Knowledge Management Techniques Research Articles

Structuration theory perspective of Big Data in a typical South African municipality

Background: Big Data, sourced from various digital sources, offers valuable insights for better decision-making, and organisations are implementing Big Data technologies to improve their services. This article is about how the City of Tshwane (CoT), a South African metropolitan municipality is using data collected from its various information and communication technology (ICT) projects to improve decision-making.Objectives: The study aims to identify the type of Big Data generated by South African municipalities and to establish ways in which knowledge, expertise and suitable management techniques impact the efficient application of Big Data in these municipalities.Method: A qualitative approach, a case study method and Semi-structured interviews were deemed fit to collect data while thematic analysis was employed to identify patterns and themes associated with participants’ experiences. Structuration Theory was used to analyse existing social structures that govern how Big Data is used in the CoT.Results: There is a lack of data integration and a Big Data management system in the CoT. However, the CoT is ready to embrace Big Data and it is currently establishing a unit to effectively analyse collected data.Conclusion: Big Data’s potential for developing effective data management systems has garnered significant attention in the public sector and the CoT is also ready to fully adopt and implement these technologies.Contribution: South African municipalities can effectively utilise Big data by establishing skilled staff, good infrastructure and suitable policies for efficient data generation and interpretation.

Understanding the Link Between INSET Attendance and Teaching Efficiency of High School Teachers

Recognizing the importance of in-service education and training (INSET) for teacher development, this study investigated its effectiveness in enhancing teaching efficiency among high school teachers at Southern Baptist College. Employing a convergent mixed-methods design with twenty-three participants, the study revealed that high school teachers generally perceive in-service education and training (INSET) positively and value its effectiveness in enhancing teaching skills and practices, but there is no significant relationship between the frequency of attending INSET programs and teaching efficiency. The study identified five essential guidelines that include conducting targeted needs assessments, practical application, individualized professional development plans, ongoing mentoring, and data-informed evaluation systems. The result revealed that the programs of in-service education and training attended by high school teachers were the pedagogy workshops, subject-specific training, technology integration, assessment and evaluation and professional development designed to enhance teacher’s teaching skills, subject knowledge, and classroom management techniques. Majority of the respondents attended the programs conducted by Southern Baptist College, Inc. The themes such as personal and professional growth, improved teaching effectiveness, enhanced mental abilities, positive workplace changes, transformative challenges, and emphasize collaborative approaches were drawn to address challenges and maximize benefits of ongoing professional development initiatives. Moreover, the effectiveness of in-service education and training (INSET) attended by high school teachers is perceived positively. The high school teachers in majority got Very Satisfactory in their teaching effectiveness. However, there is a weak positive correlation between the effectiveness of attending in-service training (INSET) and teaching efficiency of high school teachers. Thus, null hypothesis was not rejected.

Leveraging Knowledge Management Techniques for Developing Multimedia Exercise Guides for Elderly Fall Prevention

