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The paper aims to explore and analyze how multinational companies (MNCs) in Bangladesh define corporate social responsibility (CSR) and how CSR is used by these companies as a strategic tool to improve business and social performances.

The authors choose a qualitative case study approach for this study, using multiple semi-structured interviews with 15 CSR managers and secondary data from websites and annual reports. Both primary and secondary data were collected from ten leading MNCs that operate in Bangladesh.

The findings indicate that most of the MNCs in Bangladesh are moving toward strategic CSR and away from the conventional altruistic (philanthropic) CSR. It also appears that stakeholder prioritization and one-way communication are key for managing stakeholders.

The most unavoidable limitation of this research lies in sample selection. A total of ten companies were selected because of lack of accessibility to additional MNCs. To overcome this limitation and increase the credibility of findings, the authors triangulate interview and secondary data from annual reports and websites.

The findings indicate that MNCs are increasingly recognizing the importance of using their core competencies to generate social benefits. The idea of adopting strategic CSR is predominantly steered by business benefits, which also provide the necessary resources for social and environmental activities

The findings suggest that the shift from philanthropy to strategic postures leads to creating and fostering social benefits such as developing an entrepreneurial spirit and empowering women.

MNCs operating in Bangladesh are gradually departing from philanthropy and moving toward strategic CSR by aligning business strategies with CSR. Transition from philanthropy to strategic CSR also reflects on MNCs’ CSR definitions, which include various dimensions such as social, stakeholders and sustainability, except philanthropy. In Bangladesh, where CSR was previously viewed as philanthropic activity, the findings make important contributions to the extant literature, particularly international CSR strategic literature, and can be useful for future research in other developing countries.

Predictive current control (PCC) of three-to-five-phase direct matrix converters (DMCs) is computationally expensive. For this reason, this study aims to consider a reduced number of switching states of DMC in PCC algorithm to predict the control objectives, such as output current control and input reactive power control.

The switching sequences which yield the voltage vectors of variable amplitude at a constant frequency in space are considered for the prediction and optimization step of PCC algorithm. For the selected voltage vectors, the phase angles of the output vectors are independent on the phase angles of the input vectors. In a three-to-five-phase DMC, there are 243 valid switching states. Among the switching states, only 91 states are considered using the aforementioned concept of variable amplitude output at a constant frequency. This reduced number of switching states simplifies the computational complexity of MPC based current control of three-to-five-phase DMC.

The computational complexity of the proposed PCC based DMC is lower than the all 243 vectors based PCC. The current total harmonic distortion, transient current response and input reactive power control for the simplified 91 vector based PCC are similar to the all 243 vectors based PCC.

A reduced number of switching sequence is considered for the prediction and optimization step of PCC algorithm. Hence, PCC algorithm can be sampled at a high frequency in real-time applications. Then, the performance of the PCC will be improved.