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Knowledge management in virtual organizations: A study of a best practices knowledge transfer model.

Description: Knowledge management is a major concern for organizations today, and in spite of investments in technology, knowledge transfer remains problematic. This study sought to determine whether a relationship exists among participant group demographics (experience), implementation of an integrated knowledge transfer system (best practices model), knowledge transfer barriers, and knowledge transfer project (Web-based training) outcome in a virtual organization. The participant organization was a network of individuals and groups who practice patient advocacy in the research and treatment of cancer. These advocates volunteer in various capacities and are not collocated nor do they report to any single organizational entity. Volunteer participants were randomly assigned to a treatment or control condition. The treatment participants received a training supplement based upon a best practices knowledge transfer model. All participants reviewed a Web-based communications training module scheduled for deployment by the participant organization. Upon completion of the training program, participants were instructed to practice specific techniques from the program. At the end of this period, participants completed an online survey that measured demographics, perceived barriers to the knowledge transfer, and project outcome. Knowledge transfer barriers were defined as knowledge, source, recipient, and organizational context characteristics that inhibit the expected transfer. Project outcome was a composite score of items measuring completion time, budget, and satisfaction of the user. Multiple regression identified two significant predictor variables, source (the training program and implementation) and experience (amount of time spent in advocacy practice). Additional analyses found knowledge (causal ambiguity and unproven knowledge) and the experimental treatment condition to show a strong relationship with the explained variance of the dependent variable, knowledge transfer project outcome. Results suggest that an online training implementation is a valid tool for certain specific transfer design characteristics. Experience was a negative predictor of outcome, suggesting that participant-specific level of training material may produce improved ...
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Date: May 2005
Creator: Berryman, Reba
Partner: UNT Libraries

Knowledge management in times of change: Tacit and explicit knowledge transfers.

Description: This study proposed a look at the importance and challenges of knowledge management in times of great change. In order to understand the information phenomena of interest, impacts on knowledge workers and knowledge documents in times of great organizational change, the study is positioned in a major consolidation of state agencies in Texas. It pays special attention to how the changes were perceived by the knowledge workers by interviewing those that were impacted by the changes resulting from the reorganization. The overall goal is to assess knowledge management in times of great organizational change by analyzing the impact of consolidation on knowledge management in Texas's Health and Human Services agencies. The overarching research question is what happened to the knowledge management structure during this time of great change? The first research question was what was the knowledge worker environment during the time of change? The second research question was what was the knowledge management environment of the agencies during the time of change? The last research question was did consolidation of the HHS agencies diminish the ability to transition from tacit to explicit knowledge? Additionally, the study investigates how the bill that mandated the consolidation was covered in the local media as well as the actual budget and employee loss impact of the consolidation in order to better understand the impacts on knowledge workers and knowledge documents as a result of major organizational restructuring. The findings have both theoretical and practical implications for information science, knowledge management and project management.
Date: December 2005
Creator: Hall, Heather Leigh
Partner: UNT Libraries

Identifying Key Success Factors for the Implementation of Enterprise Content Management Systems

Description: Enterprise content management (ECM) is an emerging research area that is beginning to find attention in academia. While the private sector has a growing industry and community for ECM, academia is starting to address this with direct links to the better-established areas of information systems and enterprise resource planning systems. ECM has been viewed as a higher-level concept of methods and strategies pertaining to content management in the context of the enterprise. Like many other organizational wide systems, ECM systems are complex, difficult to implement and risk failing to meet expected success measures. Definitions for what exactly constitutes an ECM system are still evolving. The major issues with ECM systems are that they are increasingly being implemented by organizations in an attempt to address the unmanageable amount of unstructured content over its lifecycle, compliance pressures, collaboration needs, content integrity and continuity, and controlling costs. However, the implementation problems are many and diverse, such as determining content and business processes to be included, determining technologies to fit the organizational needs, how to integrate with existing systems, and managing organizational culture and change for acceptance. There is currently little academic research in the area of ECM, and research determining the key factors that contribute to successful implementations of these systems is absent. This research addressed the existing gap in ECM research and investigated the key success factors for the implementations of ECM systems with the objectives of identifying a set of success factors. Guided by research in related areas and through developing a theoretical framework and the resulting research model, the study used a qualitative case study method to identify ECM implementation factors and their relationship to organizational culture and people, business processes, technology and organizational content. The results of this research were twofold, first by contributing needed research in the ECM ...
Date: August 2014
Creator: Horne, Stephanie Burnett
Partner: UNT Libraries

Understanding knowledge management and organizational adaptation and the influencing effects of trust and industrial cluster.

