Irish Credit Unions: Differential Regulation based on Business Model Complexity

This study examines the business model complexity of Irish credit unions using a latent class approach to measure structural performance over the period 2002 to 2013. The latent class approach allows the endogenous identification of a multi-class framework for business models based on credit union specific characteristics. The analysis finds a three class system to be appropriate with the multi-class model dependent on three financial viability characteristics. This finding is consistent with the deliberations of the Irish Commission on Credit Unions (2012) which identified complexity and diversity in the business models of Irish credit unions and recommended that such complexity and diversity could not be accommodated within a one size fits all regulatory framework. The analysis also highlights that two of the classes are subject to diseconomies of scale. This may suggest credit unions would benefit from a reduction in scale or perhaps that there is an imbalance in the present change process. Finally, relative performance differences are identified for each class in terms of technical efficiency. This suggests that there is an opportunity for credit unions to improve their performance by using within-class best practice or alternatively by switching to another class.

The European Commission’s public consultation on the review of EU copyright rules: a response by the CREATe centre

This article presents the response of the Centre for Copyright and New Business Models in the Creative Economy (CREATe) to the consultation on reform of the EU copyright regime. Reviews the format of the consultation, notes the common problems in reporting data in such a format, and reproduces the consultation questions to which CREATe responded, together with a summary of its conclusions on topics including: (1) terms of copyright protection; (2) libraries and archives; (3) persons with disabilities; (4) remuneration of authors; (5) user-generated content; (6) respect for rights; and (7) data mining.

Consumer Behaviour towards Organic Ready-to-Eat Meals: A Case of Quality Innovation

This paper reviews literature on alternative convenience food choices and analyses the findings from consumer behaviour and manufacturing/retailing perspective. As consumers’ demand for easy prepared and healthier food products has gradually increased, so has the related research activity. This address provides a synopsis of 60 relevant peer-review publications based on an online research carried out using related to organic ready-to-eat meals search terms. An overview of topic’s most important outcomes is presented, compared and evaluated. Results reveal positive attitudes, increased interest and willingness to purchase such products. Research gaps are identified in the field of personal and social norms as well as in the regulation and seeking information process. Policy making implications and recommendations are also discussed in conjunction with future research opportunities

Advanced Business Simulations-Incorporating business and process execution data

Key Performance Indicators (KPIs) and their predictions are widely used by the enterprises for informed decision making. Nevertheless , a very important factor, which is generally overlooked, is that the top level strategic KPIs are actually driven by the operational level business processes. These two domains are, however, mostly segregated and analysed in silos with different Business Intelligence solutions. In this paper, we are proposing an approach for advanced Business Simulations, which converges the two domains by utilising process execution & business data, and concepts from Business Dynamics (BD) and Business Ontologies, to promote better system understanding and detailed KPI predictions. Our approach incorporates the automated creation of Causal Loop Diagrams, thus empowering the analyst to critically examine the complex dependencies hidden in the massive amounts of available enterprise data. We have further evaluated our proposed approach in the context of a retail use-case that involved verification of the automatically generated causal models by a domain expert.