Factors that affect accountant's perceptions of alternative work arrangements

Advances in technology have impacted accounting careers with resulting changes in where, when and how accountants perform their job duties. In addition, employee attitudes towards, and need for, better work/life balance has led to more firms offering alternate work arrangements (AWA). Research suggests that AWA programs can lead to many benefits for both employers and employees. Despite the prevalence of these programs there are relatively few accountants working under these arrangements and concerns about work/life balance continue. This study examines factors that shape perceptions of the cost and benefits associated with the adoption and/or support of AWAs across work culture, gender and participation experience. Our results suggest that work environment had a significant effect on perceptions of AWAs. Public accountants perceived greater costs related to career advancement but correspondingly less concern about administrative issues than management accountants. We also found that accountants who have participated (or are currently participating in an AWA), perceived greater benefits and less concern for potential negative consequences to their careers than non-participants. Finally, women perceived greater benefits to result from participation in an AWA and men perceived correspondingly more costs. Regardless, both genders perceived that AWAs were not strictly a women's issue. These findings contribute to our understanding of alternate work arrangements and point to factors that must be addressed to increase the acceptance and success of these programs.     

HEDGING INTEREST RATE RISK UNDER TERM STRUCTURE EFFECTS: AN APPLICATION TO FINANCIAL INSTITUTIONS

In this paper we investigate the use of the structured full rank model for hedging the balance sheet of a financial institution. Simulation results suggest that the optimal hedge is insensitive to changes in parameter estimates. In addition, we hedge a portfolio of Treasury bills using both the full information covariance matrix and the structured covariance matrix. We then contrast these results with those obtained from a duration-based model. Empirical results suggest that the structured full rank model is generally more effective in hedging applications than either the full information model or duration-based model.     

Drug testing in the transportation industry: The maritime case

The maritime industry provides an interesting case study of the design and implementation of drug-testing programs in the transportation industry during the 1980s. It is clear that such programs were designed and implemented less because of empirical evidence of safety problems than for political reasons. The results in the maritime industry are indicative of a program that is expensive to operate, intrusive with regard to employee privacy, and which will have little or no impact on safety. Focusing such programs on the issue of impairment rather than on the issue of drug usage per se is likely to improve the outcome of the programs. Although, despite common belief, there is little evidence that drug usage or the “drug problem” in U.S. society as a whole had gotten worse in the preceding years (Schonsheck, 1989, 250–251).     

From Experience: Avoiding Marketing's Best-Of-The-Best Specification Trap

Too often companies fall into a trap when developing a list of performance specifications for a new product. Milton Rosenau calls this the best-of-the-best specification trap. The problem arises whenever a company bases a specification on the combination of the best single features observed in available competitive products. When this happens, the new product's design is driven by competition and is not derived from a unique market insight. This may not provide the basis for a sustainable advantage. Sometimes, rumors of competitive improvements may even lead to sudden changes in the specification, creating delays in the development process. A far better goal is to develop a specification that responds to an unrecognized and unfilled user need, one that adds high value to users. His points are illustrated with several examples.