Please note
- Please note submissions for TaSIC 2026 are now closed.
- Reviewers can login using the password emailed to you here. Reviewers login.
Key dates
| Details | Deadline |
|---|---|
| Direct short paper submission (up to 2,500 words) | Submission closed |
| Notification of acceptance | January 30, 2026 |
| Registration for the conference | February 10, 2026 |
| Conference presentation | February 20–21, 2026 |
Registration fees
| Conference fees for in-person presentation | ||
|---|---|---|
| Category | Payment dates | Fee |
| Doctoral Students | Not applicable | No participation fee |
| Academicians | On/before January 25, 2026 | $ 100/₹ 8500 (GST included) |
| Academicians | Between January 26, 2026 – February 10, 2026 | $ 125/₹ 10000 (GST included) |
| Conference fees for online presentation | ||
| Doctoral students and academicians | On/before February 10, 2026 | $ 75/₹ 6500 (GST included) |
| Conference fees for in-person non-author/ delegate participation | ||
| Doctoral students and academicians | On/before February 10, 2026 | $ 125/₹ 10000 (GST included) |
Please note
- All co-authors must register to attend the conference
- No spot registrations can be done.
Best Paper Awards
- Accepted papers presented at the conference will be considered for the Best Paper Award presentation under multiple categories. Each selected winner will be awarded a cash prize of ₹75,000.
Partner Journals
Selected papers presented at the conference will be considered for publication in our partner journals, including:
- The Journal of Indian Business Research
- Vikalpa: The Journal for Decision Makers
- The International Journal of Global Business and Competitiveness
- Public Administration and Policy—Special issue: Creation of public value through digital transformation and digital public infrastructure
- Review of Management Literature
- The South Asian Journal of Management
Contact information
For any queries regarding the submission process or the conference, please contact: tasic_acad@spjimr.org
Location
SPJIMR Mumbai