Published Paper Details:

Social Media Platforms have revolutionized in professional networking towards user engagement, information exchange and career advancement in today world. LinkedIn is considered as prominent platform which enables its user to network with others to enhance their technical skills for their career advancement. Especially, LinkedIn facilities were managed on short terms planning activities in operation level and decision making process in strategic level to deals with network information flow to mitigate the spam and privacy leakage. However strategic level management of LinkedIn fails to provide effective recommendation and suggestion solution related to carrier advancement of the user which leads to reduced user engagement and operations sustainability. In order to enhance the user engagement, secure information exchange and effective recommendation solutions to the carrier enhancement, an adoption of new multiobjective big data analytics framework as informed decision making solutions towards attaining sustainability of LinkedIn operation through its operations and sourcing information is investigated. Data analysis using data intelligence application like artificial intelligence from various data of the LinkedIn User in the manufacturing companies will provides results to elaborate the empirical illustrations about sustainable LinkedIn Operation and solutions towards user engagement, networking and career advancement in the project management context. Data is obtained on basis of questionnaire from users in project management department in various manufacturing industries in southern part of India. Proposed Analysis was evaluated using ANOVA and Percentage Analysis in the SPSS Statistical Analysis Tool. Finally findings of the analysis manifested the solutions to enhance the sustainability of the LinkedIn platform through effective recommendation and suggestion operations to carrier advancement of its LinkedIn user in technical perspectives. Furthermore suggestion has been provided to enhance the platform network configuration with high personalization towards timely management of user information to proper coordination towards demand fulfillment and optimal pricing model on content subscription charges towards increasing the engagement of the user for long time.