In this research study, the primary objective was to develop a comprehensive exercise program specifically designed for elderly individuals. The focus was on evaluating various exercise postures and validating their impact on muscle groups. By integrating knowledge management systems with knowledge engineering methodologies, the aim was to optimize the design of exercise postures and promote optimal health outcomes for the elderly. Divided into three distinct experiments, the study employed a systematic approach to acquire, represent, and validate knowledge related to exercise postures for the elderly population. The use of knowledge management systems and engineering methodologies facilitated the design of effective exercise postures tailored to meet the unique needs and capabilities of elderly individuals. Experiment I focused on knowledge acquisition through structured interviews with physical therapists. The acquired knowledge was used to screen and prioritize exercise postures suitable for elderly individuals. Expert recommendations and analysis were employed to select a set of exercise postures. Using a matrix combination approach, 189 possible exercise postures were generated by combining aerobic and dance postures. Through a screening process, 52 postures were selected as suitable for elderly individuals. Experiment II utilized kinesthetic representation techniques to visually represent the 52 selected exercise postures for the elderly. Additionally, frame representation was employed to capture muscle specifications associated with each posture. The representation design was validated by physical exercise experts. In the first step of Experiment III, a total of 52 exercise postures were implemented and evaluated with elderly participants. The implementation and validation process aimed to identify the best and most appropriate postures for the elderly, considering factors such as satisfaction levels, difficulty levels, and safety considerations. Through this rigorous evaluation, the initial selection of 52 postures was narrowed down to a final set of 21 suitable postures. The validation results provided valuable insights into the effectiveness of the exercise postures and their impact on the elderly participants. It ensured that the chosen postures were not only effective in promoting optimal health outcomes but also minimized the risk of injury. The iterative assessment and refinement process contributed to the development of an evidence-based exercise program specifically tailored to the unique needs and capabilities of elderly individuals. For the second step of Experiment III, the effects of the selected exercise postures on different muscle groups were validated. Three physical exercise experts evaluated the impact on upper limb, trunk, and lower limb muscles. Specific muscle groups, such as brachioradialis, deltoid, quadriceps, and hamstring, were found to be strongly focused on during the exercises, while trunk muscles were rated as poor overall. The evaluation involved implementing and evaluating a total of 52 exercise postures with elderly participants. The selection of the final 21 postures was based on the evaluation results and provided insights into satisfaction levels, difficulty levels, and safety considerations for each exercise posture. The validation outcomes showed a high level of agreement among the experts, ranging from 79% to 91%. For conclusion, this research aimed to enhance exercise programs for the elderly by developing more effective methodologies for designing exercise postures. By considering the specific requirements of the elderly population and utilizing knowledge management systems, the study successfully created exercise postures that maximize health benefits and overall well-being. Through the implementation of knowledge engineering methodologies and the utilization of knowledge management systems, the research optimized the design of exercise postures for elderly individuals. The division of the study into three experiments enabled a comprehensive analysis of the acquired knowledge, leading to the development of exercise postures specifically tailored to the needs of the elderly population.

The Linkage Between Knowledge Management Practices and Sustainable Business Growth: Empirical Evidence from Nigeria

Purpose: The objective of this study is to examine the correlation between knowledge management (KM) and lasting company expansion within a specific group of family enterprises located in Lagos State, Nigeria. The study encompasses an examination of six distinct sub-variables, namely knowledge sharing, knowledge training, knowledge capture, knowledge transfer, knowledge acquisition, and knowledge application, in relation to the variable of knowledge management. Additionally, it considers four dependent sub-variables, namely profitability, number of employees, customer base, and market share, in relation to the variable of sustainable business growth. Methods: A survey research methodology was employed in this study to examine the correlation between knowledge management and business performance among a specific group of family companies located in Lagos State, Nigeria. This article employed a cross-sectional survey research design and utilised a quantitative technique. This design was adopted based on the research topic and its associated research questions. This paper utilised the previous research methodology employed by Olubiyi, Egwakhe, Amos, and Ajayi (2019), Olubiyi (2019), Olubiyi, Lawal, & Adeoye (2022), Olubiyi (2022), and Olubiyi, Jubril, Sojinu, and Ngari (2022). The study employed a cross-sectional survey approach and focused on a population of family businesses, specifically owners/managers of selected small and medium-sized enterprises (SMEs) in Lagos State, Nigeria. Results and Conclusion: The findings is consistent with the conceptual framework and these studies (Fulgence, Hu, Larbi-Siaw, Tuo, & Gnahe, 2022; Ge & Campopiano, 2021; Ha, Lo, Suaidi, Mohamad,& Razak,2021; Hernández‐Perlines, Moreno‐García, & Yáñez‐Araque, 2017; Inkinen, 2016; Majid, Mahmud, 2019; Marija, 2022; Olubiyi, 2020; Patwary, Alwi, Rehman, Rabiul, Babatunde, & Alam, 2022; Santoro, Messeni-Petruzzelli, & Del Giudice, 2021; Shafique, Kalyar, Patwary, Alwi, Rehman, Rabiul, Babatunde, & Alam, 2022; Shafique, Kianto, & Beh, 2022; Su, & Daspit, 2021; Tan, Hii,. & Cheong, 2022; Torabi, & El-Den, 2017; Zamfir, 2022). Furthermore, the findings of the research validate the empirical data about the correlation between knowledge management strategies and the long-term viability of family enterprises. Evidence suggests that the growth of enterprises in Lagos State, Nigeria is significantly influenced by several factors such as knowledge training, knowledge generation, knowledge capture, information sharing, knowledge transfer, and knowledge application. The data analysis demonstrated a significant correlation between knowledge management techniques and the long-term survival of family firms (R2=0.252, F(6, 461)=27.167; p<0.05). Research implication: The report acknowledges that its findings and implications are specific to Lagos, Nigeria, with a primary focus on family enterprises. Hence, the research might be further extended by conducting comparable studies on major corporations in Nigeria or other regions. In order to enhance the generalizability and reliability of the findings, it is advisable to increase the sample size by incorporating a larger number of respondents through the use of new data collection methods. The primary obstacle in getting objective performance metrics in the majority of family businesses in Lagos State, Nigeria, was the lack of data. Consequently, non-financial performance indicators were employed as a solution. Originality/value: The objective of this study is to examine the correlation between knowledge management (KM) and sustainable business growth within a specific group of family companies located in Lagos State, Nigeria. This study enhances the understanding of knowledge management strategies employed by owner-managers in family businesses, making it relevant to entrepreneurs, policymakers, and scholars. The research presents an innovative analysis of current sources, specifically focusing on the primary metrics employed to assess the knowledge management and sustainable business expansion of family enterprises. This study addresses the want for enhanced lucidity and comprehension within the family business industry.

