https://doi.org/10.1109/HICSS.2006.144","url":null,"abstract":"Most markets compromise the economist’s ideal of matching the marginal benefits to consumers with the marginal cost of supply for incremental purchases because individual buyers and sellers are aggregated over space, time and/or other product attributes like quality or reliability. These aggregations into discrete market segments are designed to facilitate transactions by reducing search and distribution costs, and they may enhance the competitiveness of each market segment by encompassing a larger number of buyers and sellers, but at some loss of precise efficiency matches. Furthermore, as individual market segments grow in size, the price differences across their boundaries may also increase which can raise the transactions costs associated with increased arbitrage. These are important considerations for electricity markets since significant physical, operational and capacity barriers separate and define these markets over space and time. Thus principles for the optimal structure of these markets are developed, and in particular, it is shown that forward markets with lead times longer than the gestation period required to construct new generation capacity are essential to insure efficient subsequent spot markets. By comparison, if these forward markets occur only after new construction is begun, as with existing installed capacity markets, spot market prices may be higher. Similarly, the extent of separation and spacing of markets across regions and control areas, particularly in the face of transport congestion or operational boundaries, is important for enhanced efficiency.","PeriodicalId":432250,"journal":{"name":"Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115491344","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}
Market power potential is a serious concern for efficient and competitive operation of centrally-dispatched electricity markets. Traditional measures for market power ignore underlying physical characteristics of the electric grid that may be exploited for local advantage. In our prior work we have proposed a revenue sensitivity-based approach for identifying market participants with market power potential, and we demonstrated detailed cases using a 30-bus system[1] [2] [3]. In this paper we address computational challenges for scaling our method to large systems, and we present practical extensions to a portion of our work that enables the evaluation of very large, RTO-scale electric power grids.
{"title":"Identification of Market Power in Large-Scale Electric Energy Markets","authors":"B. Lesieutre, HyungSeon Oh, R. Thomas, V. Donde","doi":"10.1109/HICSS.2006.209","DOIUrl":"https://doi.org/10.1109/HICSS.2006.209","url":null,"abstract":"Market power potential is a serious concern for efficient and competitive operation of centrally-dispatched electricity markets. Traditional measures for market power ignore underlying physical characteristics of the electric grid that may be exploited for local advantage. In our prior work we have proposed a revenue sensitivity-based approach for identifying market participants with market power potential, and we demonstrated detailed cases using a 30-bus system[1] [2] [3]. In this paper we address computational challenges for scaling our method to large systems, and we present practical extensions to a portion of our work that enables the evaluation of very large, RTO-scale electric power grids.","PeriodicalId":432250,"journal":{"name":"Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116457464","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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