Global ETD Search

41	Assessment of community health volunteers' knowledge regarding infant and young child feeding in Tewor District, Grand Cape Mount County, Liberia Demissie, Shiferaw Dechasa 12 March 2013 (has links) The objectives of the study were to determine infant and young child feeding (IYCF) knowledge of Household Health Promoters (HHPs) and examine its relationship with demographic characteristics. Quantitative, non-experimental descriptive design was used. Seventy-one randomly selected HHPs participated in the study. A structured questionnaire was used to collect the data. The results showed that the mean IYCF knowledge score was 77.8% (N=71). The knowledge of the respondents was not uniform across the components of IYCF which ranged between 19.72% for duration of breastfeeding to 100% for colostrums feeding. None of the socio-demographic characteristic was significantly associated to the mean knowledge score. The study identified that refresher training should be provided to the HHPs on IYCF with emphasis on the aspects of IYCF with scores below the mean / Health Studies Knowledge retention Community health volunteers role Community halth volunteers training Refresher Training Breastfeeding Complimentary feeding Vitamin A supplementation Child survival Infant and young child nutrition Infant and young child feeding Behaviour change Care group 613.2083
42	ADDRESSING CORPORATE KNOWLEDGE LOSS IN A UNIVERSITY UTILITY PLANT Kelly A McFall (9622742) 16 December 2020 (has links) <p>This research was a pilot study in a larger project that focused on how to retrieve knowledge from retiring long-term employees of a small university utility plant, incorporate that material into their existing training program, and during the process reduce the training time for current and future employees. Wade utility plant faced the retirement of eight employees with nearly 200 years of corporate knowledge within three years, but their current training program required seven to nine years to complete. The study utilized interviews, first-hand observation and partnership with current employees to explore how best to obtain the corporate knowledge that would be lost when the proletarian workers retired. The study revealed that the training program needed to be updated, and communication, trust and training evaluation continuity needed to be addressed. Due to these issues, trust was built through transparency by the researcher, and suggestions were made to management for moving forward. This study adds to the body of knowledge by utilizing knowledge capture techniques in a utility plant, highlighting effective knowledge capture techniques for proletarian workers, the importance of corporate planning for the effect of group retirements, and how incorporating proletarian workers into training creation can make a positive impact on company relationships.</p> Technology not elsewhere classified utility plants Knowledge capture Knowledge retention Baby Boomers trust cues Knowledge loss Retirement blue collar Interview Corporate Culture Communication observation techniques Training CCHP Knowledge transfer proletarian knowledge management training time reduction corporate communication building trust corporate planning implicit explicit tacit scaffolded learning OJT stationary engineer knowledge collection methodology single subject research content analysis active listening
43	The knowledge continuum as an enabler for growth and sustainability in the South African basic education system / Mariè Steenhuisen. Steenhuisen, Maria Jacoba January 2012 (has links) The poor state and failure of the basic education system in South Africa gave rise to this research. The wave of knowledge loss experienced in the last two decades is expected to carry on and will continue to deplete the basic education system’s knowledge base, severely affecting the already poor quality of education as well as the future economic growth and sustainability in South Africa. The main research objective was to establish whether future growth and sustainability in the basic education system in South Africa is achievable; which factors it is influenced by; and how knowledge continuity could impact on future growth and sustainability. A multidisciplinary approach focusing on organisational performance, knowledge management, individual and organisational behaviour and organisational development was followed. The nature of growth and sustainability and knowledge continuity in organisations was explored by following a contextualisation theory-building process. The main objective of the empirical research study was to determine by means of quantitative research the degree to which the influencing factors would enhance or impede growth and sustainability in an organisation. A quantitative survey method was followed. A questionnaire was developed and the survey was performed in 6 primary and secondary schools of the basic education system in South Africa. The questionnaire was found to be reliable with a Cronbach’s alpha of .8060. In the descriptive factor analysis process, principal component factor analysis was conducted, which described the five constructs that would influence growth and sustainability. These constructs’ dimensions produced significant intercorrelations which indicate that the dimensions are for the most part intercorrelated with each other in contributing to growth and sustainability. The multiple regression analysis indicated that knowledge loss would have an exceptionally strong impact on knowledge; and