Competitive judgments in a business simulation: A comparison between American and Chinese business students

A complex total business enterprise computer simulation was used as the setting for a study of judgments by Chinese and American business school students. The subjects were asked to make a series of decisions and give judgments about expected levels of competition for a new market opportunity in the simulation world. Decisions were compared across the groups based on the decision structure and content. The results confirm previous research as the American participants generated significantly more responses overall, and especially judgment-consistent responses than the Chinese participants. Analysis of the content of the decision representations found that the relative proportion of singular to distributional information in the responses was similar for both American and Chinese individuals when making decisions about their own teams, but the Chinese participants focused more heavily on distributional information when making judgments about the behavior of others. This implies that American and Chinese individuals focus on different aspects of similar information and this may influence subsequent judgments. © 1998 John Wiley & Sons, Inc.     

Multiple Stakeholder Judgments of Employee Behaviors: A Contingent Prototype Model of Dishonesty

This paper describes the moral judgments made by various stakeholders in determining whether an event, caused by an organizational employee, constitutes dishonesty. It models person-situation interaction effects of situations in organizational settings and persons making moral judgments to predict judgments of dishonesty. Using a prototype definition of dishonesty, the paper examines the effects of differences in four areas (the prototypicality of the act, the actor's motivation, the potential consequences, and the person judging the event) on the moral judgment of whether the event constitutes dishonesty. The implications for managers and researchers of the resulting contingent prototype model of dishonesty are discussed.     

The Impact of Personal Gains on Cognitive Dissonance for Business Ethics Judgments

When managers make business ethics judgments, the decisioninevitably has impact on them. Sometimes managers reluctantly putorganizational profit as their first priority and make decisions against personal values. Howmanagers are affected by their business ethics judgments has rarely been examined. The purposeof this paper is to explore such an issue.Cognitive dissonance experienced by managers after makingbusiness ethics judgments is studied in this paper. It is hypothesized that thedegree of cognitive dissonance experienced by managers after making business ethicsjudgment is contingent upon (1) the nature of the judgment (ethical or unethical); (2)the magnitude of personal gains involved in the situation; and (3) managers' moraldevelopment.Two hundred and thirty-eight managers who attendednon-degree graduate management classes offered by a university participated in thisstudy. A business ethics situation of unfair competition with different amount of personalgains was used in this study. First, participants were asked to make a business ethicsjudgment about one of the situations. After making the judgment, cognitive dissonance andmoral development were measured for the participants. The analysis revealed thatan interaction effect was found for the three hypothesized independent variables. Generally speaking, however, the degree of cognitive dissonance experienced by managers wassignificantly affected mainly by their moral development.     

Internet Multiattribute Group Decision Support in Electronic Commerce

The rapid growth of the Internet has provided the means for distributed organizational decision making for electronic commerce. Members of organizations can jointly investigate products, exchange information, and make decisions on-line from remote sites. Internet-based multiattribute group decision making is characterized by three aspects, (i) individual interactive decision making, (ii) communication means, and (iii) group consensus reaching. The purpose of this research was to study the role of communication and individual decision strategies and their influence on multiattribute group decision making and consensus reaching in organizational electronic commerce settings. The results of this study indicate that analytic decision support is indispensable in collaborative Internet-based decision making, that a perfect match of analytic decision support and communication channels must be achieved, and that efficiency of individual decision support should be compromised for higher confidence in the group's decisions. The results of this study also confirm findings by Häubl and Trifts (2000) that interactive decision analytic support has positive effects on the quality and efficiency of individual decision making, and findings by Limayem and DeSanctis (2000) and Todd and Benbesat (2000), that decision makers will use normative decision models if they require little effort and if decisional guidance is provided. The conclusion drawn from this study is that the continuously evolving Internet technology for collaborative decision making is only one aspect for better organizational decision making – the crucial aspect, however, will be the development and optimal integration of analytic decision models, communication channels, and consensus reaching mechanisms.     

