The concept of Corporate Social Consciousness and Responsibility (CSCR) is introduced in the model of measurement of its effect as moral and ethical value on production. Thus, a financial production function as well as a real-value production function is endogenously induced by the learning parameters of the phenomenology of unity of knowledge. This is shown to yield a new concept of complementarities between ethically induced economic efficiency. Empirical directions are prescribed.
TopReview Of The Literature
The above-mentioned points have been well exhibited by the Japanese firms (Kobayashi, 1988), which emphasize the team-work and coordination in Japanese business and corporation. Kim and Mauborgne (2005) wrote their prolific best-seller in this area of cooperative management of production for firms and strategic businesses. Indeed, within the system and cybernetic idea of decision-making in management and organization (see various issues of Kybernetes, International Journal of Cybernetics, Systems and Management Studies), with the firm being an example of the idea of interactive and integrative decision-making in a learning environment, ethical issues of business and production management have taken center-stage for some time now (Simon, 1957, 1960; Johannessen, 2006; Xuemou & Dinge, 1999).
The methodology of productivity and efficiency analysis introduced below is different from the ones done for Data Enveloping Analysis (DEA) and Stochastic Frontier Analysis (SFA) (Majid, Saal, Battisti, et al., 2009). These other methods do not question the neoclassical paradigm and methodology in measuring production, productivity, and efficiency. Hence, the production function and production possibility surface characterized by marginal rate of substitution and smooth non-learning frontiers, despite the probabilistic methods of SFA, abounds. A gamut of complementary effects and participation generated by continuous endogenous learning is not addressed. The existence of these latter phenomena causes perturbations and non-probabilistic convergences referred to as being fuzzy consequences (Kellert, 1993). They defy sound predictive measurements.