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The article puts forward a hypothesis about the difference between digitalization and management based on big data (hereinafter referred to as BD);it is assumed that these are stages of the same process. The transition from digitalization to BD-driven decisions is perceived as a kind of «leap» in public administration. Authors set the research task of identifying the key differences between these stages, as well as determining the reasons for the transition from one to the other. To do this, we carry out an analysis of the implementation of BD-driven solutions in public administration during the COVID-19 period, with a focus on the regional level. The analysis is based on the multiple streams theory. The case-study method was used to compare the selected regions. At this stage of the study, a gap in the development of the digital infrastructure in the Russian regions was revealed – a situation where only rich regions can carry out their original solutions, having the opportunity to invest in advance in the development of digital infrastructure, training and original management solutions. As a result of the conducted research, the absence of original digital solutions in the regions was noted. An alternative to using a BD-driven policy is simple digitalization, by which we mean either imitation solutions or blind copying of technological solutions offered by the federal center. In order to switch to BD-driven management, regional administrations need to accumulate expertise, experience in implementing successful digital projects, and make investments in the development of technological infrastructure and training. © HSE, 2022.
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The article puts forward a hypothesis about the difference between digitalization and management based on big data (hereinafter referred to as BD);it is assumed that these are stages of the same process. The transition from digitalization to BD-driven decisions is perceived as a kind of << leap >> in public administration. Authors set the research task of identifying the key differences between these stages, as well as determining the reasons for the transition from one to the other. To do this, we carry out an analysis of the implementation of BD-driven solutions in public administration during the COVID-19 period, with a focus on the regional level. The analysis is based on the multiple streams theory. The case-study method was used to compare the selected regions. At this stage of the study, a gap in the development of the digital infrastructure in the Russian regions was revealed - a situation where only rich regions can carry out their original solutions, having the opportunity to invest in advance in the development of digital infrastructure, training and original management solutions. As a result of the conducted research, the absence of original digital solutions in the regions was noted. An alternative to using a BD-driven policy is simple digitalization, by which we mean either imitation solutions or blind copying of technological solutions offered by the federal center. In order to switch to BD-driven management, regional administrations need to accumulate expertise, experience in implementing successful digital projects, and make investments in the development of technological infrastructure and training.
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PurposeThe research examined Scottish public libraries and the libraries' response to the coronavirus disease 2019 (COVID-19) pandemic of 2020–2021. The research focussed particularly around the way that the libraries helped to support community resilience and cohesion during periods of lockdown. The study considered issues around the closure of services in March 2020, digital services, the loss of physical library spaces and governance models. The research presents the voice of service managers rather than being a user study. The research was funded by the Arts and Humanities Research Council (AHRC), part of UKRI (United Kingdom Research and Innovation), as a part of the council's scheme to provide response to the pandemic of 2020.Design/methodology/approachThis was an exploratory study examining how Scottish public library services responded to the COVID-19 lockdown in 2020. Three methods were deployed in the investigation. First, the gathering social media and other web-based content from library services over the months March–September 2020 (amounting to over four thousands snips of content) were analysed thematically. Second, 19 semi-structured interviews with service managers across Scotland were conducted. These were recorded, transcribed and analysed. These elements formed the cornerstone of the research but were supported by a short survey distributed to all public library services in Scotland focussed on e-lending during lockdown.FindingsFindings are presented in respect of the lessons to be learnt from the closure of physical services and the migration to digital only provision, the contribution made to supporting communities, health and well-being, the importance of the balance of physical and digital library services around governance models for library services, as well as around the process of reopening services. This research explores how staff responded to this unparalleled situation, how the staff maintained close relationship with the communities the staff serve, what services themselves learnt through lockdown, and how the staff's management practices adapted. The findings present voices from Scottish libraries during 2020.Research limitations/implicationsThe research presents a snapshot of activities during a period of fast-moving change. The research, therefore, presents a snapshot of March–December 2020, which is, however, an extremely important snapshot. The first lockdown was perhaps most interesting to study from a research perspective because the authors witnessed, real-time, how the staff responded and reacted (with lessons learnt and applied in subsequent regional or national lockdowns later in 2020 and in the 2021). The second lockdown and subsequent periods were outside the scope of this research.Practical implicationsRecommendations are offered around the need for a national conversation about digital content provision in public libraries and the exploration of possibilities of a national approach, the role libraries have as digital enablers (in supporting effort to overcome the digital divide in society), the crucial nature of continued strong advocacy for public libraries, the importance of the library as a physical space, and on how to maintain the flexibility, agility and autonomy which emerged during lockdown.Social implicationsThe research presents strong testimony about the social value of public libraries as free, safe and public spaces within communities. It also highlights the continued digital divide which exists in many places and the important role that public libraries have in being digital enablers for many members of the public. The closeness of library service staff to users is strongly evidenced in the testimony from managers as is the need for parent organisation (local authorities or in culture or leisure trusts) to recognise more fully the breadth of services the public library provides and how these are "essential” for many users.Originality/valueThe value and distinctiveness of this research lies in the fact that the research captured the voices, thou hts and perceptions of Scotland's public libraries during the period of lockdown in 2020. The evidence gathered suggests important conversations are required around equity of e-lending provision, the role of libraries as digital enablers, the balance between physical and digital provision and around the ways libraries are managed (directly by local authorities or in culture trusts). The research affords lessons for public library provision beyond Scotland with many issues being transferable to other contexts.