Description: Due to rapid environmental change, today's business requires a more collaborative management to ensure positive performance. One of the important means that can help firms adapt successfully to a changing environment is knowledge management. The management of information and knowledge as key to retaining competitive advantage and has recently evolved into a more strategically focused research topic for both business and academic study. Managing knowledge, however, is deemed difficult because many companies recognize the importance of their proprietary knowledge and are not willing to share it freely. Recognizing this weakness, many countries have promoted the development of regional clusters where firms can co-develop their competences and competitive advantage against the world's best competitors by sharing knowledge, resources, and innovative capabilities. Other than industrial clusters, trust is also considered an important factor in knowledge management study. Trust reduces the need to monitor others' behaviors, formalize procedures, and it lowers transaction costs. At the macro level, trust can enhance organizations' core competencies and sustain their competitive advantages through co-evolution. This may occur through the development of group collaborations, cooperative relationships, and networks. The study adopted a field survey research method and used multiple regressions as the data analysis technique. The dependent variable in the study was organizational adaptation, while the independent variables were knowledge management, trust and industrial cluster. Data were collected using survey of key informants from 943 companies. The results of the analysis suggested that knowledge management does have significant influence on organizational adaptation and both industrial cluster and trust impact on organizational learning activities. The major contribution of this study is that it offers a more holistic approach in studying knowledge management by adding a new element: knowledge applying. Moreover, this study offers an initial attempt to test industrial cluster in hopes of advancing the research in management related ...
Date: May 2008
Creator: Niu, Kuei-Hsien
Partner: UNT Libraries

Knowledge Management and Law Enforcement: An Examination of Knowledge Management Strategies of the Police Information System (POLNET) in the Turkish National Police

Description: This research study explores knowledge management (KM) in law enforcement, focusing on the POLNET system established by the Turkish National Police as a knowledge-sharing tool. This study employs a qualitative case study for exploratory and descriptive purposes. The qualitative data set came from semi-structured face-to-face and telephone interviews, as well as self-administered e-mail questionnaires. The sample was composed of police administrators who created POLNET, working under the Department of Information Technologies and the Department of Communication. A content analysis method is used to analyze the data. This study finds that law enforcement organizations' KM strategies have several differences from Handzic and Zhou's integrated KM model. Especially, organizational culture and structure of law enforcement agencies differently affect knowledge creation, conversion, retrieval, and sharing processes. Accordingly, this study offers a new model which is dynamic and suggests that outcomes always affect drivers.
Date: August 2009
Creator: Gultekin, Kubra
Partner: UNT Libraries

Impact of Forecasting Method Selection and Information Sharing on Supply Chain Performance.

Description: Effective supply chain management gains much attention from industry and academia because it helps firms across a supply chain to reduce cost and improve customer service level efficiently. Focusing on one of the key challenges of the supply chains, namely, demand uncertainty, this dissertation extends the work of Zhao, Xie, and Leung so as to examine the effects of forecasting method selection coupled with information sharing on supply chain performance in a dynamic business environment. The results of this study showed that under various scenarios, advanced forecasting methods such as neural network and GARCH models play a more significant role when capacity tightness increases and is more important to the retailers than to the supplier under certain circumstances in terms of supply chain costs. Thus, advanced forecasting models should be promoted in supply chain management. However, this study also demonstrated that forecasting methods not capable of modeling features of certain demand patterns significantly impact a supply chain's performance. That is, a forecasting method misspecified for characteristics of the demand pattern usually results in higher supply chain costs. Thus, in practice, supply chain managers should be cognizant of the cost impact of selecting commonly used traditional forecasting methods, such as moving average and exponential smoothing, in conjunction with various operational and environmental factors, to keep supply chain cost under control. This study demonstrated that when capacity tightness is high for the supplier, information sharing plays a more important role in effective supply chain management. In addition, this study also showed that retailers benefit directly from information sharing when advanced forecasting methods are employed under certain conditions.
Date: December 2009
Creator: Pan, Youqin
Partner: UNT Libraries

