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

4186
4501

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

294
516

Intercultural Communication In The Global Work Place

350
364

Improving Productivity Using Lean Six-Sigma

242
449

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

238
428

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

Abstract ↓ PDF
174
239

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

Abstract ↓ PDF
122
194

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

Abstract ↓ PDF
90
242

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

Abstract ↓ PDF
130
314

Hybrid Information Theoretic Measures and Their Applications in Data Mining

Abstract ↓ PDF
97
206

Abstracting, Indexing & Scholarly Services