Importance of Change Management and Adaptation in the Field of Digital Transformation with Specific Focus on Digital Cfo

Abstract

Introduction                               

In today’s day and age due to the advent of technology in the digital era. digitization plays a very crucial role in the MSME sector of India. This mentioned MSME sector in India is further expanding rapidly by the emergence of the ONDC providing a level playing field for all suppliers and buyers thereby substantially increasing the number of buyers and sellers that results in much more information documents of buyers and sellers to a very large scale. These information documents are being transitioned into digital form from the physical form, In this process of transforming of documents from the physical form to the digital form, information systems is the backbone of delivery of the process. These Information Systems in the  digital platforms need to be adapted accurately at regular time intervals by accurately combining change management and technology to devise the optimum strategy to internally adapt the information systems of the digital platform in order to sustain with maximum efficiency  in the external environment that is dynamically changing and evolving in this digital era. For this the Digital CFO platform that is an SaaS has demonstrated exemplary competence by implementing adaptation in the form of Artificial Intelligence in the information systems of the digital platform thereby maximizing the efficiency of the mentioned digital platform in the processes of finance management , accounts, book keeping, reporting and analytics with maximum efficiency and sustainability. Therefore, change management and adaptation indicates to be highly crucial in the field of digital transformation.

Objectives

The Objectives of this research paper are to endorse the importance accurately combining change management and technology to formulate the optimum strategy for Information Systems adaptation which in this case is the SaaS platform of DigitalCFO used for the digitization of financial documents. As Information Systems form the backbone of delivery for the digitization platforms including the SaaS platform of Digital CFO, need constant adaptation internally for external sustainability. So the Co-efficient of Progressive Adaptation i.e the new method of Information Systems efficiency management examined and analysed in comparison and contrast to existing methods is aimed to be indicated as the solution.

Methods

As mentioned above, existing methods of Information Systems efficiency management were examined and analysed. This was done by conceptual research in the form literature review by viewing more than 50 citations published on and after 2021 on the topic of methods used for  information Systems efficiency management such as T.P.M., T.Q.M. , O.E.E. and D.M.A.I.C. Gap analysis was used to endorse this new method -the Co-efficient of Progressive Adaptation that was also used to ontologically link the aggregate findings from the conceptual research to the aggregate seminal findings from the empirical research thus endorsing the result.

Result

 Efficiency of this Information Systems platform by the implementation of the Co-efficient of Progressive Adaptation. The results pre-adaptation and post adaptation were significantly different specifically by the endorsement of 70% increase in efficiency, 90% increase in accuracy and per person yield increase by 3 times.

Conclusion

Thus, the Co-efficient of Progressive Adaptation is very crucial and to be implemented for Information Systems adaptation particularly in the Information Systems forming the backbone of delivery for digitization platforms as demonstrated in this example of the SaaS platform of Digital CFO. Use of AI included in the Co-efficient of Progressive Adaptation in this mentioned SaaS platform demonstrated significant increase in efficiency due to internal adaptation for external sustainability. This internal adaptation involved the accurate combination of change management and technology that in this case included Knowledge Management Systems , Cloud integration and Big Data analytics owing to the paramount increase in the amount of digital data that has to accurately managed using the principle of knowledge management.