Developing A Learning Framework: The Systemic “Learning By Sharing Diamond"

The main aim of the paper is to assess and design an innovative model based on systemic model of learning by sharing through a dynamic diamond of four differentiations of an organization (cooperation, competency, competition, knowledge) in order to enhance a collaborative knowledge sharing culture. Design/methodology/approach -- Based on literature review it is developed a theoretical framework for understanding the key concept related to learning and integration of knowledge sharing, competence development and learning process in such a way that collaborative knowledge sharing becomes a part of the work culture and overcome the barriers to knowledge sharing. Findings -- The sustainability of the processes undertaken in the novel conceptual framework of this research should ensure that organizational and individual knowledge are the subject to continue innovation. By integration of the four differentiations of an organization, individuals can improve their intelligence and competences by acquiring useful knowledge and understanding, which is the learning process. Originality/value --Although knowledge management literature is very wide spread, the concept of learning by sharing is quite less approached. This paper contributes through designing of a model based on learning strategy to enhance organizational knowledge sharing

Improving Knowledge Management Programs Using Marginal Utility in a Metric Space Generated by Conceptual Graphs

Knowledge management has emerged as a field of endeavor that blends a systems approach with methods drawn from organizational management and learning. In contrast, knowledge representation, a branch of artificial intelligence, is grounded in formal methods. Research in the separate behavioral and the structural disciplines – knowledge management and knowledge engineering - has not traditionally cross-pollinated. This has prevented the development of many practical practices useful in organizations. Organization managers - line and senior - lack guidance in where to direct improvement efforts targeted at specific groups of company knowledge workers. Demonstrated here is Knowledge Improvement Measurement Space (KIMS), a model providing a solution to that improvement problem. It employs marginal utility theory in a metric space, with formal reasoning via software agents realized in Sowa\u27s conceptual graphs, operating over a knowledge management conceptual structure. These components allow repeated evaluation of knowledge improvement measurements. Knowledge representation technology was applied to organize and encourage knowledge sharing, to achieve competitive advantage, and to measure progress toward that achievement. The KlMS reentrant process, a method of using the KIMS model, was shown to consist of metrics data calculated by executing joined conceptual graphs, consolidated into a distance variable to be estimated via a Minkowski metrics space. The metric space was shown to be equivalent to a marginal utility, which may be evaluated to determine the new level of knowledge capability. The procedure may be repeated until knowledge management goals are achieved. The solution took into account the body of knowledge related human understanding and learning, and formal methods of knowledge organization. These were shown to include surface ontologies based in a knowledge management program, principles of business strategy, and organizational learning. KIMS was validated through a demonstration based on empirical data collected over a five-year program in a large aerospace company during its progress in applying the Software Engineering Institute Capability Maturity Model

Beyond Knowledge Management -- Introducing a Framework for Learning Management Systems

In the knowledge economy, a firm’s intellectual capital represents the only sustainable source of competitive advantage. Intellectual capital manifests itself, predominantly, in the individual and collective competencies of employees in organizations. Hence, the ability to learn and to manage learning becomes critical to the success of organizations. Firm’s adopting knowledge management initiatives seek to facilitate the sharing and integration of knowledge. This approach has had limited success, primarily because of its focus on ‘knowledge as a resource’ rather than on ‘learning as a people process’. A strategic ‘people-oriented’ approach to the management of learning is now emerging in many organizations and a new breed of information system (IS), the ‘Learning Management System’ (LMS), is being used to manage organizational learning. As with previous IS innovations, such as Enterprise Resource Planning (ERP) systems, industry practitioners and IT vendors, are addressing the ‘Learning Management’ challenge; consequently, there is a paucity of empirical research on LMS in the IS field. It is well-accepted that with little researched or understood phenomena, a research framework is required to identify fundamental constructs and variables so that such phenomena can be rigorously studied. Based on an exhaustive analysis of previous research and an extensive case study of an LMS implementation, this paper proposes a conceptual model and framework that delineates a role for LMS with respect to theories that deal with knowledge and learning management and IS which are argued to support learning and knowledge management in organizations. In so doing, this study highlights the roles that LMS can play in the support and management of learning within knowledge-intensive business enterprises

Perceptions of knowledge sharing among small family firm leaders: a structural equation model

Small family firms have many unique relational qualities with implications for how knowledge is passed between individuals. Extant literature posits leadership approach as important in explaining differences in knowledge-sharing climate from one firm to another. This study investigates how leadership approaches interact with family influence to inform perceptions of knowledge sharing. We utilize survey data (n = 110) from owner-managers of knowledge-intensive small family firms in Scotland. Our findings present a choice in leadership intention, contrasting organization-focused participation against family-influenced guidance. Insight is offered on the implications of this leadership choice at both organizational and familial level

Team Learning: A Theoretical Integration and Review

With the increasing emphasis on work teams as the primary architecture of organizational structure, scholars have begun to focus attention on team learning, the processes that support it, and the important outcomes that depend on it. Although the literature addressing learning in teams is broad, it is also messy and fraught with conceptual confusion. This chapter presents a theoretical integration and review. The goal is to organize theory and research on team learning, identify actionable frameworks and findings, and emphasize promising targets for future research. We emphasize three theoretical foci in our examination of team learning, treating it as multilevel (individual and team, not individual or team), dynamic (iterative and progressive; a process not an outcome), and emergent (outcomes of team learning can manifest in different ways over time). The integrative theoretical heuristic distinguishes team learning process theories, supporting emergent states, team knowledge representations, and respective influences on team performance and effectiveness. Promising directions for theory development and research are discussed