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Ganesan and Gunasekaran presented "Assessment of information literacy skills and knowledge-based competencies in using electronic resources among medical students,” in which they administered a questionnaire to 120 medical students enrolled at the Mahatma Gandhi Medical College and Research Institute (India) to inquire about their acquisition of information literacy skills, centering on use, purpose for using information, search strategies and the information sources that they used. In another COVID-19 related article, Singh's "Role of National Digital Library of India (NDLI) for facilitating open access resources (OARs): an investigation on COVID-19 research repository,” provides insights about the availability of COVID-19 related information resources and argues about the importance of such digital resources, and specifically of the NDLI repository, to support research and education. Porsche, Suchá and Martinek contributed ‘The potential of Google Analytics for tracking the reading behavior in web books', in which they conducted a pilot quantitative study on 190 web book users regarding their reading behavior, by employing Google Analytics.
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Recent literature suggests there is a natural connection between innovation and digital transformation, two key topics of interest in management and organization that have spawned large, independent and well-defined areas of study. While this connection might be analytically straightforward and notable examples are not hard to find, in everyday life, it materializes in a multiplicity of ways. A need emerges, then, to better understand the interaction between innovation and digital transformation so that it can be explored and exploited by actors in academia and the public, private and third sectors. In this article, we use a co-word analysis, a text mining technique that permits to systematically map the intellectual structure of a research field, to characterize the most notable dynamics of 'innovation-driven digitalization' and 'digitalized innovation'- the two major dimensions of interaction between innovation and digital transformation. The text identifies the relevant themes, subthemes and concepts that appear in the literature, as well as their relationship and level of development. It, then, aggregates them in a taxonomy that, on the one hand, readily displays their connection and, on the other hand, (i) informs about current or potential controversies, (ii) gaps, (iii) lines for novel and further research, and (iv) alternatives to bridge to other areas of study.
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Much attention is paid to data science and machine learning as an effective means for getting value out of data and as a means for dealing with the large amounts of data we are accumulating at companies and organizations. This has gained importance with the major waves of digitization we have seen, especially with the COVID-19 pandemic accelerating digital everything. However, in reality, most machine learning models, despite achieving good technical solutions to predictive problems wind up not being deployed. The reasons for this are many and have their origin in data scientists and machine learning practitioners not paying enough attention to issues of deployment in production. The issues range all the way from establishing trust by business stakeholders and users, to failure to explain why models work and when they do not, to failing to appreciate the importance of establishing a robust quality data pipeline, to ignoring many constraints that apply to deployed models, and finally to a lack of understanding the true cost of production deployment and the associated ROI. We discuss many of these problems and we provide what we believe is a pragmatic approach to getting data science models successfully deployed in working environments.
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Practical knowledge is essential for engineering education. With the COVID-19 pandemic, new challenges have arisen for remote practical learning (e.g., collaborations/experimentations with real equipment when face-to-face offerings are not possible). In this context, LabEAD is a remote lab project that aims to provide practical knowledge learning opportunities for Brazilian engineering students. This article describes how engineering project management methods consisting of application domains, requirement identification, technical solution specification, implementation, and delivery phases, were applied to the development of an Internet of Things (IoT) remote lab architecture. The distributed computing environment allows integration between students' smartphones and IoT devices deployed in campus labs and in student residences. The code is open-source for facilitated replication and reuse, and the remote lab was built in six months to enable six experiments for the digital electronics lab during the COVID-19 pandemic, covering all the experiments of the original face-to-face offering. More than 70% of the 32 students preferred remote labs over simulations, and only 2 were not approved in the digital electronics course offered remotely.Student perceptions collected by questionnaires showed that they could successfully specify, develop, and present their projects using the remote lab infrastructure in four weeks.
