The purpose of this work is to elaborate an empirically grounded mathematical model of the magnitude of consequences component of “moral intensity” (Jones, Academy of Management Review 16 (2),366, 1991) that can be used to evaluate different ethical situations. The model is built using the analytical hierarchy process (AHP) (Saaty, The Analytic Hierarchy Process , 1980) and empirical data from the legal profession. One contribution of our work is that it illustrates how AHP can be applied in the field of (...) ethics. Following a review of the literature, we discuss the development of the model. We then illustrate how the model can be used to rank-order three well-known ethical reasoning cases in terms of the magnitude of consequences. The work concludes with implications for theory, practice, and future research. Specifically we discuss how this work extends the previous work by Collins ( Journal of Business Ethics 8 , 1, 1989) regarding the nature of harm variable. We also discuss the contribution this work makes in the development of ethical scenarios used to test hypotheses in the field of business ethics. Finally, we discuss how the model can be used for after-action review, contribute to organizational learning, train employees in ethical reasoning, and aid in the design and development of decision support systems that support ethical reasoning. (shrink)

The purpose of this work is to elaborate an empirically grounded mathematical model of the magnitude of consequences component of "moral intensity", 366, 1991) that can be used to evaluate different ethical situations. The model is built using the analytical hierarchy process and empirical data from the legal profession. One contribution of our work is that it illustrates how AHP can be applied in the field of ethics. Following a review of the literature, we discuss the development of the model. (...) We then illustrate how the model can be used to rank-order three well-known ethical reasoning cases in terms of the magnitude of consequences. The work concludes with implications for theory, practice, and future research. Specifically we discuss how this work extends the previous work by Collins regarding the nature harm variable. We also discuss the contribution this work makes in the development of ethical scenarios used to test hypotheses in the field of business ethics. Finally, we discuss how the model can be used for after-action review, contribute to organizational learning, train employees in ethical reasoning, and aid in the design and development of decision support systems that support ethical reasoning. (shrink)

Corporate sustainability performance measurement systems (SPMS) have been the subject of a growing amount of research. However, there are many challenges and opportunities associated with the design, implementation, use, and evolution of these systems that have yet to be addressed. The purpose of this article is to identify future directions for research in the design, implementation, use, and evolution of corporate SPMS. A concise review of key literature published between 2000 and 2010 is presented. The literature review focuses on research (...) conducted at the both the individual corporation- and sector-levels. The review of published literature provides a basis for the identification of a structured set of 65 key research questions to guide future work. The research questions will be of interest to both practitioners and researchers in corporate sustainability performance measurement. (shrink)

Ethical dilemmas require evaluation of alternatives in light of conflicting principles. Because of the difficulty of making and defending such complex decisions, we may compromise the quality of our ethical decisions and debates. We need a methodology that combines the weighted effects of multiple ethical guidelines on the issue at hand. This paper describes how the Analytic Hierarchy Process can help us improve ethical decision making.

This article does not intend to actually valuate intangible assets but focuses to investigate the relative value distribution of corporate intangible assets, and this links closely to the concept and application of value drivers. This is because we believe that drivers or attributes of the value significantly determine how the virtual value of these intangibles can be created for companies. We apply the analytic hierarchy process (AHP) to the appraising process of intangible assets. The AHP method can mainly sort the (...) non-financial value drivers in order according to their weighted contributions. Therefore, the key purpose of this article is to develop a tentative model for the evaluation of intangible assets, which helps business to correctly appraise corporate value ratios and avoid bias due to mainly relying on financial statements when measuring an entity’s value. In addition, in view of the significant proportion of intangible assets over total assets in high-technology industries, this research, then, uses six industries in Hsinchu Science Park, Taiwan, as its research objects in order to test the applicability of its model, as well as exploring the value weights of intangible assets and its evaluation among different technology industries. Besides, the empirical result of this article is mainly to support business appraisal and thus improves the effectiveness of value-based management. (shrink)