Measuring the relative importances of social responsibility components: A decision modeling approach

In this study, a decision modeling approach is used to measure the relative importances of four social responsibility components. When given information concerning the economic, legal, ethical and philanthropic activities of 16 hypothetical organizations, 159 junior and senior management students judged the social responsibility of these firms. The study used two types of analysis: first, a within-subject regression, then a between-subject ANOVA. Results showed ethical behavior to be most important in judging social responsibility; legal behavior was second, discretionary behavior third, and economic behavior was least important. In addition, all but one rater consistently applied the social responsibility components. The implications of these results and suggestions for future research are discussed. Barbara A. Spencer is Assistant Professor of Management at Clemson University. Her current research interests include strategic management, social issues, and business ethics. She has published several articles on corporate social responsibility. John K. Butler is Associate Professor of Organizational Behavior at Clemson University. He has published articles on job satisfaction, trust, group processes, political representation, and research methods in academic journals and proceedings.     

A conceptual framework of anonymity in Group Support Systems

As the development and use of automated systems for collaborative work grows, the need for a better understanding of these systems becomes more important. Our focus is on one type of system, a Group Support System (GSS) and, in particular, on one important aspect of a GSS—anonymity. A conceptual framework for the study of anonymity in a GSS is presented, which describes the general classes of variables and their relationships. These variables include the factors that influence anonymity in a GSS, types of anonymity, and the effects of anonymity on a message sender, receiver, group process, and outcome. Each of these variables is discussed with working propositions presented for important group process and outcome measures. The objectives of this article are to highlight the importance and complexity of anonymity, to act as a guide for empirical investigations of anonymity, and to influence future GSS development and use.     

Répercussions de la Pension Protection Act de 2006 sur la valeur boursière

Les auteurs étudient les répercussions de la Pension Protection Act de 2006 (PPA 2006) sur la valeur boursière des actions. La PPA 2006 contient deux dispositions principales : 1) les entreprises doivent assurer la capitalisation intégrale de leur régime de retraite en sept ans (alors qu’une période de trente ans leur était auparavant accordée pour capitaliser 90 pour cent de leur passif au titre du régime) et 2) elles peuvent se prévaloir d’une déduction fiscale à l’égard des cotisations à concurrence de 150 pour cent du passif au titre du régime (alors que le plafond de la déduction était antérieurement de 100 pour cent). Une fois contrôlés l’incidence de la norme SFAS 158, les possibilités de croissance, le coût du financement externe et les autres informations publiées au cours de la période d’échantillonnage, les auteurs examinent les rendements anormaux des entreprises ayant un régime de retraite, à proximité des dates marquantes du processus législatif ayant menéà l’adoption de la PPA 2006. Premièrement, ils observent un rendement anormal moyen négatif de – 4,20 pour la période au cours de laquelle la PPA 2006 a fait l’objet d’un premier vote au Congrès. La capitalisation boursière de l’entreprise moyenne (médiane) de l’échantillon a enregistré un déclin de 310 millions de dollars (60 millions de dollars). Deuxièmement, les auteurs constatent que les répercussions sur la valeur boursière sont plus négatives dans le cas des entreprises présentant des passifs non capitalisés plus importants au titre du régime et devant faire face à des dépenses en immobilisations plus substantielles, alors que les entreprises dont les taux d’imposition marginaux sont plus élevés enregistrent des répercussions positives. Troisièmement, les auteurs ne relèvent aucun élément permettant d’affirmer que les répercussions sur la valeur boursière varient selon les différentes catégories de risque définies par la PPA 2006. Enfin, ils recensent un nombre appréciable de cas de blocage du régime au cours de la période soumise à l’étude. Les résultats sont plus marqués encore lorsque ces entreprises sont retirées de l’échantillon.     

Information processing and innovative choice

In this paper we examine how the information processing of subjects who make an innovative choice (innovators) differs from that of subjects who make a noninnovative choice (noninnovators). The task involves selection of an alternative within a range of prerated product category innovativeness. We propose that subjects who seek 1) impersonal/uncontrollable sources, 2) higher levels of information, 3) more detailed (versus summary) data, and 4) noncomparative (versus comparative) data are more likely to make innovative choices. The research method is a computerized process tracing experiment utilizing Search Monitor (Brucks 1988).The authors wish to express their gratitude to Merrie Brucks for the use of and help with Search Monitor and to Eric Johnson, Dave Schmittlein, and Mita Sujan for helpful comments on an earlier version of this paper.     

Are Art Auction Estimates Biased?

This article considers whether presale auction estimates are unbiased predictors of price when “no‐sales” are considered utilizing a newly constructed sample of over 500 works by eight early twentieth‐century American artists. Unbiased presale auction estimates in predicting price, while expected, are generally not supported in previous work, but these studies (excepting one) do not include no‐sales in the calculations. In order to study the question, we employ a standard approach that uses an inverse Mills ratio arising from a sample selection probit to correct for selection bias. We find that controlling for selection bias, presale auction estimates appear to be biased downward, and we offer possible reasons for this result.