Strategies to prevent economic recessions from causing business failure

An average of more than 500,000 businesses failed in the United States during each of the 10 recessions that have occurred since the end of World War II. Yet, scholar and practitioner understanding of how to prepare for and respond to the challenges of an economic downturn remains extremely limited. This article analyzes and synthesizes the information from academic theory and business experience on managing through an economic recession. To assist firms in successfully navigating economic recessions, we suggest a program that involves positioning by investing in multiple markets and geographies, planning by developing a turnaround plan for facing sharply declining sales, promoting by maintaining marketing initiatives, and preparing by acting in anticipation of economic recovery.     

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.     

Aligning employees through “line of sight”

Aligning employees with the firm's larger strategic goals is critical if organizations hope to manage their human capital effectively and ultimately attain strategic success. An important component of attaining and sustaining this alignment is for employees to have a “line of sight” (LOS) with their organization's strategic objectives. In this article, we illustrate how the translation of calculated firm goals into tangible results requires that employees not only understand the organization's strategy, but also accurately appreciate what actions are aligned with realizing that strategy. Using recent empirical evidence, theoretical insights, and tangible examples of exemplary firm practices, we provide thought-leaders with a comprehensive view of LOS by showing how it can be created, how it can be enhanced or stifled, and how it can be effectively managed. Further, we integrate LOS with current thinking on employee alignment to help managers more effectively benefit from understanding human capital potential.     

Border tax adjustments and U.S. trade

This paper reports welfare and terms of trade effects from border adjustments in the indirect taxes used by major U.S. trading partners using a numerical general equilibrium model of world trade and production due to Whalley (1985). Where the United States is a net importer of manufactures (as with Japan and the EEC) the United States gains by having these countries administer taxes on a destination rather than an origin basis. This is because the taxes involved typically have higher rates on manufactured products, and a discriminatory origin basis tax with higher rates on exportables operates akin to an export tax.     

Deception in Computer-Mediated Communication

An integrated model of interpersonal deception, focusing on the particular characteristics and impacts of computer-mediated modalities, is derived and presented. Although there is a wealth of research investigating both mediated communication and deception, there has been relatively little empirical work at the intersection. Our purpose is to provide a model that spans these areas, to summarize relevant literature, and to advance a set of empirically testable propositions to guide future work.     

Purpose, development and use of injury indicators

Injury indicators can be used to give policy makers an estimate of the scale of injuries and their long-term effects. They can help compare injury levels in different areas and countries and can be used to help measure the effectiveness of interventions. Work on severity related indicators is promising. However there are no perfect indicators to date as many are hampered with difficulties in case definition and under reporting. For example, mortality rates are affected by improvements in care even if the incidence of an injury remains the same, the abbreviated injury scale (AIS) takes 10-20 minutes to code and so is not used in health service databases, surveys have problems with recall bias, definition of injury and response rates. If we accept that we need to make the best out of imperfect indicators and imperfect data then we should use multiple sources of data and accept that no one indicator can be used universally but needs to be selected for the purpose. For example, one possible new indicator of the incidence of non-fatal injury might be fracture data in the emergency department. Fractures are painful and so nearly always end up with a hospital attendance. This might give a means to compare incidence of non-fatal injury in different areas and countries. In conclusion, we need injury indicators to progress in injury prevention. Imperfect indicators can be used for targeting and evaluating interventions as long as we know and adjust for their limitations.     

Identifying and Developing Measures of Information Technology Ethical Work Climates

A model of information technology (IT) ethical work climates is presented. Using these ethical work climates and data collected from a national mail survey of Association for Computing Machinery (ACM) members, empirical measures were developed and evaluated. A mailing of 2446 questionnaires was sent to ACM members and 136 usable responses were returned (5.6%). Using these data, an exploratory factor analysis was performed using principle components analysis to identify the IT ethical work climates from the data. Six of these work climates were identified as predicted by the model. Two ethical work climates that were combinations of the proposed climates were also identified.From the results of the exploratory factor analysis, a confirmatory factor analysis was performed using Calis in PC SAS version 8. The purpose of this analysis was to evaluate the overall fit of these measures to the data and evaluate the psychometric properties of the measures. The fit of the IT ethical work climates model was acceptable. The psychometric properties of these measures were good. Based on these results, conclusions, limitations of the study, and directions for future research are proposed.     

Estimating choice models in data-sparse environments: Taking advantage of perceived similarity

Research suggests that choice models conditioned on correctly identified consideration sets outperform choice models conditioned on the awareness set (Hauser, 1978; Roberts and Lattin, 1991). However, in data-sparse environments, where purchase history information is not available or not relevant, choice models conditioned on the consideration set often yield nonunique or nonsignificant solutions. In these environments, we propose the use of similarity information to improve the performance of choice models. Support for this position is found in an empirical application involving automobiles.     

A New Perspective on Cross-Cultural Ethical Evaluations: The Use of Conjoint Analysis

The present paper compares the ethical perceptions of Americans and Greeks using conjoint analysis. The two samples were presented with 2 scenarios manipulating three factors: gender of the transgressor, organizational status of the transgressor, and the magnitude of the transgression. For each scenario, conventional mean comparisons and conjoint analyses were performed on five ethical measurements. The matrix of means and the relative importances of the American sample were compared with that of the Greek sample. The results showed that Greeks paid more attention to the dollar amount involved and less attention on the organizational status of the transgressor than Americans did. The gender of the transgressor was the least important factor for both samples. The use of relative importance measures derived from conjoint analysis is shown to provide a new dimension in cross-cultural comparisons.     

Carving and tourism: A maori perspective

Maori retained high levels of self determination under the Treaty of Waitangi in 1840, although much of the subsequent history of the 19th century involved attempts both formal and informal by the colonial powers to subvert the Act. Therefore, while tourism has brought significant economic advantages for some tribes (iwi), and promises economic returns for others, Maori are insistent that they retain control over the process. The paper describes some of the significant impacts of tourism on Maori culture, but it is concluded that the truths of tourist impacts are plural, and can only be understood within an understanding of Maori cosmology. As such, Maori are adept at distinguishing between the signs and symbols of tourist artifacts.