BITS Faculty Publications

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    A Study of Interplay between Organizational Change and Career Orientation
    (Indian Journal, 2018) Nirban, Virendra Singh
    The term motivation has been defined variously by different persons in the fields of Psychology and Management. This is an area which has always and shall continue to attract researchers. While a motivated employee is identified by his/her enthusiasm towards the job, efforts they make to get through a challenge and their performance on the job, on the other hand the nonmotivated employee is also identified using the same criterion. The motivation level influences the relationship and sensitiveness of personnel and in turn a reciprocal effect is also there. The consequences of motivation in organisation is evaluated in terms of productivity/performance. The challenge which confronts most organisations today is about organisational change, motivational factors behind it and the resistance to change. This paper is an attempt to identify the career orientation of employees in relation to organisational change, sensitivity and motivation. A five page questionnaire was used for collecting data. Forty-fivemanagerial level personnel responded finally, the sample being managers of higher, middle and junior level in an industry. The means, standard deviations and correlation analysis were the statistical tools used. Results have been interpreted and discussed. The limitations of the study and suggestions for future have also been mentioned.
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    Reputation-Based Reinforcement Algorithm for Motivation in Crowdsourcing Platform
    (Springer, 2019-07) Anand, Vijayalakshmi
    Crowdsourcing is a well-known model for solving tasks in several organizations in the recent times. While building, the crowdsourcing platform is simple, and its success depends on the amount of individuals taking part in it. We propose a brand new gamification methodology to draw folks to participate within the crowdsourcing platform. Reinforcement algorithm is employed in this gamification method to motivate the people. This reinforcement algorithm can direct a user to participate in some actions that yield maximum reward in a crowdsourcing platform. This gamification technique motivates user to participate in various activities in the crowdsourcing platform. The proposed algorithm is applied on a social media application that has been implemented for faculties to share their research and tutorial experience. We proved that participation of faculties in crowdsourcing platform improved after applying this gamification method.
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    Motivation of participants on the crowdsourcing platform using intelligent agents
    (Research Institute for Intelligent Computer Systems, 2020-03) Anand, Vijayalakshmi
    Crowdsourcing is a model where individuals or organizations receive services from a large group of Internet users including ideas, finances, completing a complex task, etc. Several crowdsourcing websites have failed due to la ck of user participation; hence, the success of crowdsourcing platforms is manifested by the mass of user participation. However, an issue of motivating users to participate in crowdsourcing platform stays challenging. We have proposed a new approach, i.e. , reinforcement learning - based gamification method to motivate users. Gamification has been a practical approach to engaging users in many fields, but still, it needs an improvement in the Crowdsourcing platform. In this paper, the gamification approach is strengthened by a reinforcement learning algorithm. We have created an intelligent agent using the Reinforcement learning algorithm (Q - learning). This agent suggests an optimal action plan that yields maximum reward points to the users for their active pa rticipation in the Crowdsourcing application. Also, its performance is compared with the SARSA algorithm (On - policy learning), which is another Reinforcement learning algorithm.