A conceptual model of enterprise application integration in higher education institutions

Copyright @ 2013 EMCIS.It is eminent that several applications’ systems are deployed at different levels in Higher Education (HE), ranging from academic and administrative to staff and students record systems. Many of these systems suffer from different problems due to the lack of integration such as data redundancy, inconsistency and maintenance cost. Enterprise Application Integration (EAI) can provide substantial benefits to these systems, such as assisting with business process integration, facilitating e-service based transformation and supporting collaborative decision-making. However, some factors that influence EAI adoption process in HE will be defined. This paper introduces a conceptual model to explain the outcome of using EAI in Higher Education Institutions (HEIs). Analyzing the combination of the existing classification of EAI factors with the HE factors will enhance the implementation of EAI in HEI at both organizational and operational levels. A pilot study at King Abdulaziz University (KAU), Kingdom of Saudi Arabia will be presented in this paper to show that the integration of the multiple information systems gives an integrated view to facilitate information access and reuse. Moreover data from different information systems is combined to gain a more comprehensive basis to satisfy the educational needs

Algorithm Engineering in Robust Optimization

Robust optimization is a young and emerging field of research having received a considerable increase of interest over the last decade. In this paper, we argue that the the algorithm engineering methodology fits very well to the field of robust optimization and yields a rewarding new perspective on both the current state of research and open research directions. To this end we go through the algorithm engineering cycle of design and analysis of concepts, development and implementation of algorithms, and theoretical and experimental evaluation. We show that many ideas of algorithm engineering have already been applied in publications on robust optimization. Most work on robust optimization is devoted to analysis of the concepts and the development of algorithms, some papers deal with the evaluation of a particular concept in case studies, and work on comparison of concepts just starts. What is still a drawback in many papers on robustness is the missing link to include the results of the experiments again in the design

Taxonomic classification of planning decisions in health care: a review of the state of the art in OR/MS

We provide a structured overview of the typical decisions to be made in resource capacity planning and control in health care, and a review of relevant OR/MS articles for each planning decision. The contribution of this paper is twofold. First, to position the planning decisions, a taxonomy is presented. This taxonomy provides health care managers and OR/MS researchers with a method to identify, break down and classify planning and control decisions. Second, following the taxonomy, for six health care services, we provide an exhaustive specification of planning and control decisions in resource capacity planning and control. For each planning and control decision, we structurally review the key OR/MS articles and the OR/MS methods and techniques that are applied in the literature to support decision making

"Rotterdam Econometrics": an analysis of publications of the econometric institute 1956-2004

The high ranking of the Econometric Institute,as listed in recent leading scientific journals, is examinedfor a fifty year period using similar standard measures. The distribution of the publicationsover different research areas is analyzed and a time-series model is specified to describeand forecast the publication pattern.

A two-step fusion process for multi-criteria decision applied to natural hazards in mountains

Mountain river torrents and snow avalanches generate human and material damages with dramatic consequences. Knowledge about natural phenomenona is often lacking and expertise is required for decision and risk management purposes using multi-disciplinary quantitative or qualitative approaches. Expertise is considered as a decision process based on imperfect information coming from more or less reliable and conflicting sources. A methodology mixing the Analytic Hierarchy Process (AHP), a multi-criteria aid-decision method, and information fusion using Belief Function Theory is described. Fuzzy Sets and Possibilities theories allow to transform quantitative and qualitative criteria into a common frame of discernment for decision in Dempster-Shafer Theory (DST ) and Dezert-Smarandache Theory (DSmT) contexts. Main issues consist in basic belief assignments elicitation, conflict identification and management, fusion rule choices, results validation but also in specific needs to make a difference between importance and reliability and uncertainty in the fusion process

Differences in retail strategies on the emerging organic market

Abstract: Purpose – The organic product market can be considered as an emerging market. Since the 1990s it has experienced rapid growth, and supermarket chains have become the sales channel with the largest market share and are the main driver for further growth. However, different supermarket retail groups have very different strategies concerning the marketing of organic products. The purpose of this paper is to gain insight into the different strategies of retailers who are active in the organic product market and to explain the drivers which may underlie them. Design/methodology/approach – The strategies of the three most important Belgian retailers that market organic products, and in particular organic beef, are analyzed. Data were collected through interviews with the retailers' staff and through observations in retail outlets. Also, GfK-household panel data which recorded all purchases of 3,000 Belgian households and a postal survey with 529 respondents were used as data sources. Findings – The different strategies used by retailers to market organic foods are associated with the overall characteristics and marketing strategies of the retail groups. Some retail groups have clear “first mover” advantages from engaging in the organic product line, while for others an adaptive strategy is more appropriate. Research limitations/implications – The insights from this paper will help the understanding and facilitate the development of future strategies for organic and other high-value or premium products, which will be of interest to researchers and stakeholders who are active in these markets. Practical implications – The retail sector is not a single homogeneous block, but instead consists of retailers who pursue quite different strategies. This concept may have major implications for the future development of high-value markets. Originality/value – Existing relevant theories were applied to the adoption of the organic product line, a segment in the portfolio of retailers that is becoming more important. The empirical material collected sheds new light on the drivers behind retail strategies