Managing knowledge in organizations : a Nonaka’s SECI model operationalization

Purpose: The SECI model (Nonaka, 1994) is the best-known conceptual framework for understanding knowledge generation processes in organizations. To date, however, empirical support for this framework has been overlooked. The present study aims to provide an evidence-based groundwork for the SECI model by testing a multidimensional questionnaire Knowledge Management SECI Processes Questionnaire (KMSP-Q) designed to capture the knowledge conversion modes theorized by Nonaka. Methodology: In a twofold study, the SECI model was operationalized via the KMSP-Q. Specifically, Study One tested its eight-dimensional structure through exploratory and confirmatory factorial analyses on 372 employees from different sectors. Study Two examined the construct validity and reliability by replicating the KMSP-Q factor structure in knowledge-intensive contexts (on a sample of 466 health-workers), and by investigating the unique impact of each dimension on some organizational outcomes (i.e., performance, innovativeness, collective efficacy). Findings: The overall findings highlighted that the KMSP-Q is a psychometrically robust questionnaire in terms of both dimensionality and construct validity, the different knowledge generation dimensions being specifically linked to different organizational outcomes. Research/Practical Implications: The KMSP-Q actualizes and provides empirical consistency to the theory underlying the SECI model. Moreover, it allows for the monitoring of an organization’s capability to manage new knowledge and detect the strengths/weaknesses of KM-related policies and programs. Originality/Value: This paper proposes a comprehensive measure of knowledge generation in work contexts, highlighting processes that organizations are likely to promote in order to improve their performance through the management of their knowledge resources

Internet of things security implementation using blockchain for wireless technology

Blockchain is a new security system which group many data into a block or so called classifying the data into a block. The block can have many types and each of them content data and security code. By using a decentralize mechanism, one security code protect all the data. That could happen at the server. In this research, a network of wireless sensor technology is proposed. The transmission of sensor data is via the Internet of things (Internet of Thing) technology. As many data transmitted, they have to classified and group them into a block. All the blocks are then send to the central processing unit, like a microcontroller. The block of data is then processed, identified and encrypted before send over the internet network. At the receiver, a GUI or Apps is developed to open and view the data. The Apps or GUI have an encrypted data or security code. User must key in the password before they can view the data. The password used by the end user at the Apps or GUI must be equivalent to the one encrypted at the sensor nodes. This is to satisfy the decentralized concept used in the Blockchain. To demonstrate the Blockchain technology applied to the wireless sensor network, a MATLAB Simulink function is used. The expected results should show a number of block of data in cryptography manner and chain together. The two set of data. Both have the data encrypted using hash. The black dots indicate the data has been encrypted whereas the white dot indicate indicates the data is not encrypted. The half white and half black indicates the data is in progress of encrypted. All this data should arrange in cryptography order and chain together in a vertical line. A protocol called block and chain group the data into the block and then chain then. The data appears in the blocks and send over the network. As seen in the simulation results, the yellow color represents the user data. This data has a default amplitude as 1 or 5. The data is chained and blocked to produce the Blockchain waveform Keywords: Blockchain, Internet of things, Wireless Sensor Network and MATLAB Simulin

Investigating knowledge management factors affecting Chinese ICT firms performance: An integrated KM framework

This is an Author's Accepted Manuscript of an article published in the Journal of Information Systems Management, 28(1), 19 - 29, 2011, copyright Taylor & Francis, available online at: http://www.tandfonline.com/10.1080/10580530.2011.536107.This article sets out to investigate the critical factors of Knowledge Management (KM) which are considered to have an impact on the performance of Chinese information and communication technology (ICT) firms. This study confirms that the cultural environment of an enterprise is central to its success in the context of China. It shows that a collaborated, trusted, and learning environment within ICT firms will have a positive impact on their KM performance

Learning from Profession Knowledge: Application on Knitting

Knowledge Management is a global process in companies. It includes all the processes that allow capitalization, sharing and evolution of the Knowledge Capital of the firm, generally recognized as a critical resource of the organization. Several approaches have been defined to capitalize knowledge but few of them study how to learn from this knowledge. We present in this paper an approach that helps to enhance learning from profession knowledge in an organisation. We apply our approach on knitting industry

Stakeholder engagement as a facilitator of organizational learning

This paper examines the relationship between stakeholder engagement and competence building. Following the dual perspective of the firm, which indicated that managers deal with both transactions and competences concurrently, we argue that stakeholder interactions also concern both transaction cost reduction and value creation. Based on a review of the extant literature, we incorporated a micro-macro connection between organizational learning and competence building. Further to this, we developed a conceptual framework by linking stakeholder engagement and organizational learning. This framework demonstrates that stakeholder relations may have significant effects on organizational learning and thus stakeholder engagement can play the role of facilitator in building firm competences