scholarly journals Knowledge Management for Problem Solving Using Semistructured Contradiction Matrix Based on Physical Quantity Description

Author(s):  
Tamotsu Murakami

AbstractA Contradiction Matrix of TRIZ that classifies problems to solve as contradictions of features is an effective framework of knowledge management for problem solving. The features, however, may have a problem of completeness because they may not cover contradictions about all physical phenomena. In addition, rigidly structured Contradiction Matrix may have a problem of searchability because a relevant contradiction may not be properly searched if a recorder and a retriever describe it differently. To solve these problems, this paper proposes a semistructured contradiction matrix using not TRIZ features but physical quantities in SI unit. To enable not only exact match but also partial match in searching for relevant contradictions, dimensional similarity and qualitative value similarity of physical quantity and similarity between contradictions are defined. The proposed method is implemented as software in Python and contradictions are described in XML and stored in a semistructured matrix. From the result of similarity calculation between stored contradictions, possible effectiveness of the proposed method is confirmed.

Author(s):  
Tamotsu Murakami ◽  
Yasushi Suehisa

Although many knowledge management techniques based on text expression have been developed, they are not necessarily sufficient for managing engineering design knowledge. In this paper, we propose quantity dimension indexing of design knowledge as a fundamental method for design knowledge management. Physical quantities describing physical phenomena can be represented as vectors in a seven-dimensional space where the orthogonal axes are the seven base units of the SI (The International System of Units). Because of the generality, objectivity and universality of the SI, this space covers all physical quantities that appear in the past, present and future design knowledge and design problems, and the same quantities are represented as the same vectors regardless of the differences in people, products, domains, organizations, nations and languages. We assume that the similarities of physical phenomena lead to similarities in the dimensions of quantities describing the phenomena, and propose to use this seven-dimensional vector for estimating the similarity of design knowledge from the viewpoint of physical phenomena. Based on this basic idea, we mathematically define similarity between two quantities using quantity dimensions. We prepared design knowledge examples and retrieval keys and conducted design knowledge retrieval and design knowledge similarity estimation by quantity dimension indexing and confirmed that we obtained adequate results without using a concept dictionary or thesaurus elaborated in advance, which are indispensable in the text approach.


2008 ◽  
Vol 22 (2) ◽  
pp. 77-101 ◽  
Author(s):  
Holli McCall ◽  
Vicky Arnold ◽  
Steve G. Sutton

ABSTRACT: In an era where knowledge is increasingly seen as an organization's most valuable asset, many firms have implemented knowledge-management systems (KMS) in an effort to capture, store, and disseminate knowledge across the firm. Concerns have been raised, however, about the potential dependency of users on KMS and the related potential for decreases in knowledge acquisition and expertise development (Cole 1998; Alavi and Leidner 2001b; O'Leary 2002a). The purpose of this study, which is exploratory in nature, is to investigate whether using KMS embedded with explicit knowledge impacts novice decision makers' judgment performance and knowledge acquisition differently than using traditional reference materials (e.g., manuals, textbooks) to research and solve a problem. An experimental methodology is used to study the relative performance and explicit knowledge acquisition of 188 participants partitioned into two groups using either a KMS or traditional reference materials in problem solving. The study finds that KMS users outperform users of traditional reference materials when they have access to their respective systems/materials, but the users of traditional reference materials outperform KMS users when respective systems/materials are removed. While all users improve interpretive problem solving and encoding of definitions and rules, there are significant differences in knowledge acquisition between the two groups.


2014 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Nur Chasanah ◽  
Dana Indra Sensuse ◽  
Jonathan Sofian Lusa

Abstract Development of the tourism sector is part of the national development efforts that are being implemented in Indonesia. This research was conducted with the customer to make an overview of knowledge management models to address the existing problems in hospitality in the hospitality Purbalingga as supporting tourism Purbalingga. The model depicts a series of problem-solving activities that result in the hospitality, especially in Purbalingga. This research was action research with methods of Soft Systems Methodology (SSM) with validation using a theoretical approach, expert judgment and user on the object of research. From the research conducted, has produced a model of customer knowledge management in the hospitality tailored to the problems and needs of the hospitality in Purbalingga.


