By András Gábor, Andrea Kő
This e-book investigates organizational studying from quite a few details processing views. non-stop swap and complexity in regulatory, social and monetary environments are more and more forcing companies and their staff to procure the required job-specific wisdom on the correct time and within the correct structure. even though many regulatory files are actually to be had in electronic shape, their complexity and variety make making a choice on the correct components for a selected context a not easy activity. In such eventualities, enterprise methods are usually vital resources of information, containing wealthy yet in lots of instances embedded, hidden wisdom.
This publication discusses the potential connection among enterprise method versions and company wisdom resources; wisdom extraction techniques in response to organizational methods; constructing and protecting company wisdom bases; and semantic enterprise method administration and its relation to organizational studying techniques. the person chapters demonstrate the several parts of a data administration resolution designed to extract, set up and shield the data embedded in company methods with a view to: enhance organizational wisdom bases in a scientific and regulated approach, help staff in buying task role-specific wisdom, advertise organizational studying, and steer human capital funding. All of those issues are analyzed at the foundation of real-world situations from the domain names of coverage, meals defense, innovation, and funding.
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Extra resources for Corporate Knowledge Discovery and Organizational Learning: The Role, Importance, and Application of Semantic Business Process Management
Business Process Management Journal, 10(5), 551–569. , & Stojanovic, N. (2007). A formal approach for internal controls compliance in business processes. 8th Workshop on Business Process Modeling, Development, and Support (BPMDS07), Trondheim, Norway. , & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies create the dynamics of innovation. New York: Oxford university press. ¨ rtenblad, A. (2015). Towards increased relevance: Context-adapted models of the learning organiO zation.
3 Insurance Our project partner is a middle-sized, Hungarian insurance company operating both in the Life and Non-Life line of insurance business. The insurance company is relatively young; it was founded by Hungarian stakeholders only 8 years ago. In the course of the Insurance pilot of the ProKEX project, we have modelled close to 100 processes of an insurance company. For the case study we selected two complex processes that help us envision the proposed solution. Loss Claim Management The first process is the loss claim management of the Non-Life branch.
If both types of risk assessment have been successfully concluded the new business department makes sure that all the necessary proclamations and statements have been received by the insurer. 5 Future Development The ProKEX solution has more potential for future development (Ga´bor et al. 2013). The process model export enables the creation of process ontology. Process ontology (see Chapter “Corporate semantic business process management” for 28 A. Ga´bor et al. Fig. 5 ProKEX future development opportunities details) differs from the domain ontology, since it is rather the ontological representation of the processes including tasks and task attributes than the representation of the underlying concept hierarchy.