Knowledge Management and Organizational Learning 3 4 William R
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Effects of Leadership Behavior on Knowledge Management and Organization Innovation in Medicine and Health Sciences
OPEN ACCESS EURASIA Journal of Mathematics Science and Technology Education ISSN: 1305-8223 (online) 1305-8215 (print) 2017 13(8):5425-5433 DOI: 10.12973/eurasia.2017.00840a Effects of Leadership Behavior on Knowledge Management and Organization Innovation in Medicine and Health Sciences Hongmei Tang Clinical Medicine College, Shanghai University of Medicine and Health Sciences, CHINA Received 26 March 2017 ▪ Revised 9 June 2017 ▪ Accepted 10 June 2017 ABSTRACT It is wondered how traditional medical industry responds to the information era with new knowledge economy. In fact, medical industry is a knowledge-intensive and human- oriented service industry. The interaction among professional staff at various working systems in hospitals, patients visiting hospitals daily, and the upstream and downstream suppliers for medical activities forms an extremely useful knowledge database. Although the application of information technology is not the whole definition of knowledge management, the entire medical industry, based on other traditional factors, is not ranked on the top for the utilization of modern information technology, compared to other industries. For this reason, establishing a special knowledge management environment with the knowledge-intensive and human-oriented characteristics of medical industry is a worthy goal. Aiming at primary hospitals in Shanghai, the management level, physicians, and employees are distributed 360 copies of questionnaire. Total 288 valid copies are retrieved, with the retrieval rate 80%. The research results summarize the positive relations between 1.leadership behavior and knowledge management, 2.knowledge management and organization innovation, and 3.leadership behavior and organization innovation. Finally, suggestions are proposed, expecting to have leaders in medical industry guide the organization to become a self-learning organism and, meanwhile, practice knowledge management in the organization to digitalize the generation, storage, and expansion process of knowledge within the organization. -
Some Collaborative Systems Approaches in Knowledge-Based Environments
18 Some Collaborative Systems Approaches in Knowledge-Based Environments Mihaela I. Muntean West University of Timisoara, Faculty of Economics and Business Administration Romania 1. Introduction Collaboration represents a strategic alternative to the monolithic approach to business development and competition. It involves a different approach to business – focused on managing business relationships between people, within or without groups, and within and between organizations. Fig. 1. Collaboration – A Business Strategy (http://literacy.kent.edu/CommonGood ) In the present global economy, strongly influenced by IT (information technology) and information systems evolution, the modern organizations try to face the challanges by adjusting their strategies and restructuring their activities, for aligning them to the new economy requirements. It is certain, that the enterprise’s performance will depend on the capacity to sustain collaborative work. The evolution of information systems in these collaborative environments led to a sudden necessity to adopt, for maintaining all kind of virtual activities/processes, the latest technologies/systems that are capable to support integrated collaboration in business services. It is obvious that, all collaborative environments (workgroups, practice communities, collaborative enterprises) are based on knowledge, and between collaboration and knowledge management (KM) there is a strong interdependence. Therefore, we focused on how collaborative systems are capable to sustain knowledge management and their impact on optimizing the KM life cycle. Some issues regarding collaborative systems are explored and a portal-based IT solution that sustains the KM life cycle is highlighted. In addition, an agile development framework for portals will be proposed www.intechopen.com 380 New Research on Knowledge Management Models and Methods 2. -
Nonaka's Four Modes of Knowledge Conversion
