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Journal of International Technology and Information Management
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Full-Text Articles in Business
A Modified Stacking Ensemble Machine Learning Algorithm Using Genetic Algorithms, Riyaz Sikora, O'La Hmoud Al-Laymoun
A Modified Stacking Ensemble Machine Learning Algorithm Using Genetic Algorithms, Riyaz Sikora, O'La Hmoud Al-Laymoun
Journal of International Technology and Information Management
With the massive increase in the data being collected as a result of ubiquitous information gathering devices, and the increased need for doing data mining and analyses, there is a need for scaling up and improving the performance of traditional data mining and learning algorithms. Two related fields of distributed data mining and ensemble learning aim to address this scaling issue. Distributed data mining looks at how data that is distributed can be effectively mined without having to collect the data at one central location. Ensemble learning techniques aim to create a meta-classifier by combining several classifiers created on the …
Identifying Entity Types For E-R Diagramming In Developing Data- Intensive Web Applications, Seung C. Lee
Identifying Entity Types For E-R Diagramming In Developing Data- Intensive Web Applications, Seung C. Lee
Journal of International Technology and Information Management
Although the Web has become a major enabler for data-intensive business applications such as e-tailing, customer relationship management, and supply chain management, we find that most Web applications are built up in ad hoc fashion, raising the data-related issues of data definition and data integration. This paper proposes a new approach for identifying entity types for E-R diagramming in developing data-rich Web applications. The methodology is founded on elements of Web applications including pages, links, Web application architecture, and business logic modules.
Validating An End-User Computing Satisfaction Instrument: A Confirmatory Factor Analysis Approach Using International Data, Kee-Sook Lim, Jeen-Su Lim, John H. Heinrichs
Validating An End-User Computing Satisfaction Instrument: A Confirmatory Factor Analysis Approach Using International Data, Kee-Sook Lim, Jeen-Su Lim, John H. Heinrichs
Journal of International Technology and Information Management
This study evaluates the construct validity of an end-user computing satisfaction scale in the context of the Korean culture. The structure and dimensionality, reliability and validity of an end-user computing satisfaction (EUCS) instrument were cross-validated using data obtained from 108 managers of Korean firms in the context of the end-user satisfaction with their office information system. The results of this study are generally consistent with previous findings regarding the measurement property of this instrument. However, Korean data also supports the five correlated first-order factors model. Managerial and research implications of the identified results are discussed.
Information Relevance And Availability: Toward Effective Management Of Projects In Public Sector, Carlos F. Gomes, Mahmoud M. Yasin
Information Relevance And Availability: Toward Effective Management Of Projects In Public Sector, Carlos F. Gomes, Mahmoud M. Yasin
Journal of International Technology and Information Management
Information plays a critical role in the different stages of managing a project. This study examines the views of one hundred and two (102) Portuguese Public sector officials on the relevance, availability and sharability of information as practiced in their organizations. Cluster analysis, gap analysis and confirmatory factor analysis procedures are utilized to analyze the collected data. The results of this study tend to underscore the growing need to have well- designed information systems, which are capable of enhancing the availability and promoting the sharability of relevant information.
