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The purpose of this contribution is to motivate a new, rapid approach to modeling knowledge work in organizational settings and to introduce a software tool that demonstrates the viability of the envisioned concept.

Based on existing modeling structures, the KnowFlow toolset that aids knowledge analysts in rapidly conducting interviews and in conducting multi‐perspective analysis of organizational knowledge work is introduced.

This article demonstrates how rapid knowledge work visualization can be conducted largely without human modelers by developing an interview structure that allows for self‐service interviews. Two application scenarios illustrate the pressing need for and the potentials of rapid knowledge work visualizations in organizational settings.

The efforts necessary for traditional modeling approaches in the area of knowledge management are often prohibitive. This contribution argues that future research needs to take economical constraints of organizational settings into account in order to be able to realize the full potential of knowledge work management.

This work picks up a problem identified in practice and proposes the novel concept of rapid knowledge work visualization for making knowledge work modeling in organizations more feasible.

This work develops a vision of rapid knowledge work visualization and introduces a tool‐supported approach that addresses some of the identified challenges.

The purpose of this research is to aim to improve the cognitive understanding of knowledge processing and provide a cognitive knowledge modeling method in product design.

In this paper, a cognitive model of knowledge processing is described. A cognitive knowledge modeling method is presented. Suggestions on cognitive support for knowledge based systems are provided.

There is often a fundamental mismatch between the way human process knowledge and the way it is processed by technology for supporting product design. It is necessary to develop tools, methods and technology which integrate seamlessly with the design process. This study focuses on the internal human activities and explores knowledge management research from a human factors perspective. Cognitive knowledge modeling will result in a natural integration of knowledge‐based systems into the design process.

This study uses an experimental approach and hopefully the research can therefore be generalized to other situations.

This study provides guidelines for cognitive support for knowledge‐based systems.

Cognitive knowledge processing is described and a cognitive knowledge modeling method is presented. The paper explores knowledge management research by analyzing human activities, in combination with the study of management and engineering technologies.

The aim of this paper is to develop, test and improve a method that draws upon business process improvement literature and combines it with knowledge management approaches for modeling and analyzing knowledge‐intensive business processes.

Analyzing and integrating previous meta models served in knowledge oriented business process researches, a preliminary meta model was developed for modeling knowledge‐intensive business processes. Then an initial version of Proper Arrangement of Knowledge Management Processes (PAKMP) framework was developed according to the knowledge management processes approaches. Third round of interviews with process 137 members were conducted in order to test applicability and completeness of both preliminary meta model and initial version of PAKMP framework in order to improve them. In addition, a five‐steps analysis method achieved through case study which is based on the application of both final Meta model and PAKMP framework. In fact this five‐steps method was applied in Tehran's Municipality which redounded to improve preliminary meta model and initial version of PAKMP framework and endorsed the applicability of the proposed method in real world.

This paper has a contribution in enriching the literature related to integrating KM efforts and BPM efforts by presenting a five‐steps analysis method and testing it in a real case. This method considers both KM and business process management points of view.

The general applicability of the method due to the weak generalization of the single case study is a limitation.

This paper combines the advantages of the business process improvement and knowledge management approaches and suggests a practical method for modeling and analyzing the knowledge management status in knowledge‐intensive business processes. After analysis, managers should put emphasis on improving the arrangement of KM processes for critical knowledge objects which led to improve the performance of knowledge‐intensive business process trough removing KM problems. The paper concludes by suggesting some topics for future research.

The purpose of this paper is to demonstrate the application of UML extensions on the elicitation of the knowledge that is intrinsic to the business processes of electronic government that will be available on digital TV.

Based on the understanding that: knowledge of e‐government is inherent in the applications available to the citizen; these applications aggregate content and services; and business processes result in products or services that are available for the citizen, this study seeks to, through the use of diagrams proposed by Eriksson and Penker, elicit the knowledge intrinsic to business processes, facilitating the development of applications destined to digital TV.

The proposed model facilitates the understanding of business processes and the identification of opportunities for improvement. The application of the BP diagram has enabled the authors to obtain an overview of all elements participating in the process as well as detail the relationship between them in a single diagram to facilitate the understanding of the process as a whole and assist its implementation. The assembly line diagram not only highlighted the interaction between business processes and information objects read and written in the assembly line, but also aided the identification of use cases that support the actors of the system and, consequently, the preparation of the t‐Government application requirements. The activity diagram provided highlights of how the activities that comprise the processes interact among each other and what flow of action is necessary to achieve the goal of the business process.

It is worth mentioning that what is being dealt with here is t‐Government applications accessible via iDTV (a fixed device). It is also understood that such applications are not tied to a specific TV program, since they are treated as resident applications; that is, citizens download them from an STB TV Channel and can interact with them whenever they want, regardless of the program that is being aired at the moment.

The use of unified modeling language (UML) extensions as a technique for knowledge modeling is a domain still little explored in literature. Although UML was originally designed to assist in systems modeling, its application has been extended to business and knowledge modeling.

As economies move into the information age and post‐industrial era, information and knowledge become important resources to organizations. The article sets out to discuss the role and contribution of business process modeling (BPM) in the knowledge management initiative and in the management of company‐specific knowledge.

The authors consider BPM as a tool for knowledge management that allows the transformation of informal knowledge into formal knowledge and facilitates its externalization and sharing. The article starts with the brief introduction of the theoretical background of business process modeling and its basic concepts, and also presents definitions and concepts of major knowledge categories, knowledge processes and knowledge resources, as have been given by different authors in the knowledge management (KM) domain. These definitions are used as a basis for the knowledge category model and knowledge process model proposed by the authors.

