Recruiting the best in these very tough times: A Study of recruiter behaviors preferred by MIS graduates

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Techniques for visualizing website usage patterns with an adaptive neural network

At any given web site, the flow of users\u27 visitations represents a valuable source of information for web professionals. However, the identification and interpretation of web usage patterns is not necessarily an easy task. The sheer volume and complexity of the browsing patterns captured in the web site server logs makes understanding users a difficult, time consuming task. The present chapter explores the use of an adaptive neural identification of clusters of web pages that are frequently visited together by users. A web site designer can see at a glance the primary groups of web pages that visitors browse. Further, the site structure can be readily compared to the usage clusters to measure how well the links at the web site support the actual use of the site

The Adoption of Entreprise Resource Planning (ERP) Systems

Enterprise Resource Planning (ERP) systems present significant challenges to modern businesses. Although some organizations enjoy a smooth ERP implementation, others experience very public failures. The present research develops a general models that uses differences between appropriability regimes to predict which adoption strategies will lead to successful implementation. In strong appropriability regimes, intellectual property protection (e.g. patents) helps firms secure the benefits of technological innovation. However, ERP software is usually purchased rather than developed, so it is subject to the minimal intellectual property protection typical of a weak appropriateness regime. It is the latter, weak appropriation context that is the recently adopted Enterprise Resource Planning (ERP) systems was used to test a model of weak appropriation with significan results. Leadership (social learning theory), business process reengineering (change the company not the technology) and acquisition strategy (buy, don\u27t make) were found to be significant predictors of adoption performance (final model R-square=43%, F=5.5, p\u3c .001, df=7,52). Industry (manufacturing versus service) and scale (sales) were included as control variables but were not significant in the analysis. EDI (electronic data interchange usage), and project start date were also used as control variables and were found to have significant regression coefficients. That is, EDI tends to substitute for, and slow adoption of ERP, and early movers finish implementation sooner than competitors. In general, strong, honds-on leadership, and business process reengineering coupled with purchasing ERP systems were found to be a much more effective adaptation strategy than tailoring enterprise software. The implications of these results are discussed

New Product Development (NPD) Simulations: Some Challenging Questions and Tough Modeling Issues

The purpose of this paper is to raise some very challenging questions about how to model new product development (NPD) issues in a computerized business simulation. Initially, we briefly review some of the key issues found in the NPD literature, framing each one as a question that challenges new product managers. The paper then addresses how a designer might model these questions in a strategy-oriented game that will include NPD elements. The overall purpose is to start an open forum whereby modelers could discuss and brainstorm contemporary business issues that warrant modeling into competitive business games

An Adaptive neural network for understanding website usage patterns

As the importance of the Internet rises, the need to create more adaptive and more usable web sites also grows. Most improvements to a website requires some knowledge of the site\u27s users and how they are interacting with the pages. However, web professionals today have relatively few good options for capturing this information. Certainly, there are software and services to help summarize the basic information from the web site logs. This could mean keeping track of the frequency of visits for the individual web pages that make up a site counting how many times the overall web site is visited from a specific web location, or other basic statistics

Visual Modeling of Business Simulations

This paper presents a visual modeling technique which will aid designers of business simulations. Three demand examples are presented using the visualization software, Mathematica

Visualization of usage patterns for web personalization

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Integrating Visualization into the Modeling of Business Simulations

This article demonstrates the advantages of using visualization as part of the modeling process. Several examples are given to show how visualization can help developers to more completely understand the range of behaviors for their algorithms. Specifically, the Cobb Douglas function and Gold Pray demand system are examined using a tool that combines mathematical modeling with visualization capabilities

Strategic Predictors of Successful Enterprise Systems Deployment

Purpose The delivered wisdom to date has enterprise system purchase and implementation as one of the most hazardous projects any organization can undertake. The aim was to reduce this risk by both theoretically and empirically finding those key predictors of a successful enterprise system deployment. Design/methodology/approach A representative sample of 60 firms drawn from the Fortune 1000 that had recently (1999-2000) adopted enterprise resource planning (ERP) systems was used to test a model of adoption performance with significant results. Findings Leadership (social learning theory), business process re-engineering (change the company not the technology) and acquisition strategy (buy, do not make) were found to be significant predictors of adoption performance (final model R 2=43 percent, F=5.5, pp Originality/value The “four factor” model we validate is a robust predictor of ERP adoption success and can be used by any organization to audit plans and progress for this undertaking

Strategic Predictors of Successful Enterprise Systems Deployment

Purpose The delivered wisdom to date has enterprise system purchase and implementation as one of the most hazardous projects any organization can undertake. The aim was to reduce this risk by both theoretically and empirically finding those key predictors of a successful enterprise system deployment. Design/methodology/approach A representative sample of 60 firms drawn from the Fortune 1000 that had recently (1999-2000) adopted enterprise resource planning (ERP) systems was used to test a model of adoption performance with significant results. Findings Leadership (social learning theory), business process re-engineering (change the company not the technology) and acquisition strategy (buy, do not make) were found to be significant predictors of adoption performance (final model R 2=43 percent, F=5.5, pp Originality/value The “four factor” model we validate is a robust predictor of ERP adoption success and can be used by any organization to audit plans and progress for this undertaking