At the Knowledge Advantage Conference held November 11-12, 1997, Dr. Ikujiro Nonaka gave a presentation. Below is a summary of his presentation written by Bill Spencer of the National Security Agency. Organizational Knowledge Creation Ikujiro Nonaka It would take a book to do justice to Professor Nonaka’s presentation. Fortunately, he already wrote it - The Knowledge Creating Company. These notes will just hit some of the highlights. At the heart of Nonaka's work is the premise that there are two types of knowledge: tacit and explicit. Tacit knowledge is subjective and experience based knowledge that can not be expressed in words, sentences, numbers or formulas, often because it is context specific. This also includes cognitive skills such as beliefs, images, intuition and mental models as well as technical skills such as craft and know- how. Explicit knowledge is objective and rational knowledge that can be expressed in words, sentences, numbers or formulas (context free). It includes theoretical approaches, problem solving, manuals and databases. Nonaka models knowledge transfer as a spiral process. Start with a 2x2 matrix, in which existing knowledge can be in either form - tacit or explicit - and the objective of knowledge transfer can be to convey either tacit or explicit knowledge. Each mode of transfer operates differently: Nonaka’s Four Modes of Knowledge Conversion Tacit Knowledge Tacit Knowledge Tacit Socialization Externalization Explicit Knowledge Knowledge Tacit Explicit Knowledge Internalization Combination Knowledge Explicit Knowledge Explicit Knowledge Each type of knowledge can be converted. When viewed as a continuous learning process, the model becomes a clockwise spiral; organizational learning depends on initiating and sustaining the learning spiral. -
Participant Perceptions of Knowledge Sharing in a Higher Education Community of Practice
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by UNF Digital Commons University of North Florida UNF Digital Commons UNF Graduate Theses and Dissertations Student Scholarship 2016 Participant Perceptions of Knowledge Sharing in a Higher Education Community of Practice Shawn Whittaker Brayton University of North Florida, [email protected] Follow this and additional works at: https://digitalcommons.unf.edu/etd Part of the Educational Leadership Commons Suggested Citation Brayton, Shawn Whittaker, "Participant Perceptions of Knowledge Sharing in a Higher Education Community of Practice" (2016). UNF Graduate Theses and Dissertations. 636. https://digitalcommons.unf.edu/etd/636 This Doctoral Dissertation is brought to you for free and open access by the Student Scholarship at UNF Digital Commons. It has been accepted for inclusion in UNF Graduate Theses and Dissertations by an authorized administrator of UNF Digital Commons. For more information, please contact Digital Projects. © 2016 All Rights Reserved PARTICIPANT PERCEPTIONS OF KNOWLEDGE SHARING IN A HIGHER EDUCATION COMMUNITY OF PRACTICE by Shawn Whittaker Brayton A dissertation proposal submitted to the Department of Leadership, School Counseling, and Sport Management in partial fulfillment of the requirements for the degree of Doctorate of Educational Leadership UNIVERSITY OF NORTH FLORIDA COLLEGE OF EDUCATION AND HUMAN SERVICES Summer, 2016 Unpublished work © Shawn W. Brayton i The dissertation of Shawn W. Brayton is approved: ___________________________________________ Date____________________ Elinor A. Scheirer, Ph.D., Chair ___________________________________________ Date____________________ C. Bruce Kavan, Ph.D. ___________________________________________ Date____________________ Luke M. Cornelius, Ph.D. ___________________________________________ Date____________________ Jennifer A. Kane, Ph.D. Accepting for the Department: ___________________________________________ ____________________ Christopher A. -
3.996 Peer Reviewed & Indexed Journal IJMSRR E- ISSN
Re sea rch Pa per IJMSRR Impact Factor: 3.996 E- ISSN - 2349-6746 Peer Reviewed & Indexed Journal ISSN -2349-6738 ORGANIZATIONAL CULTURE AS DETERMINANT OF KNOWLEDGE SHARING PRACTICES OF TEACHERS WORKING IN HIGHER EDUCATION SECTOR Dr. Santhosh Areekkuzhiyil Assistant Professor, Government Brennen College of Teacher Education, (Research Centre in Education, Kannur University), Kerala. Abstract The current study aims to explore the influence of organisational culture on the knowledge sharing practices of teachers working in higher education sector. The study hypothesized the impact of various aspects of organisational culture on the knowledge sharing practices of teachers working in higher education sector. The data required for the study has been conveniently collected from 250 teachers working in various higher educational institutions in the Kerala state. The study used PSL SEM for analysis and found that the organisational culture explain 35.9 % the knowledge sharing practices of the teachers working in the higher education sector of the state. Out of the factors of organisationl culture, communication, trust