The ever-increasing market turbulence has turned today’s corporate landscape more competitive and complex. Particularly during the last two decades, the increased utilization of ICT systems and technologies globally transformed the services sector in terms of ease of business processes and improved client service delivery. However, in the current knowledge-based era, ICT-enabled systems and tools would only be meaningful if these are appropriately utilized by the knowledgeable and skilled workforce. However, leveraging these necessitates a knowledge-enabled work culture and recognizing that people are crucial to building a robust Intellectual Capital (IC) that is central to achieving long-term market competitiveness. IC comprising of intangible assets and knowledge resources is central to value creation for the firm as evident from the growth of the knowledge-based industries. Nevertheless, the true potential of IC for deriving value advantage for diverse organizational stakeholders has not been fully utilized. Hence, by conducting 12 face2face interviews with the senior executives within Australian Professional Service Firms (PSFs), this study offers renewed approach to IC valuation by introducing ‘Triple Value Bottom-line’ perspective in PSFs. The results highlight that the IC offers enormous potential towards deriving broader value outcomes for multiple organizational stakeholders.

This study aims to understand how individuals communicated and acknowledged to COVID-19 pandemic on Twitter. It mainly focused on identifying and demonstrating the differences in the perspective of United States and Canadian residents.

Knowledge Management Best Practices are established through leveraged Data Science Technique based on results found on published articles of reputed literature and both advertisements and news items of newspapers. Further, the recognition showed threats to the values of Higher Education such as the quality of courses. As such, a Postgraduate study is conducted to reveal a solution to those kinds of issues in Higher Education. Consequently, based on the proposal of literature to such issues in other contexts, existences of Knowledge Management Practices are revealed in the qualitative paradigm. Meanwhile, the present study questioned whether the confirmed Practices of the Postgraduate study are Best Practices of Higher Educational Institutes. Besides, the Oxford dictionary specifies that practice becomes Best Practice if “commercial or professional procedures that are accepted or prescribed as being correct or most effective”. Accordingly, confirmed practices of Higher Educational Institutes became Best Practices due to the practices that are accepted by the industry of the Postgraduate research through a qualitative paradigm and by the other industries of researches that those reputed publications concerned into the Postgraduate study. Besides, Knowledge Management is an emerging/ emerged era. As such, present research proposes resulting practices of the Postgraduate study as Based …

The purpose of this research is to explore concept maps as a viable and effective knowledge management tool for cybersecurity education. Concept maps serve as a visual representation of knowledge. They are commonly utilized to support the teaching and learning process or as a student learning evaluation tool. While the focus of education research is on tools specific to cybersecurity such as learning management systems and cyber ranges, there is little dedicated to understanding how concept maps can be applied as an effective element within the security education. This paper reviews relevant research related to the applications of concept maps in diverse knowledge domains. The aim is to leverage previous research applications to garner support for concept maps as a useful knowledge management tool in cybersecurity. This is accomplished by highlighting successful applications of concept maps in related fields. Concept maps are poised to be extremely helpful with complex subjects such as information and cyber security where understanding the subject depends on the application of disparate but interrelated concepts.

In order to perform research data triangulation, there were three main sources of data: 1. External/Internal Survey of 15 Library Directors (5 in the Navy; 10 from Government/Universities), 2. Literature Review/Industry Best Practices, and 3. Navy Lab Interviews (Ten) . The results include "Harvest” the personal collections of classified and other materials (reach out to the end users to put documents in library repository); Need to modernize our workflow; Having research material that can be easily accessed for desktops; Need to share information and knowledge; Focus on the needs of your community and evolve with those needs.

Teen birth (TB) imposes serious health and economic burdens to both individuals and government. Various attempts have been made to overcome TB such as teen pregnancy prevention evidence-based programs. However, these programs might have declined teen birth rate (TBR), most of which do not address the influencing socio-economic factors linked to areas where teenagers live. This study is aimed at investigating socio-economic factors contributing to TB and identify their geographical disparities. The methodology was developed using the vulnerability theory to examine the complex relationship between TB and socio-economic factors. Principal Component Analysis (PCA) and Geographically Weighted Regression (GWR) were employed to analyze census data. Findings suggest that socio-economically disadvantaged minorities, including unemployed black and uneducated Hispanic, are more vulnerable to TB. Additionally, geographic locations of communities where such teenager live are recognized. The outcomes verified the utility of the vulnerability theory to predict the geographical locations of vulnerable teens that can be leveraged by policymakers to allocate more health resources and perform place-specific interventions to effectively reduce TBR.