1976 ◽  
Vol 46 (9) ◽  
pp. 623-628 ◽  
Author(s):  
George G. Stoner

Le Système International d'Unités (officially designated SI in all languages) provides a logical, interconnected framework for measurements in commerce, industry, and science, including the textile and allied fields. SI is based on only nine elemental units. Seventeen important derived units have special names. Any number of derived units is possible to meet particular needs. SI has only one unit for each type of physical quantity. Prefixes cover a range of 1036 to form multiples and submultiples. SI has explicitly distinct units for mass (the kilogram) and force (the newton). Numerous older units of pressure, energy, and power are superseded by the pascal, the joule, and the watt, respectively. Each equation defining a derived unit contains only the number 1 as the numerical factor. SI has salient advantages because it is a system of units coherent with respect to the system of physical quantities and the equations relating them.


2021 ◽  
Vol 8 (1) ◽  
pp. 01-11
Author(s):  
Hakar Zaki Mohammed

In today’s advanced economies, knowledge has been converted into a key economic resource and a contributing factor for organizational success. In nature, knowledge requires to be managed by each person in order to yield the concept of personal knowledge management (Drucker). In many scientific records, the relationship between personal emotional intelligence, problem–solving, and the psychological traits including emotional intelligences has been stressed. The present paper has aimed to study the association between the emotional intelligence dimensions and personal knowledge management. Hence, this research is a descriptive survey. The data collection tool was a questionnaire including 37 questions and the statistical sample consisted of 302 individuals from the students, experts, and active managers in the field of knowledge management. The Cronbach’s alpha coefficient was used to achieve the questionnaire’s reliability coefficient, while the facial and content validity was confirmed by knowledge management experts. The research data was analyzed by statistical methods and Pearson’s correlation coefficient. Emotional intelligence was measured according to the Goleman’s model in five dimensions, including motivation, self–awareness, self-regulation, empathy, and social skill. According to data analysis, there is a positive and significant correlation between the education level and capabilities of people in personal knowledge management. All the emotional intelligence dimensions are of a positive and significant relationship with personal knowledge management. Likewise, the research findings proved a significant relationship between personal knowledge management’s four aspects and the five dimensions of emotional intelligence.


Author(s):  
Ziska Fields ◽  
Sulaiman Olusegun Atiku

This chapter explores the role of communities of practice (CoPs) in knowledge management (KM) and how various collaborative practices can be used to enrich the activities of CoPs in organisations. The objectives of the chapter are firstly to define and explain the role of CoPs as a form of social and team networks in KM, secondly to identify the role and importance of collaborative approaches, specifically focusing on collective learning, creativity, innovation and problem-solving in CoPs and how these impact on the KM process, and thirdly to make recommendations to enhance the collaborative approaches to ultimately enrich the activities of CoPs in a digital age in organisations. Recommendations are made that management needs to support the forming and activities of CoPs in KM strategies, and that a suitable organisational structure and culture are needed to stimulate and support collaborative approaches to enrich the activities of CoPs.


Author(s):  
Cristina Raluca Gh. Popescu

These days, there is little doubt that entrepreneurial competencies—such as, taking initiative and being creative, planning and managing organizations' activities, showing persistence in problem solving processes as well as realizing the goals for which companies were established—are one of businesses' most important tools. Consequently, the following questions come naturally into the discussion: What is it that most of the successful entrepreneurs have in common? Is it education, risk affinity, experience, networks, family money, race, gender or, simply put, pure luck? Starting from the assumption that the vast majority of these people have, as common denominator, a cross-section of attributes and skills: firstly, this scientific study has the purpose of developing a model for entrepreneurship competencies, focusing on: innovation, knowledge management and intellectual capital; and secondly, this complex research has the aim of building an inclusive entrepreneurship model, tackling three main organizational targets: efficiency, productivity and performance.


