Leading AI-Driven Change: A Framework for Successful Digital Transformation in Enterprises

Business enterprises are increasingly transforming their traditional business models into technology enabled digitalized business models to gain sustainability in the competitive market. The necessity of embarking on digital transformation has already been felt by business enterprises in order to sustain themselves in the world of business. However, some particular capabilities are required at micro-foundation level for exploiting this paradigm shift successfully towards digital transformation. In the journey of digital transformation, some particular digital skills and competencies are essential to achieve success at micro-foundational level. In the age of Artificial Intelligence, business enterprises would have to evolve and innovate products and services. In this new era, business firms should learn innovation and digitalization of the core of their business by adopting AI as it is the center of journey of digital transformation. Rapidly advancing digital technologies like artificial intelligence, smart technologies, automation, cloud computing, robotics, and Internet of Things (IoT) are changing the nature of work fundamentally and have increased the concern regarding future of jobs and organizations. In order to keep pace with the rapid disruption, business firms must keep updating and transforming the models of their business in order to remain competitive. Meanwhile, the growing advance technologies are changing the skill type and capabilities required at the workplace and demand the shift in the individual mindset.

Authors

Publication Details

Journal
Communications on Applied Nonlinear Analysis
Published
2025-02-20
DOI
https://doi.org/10.52783/cana.v32.6002
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leading AI-Driven Change: A Framework for Successful Digital Transformation in Enterprises

Sagar Bhadange Sanjay Salunkhe
Communications on Applied Nonlinear Analysis
Digital Transformation in Industry
article

Leading AI-Driven Change: A Framework for Successful Digital Transformation in Enterprises

Sagar Bhadange Sanjay Salunkhe
article en

Abstract

Business enterprises are increasingly transforming their traditional business models into technology enabled digitalized business models to gain sustainability in the competitive market. The necessity of embarking on digital transformation has already been felt by business enterprises in order to sustain themselves in the world of business. However, some particular capabilities are required at micro-foundation level for exploiting this paradigm shift successfully towards digital transformation. In the journey of digital transformation, some particular digital skills and competencies are essential to achieve success at micro-foundational level. In the age of Artificial Intelligence, business enterprises would have to evolve and innovate products and services. In this new era, business firms should learn innovation and digitalization of the core of their business by adopting AI as it is the center of journey of digital transformation. Rapidly advancing digital technologies like artificial intelligence, smart technologies, automation, cloud computing, robotics, and Internet of Things (IoT) are changing the nature of work fundamentally and have increased the concern regarding future of jobs and organizations. In order to keep pace with the rapid disruption, business firms must keep updating and transforming the models of their business in order to remain competitive. Meanwhile, the growing advance technologies are changing the skill type and capabilities required at the workplace and demand the shift in the individual mindset.

Communications on Applied Nonlinear AnalysisVol. 32(2)
Openalex Percentile: Top 67%
Digital Transformation in Industry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.