Forecasting by Exponential Smoothing

Forecasting is attempting to predict the future. It is an estimate of what the future demands. There are many ways to predict the future or to forecast. The purpose of this paper is to present various forecasting techniques. Concentrating on exponential smoothing. Exponential smoothing is a method of forecasting that uses the least possible amount of past data, reflecting those past movements in the data. This paper will point out the effects of external information of forecasts and how exponential smoothing is used in forecasting. It will attempt to show some of the more important application of forecasting. An important part of this paper is a program to forecast by exponential smoothing. This program will provide a user with a means of forecasting based on the information he provides

Illegal, Inappropriate, And Unethical Behavior In An Information Technology Context: A Study To Explain Influences

A recent study by Banerjee, Cronan and Jones (1998) proposed and tested an information technology (IT) ethics model. They found that personal normative beliefs, organizational ethical climate, and organization-scenario were significant indicators of ethical behavioral intention. Moreover, they found that factors affecting ethical intention are situational and depend upon the ethical dilemma. Further research was suggested and recommended, among other things, replications with different samples. The present study furthers the development/validation of the IT ethical model by utilizing a large sample of students in the same organizational climate (a university). Moreover, based on previous studies, gender is introduced to the model. The present study, as in previous studies, found that personal normative beliefs and scenario (situation) are indicators of ethical behavior intention. However, this study found that attitude toward ethical behavior, ego strength, relative preference for principled reasoning over conventional and pre-conventional reasoning, and gender are additional significant indicators of ethical behavior intention

Academic Integrity: Information Systems Education Perspective

Academic integrity receives a great deal of attention in institutions of higher education. Universities and colleges provide specific honor codes or have administrative units to promote good behaviors and resolve dishonesty allegations. Students, faculty, and staff have stakes in maintaining high levels of academic integrity to ensure their degrees’ value and preserve respect for their institutions. Often, these efforts result in disparate local dialogs and various approaches to create and maintain cultures of integrity. Despite this, academic integrity receives relatively little attention in the academic literature. Several underlying reasons may exist. First, people generally do not want to reveal dishonest actions and this makes research difficult. Second, students come from a variety of backgrounds and cultural settings with different perspectives on academic integrity; some from high school environments with differing views on academic integrity. This context has resulted in the growth of information services and software products designed to structure and enable academic integrity activities and compliance. However, taken by themselves, these services provide only a partial solution. The current special issue is set against this dynamic backdrop and seeks to bring necessary discussions into the open, particularly for those teaching and researching in areas related to information systems. Our special issue offers a venue where research and practice come together in the voices of our contributors. Specifically, our articles include perspectives of academic integrity in online courses; using reflective methods to reduce plagiarism; giving voice to values as a means of promoting ethical actions; and general perspectives on a large-scale academic integrity program

Toward an empirical understanding of computer simulation implementation success,

Abstract This study details the empirical development of a seven-factor contingency model of simulation success. The seven factors are software characteristics, operational cost characteristics, software environment characteristics, simulation software output characteristics, organizational support characteristics, initial investment cost characteristics, and task characteristics. This exploratory model is derived from salient factors hypothesized by researchers and practitioners in the simulation and IS literature based on the premise that computer simulation can be classi®ed as a representational DSS. Additional analysis includes use of a regression model to rank the strength of these factors in their relationship to end-user computing satisfaction. The article concludes with discussion considering how the developed model should serve as a guideline for developers of simulation software and support those seeking to use computer simulation in organizational decision making settings.

Electronic Commerce Success Theory: A Proposed Model for Supply Chain Management Success

Electronic commerce and supply chain management are becoming more interlinked everyday. The assumed benefits of electronic commerce (reduced costs, improved customer service, etc.) are understood to exist in supply chain management when electronic commerce is applied across that medium. The question becomes whether these assumed benefits are real benefits. This paper proposes an electronic commerce success model using an application of electronic commerce, supply chain management. The model incorporates the supply chain, its members and functions, and electronic commerce success measures. Future research should seek to test the proposed model, measuring electronic commerce success given the supply chain member and its function