Development of Innovative Low Cost Larviculture Technologies of the Giant Fresh Water Prawn,Macrobrachium Rosenbergii(De Man)

School of Industrial Fisheries, Cochin University of Science and Technology

Innovative Human Resource Practices and Selected HR Outcomes in Software Firms in Kerala

In this study the relationship between Innovative HR practices and selected HR outcomes is investigated.The current study represents a unique attempt to study the effects of innovative HR practices,with job satisfaction,organisational commitment and organisational citizenship bahaviour considered as the consequent variables.Results have affirmed the role of intervening variables such as job satisfaction and organisational commitment in establishing the link between IHRP and OCB obliterating any direct relation between IHRP and organisational citizenship behaviour.This finding may enable researchers in the human resource management to develop more robust understandings of the positive effects of innnovative HR practices on HR outcomes.Thus the present study provides the obvious contribution of weaving up yet another linkage between the two complimentary disciplines of Human Resource Management and Organisational Behaviour.The present study also contributes to the understanding of OCB by exploring its antecedents and extending the intervening role of job satisfaction and organisational commitment.The findings indicate that a higher level of introduction/initiation and satisfaction of innovative HR practices produces high job satisfaction and organisational commitment which lead to OCB.The researcher drew upon the perception-attitude-behaviour model to further realise the expected relationship among innovative HR practices,job satisfaction,organisational commitment and organisational citizenship behaviour.Consequently,this study makes a contribution to the broader organisational citizenship behaviour literature by manifesting the extended relationship path from innovative HR practices to organisational citizenship behaviour,and demonstrating that innovative Hr practices at the organisational level has an effect on employee attitudes and behaviours as well.

Reinforcement Learning Solution for Unit Commitment Problem Considering Minimum Start Up and Shut Down Times

Unit Commitment Problem (UCP) in power system refers to the problem of determining the on/ off status of generating units that minimize the operating cost during a given time horizon. Since various system and generation constraints are to be satisfied while finding the optimum schedule, UCP turns to be a constrained optimization problem in power system scheduling. Numerical solutions developed are limited for small systems and heuristic methodologies find difficulty in handling stochastic cost functions associated with practical systems. This paper models Unit Commitment as a multi stage decision making task and an efficient Reinforcement Learning solution is formulated considering minimum up time /down time constraints. The correctness and efficiency of the developed solutions are verified for standard test systems