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).

The new coronavirus COVID-19 pandemic forced the population to adapt routines, create new habits and adapt to the new reality. A significant change resulting from social isolation was the way that consumers began to seek the provision of services and purchase of products. What was previously done predominantly in physical stores, started to be carried out by digital channels, according to the customers' preference. Because it provides essential services, Companhia Águas de Joinville (CAJ) also needed to adapt, creating conditions for digital service for 100% of customer demands. However, the simple availability does not mean immediate adhesion by the population, as customers have their preferences. This article intends to demonstrate how the migration of face-to-face service to other channels in Basic Sanitation behaved in Joinville and what the consumer preferred during the quarantine.

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.

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.

Corporate universities make up a strategic umbrella for developing the organizational ecosystem with a high impact on business goals. A mature organization in educational activities necessarily creates lasting and sustainable mechanisms for human and organizational development. Thus, we sought to identify the maturity level of a corporate education system and the necessary actions for its evolution based on the Kraemer model (2018).

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.

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.

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.

Emerged in the early 1990’s, governance is a construct which enables to broaden the management focus to a more comprehensive view, assessing efficiency capacity from different perspectives, such as social and political. Among its applications, Corporate Governance is the most known. In the private sector, governance has become a mandatory practice for companies aiming at increasing their market value or maintaining it high, due to the credibility earned by companies with good governance practices. In the public sector governance is a major challenge, once it concerns itself with generating value for society, in addition to the need for transparency and credibility in the management of public affairs. In this context, the objective of this article is to identify the differences and similarities between Corporate Governance in Private Companies and Public Administration.

The pandemic of the COVID-19 (coronavirus) has presented us a new world-wide reality. In a short time, huge changes had been necessary. In the sanitation it has not been different. For handle with essential services, in the majority through public concessions, the rendering of services has been strongly influenced for the chaotic economic situation, the necessity of cares with the health of the employees and for governmental decisions that restrict some activities. Thus, risk management becomes an increasingly urgent need, as the impacts of wrong decisions can lead to huge losses. Starting from the hypothesis that the better risk management within organizations, the better the decision-making process will be, this article aims to present the importance of risk management for mitigation and contingency in the face of the impacts caused by the pandemic of COVID-19.

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.

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 …

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 …

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 …

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 …

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.

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.