Importance of “ The rate of change of progressive Adaptation of the concerned information systems is directly proportional to the efficiency of the same. Vice-versa” in the Indian e-Commerce sector

Abstract

Introduction

Technological advent that includes digital disruption, IoT, Industry 4.0, 5G, Augmented Reality(A.R.), Virtual Reality (V.R.) and Society 5.0 plays a significant role  e-Commerce  and  changes the perception of the market as e-Commerce makes the market come to the consumer practically  any time 24/7 rather  than the traditional method consumer going to the market . In India the Open Network for Digital Commerce (ONDC) platform by the government of India  provides a level playing field for all suppliers and buyers thereby reducing monopoly resulting in many more options for buyers and sellers and even increases the consumers’ demands. Customer satisfaction is utmost crucial for profit maximization and sustainability. Customer Relationship Management is the core method of maximizing customer satisfaction. Customer Relationship Management and e-Commerce have Information Systems(I.S) as the  backbone of delivery. Thus, information systems need to be adapted on a timely basis. This timely adaptation requires the accurate combination of change management and technology to device the optimum  internally in order to face the external environment.

Objectives

To endorse the new method of Information Systems efficiency management called the CPA a.k.a. the Co-efficient of Progressive Adaptation that has the competitive advantage over other methods such as T.P.M., T.Q.M., O.E.E., and D.M.A.I.C. that in aggregate lack certain essentialities that , the lack of which can effect the Information Systems efficiency in terms of steady decline over a constant period of time.

Methods

This research paper used mixed research methodologies by combining conceptual research in terms of reviewing more than 50 articles on the topic of Information Systems efficiency management published during and after 2021 and analysing them on the theme of Information Systems efficiency management. The combined aggregate was further endorsed by epistemology and this consolidated aggregate was linked using the Co-efficient of Progressive Adaptation to the consolidated aggregate of the seminal findings from empirical research that were further progressively consolidated by the implementation of phenomenology thereby indicating the clear result.

Results

Adaptation using automation and integration of Artificial Intelligence (A.I.) and Knowledge Management Systems(K.M.S.) prominently optimize I.S. efficiency in e-commerce and customer relationship management as indicated demonstrated increased efficiency of the e-Commerce, C.R.M. platforms and digitization platforms such as 62% reduction in manual labour costs and increased productivity per-person output increased 3x compared to industry benchmarks (e.g., 120 transactions/day vs.40).

Conclusion

Co-efficient of Progressive Adaptation which states that : “ The rate of change of  progressive Adaptation of the concerned information systems is directly proportional to the efficiency of the same. Vice-versa” , is highly crucial for maximizing efficiency of the e-Commerce C.R.M. platforms in the Indian e-Commerce sector that have Information Systems as the backbone of delivery. Thus, the Co-efficient of Progressive Adaptation is to be implemented for the  internal Information Systems adaptation resulting in external sustainability of the e-Commerce and C.R.M. platforms.  This Information systems adaptation is to be done by the optimum Information Systems adaptation strategy formulated by accurately combining change management and technology.