Organizational Biology And The Information Management

1661 Words7 Pages
Within Synaptic’s organization, there is a distinct disconnect between the Computational Biology and the Information Management (IM) groups. There is a visible lack of knowledge and information sharing between the two. Drastic measures must take place so they can learn to work together to bridge the gap that is between them. Project governance is desperately needed by both the Computational Biology and IM groups as well as the overall organization. Problem Definition: Cultural Challenges Differences in culture between the scientists and IM is the root cause for disconnect between the two groups. The scientist’s preference is to work alone. They do not see the value of working in a group sharing ideas, successes or failures and think it is a waste of time (Makarov, 2012, p. 1). The IM department is the polar opposite; they need, and rely on, team interaction and make most of their decisions when discussing topics in team meetings. While the scientists “value innovation, originality and speed”, IM are most concerned with “stability, business continuity, documentation and long-term planning” (Makarov, 2012, p. 1). With such differences in priority and personalities, it’s no wonder frustration levels are so high. The scientists think that IM works at too slow of a development pace and blame that on all the documentation and governance that is practiced. They believe it to be bureaucratic and a complete waste of time. The fact that they are also using technology that is not as
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