Beheruz N Sethna
Biographic Data
| ID | 7594539 |
|---|---|
| NAME | Beheruz N Sethna |
| GIVEN NAMES | Beheruz N |
| FAMILY NAME | Sethna |
| SIGNATURE | SETHNA B N |
| AFFILIATIONS | Lamar University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1991 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
An Integrated Statistical Methodology Approach to Enrollment Management
This study examines the decision‐making processes of prospective students and parents to establish an evidence‐based framework for higher education enrollment management. Utilizing a survey of 948 students and 990 parents, the research employs conjoint analysis, factor analysis, and cluster segmentation to identify key institutional choice drivers. Findings reveal that while academic reputation is the most influential attribute, decisions are pri…
The Equalization Phenomenon
New computer-based communications technologies make possible new or expanded forms of group work. Although earlier researchers suggest that scant social information in these technologies might cause status equalization in groups, no experimental test of this phenomenon has been made. In a laboratory experiment, we compared face-to-face communication with electronic mail in decision-making groups whose members differed in social status. We examine…
No prominent works on this page.
The Equalization Phenomenon
New computer-based communications technologies make possible new or expanded forms of group work. Although earlier researchers suggest that scant social information in these technologies might cause status equalization in groups, no experimental test of this phenomenon has been made. In a laboratory experiment, we compared face-to-face communication with electronic mail in decision-making groups whose members differed in social status. We examine…
An Integrated Statistical Methodology Approach to Enrollment Management
This study examines the decision‐making processes of prospective students and parents to establish an evidence‐based framework for higher education enrollment management. Utilizing a survey of 948 students and 990 parents, the research employs conjoint analysis, factor analysis, and cluster segmentation to identify key institutional choice drivers. Findings reveal that while academic reputation is the most influential attribute, decisions are pri…
Computer Science (1 work) · Conjoint analysis (1 work) · Customer Service Quality and Loyalty (1 work) · Engineering (1 work) · Enrollment management (1 work) · Epistemology (1 work) · Face (sociological concept (1 work) · Face-to-face (1 work) · Higher education (1 work) · Higher Education Research Studies (1 work)