that knowledge, information and performance would significantly predict growth and sustainability. Organisations should change the focus for growth from physical assets to the development of intellectual capital, and knowledge continuity should form part of an organisations’ business strategy and mission. Knowledge continuity will only be successful if a culture conducive of trust and knowledge sharing and transfer exist, and are supported by effective and appropriate human resource practices and incentives. A structural equation model development strategy produced a knowledge continuity model aimed at enabling future growth and sustainability, based on the constructs confirmed in the factor analysis. The model indicated that there is a direct causal relationship between knowledge, information and performance with growth and sustainability. The regression analysis showed that most of the intercorrelations are significant, thus confirming the theory. The newly developed questionnaire and structural equation model should enable organisations to measure the degree to which the enhancing individual and organisational behavioural factors of growth and sustainability are in place and provide the measurement outcomes that would identify the factors that need to be focused on to improve and enable future growth and sustainability in an organisation. / Thesis (MBA)--North-West University, Potchefstroom Campus, 2013. Knowledge continuity future growth and sustainability knowledge organisational knowledge knowledge management intellectual capital continuity management knowledge loss knowledge retention knowledge sharing and transfer knowledge trust organisational learning information information technology productivity total quality management shared vision vision, mission and values commitment aligned commitment organisational culture culture and change performance strengthening performance management rewards and recognition job satisfaction engagement capacity building talent management employee engagement employee empowerment organisational behaviour individual behaviour organisational learning multidisciplinary approach basic education system enable business strategy leadership people resources relationships policies and procedures
44	The knowledge continuum as an enabler for growth and sustainability in the South African basic education system / Mariè Steenhuisen. Steenhuisen, Maria Jacoba January 2012 (has links) The poor state and failure of the basic education system in South Africa gave rise to this research. The wave of knowledge loss experienced in the last two decades is expected to carry on and will continue to deplete the basic education system’s knowledge base, severely affecting the already poor quality of education as well as the future economic growth and sustainability in South Africa. The main research objective was to establish whether future growth and sustainability in the basic education system in South Africa is achievable; which factors it is influenced by; and how knowledge continuity could impact on future growth and sustainability. A multidisciplinary approach focusing on organisational performance, knowledge management, individual and organisational behaviour and organisational development was followed. The nature of growth and sustainability and knowledge continuity in organisations was explored by following a contextualisation theory-building process. The main objective of the empirical research study was to determine by means of quantitative research the degree to which the influencing factors would enhance or impede growth and sustainability in an organisation. A quantitative survey method was followed. A questionnaire was developed and the survey was performed in 6 primary and secondary schools of the basic education system in South Africa. The questionnaire was found to be reliable with a Cronbach’s alpha of .8060. In the descriptive factor analysis process, principal component factor analysis was conducted, which described the five constructs that would influence growth and sustainability. These constructs’ dimensions produced significant intercorrelations which indicate that the dimensions are for the most part intercorrelated with each other in contributing to growth and sustainability. The multiple regression analysis indicated that knowledge loss would have an exceptionally strong impact on knowledge; and that knowledge, information and performance would significantly predict growth and sustainability. Organisations should change the focus for growth from physical assets to the development of intellectual capital, and knowledge continuity should form part of an organisations’ business strategy and mission. Knowledge continuity will only be successful if a culture conducive of trust and knowledge sharing and transfer exist, and are supported by effective and appropriate human resource practices and incentives. A structural equation model development strategy produced a knowledge continuity model aimed at enabling future growth and sustainability, based on the constructs confirmed in the factor analysis. The model indicated that there is a direct causal relationship between knowledge, information and performance with growth and sustainability. The regression analysis showed that most of the intercorrelations are significant, thus confirming the theory. The newly developed questionnaire and structural equation model should enable organisations to measure the degree to which the enhancing individual and organisational behavioural