SIXAS®” : AN AUXILIARY NEW-AGE MODEL DECODED FOR MEASURING THE EFFECTIVENESS OF PERFORMANCE OF BOTH AN ORGANIZATION AND THE EMPLOYEES
Journal: International Journal of Management (IJM) (Vol.11, No. 7)Publication Date: 2020-07-31
Authors : Dr Mruthyanjaya Rao Mangipudi Dr KDV Prasad;
Page : 1156-1174
Keywords : Sixas®; Actualize; Adaptive; Agile; Align; Analytical; Automate; EXEMPLARY; performance management; Post Covid-19 practice; Feedforward; methodology; JEMS Matrix;
Abstract
The purpose of this paper is to present Sixas® an auxiliary new-age model decoded for measuring the performance effectiveness of both an organization and an employee. The model was developed upon critically reviewing the present models and human resources practices of most successful organizations. The model's six impactful elements i.e., Actualize, Adaptive, Agile, Align, Analytical, and Automate are the basis for calling the model so. The Sixas® model acts as a plugin to any existing performance evaluation systems that organizations follow and this can be integrated into any core engines of PMSs of any organization to maximize efficiency and productivity. Sixas® amalgamates with the dimensions of any organization like its System, mechanism, operation, evaluation, method, and ways and means. The Sixas® criteria can be set through the EXEMPLARY framework -- Explicit, Exciting, Manageable, Periodical, Levelheaded, Adjustable, Resilient, and Yielding. The scope, objectives, and establishment process of the said model are detailed in the manuscript. In the context of converting adversaries into opportunities, this model serves the purpose of adopting the new normal in this era of globalization and pandemic situations like the one we live in during the Covid-19 lockdown this model represents a holistic perspective. It is a cost-effective yet trouble-free integration. It is driven by business, performance achievement and introspection with feedforward methodology. These are the salient features of the model. However, the commitment of managemen
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