Relevant bibliographies by topics / Personnel management – Data processing

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Personnel management – Data processing'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 January 2023

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Journal articles on the topic "Personnel management – Data processing"

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Parmar, Jenish, Priti Mehta, Rajvi Patel, Manan Shah, and Charmy Kothari. "Raw Data Management and Data Integrity in Pharmaceutical Product Development." Applied Clinical Research, Clinical Trials and Regulatory Affairs 7, no. 3 (December 24, 2020): 197–205. http://dx.doi.org/10.2174/2213476x07999200901110354.

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In pharmaceuticals, raw data management is a tedious process that comprises of obtaining the data, affirming the validity, and preserving the required data to make certain of the quality, accuracy, and timeliness of the one who is using the data. Raw data management makes processing, validation, and other essential functions simpler and less time intensive. It provides actual information, i.e., the information which has not undergone any processing either manually or through an automated system. Raw data are managed by looking into integrity issues, such as document falsification, failure to provide adequate controls, and taking appropriate measures for its prevention. Also, access to the computer system should be restricted to authorized personnel only. There should be shared just-read client accounts that will stop the sharing of important data to personnel other than the authorized one. Prevention and management include training, good documentation practice, self-inspection, management strategy, and global corrective and preventive actions. Also, a good moral practice should be taught to the employees who are into documentation work.
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Barbara, Anna, Alexander Pimonov, and Lyubov Sluder. "A Review of Methods for Processing Unstructured Data in the Assessment of Mining Personnel." E3S Web of Conferences 174 (2020): 04040. http://dx.doi.org/10.1051/e3sconf/202017404040.

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Skilled staff, as well as conditions for their development and motivation, are key conditions for the successful operation of the company. Creation of a high-quality Human Resources (HR) personnel management system would allow to solve this problem. For the achievement of the ultimate goal - the most effective formation and development of the personnel potential of the enterprise requires the creation of conditions for all employees allowing the maximum use and increase of labour potential, as well use of creative abilities and creative thinking. Labour competences and competence evaluation represent real challenges for companies. When modelling a high-quality HR management system, it is important to take into account features such as presence of uncertainty and a large number of unstructured data. When evaluating personnel, the cognitive abilities of the decision-maker are involved and the use of fuzzy cognitive modeling (FCM) seems to be the most promising. In addition, cognitive models allow us to present complex relationships between investigated parameters revealing influence on each other. This paper considers an expert performance evaluation system based on competency model and a fuzzy logic model. The FCM based management personnel system’s is proposed. There are many performance evaluation methods; however, none is universal and common to all companies. This work brings contributions to HR management solutions, finding new ways to apply artificial intelligence (AI) techniques to processes that typically were performed by humans.
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Yusuf, Musa, Faki A. Silas, and Salim Haruna. "Implementing Personnel Management System as SaaS." Circulation in Computer Science 3, no. 5 (July 30, 2018): 1–6. http://dx.doi.org/10.22632/ccs-2018-252-86.

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Cloud computing is where software applications, data storage and processing capacity are accessed via the internet. This paper involves with analysis of the importance of cloud computing in software application developed as a service. To achieved that, a web based application OPMaSwas developed to provide service that will improvetheaudit readiness and compliance, couple with conformance to records retention policies and automated record management bundled using SaaS model. The web application is meant to manage personnel of any given organization, providing strong functionalities developed in modules such as; personnel information management module, training information management module, leave management module, resume management module, appraisal management module, document management module, reporting module and payroll management module. This applies to a lot of third world countries especially in Nigeria where interest e-commerce is fast growing. The system was evaluated using software performance methods where a reasonable performance was achieved as compared to state of the art software.
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TKACHENKO, Serhii, Viacheslav TKACHENKO, and Svitlana TKACHENKO. "Optimization of personnel activity of technical and economic data (indicators) analytical processing." Economics. Finances. Law, no. 12/1 (December 28, 2019): 6–9. http://dx.doi.org/10.37634/efp.2019.12(1).1.

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Changing the qualification structure of contractors for the subsystem (function) of analytical processing of technical and economic information data (systematic economic analysis, evaluation) at industrial enterprises and scientific and industrial associations, should also strive to ensure that the economic efficiency of economic and analytical work in the sense of its scientific level, results achieved, reliability and timing was highest, and the use of potential staff capabilities was greatest. It is about optimizing the activity of subsystem staff. In this regard, one of the thematic issues of organizational support for the subsystem (function) of analytical processing of technical and economic information data (systematic economic analysis and evaluation) is the development of a system of measures that ensure the subordination of activities of personnel to the goals set both before the subsystem and before the system. Management of an industrial enterprise and a scientific-industrial association as a whole, and of those that certainly contribute to the most cost-effective implementation of this economic activity in set direction of development. The whole range of problems of comprehensive provision in functionally developed systems of strategic management of special purpose scientific and industrial associations and enterprises of the industry cost-effective activities of personnel of the subsystem (function) of analytical processing of technical and economic information data (systematic economic analysis and evaluation) should be solved on the basis of system approach. The shift in the process of designing the center of gravity of research towards the utilization of the capabilities of the human component of the subsystem (function) is one of the most important and indispensable conditions for the effectiveness of its organizational support, and accordingly, to obtain a given economic (economic) effect from the functional development of the subsystem (function) of analytical processing-economic information empiric (data) (systematic economic analysis and evaluation).
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Dittrich, John E., J. Daniel Couger, and Robert A. Zawacki. "Perceptions of equity, job satisfaction, and intention to quit among data processing personnel." Information & Management 9, no. 2 (September 1985): 67–75. http://dx.doi.org/10.1016/0378-7206(85)90028-x.

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Petrova, Natalya G., and Sarkis G. Pogosyan. "Motivation of medical personnel as an important element of personnel management." Science and Innovations in Medicine 5, no. 2 (June 15, 2020): 105–10. http://dx.doi.org/10.35693/2500-1388-2020-5-2-105-110.