and organizational structure influence significantly the knowledge sharing practice of teachers Key words : Knowledge Sharing Practices, Organisational Culture, Higher Education, Partial Least Square, PLS-SEM. 1. Background of the Study Knowledge sharing is the process by which individuals make their knowledge available to others. Davenport (1997) defined it as voluntary and distinguished it from reporting. While reporting involves the exchange of information based on some routines or structured formats, sharing implies a voluntary act by an individual who participates in the knowledge exchange even though there is no compulsion to do so. Knowledge sharing can occur through communications and networking with other experts, or documenting, organising and capturing knowledge for others (Cummings, 2004; Pulakos et al. -
Knowledge Management to Learning Organization Connection
Knowledge Management to Learning Organization Connection Paul Chinowsky1 and Patricia Carrillo2 Abstract: The changes in the engineering-construction industry of the 21st century require organizations to take a more active role in developing knowledge management and learning organization initiatives. The need to both retain knowledge within the organization and focus on continuous human resource development throughout all levels of the organization is becoming a primary challenge throughout the industry. This paper addresses this challenge by focusing on the question of the link between knowledge management and learning organizations, and how to transform an organization from a focus on knowledge management to a focus on developing a learning culture. Based on a series of studies by the writers into the characteristics of both knowledge management and learning organizations, this paper outlines models of each of these concepts and introduces a bridge that details the level of knowledge management implementation that must be in place prior to an organization having the capacity to move to a learning focus. Additionally, the case studies conducted during the current study provide a basis for presenting potentially unsuccessful paths that may be selected by organizations during the imple- mentation of a knowledge management to learning organization transition. DOI: 10.1061/͑ASCE͒0742-597X͑2007͒23:3͑122͒ CE Database subject headings: Construction management; Information management; Organizations. Introduction This move to a learning organization is a comprehensive transformation by an organization. However, the drivers for this ͑ ͒ The engineering-procurement-construction EPC industry of the move are well documented by researchers both within and outside 21st century is undergoing significant changes as it addresses the business domain ͑Goh 1998; McGill et al. -
6 Principles of Knowledge Sharing
6 Principles of Knowledge Sharing By Flemming Poulfelt, Professor at the Copenhagen Business School & Nicoline Jacoby Petersen, Programme Co-ordinator of the Master of Knowledge Management programme Knowledge sharing is often ranked side-by- always say more than we can write down. So side with IT: databases, intranet and email not all knowledge can be made explicit, systems. “It’s on the Internet” or ”I sent you written down and categorised. But even in an email about that” are the answers one those occasions where this is actually most frequently receives when requesting possible, there can be “noise” in the receiver information about something or the other. This end. It is a common belief that the knowledge has resulted in a paradoxical situation where – keyed into a database by one person is not despite the accessibility of increasing amounts necessarily the same as that extracted by of information - many feel that they don’t have another person, since our mental models are enough information… different. Hence the way in which we receive and understand information vary greatly, and The fact that information is available by no therefore, we interpret it differently. There’s an means makes it visible or usable by the old saying: brain, heart, feet. In other words, receiver. Building a knowledge sharing understanding what is written is not the same organisation on databases brings along a as agreeing with it, let alone that one is able range of other problems: motivation of to act on it. employees to contribute and to utilise them, updating the data and assuring the quality. -
The No Blame Organization