Navigating Innovation Highways: Unraveling the Entrepreneurial Culture's Role with Knowledge Management as the Mediator in Automotive Technology Innovations

The electric vehicle (e-vehicle) automotive sector in India has been undergoing substantial expansion and metamorphosis, propelled by reasons like governmental regulations, ecological considerations, and technological progress. The objective of this study is to determine the impact of entrepreneurial Culture on technical innovation in the e-vehicle automobile business, while also examining the role of knowledge management as a mediator. Employing a cross-sectional design, data for analysis were gathered using a questionnaire technique from managers and employees of six e-vehicle automobile industries in India. Despite distributing 500 questionnaires, the study received responses from 53 managers and 332 employees. Utilizing the PLS-SEM approach, the research reveals the positive influence of an entrepreneurial culture on technological innovation. Moreover, it highlights the partial mediation effect of knowledge management in the relationship between entrepreneurial culture and technology innovation. These findings carry substantial implications for businesses in the e-vehicle sector aiming to enhance their innovation capabilities by fostering an entrepreneurial culture and implementing effective knowledge management techniques.

Knowledge, attitude and practice of home management of diarrhea among under-five children in East Africa: A systematic review and meta-analysis.

Diarrhea is particularly prevalent in low-income or marginalized populations because these groups have less access to clean water sources, hygienic conditions, and healthcare. Dehydration due to electrolyte and fluid loss is the main cause of deaths associated with diarrhea. An especially important factor in this death from dehydration is the caregivers' knowledge, attitude, and diarrhea management techniques. While a number of research have been done on managing diarrhea at home, the results tend not to be consistent. This systematic review and meta-analysis aimed to assess the pooled estimate of knowledge, attitude and practice of home-based management of diarrhea in East Africa. Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines was used to search articles from electronic databases (Cochrane library, Ovid platform (Medline, Embase, and Emcare), Google Scholar, CINAHL, PubMed, and institutional repositories in East Africa countries. The last search date was on 01/06/ 2023 Gregorian Calendar. The authors extracted year of publication, country, study design, knowledge level, attitude level and practice level of home-based management of diarrhea. A weighted inverse variance random-effects model was used to estimate the pooled prevalence of knowledge, attitude and practice of home-based management of diarrhea. Subgroup analysis was done by country, and sample size. Publication bias and sensitivity analysis were also done. A total of 19 articles with (n = 7470 participants) were included for the final analysis. From the random-effects model analysis, the pooled prevalence of good practice, good knowledge and favorable attitude towards home based management of diarrhea in East Africa was found to be 52.62% (95% CI: 45.32%, 59.92%) (95% CI: I2 = 78.3%; p < 0.001), 37.44% (95% CI: 26.99%, 47.89%) (95% CI: I2 = 89.2%; p < 0.001) and 63.05% (95% CI: 35.7%, 90.41%) (95% CI: I2 = 97.8%; p < 0.001) respectively. The level of good knowledge, attitude and practice of home based management of diarrhea in East Africa is found to be low. A collaborative effort from different stakeholders to enhance the knowledge, attitude and practice is needed to tackle the burden of diarrhea and its consequences.

