Specific learning objectives of the case are as follows:
Critically evaluate Human Resources (HR) diagnosis methods using motivational theories to identify theoretical misalignments and strategic risks in talent attraction and retention.
Assess and advance organisational HR analytics capabilities for evidence-based decision-making
Synthesise analytical insights to design targeted interventions for retention outcomes.
This case study presents the dilemma faced by Sonia, HR Head at AutoNova. Faced with tight operational deadlines in the competitive talent landscape of the Indian automobile industry, she, an expat who had returned to her country after decades, had to decide which motivational levers to rely on to drive the hiring and engagement strategy. In particular, how could she leverage secondary data to develop an actionable talent management strategy that delivered results in a competitive talent market?
The case can be used to teach both undergraduate and postgraduate students at the Management Institute. At the post-graduate level, it can be taught either in the advanced level Organisation Behaviour course when topics of application of analytics in HR decisions related to motivation in the context of organisation culture are being discussed. It can also be taught in Management Development Programs for mid-level HR executives in an experiential manner to impart skills on data-driven talent-specific decision-making. Participants should be aware of basic and advanced statistics. In case the instructor would like to use the case study to discuss statistics in detail, the case study provides sufficient data to do so, but it may require more than one session to do the same.
CSS6: Human Resource Management.