Knowledge-sharing Practices Among Turkish Peacekeeping Officers

Description: The Turkish National Police (TNP) peacekeeping officers experience poor knowledge-sharing practices before, during, and after their tours of duty at the United Nations (UN) field missions, thus causing knowledge loss. The study aims to reveal the current knowledge-sharing practices of the TNP peacekeeping officers and proposes a knowledge-sharing system to share knowledge effectively. It also examines how applicable the knowledge management models are for their knowledge-sharing practices. In order to gain a better understanding about the knowledge-sharing practices of TNP officers, the researcher used a qualitative research method in this study. The researcher used semi-structured interviews in data collection. The participants were selected based on the non-probability and purposive sampling method. Content analysis and constant comparison was performed in the data analysis process. The most important knowledge sources of the peacekeeping officers are their colleagues, the Internet, and email groups. The peacekeepers recommend writing reports, organizing training programs, conducting exit interviews, adopting best practices, and creating a knowledge depository. The study uncovers that organizational culture, hierarchy, and physical proximity are significant factors that have a vital impact on knowledge sharing. Knowledge Conversion Model is substantially applicable for the knowledge-sharing practices of the TNP peacekeeping officer.
Date: August 2012
Creator: Eren, Murat Erkan
Partner: UNT Libraries

Preface

Description: Preface to Knowledge Discovery and Data Design Innovation: Proceedings of the International Conference on Knowledge Management (ICKM 2017), Dallas, Texas, USA, 25-26 October 2017.
Date: October 19, 2017
Creator: Alemneh, Daniel Gelaw; Allen, Jeff M. & Hawamdeh, Suliman M.
Partner: UNT Libraries

Police officers' adoption of information technology: A case study of the Turkish POLNET system.

Description: One of the important branches of government and vital to the community, police agencies are organizations that have high usage rates of information technology systems since they are in the intelligence sector and thus have information incentives. Not only can information technologies develop intra- and inter-relationships of law enforcement agencies, but they also improve the efficiency and effectiveness of the police officers and agencies without adding additional costs. Thus, identifying the factors that influence the police officers' adoption of information technology can help predict and determine how information technology will contribute to the social organization of policing in terms of effectiveness and efficiency gains. A research framework was developed by integrating three different models, theory of planned behavior (TPB), technology acceptance theory (TAM), and diffusion of innovation theory (DOI) while adding two other factors, facility and voluntariness, to better determine the factors affecting the implementation and adoption of the POLNET software system used by the Turkish National Police (TNP). The integrated model used in this study covers not only basic technology acceptance factors, but also the factors related to policing. It also attempts to account for the factors of cultural differences by considering the important aspects of Turkish culture. A cross sectional survey was conducted among TNP officers using the POLNET system. The LISREL 8.5® analysis for the hypothesized model resulted in a good model fit; 13 of the 15 hypotheses were supported.
Date: August 2007
Creator: Yalcinkaya, Ramazan
Partner: UNT Libraries

ICKM 2017 Program

Description: This is the final program for the 2017 International Conference on Knowledge Management.
Date: October 25, 2017
Creator: Alemneh, Daniel Gelaw; Allen, Jeff M. & Hawamdeh, Suliman M.
Partner: UNT Libraries

Literature overlaps and gaps between the fields of knowledge management and humans resource development

Description: Presentation for the 2017 International Conference on Knowledge Management. This presentation describes a study of literature on the multidisciplinary processes, models, and theories common to both Knowledge Management and Human Resource Development.
Date: October 26, 2017
Creator: Mayes, Robin; Tamez, Robin & Allen, Jeff M.
Partner: UNT Libraries

Understanding Health Services Utilization by Individuals with Schizophrenia: An Interdisciplinary Knowledge Management Challenge

Description: Presentation for the 2017 International Conference on Knowledge Management. This presentation describes interdisciplinary research by a team of informatics researchers representing five academic disciplines at Texas Woman's University.
Date: October 25, 2017
Creator: Masten, Kathryn & Lantz, Elaine
Partner: UNT Libraries

Complex Adaptive Team Systems (CATS)