The article presents findings of the mapping process of the BPM concepts into the knowledge life‐cycle model, proposed by Nonaka and Takeuchi and knowledge categories defined by different authors. During mapping, the authors experienced a lack of explicit and widely accepted definitions of knowledge categories and knowledge processes in respect of all knowledge features.

The article emphasizes an important differentiation between various categories of knowledge, identified in the BPM process, as a basis for the business process‐related knowledge categorization and identification of key knowledge processes. The article also presents the theoretical framework, which gives an account of how and when business process models capture and allow the sharing of knowledge. The framework identifies key knowledge categories, stages in knowledge transformation, and activities in this process.

This paper presents a new solution for conceptually modeling the training‐domain knowledge of intelligent computerassisted instructional (ICAI) systems. Various cognitive demands from learners impose various modalities of presenting and structuring the knowledge to be taught. This paper is presenting a theoretical framework allowing to develop coherent, flexible models for the training‐domain knowledge of an ICAI system. A case study and an authoring‐system are also presented, in order to describe the main features of the modeling methods. This new approach in ICAI systems’ domain‐knowledge structuring and representation can offer a solution to the problem of adapting the instructional system interaction to users with different learning styles and needs.

To provide a selective bibliography for researchers and practitioners interested in database modeling of engineering information with sources which can help them develop engineering information systems.

Identifies the requirements for engineering information modeling and then investigates how current database models satisfy these requirements at two levels: conceptual data models and logical database models.

Presents the relationships among the conceptual data models and the logical database models for engineering information modeling viewed from database conceptual design.

Currently few papers provide comprehensive discussions about how current engineering information modeling can be supported by database technologies. This paper fills this gap. The contribution of the paper is to identify the direction of database study viewed from engineering applications and provide a guidance of information modeling for engineering design, manufacturing, and production management.

This book aims to examine how modeling can be applicable toward local adaptation to climate change, using the Hindu Kush-Himalayas (HKH) as a case study. This introductory chapter sets the stage by summarizing mountain systems and change in the context of the HKH, especially highlighting the importance of involving mountain peoples in any discussion and work. Then, each chapter is summarized. In the final section, limitations and extensions of the work here are reported, focused on developing, testing, and implementing solutions on the terms of the people most affected without losing sight of wider contexts. Modeling is one knowledge system among many that is needed for adaptation and other development work in the HKH and other mountain areas.

From knowledge management point of view, business process models and ontologies are two essential knowledge artifacts for organizations that consume similar information sources. In this study, the PROMPTUM method for integrated process modeling and ontology development that adheres to well-established practices is presented. The method is intended to guide practitioners who develop both ontologies and business process models in the same or similar domains.

The method is supported by a recently developed toolset, which supports the modeling of relations between the ontologies and the labels within the process model collections. This study introduces the method and its companion toolset. An explanatory study, that includes two case studies, is designed and conducted to reveal and validate the benefits of using the method. Then, a follow-up semi-structured interview identifies the perceived benefits of the method.

Application of the method revealed several benefits including the improvements observed in the consistency and completeness of the process models and ontologies. The method is bringing the best practices in two domains together and guiding the use of labels within process model collections in ontology development and ontology resources in business process modeling.

The proposed method with its tool support is a pioneer in enabling to manage the labels and terms within the labels in process model collections consistently with ontology resources. Establishing these relations enables the definition and management of process model elements as resources in domain ontologies. Once the PROMPTUM method is utilized, a related resource is managed as a single resource representing the same real-world object in both artifacts. An explanatory study has shown that improvement in consistency and completeness of process models and ontologies is possible with integrated process modeling and ontology development.

This paper presents a design approach for process-based knowledge management (PKM) systems that can support knowledge-intensive processes where effective task execution is highly reliant on the knowledge and expertise of participants executing the tasks. The proposed design approach includes design methods and kernel theories governing the design of PKM systems and can also be easily integrated with existing systems analysis and design techniques.

The design science research methodology is used to design and develop the artifact which includes the overall PKM design approach. Information systems design theory is used as a high-level framework to develop and structure the design approach. Relevant design methods and behavioral theories are reviewed to identify kernel theories that guide the design and development of PKM systems. The design approach consists of meta-requirements for PKM systems and design processes to achieve the meta-requirements. A feasibility study is conducted to evaluate the feasibility of the proposed approach.

The design approach presented in this paper can guide system analysts and system developers in the design of knowledge management systems for supporting knowledge-intensive processes. The paper also includes a comprehensive design theory for PKM systems consisting of meta-requirements and a synthesis of various kernel theories into actionable design procedures. The proposed procedures include knowledge requirements modeling, knowledge flows modeling and knowledge and process performance modeling procedures. The feasibility study indicates that the PKM approach can be more useful and effective than solely using unified modeling language (UML)-based systems analysis and design techniques for the design of PKM systems.

An implication to information systems design research is the feasibility of developing a specialized design approach that incorporates significant domain knowledge to solve complex information system design problems. An implication to practice is the significant potential to improve productivity and effectiveness of systems analysts and designers in developing PKM systems. A limitation is the small sample size of the feasibility study used to evaluate the ease of use and utility of the design approach.

The study makes a unique contribution by proposing a design approach that integrates business process and knowledge management considerations. The approach is particularly valuable because of the focus on integration with existing systems analysis and design techniques, thus allowing for easier adoption.