In light of the difficulties organizations now confront, there is a growing realization that future market performance and the ability of businesses to remain in business for the long term will be closely tied. However, this calls for a considerably deeper integration of information processing studies and organizational theory than has hitherto been the case. This position paper contends that TM (transactional memory), enhanced with aspects of SMT (simultaneous multithreading), and transferred into the DSM (distributed shared memory) environment, is the most appropriate computer architecture for knowledge processing in bioinformatics. The shared memory multiprocessor context in which TM is currently implemented and without a lot of SMT support the study discusses the topic of decision making (DM) applied to knowledge processing for the necessity of bioinformatics in order to support this stance. If the input data are in text form, the primary concept is to have an automatic reasoning mechanism Judgment Making System (DMS) capable of making a decision (connected to the associated question) (like it is the case in genomic processing).