Analysing the Knowledge Management Culture of Construction Firms in Abuja

Construction projects are temporal in nature and involves project managers assembling construction professionals that are often disbanded immediately a project is completed. This disbandment causes construction knowledge that firms accumulate from the experience of teams to be lost or go uncaptured. This is a concern for firms that need to retain knowledge to remain competitive and often compete for limited contracts. Research into construction knowledge tends to focus on the relationship between the culture of organisations and construction knowledge. A second piece of the literature focusses on the nexus between construction knowledge and organisational performance. However, investigations that examine the knowledge management culture in construction firms with a view to analyse various issues and factors involved is limited. Therefore, the aim of this study is to examine the knowledge management culture within organizations in the Federal Capital Territory, Abuja, Nigeria. A descriptive survey approach is adopted, and data is obtained through questionnaires in Abuja. The results showed that many construction firms struggle or fail to formally capture/share construction knowledge because many employees have little or basic knowledge of knowledge management techniques or tools and often rely heavily on face-to-face interactions to share knowledge. The study argues that a superior knowledge of as well as an increased adoption of knowledge management techniques and tools by employees can significantly enhance the ability of an organisation to share and capture construction knowledge to minimise knowledge loss.

Impact of Knowledge Management Strategies on Organizational Ambidexterity Mediated by Organizational Learning Capability

Background: This study intends to investigate the relationship between organizational ambidexterity and knowledge management practices, with a focus on travel and tourism industries specifically. The research is conducted using a descriptive-correlation approach and involves 72 businesses located in Qom, Mashhad, and Tehran. A total of 369 managers and personnel from these organizations participated in the study, providing valuable insights into the dynamics of knowledge management and its impact on organizational learning and ambidexterity within the tourism sector. Methods: In this study, descriptive-correlation research methodology was used. Data were collected through a questionnaire distributed to 369 managers and personnel from 72 tourism organizations. The questionnaire focused on assessing the participants' perspectives on knowledge management strategies, organizational learning capability, and organizational ambidexterity. This quantitative approach allowed for the examination of relationships and mediation effects within the specified variables. Findings: The results of the study show substantial correlation between organizational ambidexterity, learning ability, and knowledge management techniques. It was found to be fascinating that the relationship between organizational ambidexterity and knowledge management strategies in the tourism setting was partially mediated by organizational learning capacity. Conclusion: In conclusion, tourism companies should place a high priority on implementing both explicit and tacit knowledge management strategies in order to attain structural ambidexterity. Effective HRM procedures as well as the advancement of knowledge management and information technology infrastructures must serve as the cornerstones of these strategies. Encouraging learning, unlearning, relearning, experimentation, and knowledge sharing are pivotal for enhancing organizational learning capability and, consequently, achieving organizational ambidexterity. This study underscores the need for a holistic approach that integrates human and technological elements to foster a dynamic and adaptable organizational structure in the tourism sector.

Knowledge Management and Data Analysis Techniques for Data-Driven Financial Companies

AbstractIn today’s fast-paced financial industry, knowledge management and data-driven decision making have become essential for the success of financial technology (FinTech) companies. Big data (BD) is a prevalent phenomenon that can be found across many industries, including finance. Despite its complexity and difficulty to comprehend, big data is a critical component of financial services enterprises and technology architectures. We examine BD from various aspects, considering data science (DS) techniques and methodologies that can be applied during the operation of an enterprise. Our aim is to provide an overview of knowledge management (KM) practices and data analysis (DA) strategies and techniques in the daily operations of financial companies. We address the role of knowledge management, data analytics in a financial institution. The paper demonstrates financial institutions’ enablement for new services resulting from technological advancements.