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COVID-19 , COVID-19/epidemiology , Digital Technology , Humans , Learning , Pandemics , StudentsABSTRACT
Purpose>This paper aims to examine the determinants that drive digital library use by university students in Indonesia and Malaysia during COVID-19. A proposed model based on the unified theory of acceptance and use of technology model-2 was implemented.Design/methodology/approach>A pilot study was conducted prior to the main data collection to examine the reliability of the instrument. For the structural model assessment, 1,168 responses were analysed through partial least square structural equation modelling (PLS-SEM) and importance and performance analysis (IPMA). A t-test was also conducted to support the main findings.Findings>Most hypotheses are confirmed by the significant results reported through the PLS-SEM. The strongest determinant of behavioural intention is habits. Digital library use is most significantly predicted by behavioural intention. Through IPMA, habits are reported to be the most important determinant for behavioural intention. Performance expectancy obtains the highest performance in the IPMA procedure. Behavioural intention and digital library use are significantly different based on the respondents’ location.Originality/value>This study addresses the research gap (comparative studies between two countries) by evaluating digital library use among students in two universities in Indonesia and Malaysia during COVID-19. Findings could facilitate policymakers with insights into digital library use determinants and initiate effective and efficient policies to improve digital library use, especially during school closures due to certain situations or conditions.
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The previous years have brought a major disruption with the COVID-19 outbreak, and universities around the world had to quickly adapt to the new format of teaching and learning. Different fields faced various obstacles in trying to provide the best possible classroom-like experience to students during the lockdown. For engineering study programs, especially in the courses where the laboratory is very important, it was a difficult task to replicate the syllabus in the online domain. This paper presents experiences from online teaching of the Digital System Design course at the University of Novi Sad. Traditional and online variants of the course are presented and compared, with the focus on laboratory exercises which were the most difficult to adapt. In addition, student experiences are summarized and compared to experiences in the previous years when the course was held traditionally. © 2022 Croatian Society MIPRO.
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At present, the development of chatbots is one of the key activities for the diagnosis of Covid-19. The aim is to understand how these chatbots operate in the health area to make a respective diagnosis. The purpose of the research is to determine the state of the art on the use of chatbots and its impact on Covid-19 diagnosis during the last 2 years. The data sources that have been consulted are IEEE Xplore, Taylor & Francis Online, ProQuest, World Wide Science, Science Direct, Microsoft Academic, Google Scholar, ACM Digital Library, Wiley Online Library, and ETHzurich. The search strategy identified 5701 papers, of which 101 papers were selected through 8 selection criteria and 7 quality assessments. This review presents discussions regarding the methodologies used for chatbot development, i.e., what are the purposes and impact of using chatbots for Covid-19 diagnosis. In addition, this is presents the results of how important the development and implementation of chatbots are in the area of health in the face of this pandemic.
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The crisis caused by COVID-19 pandemic lead to shocks in the global supply chains in 2020 and 2021. During the past two years - the trade wars, the effects on supply and demand and the ensuing logistical chaos that result from the rapid return to trade - have exposed vulnerabilities in firms' production strategies and supply chains. The paper is based on data from empirical research, expanding on the vulnerabilities of supply chain operations during global disruptions, focusing on both internal and external aspects of the companies. The research led to the discovery of future challenges which modern supply chains have to adapt to, through the possible digitalization of the supply chains with its analyzed benefits and drawbacks. Digitalization can synchronize various elements by eliminating manual processes and spreadsheets and replacing them with digital systems in companies that unite stakeholders around the world, improving communication, collaboration and ensuring the free flow of information in real time and by including each member in the supply chains. Based on data from the research, the paper presents detailed responses on various disruptions in supply chains. Organizations that are advanced in supply chain planning show key behaviors that drive their superior performance, enabling them to position themselves successfully and to adapt to most kinds of disruptions and momentary uncertainty.
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By 2050, according to the UN medium forecast, 68.6% of the world’s population will live in cities. This growth will place a strain on critical infrastructure distribution networks, which already operate in a state that is complex and intertwined within society. In order to create a sustainable society, there needs to be a change in both societal behaviours (for example, reducing water, energy or food waste activities) and future use of smart technologies. The main challenges are that there is a limited aggregated understanding of current waste behaviours within critical infrastructure ecosystems, and a lack of technological solutions to address this. Therefore, this article reflects on theoretical and applied works concerning waste behaviours, the reliability/availability and resilience of critical infrastructures, and the use of advanced technologies for reducing waste. Articles in the Scopus digital library are considered in the investigation, with 51 papers selected by means of a systematic literature review, from which 38 strains, 86 barriers and 87 needs are identified, along with 60 methods of analysis. The focus of the work is primarily on behaviours, barriers and needs that create an excess or wastage.
