A New Paradigm Sixas® for Post-Covid19 Implementation for enhancing the Efficiency of Employee and Performance of an organization: A Case Study with Information Technology Sector

Abstract

We report the results of an empirical implementation of Sixas® a plugin and new-age model for enhancing the performance of the employee and the organization. The model’s six components that can influence the outcome of an employee and the organization are – Actualize, Adaptive, Agile, Align, Analytical, and Automate. The Sixas® model was used as a plugin to the existing performance evaluation systems to enhance performance and maximize efficiency. The authors have applied the Sixas® criterion, an EXEMPLARY framework --Explicit, Exciting, Manageable, Periodical, Levelheaded, Adjustable, Resilient, and Yielding for evaluating the important components that benefits the Information Technology sector. Based on the importance of the six influential components that benefit the IT sector the appropriateweights were allocated, and aligned with the eight said EXEMPLARY framework factors the assigning the weights based on their importance for these eight factors. The weights are given based on the importance and their influence on the outcome of employee and organization performance. The weights were multiplied, the importance score and importance of elements tabulated. The high-scoring component was given priority and appropriately addressed. Adaptability has scored high because the IT sector needs to adopt the new normal situations due to pandemic Covid-19, and Agility was scored as the second important factor and so on. Based on the scoring and importance of the six Sixas® elements policies were appropriately aligned in the organization. With this holistic approach, a cost-effective and trouble-free solution was identified.The feedforward method is driven by business, employee, and organizational performance enhancement.The commitment of management, with continuous monitoring in performance management through Sixas® components are essential in successfully implement the model.