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Ethical Context and Ethical Decision Making: Examination of an Alternative Statistical Approach for Identifying Variable Relationships

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Abstract

The purpose of this study was to investigate the relationship between organizational ethical context and the individual ethical decision-making process. In addition, a new statistical approach combining cluster and discriminant analyses was developed to overcome violations of regression assumptions, which are commonly not identified and/or ignored in behavioral and psychological research. Using regressions and this new alternative method, the findings indicated that ethical context does indeed influence the various components of ethical reasoning. However, social desirability was the strongest predictor of ethical decision making, which raises new concerns about how this bias can confound business ethics research. Finally, the findings showed that the alternative method provided more useful and interpretive results, indicating that it has the capacity to influence future empirical work in the field of business ethics, particularly when dealing with data that do not satisfy regression assumptions. The implications and limitations of the study are discussed, and several noteworthy suggestions for future research are provided.

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  1. Department of Management, University of North Dakota, 293 Centennial Drive, Mailstop 8377, Grand Forks, ND, 58202-8377, USA

    Sean Valentine, Seong-Hyun Nam & David Hollingworth

  2. Minneapolis, MN, USA

    Callie Hall

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Correspondence to Sean Valentine.

Appendices

Appendix 1: Calculations for Cluster Analysis of PIE: Spreadsheet Model Using Excel 2010

See Table 7.

Table 7 Cluster analysis excel spreadsheet
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Appendix 2: Discriminant Analysis: Spreadsheet Model Using Excel 2010

See Table 8.

Table 8 Discriminant analysis excel spreadsheet
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Valentine, S., Nam, SH., Hollingworth, D. et al. Ethical Context and Ethical Decision Making: Examination of an Alternative Statistical Approach for Identifying Variable Relationships. J Bus Ethics 124, 509–526 (2014). https://doi.org/10.1007/s10551-013-1879-8

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