Moral Development in Business Ethics: An Examination and Critique

The field of behavioral ethics has seen considerable growth over the last few decades. One of the most significant concerns facing this interdisciplinary field of research is the moral judgment-action gap. The moral judgment-action gap is the inconsistency people display when they know what is right but do what they know is wrong. Much of the research in the field of behavioral ethics is based on (or in response to) early work in moral psychology and American psychologist Lawrence Kohlberg’s foundational cognitive model of moral development. However, Kohlberg’s model of moral development lacks a compelling explanation for the judgment-action gap. Yet, it continues to influence theory, research, teaching, and practice in business ethics today. As such, this paper presents a critical review and analysis of the pertinent literature. This paper also reviews modern theories of ethical decision making in business ethics. Gaps in our current understanding and directions for future research in behavioral business ethics are presented. By providing this important theoretical background information, targeted critical analysis, and directions for future research, this paper assists management scholars as they begin to seek a more unified approach, develop newer models of ethical decision making, and conduct business ethics research that examines the moral judgment-action gap.

     

Neural networks in strategic marketing: exploring the possibilities

A review of the literature indicates that few studies have used artificial neural networks (ANNs) for data analysis in business and marketing research, even though there are many benefits to the use of ANNs. Therefore, this article discusses neural networks (NNs) that can be used in addition to or as an alternative to linear regression for data analysis in strategic marketing. The function and layout of NNs make them ideal for research dealing with nonlinear, incomplete, unspecified, or ‘fuzzy’ data and offer several advantages over linear regression. Unfortunately, in many marketing studies, the information being modeled is far from flawless and is often riddled with ambiguities linear regression is insufficient to accurately assess. NNs could be employed for great benefit by researchers analyzing the nonlinear, complex relationships in business data. The article discusses examples of types of studies that could be strengthened or expanded from neural network use.     

Impact of founder experience on exit intentions

Entrepreneurial exit—the process by which the founders of privately held firms leave the firm they helped to create (DeTienne, J Bus Venturing, 2010)—is an important component of the entrepreneurial process, yet researchers know very little about it. We examine entrepreneurs’ intentions to exit by a range of possible exit paths [acquisition, initial public offering (IPO), family succession, employee buyout, independent sale, liquidation], building on Gimeno et al.’s (Adm Sci Q 42:750–783, 1997) notion of thresholds as they apply to a simple survival/exit dichotomy, and expanding this to include different intended paths of exit. Our results indicate that entrepreneurs intend to pursue different exit paths based on previous entrepreneurial experience, industry experience, age, and education level. Our findings provide preliminary evidence that differences between intended exit and failure are underspecified in the literature, since exit consists of many unique paths. Also, in support of threshold theory, we find that the intended exit path is driven by factors other than firm performance.     

Causation and effectuation processes: A validation study

We develop and validate measures of causation and effectuation approaches to new venture creation and test our measures with two samples of entrepreneurs in young firms. Our measure of causation is a well-defined and coherent uni-dimensional construct. We propose that effectuation is a formative, multidimensional construct with three associated sub-dimensions (experimentation, affordable loss, and flexibility) and one dimension shared with the causation construct (pre-commitments). As specified by Sarasvathy (2001), we also show that causation is negatively associated with uncertainty, while experimentation, a sub-dimension of effectuation, is positively correlated with uncertainty. The major contribution is the resulting validated scales that measure causation and effectuation.     

Reconceptualizing entrepreneurial exit: Divergent exit routes and their drivers

We develop a conceptual model of entrepreneurial exit which includes exit through liquidation and firm sale for both firms in financial distress and firms performing well. This represents four distinct exit routes. In developing the model, we complement the prevailing theoretical framework of exit as a utility-maximizing problem among entrepreneurs with prospect theory and its recent applications in liquidation of investment decisions. We empirically test the model using two Swedish databases which follow 1,735 new ventures and their founders over eight years. We find that entrepreneurs exit from both firms in financial distress and firms performing well. In addition, commonly examined human capital factors (entrepreneurial experience, age, education) and failure-avoidance strategies (outside job, reinvestment) differ substantially across the four exit routes, explaining some of the discrepancies in earlier studies.     

Entrepreneurial exit as a critical component of the entrepreneurial process: Theoretical development

By demonstrating the importance of entrepreneurial exit to the entrepreneur, the firm, the industry, and the economy I contend that our understanding of the entrepreneurial process is incomplete without the inclusion of entrepreneurial exit. I define entrepreneurial exit and demonstrate how this conceptualization provides concepts that are unique from those addressed by researchers in other domains; thus outlining a space for it within the literature. In each phase of the entrepreneurial process I explore the development of an exit strategy, reasons for exit and options for exit.     

The fallacy of “only the strong survive”: The effects of extrinsic motivation on the persistence decisions for under-performing firms

Under-performing firms persist even though existing theoretical perspectives indicate that they should be selected out of the market. Building upon threshold theory [Gimeno, J., Folta, T., Cooper, A., Woo, C., 1997. Survival of the fittest? Entrepreneurial human capital and the persistence of underperforming firms. Administrative Science Quarterly 42, 750–783.] and using Staw's [Staw, B.M., 1981. The escalation of commitment to a course of action. Academy of Management Review 6 (4), 577–587.] theoretical model of commitment to a course of action, we explore and test the factors that lead entrepreneurs to persist with under-performing firms. We found environmental munificence, personal investment, personal options, previous organizational success, and perceived collective efficacy impact the decision to persist with an under-performing firm. In addition, extrinsic motivation moderates those relationships. This research adds to the growing literature on highly persistent, under-performing firms and complements and extends threshold theory.     

The Impact of Moral Stress Compared to Other Stressors on Employee Fatigue, Job Satisfaction, and Turnover: An Empirical Investigation

Moral stress is an increasingly significant concept in business ethics and the workplace environment. This study compares the impact of moral stress with other job stressors on three important employee variables??fatigue, job satisfaction, and turnover intentions??by utilizing survey data from 305 customer-contact employees of a financial institution??s call center. Statistical analysis on the interaction of moral stress and the three employee variables was performed while controlling for other types of job stress as well as demographic variables. The results reveal that even after including the control variables in the statistical models, moral stress remains a statistically significant predictor of increased employee fatigue, decreased job satisfaction, and increased turnover intentions. Implications for future research and for organizations are discussed.