Ethics Programs and Ethical Cultures: A Next Step in Unraveling their Multi-Faceted Relationship

The objective of an ethics program is to improve the ethical culture of an organization. To date, empirical research treats at least one of these concepts as a one-dimensional construct. This paper demonstrates that by conceptualizing both constructs as multi-dimensional, a better understanding of the relationship between the two concepts can be achieved. Employing the corporate ethical virtues model, eight dimensions of ethical culture are distinguished. Nine components of an ethics program are specified. To assess the relationship between ethical programs and ethical cultures, a survey of 4,056 members of the U.S. working population was conducted. The results show that the relationship between the individual components of an ethics program and ethical culture differs. Implications for research and practice are discussed.ethical culture;ethics program;virtue theory

The Relationship between Ethical Culture and Unethical Behavior in Work Groups: Testing the Corporate Ethical Virtues Model

The Corporate Ethical Virtues Model, which is a model for measuring the ethical culture of organizations, has not been tested on its predictive validity. This study tests the relationship between this model and observed unethical behavior in work groups. The sample consists of 301 triads comprising a manager and two direct reports. The results show that six of the eight virtues are negatively related to observed unethical behavior. An important implication of this finding is that multiple corporate virtues are required to reduce unethical behavior in work groups.ethical culture;ethics program;unethical behavior;virtue theory;ethical climate;work groups

The Effectiveness of Business Codes: A Critical Examination of Existing Studies and the Development of an Integrated Research Model

Business codes are a widely used management instrument. Research into the effectiveness of business codes has, however, produced conflicting results. The main reasons for the divergent findings are: varying definitions of key terms; deficiencies in the empirical data and methodologies used; and a lack of theory. In this paper, we propose an integrated research model and suggest directions for future research.Ethics;Business codes;Effectiveness;Organization

Spiraling Down into Corruption: A Dynamic Analysis of the Social Identity Processes that Cause Corruption in Organizations to Grow

To date, theory and research on corruption in organizations have primarily focused on its static antecedents. This paper focuses on the spread and growth of corruption in organizations. For this purpose three downward organizational spirals are formulated: the spiral of divergent norms, the spiral of pressure, and the spiral of opportunity. Social Identity Theory is used to explain the mechanisms of each of these spirals. Our dynamic perspective contributes to a greater understanding of the development of corruption in organizations and opens up promising avenues for future research.corruption;dynamics;social identity theory;organizational factors

Investigation of the concept of beauty via a lock-in feedback experiment

Lock-in feedback circuits are routinely used in physics laboratories all around the world to extract small signals out of a noisy environment. In a recent paper (M. Kaptein, R. van Emden, and D. Iannuzzi, paper under review), we have shown that one can adapt the algorithm exploited in those circuits to gain insight in behavioral economics. In this paper, we extend this concept to a very subjective socio-philosophical concept: the concept of beauty. We run an experiment on 7414 volunteers, asking them to express their opinion on the physical features of an avatar. Each participant was prompted with an image whose features were adjusted sequentially via a lock-in feedback algorithm driven by the opinion expressed by the previous participants. Our results show that the method allows one to identify the most attractive features of the avatar

Parsimonious Language Models for a Terabyte of Text

The aims of this paper are twofold. Our first aim\ud is to compare results of the earlier Terabyte tracks\ud to the Million Query track. We submitted a number\ud of runs using different document representations\ud (such as full-text, title-fields, or incoming\ud anchor-texts) to increase pool diversity. The initial\ud results show broad agreement in system rankings\ud over various measures on topic sets judged at both\ud Terabyte and Million Query tracks, with runs using\ud the full-text index giving superior results on\ud all measures, but also some noteworthy upsets.\ud Our second aim is to explore the use of parsimonious\ud language models for retrieval on terabyte-scale\ud collections. These models are smaller thus\ud more efficient than the standard language models\ud when used at indexing time, and they may also improve\ud retrieval performance. We have conducted\ud initial experiments using parsimonious models in\ud combination with pseudo-relevance feedback, for\ud both the Terabyte and Million Query track topic\ud sets, and obtained promising initial results

Exploring Topic-based Language Models for Effective Web Information Retrieval

The main obstacle for providing focused search is the relative opaqueness of search request -- searchers tend to express their complex information needs in only a couple of keywords. Our overall aim is to find out if, and how, topic-based language models can lead to more effective web information retrieval. In this paper we explore retrieval performance of a topic-based model that combines topical models with other language models based on cross-entropy. We first define our topical categories and train our topical models on the .GOV2 corpus by building parsimonious language models. We then test the topic-based model on TREC8 small Web data collection for ad-hoc search.Our experimental results show that the topic-based model outperforms the standard language model and parsimonious model

Conceptions of God, normative convictions and socially responsible business conduct: An explorative study among executives

The case for socially responsible business conduct is often made from an economical or ethical perspective with the organization as level of analysis. This paper focuses on the relationship between the religious belief of corporate decision-makers and socially responsible business conduct. Based on in-depth interviews with twenty Dutch executives from different religious backgrounds, we find much inductive evidence of a relationship between their conception of God, norms and values and business conduct. We also find that executives with a monotheistic conception of God display a stronger orientation toward socially responsible business conduct than executives with a pantheistic conception of God.Socially responsible business conduct; religion; values; ethics; leadership

Using Parsimonious Language Models on Web Data

In this paper we explore the use of parsimonious language models for web retrieval. These models are smaller thus more efficient than the standard language models and are therefore well suited for large-scale web retrieval. We have conducted experiments on four TREC topic sets, and found that the parsimonious language model results in improvement of retrieval effectiveness over the standard language model for all data-sets and measures. In all cases the improvement is significant, and more substantial than in earlier experiments\ud on newspaper/newswire data