Implementation Of KM Research Articles

Learning to Forget: A Critical Review of Knowledge Management and Knowledge Exchange Initiatives in the Detective Service

KM and KE have recently become commonly used terms in law enforcement agencies. However, implementing KM initiatives successfully in the SAPS still poses a challenge. This paper reviews factors that influence the success or failure of KM and KE initiatives as manifested in the SAPS, with emphasis on the DS. Both KM and KE initiatives are of critical importance to solve criminal cases. The consulted literature review highlighted various dimensions that are critically influential in the implementation of KM and KE in the DS. These are the negligence of the FP, during which the building blocks for a successful schooling career are laid; and once detectives are recruited, the lack of a mentorship programme and training curriculum, which lack coherence, connection, as well as depth of understanding that accompanies systematic critical thinking.

ADOPTION OF KNOWLEDGE MANAGEMENT IN PAKISTAN: AN INVESTIGATION OF CRITICAL SUCCESS FACTORS

Although, knowledge has been recognized as a key business asset, firms are still in the infancy stages of comprehending the practical implications of knowledge management. Developing countries are widely believed to be falling far behind in competitiveness and socio-economic development, due to their inability to develop capacities to enable themselves to take part in the emerging global networks of knowledge creation. There is a dire need for a more organized and purposeful study, on critical success factors for knowledge management adoption in developing countries like Pakistan. However, no research, so far, has been conducted to empirically investigate a detailed list of CSFs for KM adoption in Pakistan. This paper evaluates and disseminates the findings of a self-administered survey to investigate the critical success factors for the implementation of KM in banking sector of Pakistan. A survey questionnaire having 11 factors, consisting 66 items is adopted in this study, which is statistically tested for its validity as well as reliability. Data are collected from banking officials. The level of importance, as well as the ranking list of the critical success factors for KM adoption is statistically examined. This paper provides a priority list of CSFs—figured out in order of their importance—for KM adoption in the banking sector of Pakistan. Human resource management, motivational aids, and processes and activities are found to be the most important, while measurement and organizational infrastructure are found to be the least important factors, perceived by the bankers.

Investigating the principal factors impacting knowledge management implementation in construction organisations

PurposeKnowledge management (KM) is crucial to ensure construction organisations effectively take advantage of existing expertise, engendering faster and more effective decision-making. Most importantly, it helps organisations to learn from past experiences. Despite its increasing academic attention, the implementation of KM is still relatively slow across the construction industry. Therefore, the purpose of this study is to gain a renewed understanding of the extent of KM practices in construction.Design/methodology/approachQuantitative approach using a questionnaire survey was used to prioritise the 15 critical factors and 9 enables of knowledge creation. Finally, an exploratory factor analysis is used to determine the principal elements of successful KM implementation in construction.FindingsKM in a construction organisation is significantly influenced by knowledge sharing, collaboration, learning from mistakes, employee training and knowledge strategy. On the other hand, knowledge is created mostly through project mistakes, individual constant self-improvement, challenging barrier, review session and brainstorming discussion. With factor analysis technique, three underlying factors impacting KM practices are capacity and capability improvement, long-term commitment and innovation and synergetic working culture.Research limitations/implicationsQuestionnaire survey was used as the single data collection instrument. The findings of the current study shed light on the salient issues affecting KM practices in construction but may not generalise to organisations operating in other industries.Practical implicationsThese findings can support first-order KM implementation decision-making and enable the exploitation of existing knowledge assets towards achieving sustainable development and competitive advantage.Originality/valueEffective KM practices are about finding the best ways to deliver the right knowledge to the right person at the right time, enabling informed decision-making and improving operational efficiencies. The contribution of this study is built upon the examination of the underlying factors of KM implementation; the findings provide insights into the core aspects of KM practices, facilitating managers in prioritising KM strategies that are really going to make a difference.

Knowledge management: an integrative approach literature review

This paper is primarily a review and analysis of the literature associated with the field of knowledge management. In particular, it focuses on investigating how authors are measuring and addressing the implementation of KM in organisations. Existing KM models lack the integrative viewpoints. This paper is covering this gap by providing the integrative approach. That focuses on the integration of two essential approaches; KM as process and KM as infrastructure. A total of 250 papers published in peer-reviewed journals are carefully reviewed. Based on the content analysis the theoretical, and empirical antecedents in the field of KM had been explored. By integrating insights drawn from the previous studies as well as adding some new factors, the author proposed an integrative approach for the comprehensive understanding of KM. For academics, the proposed model provides a guide for future applied research and offers a critical review of significant knowledge measurement studies.

