Introduction Conclusions References

Many business firms are planning, or practicing B2B, however, analysis on the performance of companies achieved by B2B has not been made sufficiently, and there isn't any evaluation method to determine whether B2B has been planned and practiced in an appropriate way. Therefore, we proposed B2B performance Evaluation Model , which is able to make in-depth evaluation of the company's performance ...

Assessing the viability of a quantitative model given observed data is generally done in three steps: model fitting, testing, and selection. In model fitting, we find the parameter values that best fit observed data. This is followed by model testing in which null hypothesis significance tests allow us to evaluate the descriptive adequacy of a model’s fit to data. Model selection concerns the i...

Supplier selection is a multi-Criteria problem. This study proposes a hybrid model for supporting the suppliers’ selection and ranking. This research is a two-stage model designed to fully rank the suppliers where each supplier has multiple Inputs and Outputs. First, the supplier evaluation problem is formulated by Data Envelopment Analysis (DEA), since the regarded decision deals with uncertai...

The Convention on the Rights of Persons with Disabilities (CRPD) is a modern human rights treaty with innovative components. It impacts on disability studies as well as human rights law. Two innovations are scrutinized in this article: the model of disability and the equality and discrimination concepts of the CRPD. It is argued that the CRPD manifests a shift from the medical model to the huma...

Community policing advocates argue that reforms designed to break down barriers between police and citizens can produce favorable outcomes. The authors test a series of related hypotheses in a multivariate context by using four independent data sources— community surveys, patrol officer interviews, Census Bureau, and police crime records— to estimate hierarchical linear models. The results show...

The E-Learning Maturity Model (eMM) is a quality improvement framework designed to help institutional leaders assess their institution's e-learning maturity. This paper reviews the eMM, drawing on examples of assessments conducted in New Zealand, Australia, the UK and the USA to show how it helps institutional leaders assess and compare their institution's capability to sustainably develop, dep...