A demand-driven approach for a multi-agent system in Supply Chain Management

This paper presents the architecture of a multi-agent decision support system for Supply Chain Management (SCM) which has been designed to compete in the TAC SCM game. The behaviour of the system is demand-driven and the agents plan, predict, and react dynamically to changes in the market. The main strength of the system lies in the ability of the Demand agent to predict customer winning bid prices - the highest prices the agent can offer customers and still obtain their orders. This paper investigates the effect of the ability to predict customer order prices on the overall performance of the system. Four strategies are proposed and compared for predicting such prices. The experimental results reveal which strategies are better and show that there is a correlation between the accuracy of the models' predictions and the overall system performance: the more accurate the prediction of customer order prices, the higher the profit. © 2010 Springer-Verlag Berlin Heidelberg

The Future of Retail Operations

Retailing consists of all the activities associated with the selling of goods to the final consumer. In this article, we review the research on retail operations published in Manufacturing & Service Operations Research (M&SOM) since 1999. We then discuss the current retail landscape and the new research directions it offers, in which M&SOM can play a prominent role

Diffusion of social cognitive theory in information systems research: A bibliometric study

Recently, Social Cognitive theory (SCT) has been widely adapted across various disciplines in business and management as well as Information Systems (IS) research. In IS, the use of SCT remains in its early stages. Few bibliometric analyses have been published on mapping theories across previous literature. However, to date factors related to literature review mapping in relation to SCT in IS have not been much examined. This paper aims to investigate the expliotiation of SCT in IS research based on bibliometric analysis. In this study a biblimetric analysis is conducted on previous literature reviews/abstracts based on Association of Business Schools (ABS) journal rankings from Information Management field perspective. 62 articles in Information Management field have utilised SCT were published in 17 (out of 53 journals) between 1995 and 2010. The study findings has identified that the organisation/firm and actors as a unit of analysis, positivist paradigm, empirical and quantitative research as well as survey method were used significantly in combination with SCT in IS studies. This bibliometric study will provide the needed platform for a better understanding of high quality research activities. Consequently, this can be used as an indicator to measure research quality and the impact of future direction and exploitation of SCT in IS research

Managing evolution and change in web-based teaching and learning environments

The state of the art in information technology and educational technologies is evolving constantly. Courses taught are subject to constant change from organisational and subject-specific reasons. Evolution and change affect educators and developers of computer-based teaching and learning environments alike – both often being unprepared to respond effectively. A large number of educational systems are designed and developed without change and evolution in mind. We will present our approach to the design and maintenance of these systems in rapidly evolving environments and illustrate the consequences of evolution and change for these systems and for the educators and developers responsible for their implementation and deployment. We discuss various factors of change, illustrated by a Web-based virtual course, with the objective of raising an awareness of this issue of evolution and change in computer-supported teaching and learning environments. This discussion leads towards the establishment of a development and management framework for teaching and learning systems

An Investigation of the Negotiation Domain for Electronic Commerce Information Systems

To support fully automatic business cycles, information systems for electronic commerce need to be able to conduct negotiation automatically. In recent years, a number of general frameworks for automated negotiation have been proposed. Application of such frameworks in a specific negotiation situation entails selecting the proper framework and adapting it to this situation. This selection and adaptation process is driven by the specific characteristics of the situation. This paper presents a systematic investigation of there characteristics and surveys a number of frameworks for automated negotiation

ICT adoption in developing countries : perspectives from small-scale agribusinesses

The purpose of this paper is to critically examine how social augmented parameters impact on the effective adoption of information and communication technology (ICT) by small-scale agribusinesses operating in Southeast Nigeria. The relevance of incorporating social imperatives in scholarship focused on technology adoption is due to its role in sustaining the process of adoption and diffusion. Data were gathered from a focus group made up of 27 agribusiness proprietors affiliated with a state cooperative based in the south-eastern Nigerian state of Ebonyi. This paper puts forward an argument that to ensure successful diffusion of innovation, a balance must be maintained between the amount of effort expended in the design of ICT and social factors such as language and traditional life. The paper finds that a willingness of indigenous ICT users is particularly influenced by the recognition and incorporation of visible social imperatives during the adoption process. The outcome of this study highlights important issues for ICT adoption. One particular area that must be taken into consideration is the adoption channel. Perceptions of ICT adoption will differ significantly among adopters. For this reason, the need for developing an appropriate adoption channel that ensures successful diffusion of the innovation should be recognised. This study contributes to ongoing research in ICT innovation adoption in small agribusinesses operating in indigenous societies. The theoretical implications of this paper are the development of a conceptual ICT adoption framework that emphasises social imperatives. The paper also demonstrates that agricultural enterprises should be treated as ‘normal’ firms in their own right

When Cost-Efficient Technologies Meet Politics: A Case Study of Radical Wireless Network Implementation

Cost efficiency has been a dominant perspective in the traditional IT literature. However, in complex technology and business environment, the widely recognized cost efficient assumption of information technology has been increasingly challenged. Drawing from a case study of wireless network implementation situated in a politically sensitive workplace, this paper provided practice insights for IT managers in today’s networked economy. More specifically, stories experienced in the case study illustrated that despite well-calculated cost efficiency of wireless network infrastructure, the radical implementation process in the case organization encountered enormous challenges and opposition due to the fact that administrators failed to consider various stakeholders’ positions and interests. Eventually, the implementation objectives and outcome were considerably undermined. Implications from this empirical case research reemphasized the significance of understanding political forces situated in any business environment where different stakeholders hold conflicting interests. Lessons learned from the case story further encouraged IT managers and policy makers to better strategize emerging information technology in general and wireless networks in particular as the whole global society and business environment are increasingly facing an emerging wireless world

Template-driven teacher modelling approach : a thesis submitted in partial fulfilment of the requirements for the degree of Master of Science in Information Science at Massey University, Palmerston North

This thesis describes the Template-driven Teacher Modeling Approach, the initial implementation of the template server and the formative evaluation on the prototype. The initiative of Template-driven teacher modeling is to integrate the template server and intelligent teacher models in Web-based education systems for course authoring. There are a number of key components in the proposed system: user interface, template server and content repository. The Template-Driven Teacher Modeling (TDTM) architecture supports the course authoring by providing higher degree of control over the generation of presentation. The collection of accumulated templates in the template repository for a teacher or a group of teachers are selected as the inputs for the inference mechanism in teacher's model to calculate the best representation of the teaching strategy, and then predict teacher intention when he or she interacts with the system. Moreover, the presentation templates are kept to support the re-use of the on-line content at the level of individual screens with the help of Template Server

Virtual Astronomy, Information Technology, and the New Scientific Methodology

All sciences, including astronomy, are now entering the era of information abundance. The exponentially increasing volume and complexity of modern data sets promises to transform the scientific practice, but also poses a number of common technological challenges. The Virtual Observatory concept is the astronomical community's response to these challenges: it aims to harness the progress in information technology in the service of astronomy, and at the same time provide a valuable testbed for information technology and applied computer science. Challenges broadly fall into two categories: data handling (or "data farming"), including issues such as archives, intelligent storage, databases, interoperability, fast networks, etc., and data mining, data understanding, and knowledge discovery, which include issues such as automated clustering and classification, multivariate correlation searches, pattern recognition, visualization in highly hyperdimensional parameter spaces, etc., as well as various applications of machine learning in these contexts. Such techniques are forming a methodological foundation for science with massive and complex data sets in general, and are likely to have a much broather impact on the modern society, commerce, information economy, security, etc. There is a powerful emerging synergy between the computationally enabled science and the science-driven computing, which will drive the progress in science, scholarship, and many other venues in the 21st century