CRORA Centro di Ricerca sull’Organizzazione Aziendale The No Blame Organization Bernardino Provera, Andrea Montefusco & Anna Canato Bocconi University Email: [email protected] Working Paper no.7 February 2005 20136 Milano Luigi Bocconi Via Sarfatti 25 Università Commerciale 2005 o ann – versità Bocconi Uni – CRORA t Copyrigth 1 The No Blame Organization Bernardino PROVERA, Andrea MONTEFUSCO & Anna CANATO [email protected], [email protected], [email protected] Bocconi University, Institute of Organization and Information Systems & SDA Bocconi School of Management viale Isonzo 23, 20136 Milano – Italy Tel: (0039) 02-5836-2632 Fax: (0039) 02-5836-2634 February 2005 Abstract accepted to the 2005 Academy of Management, Management Cognition Division 2 Abstract High Reliability Organizations (HROs) are those organizations in which even a minor error in their processes may seriously hinder the very existence of the firm, together with the safety of external actors (Roberts, 1990). Past field studies have shown that HROs encourage the reporting of errors and near misses, exploiting these accidents to improve their operative processes. We label this practice as a no blame approach to error management, arguing that it enhances organizational learning. In this paper, by taking a cognitive perspective of organizations (Weick, 1979; Grandori, 1984), we draw on existing contributions on HROs in order to discuss the characteristics of the no blame organization. Our purpose is to solve the following paradox: why HROs, which can not afford to commit errors, do not blame operators that spontaneously report them? We attempt to pool together and extend empirical findings, in order to delineate the theoretical grounding of the no blame organization and highlight its essential traits. -
Community's Knowledge Need and Knowledge Sharing in Wikipedia
Cite as: Pee, L.G. 2018. "Community’s Knowledge Need and Knowledge Sharing in Wikipedia," Journal of Knowledge Management (22:4), pp. 912-930. Community’s Knowledge Need and Knowledge Sharing in Wikipedia L. G. Pee, Nanyang Technological University, [email protected] Abstract In practice, showing the community’s need for knowledge (e.g., listing requests for new articles) is used to drive knowledge sharing in Wikipedia. Yet, theoretical understanding of how it influences one’s knowledge sharing is still lacking. This study develops a model of the influence and shows that one takes others’ utility into account (utility interdependence). Specifically, others’ knowledge need affects one’s perceived forgone benefit of free riding (i.e., a cost of knowledge sharing) and thereby increases the intention to share knowledge. This study contributes to research by identifying utility interdependence in knowledge sharing. For practice, the findings provide empirical support for the general belief that showing others’ knowledge need is useful for promoting sharing. Keywords: Others’ need, knowledge sharing, utility interdependence, knowledge codification effort, Wikipedia Page 1 Community’s Knowledge Need and Knowledge Sharing in Wikipedia Introduction Wikipedia seeks to “create a web‐based, free content encyclopedia of all branches of knowledge” (Wikipedia, 2016). As of September 2017, Wikipedia has more than 43 million articles in more than 250 languages (Wikipedia, 2017). The comprehensiveness and accessibility of Wikipedia have made it a popular collaborative knowledge repository. Wikipedia has been consistently ranked among the ten most‐visited websites globally, with more than 500 million unique visitors a month (Alexa, 2016). At the core of Wikipedia’s development is voluntary knowledge sharing, which occurs as knowledgeable users address others’ need for knowledge. -
Human Resource Management and Knowledge Management: Revisiting Challenges of Integration Dr
IJMBS VOL . 1, ISSUE 2, JUNE 2011 ISSN : 2330-9519 (Online) | ISSN : 2231-2463 (Print) Human Resource Management and Knowledge Management: Revisiting Challenges of Integration Dr. Sumi Jha National Institute of Industrial Engineering, Mumbai, India Abstract organizations and rapid change. This in turn requires drastic Organisations are facing ever-increasing challenges, brought on change within HRM to respond to the changing demands of the by marketplace pressures or the nature of the workplace. Many knowledge economy. Knowledge development and utilization organisations are now looking to knowledge management (KM) can be facilitated by human resource practice. At the individual to address these challenges. Such initiatives are often started level increased delegation of responsibility and freedom for with the development of a knowledge management strategy. To creativity may better allow for discovery and utilization of local be successful, a KM strategy must do more than just outline high- and dispersed knowledge in the organization. Although KM level goals such