Parikalpana: KIIT Journal of Management

Akankshya Patnaik ¹, Ratnakar Mishra ²

Affiliations
1 Business Management, Presidency College, Berhampur, IN
2 National Institute of Science and Technology, Berhampur, IN

Abstract

This paper deals with the influence of climatic condition on student productivity. It highlights the impact of temperature on student's performance. Several factors plays important role on student productivity one of it is 'variation in internal temperature of a class room'. Climatic conditions of India are different to that of its western counterparts. Studies conducted in Indian conditions often points to a host of teaching quality related factors rather than external environmental impact. This study adopts a descriptive approach and uses primary source of data comprising the classes in professional courses, carrying equal weight age. All total 60 samples are taken comprising of students from both climate controlled and non-controlled class rooms, for the test.

Keywords

Climate Controlled Class Rooms, Students, Productivity.

Full Text

   

Ratnakar Mishra ¹, S. Dhanabagiyam ²

Affiliations
1 Professor & HoD, NIST Institute of Science and Technology (Autonomous), Berhampur, Odisha. 761008, IN
2 Associate Professor, NSB Academy, Bangalore-560099, IN

Abstract

Manpower management is one of the core functional area of any business operations. In practice, right deployment of manpower at right positions in right time is very crucial. People usually join their corporate life in multiple times in a calendar year at various positions. They also move across various levels due to usual corporate HR interventions at different times in a year as well. So, optimization and successful prediction of work-force movement in the verticals by aligning its way to reduce surplus and shortage is key to survival in business. Right prediction of work-force position movements at right time is crucial to every organization success. This article focusses on insight of the optimization of human resources for key success of the organization. Results obtained from this study indicated the model validation when compared to actual data. The study took the data of a large steel making company in the state of Odisha and found this model useful for practice. The results indicated towards some suggestions for the company in employee hiring plans in future. Out of the available models available this ‘Markov Chain’ model application actually intends to show a positive direction towards decision making in managing and controlling the employee base.

Keywords

Predictive Analytics, Manpower Estimation, Markov Chain Model, Manufacturing Plant.

Full Text