A Review of Empirical Studies Assessing Ethical Decision Making in Business

This article summarizes the multitude of empirical studies that test ethical decision making in business and suggests additional research necessary to further theory in this area. The studies are categorized and related to current theoretical ethical decision making models. The studies are related to awareness, individual and organizational factors, intent, and the role of moral intensity in ethical decision making. Summary tables provide a quick reference for the sample, findings, and publication outlet. This review provides insights for understanding organizational ethical decision constructs, where ethical decision making theory currently stands, and provides insights for future empirical work on organizational ethical decision making.     

Openness and total factor productivity in Swedish manufacturing, 1980–1995

Openness and Total Factor Productivity in Swedish Manufacturing, 1980–1995. — This paper studies the effect of openness on total factor productivity (TFP) growth. Using industry-level data for Swedish manufacturing from 1980 to 1995, the paper shows that integrated industries tend to be more engaged in R&D and have more entry and exit activity than other industries. The results show that domestic R&D intensity does not contribute to the TFP growth rate. Instead, openness to international markets, which helps facilitate technology spillovers, is an important factor. There is also some evidence that producers exiting the market are less productive, implying that such exits will increase the average productivity of the industry.     

The effect of framing and negotiation partner’s objective on judgments about negotiated transfer prices

A common approach to set transfer prices is via intra-firm negotiation. However, Luft and Libby [Luft, J. L., & Libby, R. (1997). Profit comparisons, market prices and managers’ judgments about negotiated transfer prices. The Accounting Review, 72(2), 217–229] found that because of the existence of self-serving biases, negotiating managers have different expectations regarding what constitutes a ‘fair’ transfer price, leading to a less efficient negotiation process. In this study, we examine two factors that are expected to affect managers’ transfer price negotiation judgments, namely, framing as a gain or as a loss and the negotiation partner’s objective (whether the partner’s objective involves high or low concern-for-others). We propose that these two factors affect managers’ perceptions of the negotiation context, and thus the way they interpret the economic and social consequences of accounting information. Our results show that a loss frame (compared to a gain frame) exacerbates managers’ self-serving biases and increases the ‘transfer price expectation gap’ between buyers and sellers. Further, in our experiment where market price is higher than equal-profit price, we find that managers’ transfer price expectations are lower (and deviate more from the prevailing market price) when they are negotiating with a partner with high concern-for-others than with a partner with low concern-for-others. We discuss the broader implications of these results for the design of management accounting systems.     

A case-control comparison of direct healthcare-provider medical costs of chronic idiopathic constipation and irritable bowel syndrome with constipation in a community-based cohort

Objective: Patients with constipation account for 3.1 million US physician visits a year, but care costs for patients with irritable bowel syndrome with constipation (IBS-C) or chronic idiopathic constipation (CIC) compared to the general public have received little study. The study aim was to describe healthcare utilization and compare medical costs for patients with IBS-C or CIC vs matched controls from a community-based sample.

Methods: A nested case-control sample (IBS-C and CIC cases) and matched controls (1:2) for each case group were selected from Olmsted County, MN, individuals responding to a community-based survey of gastrointestinal symptoms (2008) who received healthcare from a participating Rochester Epidemiology Project (REP) provider. Using REP healthcare utilization data, unadjusted and adjusted standardized costs were compared for the 2- and 10-year periods prior to the survey for 115 IBS-C patients and 230 controls and 365 CIC patients and 730 controls. Two time periods were chosen as these conditions are episodic, but long-term.

Results: Outpatient costs for IBS-C ($6,800) and CIC ($6,284) patients over a 2-year period prior to the survey were significantly higher than controls ($4,242 and $5,254, respectively) after adjusting for co-morbidities, age, and sex. IBS-C outpatient costs ($25,448) and emergency room costs ($6,892) were significantly higher than controls ($21,024 and $3,962, respectively) for the 10-year period prior. Unadjusted data analyses of cases compared to controls demonstrated significantly higher imaging costs for IBS-C cases and procedure costs for CIC cases over the 10-year period.

Limitations: Data were collected from a random community sample primarily receiving care from a limited number of providers in that area.

Conclusions: Patients with IBS-C and CIC had significantly higher outpatient costs for the 2-year period compared with controls. IBS-C patients also had higher ER costs than the general population.     

How New Product Introductions Affect Sales Management Strategy: The Impact of Type of "Newness" of the New Product

