The current study investigated the influence of information technology support on knowledge management process of nurses in patient care. Recent concerns about the issue of nursing care delivery have accentuated the need for more improved health services. The importance of knowledge management in improving performance has been strongly highlighted in existing literature. Paucity of studies exist in information technology-based knowledge management of nurses in Nigeria. A quantitative approach comprising of a descriptive survey design was used. Proportionate stratified sampling was used to select registered nurses from the teaching hospitals under study. Only registered nurses on duty were included in the study and sample size consisted of 320 registered nurses. SPSS version 22 and AMOS was used analyze the collected data. The structural models were developed to test the hypothesized relationships. The researchers adhered to the principles of trustworthiness and ethical principles. The results affirmed that information technology support influences knowledge management process in nursing care roles. Based on the findings, information technology is required to promote knowledge management process coupled with appropriate coordination to develop a knowledge-friendly environment for nurses. In view of the emergence of the knowledge-based society and increased demands for quality healthcare by patients, the usage of …

Cyber addiction refers to the excessive use of internet and cyber application leading to adverse outcomes such as stress, distractions, reduced motivation levels, and challenges in task orientation. Uncontrolled consumption of the internet leads to information overload that impact productivity and workplace performance (Griffiths, 2010). In such cases, the ubiquitous availability of information can lead to IT-related stress where users derive a reduced sense of satisfaction (Diomidous et al. 2016). People who frequently access the internet can experience various issues, which encompass anxiety, depression, and self-image challenges. Physically, affected individuals experience disrupted sleep patterns, irritability and high levels of fatigue. Social networking sites increase the risk of addiction and online dependency, aspects associated with low levels of productivity (Hoq, 2014). As illustrated in fig 1, the paper hypothesizes that there is a direct relationship between information overload and workplace performance and job satisfaction. The assumption is that cyber addiction worsens the problem of information overload, which in return, impacts information behavior and use and workplace/job performance (Riaz & Qureshi, 2019). The study addresses the following research questions: What is the impact of cyber addiction on workplace performance? What are the relationships between cyber addiction, information workload and information behavior and …

The goal of this study is to explore how information is currently organized in digital cultural heritage collections in Arabian Gulf countries. it focused on Alqabas – a Kuwaiti institution with a strong reputation of early adopter of digital archiving and developer of major digital collections in Arab Gulf counties, accumulated experience in knowledge management. The mixed-methods study combined semi-structured interview of the Alqabas archive manager and in-depth content analysis of a sample of metadata records that represent items in Alqabas digital collections for accuracy, completeness, consistency, use of knowledge organization systems. The study reveals high metadata quality overall but lack of consistency for many metadata fields, explained in part by the absence of metadata creation guidelines and professional training for metadata creators. This indicates potential barriers to metadata interoperability in an aggregated environment for future projects similar to DPLA or Europeana.

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.

Disinformation and misinformation are pervasive in unregulated social-media environments, which are used habitually for obtaining news. Fenn et al in 2019 stated that “Given that people tend to share interesting information to maintain social relationships or to manage their impressions, information that receives more likes may subsequently be shared more often” (Fenn, Ramsay, Kantner, Pezdek, & Abed, 2019, p.133) Recent studies also revealed that misinformation from politicians and celebrities has increased in recent years which lead to more engagement on Twitter (Brennen, et al. 2020 ). There has been a lot of misinformation pertaining to COVID-19 masks on Twitter. Due to the misinformation, many people might not believe in the effectiveness of masks. Even though studies have shown the effectiveness of wearing masks in different countries (Lyu and Wehby, 2020). Not wearing masks affects people's health and indirectly increases the spread of COVID-19. Studies of social noise and misinformation cases on social media are needed, specifically focusing on how social noise influences and contributes to the spread of misleading and possibly harmful messages.

It is understood that Social Innovation (SI) is at the service of society, building a positive social value. Collaborative governance favors the government, with characteristics for a better form of applicability of its theories. Therefore, this article aims to identify how collaborative governance and social innovation collaborate for better governance in the public sector.

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.

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 …

The digital age comes with transformational activities (also referred to as digital transformation) triggered by emerging fields and technologies, such as data science and analytics, cybersecurity, cloud computing, blockchain, cryptocurrency, and nanotechnology; helping organizations stay current and competitive. This paper focuses on agile frameworks that support the delivery of data science/analytics projects to ensure organizations rapidly deliver analytics products and services to their customers.

Organizations struggle to harness tacit knowledge – the knowledge that resides in the heads of knowledge workers, whereas there are always opportunities to capture knowledge during project management activities. Using a literature review, this paper analyzes how knowledge can be captured during different project management phases. It attempts to bridge frequently ignored areas of project management, knowledge management, and analytics.