as ‘become a knowledge-enabled organisation’. is typically defined to be the holistic combination of measure Instead, the strategy must identify the key needs and issues within for managing people, processes and technology, the explicit the organisation, and provide a framework for addressing these. integration of human resource management into KM initiatives The objective of this paper is to study how human resources is seldom examined. This paper investigates several steps management (HRM) practices and employees' knowledge taken by HRM for enhancing capturing and utilizing knowledge influence the development of strategies and, by extension, a firm's within the firm. Empirical evidences confirm that KM and HRM performance. -
Promoting Organizational Learning in Higher Education to Achieve Equity in Educational Outcomes
This chapter describes a project in which teams of faculty, administrators, and staff from fourteen colleges 2 and universities engaged in organizational learning for the purposes of identifying and improving inequitable educational outcomes for African American and Latino students. Promoting Organizational Learning in Higher Education to Achieve Equity in Educational Outcomes Georgia L. Bauman Colleges and universities have been highlighted as an example of a type of organization that does not engage in organizational learning effectively (Dill, 1999; Garvin, 1993). While learning is the central work of these insti- tutions, they are believed to lack the attributes needed for organizational learning. According to David Garvin (1993), for an entity to be a learning organization, it must acquire new ideas that lead to improvements in the way it does business. Garvin contends that “many universities fail to qual- ify [because] ...these organizations have been effective at creating or acquiring new knowledge but notably less successful in applying that knowledge to their own activities” (p. 80). For example, colleges and uni- versities have made considerable investments in technology and training to develop their capacity to collect all kinds of information about students, ranging from their incoming SAT scores through every course they take to their graduating grade point averages (GPAs). In addition, higher education now finds itself in an “age of accountability” (Alexander, 2000; Gumport and Sporn, 1999; Ohmann, 1999; Radner, 1996; Sewall, 1996) in which institutions are required to provide innumerable data to outside agencies. Despite this, very little organizational learning is culled from these data. The Knight Higher Educational Collaborative (2000) asserts, “Today, universi- ties and colleges expend more time, effort, and money than ever before in gathering data. -
Facilitating Learning and Knowledge Transfer Through Mentoring
Facilitating Learning and Knowledge Transfer through Mentoring Ileana Hamburg Institut Arbeit und Technik, WH Gelsenkirchen, Gelsenkirchen, Germany [email protected] Keywords: Mentoring, Social Media, Web-based Platforms, Communities. Abstract: Mentoring is a human resources development process supporting learning and knowledge transfer. Social media and Web services can be used for learning, communication with mentors and monitoring bringing also other advantages. In this paper formal and informal mentoring aspects and the use of IT in mentoring particularly social media and Web support will be shortly presented. Examples of projects where besides knowledge transfer, formal, informal learning also learning in a Web-based community is used are outlined. 1 INTRODUCTION in new forms of employment, changing management or at implementing a learning organisation. Mentoring is a human resources development Informal learning accounts for over 75% of the process supporting learning and knowledge transfer individuals and companies learning processes, it is – KT (Argote and Ingram, 2000). It can be organized necessary to support the use of this form of learning to address aspects like knowledge gaps and shortage more efficiently also in the mentoring, counselling skills (Hamburg and Marian, 2012). Mentoring, is and coaching and to combine it with new IT commonly used to describe a KT and learning services. Strategies using intensively informal process in which an existing staff member or an learning, e-Learning, mentoring and new IT media, external one guides new comers or less-experienced embedded into business and work processes in people in a task and helps to develop professional companies, responding not only to requirements of skills, attitudes and competencies (Johnson and work/career but also to employees interests and Ridley, 2008; Edelkraut and Graf, 2011).