
Editorial
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Health Education England (HEE) through its publication of Knowledge for Healthcare (HEE (2014) Knowledge for Healthcare: a development framework for NHS Library and Knowledge Services in England 2015–2020. https://www.hee.nhs.uk/sites/default/files/documents/Knowledge_for_healthcare_a_development_framework_2014.pdf sets out an ambitious vision to transform NHS Library and Knowledge Services at a time of great change for the health service. Five years on this article outlines the key strand of work undertaken to mobilise evidence and organisational knowledge at scale across the health service in England. Using evidence and knowledge is crucial to drive and sustain change and the role of librarians and knowledge specialists is business critical to underpin this service transformation in healthcare. Driver diagrams were used to plan the work to encourage NHS organisations to apply and use evidence, build know-how, continue to learn and drive innovation. Engagement with senior stakeholders was a critical enabler and the impact of the #AMillionDecisions advocacy campaign to highlight the multiple benefits of working with librarians and knowledge specialists is considered. The development of practical tools has supported delivery. These have included a maturity model self-assessment tool to identify opportunities to use evidence and knowledge by senior leaders and updating of the NHS Knowledge Mobilisation Framework e-learning and postcards to enable healthcare staff to use simple knowledge management techniques to share their knowledge and learning. This work was dependent upon developing the skills of existing health librarians and various approaches are described. The article concludes with a reflection on the recommendations from the Topol Review (Topol E (2019) The Topol Review. Preparing the healthcare workforce to deliver the digital future. An independent report on behalf of the Secretary of State for Health and Social Care. https://topol.hee.nhs.uk/wp-content/uploads/HEE-Topol-Review-2019.pdf (accessed 31 January 2020)) to expand the knowledge specialist workforce and outlines future developments planned for the next 5 years and beyond.
The General Data Protection Regulation (GDPR) 2018 imposes much greater demands on companies to address the rights of individuals who provide data, that is, Data Subjects. The new law requires a much more transparent approach to gaining consent to process personal data. However, few obvious changes to how consent is gained from Data Subjects to comply with this. Many companies are running the risk of non-compliance with the law if they fail to address how data are obtained and the lack of true consent which Data Subjects currently give to their data being processed. Consent is a complex philosophical principle which relies on the person giving the consent being in full possession of the facts, this article explores the philosophical background of consent and examines the circumstances which were the point of departure for the debate on consent and attempts to develop an understanding of it in the context of the growing influence of information systems and the data-driven economy. The GDPR has gone further than any other regulation or law to date in developing an understanding of consent to address personal data and privacy concerns.
Graduate students who are on the go prefer to have research help virtually for convenience. But, not in the case of Kazakhstan. Our two-year data would show that almost half of the transactions we recorded are face-to-face encounters. While business graduate students use e-mail and chat for research help, they mostly prefer physical interaction. They visit the library on-site for multiple reasons. This study will provide us insights that despite the provision of technological enhancements for online communication and virtual reference, graduate students show up in the library to ask in-person research assistance. This article will describe the types of transactions received from graduate business students.
The relationship between knowledge management (KM) and firm performance is an interesting field for both scholars and practitioners. Despite the extant literature, more studies are required in order to clarify the abovementioned relationship. The purpose of this article is to examine the impact of KM practices on financial and nonfinancial performance. KM practices are knowledge creation practices, continuous learning practices (CLP), knowledge and feedback systems (KFS), and management of employees’ individual competencies. Methodologically the study uses partial least squares structural equation modeling. The results show that KFS affect firms’ financial performance and that CLP do not influence oneither financial or nonfinancial performance.
The computerization of relevant information in organizations is increasingly becoming a necessary reality in companies that want to be present in a market that is characterized by innovation, adaptability and where bigger amounts of information are increasingly available and accessible to everyone, the use of Social Collaboration tools in organizations become increasingly crucial to keep a business running (Brocke J, Maaß W, Buxmann P, et al. (2018) Future work and enterprise systems.