Improving Credit Card Operations With Data Mining Techniques, Malini Krishnamurthi
Improving Credit Card Operations With Data Mining Techniques, Malini Krishnamurthi
Journal of International Technology and Information Management
Consumer credit is ubiquitous and lending poses credit risk – the risk of economic loss due to the failure of a borrower to repay according to the terms of his or her contract with the lender. And so, managing credit risk entails estimating the potential ability of borrowers to repay their debts. Researchers have sought to identify factors that contribute to consumer risk, by using quantitative models. However, the presence of data mining techniques to identify credit risk cannot be ignored. There is a paucity of research to demonstrate the use of data mining techniques in this context, and such …
A New Approach For Evaluating The Order Fulfillment Process Options Of B2c Horizontal Portals Using Dea (Data Envelopment Analysis), Tapati Bandopadhyay, Pradeep Kumar
A New Approach For Evaluating The Order Fulfillment Process Options Of B2c Horizontal Portals Using Dea (Data Envelopment Analysis), Tapati Bandopadhyay, Pradeep Kumar
Journal of International Technology and Information Management
By using the traditional statistical or operations research methods for deciding the product-delivery logistics, the portal companies are not using their competitive advantages on being more e-enabled, informed and computationally able than their traditional counterparts. In this paper, we show some typical characteristics of the portals like their handling of a huge range of goods in terms of transactional values or volumes. Subsequently, we have identified three types of generic product-delivery logistics of the portals with various intermediate entities or trading partners. Then, a completely different approach using an extreme point method rather than the traditional central-tendency-based statistical methods has …
Simulation Model And Analysis Of A Data Warehouse, Vikas Agrawal, Udayan Nandkeolyar, P.S. Sundararaghavan, Mesbah U. Ahmed
Simulation Model And Analysis Of A Data Warehouse, Vikas Agrawal, Udayan Nandkeolyar, P.S. Sundararaghavan, Mesbah U. Ahmed
Journal of International Technology and Information Management
Data warehouses are large complex systems with many interacting nonlinear components. It is an amalgamation of many different systems and integration of such diverse elements is its primary concern. It is often difficult for a data warehouse manager to predict the performance of the system especially when demand pattern for the required data keeps changing. We have developed a simulation model using ARENA simulation package that will simulate the behavior and performance of a data warehouse system environment based on its overall design. Given such a model, a data warehouse manager can walk through various what-if scenarios and can pinpoint …
A Methodology For Evaluating Data And Output Misfits In Commercial Off-The-Shelf Erp Systems, Jen-Her Wu, Chang-Tseh Hsieh, Shin-Shing Shin, Chi-Cheng Wu
A Methodology For Evaluating Data And Output Misfits In Commercial Off-The-Shelf Erp Systems, Jen-Her Wu, Chang-Tseh Hsieh, Shin-Shing Shin, Chi-Cheng Wu
Journal of International Technology and Information Management
This paper presents a methodology based on the task-technology fit theory to identify data and output misfits in the ex-ante evaluation of an off-the shelf enterprise resources planning (ERP) package. The proposed methodology consists of two stages: output misfit analysis and data misfit analysis. The purpose of the first stage is to identify corresponding field (output misfits) and data glossary for data misfit analysis. The latter stage identifies data misfits for every corresponding activity in the business process sequence. The proposed methodology provides a systematic approach to alleviate the difficulty and complexity in identifying data and output misfits. The identification …
Task-Technology Fit In Data Warehousing Environments: Analyzing The Factors That Affect Utilization, Richard V. Mccarthy, George F. Claffey
Task-Technology Fit In Data Warehousing Environments: Analyzing The Factors That Affect Utilization, Richard V. Mccarthy, George F. Claffey
Journal of International Technology and Information Management
Enterprise data warehouses are an expensive investment in both time and resources. The promise of data warehouses is improved decision-making through user empowerment and enablement of sophisticated decision support tools. Have organizations been able to achieve this goal? Task- technology fit defines a model that suggests that for a technology to be utilized, it must meet the needs of a user and provide features that support the fit of the requirements of the task; performance impacts will result. When an organization commits the time and resources necessary to develop an enterprise data warehouse, their expectation will be a high task-technology …
Building Data Warehouses Using The Enterprise Modeling Framework, Joseph O. Chan
Building Data Warehouses Using The Enterprise Modeling Framework, Joseph O. Chan
Journal of International Technology and Information Management
This paper proposes an enterprise modeling framework for the deployment of data warehouses. The framework provides the information roadmap coordinating source data and different data warehouses across the business enterprise. The paper introduces a solution to address data warehousing issues at the enterprise level while avoiding the pitfalls of creating enterprise data warehouses and universal data marts. It further proposes a change of paradigm from point solutions focus to a methodology driven by enterprise requirements to meet the challenges of the new economy. The proposed framework emphasizes the separation of the conceptual construct from the physical and operational constructs of …