Graduate students as surrogates for managers in experiments on business decision making

Most laboratory research in business has used graduate or undergraduate business students as subjects. These subjects have been assumed to be suitable surrogates for business managers and, therefore, the experimental results should be applicable to real businesses. This experiment compared the decision making of line managers no lower than second level with that of students with no managerial experience. The level of educational achievement was held constant between the two groups. There were no significant differences between these two groups in making production scheduling decisions.     

CSR politics of non‐recognition: Justification fallacies marginalising criticism,society, and environment

Business is frequently criticized for not taking social and environmental responsibility. Large companies respond with CSR activities and some also with formulating justifications for their actions. This could indicate that business opens up to the criticism. I do, however, not observe such openness in the current study, but how companies use “CSR justifications” to fend off criticism. While companies use justifications as tool for creating legitimacy, I distinguish five justification fallacies. These failures in dealing with criticism cause a marginalisation of criticism, society, and environment. The fallacies found are neglecting criticism, shareholder primacy, organisation‐centricity, conflict avoidance, and progressivism. I contribute to the use of Habermasian ethics in the business ethics literature by showing how CSR justifications could play a part in a rational discourse. The concept justification fallacy, and the five fallacies can provide a framework for analysing corporate rhetoric more generally. Managers have fundamental difficulties in handling ethics and do not reflect on their reasons for working with CSR. They should be more careful when formulating justifications. In our situation of increasing affective polarisation, business needs to be more constructive than merely to marginalise criticism.     

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.     

Harnessing the wisdom of crowds: Decision spaces for prediction markets

The increased metabolism of business in the modern world has served to heighten both the frequency and the difficulty of organizational decision making. Practitioners and academics are constantly looking for decision-making mechanisms that can be used to address these challenges. One recently emerged mechanism is prediction markets: a group decision-making tool that uses a market mechanism to rapidly aggregate information held by large, diverse groups of participants. Prediction markets have a number of benefits and have been demonstrably successful in a number of contexts; however, it is important to recognize that they are suited to some types of decisions and contexts but not to others. This article examines the benefits of prediction markets and develops a framework that can be used to identify in which situations prediction markets can be profitably deployed within organizations. It also provides a roadmap for practitioners to use to guide their own organizational deployment of prediction markets.     

Business Ethics in Turkey: An Empirical Investigation with Special Emphasis on Gender

In today's complex business world, the question of business ethics is increasingly gaining importance as managers and employees face numerous ethical dilemmas in their jobs. The ethical climate in the Turkish business environment is also at a critical stage, and the business community as a whole is troubled by ethical problems. This study attempts to determine the effect of individual, managerial and organizational factors on the ethical judgments of Turkish managers, and to evaluate the ethical perceptions of these managers. The findings of this study reveal that the ethics score, the measure of ethical judgment, of Turkish managers differs significantly only with respect to gender and that female managers have higher ethics score than male managers. Other individual, managerial and organizational factors considered in this study do not have any significant effect on the ethical judgments of the managers. A comparative analysis between female and male managers in terms of their ranking of the eleven ethical business scenarios, ranking of the sixteen unethical acts, ranking of the factors influencing managers to engage in unethical practices, and ranking of the various parties to whom a company is socially responsible enables the researchers to enlighten the subject of business ethics in Turkey.     

Technology and Group Decision Process in Going-Concern Judgements

Accounting and auditing practices are continually being affected by advances in technology. This study empirically examined the effect of group decision processes and technological advances on group going-concern decision making. Groups with access to group decision support systems (GDSS) were compared to groups without access to GDSS for their going-concern judgments. The results show group discussion induced auditors to be more conservative and to consider factors which may have overlooked at the individual level, though neither structure significantly reduced the considerable variance in the individual going-concern judgments. Further, as compared to their counterparts in the face-to-face discussion groups, GDSS groups indicated much higher confidence in their group's final assessment of the client's going-concern status and a higher level of satisfaction and agreement with the group decision processes. The findings suggest that while group discussions did not significantly reduce auditors' considerable variance in going-concern judgments, future research should investigate which explicit models would improve the consensus on going-concern evaluations.     