Indigenous knowledge management practices in subsistence farming: A comprehensive evaluation

The research evaluated the levels to which subsistence yam farmers operationalized indigenous knowledge management during the COVID-19 period. A descriptive survey approach was employed. The research comprised 120 randomly selected peasant yam farmers. Means, t-test, standard deviation, and ANOVA analysis were used to evaluate the data. The level of indigenous knowledge management process in terms of conversion, distribution, acquisition, application, and protection was moderate amongst the peasant yam farmers. Again, the level of indigenous knowledge management infrastructure in terms of culture, structure and technology was moderate amongst the peasant yam farmers. The study did not find a significant difference in the operationalization of indigenous knowledge management between male and female participants. Nevertheless, the study revealed a significant difference in the levels of operationalization of indigenous knowledge management among the different extension operational zones. Practically, the study emphasizes the significance of using, documenting, and reusing indigenous knowledge management strategies, thus, experienced (tacit), discovered (implicit), and known (explicit) knowledge which enriches the knowledge management literature. These strategies are highly beneficial in fulfilling the information requirements of farmers, particularly in times of a pandemic like COVID-19. It is recommended that training and capacity-building programs be provided to peasant yam farmers on effective knowledge management techniques. Older farmers need to be encouraged to mentor and pass down their indigenous knowledge to younger generations to ensure the continuity of valuable traditional practices.

Identifying Knowledge Management Processes in Futures Research

Governments and organizations utilize Knowledge Management to create, share, use, and manage their knowledge to gain competitive and strategic advantages. They also use Futures Research techniques, such as Foresight, technology assessment, and technological forecasting, to comprehend the forces that shape the future and consequently affect them. Despite Knowledge Management and Futures Research being two distinct subjects, they support decision-making processes and help people make the right decisions, sharing unexplored similarities. However, there is a lack of understanding regarding the relationship between Knowledge Management and Futures Research, the integration of Futures Research techniques to support Knowledge Management processes within organizations, and how specific Futures Research techniques align with different knowledge dimensions. A brief search showed us that academic literature that combines knowledge from both areas is quite scarce. By identifying the similarities between Knowledge Management and Futures Research, this work aims to demonstrate how to apply Futures Research techniques to Knowledge Management processes, particularly in the SECI (Socialization, Externalization, Combination, and Internalization) knowledge creation and conversion model. Therefore, this study analyzes 53 Futures Research techniques, such as Scenarios, Brainstorming, Expert Panels, Delphi, and Bibliometrics, among others, to establish a relationship between Knowledge Management and Futures Research. The proposal also includes exploring the relationship between different Futures Research techniques and the four knowledge conversion dimensions according to the SECI model, providing justification for how Futures Research techniques can be helpful for knowledge conversion activities. With the relationships between Futures Research techniques and Knowledge Management processes established, a framework is provided for further development of practical guidance on how organizations and governments can integrate the implementation of Knowledge Management and Futures Research techniques, particularly with methods that are useful for decisions regarding technological investments. Understanding the relationship between Knowledge Management and Futures Research is expected to provide valuable insights for governments and organizations seeking to improve their decision-making processes through Knowledge Management.

A risk-based soft sensor for failure rate monitoring in water distribution network via adaptive neuro-fuzzy interference systems

Water Distribution Networks (WDNs) are considered one of the most important water infrastructures, and their study is of great importance. In the meantime, it seems necessary to investigate the factors involved in the failure of the urban water distribution network to optimally manage water resources and the environment. This study investigated the impact of influential factors on the failure rate of the water distribution network in Birjand, Iran. The outcomes can be considered a case study, with the possibility of extending to any similar city worldwide. The soft sensor based on the Adaptive Neuro-Fuzzy Inference System (ANFIS) was implemented to predict the failure rate based on effective features. Finally, the WDN was assessed using the Failure Modes and Effects Analysis (FMEA) technique. The results showed that pipe diameter, pipe material, and water pressure are the most influential factors. Besides, polyethylene pipes have failure rates four times higher than asbestos-cement pipes. Moreover, the failure rate is directly proportional to water pressure but inversely related to the pipe diameter. Finally, the FMEA analysis based on the knowledge management technique demonstrated that pressure management in WDNs is the main policy for risk reduction of leakage and failure.