Knowledge management: an integrative approach literature review

This paper is primarily a review and analysis of the literature associated with the field of knowledge management. In particular, it focuses on investigating how authors are measuring and addressing the implementation of KM in organisations. Existing KM models lack the integrative viewpoints. This paper is covering this gap by providing the integrative approach. That focuses on the integration of two essential approaches; KM as process and KM as infrastructure. A total of 250 papers published in peer-reviewed journals are carefully reviewed. Based on the content analysis the theoretical, and empirical antecedents in the field of KM had been explored. By integrating insights drawn from the previous studies as well as adding some new factors, the author proposed an integrative approach for the comprehensive understanding of KM. For academics, the proposed model provides a guide for future applied research and offers a critical review of significant knowledge measurement studies.

Pelaksanaan Knowledge Management dalam mendukung kegiatan Knowledge Transfer pada grup International Carnivorous Plant Society

Introduction. This study discusses how knowledge management activities (KM) supports knowledge transfer (KT) in "International Carnivorous Plant Society" (ICPS) group. Research Method. This study used qualitative descriptive method. The data collection activity was conducted by reviewing KM and KT activities in the ICPS group. The collected data was classified and analyzed for further discussions. Results and Discussions. The results showed that the implementation of KM and KT in ICPS was successfully done through ICPS website. KM activities in ICPS group were applied through 4 stages: identifying, collecting, and creating: classifying and storing; sharing; and accessing and using. KT activities in ICPS were conducted through the provision of articles on ICPS website; online journals; and video-making on the Youtube ICPS account related to carnivorous plants.Conclusions. Overall KM and KT activities in ICPS have been conducted in sufficient way. Only at the stage of “sharing” KM activities need more attention.

Implementing knowledge management in university libraries of Punjab, Pakistan

PurposeKnowledge management (KM) is an emerging method of management. This study aims to explore the various aspects of implementing KM in university libraries of Pakistan.Design/methodology/approachA survey was conducted using a structured questionnaire, and data were collected from 75 chief librarians and reference librarians of 48 university libraries of Pakistan. A total of 60 valid responses received and analyzed using SPSS version-21.FindingsThe results disclose that a majority of respondents are familiar with KM, and literature reading is the major source of their awareness. The Pakistani academic librarians believe that KM can be applied, in the reference services, resources sharing, networking and information literacy programs of libraries. While, need for professional training and KM education are also reported. KM can be implemented in libraries through, use of ICT, developing knowledge sharing culture and developing mentorship in organizations. A lack of staff training, lack of expertise in KM, lack of knowledge gaining and sharing culture, lack of understanding of KM concept and its benefits and a lack of IT infrastructure are the major challenges faced by library and information science (LIS) professionals. Communication skills, information management skills, IT skills, leadership skills, human resource management skills are identified as key skills for the implementation of KM.Practical implicationsThis study provides a base to develop a KM strategy and implementation plan for academic libraries in Pakistan. It will facilitate to constitute an important step toward the management of intangible assets in Pakistani libraries.Originality/valueThe results of the study will unveil the perceptions of academic librarians toward KM. It will help to understand the relationship between KM and LIS. The study will also identify the challenges faced by librarians and skills required for the implementation of KM in libraries.

Implementing Knowledge Management in Biro Tatanegara, Malaysia: BTN Staff’s Perception

By implementing KM, it can be used as a strategy sources by BTN to help the staffs in solving problems and facing challenges to improve their job performance together to achieve organizations goals and objectives. A little research has been done to know the staff’s perception regarding implementation of KM in BTN. To improve the implementation of KM, there are various factors should be considered. One of that is support of the management. Without support, the implementation could not be success in BTN.