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Objective - to analyze the structure of motivational attitudes of nurse personnel and their career orientations. Materials and methods. The study was conducted on the basis of three multidisciplinary medical organizations in St. Petersburg. Nurses were asked to complete two questionnaires, including an assessment of motivation and career orientations. The total number of questionnaires processed was 162. The average length of service of the respondents was 10.5 years. According to age, the respondents were distributed as follows: 62.0% were people aged 20-29 years, approximately equal shares were people 30-39 years old (18.6%) and 40 years and older (19.4%). The study of the motivation of professional activity was carried out according to the methodology of K. Zamfir (modified by A. Rean). Also, the methodology used to diagnose the value orientations in the career was ''Career Anchors'' (the method of E. Shein in adaptation by V.A. Chiker and V.E. Vinokurov). The questionnaires contain certain points and clues, allowing one to evaluate, respectively, the nature of motivation and preferred orientations. The statistical processing of collected data was performed with the Microsoft Office 2016 programs: Microsoft Word, Microsoft Excel. Results. It was established that in the structure of motivation, 40.2% is an external positive motivation (positive incentives in the organization), 30.1% is an internal motivation (satisfaction with work and its results), 19.7% is an external negative motivation (punishment). The main value orientations in a career are as follows. In the first place - the integration of lifestyles (in 73.2% of cases, this orientation scored maximum points); on the second -stability of work (62.0%); in the third place - ministry (52.4%). The ratio of value orientations varies somewhat among people of different ages. Conclusion. The identified features of motivation and value orientations of nurses should be taken into account both as a whole (to develop a system of motivation in the organization) and personally, taking into account the individual characteristics of each employee. The study of motivation should be carried out by psychologists of medical organizations, and the results should be transmitted to managers to form a reasonable personnel policy.
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Derevianko, Olena. "Stakeholder engagement to replace traditional activities in Reputation Management System: insights from Ukrainian food processing companies." Problems and Perspectives in Management 16, no. 4 (December 6, 2018): 314–30. http://dx.doi.org/10.21511/ppm.16(4).2018.26.

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Engaging stakeholders in reputation management processes in the digital economy, including through the use of their activity on the Internet and social networks, is a way to reduce the irrational reputation-support activity of the company’s management and staff. Given the empirical research data (sociological survey) on the Ukrainian food processing companies, the article analyzes stakeholder engagement to replace traditional activities of the company’s management and personnel in the reputation management system. As a result, the author’s hypothesis was proved that the natural development (increasing the maturity level) of the Reputation Management System (RMS) takes place towards a gradual transfer of reputation management functions from managers to enterprise stakeholders, that is, the traditional reputation activity of the company’s management and personnel is being replaced by stakeholder engagement. It is also proved that the level of development of the reputation management organizational system (organizational preconditions) should be high, but aimed not so much at ensuring the activity of the enterprise management and personnel to maintain its reputation, but rather at the involving stakeholders’ delegated to manage the company reputation.It was found that the prioritizing stakeholder engagement over traditional reputation management activities at the Ukrainian food processing companies is in its infancy. The target state of the reputation management system, where stakeholder engagement is a priority over management activities, was found only in two enterprises out of 18 studied; in 11 of them, these two parameters are balanced, and in remaining five, traditional activity outwalks engagement. The results of the study of the organizational prerequisites for reputation management among enterprises preferring stakeholder engagement show that they have the following seven elements: 1) internal experts in filling and supporting the corporate website and the enterprise pages and brands on social networks; 2) corporate media editorial/text writers among enterprise staff members; 3) a specialized PR unit (reputation management department); 4) the reputa¬tion management business process is regulated; 5) the functional responsibilities of the reputation management participants are integrated with the job descriptions of the relevant employees; 6) a documented formalized PR strategy and operational plans for PR work in various time horizons; 7) a documented formalized plan of anti-crisis PR activities. The above elements make it possible to provide recommendations on the reputation management planning for enterprises seeking to take stakeholder engagement advantages in reputation management.
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Kaur, Barjinder. "Information Management." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 3, no. 3 (August 5, 2013): 424–27. http://dx.doi.org/10.24297/ijct.v3i3a.2949.

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Information management (IM) is the collection and management of information from one or more sources and the distribution of that information to one or more audiences. Management means the organization of and control over the planning, structure and organization, controlling, processing, evaluating and reporting of information activities in order to meet client objectives and to enable corporate functions in the delivery of information. 'Information' here refers to all types of information of value, whether having their origin inside or outside the organization, including data resources, such as production data; records and files related, for example, to the personnel function; market research data; and competitive intelligence from a wide range of sources. Information management deals with the value, quality, ownership, use and security of information in the context of organizational performance.
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Liu, He, and Xing Gang Zhang. "Studies and Applies of the Data Mining in the Mathematical Modelling." Applied Mechanics and Materials 347-350 (August 2013): 2360–64. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.2360.

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Along with the coming of information age, many websites use its formidable resources and popularity, provides day by day the service of specialized and convenient to its member group. The members online rent DVD, became the website management administrative personnel the issue of concern. How to having the data carries on the analysis processing, is solves this problem the key. The article through building the mathematical model, has solved this problem using the data mining technique very well.
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Landa, Jaromír, David Procházka, and Jiří Šťastný. "Point cloud processing for smart systems." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 61, no. 7 (2013): 2415–21. http://dx.doi.org/10.11118/actaun201361072415.

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High population as well as the economical tension emphasises the necessity of effective city management – from land use planning to urban green maintenance. The management effectiveness is based on precise knowledge of the city environment. Point clouds generated by mobile and terrestrial laser scanners provide precise data about objects in the scanner vicinity. From these data pieces the state of the roads, buildings, trees and other objects important for this decision-making process can be obtained. Generally, they can support the idea of “smart” or at least “smarter” cities.Unfortunately the point clouds do not provide this type of information automatically. It has to be extracted. This extraction is done by expert personnel or by object recognition software. As the point clouds can represent large areas (streets or even cities), usage of expert personnel to identify the required objects can be very time-consuming, therefore cost ineffective. Object recognition software allows us to detect and identify required objects semi-automatically or automatically.The first part of the article reviews and analyses the state of current art point cloud object recognition techniques. The following part presents common formats used for point cloud storage and frequently used software tools for point cloud processing. Further, a method for extraction of geospatial information about detected objects is proposed. Therefore, the method can be used not only to recognize the existence and shape of certain objects, but also to retrieve their geospatial properties. These objects can be later directly used in various GIS systems for further analyses.
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Dissertations / Theses on the topic "Personnel management – Data processing"

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Udekwe, Emmanuel. "The impact of human resources information systems in selected retail outlets in Western Cape." Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2348.