Description: Presentation for the 2017 International Conference on Knowledge Management. This presentation introduces a new theoretical model to facilitate interactions embedded in complex adaptive systems utilizing a Team Emergence Leadership Development and Evaluation model.
Date: October 26, 2017
Creator: Turner, John; Baker, Rose M. & Romine, Kerry
Partner: UNT Libraries

Knowledge Sharing: Examining Employee Perceptions Using Structural Equation Modeling

Description: During team decision-making practices information is often shared among team members as part of the decision making process. Knowledge sharing involves one team member sharing information so that other team members can encode the knowledge to make their own mental representation of the new information (Huan & Jiang, 2012). Unfortunately, the literature has shown that new information is not always shared between team members during decision making processes (Stasser & Titus, 1985). When teams make decisions without considering all the information available poor decisions can result. This research study tests a team conceptual model derived by Turner (2013) addressing attitudes toward knowledge sharing. Structural equation modeling was conducted to test a portion of Turner’s (2013) team conceptual model. The tested model included the independent variables of psychological safety, team conflict, team cohesion, and transactive memory systems. The dependent variable for the dissertation was knowledge sharing.
Date: August 2015
Creator: Turner, John R.
Partner: UNT Libraries

Modeling the Role of Boundary Spanners-in-Practice in the Nondeterministic Model of Engineering Design Activity

Description: Boundary spanners-in-practice are individuals who inhabit more than one social world and bring overlapping place perspectives to bear on the function(s) performed within and across each world. Different from nominated boundary spanners, they are practitioners responsible for the 'translation' of each small world's perspectives thereby increasing collaboration effectiveness to permit the small worlds to work synergistically. The literature on Knowledge Management (KM) has emphasized the organizational importance of individuals performing boundary spanning roles by resolving cross-cultural and cross-organizational knowledge system conflicts helping teams pursue common goals through creation of "joint fields" - a third dimension that is co-jointly developed between the two fields or dimensions that the boundary spanner works to bridge. The Copeland and O'Connor Nondeterministic Model of Engineering Design Activity was utilized as the foundation to develop models of communication mechanics and dynamics when multiple simultaneous interactions of the single nondeterministic user model, the BSIP and two Subject Matter Experts (SMEs), engage during design activity in the Problem-Solving Space. The Problem-Solving Space defines the path through the volumes of plausible answers or 'solution spaces' that will satisfice the problem presented to the BSIP and SMEs. Further model refinement was performed to represent expertise seeking behaviors and the physical and mental models constructed by boundary spanners-in-practice during knowledge domain mapping. This was performed by mapping the three levels of communication complexity (transfer, translation and transformation) to each knowledge boundary (syntactic, semantic and pragmatic) that must be bridged during knowledge domain mapping.
Date: December 2015
Creator: Linkins, Kathy L.
Partner: UNT Libraries

Propensity for knowledge sharing: An organizational justice perspective.

Description: Converting individual knowledge into organizational knowledge can be difficult because individuals refuse to share knowledge for a number of different reasons. Creating an atmosphere of fairness plays an important role in the creation of a knowledge-sharing climate. This dissertation proposes that perceptions of organizational justice are crucial building blocks of that environment, leading to knowledge sharing. Data was collected using a field survey of IT managers representing a broad spectrum of the population in terms of organizational size and industry classification. The survey instrument was developed based on the adaptation of previously validated scales in addition to new items where no existing measures were found. Hypotheses regarding the influence of distributional, procedural, and interactional justice on knowledge sharing processes were tested using structural equation modeling techniques. Based on the theory of reasoned action, which states that attitudes and subjective norms are the major determinants of a person's intention, the hypotheses examining the relationship between attitude toward knowledge sharing, subjective norm and the intention to share knowledge were supported. However, results did not support the hypothesis exploring the relationship between the organizational climate and the intention to share knowledge. The results show that all three types of justice constructs are statistically significant antecedents of organizational climate and interactional justice is an antecedent of an attitude toward knowledge sharing. The study attempts to merge streams of research from sociology and organizational behavior by investigating organizational justice and knowledge management. It contributes to theory by the development of the survey instrument, comprised of seven constructs that were developed by incorporating multiple theories to address various aspects of knowledge sharing and provide application to practice and research. It is relevant to IT managers who need to know how to design information systems that are most effective in distributing knowledge throughout organizations.
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Date: August 2006
Creator: Ibragimova, Bashorat
Partner: UNT Libraries