Challenges for Brazilian MNCs' international human resources management

Multinationals from emerging countries such as Brazil now take the path of internationalisation where early movers have already been. However, these companies have to develop new tools to deal with their own challenges, since they come from countries with different historical backgrounds and specificities. This paper explores challenges for Brazilian MNCs in terms of HRM when operating abroad. It presents the results of six cases of Brazilian MNCs through a grounded theory study. Results show these companies had to deal with their former economic turbulence, shortage of qualified workforce to work internationally and the need to develop HRM competencies to operate globally.

PERFORMANCE EVALUATION OF RESOURCE-AWARE BUSINESS PROCESSES USING STOCHASTIC AUTOMATA NETWORKS

In this work, we study the performance evaluation of resource-aware business process models. We define a new framework that allows the generation of analytical models for performance evaluation from business process models annotated with resource management information. This framework is composed of a new notation that allows the specification of resource management constraints and a method to convert a business process specification and its resource constraints into Stochastic Automata Networks (SANs). We show that the analysis of the generated SAN model provides several performance indices, such as average throughput of the system, average waiting time, average queues size, and utilization rate of resources. Using the BP2SAN tool - our implementation of the proposed framework - and a SAN solver (such as the PEPS tool) we show through a simple use-case how a business specialist with no skills in stochastic modeling can easily obtain performance indices that, in turn, can help to identify bottlenecks on the model, to perform workload characterization, to define the provisioning of resources, and to study other performance related aspects of the business process.