How do firms adjust sales management strategy for new product launch? Does sales management strategy change more radically for different types of new products such as new‐to‐the‐world products versus product revisions? Because firms introducing a new product rely considerably on their sales force in the product launch effort, the types and degree of changes made in managing the selling effort are important issues. Past studies have demonstrated that firms make substantial adjustments in their sales management strategy when they introduce a new product. This study expands on previous investigations by examining whether sales management strategy changes are conditioned by the type of newness of the new product to the market and to the firm. Australian sales managers were asked to respond to a mail questionnaire concerning pre‐ and post‐new product launch sales management activities. Three groups of firms were compared: (1) those with new‐to‐the‐market and new‐to‐the‐firm products (i.e., new‐to‐the‐world products); (2) those with products new to the firm but not new to the market; and (3) those with products that are revisions to the firm and not new to the market. The study finds that firms do not make the most adjustments for products with the greatest degree of market newness—the new‐to‐the‐world types of products—except in the sales management strategy categories of compensation and supervision. In the other sales management strategy categories defined for study—organization, training, quotas and goals, and sales support as well as for all categories in the aggregate—sales management strategy changes were greatest in incidence, as measured both by the percent of firms making changes and the average number of changes per firm, when the new product was new to the firm but not new to the market. These results suggest that, because different types of new products face different competitive environments, there may be greater incentive for a not‐new‐to‐the‐market new‐to‐the‐firm product to make changes in sales strategy. Uncertainties about market size and customer location with new‐to‐the‐world products may limit the understanding of what changes to make in the strategy categories of quotas and territories. Similarly, uncertainties about product use and customer acceptance of new‐to‐the‐world products may limit the development of training and sales support materials by these firms. Instead, these firms may rely more on compensation and supervision to direct sales efforts for new‐to‐the‐world products. However, observing the market experience and performance of the first‐to‐market product can benefit firms launching a not‐new‐to‐market and new‐to‐the‐firm product, allowing them to rely more on strategy changes in training, sales support materials, organizational adjustments such as redeployments, and quotas.     

Assessing Consumer Fraud Risk in Insurance Claims

Abstract

We present an unsupervised learning method for classifying consumer insurance claims according to their suspiciousness of fraud versus nonfraud. The predictor variables contained within a claim file that are used in this analysis can be binary, ordinal categorical, or continuous variates. They are constructed such that the ordinal position of the response to the predictor variable bears a monotonic relationship with the fraud suspicion of the claim. Thus, although no individual variable is of itself assumed to be determinative of fraud, each of the individual variables gives a “hint” or indication as to the suspiciousness of fraud for the overall claim file. The presented method statistically concatenates the totality of these “hints” to make an overall assessment of the ranking of fraud risk for the claim files without using any a priori fraud-classified or -labeled subset of data. We first present a scoring method for the predictor variables that puts all the variables (whether binary “red flag indicators,” ordinal categorical variables with different categories of possible response values, or continuous variables) onto a common –1 to 1 scale for comparison and further use. This allows us to aggregate variables with disparate numbers of potential values. We next show how to concatenate the individual variables and obtain a measure of variable worth for fraud detection, and then how to obtain an overall holistic claim file suspicion value capable of being used to rank the claim files for determining which claims to pay and the order in which to investigate claims further for fraud. The proposed method provides three useful outputs not usually available with other unsupervised methods: (1) an ordinal measure of overall claim file fraud suspicion level, (2) a measure of the importance of each individual predictor variable in determining the overall suspicion levels of claims, and (3) a classification function capable of being applied to existing claims as well as new incoming claims. The overall claim file score is also available to be correlated with exogenous variables such as claimant demographics or highvolume physician or lawyer involvement. We illustrate that the incorporation of continuous variables in their continuous form helps classification and that the method has internal and external validity via empirical analysis of real data sets. A detailed application to automobile bodily injury fraud detection is presented.     

The Effects of Disclosure and Analyst Regulations on the Relevance of Analyst Characteristics for Explaining Analyst Forecast Accuracy

We posit and find an effect of disclosure and analyst reporting regulations implemented from 2000 through 2003 (including Regulation Fair Disclosure, the Sarbanes‐Oxley Act and the Global Settlement Act) on the importance of analyst and forecast characteristics for analyst forecast accuracy. Following the enactment of these regulations, more experienced analysts and All‐Star analysts do not maintain their superior forecast accuracy, and analysts employed by large brokerage houses perform worse than other analysts. In addition, we find a decrease in the importance of analyst effort, the number of industries and firms followed, days elapsed since the last forecast, and forecast horizon. While the importance of bold upward forecast revisions does not change, bold downward revisions lose their relevance for forecast accuracy after 2003. Finally, we find an increase in the importance of prior forecast accuracy. We find that the importance of these characteristics varies with the precision of publicly available information. Specifically, the decrease in the importance of most analyst and forecast characteristics and the increase in the importance of prior forecast accuracy are greater when the precision of publicly available information is low. Overall, our results suggest that the positive effects of experience, effort, brokerage house size and All‐Star status on forecast accuracy in the pre‐regulation period were because of the information advantages that these analysts enjoyed (rather than their ability to generate private information). In contrast, our results suggest that prior forecast accuracy is related to analysts’ ability to generate private information.     

A technical approach to equity investing in emerging markets

Technical analysis (TA) is used in evaluating its predictive power for the Morgan Stanley Capital International (MSCI) Emerging Market Index (EMI) that reflects 23 emerging market economies’ equity indices. We conclude strong predictive power of technical analysis for the EMI. Given this predictive power of TA, we then investigate whether investors can exploit this predictive power to beat the profitability of the Buy‐and‐Hold strategy considering both risk and transaction costs. Applying Moving Average, Relative Strength Index, Moving Average Convergence Divergence, and Rate of Change trading rules to the MSCI Emerging Market Index over the period of 11/1/1988 to 5/1/2017 reveals strong empirical evidence that investors could use TA to out‐perform the Buy‐and‐Hold strategy even when considering risk and transaction costs. This research provides evidence against the Efficient Market Hypothesis for EMI.