John Wang

In the face of escalating environmental challenges such as climate change, air and water pollution, and natural disasters, traditional approaches to understanding and addressing...

E-waste is a major global problem linked to the use, and discard of, electronic and electric devices. While the volume of these obsolete devices continues to increase and...

Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become...

There are various factors that influence the quality and quantity of agricultural products; among them, weather conditions play the most significant role in agriculture. More...

Ariba Inc. and Commerce One Inc. (C1), two bellwethers with e-entrepreneurship in the e-commerce field, provided business-to-business (B2B) spend management and supply chain...

Climate change heightens global warming and brings about impending risks for both human society and natural systems. Climate change is the greatest threat modern humans have ever...

The sudden outbreak of the COVID-19 pandemic has curbed human lifestyle by imposing restrictions on regular daily movements that had been taken for granted. Due to the pandemic...

Weather forecasting and climate behavioral analysis have traditionally been done using complicated physics models and accompanying atmospheric variables. However, the traditional...

Once upon a time, there was a "Cheapest Supply House on Earth". During the late 1970's, its annual revenue would at times make up about 1% of the U.S. GDP. From 1973-1998, it...

One of the main problems in K-means clustering is setting of initial centroids which can cause misclustering of patterns which affects clustering accuracy. Recently, a density...

Through its cloud-based source-to-pay business network, SAP Ariba provides an integrated platform and interface to help companies manage their supply chain. In this chapter, the...

Business analytics provides the framework to exploit the synergies among traditionally-diverse topics, such as the fields of data mining, quantitative methods, operations...

Through its cloud-based source-to-pay business network, SAP Ariba provides an integrated platform and interface to help companies manage their supply chain. In this chapter, we...

NK model describes a system of N elements. The complexity of the system is modeled as the interdependency among its elements. Such interdependency is represented by parameter K...

The International Journal of Business Analytics (IJBAN) is an indispensable resource for practitioners and academics that work in Business Analytics and related fields. Business...

With the influence of operations research and management science, business and administration methods have made significant strides in advancing the effective application methods...

As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions...

Knowledge is power: In today’s era of knowledge-based economies, constantly changing business environments, severe competition, and globalization, gaining the knowledge edge will...

The effective use of business intelligence, communication, and productivity applications for supply chain management are essential for the achievement and analysis of information...

With the continuous growth of the service sector, the ability to develop and implement information systems is important in order to measure progress. Implementation and...

Perspectives and Techniques for Improving Information Technology Project Management discusses the variety of information systems and how it can improve project management and...

The emergence of the digital age has transformed the way society communicates as well as disseminates information. Information Systems and Modern Society: Social Change and...

Adapting the development of information systems for operations management is essential for the effectiveness of an organization’s business strategy. Optimizing, Innovating, and...

Sentiment mining research has experienced an explosive growth in awareness and demand as Web 2.0 technologies have paved the way for a surge of social media platforms that have...

The authors critically review the history of information technology innovations, from a national competitive advantage perspective. Definitions of key terms are grounded in a...

Data warehouse is a system which can integrate heterogeneous data sources to support the decision making process. Data warehouse design is a lengthy, time-consuming, and costly...

Measuring progress in the service sector is closely linked to the ability to develop and implement information systems. As the service sector continues to grow, it is important...

In order to manage complex supply and demand networks, staying abreast of the latest research and developments within the field of supply chain management is of vital importance....

Tailoring information systems development to operations management and business strategy is an important way to bolster the effectiveness and efficiency of any institution’s...

Digital citizens now expect more information to flow more freely, quickly, and openly than ever before, and therefore the dissemination of information from the development of IS...

Managing cost, time, and quality of a project can be a challenging task for any project manager, but especially in times of an ever-changing and burgeoning field of IT. Project...

This paper presents a two-phase scheme to select reduced number of features from a dataset using Genetic Algorithm (GA) and testing the classification accuracy (CA) of the...

This article compares the effects of information and communication technology (ICT) on labor productivity growth and human quality of life in industrialized countries. A...

Information technology professionals comprise an important segment of adult learners seeking a four-year undergraduate degree, and it is important to provide programs that...

The authors’ paper addresses the applications of data mining within the healthcare industry. Healthcare data are seen as one of the more rewarding and most difficult of all data...

