Literatura científica selecionada sobre o tema "Personnel management – Data processing"
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Artigos de revistas sobre o assunto "Personnel management – Data processing"
Parmar, Jenish, Priti Mehta, Rajvi Patel, Manan Shah e Charmy Kothari. "Raw Data Management and Data Integrity in Pharmaceutical Product Development". Applied Clinical Research, Clinical Trials and Regulatory Affairs 7, n.º 3 (24 de dezembro de 2020): 197–205. http://dx.doi.org/10.2174/2213476x07999200901110354.
Texto completo da fonteBarbara, Anna, Alexander Pimonov e 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.
Texto completo da fonteYusuf, Musa, Faki A. Silas e Salim Haruna. "Implementing Personnel Management System as SaaS". Circulation in Computer Science 3, n.º 5 (30 de julho de 2018): 1–6. http://dx.doi.org/10.22632/ccs-2018-252-86.
Texto completo da fonteTKACHENKO, Serhii, Viacheslav TKACHENKO e Svitlana TKACHENKO. "Optimization of personnel activity of technical and economic data (indicators) analytical processing". Economics. Finances. Law, n.º 12/1 (28 de dezembro de 2019): 6–9. http://dx.doi.org/10.37634/efp.2019.12(1).1.
Texto completo da fonteDittrich, John E., J. Daniel Couger e Robert A. Zawacki. "Perceptions of equity, job satisfaction, and intention to quit among data processing personnel". Information & Management 9, n.º 2 (setembro de 1985): 67–75. http://dx.doi.org/10.1016/0378-7206(85)90028-x.
Texto completo da fontePetrova, Natalya G., e Sarkis G. Pogosyan. "Motivation of medical personnel as an important element of personnel management". Science and Innovations in Medicine 5, n.º 2 (15 de junho de 2020): 105–10. http://dx.doi.org/10.35693/2500-1388-2020-5-2-105-110.
Texto completo da fonteDerevianko, Olena. "Stakeholder engagement to replace traditional activities in Reputation Management System: insights from Ukrainian food processing companies". Problems and Perspectives in Management 16, n.º 4 (6 de dezembro de 2018): 314–30. http://dx.doi.org/10.21511/ppm.16(4).2018.26.
Texto completo da fonteKaur, Barjinder. "Information Management". INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 3, n.º 3 (5 de agosto de 2013): 424–27. http://dx.doi.org/10.24297/ijct.v3i3a.2949.
Texto completo da fonteLiu, He, e Xing Gang Zhang. "Studies and Applies of the Data Mining in the Mathematical Modelling". Applied Mechanics and Materials 347-350 (agosto de 2013): 2360–64. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.2360.
Texto completo da fonteLanda, Jaromír, David Procházka e Jiří Šťastný. "Point cloud processing for smart systems". Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 61, n.º 7 (2013): 2415–21. http://dx.doi.org/10.11118/actaun201361072415.
Texto completo da fonteTeses / dissertações sobre o assunto "Personnel management – Data processing"
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.
Texto completo da fonteHuman 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.
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.
Texto completo da fonteMarazanye, 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.
Texto completo da fonteChitondo, 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.
Texto completo da fonteHealth 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.
Ngai, Kin-fai, e 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.
Texto completo da fonteCeccucci, Wency A. "Decision support systems design: a nursing scheduling application". Diss., Virginia Tech, 1994. http://hdl.handle.net/10919/40303.
Texto completo da fonteHonniger, Werner. "Networking the enterprise : a solution for HBR personnel". Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/16481.
Texto completo da fonteENGLISH 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.
Harmse, Magda Susanna. "Physicians' perspectives on personal health records: a descriptive study". Thesis, Nelson Mandela Metropolitan University, 2016. http://hdl.handle.net/10948/6876.
Texto completo da fonteTsegaye, 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.
Texto completo da fonteVan, 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.
Texto completo da fonteENGLISH 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.
Livros sobre o assunto "Personnel management – Data processing"
CIP 91 (Conference) (London, England). Computers in personnel. London: Institute of Personnel Management (and) Institute of Manpower Studies, 1991.
Encontre o texto completo da fontePersonalinformationssysteme: Einführung und Einsatz in schweizer Grossunternehmen. Frankfurt am Main: Lang, 1998.
Encontre o texto completo da fonteFaisst, Jürgen. Hierarchische Planung unter Einsatz neuronaler Netze: Illustriert an Untersuchungen zum flexiblen Personalmanagement. Heidelberg: Physica, 1993.
Encontre o texto completo da fonteGallagher, M. L. Computers and human resource management. 2a ed. Oxford: Butterworth-Heinemann, 1991.
Encontre o texto completo da fonteL, Gallagher Michael, ed. Computers and human resource management. 2a ed. Oxford: Butterworth Heinemann, 1991.
Encontre o texto completo da fontePC projects for human resource management. 3a ed. Minneapolis/St. Paul: West Pub. Co., 1996.
