Open Access. Powered by Scholars. Published by Universities.®

Business Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 2 of 2

Full-Text Articles in Business

Beauty Is In The Eye Of The Beholder: Toward A Contextual Understanding Of Compensation Of It Professionals Within And Across Geographies, Jonathan W. Whitaker, Sunil Mithas, Chewei Liu Jan 2018

Beauty Is In The Eye Of The Beholder: Toward A Contextual Understanding Of Compensation Of It Professionals Within And Across Geographies, Jonathan W. Whitaker, Sunil Mithas, Chewei Liu

Management Faculty Publications

How do multinational corporations (MNCs) and domestic firms compensate technical and managerial skills of knowledge workers within and across geographies? This paper answers this question by examining how developed economy MNCs and emerging economy firms value MBA education and firm-specific IT experience of IT professionals in India; and how developed economy MNCs value MBA education and firm-specific IT experience differently across India and the U.S. Our analyses of archival data on more than 20,000 IT professionals reveal two important findings. First, for IT professionals in India, the marginal effect of firm-specific IT experience on compensation is greater for developed economy …


Perceived Usefulness Of Expert Systems For Mba Advisement: A Discriminant Model, John K. S. Chong, Steven B. Moser Jan 1994

Perceived Usefulness Of Expert Systems For Mba Advisement: A Discriminant Model, John K. S. Chong, Steven B. Moser

Journal of International Information Management

Based on questionnaire data collected from 123 AACSB-accredited business schools, a discriminant model was developed to generate a descriptive profile of MBA Advisors in regard to their perceived usefulness of expert systems (ESs) for advising MBA students. Characteristics related to organization, advisee, advisor, and job/task structures were considered in formulating the model. Stepwise discriminant analysis resulted in 8 out of 15 independent variables entering the model.