Identification of critical knowledge management enablers for implementation of KM in manufacturing organisations

Identification of critical knowledge management enablers for implementation of KM in manufacturing organisations

TINGKAT KESIAPAN IMPLEMENTASI KNOWLEDGE MANAGEMENT PADA DIVISI TEKNOLOGI INFORMASI PT. “X”

IT Consultants are in the need of knowledge resources from experts who have either tacit, implicit, or explicit. Hence, a system that is able to manage knowledge (Knowledge Management/KM) is required. Along with success stories and failure experienced by many organizations in the implementation of KM system, it indicates that there should be factors that have roles in determining the successes of KM implementation. These factors are highly related to the readiness of the institution or company. Therefore, before implementing KM, it is necessary to analyze the readiness of the institution or organization. Analysis of readiness is expected to give an overview to the management about the state of readiness and aspects related to the successful implementation of KM. This study aims to measure the readiness of KM implementation in IT division in one of the IT consultation firm. The measurement of readiness was based on the extraction results of previous studies from which seven research aspects are obtained to be analyzed. Those aspects are strategy, organization, culture, technology, motivation, process, and human resources. Data was collected by questionnaires while data analysis was performed using descriptive statistical analysis. The analysis showed that the overall implementation of KM in IT division reached a readiness level of 2.26 in implementing KM.

Investigating the success of knowledge management: An empirical study of small- and medium-sized enterprises

Most firms have started to realize the importance of KM in streamlining their operations and processes to improve organizational performance. So in this paper, we try to survey and present a model for measuring success of KM in small- and medium-sized enterprises (SMEs). This study is the first empirical test of an adaption of the Jennex and Olfman (J&O) KM success model considered a better description of KM success due to its strong theoretical grounding to analysis the influences of KM and inter-actions on workers' productivity in Taiwanese SMEs settings. Structural equation modeling techniques are applied to data collected through questionnaires from 277 knowledge workers. All the hypothesized relationships between the variables are significantly supported by the data. The findings served as useful reference points for researchers interested in investigating issues related to the successful implementation of KM, and for practitioners aiming to achieve the benefits of KM in SMEs.

Development of Knowledge Management Model for Developing the Internal Quality Assurance in Educational Opportunity Expansion Schools

This research for: 1) to study the current situation and problem in KM, 2) to develop the KM Model, and 3) to evaluate the finding usage of the KM Model for developing the Internal Quality Assurance of Educational Opportunity Expansion Schools. There were 3 Phases of research implementation. Phase 1: the current situation and problem in KM, was studied. Phase 2: the KM Model, was constructed, investigated, revised. Phase 3: the findings of usage in the KM Model for developing the Internal Quality Assurance of Educational Opportunity Expansion Schools. The research instruments for data collection were: the Questionnaire, and the Interview Form. The statistic using for data analysis included the Mean, Standard Deviation, and Percentage. The research findings found that: 1) The current situation and problem, found that were 7 Steps of implementation in KM including: the goal setting, the role determination, the knowledge construction, the shared learning, the knowledge selection, and the conclusions in body of knowledge, and the problem of KM, in overall, was in “High” level. 2) The KM Model, found that were 7 Steps of implementation in KM including: the goal setting, the role determination, the knowledge construction, the shared learning, the knowledge selection, and the conclusions in body of knowledge, and the delimitation of 8 aspects of Internal Quality Assurance. The findings of investigation in the KM Model, by all of 7 experts, found that the Mean Value was in “High” level. 3) The findings of evaluation in usage of KM Model, found that the Mean Value of testing after implementation of KM (posttest), was higher than before implementation of KM (pretest) at .01 significant level. The administrators and teachers had satisfaction in of KM Model, after the usage, found that it was in “High” level.

An investigation on relationship between CRM and organizational learning through knowledge management: A case study of Tehran travel agency

Article history: Received October 16, 2012 Received in revised format 27 December 2012 Accepted 12 January 2013 Available online January 14 2013 Customer relationship management (CRM) plays essential role on the success of many business units. CRM integrates necessary data from internal and external sources to assist managers and employees for business development. This paper attempts to analyze relationship between CRM, organizational learning, and knowledge management. Research population includes travel agencies in Tehran, Iran and their manager are considered for the purpose of this study. This research has four variables 1Successful implementation of KM, 2Organizational learning, 3customer orientation, and 4information share with customers. The preliminary results of this survey indicate that any development of CRM will significantly contribute relative efficiency of this travel agency. The results also indicate that there is a meaningful relationship among components of CRM including organizational learning, and knowledge management in this travel agency. © 2013 Growing Science Ltd. All rights reserved.

