As Hult MBA candidates with completed degrees and graduation
in the near horizon, we begin to reflect upon the important relationships and
connections we have formed throughout the year. Furthermore we ponder on how
these relationships and networks will look 5-10-30 years from now. One of Hult’s key selling points for the
one-year MBA program is the strong corporate network we build. Post-graduation, Hult emphasizes how this
network can be supported and strengthened by the Hult Alumni
Association and their tools. Moreover, Hult states that the key resources for
this corporate network will be Hult/ADL Alumni who hold senior positions in
leading companies and public institutions around the world. The Alumni
Association thereby positions itself as a middleman to keep post-graduated
students linked.
With the development of technology and social media
platforms, such as Facebook and LinkedIn, connecting us at all times and in all
regions; how effective is the Hult Alumni Network Association in reality? Do
future alum’s of Hult need the Alumni Association to stay connected? The
challenge I recognize is that Alumni Associations may have less of an impact on
corporate and social networks for university alum’s, as social media is taking
over and becoming an integrated tool. Therefore, if I had unlimited resources,
time and access to information I would like to analyze what role and impact the
Hult Alumni Association has in these post-graduation networks. The Social Network Analysis (SNA) will show
how the Association as a “portal” potentially connects us and at what level or
function. This could be professionally,
socially, and/or academically. Moreover, the SNA will address whether alum’s
are actually using the portal or if they rather use Facebook and LinkedIn
directly. The analysis may also detect if the Hult ADL/Alumni who hold senior
positions are in fact key individuals for the network or if there are other
potential “brokers” linking people and bridging gaps (regional, industry, etc.)
Overall, the SNA can provide map and insights as to how effective the Hult Alumni
Association is.
The initial data needed for the analysis is a list of
Hult Alumni students who actively utilize the Association as a platform to: reach
other alumni, become members of alumni clubs worldwide, contact Hult
entrepreneurs, attend regional and campus events, access affinity programs and
find other activities of interest. Through for example a survey, the level of
engagement could be ranked, providing an overview of “very active” vs. “less-“
or “non-active” alums. This data should
be relatively easy to gather, as the Association should have good track records
of such interactions. The individual profile for each student (name, gender,
age, nationality, background, campus, post-graduate position, etc.) has already
been gathered through registration processes. Thus this is also easily
accessible data to be used to create a more detailed map of the “active” alumni.
Data could then be collected from “non-active” alumni on how they alternatively
choose to stay connected with peers and top reasons for why the Association is
not used as a portal. This would measure
the importance of other tools, such as Facebook, in relevance to the Alumni
Associations. The stated reasons could however be very subjective and therefore
make it more difficult to create a uniformed picture as to why students are not
using the Association as a connecting platform. The challenge may be overcome
by creating a survey with a limited number of standard reasons, which could
provide a more “focused” outcome.
For the “active” member mapping, it would be
essential to collect data and measure who is reaching out to whom through the Association
and for what purpose: professional (e.g. for jobs, career advice, professional
support/guidance), social or academic. This could create an illustration of central
individuals and their role in the network map. This would answer the question
as to whether the alumni with senior positions are key resources or if other
individuals may have a larger influence (e.g. someone with a lower professional
position, but with strong social and professional ties). Here we can use the
centrality measure “Degree” to find nodes with the most connections. We can
also measure “Betweenness” and identify “connectors” with the most paths
between other individuals and then compare their level of engagement within the
Alumni Association to determine potential correlations. The SNA could also
detect patterns on whether there are certain individuals with specific
attributes that are sought after and become focal points. This visualization
and measurement will give an indication of how the Association functions as a
network, both corporate wise and socially. Data on the frequency of using the Alumni
Association vs. direct social media communication could also be gathered
amongst these “active” members. The Hult Alumni Association has developed
individual mobile applications to connect alum’s and also a separate LinkedIn
page and Twitter account. It could be interesting to measure the use patterns
of these mobile apps and owned media pages comparatively to the direct use of
Facebook and individual LinkedIn profiles.
I believe the SNA will not only allow the Association
to understand more accurately how well their corporate network functions and
serves alumni; but it also can provide insights on how to improve the operations
and services of the organization in the future. The truth is that most of us
wish to sustain the meaningful relationships we have established with peers
from Hult and therefore seek the best and most effective platforms to do so. SNA
will help determine whether the Hult Alumni Association is such a platform.
- Linnea Blystad
3 comments:
You know that this is already a subject of interest to me and to my students (I assume you've read the several blog posts from my former students.) You do provide some new insight. Determining the type of connection (e.g. professional or social as we did with the class,) makes sense. The level of activity is also a good idea. How you define it and measure it is the key, as otherwise it's a bit slippery. Maybe just binary: you are active, or you're not. I would have liked to see more on how "SNA could detect patterns"--some examples would have been nice. This is a helpful start--why not suggest it to the HAA? Here's an offer: make an alumni project out of it, and I will get students in next year's SNO class to work on it?
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