A combined optimization and agent-based approach to supply chain modelling and performance assessment

The main objective of this paper is to give an example of how expert systems techniques for distributed decision-making can be combined with contemporary numerical optimization techniques for the purposes of supply chain optimization and to describe the resulting software implementation. In this paper, multi-agent modelling techniques are applied to simulate and control a simple demand-driven supply chain network system, with the manufacturing component being optimized through mathematical programming. The system measures supply chain performance and the effect of different parameters in the replenishment control system, and can be used to simulate the behaviour of a system that uses optimization for part of its decision-making. The objective of this supply chain network system is to reduce operating cost, while maintaining a high level of customer order fulfilment.     

Divide and rule: The effects of diversity and network structure on a firm's sustainability performance

To tackle sustainability, firms often use partnerships with organizations from different industries or societal sectors such as government and civil society. While partnerships show potential for firms to improve their sustainability performance, they not only lead to a potential to learn from diversity but also to tensions due to a lack of unity between partners. In partnerships for sustainability, this unity-diversity tension particularly manifests itself in different views of sustainability. This paper examines how this tension affects the sustainability performance of firms taking part in partnerships for sustainability in developing countries. To address this question, this tension is conceptualized as being the result of differences in organizational frames and institutional logics between a focal firm and other organizations in the partnership. It is also taken into consideration that firms are embedded in an overarching, relational network structure that allows them to manage the diversity in frames and logics. To test the hypotheses, the study analyses 1353 greenhouse gas emission reduction projects of 322 firms from developing countries active in the carbon-offset market from 2007 to 2009. The findings show that if partners hold different frames and belong to different sectors, a firm's sustainability performance improves first due to learning from diversity but after a turning point decreases from a lack of unity. This inverse U-shape relationship is flipped if a firm occupies a brokerage position in its network.     

Justifying Social Impact as a Form of Impression Management: Legitimacy Judgements of Social Enterprises’ Impact Accounts

This paper investigates how social enterprises construct accounts to gain legitimacy from the social impact generated by their products and operations. The paper finds that social impact accounts are framed to appeal to two distinct forms of judgement about legitimacy: cognitive and evaluative. Cognitive forms of judgement qualify how well an enterprise shares attributes with an individual's schemas of established actors or roles in society. Evaluative forms of judgement tend to operate more analytically to make comparisons of the relative appropriateness and desirability of multiple enterprises to achieve an audience's goals. The findings show that although legitimizing the social aspects of an enterprise involved justifications aimed at both forms of judgement, legitimizing an enterprise's professionalism relied almost exclusively on evaluative judgements. Moreover, the justifications created to appeal to evaluative judgements relied almost exclusively on financial and operational data, using operational scale as a proxy.