Academic literature on the topic 'Change process'
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Journal articles on the topic "Change process"
Sarvašová, Z., and A. Kaliszewski. "The policy process on climate change." Journal of Forest Science 51, No. 3 (January 10, 2012): 108–14. http://dx.doi.org/10.17221/4549-jfs.
Full textEllis, Donelda J. "Change Process." Nursing Management (Springhouse) 18, no. 4 (April 1987): 14???21. http://dx.doi.org/10.1097/00006247-198704000-00007.
Full textThurston, Janet. "Structure + Process = Change." Journal of Human Lactation 10, no. 2 (June 1994): 76. http://dx.doi.org/10.1177/089033449401000207.
Full textGreenberg, Leslie S. "Change process research." Journal of Consulting and Clinical Psychology 54, no. 1 (1986): 4–9. http://dx.doi.org/10.1037/0022-006x.54.1.4.
Full textNamozovich, Karshiyev Olim. "Dynamics Of Change Of Seed Fluff After Germination Process." American Journal of Applied sciences 02, no. 12 (December 31, 2020): 170–76. http://dx.doi.org/10.37547/tajas/volume02issue12-26.
Full textWheeler, Deborah. "A process of change." Nursing Standard 3, no. 35 (May 27, 1989): 26–27. http://dx.doi.org/10.7748/ns.3.35.26.s54.
Full textBryant. "CLIMATE PROCESS AND CHANGE." Weather and Climate 19 (1999): 37. http://dx.doi.org/10.2307/44279926.
Full textЭпштейн, Дэн. "Scope change control process." Управление проектами и программами 3 (2021): 216–29. http://dx.doi.org/10.36627/2075-1214-2021-3-3-216-229.
Full textSmith, Gregory R., Frank L. Lederman, and Ronald S. Jonash. "Alcoa's Technology Change Process." Research-Technology Management 42, no. 4 (July 1999): 19–25. http://dx.doi.org/10.1080/08956308.1999.11671290.
Full textGross, Stanley J. "The Process of Change." Journal of Humanistic Psychology 34, no. 3 (July 1994): 87–110. http://dx.doi.org/10.1177/00221678940343007.
Full textDissertations / Theses on the topic "Change process"
Kebrlová, Linda. "Change management." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-75417.
Full textRoseborough, LaKisha B. "The Change Process: Curriculum Change from the Teacher's Perspective." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etd/3191.
Full textLake, Danielle L. "Institutions and process /." See Full Text at OhioLINK ETD Center (Requires Adobe Acrobat Reader for viewing), 2006. http://www.ohiolink.edu/etd/view.cgi?toledo1153932677.
Full textSOUZA, PAULO ROBERTO MENEZES DE. "EXECUTIVE COACHING AND BEHAVIORAL CHANGE PROCESS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2011. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=18773@1.
Full textThe arena of business competition is becoming ever faster and organizations need people prepared to lead the necessary adaptations and innovations. Coaching has been occupying a space in an effort to fulfill the mission of supporting the development of skills and behaviors in the Executive, so that companies can pursue their goals. For executives to experience the benefits of the process of coaching is essential that the coachee has clarity and understanding that there are behaviors to improve and a willingness to want to change and persist over time to the desired new behavior becomes a habit. The objective of this study is to analyze the importance and effectiveness of assessing the adaptive capacity and the individual s stage of change at the beginning and end of a coaching program as a strategic step for better assessment and planning process in order to choose more speed and security tools to be used in each case. To meet this goal, using the Stages of Change Scale / MES, which was developed by McConnaughy, Prochaska and Velicer (1983) and the Design Process Coaching, de Souza (2005), were followed eight executives in the process of skills development for three months. The results of this study suggest that executive coaching programs can be even more efficient by using assessment tools such as the Stages of Change Scale. Nevertheless, we can not lose sight that this is a process that requires extreme flexibility according to each case that is being conducted. Therefore it is desirable not to standardize the procedures in a generic way. Some limitations of the model were observed, as discussed in a separate chapter, and some recommendations from other studies and research were also mentioned.
Emond, Matthew W. "Endogenous Process & Designing Through Change." Amherst, Mass. : University of Massachusetts Amherst, 2009. https://scholarworks.umass.edu/theses/300.