Anger Strays,Fear Refrains: The Differential Effect of Negative Emotions on Consumers’ Ethical Judgments

Although various factors have been studied for their influence on consumers’ ethical judgments, the role of incidental emotions has received relatively less attention. Recent research in consumer behavior has focused on studying the effect of specific incidental emotions on various aspects of consumer decision making. This paper investigates the effect of two negative, incidental emotional states of anger and fear on ethical judgment in a consumer context using a passive unethical behavior scenario (i.e., too much change received). The paper presents two experimental studies. Study 1 focuses on the interaction of moral intensity (amount of change) and incidental emotion state in predicting the ethical judgment while study 2 investigates the underlying causal mechanism behind the process, using a mediation analysis. The results reveal a significant interaction between moral intensity and incidental emotion. Specifically, individuals in the state of incidental fear exhibit higher levels of ethical judgment as the moral intensity increases as compared to individuals in the state of incidental anger. Further, perceived control is found to mediate the relationship between emotional state and ethical judgment under higher moral intensity condition.     

Individual and Small Group Accuracy in Judging Truthful and Deceptive Communication

We examined accuracy in detecting the truths and lies of 10 videotaped students who offered their opinions on the death penalty or smoking in public. Student lie detectors were randomly assigned to either the individual condition, where they reported their veracity judgments and confidence independently, or the small group condition, where they recorded their judgments privately and then deliberated with 5 other students before making a consensus judgment of lie, truth, or hung. Results indicated that small group judgments were more accurate than individual judgments when judging deceptive but not truthful communication. Small group individuals also reported greater confidence in their abilities after the task. Finally, groups with a greater number of hung judgments were more accurate, likely due to their employing hung judgments for the most difficult to judge stimulus communicators. These results raise implications for real life group judgments, particularly in light of the increasing availability of technology.     

DEBIASING STRATEGIES IN SUPPLY MANAGEMENT DECISION‐MAKING

Human judgment and decision making under uncertainty are vulnerable to decision biases leading to deviations from the standard assumptions of the rational paradigm in economics. This fact is currently not widely reflected by research on decision making in sourcing contexts. However, supply managers are aware of the judgment and decision challenges that result from existing and increasing levels of uncertainty in the external, upstream supply chain, and deploy decision supporting strategies for debiasing their judgments. The analysis of supply management decisions using 441 data units from 133 embedded cases from 15 buying organizations revealed high levels of such debiasing strategies. However, the seemingly most effective mitigation strategy recommended in the general debiasing literature ‐ creating awareness of the underlying mechanics causing decision biases ‐ was only employed by one buying organization, indicating a need to further investigate debiasing strategies specifically in supply management contexts.     

Ethical Judgments in Business Ethics Research: Definition,and Research Agenda

Decades of empirical and theoretical research has produced an extensive literature on the ethical judgments construct. Given its importance to understanding people’s ethical choices, future research should explore the psychological processes that produce ethical judgments. In this paper, the authors discuss two steps needed to advance this effort. First, they note that the business ethics literature lacks a single, generally accepted definition of ethical judgments. After reviewing several extant definitions, the authors offer a definition of the construct and discuss its advantages. Second, future ethical judgment research would benefit from greater integration between theories of ethical decision making and theories of social cognition. Drawing upon the Hunt–Vitell (Journal of Macromarketing 6(Spring), 5–15, 1986; In: N. C. Smith and J. A. Quelch (eds.), Ethics in Marketing. Irwin, Homewood, IL, pp. 775–784, 1992) model and the heuristic-systematic model (Chaiken, Journal of Personality and Social Psychology 39(November), 752–766, 1980), the authors present a brief research agenda intended to stimulate research on the psychological processes behind ethical judgments.     