Encontre o texto completo da fonteBeutell, Nicholas J. PC projects for human resource management. 2a ed. Minneapolis/St. Paul: West Pub. Co., 1993.
Encontre o texto completo da fonteEvans, Alastair. Computers and personnel systems: A practical guide. London: Institute of Personnel Management, 1991.
Encontre o texto completo da fonteTerry, Page, Institute of Manpower Studies, Institute of Personnel Management, CIP 88 (Conference) (London, England) e 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.
Encontre o texto completo da fonteChabot, 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.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Personnel management – Data processing"
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.
Texto completo da fonteRantos, Konstantinos, George Drosatos, Konstantinos Demertzis, Christos Ilioudis, Alexandros Papanikolaou e 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.
Texto completo da fonteBingham, 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.
Texto completo da fonteMannhardt, 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.
Texto completo da fontePearson, William. "Leveraging Checkpoint Processing". In Data Management, 247–55. 3a ed. Boca Raton: Auerbach Publications, 2021. http://dx.doi.org/10.1201/9780429114878-25.
Texto completo da fonteKöper, Johannes, e 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.
Texto completo da fonteZhao, Liang, Sherif Sakr, Anna Liu e 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.
Texto completo da fonteJohnson, Diane. "Implementing a Hybrid Online Analytical Processing (HOLAP) Solution". In Data Management, 747–53. 3a ed. Boca Raton: Auerbach Publications, 2021. http://dx.doi.org/10.1201/9780429114878-69.
Texto completo da fonteKöper, Johannes, e 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.
Texto completo da fontePlattner, 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.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Personnel management – Data processing"
Wu, Nan, Chengpo Mu, Kejun Sheng, Huan Liu, Yang He e 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.
Texto completo da fonteAl Saffar, Meshaal, e 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.
Texto completo da fonteDokuchaev, V. A., V. V. Maklachkova, D. V. Makarova e 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.
Texto completo da fonteRantos, Konstantinos, George Drosatos, Konstantinos Demertzis, Christos Ilioudis e 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.
Texto completo da fonteRantos, Konstantinos, George Drosatos, Konstantinos Demertzis, Christos Ilioudis e 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.
Texto completo da fonteLewis, Dave, Joss Moorkens e 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.
Texto completo da fontePanaretou, Ioannis, Stavros Hadjithephanous, Corinne Kassapoglou-Faist, Philippe Dallemange, Sofia Louloudi, Dimitrios Karadimas, Christos Panagiotou, Charalampos Kostopoulos, Konstantinos Michail e 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.
Texto completo da fonteDresie, 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.
Texto completo da fonteZaluski, Marvin, Sylvain Le´tourneau, Jeff Bird e 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.
Texto completo da fonteJoseph, Binu Thomas, Roberto Astesani e 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.
Texto completo da fonteRelatórios de organizações sobre o assunto "Personnel management – Data processing"
Clark, R. E. Waste receiving and processing facility module 1 data management system software project management plan. Office of Scientific and Technical Information (OSTI), novembro de 1994. http://dx.doi.org/10.2172/10105127.
Texto completo da fonteLemos, Renata, Karthik Muralidharan e Daniela Scur. Personnel Management and School Productivity: Evidence from India. Research on Improving Systems of Education (RISE), fevereiro de 2021. http://dx.doi.org/10.35489/bsg-rise-wp_2021/063.
Texto completo da fonteRosnick, C. K. Waste Receiving and Processing Facility Module 1 Data Management System software requirements specification. Office of Scientific and Technical Information (OSTI), abril de 1996. http://dx.doi.org/10.2172/341303.
Texto completo da fonteBrann, E. C. II. Waste Receiving and Processing Facility Module 1 Data Management System Software Requirements Specification. Office of Scientific and Technical Information (OSTI), setembro de 1994. http://dx.doi.org/10.2172/10186533.
Texto completo da fontePalmer, M. E. W-026, Waste Receiving and Processing Facility data management system validation and verification report. Office of Scientific and Technical Information (OSTI), dezembro de 1997. http://dx.doi.org/10.2172/345061.
Texto completo da fontePALMER, 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), maio de 2001. http://dx.doi.org/10.2172/807106.
Texto completo da fontePALMER, 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), setembro de 1999. http://dx.doi.org/10.2172/798056.
Texto completo da fonteSimmons, Trey. Data quality standards for monitoring stream ecosystems in the Central Alaska Network. National Park Service, 2017. http://dx.doi.org/10.36967/2244207.
Texto completo da fonteModlo, Yevhenii O., Serhiy O. Semerikov, Stanislav L. Bondarevskyi, Stanislav T. Tolmachev, Oksana M. Markova e 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.], fevereiro de 2020. http://dx.doi.org/10.31812/123456789/3677.
Texto completo da fonteAvis, William. Drivers, Barriers and Opportunities of E-waste Management in Africa. Institute of Development Studies (IDS), dezembro de 2021. http://dx.doi.org/10.19088/k4d.2022.016.
Texto completo da fonte