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

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.

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.

Automotive industries in the developed world have strived to improve performance and productivity by incorporating Knowledge Management (KM) practices in their manufacturing processes. This has been attributed to the use of upgraded technological capabilities in the acquisition, sharing, and retention of organizational knowledge. Literature has unpacked that as much as automotive industries need Information Communication Technologies (ICTs) in their KM strategy, they should also include aspects of Artificial Intelligence (AI) to facilitate and share knowledge (Wisskirchen et al., 2017; Calitz, Poisat & Cullen, 2017; Cronin, Conway & Walsh, 2019). More so, they recognised the limitations of ICTs concerning the management of tacit knowledge, which is intangible and difficult to share, as it plays a crucial role in the KM process. Despite the interest of many authors towards KM in automotive industries, there is a lack of studies aimed at investigating AI as a KM enabler in the South African automotive industry. This is a relevant issue as knowledge in the automotive industries tends to manifest itself tacitly. This realization has spawned a growing interest in incorporating advanced technologies like artificial intelligence into KM practices to overcome knowledge loss and bringing in innovation in automotive industries. It is against this backdrop; …

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 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 …

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.

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)

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 …

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.

The Customer Development process, widely used by startups, is designed with the aim that, at the end of a process of development of an innovation, the customer can see the maximum value in the product. But there are few studies on the application of this methodology in mature companies. The aim of this study was to assess whether it is indeed possible to apply the Customer Development process in a mature firm. This case study was built from a semi-structured interview with the Innovation manager and a UX Designer at that institution. It was possible to verify from the analysis of the interview that the company is able to apply only part of the Customer Development process in its new product innovation process. This paper is a case study and applied research, so it is not possible to make generalizations. In addition, this article considered interviews with only two individuals from the company, which may have limited results.

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.

While explicit knowledge can be to some extent separated from human brain and stored in organizational memory, tacit knowledge cannot be detached from the individuals who possess it, therefore its management cannot rely primarily on technologies. This calls for knowledge-worker centered approach. Individuals with different cognitive styles process information differently and use a variety of reasoning patterns for decision making and building their personal knowledge bases. The paper overviews the potential applications of the construct of cognitive style to managerial practice in knowledge intensive organizations. It also presents a model that can help visualize the relationships between different cognitive styles and knowledge management processes. The model also demonstrates how such cognitive dimensions manifest themselves at different stages of KM cycle.

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.