Twitter is one of the major social media platforms highlighting public opinion. With over 330 million users across the globe, Twitter provides insights into global sentiments on many topics. One can estimate global sentiments towards certain events relating to COVID-19 by analyzing the most common phrases and their related sentiment scores from Twitter API data. This project has compiled the most used trigrams in tweets relating to COVID-19 to calculate sentiment scores for the period from March 22 to August 7, 2020. Another goal of the project is to optimize data collection from Twitter API. Twitter limits access to tweet contents to 900 requests per 15 minutes for unpaid API users. For student data scientists, paying for increased API usage is financially infeasible. So, to deal with the rate limit, the project has written functions using the Tweepy python library to collect Twitter API data. The Pandas library has also been used to sample 139000 tweets from over 300 million. The IEEE Dataset provided sentiment scores for the full population. So, to check the integrity of my sample, I performed a Pearson correlation test between the full dataset and sample data, and got 0.84, showing the sample is representative of …

Identifying support from Knowledge Management (KM) frameworks and Risk Management to build collective intelligence for handling systemic crises, triggered by the Corona virus disease 2019 (Covid-19)

The research seeks to know if the COVID-19 pandemic has created culture change by measuring the criteria of work outputs and actions of organization members. As a part of this research, a survey was developed to identify how and to what extent workplace culture has been impacted. 111 professional services staff from a North Texas business were surveyed. We identified three factors for criteria of work outputs and behavior that indicates the current level of change of the culture. The three factors are identified as, Expectations (α= 0.786), Accuracy (α= 0.603), and Timeliness (α= 0.552). Factor analysis and descriptive statistics are used to analyze the result from the survey.

This paper aims to compile organizational innovation management indicators of papers that included some empirical step in the research and were published in the last 5 years (2015-2019). Based on PRISMA protocol, a systematic review was conducted and 356 indicators were extracted. They were categorized in 11 dimensions, following Dziallas & Blind (2019) previous literature research. The results make it possible to update the studies of innovation indicators at the organizational-level, filling an existing time gap in the research field. As for future research, we recommend the unification of similar indicators, the establishment of objective criteria for indicators categorization, and the development of an innovation indicator framework containing relevant indicators based on scholars’ and practitioners’ opinions, their description and measurement/evaluation methods.

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.

Knowledge is the central component of knowledge management (KM); it comes into existence, is managed, and has effects through the activities performed upon it and the results of those activities. Much of the foundational KM literature identifies and classifies these activities (Baskerville, Dulipovici, 2006; Becerra-Fernandez, 2005; Evans, Ali, 2013; Evans, Dalkir, Bidian, 2014; Girard, Girard, 2015; Pee, Kankanhalli, 2009; Mohajan, 2016; Sajeva, 2010). We propose an extension of these activity classifications.

This pilot study extends nursing’s historical efforts to prevent medication errors by using a database research approach to better understand why medication errors persist in acute care settings. The pilot study was conducted 3 units and float pool nurses. Data were analyzed using descriptive statistics and multilevel regression modeling.

The dynamics proposed by the information and communication technologies enter economic sectors and require new behaviors. Digital Agriculture is a way to adapt to the new scenario. However, the modernization movement requires that views on agricultural industries be compensated.

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.

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.

Blended learning (BL) assimilates the best digital high-tech learning and traditional methods that involve students in network learning transcending physical boundaries. It has been embraced as a possibility so that knowledge can be distributed through time and space. KM-based approaches may be used to collect, coordinate, and transmit intelligence to control processes that can be utilized efficiently to recognize and share the most important details to address customer needs. This study aims to explain how to apply KM techniques in the BL environment to increase educational excellence and quality during pandemic situations. The specific consequences of BL actions are also stated in this paper. The quantitative approach was used in this study by using an electronic questionnaire from the students of the department of ISLM of the University of Dhaka, Bangladesh. Among the 272 students in the undergraduate program, 74 students replied to the online survey questionnaire. The gathered data were analyzed using SPSS version 20. The Findings of the study showed that KM can be used with BL during the COVID-19 pandemic, including integrated tasks, classroom instruction, online and e-learning. Finally, the study also proposed an intuitive model for applying BL through KM.

Successful organizations are continuously looking for better ways to improve efficiency. Knowledge management (KM) in institutions is essentially based on an understanding of knowledge creation and knowledge transfer. At Tarrant County College, we are currently developing a District-wide knowledge management (KM) program. This KM process is implemented via micro pilot projects and processes; and an analysis of current technology, structure, and culture. We carefully try to anticipate challenges we will encounter as the project is executed (geographical distance during a pandemic, cultural barriers, dealing with tacit knowledge…). Next, we carefully begin to create a road map for the KM process including: Establishing objectives, preparing culture change, creating a high-level process, identifying KM/communication/knowledge dissemination gaps, selecting appropriate technology, and deciphering the current status of KM throughout the District. Then, we attempt to implement our KM process via micro pilot projects. We will soon develop methods for evaluating our KM workflow. Our initial results suggest Laserfiche might be able to host 70% of or data and information, however other tools such as ITSM, Microsoft TEAMS, Team Dynamics… will also be needed to host data and information.

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 …

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 …