Final answer:
B) sensitizing employees to the views of different cultural groups toward work.
Cultural sensitivity training aims at educating employees on the perspectives of various cultural groups to enhance teamwork in a diverse workforce. It can include language training, the use of audiovisual techniques, T-groups, and efforts to reduce implicit biases. Its effectiveness can be measured via immediate employee responses, testing for learning outcomes, behavioral changes, and business performance.
Step-by-step explanation:
Cultural sensitivity training includes a variety of methods aimed at sensitizing employees to the views of different cultural groups toward work and to help improve teamwork in a diverse workforce. These methods can encompass everything from the obvious, like language training and the use of audiovisual techniques, to more nuanced approaches such as sensitizing employees to different perspectives and facilitating interaction through T-groups, which are small group trainings that focus on interpersonal communications and behavior. The goal is often to reduce implicit biases and foster an environment where diversity is understood, appreciated, and leveraged for better collaboration and productivity. A critical component of cultural sensitivity training is the awareness of language bias and the importance of seeing individuals beyond the cultural or linguistic differences.
A 2003 study by Arthur, Bennett, Edens, and Bell has shown that organizational training, including cultural sensitivity training, can be effective when outcomes are appropriately measured. The effectiveness can be determined by immediate employee responses, learning outcomes at the end of training, behavioral changes observed by supervisors, and improvements in productivity or profits. However, it's important that the conditions under which groups meet to facilitate this training are conducive to reducing prejudice - conditions should include equal standing, common goals, and support from authorities, as found by Pettigrew and Tropp in their meta-analysis.