Knowledge Management Implementation to Improve Performance in Testing and Subsea Division at Big Red Company

The approaching retirement of experienced petroleum engineers and technical staff, which threatens to result in the loss of a significant quantity of cumulative knowledge and expertise, is one of the major challenges facing the industry. Within the next ten years, it is predicted that approximately 231,000 years of collective knowledge will be on the line. To overcome this difficulty, knowledge management has emerged as a major method. This research investigates the strategies, tools, and processes implemented to successfully capture, organize, and share knowledge across the organization through a thorough analysis of the KM initiatives undertaken by Big Red Company. With a focus on their effective application by national and international oil companies in Indonesia, it also examines the results and impacts of these KM practices on the company's performance and competitiveness in both local and global contexts. Considering these circumstances, the company needs to improve the knowledge management system for managing knowledge, which is through the implementation of a Knowledge Management (KM) system. In doing this, the research is based on two research questions. The first is how is the current Knowledge Management maturity level in the Big Red Company Operation Division, specifically in the Testing and Subsea, and the second is What is the knowledge management implementation plan that can be suggested related to the proposed knowledge management process after knowing the maturity level of knowledge management in Big Red Company. These two research questions will be answered using theories related to knowledge, knowledge management, and two knowledge management frameworks, namely APO Knowledge Management Framework and Socialization, Externalization, Combination, Internalization (SECI). Because a qualitative method is used in this research, data is collected through interviews and observations, which are then analysed using thematic analysis. The results of data collection show that there are several issues related to the APO KM Framework and SECI frameworks. These issues range from the limited in the Testing and Subsea division, which is in Operation Division, the lack of knowledge sharing processes within and between teams, the lack of proper knowledge transfer, difficulty in accessing knowledge and information due to manual access, and others. Through the utilization of APO KM Framework and SECI frameworks, the author was able to design a knowledge management system by formulating several tools, for example, Coaching, Training, Knowledge café, Lesson-learned documents, K-based exit interview, and e-learning. With a total of 12 (thirteen) knowledge management tools or techniques, the company now has the ability to identify the knowledge needed, capture the knowledge, store the knowledge, share the knowledge, and effectively utilize knowledge and information which can improve the organization’s performance, enhance decision-making processes, and foster innovation and collaboration, thereby gaining a competitive advantage in the lifting equipment industry which ultimately contributes greatly to the growth of the company. For the knowledge management system implementation process, it will be divided into 5 (five) stages: Preparation, Identification, Development, Implementation and Evaluation to ensure that the knowledge management system is implemented effectively, its impact can be measured, and areas for improvement can be identified to make necessary changes. Implementation will begin in January of 2024, and there will be a dedicated Person In Charge (PIC) for all knowledge management initiatives to monitor the progress and ensure the sustainability of this system.

Process Business And External Environment In Mattering Service Quality: The Moderator of Knowledge Management

This quantitative study investigates the connections between knowledge management, business processes, and service quality. The study examines how corporate procedures directly affect service quality and how the outside environment affects it. It also looks into how knowledge management affects business processes and customer service quality. A sample of the medical industry in Tangerang City, Indonesia, received surveys, and 12 complete replies were examined. The results show that while the external environment significantly affects service quality, business practices do not directly influence it. The relationship between business processes and service quality is moderated by knowledge management, underscoring the significance of efficiently utilising organisational knowledge resources. These results point to the necessity of a comprehensive service quality improvement strategy that considers outside variables and employs efficient knowledge management techniques. Future research should overcome drawbacks like sample biases and explore these correlations using a variety of approaches and larger samples.

Knowledge management in small and medium enterprises: a systematic literature review, bibliometric analysis, and research agenda

PurposeKnowledge management effects on business performances are of great importance for companies. Yet, they are still overlooked by current literature. Moreover, the use of methods for bibliometric reviews and content analysis reinforces the need for relevant work on the current state of knowledge management application. To this end, this study aims to identify the main barriers for the application of knowledge management in small and medium-sized enterprises. A research agenda is then proposed.Design/methodology/approachA systematic literature review was performed using data collection, bibliometric analysis and content analysis' steps. The sample used in this study contained 45 papers. For the bibliometric analysis, the authors used the bibliometrix (in RStudio). The content analysis was then performed to infer barriers, factors of relevance and an agenda of questions for future research.FindingsThe authors found that using knowledge management techniques to optimize business performance results in competitive advantages for small and medium-sized companies. This study contributes to both practitioners and academics by providing a list of 19 barriers, 12 factors and 36 research questions related to knowledge management in small and medium-sized companies to develop future theoretical and practical studies.Originality/valueThis study demonstrates the propensity and interest of small and medium-sized companies in using knowledge management. However, some barriers might make it difficult to implement this approach.