TECHNOLOGY OPTIONS TO SUPPORT THE IMPLEMENTATION OF KNOWLEDGE MANAGEMENT

Company is more aware that knowledge management is one of the important factors because it gives competitive advantages for them. Knowledge is intellectual asset that is owned by individual or company. Knowledge becomes very useful if it is documented or stored, organized, shared to others and can be understood and applied. Knowledge Management System (KMS) is made to manage knowledge. KMS does identifying process, capturing, organizing and disseminating knowledge. Technology is one of three model of KM that supports the implementation of KM. This time there are various options of technology that support the KM implementation for companies. In this research, there are various options or types of technology that can be used to support the implementation of knowledge management.Keywords: Knowledge Management; Knowledge Management System; Technology Word

Developing knowledge management capabilities: a structured approach

PurposeKnowledge management (KM) needs a systematic approach to develop capabilities which accelerate the evolution of knowledge into a key organizational resource. This paper aims to address this issue.Design/methodology/approachThis paper reports the empirical findings of a case study offering insights into the infrastructure and process capabilities required to provide knowledge support for organizational routines and activities.FindingsIt also presents a four‐stage framework that helps to make sense of the development of capabilities during the implementation of KM initiatives.Practical implicationsThe research moves KM capability development from being a mere concept to being a clearly articulated set of stages, which underpin organizational growth.Originality/valueAs above, the research moves KM capability development from being a mere concept to being a clearly articulated set of stages, which underpin organizational growth.

Finding KM solutions for a volunteer‐based non‐profit organization

PurposeThe purpose of this paper is to investigate the knowledge needs of a small, volunteer‐based Non‐Profit Organization (NPO) and present recommendations for implementation of KM solutions.Design/methodology/approachThe methodology used in this paper is the knowledge audit. Data collection methods include semi‐structured interviews, documentary photography, and a review of content on the NPO's website.FindingsThe paper recommends a combination of web 2.0 technology and low‐tech solutions to meet the KM needs of the volunteer‐based organization within the constraints of its limited resources. Based on the observation that dedicated and reliable volunteers are critical to this organization's success, the paper proposes that the KM solution address personal knowledge needs related to volunteer motivation factors as a strategy for improving volunteer recruitment and retention.Research limitations/implicationsThe study examined a small group of volunteers engaged in a specialized form of knowledge‐sharing work. Future research could test this paper's conclusions in larger and more diverse volunteer‐based NPOs.Originality/valueThe paper extends KM research into the realm of volunteer‐based NPOs and adopts elements from Motivation‐Hygiene theory as well as specific volunteer motivation factors as additional criteria for a KM solution.

The Growing Need to Quantify Tacit Knowledge for a Sustainable Competitive Advantage

Most of the research communities tackle Knowledge Management from a Technological point of view, and neglecting the socio-psychological side of the equation.Psychology and education offered us an invaluable tool namely: the Knowledge Transfer or Cognitive Mapping.It is a tool available to the foreign investor to help him operate in a Cross-cultural Knowledge context. Blumentritt and Johnson set up a framework to measure the degree of difficulty in transferring knowledge.Physics and the law of thermodynamics also offered us the mathematical best fit to understand knowledge acquisition and development.Just like human beings must counteract the effect of oxidation which can be regarded as the depletion of organism cells by regularly extracting anti-oxidants. If the rate of extraction is less than the rate of depletion, the organism will be in a state of degradation and ultimately death. The Firm in a similar way must counteract the effect of deterioration which is a natural process caused by the business environment, products of today are already the products of the past (Drucker).This research seeks a deeper understanding of organizational and psychological phenomena taking place during the adoption and implementation of KM in a cross-cultural context.This initiative is to assist the reader in being able to:1. Understand the difficulty to access tacit knowledge and this mainly due to the heterogeneity of mind mapping. We refer to the heterogeneity especially with regards to the difficulty of implicit knowledge transfer. Thus, the focus of the research, is to target knowledge resources requirements.2. But most importantly to help the reader gain lead time in the acquisition and management of tacit knowledge using a mathematical model.

