Submitted by: Submitted by vandanashastri
Views: 102
Words: 377
Pages: 2
Category: Business and Industry
Date Submitted: 09/22/2014 05:07 PM
My background in engineering and management has prepared me for a career as a researcher
and faculty. My aptitude and talent in interdisciplinary research is a great advantage to me as
a researcher. After a fulfilling period as a faculty after my B.E degree in Computer Science, I
felt a strong desire to pursue a career that combined IT with management and teaching with
research. This led me to joining the IME department at IIT Kanpur, which provided the best
post-graduation program for an aspiring young researcher and faculty.
My doctoral dissertation was conducted under the guidance of Dr. Veena Bansal, titled
“Bridging the Information Gap between Requirements Engineering and Configuration phases
in an ERP Implementation”. The motivation for this research topic was that various
researches stated that 90% ERP projects spend more than their allocated budgets and
exceeded the time schedule for implementation. The success rate of ERP implementation is
below 30%. There are many factors that can be attributed to the low success rate of
implementation but one main factor is the complexity of the ERP package itself. As there was
not much academic work done in this area, my initial research effort was to find the
underlying reason for the complexity of ERP packages and to quantify the complexity. This
research effort leads to a publication as a book chapter in Springer series, 2008.
(http://www.springerlink.com/content/l264055127332117/). One of the takeaways of this
research effort was that there exists an information gap between Requirement Engineering
and Configuration phases in an ERP implementation. This information gap could be
minimized by capturing configuration specific requirements while gathering requirements in
RE phase. Existing business process modeling and data modeling techniques were analyzed
and it was concluded that these techniques could not model configuration specific
requirements completely. Hence, a model...