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Thesis (MTech (Business Administration))--Cape Peninsula University of Technology, 2016.
Human Resource Information Systems (HRISs) are systems that merge Human Resources (HR) and Information Systems (ISs) for a fast, easy, and convenient way of operating and reporting the human and material resources in an organisation. The retail sector is an important and active sector in terms of its job creation and a major contributor to the economy. This research focuses on the level of impact HRISs have in the retail sector by reassessing its functions, problems, prospects, and benefits to the retail industries. This research further focuses on two retail outlets that use HRISs to explore how effective HRIS implementation is, the benefits these systems are able to offer, and its contribution to the organisation. A multiple case study was used as research strategy. Interviews and semi-structured questionnaires were conducted to collect the data. Data was analysed using summarising, categorising and thematic analysis. The problem statement is that HRISs are difficult to implement and maintain and as a result, organisations cannot effectively utilise these systems to their benefit. The aim of this research is based on exploring how HRISs can be implemented and maintained in order for organisations to gain the expected benefits of the system. The contribution of the study is a proposed guideline for retail organisations to assist in the effective implementation and maintenance of their preferred HRISs. All ethical standards as required by CPUT were followed. Consent was obtained in writing from the companies as well as the interviewees.
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Van, Heerden Jeanne-Marie. "The impact of the implementation of E-HRM on the human resource management function." Thesis, Nelson Mandela Metropolitan University, 2011. http://hdl.handle.net/10948/d1021239.

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The purpose of the research was to improve the use of electronic human resource management in South African businesses by investigating that there is a positive impact when implementing e-HRM on the human resource management function. The research was carried out within a South African business, whose parent business concern is based overseas and has branches operating within South Africa The research was significant as it shaped the researcher’s concern as to whether electronic human resource would be beneficial to a South African business if the business superiors decide to implement e-HRM within their business opinion and what impact it would have. The methodological components that guided the research were a structured questionnaire that was distributed by using a combination of convenience, snowball, and judgemental sampling techniques. Certain aspects highlighted in the literature review were used as the framework for the development of a questionnaire to assess how people perceive the implementation of e-HR on their working environment and if e-HR has helped the business run more efficiently and effectively. Six hypotheses were tested and all were accepted. The potential for generalisations of the findings are that given the potential that e-HRM has for the transformation of human resource, it is reasonable to expect that the sizeable changes required, both in organisation and mindset, are likely to provoke resistance from various end users. What was learned was that HR is often hindered by a multitude of manual, paper based processes and transactions, such as tax, payroll and benefits information, that are costly, prone to errors and time-consuming to manage. This makes it difficult for HR organisations to focus on higher value business in initiatives that may help to drive the profitability and efficiency of the organisations. The implication of the findings about the impact of the implementation of e-HR on the Human Resource Management function was that firms need to figure out how to make technology feasible and industrious, as managers and Human Resource professionals are responsible for redefining how work at their firms or business flow as they need to keep ahead of the information curve and therefore learn how to influence information for business results to be more efficient and effective. The theoretical and practical implications of the findings are discussed and recommendations based on these findings are provided.
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Marazanye, Joram. "The perceived meaning and benefits of people analytics in selected organisations in South Africa." Thesis, University of Fort Hare, 2017. http://hdl.handle.net/10353/4480.

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Regardless of the widespread application of analytics to a variety of business measurements, it is noteworthy that the use of people analytics is still no place close where it could be. The main aim of this study is to examine the perceived meaning and benefits of people analytics in selected South African organisations. People analytics is a burning-fresh topic in HR field aiming at using data to make organisational decisions and little has been done in this area especially in the South African context. The study employed qualitative-exploratory design which comprised of 10 senior HR officers from selected organisations in South Africa. From the findings, it shows that the employment of people analytics in South African context is in its early stage and its conception and repercussions are little understood. In addition, there is an accord on its usefulness, however the workforce analytic skills have found to be the major difficulty to foster its successful implementation and adoption by organisations. Because of its qualitative nature, this study had a limitation that it lack representativeness hence the findings cannot be generalised. Research opportunities for future can be quantitative and longitudinal research to objectively ascertain the extent future employability of people analytics.
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Chitondo, Pepukayi David Junior. "Data policies for big health data and personal health data." Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2479.

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Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2016.
Health information policies are constantly becoming a key feature in directing information usage in healthcare. After the passing of the Health Information Technology for Economic and Clinical Health (HITECH) Act in 2009 and the Affordable Care Act (ACA) passed in 2010, in the United States, there has been an increase in health systems innovations. Coupling this health systems hype is the current buzz concept in Information Technology, „Big data‟. The prospects of big data are full of potential, even more so in the healthcare field where the accuracy of data is life critical. How big health data can be used to achieve improved health is now the goal of the current health informatics practitioner. Even more exciting is the amount of health data being generated by patients via personal handheld devices and other forms of technology that exclude the healthcare practitioner. This patient-generated data is also known as Personal Health Records, PHR. To achieve meaningful use of PHRs and healthcare data in general through big data, a couple of hurdles have to be overcome. First and foremost is the issue of privacy and confidentiality of the patients whose data is in concern. Secondly is the perceived trustworthiness of PHRs by healthcare practitioners. Other issues to take into context are data rights and ownership, data suppression, IP protection, data anonymisation and reidentification, information flow and regulations as well as consent biases. This study sought to understand the role of data policies in the process of data utilisation in the healthcare sector with added interest on PHRs utilisation as part of big health data.
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Ngai, Kin-fai, and 魏建輝. "An appraisal of computer-based management information systems in Hong Kong secondary schools with emphasis on human resource factors." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1992. http://hub.hku.hk/bib/B31956154.