This paper describes an on-going research project examining currently used processes in both hospitals and EHR vendor companies for identifying, prioritizing, and mitigating electronic health record (EHR) software issues, and usability issues, that may compromise patient safety as they arise in the implemented or legacy EHR system. This on-going project includes 3 interviews with CMIOs at hospitals and 3 interviews with EHR vendors. Next steps include surveying both groups. The project can be considered as part of a learning health system (LHS) approach in that it seeks to identify best practices in terms of the process for addressing these EHR issues. The LHS approach seeks to improve long term outcomes in health care by identifying optimal delivery processes and to do so in a systematic, rather than a haphazard way. (Friedman & Rigby, 2013).

Knowledge is awareness or familiarity gained by experiences of facts, data, and situations. Knowledge management includes techniques and processes to represent, store, search, integrate, and analyze knowledge that is available in digital form. Ontology is a formal explicit specification of a shared conceptualization of a domain of interest and it is a building block of the semantic web and formal description of knowledge. Ontologies capture the structure and knowledge about some domain of interest by describing the concepts in the domain and also the relationships that hold between those concepts. Even though Ethiopia has potential tourist destinations, the country is not benefited from its resources due to misperception about image of the country; lack of promoting the potential tourism resources of the country to the world; problems with sharing, searching and retrieval of tourist information. Thus, the country is forced to accept smaller number of tourists and not getting the benefits it deserves. The objective of this paper is to build ontology for Ethiopian Tourism so that it makes Ethiopian tourism destinations visible to international visitors. We use OWL language implemented in Protégé with other ontology development activities proposed in METHONTOLOGY to build Ethiopian tourism ontology. We also use OWL …

The Soft Skills theme has been presented and discussed by several academic and professional players: researchers, consultants, entrepreneurs and technicians in Human Resources. These are personal skills that go beyond technical competence, absolutely determining the performance of any organization. Understanding what they will be and how to develop these skills has been the challenge of the World Economic Forum (WEF), which periodically publishes reports mapping areas, professions and skills that will be trending in the coming years. So, this article seeks to answer which skills are requested in advertisements and job vacancies in the area of ​​ICT in the region of Florianópolis? with a double objective: [i] Identify whether companies in the creative economy segment, specifically technology, in the city of Florianópolis / SC are looking for soft skills in their job advertisements; and in this way [ii] Understand whether they are aligned with the trends presented by the WEF. For this, it carried out a qualitative research, classified as descriptive with an exploratory stage of analysis of the vacancies published in the LinkedIn and ACATE platforms, making it possible to conclude the importance of soft skills for the profile of technology professionals. It was also evident the difficulty in …

Arising in China in December 2019, the novel coronavirus (COVID-19) soon spread to other countries worldwide including Bangladesh. Mass media and social media platforms played an important role in providing Coronavirus related information and news as they enable people to share news as well as personal experiences with one another rapidly. Since little is known about COVID-19, various fake news spread across social media that panicked people into making panic decisions. The primary objective of this study is to examine how social media is spreading fake or unauthentic news during the time of COVID-19 pandemic. This study also focuses on how the university students of Bangladesh are playing their roles in the spread of fake news in social media. An online survey was conducted to reach a wide number of university students who own at least one social media account. A well-structured questionnaire was designed containing both open and close ended questions. Google forms was used to build the survey instrument. The questionnaire was distributed to the students using different social media platforms. Collected data were analyzed using SPSS version 20 and MS Excel. The study showed that the students sometimes received COVID-19 related fake news. The main reason behind …

Despite continued improvements to HIV/AIDS treatment and awareness, HIV transmission rates remain high among men who have sex with men (MSM). Online consumer health information targeting high risk MSM through social media and geosocial networking (GSN) apps have shown to be successful HIV intervention strategies. This review article addresses (1) the efficacy and acceptance of delivering consumer health information about pre-exposure prophylaxis (PrEP) and HIV prevention through GSN apps, (2) the impact of online and social media communities in the discussion and delivery of information about PrEP and HIV interventions, and (3) on-going and possible future research and the role of information professionals.