The International Journal of Knowledge-Based Organizations (IJKBO) examines current, state-of-the-art research in the areas of decision sciences and business intelligence, and...

Our rapidly changing world has forced business practitioners, in corporation with academic researchers, to respond quickly and develop effective solution methodologies and...

In recent years, with rapidly advancing technology and a more globalized culture, the importance of Information Systems has become paramount. The application of Information...

Information systems were developed in early 1960s to process orders, billings, inventory controls, payrolls, and accounts payables. Soon information systems research began. Harry...

With the explosive growth of online sales, multi-channel retailers are increasingly focused on finding ways of integrating the online channel with traditional retail stores. The...

International comparisons of educational systems are commonly practiced using subjective methods available in literature. The use of subjective methods can lead to non-standard...

The intersection of supply chain management and e-business information systems is a significant topic for the modern business world as understanding which technologies will most...

This fully refereed journal examines current, state-of-the-art research in the areas of information technology project management, and the interactions, linkages, applications...

The International Journal of Information Systems and Social Change (IJISSC) examines current, state-of-the-art research in the areas of information systems and social change, and...

The International Journal of Operations Research and Information Systems (IJORIS) examines current, state-of-the art advances in the interactions, linkages, applications, and...

Over the four decades of its history, decision support systems (DSSs) have moved from a radical movement that changed the way information systems were perceived in business, to a...

Over the four decades of its history, decision support systems (DSSs) have moved from a radical movement that changed the way information systems were perceived in business, to a...

Since their creation in the early 1960’s, decision support systems (DSSs) have evolved over the past 4 decades and continue to do so today. Although DSSs have grown substantially...

In the late 1960s, a new type of information system came about: model-oriented DSS or management decision systems. By the late 1970s, a number of researchers and companies had...

Group decision support systems (GDSSs) which aim at increasing some of the benefits of collaboration and reducing the inherent losses are interactive information technology-based...

Operations research and management science continue to influence business processes, administration, and management information systems, particularly in covering the application...

This article compares the effects of information and communication technology (ICT) on labor productivity growth and human quality of life in industrialized countries. A...

Finding the right software is often hindered by different criteria as well as by technology changes. The authors performed an AHP (Analytic Hierarchy Process) analysis using...

This paper presents a two-phase scheme to select reduced number of features from a dataset using Genetic Algorithm (GA) and testing the classification accuracy (CA) of the...

Since their creation in the early 1960’s, decision support systems (DSSs) have evolved over the past 4 decades and continue to do so today. Although DSSs have grown substantially...

Over the four decades of its history, decision support systems (DSSs) have moved from a radical movement that changed the way information systems were perceived in business, to a...

Information technology professionals comprise an important segment of adult learners seeking a four-year undergraduate degree, and it is important to provide programs that...

There are more than one billion documents on the Web, with the count continually rising at a pace of over one million new documents per day. As information increases, the...

The International Journal of Information Systems in the Service Sector (IJISSS) examines current, state-of-the-art research in the area of service sectors and their interactions...

International comparisons of educational systems are commonly practiced using subjective methods available in literature. The use of subjective methods can lead to non-standard...

With the explosive growth of online sales, multi-channel retailers are increasingly focused on finding ways of integrating the online channel with traditional retail stores. The...

Group decision support systems (GDSSs) which aim at increasing some of the benefits of collaboration and reducing the inherent losses are interactive information technology-based...

Throughout the years many have argued about different definitions for DSS; however they have all agreed that in order to succeed in the decision-making process, companies or...

In the late 1960s, a new type of information system came about: model-oriented DSS or management decision systems. By the late 1970s, a number of researchers and companies had...

Data mining is the process of extracting previously unknown information from large databases or data warehouses and using it to make crucial business decisions. Data mining tools...

Information systems were developed in early 1960s to process orders, billings, inventory controls, payrolls, and accounts payables. Soon information systems research began. Harry...

Today’s e-commerce environment requires that interactive systems exhibit abilities such as autonomy, adaptive and collaborative behavior, and inferential capability. Such...

To adapt users’ input and tasks an interactive system must be able to establish a set of assumptions about users’ profiles and task characteristics, which is often referred as...

In the late 1960s, a new type of information system came about: model-oriented DSS or management decision systems. By the late 1970s, a number of researchers and companies had...

