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    Discovery Projects - Grant ID: DP200103440

    Funder
    Australian Research Council
    Funding Amount
    $310,200.00
    Summary
    Older workers & psychological contracts: A dynamic perspective. This project aims to track the trajectories of older workers’ psychological contracts that shape their give-and-take with the organisation. Little is understood about how these psychological contracts change as older workers continue to pursue work through their fifth, sixth, seventh and eighth decades of life. This project tracks older workers over intensive, repeated in-depth interviews and a large-scale longitudinal panel study. .... Older workers & psychological contracts: A dynamic perspective. This project aims to track the trajectories of older workers’ psychological contracts that shape their give-and-take with the organisation. Little is understood about how these psychological contracts change as older workers continue to pursue work through their fifth, sixth, seventh and eighth decades of life. This project tracks older workers over intensive, repeated in-depth interviews and a large-scale longitudinal panel study. The outcomes fill significant gaps in our understanding of older workers’ needs and orientation toward work, and identify the age-related changes and organisational practices that spur older workers to sustain a strong trajectory of productive participation in the workforce.
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    Funded Activity

    Linkage Projects - Grant ID: LP110200118

    Funder
    Australian Research Council
    Funding Amount
    $342,000.00
    Summary
    Next generation Customer Relationship Management (CRM) framework through intelligence and relationships from multiple information sources. In the current competitive times, organisations need to improve their service delivery and customer care processes and provide customised service to customers. This project develops a Customer Relationship Management (CRM) framework that can extract intelligence and relationships from multiple data sources to improve customer management and satisfaction in pu .... Next generation Customer Relationship Management (CRM) framework through intelligence and relationships from multiple information sources. In the current competitive times, organisations need to improve their service delivery and customer care processes and provide customised service to customers. This project develops a Customer Relationship Management (CRM) framework that can extract intelligence and relationships from multiple data sources to improve customer management and satisfaction in public and private organisations.
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