Generative process model building

Author(s):  
Thomas J. Fararo
Author(s):  
Judit Olah ◽  
Ole Axvig

In a modern enterprise environment, many information resources are available to people working to produce valuable output. Due to technology proliferation, remote work access, and multiple geographical locations generating their own solutions for local infrastructure challenges, as well as the fact that modern professionals are tasked to make decisions autonomously, it is not self-evident what types of information resources could or should be accessed in what order in order to move processes towards the desired product outcome. Our integrated model was developed using the results of an empirical study. The model puts a user-centered focus on business process model building by mapping all information interactions surrounding the business processes (i.e. creation, storage, management, retrieval of documents/ contents as well as information and data). The model characterizes the business processes by types of information interaction, analyzes process phases by those interactions and evaluates actual locations of information content extractions.


Author(s):  
DIETMAR PFAHL ◽  
KARL LEBSANFT

System Dynamics (SD) is a method that allows for integrated modelling of technical as well as managerial aspects responsible for the dynamic complexity of systems. Therefore, simulation of SD models can also be a tool for problem analysis within software organisations. In this paper, experience with SD modelling of software processes and projects within Siemens is reported. Special focus is put on problems encountered during knowledge acquisition for SD model building, like inadequate guidance while conducting SD modelling projects, and insufficient methodical support for re-using available or generating missing knowledge. Both problems were addressed in a research project, jointly conducted by Fraunhofer IESE and Siemens Corporate Technology. One of the results of this project is a prescriptive process model for building SD models. This process model, which is briefly outlined in the paper, provides guidance for a systematic development of SD models in software organisations.


Author(s):  
Judit Olah ◽  
Ole Axvig

In a modern enterprise environment, many information resources are available to people working to produce valuable output. Due to technology proliferation, remote work access, and multiple geographical locations generating their own solutions for local infrastructure challenges, as well as the fact that modern professionals are tasked to make decisions autonomously, it is not self-evident what types of information resources could or should be accessed in what order in order to move processes towards the desired product outcome. Our integrated model was developed using the results of an empirical study. The model puts a user-centered focus on business process model building by mapping all information interactions surrounding the business processes (i.e. creation, storage, management, retrieval of documents/ contents as well as information and data). The model characterizes the business processes by types of information interaction, analyzes process phases by those interactions and evaluates actual locations of information content extractions.


Author(s):  
Charles Beck

An integrative, systems-based model of knowledge sharing can provide a way of visualizing the interrelated elements that comprise a knowledge management system. This original model, building on a rhetorical process model of communication, includes both the objective and subjective elements within the human cognition. In addition, it clarifies the purpose and method elements at the center for any effective knowledge system. The model centers on the purpose elements of intentions and audience, and the method elements of technical tools and human processes. The output of knowledge sharing includes objective products and subjective interpretations. Feedback verifies the timeliness and efficiency in the process of building both information and knowledge.


Author(s):  
Martin Shubik ◽  
Eric Smith

The previous chapters have developed structure and provided proofs in principle as to how to build and analyse multistage models with simple assumptions about behavior. The hyper-astronomical explosion of special cases is to be welcomed as indicating that the initial timeless tight system, when converted to a loosely coupled process model, calls for both the specification of ad hoc questions and the supply of ad hoc model building of the detail needed to make it feasible to provide useful answers in any applications. We summarize the five dynamic models we analysed; but stress that in application there is no substitute for knowing both the relevant details and the behavioral considerations of the situation at hand. The dynamics of the steel industry requires details concerning both structure and behavior, as these are contrasted for example with selling high end art. In this chapter we examine the functioning of the double auction market and comment on trading mechanisms. Finally we discuss the relationship among solutions, structure and behaviour, closing with observations on dynamics and complexity and the false dichotomy between “Rational” or “Behavioral Agents”. For most individuals without deep psychological problems “context rationality” may provide a reasonable description.


2010 ◽  
pp. 325-342
Author(s):  
Judit Olah ◽  
Ole Axvig

In a modern enterprise environment, many information resources are available to people working to produce valuable output. Due to technology proliferation, remote work access, and multiple geographical locations generating their own solutions for local infrastructure challenges, as well as the fact that modern professionals are tasked to make decisions autonomously, it is not self-evident what types of information resources could or should be accessed in what order in order to move processes towards the desired product outcome. Our integrated model was developed using the results of an empirical study. The model puts a user-centered focus on business process model building by mapping all information interactions surrounding the business processes (i.e. creation, storage, management, retrieval of documents/ contents as well as information and data). The model characterizes the business processes by types of information interaction, analyzes process phases by those interactions and evaluates actual locations of information content extractions.


Dealing with large number of textual documents needs proven models that leverage the efficiency in processing. Text mining needs such models to have meaningful approaches to extract latent features from document collection. Latent Dirichlet allocation (LDA) is one such probabilistic generative process model that helps in representing document collections in a systematic approach. In many text mining applications LDA is useful as it supports many models. One such model is known as Topic Model. However, topic models LDA needs to be improved in order to exploit latent feature vector representations of words trained on large corpora to improve word-topic mapping learnt on smaller corpus. With respect to document clustering and document classification, it is essential to have a novel topic models to improve performance. In this paper, an improved topic model is proposed and implemented using LDA which exploits the benefits of Word2Vec tool to have pre-trained word vectors so as to achieve the desired enhancement. A prototype application is built to demonstrate the proof of the concept with text mining operations like document clustering.


2009 ◽  
pp. 1967-1979
Author(s):  
Charles E. Beck

An integrative, systems-based model of knowledge sharing can provide a way of visualizing the interrelated elements that comprise a knowledge management system. This original model, building on a rhetorical process model of communication, includes both the objective and subjective elements within the human cognition. In addition, it clarifies the purpose and method elements at the center for any effective knowledge system. The model centers on the purpose elements of intentions and audience, and the method elements of technical tools and human processes. The output of knowledge sharing includes objective products and subjective interpretations. Feedback verifies the timeliness and efficiency in the process of building both information and knowledge.


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