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Purpose>This study aims to evaluate the role of personality in digital library systems (DLS) adoption intention among Generation Z (Gen-Z) students. The study uses the unified theory of acceptance and use of technology-2 and the five-factor model to investigate personality’s influence on Gen-Z’s DLS adoption intention.Design/methodology/approach>The study is a descriptive causal investigation based on primary data collected through a self-administered survey using pre-validated tools. The study uses structural equation modeling to investigate personality dimensions’ direct and moderating effect on the dependent, independent variables and their relation.Findings>The study results indicate that personality has no significant influence on Gen-Z’s DLS adoption, suggesting the ubiquity and inevitability of technology in current times. Also, only performance expectancy had a considerable impact on DLS adoption among Gen-Z going to college – a deviation from past studies where multiple independent variables have influenced DLS adoption when examined from different technology adoption model angles.Research limitations/implications>The current research is done on Gen-Z, and thus the results are ideographic to the cohort.Practical implications>The results of the study can be used to effectively design and communicate technology-enabled information solutions among the Cohort.Social implications>The results of the study help better understand the factors affecting the technology adoption intentions of Gen-Z. Such understanding can help in better design and implementation of technology-enabled solutions for the cohort, maximizing such system adoption and its effective and efficient utilization.Originality/value>The study explores the impact of personality on DLS adoption intentions, hitherto unexplored. The research also focuses on Gen-Z – a cohort born in a technology-enabled world whose attitude and preferences towards technology might differ. The study’s findings will help understand the influence of personality on DLS adoption among the Gen-Z and can be used to design, promote and evaluate such systems.
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PurposeBlockchain technology is a distributed and decentralized public digital ledger, which is employed to save dynamic transaction data and static records across several computers so that each record could not be modified retroactively without the collusion of the network and alteration of all subsequent blocks. Recently, it has become immensely popular in digital resource sharing in different research areas such as healthcare, smart cities, cryptocurrency and libraries. Since the current eLibrary systems are vulnerable to issues such as unauthorized access, plagiarism, etc., there is a lack of access control system that can efficiently address these issues.Design/methodology/approachThe authors designed a conceptual model for evaluating the users' intention in the use of blockchain-based digital libraries, which can facilitate the resource organization and provide additional security to interactive processes between users. To conduct our survey, the authors devised and shared two versions, English and Chinese, among 298 participants. Moreover, 7 PhD students participated in the pre-testing of the questioner design. The authors analyzed the demographic data using the Jamovi software and SmartPLS in order to generate the path modeling.FindingsThis study revealed that blockchain technology adaption in eLibraries is essential for enhancing the quality of services, infrastructure and resources for libraries. The study’s results show that optimism, informativeness, perceived usefulness, perceived ease of use, attitude and intention to use blockchain technology for accessing digital resources in libraries.Originality/valueThis study contributes to the adoption of blockchain technology in the digital library. To the best of the authors’ knowledge, this work is the first empirical attempt to provide a new perspective of developing digital libraries based on security policies. This model shows the underpinning knowledge to manage digital resources, which can facilitate the design phases and enhance the management costs in eLibraries.
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This article presents a systematic mapping study dedicated to conduct a literature review on machine learning and IoT applied in the identification of diseases through heart sounds. This research was conducted between January 2010 and July 2021, considering IEEE Xplore, PubMed Central, ACM Digital Library, JMIR—Journal of Medical Internet Research, Springer Library, and Science Direct. The initial search resulted in 4372 papers, and after applying the inclusion and exclusion criteria, 58 papers were selected for full reading to answer the research questions. The main results are: of the 58 articles selected, 46 (79.31%) mention heart rate observation methods with wearable sensors and digital stethoscopes, and 34 (58.62%) mention care with machine learning algorithms. The analysis of the studies based on the bibliometric network generated by the VOSviewer showed in 13 studies (22.41%) a trend related to the use of intelligent services in the prediction of diagnoses related to cardiovascular disorders.
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Source: Details available at <https://www.manilatimes. net/2021/05/05/public-square/gida-schools-in-ldn-receive-first-everdigital-st-library/869940/> Library System Offers Free Digital Access to NY Times, WS Journal, Consumer Reports The MDPLS (Miami-Dade Public Library System) has added free unlimited access to The New York Times, The Wall Street Journal and Consumer Reports online to its extensive collection of online digital resources. Patrons can stay informed with access to top-notch news, business, health and lifestyle reporting and more from around the nation and the world with The New York Times and The Wall Street Journal online and become smarter consumers and save money with access to unbiased product reviews, ratings and buying guides for everything from cars and baby gear to appliances and electronics with consumer reports online. According to data provided by the Department of Public Libraries, around 10.9 lakh e-books and 5.49 lakh videos have been accessed so far.