The Growing Need of Foreign Investors to Acquire Local Tacit Knowledge for a Sustainable Competitive Advantage in the Middle East

This research came out of frustration. Most of the research communities tackle Knowledge Management from a Technological point of view, and neglecting the socio-psychological side of the equation. This research seeks a deeper understanding of organizational and psychological phenomena taking place during the adoption and implementation of KM in a cross-cultural context. By the former we mean the culture of the foreign investor and the culture of the local individuals. This initiative is to assist the foreign investor in being able to operate in both the tactical and functional level of the organization previously difficult to access this mainly due to heterogeneity of mind mapping. Thus, the focus of the research, is to target knowledge resources requirements both of the functional level, where the clients interact and, and the tactical-strategic level, where the design and implementation of the new services and products is taking place. Empirical work is based on a longitudinal Case Study. The research monitors an Automotive Club in a state of rapid business development and intense innovative behavior. Knowledge Management is being considered for adoption as a practice that could facilitate the sustainable development of new products and services, and beyond that the transition to a radically different set of operational arrangements. Ultimately, the strategic orientation of this organization is to become a Knowledge Broker. In tandem with these developments, the Club in collaboration with the author's institution is proceeding with the development of an experimental KM infrastructure. This KM infrastructure consists of set of guidelines related to the management of its adoption.

A quasi-normal scale elimination model of turbulence and its application to stably stratified flows

Abstract. Models of planetary, atmospheric and oceanic circulation involve eddy viscosity and eddy diffusivity, KM and KH, that account for unresolved turbulent mixing and diffusion. The most sophisticated turbulent closure models used today for geophysical applications belong in the family of the Reynolds stress models. These models are formulated for the physical space variables; they consider a hierarchy of turbulent correlations and employ a rational way of its truncation. In the process, unknown correlations are related to the known ones via "closure assumptions'' that are based upon physical plausibility, preservation of tensorial properties, and the principle of the invariant modeling according to which the constants in the closure relationships are universal. Although a great deal of progress has been achieved with Reynolds stress closure models over the years, there are still situations in which these models fail. The most difficult flows for the Reynolds stress modeling are those with anisotropy and waves because these processes are scale-dependent and cannot be included in the closure assumptions that pertain to ensemble-averaged quantities. Here, we develop an alternative approach of deriving expressions for KM and KH using the spectral space representation and employing a self-consistent, quasi-normal scale elimination (QNSE) algorithm. More specifically, the QNSE procedure is based upon the quasi-Gaussian mapping of the velocity and temperature fields using the Langevin equations. Turbulence and waves are treated as one entity and the effect of the internal waves is easily identifiable. This model implies partial averaging and, thus, is scale-dependent; it allows one to easily introduce into consideration such parameters as the grid resolution, the degree of the anisotropy, and spectral characteristics, among others. Applied to turbulent flows affected by anisotropy and waves, the method traces turbulence anisotropization and shows how the dispersion relationships for linear waves are modified by turbulence. In addition, one can derive the internal wave frequency shift and the threshold criterion of internal wave generation in the presence of turbulence. The spectral method enables one to derive analytically various one-dimensional and three-dimensional spectra that reflect the effects of waves and anisotropy. When averaging is extended to all scales, the method yields a Reynolds-averaged, Navier-Stokes equations based model (RANS). This RANS model shows that there exists a range of Ri, approximately between 0.1 and 1, in which turbulence undergoes remarkable anisotropization; the vertical mixing becomes suppressed while the horizontal mixing is enhanced. Although KH decreases at large Ri and tends to its molecular value, KM remains finite and larger than its molecular value. This behavior is attributable to the effect of internal waves that mix the momentum but do not mix a scalar. In the Reynolds stress models, this feature is not replicated; instead, all Reynolds stress models predict KM→0 at some value of Ri≤1 which varies from one model to another. The presented spectral model indicates that there is no a single-valued critical Richardson number Ri at which turbulence is fully suppressed by stable stratification. This result is in agreement with large volume of atmospheric, oceanic and laboratory data. The new spectral model has been implemented in the K-ε format and tested in simulations of the stably stratified atmospheric boundary layers. The results of these simulations are in good agreement with the data collected in BASE, SHEBA and CASES99 campaigns. Implementation of the QNSE-derived KM and KH in the high-resolution weather prediction system HIRLAM results in significant improvement of its predictive skills.