Corporate Identity,Ethics and Reputation in Supplier–Buyer Relationships

Multi-national corporations (MNCs) have been criticised for not behaving ethically in some situations, which could have a negative effect on their reputation. This study examines the ethics of a large MNC in its relationship with its suppliers. A brief literature review of corporate identity, business ethics and buyer–supplier relationships is undertaken. The views and perceptions of the buying staff and the suppliers to a large South African MNC are obtained and discussed. The results indicate that this MNC has a good corporate reputation among both its suppliers (an important stakeholder) and its own buying department. The existence and implementation of formal codes of ethics was found to be a necessary, but not sufficient condition for good ethical practice. Candid relationships with suppliers emerged as a second and important factor. Ethical perceptions of buyers by suppliers are driven by the management of corporate identity, through the elements of ethical standards and candid relationships. We present a model of corporate identity/reputation in Buyer–Supplier Relationships. Michael Bendixen is a Professor of Research Methodology and Statistics at the H. Wayne Huizenga School of Business at Nova Southeastern University, Florida. His research interests include business ethics, governance and culture. His articles have appeared in the European Journal of Marketing, Industrial Marketing Management, Journal of Business Research, Journal of International Business Studies and Journal of Marketing Management amongst others. Russell Abratt is a Professor of Marketing at the H. Wayne Huizenga School of Business at Nova Southeastern University, Florida. His research interests include corporate identity management and business ethics. His articles have appeared in the Journal of Business Ethics, Journal of Business and Psychology, European Journal of Marketing, Journal of Marketing Management, Industrial Marketing Management, and Business Horizons amongst others.     

A continuous time approach to the pricing of bonds

This paper develops an arbitrage model of the term structure of interest rates based on the assumptions that the whole term structure at any point in time may be expressed as a function of the yields on the longest and shortest maturity default free instruments and that these two yields follow a Gauss-Wiener process. Arbitrage arguments are used to derive a partial differential equation which must be satisfied by the values of all default free bonds. The joint stochastic process for the two yields is estimated using Canadian data and the model is used to price a sample of Government of Canada bonds.     

FROM EXPERIENCE: Balancing the Product Development Process: Achieving Product and Cycle-Time Excellence in High-Technology Industries

Most companies' product development process (PDP) is inefficient and slow. Consequently, products are often late-to-market, over cost and not well-aligned with customer's needs. Because it involves all levels of the organization and crosses all functional boundaries, the PDP is very difficult to control. Unbalanced control is at the root of many of the symptoms of a troubled PDP. Michael T. Anthony and Jonathan McKay investigate the four primary unbalanced PDP behaviors exhibited by organizations and present four balancing mechanisms to correct these flaws. In their view, a balanced PDP contains a structured development methodology and project reviews at specific, high-impact points that involves top management appropriately while still allowing empowerment of the project teams.     

THE DISTRIBUTION OF PUBLIC EXPENDITURE AMONG HOUSEHOLDS IN THE UNITED STATES*

This paper presents an analysis of the distributive impact of government expenditures in the United States. The analysis uses a household-level microdata file drawn from the 1970 U.S. Census of Population, with additional income and tax variables drawn from the Internal Revenue Service 1969—70 Tax File. The results are presented at both federal and local levels and include analyses of the distribution of individual benefits, as well as of overall taxes and net benefits. Since a microdata file was used, distributional effects are examined with respect not only to the “traditional” variables of income class and household size, but also with regard to the number of earners in the household and the sex and race of the household head. In a further paper in a subsequent issue of this review we will present the results of a similar analysis for the United Kingdom, and compare the results for the two countries.     

The impact of misrepresentative data patterns on sales forecasting accuracy

The development of a sales forecasting system involves three major steps. The first step is to obtain prior sales data and to identify the model that will best forecast the patterns that exist in the data. The second step is to estimate parameter values for the selected model by analyzing the prior sales data. The third step is to test the accuracy of the model by use of the prior sales data. Each of the steps requires use of prior data. In all three steps, there is a basic assumption that the past data represent some underlying process that can be identified and modeled. In some cases the past data may not represent the underlying process, and the forecasting process is seriously distorted. Some frequent causes of distorted data are 1) accounting methods that are used to record or collect the data, 2) marketing tactics such as promotions which that create outliers, 3) limits on production capacity that cause stockouts. This paper looks at events and actions that may distort data used for sales forecasting and at the resulting impact the events and actions may have on forecasting accuracy.