Author(s):  
Richard T. Herschel

A chief knowledge officer (CKO) is a senior executive who is responsible for ensuring that an organization maximizes the value it achieves through one of its most important assets-knowledge. Knowledge is often defined as information exercised for problem solving, understanding, and benefit. By adopting a CKO, firms formally recognize that knowledge is an asset that needs to be captured, disseminated, and shared to enhance firm performance and value creation. And most of all, they realize it is an asset that must be managed. Knowledge management is seen as essential, because firms today are valued in part on market perceptions of expertise as expressed through their processes, products and services (Choo, 1998).


Author(s):  
Parissa Haghirian

Knowledge is widely recognized as a primary resource of organizations (Drucker, 1992). Some authors propose that knowledge is a company’s only enduring source of advantage in an increasingly competitive world (Birkinshaw, 2001). The problem and challenge companies encounter is managing it in an effective way to increase their competitive advantages. Knowledge management is therefore concerned with various aspects of creating, examining, distributing, and implementing knowledge. But knowledge management theory often leaves us with the impression that knowledge can be as easily managed like products and commodities (Shariq, 1999). This Cognitive Model of Knowledge Management (p. 82) is founded on the belief that knowledge is an asset that needs to be managed, but is strongly contrasted by the Communities in Practice Model of Knowledge Management (p. 83), which looks at knowledge managment and transfer from a sociological perspective (Kakabadse, Kakabadse & Kouzmin, 2003). In fact, the transfer of knowlege happens between individuals; it is a mainly human-to-human process (Shariq, 1999). Knowledge has no universal foundation; it is only based on the agreement and the consensus of communities (Barabas, 1990), which make people and communities the main players in the knowledge transfer process. They can share or conceal knowledge; they may want to know more and want to learn. For knowledge transfer on an individual as well as on a corporporate level, there “has to be a voluntary action on behalf of the individual” (Dougherty, 1999, p. 264). Knowledge transfer happens for individuals and is conducted by individuals. The base of knowledge transfer is therefore a simple communication process transferring information from one individual to another. Two components of the communication are essential: The source (or sender) that sends the message and the receiver to receive the message. Person A (sender) intends to send information to person B (receiver). Person A codifies the information into a suitable form and starts the process of sending the information or knowledge to B. This can take place via talking or writing. The channel which transmits the information might influence the flow of the message and its reception. Receiver B receives the information and decodes it. After this, B tries to understand the information received in his/her context and implements the knowledge in the surrounding environment. The communication model also includes the feedback of the receiver. B starts the whole process again and codifies and sends information back to A. A receives, decodes, and interprets the information or knowledge received. A prerequisite for effective knowledge transfer is a high level of trust among the individuals and work groups and a strong and pervasive culture of cooperation and collaboration. This trust is developed through work practices that encourage and allow individuals to work together on projects and problems (Goh, 2002). Knowledge transfer is thus performed by communities of practice, which are described as groups of professionals informally bound to one another through exposure to a common class of problems, common pursuit of solutions, and thereby embodying a store of knowledge (Manville & Foote, 1996). Their members show a collectively developed understanding of what their community is about. They interact with each other, establishing norms and relationships of mutuality that reflect these interactions. Communities of practice generally produce a shared repertoire of communal resources, for example, language, routines, sensibilities, artifacts, tools, stories, and so forth. Members need to understand the community well enough to be able to contribute to it. They furthermore need to engage with the community and need to be trusted as a partner. Finally, they need to have access to the shared communal resources and use them appropriately (Wenger, 2000). Communities of practice develop strong routines for problem solving via communication and knowledge exchange. If knowledge is transferred within communities of practice, both sender and receiver have a common understanding about the context, the way knowledge is transmitted, its relevance, and integration into the knowledge base of the corporation. Accordingly, communities of practice are generally agreed on to have a positive influence on knowledge transfer processes. Members of a community of practice are informally bound by the gains they find when learning from each other and by efficient problem-solving activities via communication (Wagner, 2000).


Author(s):  
Rafael Andreu ◽  
Sandra Sieber

In today’s competitive landscape firms must develop idiosyncratic, difficult-to-imitate capabilities. This requires effective knowledge deployment and development. In this chapter, we discuss why knowledge and organizational learning are crucial for today’s firms’ competitiveness and propose a model of individual and collective learning based on problem solving. We then explore its implications and examine how KM can be harnessed to foster learning in organizations.


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