factors of growth and sustainability are in place and provide the measurement outcomes that would identify the factors that need to be focused on to improve and enable future growth and sustainability in an organisation. / Thesis (MBA)--North-West University, Potchefstroom Campus, 2013. Knowledge continuity future growth and sustainability knowledge organisational knowledge knowledge management intellectual capital continuity management knowledge loss knowledge retention knowledge sharing and transfer knowledge trust organisational learning information information technology productivity total quality management shared vision vision, mission and values commitment aligned commitment organisational culture culture and change performance strengthening performance management rewards and recognition job satisfaction engagement capacity building talent management employee engagement employee empowerment organisational behaviour individual behaviour organisational learning multidisciplinary approach basic education system enable business strategy leadership people resources relationships policies and procedures
45	Introducing Generative Artificial Intelligence in Tech Organizations : Developing and Evaluating a Proof of Concept for Data Management powered by a Retrieval Augmented Generation Model in a Large Language Model for Small and Medium-sized Enterprises in Tech / Introducering av Generativ Artificiell Intelligens i Tech Organisationer : Utveckling och utvärdering av ett Proof of Concept för datahantering förstärkt av en Retrieval Augmented Generation Model tillsammans med en Large Language Model för små och medelstora företag inom Tech Lithman, Harald, Nilsson, Anders January 2024 (has links) In recent years, generative AI has made significant strides, likely leaving an irreversible mark on contemporary society. The launch of OpenAI's ChatGPT 3.5 in 2022 manifested the greatness of the innovative technology, highlighting its performance and accessibility. This has led to a demand for implementation solutions across various industries and companies eager to leverage these new opportunities generative AI brings. This thesis explores the common operational challenges faced by a small-scale Tech Enterprise and, with these challenges identified, examines the opportunities that contemporary generative AI solutions may offer. Furthermore, the thesis investigates what type of generative technology is suitable for adoption and how it can be implemented responsibly and sustainably. The authors approach this topic through 14 interviews involving several AI researchers and the employees and executives of a small-scale Tech Enterprise, which served as a case company, combined with a literature review. The information was processed using multiple inductive thematic analyses to establish a solid foundation for the investigation, which led to the development of a Proof of Concept. The findings and conclusions of the authors emphasize the high relevance of having a clear purpose for the implementation of generative technology. Moreover, the authors predict that a sustainable and responsible implementation can create the conditions necessary for the specified small-scale company to grow. When the authors investigated potential operational challenges at the case company it was made clear that the most significant issue arose from unstructured and partially absent documentation. The conclusion reached by the authors is that a data management system powered by a Retrieval model in a LLM presents a potential path forward for significant value creation, as this solution enables data retrieval functionality from unstructured project data and also mitigates a major inherent issue with the technology, namely, hallucinations. Furthermore, in terms of implementation circumstances, both empirical and theoretical findings suggest that responsible use of generative technology requires training; hence, the authors have developed an educational framework named "KLART". Moving forward, the authors describe that sustainable implementation necessitates transparent systems, as this increases understanding, which in turn affects trust and secure use. The findings also indicate that sustainability is strongly linked to the user-friendliness of the AI service, leading the authors to emphasize the importance of HCD while developing and maintaining AI services. Finally, the authors argue for the value of automation, as it allows for continuous data and system updates that potentially can reduce maintenance. In summary, this thesis aims to contribute to an understanding of how small-scale Tech Enterprises can implement generative AI technology sustainably to enhance their competitive edge through innovation and data-driven decision-making. UX HCD HCI AI Artificial Intelligence Generative AI Implementing AI LLM GPT RAG Chatbot Prompt engineering Prompting framework Hallucinations Transparency Interaction Technologies Usability Linguistics Innovation SME Tech Enterprise Qte Growth factors Documentation Communication Knowledge retention Competence development Education Training Retrieval Model Data Data Management Database Knowledge base Maintenance Data security Data driven decision making Data analytics Social sustainability Economical sustainability Figma Trello Github OpenAI GTPs VsCode Azure CoPilot Google Bard Zapier GCS API Pipeline Parsing data Sorting data Storing data Human Computer Interaction Interaction Technologies Interaktionsteknik

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