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Ceccucci, Wency A. "Decision support systems design: a nursing scheduling application." Diss., Virginia Tech, 1994. http://hdl.handle.net/10919/40303.

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Honniger, Werner. "Networking the enterprise : a solution for HBR personnel." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/16481.

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Thesis (MPhil)--Stellenbosch University, 2004.
ENGLISH ABSTRACT: This Extended Research Assignment discusses the information systems found in HBR Personnel. The discussion, based on the research problems, proposes steps in which the systems of HBR can be integrated so that they add the most value. Furthermore, a review of Corporate Portals is undertaken to show the potential impact it may have on organisational efficiencies and knowledge. The Assignment, according to the methodologies given, analyses the HBR information system for system incompatibilities and bottlenecks and proposes solutions for these problems. The solutions include changing core system databases and computer systems, together with a portal to fully integrate HBR Personnel’s information systems.
AFRIKAANSE OPSOMMING: Hierdie Uitgebreide Navorsingsopdrag bespreek die informasiestelsels gevind in HBR Personnel. Die bespreking, gebaseer op die navorsingsprobleme, stel stappe voor waardeur die stelsels van HBR geïntegreer kan word om die meeste waarde toe te voeg. Verder word ‘n oorsig gedoen van Korporatiewe Portale om te wys watter potensiële impak dit kan hê op organisatoriese doeltreffendheid en kennis. Na aanleiding van die gegewe metodologieë analiseer die opdrag HBR se informasiestelsel vir sistemiese probleme en bottelnekke en stel oplossings voor vir hierdie probleme. Die oplossings sluit in ‘n verandering van kern-sisteem databasisse en rekenaarstelsels, tesame met ‘n portaal om HBR Personnel se informasiestelsels ten volle te integreer.
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Harmse, Magda Susanna. "Physicians' perspectives on personal health records: a descriptive study." Thesis, Nelson Mandela Metropolitan University, 2016. http://hdl.handle.net/10948/6876.

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A Personal Health Record (PHR) is an electronic record of a patient’s health-related information that is managed by the patient. The patient can give access to other parties, such as healthcare providers and family members, as they see fit. These parties can use the information in emergency situations, in order to help improve the patient’s healthcare. PHRs have an important role to play in ensuring that a patient’s complete health history is available to his healthcare providers at the point of care. This is especially true in South Africa, where the majority of healthcare organizations still rely on paper-based methods of record-keeping. Research indicates that physicians play an important role in encouraging the adoption of PHRs amongst patients. Whilst various studies have focused on the perceptions of South African citizens towards PHRs, to date no research has focused on the perceptions of South African physicians. Considering the importance of physicians in encouraging the adoption of PHRs, the problem being addressed by this research project thus relates to the lack of information relating to the perceptions of South African physicians of PHRs. Physicians with private practices at private hospitals in Port Elizabeth, South Africa were surveyed in order to determine their perceptions towards PHRs. Results indicate perceptions regarding benefits to the physician and the patient, as well as concerns to the physician and the patient. The levels of trust in various potential PHR providers and the potential uses of a PHR for the physician were also explored. The results of the survey were compared with the results of relevant international literature in order to describe the perceptions of physicians towards PHRs.
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Tsegaye, Melekam Asrat. "A model for a context aware machine-based personal memory manager and its implementation using a visual programming environment." Thesis, Rhodes University, 2007. http://hdl.handle.net/10962/d1006563.

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Memory is a part of cognition. It is essential for an individual to function normally in society. It encompasses an individual's lifetime experience, thus defining his identity. This thesis develops the concept of a machine-based personal memory manager which captures and manages an individual's day-to-day external memories. Rather than accumulating large amounts of data which has to be mined for useful memories, the machine-based memory manager automatically organizes memories as they are captured to enable their quick retrieval and use. The main functions of the machine-based memory manager envisioned in this thesis are the support and the augmentation of an individual's biological memory system. In the thesis, a model for a machine-based memory manager is developed. A visual programming environment, which can be used to build context aware applications as well as a proof-of-concept machine-based memory manager, is conceptualized and implemented. An experimental machine-based memory manager is implemented and evaluated. The model describes a machine-based memory manager which manages an individual's external memories by context. It addresses the management of external memories which accumulate over long periods of time by proposing a context aware file system which automatically organizes external memories by context. It describes how personal memory management can be facilitated by machine using six entities (life streams, memory producers, memory consumers, a memory manager, memory fragments and context descriptors) and the processes in which these entities participate (memory capture, memory encoding and decoding, memory decoding and retrieval). The visual programming environment represents a development tool which contains facilities that support context aware application programming. For example, it provides facilities which enable the definition and use of virtual sensors. It enables rapid programming with a focus on component re-use and dynamic composition of applications through a visual interface. The experimental machine-based memory manager serves as an example implementation of the machine-based memory manager which is described by the model developed in this thesis. The hardware used in its implementation consists of widely available components such as a camera, microphone and sub-notebook computer which are assembled in the form of a wearable computer. The software is constructed using the visual programming environment developed in this thesis. It contains multiple sensor drivers, context interpreters, a context aware file system as well as memory retrieval and presentation interfaces. The evaluation of the machine-based memory manager shows that it is possible to create a machine which monitors the states of an individual and his environment, and manages his external memories, thus supporting and augmenting his biological memory.
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Van, der Walt J. C. "The strategy and approach with the use of open-source software in Sanlam Personal Finance (SPF)." Thesis, Stellenbosch : Stellenbosch University, 2006. http://hdl.handle.net/10019.1/21123.