Over the four decades of its history, decision support systems (DSSs) have moved from a radical movement that changed the way information systems were perceived in business, to a...

Project management is the discipline of defining and achieving targets while optimizing (or just allocating) the use of resources, that is, time, money, people, materials...

Since their creation in the early 1960’s, decision support systems (DSSs) have evolved over the past 4 decades and continue to do so today. Although DSSs have grown substantially...

In contrast to ongoing, functional work, a project is a temporary endeavor undertaken to achieve or create a unique product or service(s). The project management knowledge and...

Finding the right software is often hindered by different criteria as well as by technology changes. We performed an analytic hierarchy process (AHP) analysis using Expert Choice...

Data mining involves searching through databases for potentially useful information such as knowledge rules, patterns, regularities, and other trends hidden in the data. In order...

Finding the right software is often hindered by different criteria as well as by technology changes. We performed an analytic hierarchy process (AHP) analysis using Expert Choice...

Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications provides the most comprehensive compilation of research available in this emerging and increasingly...

The International Journal of Information Systems and Supply Chain Management (IJISSCM) examines current, state-of-the-art research in the areas of SCM and the interactions...

Finding the right software is often hindered by different criteria as well as by technology changes. We performed an analytic hierarchy process (AHP) analysis using Expert Choice...

This research explores the effectiveness of data mining in a commercial perspective. Statistical issues are specified first. Data accuracy and standardization are followed then....

The challenges of evaluation and decision making are encountered in every sphere of life and on a regular basis. The nature of the required decisions, however, may vary between...

Today’s business environment is dynamic and uncertain. Competition among business organizations is becoming more intensified and globalized. These business organizations’ demand...

Information systems were developed in early 1960s to process orders, billings, inventory controls, payrolls, and accounts payables. Soon information systems research began. Harry...

Within the realm of multicriteria decision making (MCDM) exists a powerful method for solving problems with multiple objectives. Goal programming (GP) was the first...

The workflow of health care organizations involves the generation and collection of various kinds of data relating to clinical practices, clinical trials, patient information...

Many organizations now view information as one of their most valuable assets, and data mining software allows a company to make full use of these information assets. Data mining...

A data warehouse (DW) is a complete intelligent data storage and information delivery or distribution solution enabling users to customize the flow of information through their...

Throughout the years many have argued about different definitions for DSS; however they have all agreed that in order to succeed in the decision-making process, companies or...

Over the four decades of its history, decision support systems (DSSs) have moved from a radical movement that changed the way information systems were perceived in business, to a...

Decision trees are part of the decision theory and are excellent tools in the decision-making process. Majority of decision tree learning methods were developed within the last...

An executive information system (EIS) is a computerbased system that serves the information needs of top executives. Also known as executive support systems (ESSs), EISs are...

Group decision support systems (GDSSs) which aim at increasing some of the benefits of collaboration and reducing the inherent losses are interactive information technology-based...

A data warehouse (or smaller-scale data mart) is a specially prepared repository of data created to support decision making. Data are extracted from source systems...

Data mining involves searching through databases for potentially useful information such as knowledge rules, patterns, regularities, and other trends hidden in the data. In order...

Enron Corporation, the seventh-largest company in the nation, was named “America’s Most Innovative Company” by Fortune Magazine from 1989 through 2001. Ironically, the company...

Enron Corporation was the seventh largest company in the U.S. when its collapse shocked the nation. Enormous assets and careers staked on those assets went up in flames. It was...

Commerce One (or C1) developed software systems enabling companies to transform their purchasing interactions into real-time trading networks. Commerce One acquired the...

Enron was formed in 1985 when a Houston natural gas company merged with InterNorth, a gas provider in Nebraska to operate an interstate natural gas pipeline that linked the Great...

Data Warehousing and Mining (DWM) is the science of managing and analyzing large datasets and discovering novel patterns and in recent years has emerged as a particularly...

Data Mining: Opportunities and Challenges presents an overview of the state of the art approaches in this new and multidisciplinary field of data mining. The primary objective of...

Although Data Mining (DM) may often seem a highly effective tool for companies to be using in their business endeavors, there are a number of pitfalls and/or barriers that may...

Embracing inapt infrastructure technology is a major threat in developing extensive and efficient Web-based systems. The architectural strength of all business models demands an...