Search results

Business schools are tasked with matching curriculum to techniques that industry practitioners rely on for profitability. Forecasting is a significant part of what many firms use to try to predict budgets and to provide guidance as to the direction the business is headed. This chapter focuses on forecasting and how well business schools match the requirements of industry professionals. Considering its importance to achieving successful business outcomes, forecasting is increasingly becoming a more complex endeavor. Firms must be able to forecast accurately to gain an understanding of the direction the business is taking and to prevent potential setbacks before they occur. Our results suggest that, although techniques vary, in large part business schools are introducing students to the forecasting tools that graduates will need to be successful in an industry setting. The balance of our chapter explores the forecasting tools used by business schools and firms, and the challenge of aligning the software learning curve between business school curriculum and industry expectations.

Purpose – The chapter reports on an attempt to compute the size of gross world product (GWP) under the assumption that all violence ceases.

Methodology/approach – Spreadsheet-based simulations, given seed values taken from extensive literature review; this is done, for 2007, in nominal foreign exchange–based US dollars (USD) as well as in purchasing power parity (ppp)–based dollars (international dollars).

Beneficial economic effects from more internal peace (nonviolence within countries) as well from external peace (nonviolence between and among countries) are calculated for each of 140 countries. In addition, we compute sectoral economic effects for the United States.

Findings – For 2007, the simulations suggest that in a state of nonviolence the world economy could have been larger by 4.8 trillion dollars, or 8.7 per cent of actual GWP, when measured in nominal, foreign exchange–based USD, or by 6.0 trillion international dollars, or 9.2 per cent of GWP, when measured in purchasing power parity values.

Limitations – The simulations are based on disparate values found in the literature to seed the spreadsheet calculations; various assumptions are made that would need to be confirmed through country- and sector-specific studies.

Practical implications – Knowledge of the potential size of forgone economic benefits due to violence can assist to set out global violence reduction goals in order to achieve measurable economic results.

Originality/value of chapter – To our knowledge this is the first attempt to calculate the size of the worldwide economic benefits forgone due to violence.

The relationship between electricity demand and weather in the United States has been studied as of late due to increased demand, de-regulation, and new pricing models. The influence of weather or seasonality in energy consumption, particularly electricity demand, has been widely researched. A significant scientific interest in the seasonality of energy consumption has led to an important number of papers exploring the role of weather variability and change on energy consumption. Most of these papers model demand as a function of seasonal climate factors.

The goal of this research is a broad examination of monthly residential electricity demand for a region of the mid-Atlantic using Excel and step-wise regression. This is achieved by using a sequence of models built in Excel in which different patterns are gradually introduced in the estimations. Data over a seven-year period is utilized. A backward elimination step-wise regression analysis is employed to determine which independent variables best model the data. Initial independent variables included high monthly temperature, low monthly temperature, time, year, month, seasonal quarter, and introduction of a “green” tax credit for solar and wind energy.

Models for forecasting the electricity demand and the predictive power of these models is assessed. The work is organized as follows: Data description and the methodology, trend and the seasonality of electricity usage in the mid-Atlantic region, the predictive power and seasonality of the models, and main conclusions drawn from the study.

The reciprocal method for allocating support department costs is preferred over the direct and step-down methods because it captures all support services provided to other departments. However, even as business organizations increase the number of support departments and their costs, the adoption of the reciprocal method has been hindered by mathematical difficulties in solving simultaneous equations. This paper illustrates spreadsheet matrix functions that remove the difficulties associated with the reciprocal method. The algebraic expressions for reciprocated costs commonly presented in accounting textbooks are used to form an equivalent matrix relationship. Then spreadsheet matrix functions easily compute reciprocated costs for support departments from the matrix relationship, and also allocate the reciprocated costs to other departments.

This chapter presents an Excel-based regression analysis to forecast seasonal demand for U.S. Imported Beer sales data. The following seasonal regression models are presented and interpreted including a simple yearly model, a quarterly model, a semi-annual model, and a monthly model. The results of the models are compared and a discussion of each model's efficacy is provided. The yearly model does the best at forecasting U.S. Import Beer sales. However, the yearly does not provide a window into shorter-term (i.e., monthly) forecasting periods and subsequent peaks and valleys in demand. Although the monthly seasonal regression model does not explain as much variance in the data as the yearly model it fits the actual data very well. The monthly model is considered a good forecasting model based on the significance of the regression statistics and low mean absolute percentage error. Therefore, it can be concluded that the monthly seasonal model presented is doing an overall good job of forecasting U.S. Import Beer Sales and assisting managers in shorter time frame forecasting.

The subject area of the assignment is accounting education and testing techniques.

This paper details an effective method to create individualized assignments and testing materials. Using a spreadsheet (Microsoft Excel), the creation of the unique assignments and answer keys can be semi-automated to reduce the grading difficulties of unique assignments.

Because students are using a unique data set for each assignment, the students are able to more effectively engage in student to student teaching. This process of unique assignments allows students to collaborate without fear that a single student would provide the answers. As tax laws (e.g., credit and deduction phase-outs, tax rates, and dependents) change depending on the level of income and other factors, an individualized test is ideal in a taxation course.

The unique assignments allow instructors to create markedly different scenarios for each student. Using this testing method requires that the student thoroughly understands the conceptual processes as the questions cannot be predicted. A list of supplementary materials is included, covering sample questions, conversion to codes, and sample assignment questions.

This technique creates opportunities for students to have unique assignments encouraging student to student teaching and can be applied to assignments in any accounting course (undergraduate and graduate). This testing method has been used in Intermediate I and II, Individual Taxation, and Corporate Taxation.

Institutional ethnography (IE) is a sociology that focuses on the everyday world as problematic. As a theory/method of discovery, it focuses on how the work people do is organized and coordinated by text-mediated and text-regulated social organization. Actor-network Theory (ANT) is a theory/method that is concerned with how realities get enacted. ANT focuses on a multiplicity of human and nonhuman actors (e.g., computers, documents, and laboratory equipment) and how the relations between them are constituted and how they are made to hang together to create certain realities. In this chapter, we discuss some of the similarities and differences between IE and ANT. We begin with an overview of IE and ANT and focus on their ontological and epistemological “shifts.” We then discuss some of the similarities and differences between IE and ANT, particularly from an IE stance. In doing so, we put these approaches into dialog and allude to some of the potential benefits and pitfalls of combining these approaches.