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Thesis (MBA)--Stellenbosch University, 2006.
ENGLISH ABSTRACT: Open-source software (055) refers to software collaboratively developed by developers across the globe, which embraces the philosophy of sharing. The fundamental idea behind open-source is that when programmers can read, redistribute, and modify the source code for a piece of software, the software evolves. The Internet plays an extremely important role in the distribution of the software and today, many 055 products are downloadable free from the Internet. Despite the inherent challenges, the research organisation Gartner predicts that the majority of mainstream IT organisations will successfully adopt formal open-source management strategies as core IT disciplines. What more, IT organisations and technology vendors who ignore the potential threats and opportunities of 055 will increasingly find themselves at a competitive disadvantage. However, organisations are not always clear on the appropriate strategy, direction, and approach to take when deciding on the role of 055 in their organisations. There is so much hype surrounding the use and the risks of open-source that it can be difficult for organisations to know what is real and what is not. Furthermore, organisations are intrigued but also stymied by the myths of the costs, support, and risks of 055. Also in South Africa, organisations and the South African Government are asking themselves how relevant the benefits and risks of the software are to them. Consequently, the aim of the study is to broaden the existing knowledge of 055 in South Africa by investigating a South African organisation's approach and decisions regarding the use of 055 in the organisation.
AFRIKAANSE OPSOMMING: "Open-Source" sagteware (OSS) verwys na sagteware wat gesamentlik ontwikkel word deur programmeerders regoor die wêreld en die filosofie van "deel met mekaar" omvat. Die wesenlike idee agter "open-source" is dat wanneer programmeerders in staat is om die die bronkode van 'n program te kan lees, versprei en wysig, die sagteware verder en beter kan ontwikkel. Die Internet speel 'n belangrike rol in die verspreiding van die sagteware, en baie OSS- produkte is vandag gratis beskikbaar vir aflaai van die Internet af. Ongeag die inherente uitdagings, voorspel die navorsingsorganisasie Gartner, dat die meerderheid hoofstroom IT -organisasies formele "open-source" bestuurstrategieë suksesvol as kern IT-dissiplines sal aanneem. Wat meer is : IT-organisasies en verskaffers van tegnologie (harde en sagteware) wat die potensiële bedreigings en geleenthede van OSS ignoreer, sal hulself toenemend in 'n nadelig-kompeterende situasie bevind. Organisasies is dikwels nuuskierig, maar ook skepties ten opsigte van die mites rondom kostes, ondersteuningstelsels en risiko's verbonde aan OSS. Sommige organisasies het nie altyd helderheid rondom die toepaslike strategie, rigting en aanslag wat gevolg moet word, wanneer 'n besluit rondom die rol van OSS binne hul organisasies geneem moet word nie. Verder is soveel verkeerde persepsies en onsekerheid rondom die gebruik van, en risiko's verbonde aan "open-source", dat dit vir sommige organisasies moeilik raak om te onderskei tussen die feite en fiksie. Ook in Suid-Afrika vra organisasies en die Suid-Afrikaanse Regering hulself die vraag af hoe relevant die voordele en risiko's van die sagteware werklik is, en hoe dit hul raak. Die doel van hierdie studie is om die bestaande kennis rondom OSS in Suid-Afrika te verbreed, deur ondersoek in te stel na 'n Suid-Afrikaanse organisasie se benadering en besluite rondom die gebruik van OSS in hul organisasie.
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Books on the topic "Personnel management – Data processing"

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CIP 91 (Conference) (London, England). Computers in personnel. London: Institute of Personnel Management (and) Institute of Manpower Studies, 1991.

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Personalinformationssysteme: Einführung und Einsatz in schweizer Grossunternehmen. Frankfurt am Main: Lang, 1998.

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Faisst, Jürgen. Hierarchische Planung unter Einsatz neuronaler Netze: Illustriert an Untersuchungen zum flexiblen Personalmanagement. Heidelberg: Physica, 1993.

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Gallagher, M. L. Computers and human resource management. 2nd ed. Oxford: Butterworth-Heinemann, 1991.

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L, Gallagher Michael, ed. Computers and human resource management. 2nd ed. Oxford: Butterworth Heinemann, 1991.

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PC projects for human resource management. 3rd ed. Minneapolis/St. Paul: West Pub. Co., 1996.

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Beutell, Nicholas J. PC projects for human resource management. 2nd ed. Minneapolis/St. Paul: West Pub. Co., 1993.

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Evans, Alastair. Computers and personnel systems: A practical guide. London: Institute of Personnel Management, 1991.

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Terry, Page, Institute of Manpower Studies, Institute of Personnel Management, CIP 88 (Conference) (London, England), and National Conference and Exhibition on Computers in Personnel, (7th : 1988 : London, England), eds. Computers in personnel: A generation on. Brighton: Institute of Manpower Studies, 1988.

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Chabot, Alain. L' informatisation de la fonction Personnel: Comment mettre en place des outils informatiques au service de la fonction Personnel? [Paris]: Cahiers d'information du directeur de Personnel, 1991.

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Book chapters on the topic "Personnel management – Data processing"

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Heyman, Rob. "Sharing Is Caring, a Boundary Object Approach to Mapping and Discussing Personal Data Processing." In Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data, 21–31. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16744-8_2.

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Rantos, Konstantinos, George Drosatos, Konstantinos Demertzis, Christos Ilioudis, Alexandros Papanikolaou, and Antonios Kritsas. "ADvoCATE: A Consent Management Platform for Personal Data Processing in the IoT Using Blockchain Technology." In Innovative Security Solutions for Information Technology and Communications, 300–313. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12942-2_23.

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Bingham, John. "Data Management." In Data Processing, 157–80. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-19938-9_12.

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Mannhardt, Felix. "Responsible Process Mining." In Lecture Notes in Business Information Processing, 373–401. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08848-3_12.

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AbstractThe prospect of data misuse negatively affecting our life has lead to the concept of responsible data science. It advocates for responsibility to be built, by design, into data management, data analysis, and algorithmic decision making techniques such that it is made difficult or even impossible to intentionally or unintentionally cause harm. Process mining techniques are no exception to this and may be misused and lead to harm. Decisions based on process mining may lead to unfair decisions causing harm to people by amplifying the biases encoded in the data by disregarding infrequently observed or minority cases. Insights obtained may lead to inaccurate conclusions due to failing to considering the quality of the input event data. Confidential or personal information on process stakeholders may be leaked as the precise work behavior of an employee can be revealed. Process mining models are usually white-box but may still be difficult to interpret correctly without expert knowledge hampering the transparency of the analysis. This chapter structures the topic of responsible process mining based on the FACT criteria: Fairness, Accuracy, Confidentiality, and Transparency. For each criteria challenges specific to process mining are provided and the current state of the art is briefly summarized.
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Pearson, William. "Leveraging Checkpoint Processing." In Data Management, 247–55. 3rd ed. Boca Raton: Auerbach Publications, 2021. http://dx.doi.org/10.1201/9780429114878-25.