A Proposed Knowledge Management System to Improve the Business Growth At PT. Multi Guna Equipment

The construction equipment industry in Indonesia, in which the lifting equipment is a part of, is showing promising growth with an estimated value of 4.5 billion US dollars in 2028, growing at a compound annual growth rate (CAGR) of 6.79% during the period of 2021-2028. PT. Multi Guna Equipment (PT. MGE) is one of the authorized distributors of lifting equipment specializing in reach stackers and harbour mobile cranes from Konecranes – a company based in Finland. In recent years, PT. MGE has experienced stagnant business growth, despite the enormous potential demand for lifting equipment in Indonesia due to the numerous construction projects that are a priority for the Government. The obstacles that contribute to the stagnant business growth of PT. MGE are related to the absence of a system to manage knowledge in the company. In light of these circumstances, the company needs a structured and effective system for managing knowledge, which is through the implementation of a Knowledge Management (KM) system. In doing this, the research is based on two research questions. The first is how can a knowledge management system be proposed to improve the business growth of PT. MGE, and the second is what is the implementation plan for the proposed knowledge management system. These two research questions will be answered using theories related to knowledge, knowledge management, and two knowledge management frameworks, namely People, Process, Technology (PPT) and Socialization, Externalization, Combination, Internalization (SECI). Because a qualitative method is used in this research, data is collected through interviews and observations, which are then analyzed using thematic analysis. The results of data collection show that there are several issues related to the PPT and SECI frameworks. These issues range from the limited sales knowledge and sales skills possessed by salespeople, the lack of knowledge sharing processes within and between teams, the lack of proper knowledge transfer, difficulty in accessing knowledge and information due to manual access, and others. Through the utilization of PPT and SECI frameworks, the author was able to design a knowledge management system by formulating several tools, for example, Coaching, Training, Knowledge café, Lesson-learned documents, K-based exit interview, repository, and e-learning. With a total of 13 (thirteen) knowledge management tools or techniques, the company now has the ability to identify the knowledge needed, capture the knowledge, store the knowledge, share the knowledge, and effectively utilize knowledge and information which can improve the organization’s performance, enhance decision-making processes, and foster innovation and collaboration, thereby gaining a competitive advantage in the lifting equipment industry which ultimately contributes greatly to the growth of the company. For the knowledge management system implementation process, it will be divided into 4 (four) stages: Pre-Adaptation, Adaptation, Implementation, and Evaluation to ensure that the knowledge management system is implemented effectively, its impact can be measured, and areas for improvement can be identified to make necessary changes. Implementation will begin on the second half of 2023, to be specific in August 2023, and there will be a dedicated Person In Charge (PIC) for all knowledge management initiatives to monitor the progress and ensure the sustainability of this system.

Child maltreatment and pediatric pain: A survey of healthcare professionals' pain knowledge and pain management techniques.

Children who have been maltreated are at an increased risk of having their pain under-recognized and undertreated by healthcare professionals, and thus, are more susceptible to adverse outcomes associated with undertreated pain. This study's aims were to examine: (1) if healthcare professionals' pediatric pain knowledge is associated with their pain assessment methods, (2) if maltreatment-specific pain knowledge is associated with consideration of child maltreatment when deciding on a pain management strategy, and (3) if pediatric pain knowledge would relate to maltreatment-specific pain knowledge. A sample (N = 108) of healthcare professionals responded to a survey designed to examine their current knowledge and utilization of pediatric pain assessment and management with emphasis on the effects of child maltreatment. Findings revealed healthcare professionals' knowledge of pediatric pain is independent of their pain assessment and management practices. However, general pain knowledge was associated with maltreatment-specific pain knowledge and generally, healthcare professionals were knowledgeable of child maltreatment's impact on pediatric pain. Participants who considered a history of maltreatment were also more likely to employ sensitive questioning strategies when asking children about their pain.

