header-banner
41+
Published Editions
20+
Years of Publishing
294+
Research Articles
3×
Indexed Directories
Editor-in-Chief Dr. S. N. Maheshwari
ISSN (Print) 0972-9658
e-ISSN Applied for
Frequency biannual
Starting Year 2004
Language English
Institute Delhi Institute of Advanced Studies
Address Plot No 6, Sector-25, Rohini New Delhi - 110085
co-publisher Infokart India
Journal Website https://journalskart.com/journals/dias-technology-review
call-for-paper Announcement

Call for Research Papers

Submit your original research and be part of our upcoming issue.

⚠ Articles must be submitted through the Author's Portal login only. Submissions through email will not be accepted.
Submit Now

About the Journal

The Institute has a unique distinction of publishing a bi-annual International journal DIAS Technology Review – The International Journal for Business and IT. The Editorial Board comprises of eminent persons from all over the globe. It is a refereed journal containing well-researched articles in diverse fields written by eminent academicians & professionals across the globe. The journal is listed in the Cabell’s Directory, USA, Social Science Research Network (SSRN) & Ulrich’s Periodical Directory.

Articles

Management Information Systems

4961
5119

Organizational Commitment Among Gen Z: The Role of Job Security, Development, and Well-being

324
589

Intercultural Communication In The Global Work Place

387
394

Improving Productivity Using Lean Six-Sigma

268
506

GDP Composition and Sector-Wise Growth Trends in India: Evidences from Post-Reform Period

258
441

Defining the Factor Structure of Moonlighting: Implications for the Future Workplace

Abstract ↓ PDF
211
278

Charting Path: Sustainable Startups and Their Role in Global Sustainability Transitions

Abstract ↓ PDF
143
218

Development of an Early Warning System for Slope Instability in Opencast Coal Mines Using Geo-Spatial AI

Abstract ↓ PDF
109
271

Sentiment-Driven Market Dynamics: Evidence from Google Trends and Indian Stock Indices

Abstract ↓ PDF
206
359

Hybrid Information Theoretic Measures and Their Applications in Data Mining

Abstract ↓ PDF
116
261

Abstracting, Indexing & Scholarly Services