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Köper, Johannes, and Hans Jürgen Zaremba. "Personnel-related concepts of food-processing SMEs." In Quality Management and Qualification Needs 1, 253–336. Heidelberg: Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-642-57648-5_8.

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Zhao, Liang, Sherif Sakr, Anna Liu, and Athman Bouguettaya. "Big Data Processing Systems." In Cloud Data Management, 135–76. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04765-2_9.

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Johnson, Diane. "Implementing a Hybrid Online Analytical Processing (HOLAP) Solution." In Data Management, 747–53. 3rd ed. Boca Raton: Auerbach Publications, 2021. http://dx.doi.org/10.1201/9780429114878-69.

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Köper, Johannes, and Hans Jürgen Zaremba. "Quality and personnel concepts of food-processing SMEs." In Quality Management and Qualification Needs 1, 337–45. Heidelberg: Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-642-57648-5_9.

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Plattner, Hasso. "Parallel Data Processing." In A Course in In-Memory Data Management, 113–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36524-9_17.

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Conference papers on the topic "Personnel management – Data processing"

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Wu, Nan, Chengpo Mu, Kejun Sheng, Huan Liu, Yang He, and Taiye Liu. "Research on personnel data management model based on blockchain." In 2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP). IEEE, 2022. http://dx.doi.org/10.1109/icmsp55950.2022.9859216.

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Al Saffar, Meshaal, and William Knottenbelt. "Cross-Device Privacy-Preserving Personal Digital Information Management Framework." In 2019 First International Conference on Digital Data Processing (DDP). IEEE, 2019. http://dx.doi.org/10.1109/ddp.2019.00019.

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Dokuchaev, V. A., V. V. Maklachkova, D. V. Makarova, and L. V. Volkova. "Analysis of Data Risk Management Methods for Personal Data Information Systems." In 2020 Systems of Signals Generating and Processing in the Field of on Board Communications. IEEE, 2020. http://dx.doi.org/10.1109/ieeeconf48371.2020.9078547.

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Rantos, Konstantinos, George Drosatos, Konstantinos Demertzis, Christos Ilioudis, and Alexandros Papanikolaou. "Blockchain-based Consents Management for Personal Data Processing in the IoT Ecosystem." In International Conference on Security and Cryptography. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006911005720577.

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Rantos, Konstantinos, George Drosatos, Konstantinos Demertzis, Christos Ilioudis, and Alexandros Papanikolaou. "Blockchain-based Consents Management for Personal Data Processing in the IoT Ecosystem." In International Conference on Security and Cryptography. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006911007380743.

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Lewis, Dave, Joss Moorkens, and Kaniz Fatema. "Integrating the Management of Personal Data Protection and Open Science with Research Ethics." In Proceedings of the First ACL Workshop on Ethics in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2017. http://dx.doi.org/10.18653/v1/w17-1607.

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Panaretou, Ioannis, Stavros Hadjithephanous, Corinne Kassapoglou-Faist, Philippe Dallemange, Sofia Louloudi, Dimitrios Karadimas, Christos Panagiotou, Charalampos Kostopoulos, Konstantinos Michail, and Anastasis Kounoudes. "OffshoreMuster: An Integrated Real Time Localisation, Mustering and Evacuation Management System for Offshore Oil & Gas Health and Safety Operations." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207661-ms.

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Abstract Oil & Gas offshore platforms are industrial "towns", ranked among the most hazardous working environments. Emergency situations in such environments are unpredictable and characterized by time pressure and rapidly changing conditions. OffshoreMuster brings together the latest technological advancements in real-time personnel tracking and e-mustering, complementing the existing Health and Safety (HSE) procedures, by enabling situation awareness over personnel location and status which is a key factor supporting better decision-making towards zero casualty in emergency situations. The system's underlying technology, developed after years of dedicated research and development efforts, consists of specialised low-power wireless wearable devices, customised gateways and a secure backbone network infrastructure feeding a modular decision support software system with real-time streams of data for processing and visualisation of information relevant to personnel situation assessment. HSE processes have been transformed into systematic procedures, allowing additional computer-aided decision support features, like the real-time observation of the fire-fighting team response status, the concentration of people in specific areas, instant alerting or the last-known position of a missing person. Lightweight ubiquitous devices in the form of a bracelet or embedded in the uniform are assigned to People on Board (PoB) and periodically transmit real-time location and status awareness data. A network of dedicated gateways, which are placed at specific locations on the platform or vessel, connected through the infrastructure's ethernet or wireless network, relay the data to a central decision support system. Specialised localisation algorithms and data analytics tools process the data to estimate the personnel positions and PoB status information, interactively visualising in real-time location awareness, incident escalation and alerting, which can significantly reduce response time and speed up a safe evacuation procedure. Computer-aided decision support combined with ultra-low power autonomous IoT technologies systems play a significant role in controlling, managing, and preventing critical incidents in harsh working environments, contributing into minimisation of accidents occurrence in Oil & Gas environments. The presented underling technology has been validated in maritime environments with more than 500 people taking part in real drills (TRL-8). The technology has been tailored to enhance the safety of personnel working in offshore Oil & Gas assets, currently being under laboratory testing and evaluation while a full-scale industrial deployment is scheduled for the autumn of 2021. The OffshoreMuster hardware and software components, integrated into a unified solution tailored for the offshore Oil & Gas industry, are presented for the first time. The system has been designed and developed with the support of the European Commission, co-funded by the Fast Track to Innovation Program (Grant Agreement Number 878950).
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Dresie, Steven. "Implementing an Integrated Pipeline Integrity Management System (PIMS): Case Study." In 2012 9th International Pipeline Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ipc2012-90019.