The case for integrating and leveraging knowledge management and ELearning for effective online education

The rapidly growing use of technology in education is changing the way knowledge is produced, stored, and distributed to students locally and globally. Today, learning is no longer solely deployed in a physical classroom due to the increased rate of student’s enrollment in online education for various reasons. The nation's educational system greatly benefits from internet-enabled distance learning, also known as online education, by liberating students from the usual available options of on-campus degree programs such as commuting to school, preparing their day for courses, and being physically present during each cycle of their coursework. The necessity of Knowledge Management (KM) to facilitate online learning has received higher attention within the educational arena in the last years. Knowledge management of organizations will determine the processes that the knowledge will be retained, exchanged, and enriched over years. Additionally, knowledge management has been defined as the process that enables the organization to create, store, transform and exchange knowledge within the organization. Universities face challenges in creating and exchanging knowledge, these challenges resulted from the lack of KM strategies to organize KM in all directions. As per various educational theories universities should adopt knowledge-based theory to improve competitiveness and improve performance. The theory is based on discovering knowledge, its acquisition, creation and dissemination and transmission of this knowledge through teaching. Moreover, retention rates at higher education institutions remain a focus in this present pandemic era and data from the United States (U.S.) Department of Education (2021) revealed an overall drop for full-time students in 2020, from 76.1 percent in 2019 to 75.7 percent. For part-time students, there was an even more significant drop, from 46.5 percent in 2019 to 43.5 percent in 2020. For educational institutions, it is imperative to understand the causes of lower retention, and the way higher education institutions could overcome this challenge. One method that is being pursued by higher institutions is online education, as a note online education is now accepted as the “wave” of the future, knowledge is being distributed across both space and time. Knowledge management techniques are also used to capture, organize and deliver this knowledge, and management systems can be used to quickly identify the most relevant information and distribute it to meet specific needs. The art of adding knowledge management and E-Learning together is a form of technological advancement.

Alignment between United Nations Environmental Assembly Guidance and National Research Priorities

This study analyzes the alignment between (1) the scientific publications generated within a nation-state, and (2) the United Nations resolutions on climate change research and sustainable development guidelines to which that nation-state is a signatory. Starting with a characterization of Chile’s modern scientific journal output using extensive scientometrics databases, this work contrasts the resulting Chilean analysis with United Nations (UN) resolutions generated at the fifth UN Environment Assembly held in Nairobi in March of 2022. Chile is an interesting choice because the most recent political election installed an environmentally progressive president who has described his administration as the “first ecological government in the history of Chile”. Chile also held a constitutional referendum shortly after the presidential election that would have replaced the existing constitution from 1980 with a more progressive constitution designed to shift the country towards expanded social and environmental rights. The study covers different dimensions and scales, from the interaction of authors, institutions, and disciplines, to the current conditions regarding authors’ gender and the co-author inertia existing in every niche of scientific publication in Chile. The results and recommendations presented in this paper are intended to assist in developing policies for improved scientific–technical knowledge management at the national level.

Future-proofing ecological knowledge management practices in the workplace: Lessons from the pandemic

The COVID-19 pandemic compelled businesses to adopt effective ecological knowledge management strategies to navigate the ensuing difficulties brought about by changing work setups and mobility restrictions. This study employs a grounded theory approach to explore the emergence of such strategies and their impact on overcoming institutional obstacles in knowledge management. Twenty-two managers with at least five years of eco-managerial experience were interviewed, resulting in the identification of critical practices. These included virtual collaborative tools, electronic knowledge databases, agile knowledge management techniques, communities of practice, training and skill development programs, hybrid working patterns, strategies for knowledge transition and succession, and programs that promote mental health and work-life balance. By adopting virtual collaboration tools and electronic knowledge databases, access to and dissemination of information are expedited and secured, fostering teamwork and institutional success. Agile ecological knowledge management techniques enable businesses to pivot quickly, fortifying their resilience and adaptability during unpredictable periods. The endorsement of ecological and human well-being and work-life balance initiatives increases employee morale and psychological well-being. Knowledge-sharing strategies, such as the formulation of communities of practice, foster professional development and teamwork. Training and ecological upskilling programs equip employees with essential competencies, whereas the hybrid work setup offers adaptability and compensates for fewer interpersonal interactions. Businesses must prioritize these ecological knowledge management strategies to enhance their organizational resilience.