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Compensation specialists made two survey-sample decisions in a simulated wage survey. Policy-capturing analyses indicated that most specialists relied extensively on two of the available cues and consistently applied that policy across judgments. They were not able to accurately estimate their own decision-making policies, as demonstrated by the fact that rationally generated assessments of cue importance were significantly different from their actual policies. Finally, meta-analyses demonstrated that the variation in policies across decision makers could not be attributed to statistical artifacts or any moderators (e.g., salary-survey experience or industry) associated with the demographic data. Thus, different compensation specialists are likely to select a different sample of employers even for the same wage survey. Implications for the relevance of market wages obtained from surveys are discussed. (Reprinted by permission of the publisher.)

The influence of farmers' neighbors on the use of new technology is investigated using an estimation model that allows neighbors to interact. Results show that the use of a tool by one farmer will likely influence the use of a neighbor of the sameimplement. Thus, it can be concluded that neighbors significantly influence a person's decision-making regarding technology and ignoring this factor may leadto biases in consumer behavior studies.

Joseph Schumpeter's and Frank Knight's theories on political and economic decision-making are analyzed to show a difference in the theorists' perceptions on rationality. The comparative analysis indicated that individual rationality is affected by institutional changes and that the perception development process has significant bearing on decisions. These suggest that information processing and decision-making are not independent of other factors. The theories should be a major part of future studies on individual decisions to effect positive economic and political changes.

The study examines market turbulence caused by core business decisions in competing niche markets. The automotive leasing niche market is presented and findings show how strategic choices can lead to financial losses and niche market exit. Other details on the study are presented.

Byline: P. Sunil Dharmapala Data Envelopment Analysis (DEA) has been used in many studies to measure the efficiency of supply chains. There, the authors primarily utilised the traditional Charnes-Cooper-Rhodes (CCR) or Banker-Charnes-Cooper (BCC) model to measure the relative performance of decision-making units in the supply chain. In this paper, we focus on the impact of 'non-uniquely inefficient' supply units on the operational efficiency of the supply chain. By analysing suppliers' data already published in the literature, we assert that the existence of such units could (mis)lead the management to make an unrealistic decision that may adversely affect the overall efficiency of the supply chain.

A two-stage study on the impact of strategic decision-making process dimensions on strategic decision effectiveness reveals that both rational and political processes appear to have more influence on strategic decision effectiveness than intuition.

The article examines the impact of board members' decision making on corporate governance.

The article examines the impact of decision making of stakeholders on corporate culture.

The role of a qualitative approach to the examination of complex capital investment projects is demonstrated. The affects of risk and uncertainty on the de cision-making process and the current quantitative decision-making tools in accounting in complex capital projects are discussed.

Throughout 93 percent of the range of uncertainty, uncertainty has a negative effect on entry, implying that the option to defer dominates growth options in most contexts. The influence of industry uncertainty on the decision by established firms to enter a new industry is discussed.

The impact of entrepreneurial decision making, on business success of firms of developing countries in international markets, is examined.

The effect of semantic information on episodic source decisions is examined. A robust schema-related response bias in source monitoring was demonstrated and it was further observed that when schemas were present only during retrieval, the response bias was more likely to occur.

Managers take more risk in decision making in a loss situation than in a profit situation.

Decision-making deficits exhibited by people with brain damage, psychopathology, antisocial personality or drug abuse problems are examined by using the Bechara simulated gambling task method.

Redish et al. rely too much on a rational and innate view of decision-making, when their emphasis on variation, their integrative spirit, and their neuroscientific insights point towards a broader view of why addiction is such a tenacious problem. The integration of subjective, sociocultural, and evolutionary factors with cognitive neuroscience advances our understanding of addiction and decision-making.

The framework for addiction offered by the target article can perhaps be simplified into fewer, more basic, vulnerabilities. 'Impulsivity' covers a number of vulnerabilities, not just enhanced delay discounting. Real-world drug-use decisions involve both delay and probability discounting. The motivational salience of, and attentional bias for, drug cues may be related to a number of vulnerabilities. Interactions among vulnerabilities are of significance and complicate the application of this framework.

Neuroscientists and psychologists have proposed a variety of well-supported theories to explain addiction. Many of these theories suggest that addiction results from a single process or dysfunction across all of its forms. The authors of the current review, in contrast, have used a well-defined theoretical account of decision-making to outline the variety of dysfunctions that could account for addictive behavior.