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This case study will examine the implementation of an integrated suite of pipeline integrity management software tools and discuss related challenges during configuration and rollout phases. In this case, pipeline facility data was migrated from paper sources into a centralized database where it is regularly maintained and provides basis for related operations and integrity management components. Existing integrity management procedures and guidelines formed the core specifications for configuration of engineering assessment software tools. Using these documents the software suite now standardizes and automates the processing of ILI data, condition assessment, risk assessment and ECDA (NACE SP0502) management. The system produces a documented integrity plan customized to report specified key performance indicators and is integrated with the enterprise work order management system. The results of the engineering assessments and planning are maintained in the enterprise database and used to power web-based reporting available to a wide range of personnel inside the organization. Challenges include addressing gaps in data, bringing procedural documents and operating groups together, applying the system to existing operations, and ongoing support. This case study is intended for operators considering an integrated pipeline integrity management software solution or looking to improve the system currently in place inside their organization.
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Zaluski, Marvin, Sylvain Le´tourneau, Jeff Bird, and Chunsheng Yang. "Developing Data Mining-Based Prognostic Models for CF-18 Aircraft." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-22944.

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The CF-18 aircraft is a complex system for which a variety of data are systematically being recorded: operational flight data from sensors and Built-In Test Equipment (BITE) and maintenance activities recorded by personnel. These data resources are stored and used within the operating organization but new analytical and statistical techniques and tools are being developed that could be applied to these data to benefit the organization. This paper investigates the utility of readily available CF-18 data to develop data mining-based models for prognostics and health management (PHM) systems. We introduce a generic data mining methodology developed to build prognostic models from operational and maintenance data and elaborate on challenges specific to the use of CF-18 data from the Canadian Forces. We focus on a number of key data mining tasks including: data gathering, information fusion, data pre-processing, model building, and evaluation. The solutions developed to address these tasks are described. A software tool developed to automate the model development process is also presented. Finally, the paper discusses preliminary results on the creation of models to predict F404 No. 4 Bearing and MFC (Main Fuel Control) failures on the CF-18.
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Joseph, Binu Thomas, Roberto Astesani, and Harish Maliekkal. "An Innovative and Intelligent Journey Management System for the Energy Industry." In International Petroleum Technology Conference. IPTC, 2022. http://dx.doi.org/10.2523/iptc-22627-ea.

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Abstract Land transport management remains a significant HSE challenge for any organization involved in energy industry operations. With many remote operational locations and involvement of land transport contractors, achieving sustainable driving performance improvement is reliant on consistent implementation of robust journey management practices. This paper discusses an innovative journey management system app, which provides an intelligent and effective solution incorporating quality control assurance and optimization processes while providing the convenience of digital mobility. The features of this HSE digitally enabled solution include the use of a progressive web app (PWA)and artificial intelligence (AI) engine developed by in-house resources. The PWA was used to develop a user-friendly interface in seven different languages. AI and an interactive drag and drop map feature were introduced to reduce human error in workflow checks and provide functional flexibility. The solution provides corporate and personnel data security for any mobile user, whether internal to the company or contractors. Other incorporated features include an intelligent driver inactivity identifier and a simple to use pre-departure vehicle safety control checklist. The first release of the enhancements to the existing app was provided to approximately 15% of the global journey management mobile app users and additional contractor driver users. Use of the enhanced app is monitored using a dashboard to show adoption rate and trip information data. The app allows drivers to create their own trip in the app, reducing the reliance on company supervisors to create trips for them. In under a year of deployment, by incorporating contractor drivers into the digital journey management process there has been a reduction of 828,000 phone calls and associated manual trip management processing time, replaced by the same number of application transactions. The digital journey management app continues to enable effective and safety journey management processes are maintained in remote operations and pandemic conditions, in addition significant cost savings were achieved. The following are the key innovative functions the mobile apps brings: Flexibility and Security - Provides corporate and personnel data security for all users.Innovative architecture Allows easy app access and intuitive use.Multi-Language Support Enables use in multiple languages.Interactive drag and drop- Incorporated map feature, reduces data entry.Intelligent inactivity identifier- Drivers who have not used the app within a specified time period are automatically provided a refresher of the IOGP life-saving rule video.Safety Control Check User-friendly vehicle inspection checklist for every trip. The adoption and effective use of the new enhancements to the journey management app improve journey management efficiency and ultimately driving safety performance. The app is designed using resilient digital architecture to provide the user with additional features, and an intuitive user experience of these services to reduce the potential for human error in data entry.
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Reports on the topic "Personnel management – Data processing"

1

Clark, R. E. Waste receiving and processing facility module 1 data management system software project management plan. Office of Scientific and Technical Information (OSTI), November 1994. http://dx.doi.org/10.2172/10105127.

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Lemos, Renata, Karthik Muralidharan, and Daniela Scur. Personnel Management and School Productivity: Evidence from India. Research on Improving Systems of Education (RISE), February 2021. http://dx.doi.org/10.35489/bsg-rise-wp_2021/063.

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This paper uses new data to study school management and productivity in India. We report four main results. First, management quality in public schools is low, and ~2σ below high-income countries with comparable data. Second, private schools have higher management quality, driven by much stronger people management. Third, people management quality is correlated with both independent measures of teaching practice, as well as school productivity measured by student value added. Fourth, private school teacher pay is positively correlated with teacher effectiveness, and better managed private schools are more likely to retain more effective teachers. Neither pattern is seen in public schools.
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Rosnick, C. K. Waste Receiving and Processing Facility Module 1 Data Management System software requirements specification. Office of Scientific and Technical Information (OSTI), April 1996. http://dx.doi.org/10.2172/341303.

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Brann, E. C. II. Waste Receiving and Processing Facility Module 1 Data Management System Software Requirements Specification. Office of Scientific and Technical Information (OSTI), September 1994. http://dx.doi.org/10.2172/10186533.

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Palmer, M. E. W-026, Waste Receiving and Processing Facility data management system validation and verification report. Office of Scientific and Technical Information (OSTI), December 1997. http://dx.doi.org/10.2172/345061.