This paper will report on a research to develop Speaker Independent, Continuous Speech Recognizer for Kafi Noonoo (Afro-Asiatic language that belongs to North Omotic sub family in Ethiopia) using Hidden Markov Modeling technique. The portable and open source toolkit called Hidden Markov Model (HMM) Toolkit is used to perform the experiment. The development of HMM based Automatic Speech Recognition (ASR) requires both text and speech corpus for training and testing the HMM. In order to have a model that incorporates different features of the language, we included the different dialects of Kafi Noonoo in the corpus and then prepared the training and test corpus from the scratch, and after preprocessing we have sampled and performed feature extraction using Mel Frequency Cepstral Coefficients (MFCC) feature extraction technique.

Stakeholder-centered knowledge elicitation and acquisition for study counseling and informed decision making on the selection of study programs and study locations.

This study considers Communities of Practice as a group of library and information science professionals who share their common interests and problems on a topic in order to exchange their expertise and knowledge on that topic. The study sheds lights on the ways of knowledge sharing, and assess the reasons of knowledge sharing of LIS professionals through Communities of Practice in the context of university libraries in Bangladesh.

The unquestionable demand for data generation and consumption in organizations in this century prompt an increasingly notion of data as a valuable asset, provoking the urgency for reliable analysis and reporting of complex data assets towards a critical business decision making process. Computing languages like SQL, Sequential Query Language, Data Mining and Warehouse, and data visualization tools are some examples of how information technology is being applied to the problem solving strategy related to data governance and management. The objective of this article is to provide an overall framework for effective data governance, through the examination of the hierarchy data-wisdom, that can be applied to business processes improvement and business intelligence approaches. Its purpose is to present roadmaps that will lead to superior management decisions impacting the pipeline and the relationship between leaders, staffs, stakeholders, and the corporate governance in terms of data processing and consumption. This literature review work presents the argument that effective use of information technologies, the consolidation of a learning culture, and the fostering of a technological framework that is insightful and enabler of a responsible and steward data management process have decisive impact in the business processes operations and strategies in which leadership plays a …

With advances in natural language processing (NLP), machine learning (ML) and artificial intelligence (AI), there are new opportunities for improving findability among existing public-facing resources. This project seeks to inform findability, especially for multiple chronic condition (MCC) resources, by describing current search capabilities and limitations across several of AHRQ’s publicly available domains and by identifying and piloting a novel NLP/ML approach to make suggested improvements. This work intentionally engages with the overlap of numerous disciplines including information extraction, information retrieval, data and text mining, knowledge management, and best practices in health care. We are looking to apply this work across all domains but will start by focusing on specific AHRQ domains. Given limited API access, we scraped the content of digital.ahrq.gov and the patient centered medical home (PCMH) resources and performed automated search using a set of related terms that align with an MCC scenario: hypertension, osteoarthritis, and chronic kidney disease. We obtained results confirming the limitations of existing search.

Wisdom is defined as “a uniquely human quality demonstrated through an ability to apply self-insight, experience, and sound judgment in conjunction with applicable data, information, and knowledge to create a course of action leading to beneficial and productive decisions for both individuals and society” (Allen et al., 2020, p. 159). Using this definition as a foundation, this research explores how veterans use wisdom to enhance the workforce through perspective, experience, and resilience.

Recent years have seen the development of quite a few measures of wisdom (e.g. Ardelt (2003); Glück (2017); Staudinger and Pasupathi (2003); Sternberg (1998); Webster (2003)). With a focus on information professionals working in the GLAM (Galleries, Libraries, Archives, and Museums) sector, this study is unique in the way it translated the quantitative measures used in previous study into a qualitative instrument that can allow wisdom aspects to be explored through interviews. Thus the purpose of this research was to investigate the key characteristics of wisdom for professionals working in the GLAM sector.