The effects of professional education on values and the resolution of ethical dilemmas: Business school vs. law school students

Prior research on the impact of ethics education within the business curriculum has yielded mixed results. Although the impact is often found to be positive, it appears to be both small and short-lived. Interpretation of these results, however, is subject to important methodological limitations. The present research employed a longitudinal methodology to evaluate the impact of an M.B.A. program versus a law program on the values and ethical decision making behavior of a cohort of students at two major universities in the northeast. The results suggest that the M.B.A. curriculum remains a value-neutral experience for most students. In contrast, the law school program had a significant impact on both values and ethical decision making.Donald L. McCabe is Associate Professor of Management at the Graduate School of Management, Rutgers — The State University of New Jersey. His research focuses on ethical decision making, interpretive processes under conditions of uncertainty, and issues of student values and ethics.Janet M. Dukerich is an Associate Professor of Management at the University of Texas at Austin. Her research focuses on individual and group decision making and interpretation processes in organizations.Jane E. Dutton is Associate Professor of Organizational Behavior and Human Resource Management at the University of Michigan. Her research interests center on organizational adaptation processes, and in particular, organizational responses to value-laden issues.     

Using Behavioral Experiments to Expand Our Horizons and Deepen Our Understanding of Logistics and Supply Chain Decision Making

As logistics and supply chain managers face increasingly complex challenges, there is a critical need to better understand the nuances of decision making in today’s global business environment. However, the systematic effect of behavioral biases and cognitive limits on managerial judgment and decision making in our discipline has not received much attention to date. Behavioral experiments represent a potentially valuable and currently underutilized approach for gaining insight into logistics and supply chain decision making that is commonly characterized by departures from rational thought. This article challenges logistics and supply chain researchers to consider the opportunities and realities associated with using behavioral experiments in pursuit of knowledge in this area.     

Toward an Understanding of Dynamic Moral Decision Making: Model-Free and Model-Based Learning

In business settings, decision makers facing moral issues often experience the challenges of continuous changes. This dynamic process has been less examined in previous literature on moral decision making. We borrow theories on learning strategies and computational models from decision neuroscience to explain the updating and learning mechanisms underlying moral decision processes. Specifically, we present two main learning strategies: model-free learning, wherein the values of choices are updated in a trial-and-error fashion sustaining the formation of habits and model-based learning, wherein the brain updates more general cognitive maps and associations, thus sustaining flexible and state-dependent behaviors. We then summarize studies explaining the neuro-computational processes of both learning strategies—the calculation of prediction errors and valuation. We conclude by emphasizing how the incorporation of dynamic aspects in moral decision making could open new avenues for understanding moral behaviors in a changing world.     

Quick decisions tend to reinforce self‐interest choices among MBA students: The direct and moderating effects of temporal constraint and situational factors in ethical decision making

Employees face increasingly time‐pressured operational environments. Using theory from Reynolds' ( 2006 ) neurocognitive model of ethical decision making, we explore how temporal constraint, consequence framing, and organizational norms affect self‐interested decision making in business. Conducting three experimental manipulations with a sample of MBA students, we found the following: First, consistent with previous studies, high time pressure promotes self‐interested intentions. Second, unethical framing encourages self‐interested intentions, though this relationship is unaffected by the presence of time pressure. Third, unethical organizational norms encourage group‐interested intentions. Lastly, however, when these same norms are experienced under high time pressure, individuals display self‐interested intentions. Copyright © 2016 ASAC. Published by John Wiley & Sons, Ltd.     

Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making

Artificial intelligence (AI) has penetrated many organizational processes, resulting in a growing fear that smart machines will soon replace many humans in decision making. To provide a more proactive and pragmatic perspective, this article highlights the complementarity of humans and AI and examines how each can bring their own strength in organizational decision-making processes typically characterized by uncertainty, complexity, and equivocality. With a greater computational information processing capacity and an analytical approach, AI can extend humans’ cognition when addressing complexity, whereas humans can still offer a more holistic, intuitive approach in dealing with uncertainty and equivocality in organizational decision making. This premise mirrors the idea of intelligence augmentation, which states that AI systems should be designed with the intention of augmenting, not replacing, human contributions.