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PALMER, M. E. Waste Receiving & Processing (WRAP) Facility Test Report For Data Management System (DMS) Security Test DMS-F81. Office of Scientific and Technical Information (OSTI), May 2001. http://dx.doi.org/10.2172/807106.

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PALMER, M. E. Waste Receiving and Processing (WRAP) Facility PMS Test Report For Data Management System (DMS) Security Test DMS-Y2K. Office of Scientific and Technical Information (OSTI), September 1999. http://dx.doi.org/10.2172/798056.

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Simmons, Trey. Data quality standards for monitoring stream ecosystems in the Central Alaska Network. National Park Service, 2017. http://dx.doi.org/10.36967/2244207.

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The purpose of this report is to document the standards used by the Central Alaska Inventory and Monitoring Network (CAKN) for activities related to the collection, processing, storage, analysis, and publication of monitoring data as described in the CAKN Stream Monitoring Protocol (Simmons 2017a). The policies and procedures documented in this quality-assurance plan for activities complement the quality-assurance plans for other monitoring activities conducted by the CAKN. The plan also serves as a guide for all CAKN personnel who are involved in protocol/program activities and as a resource for identifying memoranda, publications, and other literature that describe associated techniques and requirements in more detail.
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Modlo, Yevhenii O., Serhiy O. Semerikov, Stanislav L. Bondarevskyi, Stanislav T. Tolmachev, Oksana M. Markova, and Pavlo P. Nechypurenko. Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3677.

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An analysis of the experience of professional training bachelors of electromechanics in Ukraine and abroad made it possible to determine that one of the leading trends in its modernization is the synergistic integration of various engineering branches (mechanical, electrical, electronic engineering and automation) in mechatronics for the purpose of design, manufacture, operation and maintenance electromechanical equipment. Teaching mechatronics provides for the meaningful integration of various disciplines of professional and practical training bachelors of electromechanics based on the concept of modeling and technological integration of various organizational forms and teaching methods based on the concept of mobility. Within this approach, the leading learning tools of bachelors of electromechanics are mobile Internet devices (MID) – a multimedia mobile devices that provide wireless access to information and communication Internet services for collecting, organizing, storing, processing, transmitting, presenting all kinds of messages and data. The authors reveals the main possibilities of using MID in learning to ensure equal access to education, personalized learning, instant feedback and evaluating learning outcomes, mobile learning, productive use of time spent in classrooms, creating mobile learning communities, support situated learning, development of continuous seamless learning, ensuring the gap between formal and informal learning, minimize educational disruption in conflict and disaster areas, assist learners with disabilities, improve the quality of the communication and the management of institution, and maximize the cost-efficiency. Bachelor of electromechanics competency in modeling of technical objects is a personal and vocational ability, which includes a system of knowledge, skills, experience in learning and research activities on modeling mechatronic systems and a positive value attitude towards it; bachelor of electromechanics should be ready and able to use methods and software/hardware modeling tools for processes analyzes, systems synthesis, evaluating their reliability and effectiveness for solving practical problems in professional field. The competency structure of the bachelor of electromechanics in the modeling of technical objects is reflected in three groups of competencies: general scientific, general professional and specialized professional. The implementation of the technique of using MID in learning bachelors of electromechanics in modeling of technical objects is the appropriate methodic of using, the component of which is partial methods for using MID in the formation of the general scientific component of the bachelor of electromechanics competency in modeling of technical objects, are disclosed by example academic disciplines “Higher mathematics”, “Computers and programming”, “Engineering mechanics”, “Electrical machines”. The leading tools of formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects are augmented reality mobile tools (to visualize the objects’ structure and modeling results), mobile computer mathematical systems (universal tools used at all stages of modeling learning), cloud based spreadsheets (as modeling tools) and text editors (to make the program description of model), mobile computer-aided design systems (to create and view the physical properties of models of technical objects) and mobile communication tools (to organize a joint activity in modeling).
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Avis, William. Drivers, Barriers and Opportunities of E-waste Management in Africa. Institute of Development Studies (IDS), December 2021. http://dx.doi.org/10.19088/k4d.2022.016.

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Population growth, increasing prosperity and changing consumer habits globally are increasing demand for consumer electronics. Further to this, rapid changes in technology, falling prices and consumer appetite for better products have exacerbated e-waste management challenges and seen millions of tons of electronic devices become obsolete. This rapid literature review collates evidence from academic, policy focussed and grey literature on e-waste management in Africa. This report provides an overview of constitutes e-waste, the environmental and health impacts of e-waste, of the barriers to effective e-waste management, the opportunities associated with effective e-waste management and of the limited literature available that estimate future volumes of e-waste. Africa generated a total of 2.9 million Mt of e-waste, or 2.5 kg per capita, the lowest regional rate in the world. Africa’s e-waste is the product of Local and imported Sources of Used Electronic and Electrical Equipment (UEEE). Challenges in e-waste management in Africa are exacerbated by a lack of awareness, environmental legislation and limited financial resources. Proper disposal of e-waste requires training and investment in recycling and management technology as improper processing can have severe environmental and health effects. In Africa, thirteen countries have been identified as having a national e-waste legislation/policy.. The main barriers to effective e-waste management include: Insufficient legislative frameworks and government agencies’ lack of capacity to enforce regulations, Infrastructure, Operating standards and transparency, illegal imports, Security, Data gaps, Trust, Informality and Costs. Aspirations associated with energy transition and net zero are laudable, products associated with these goals can become major contributors to the e-waste challenge. The necessary wind turbines, solar panels, electric car batteries, and other "green" technologies require vast amounts of resources. Further to this, at the end of their lifetime, they can pose environmental hazards. An example of e-waste associated with energy transitions can be gleaned from the solar power sector. Different types of solar power cells need to undergo different treatments (mechanical, thermal, chemical) depending on type to recover the valuable metals contained. Similar issues apply to waste associated with other energy transition technologies. Although e-waste contains toxic and hazardous metals such as barium and mercury among others, it also contains non-ferrous metals such as copper, aluminium and precious metals such as gold and copper, which if recycled could have a value exceeding 55 billion euros. There thus exists an opportunity to convert existing e-waste challenges into an economic opportunity.
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