Full textBrito, Rafaela Belina Rodrigues de. "Securitizing climate change : process and implications." Master's thesis, FEUC, 2009. http://hdl.handle.net/10316/12089.
Full textFrench, Lynn Erica. "Individual change : the process and strategies." Thesis, Queensland University of Technology, 1994. https://eprints.qut.edu.au/36392/1/36392_French_1994.pdf.
Full textRichardson, Mary Golden. "Power law process models for nonhomogeneous poisson process change-points /." free to MU campus, to others for purchase, 1997. http://wwwlib.umi.com/cr/mo/fullcit?p9840029.
Full textBezuidenhout, Leon Christo. "Detecting change in nonlinear dynamic process systems." Thesis, Stellenbosch : University of Stellenbosch, 2004. http://hdl.handle.net/10019.1/16258.
Full textENGLISH ABSTRACT: As result of the increasingly competitive performance in today’s industrial environment, it has become necessary for production facilities to increase their efficiency. An essential step towards increasing the efficiency of these production facilities is through tighter processes control. Process control is a monitoring and modelling problem, and improvements in these areas will also lead to better process control. Given the difficulties of obtaining theoretical process models, it has become important to identify models from process data. The irregular behaviour of many chemical processes, which do not seem to be inherently stochastic, can be explained by analysing time series data from these systems in terms of their nonlinear dynamics. Since the discovery of time delay embedding for state space analysis of time series, a lot of time has been devoted to the development of techniques to extract information through analysis of the geometrical structure of the attractor underlying the time series. Nearly all of these techniques assume that the dynamical process under question is stationary, i.e. the dynamics of the process did not change during the observation period. The ability to detect dynamic changes in processes, from process data, is crucial to the reliability of these state space techniques. Detecting dynamic changes in processes is also important when using advanced control systems. Process characteristics are always changing, so that model parameters have to be recalibrated, models have to be updated and control settings have to be maintained. More reliable detection of changes in processes will improve the performance and adaptability of process models used in these control systems. This will lead to better automation and enormous cost savings. This work investigates and assesses techniques for detecting dynamical changes in processes, from process data. These measures include the use of multilayer perceptron (MLP) neural networks, nonlinear cross predictions and the correlation dimension statistic.The change detection techniques are evaluated by applying them to three case studies that exhibit (possible) nonstationary behaviour. From the research, it is evident that the performance of process models suffers when there are nonstationarities in the data. This can serve as an indication of changes in the process parameters. The nonlinear cross prediction algorithm gives a better indication of possible nonstationarities in the process data; except for instances where the data series is very short. Exploiting the correlation dimension statistic proved to be the most accurate method of detecting dynamic changes. Apart from positively identifying nonstationary in each of the case studies, it was also able to detect the parameter changes sooner than any other method tested. The way in which this technique is applied, also makes it ideal for online detection of dynamic changes in chemical processes.
AFRIKAANSE OPSOMMING: Dit is belangrik om produksie aanlegte so effektief moontlik te bedryf. Indien nie, staar hulle die moontlikheid van finansiële ondergang in die gesig – veral as gevolg van toenemende mededinging die industrie. Die effektiwiteit van produksie aanlegte kan verhoog word deur verbeterde prosesbeheer. Prosesbeheer is ‘n moniterings en modellerings probleem, en vooruitgang in hierdie areas sal noodwendig ook lei tot beter prosesbeheer. Omdat dit moeilik is om teoretiese proses modelle af te lei, word dit al hoe belangriker om modelle vanuit proses data te identifiseer. Die ongewone optrede van baie chemiese prosesse, wat nie inherent stogasties blyk te wees nie, kan meestal verklaar word deur tydreeks data vanaf hierdie prosesse te analiseer in terme van hul nie-liniêre dinamika. Sedert die ontdekking van tydreeksontvouing vir toestandveranderlike stelsels, is baie tyd daaraan spandeer om tegnieke te ontwikkel wat inligting uit tydreekse kan onttrek deur die onderliggende geometriese struktuur van die attraktor te bestudeer. Byna al hierdie tegnieke aanvaar dat die dinamiese proses stationêr is, m.a.w dat die dinamika van die proses nie verander het tydens die observasie periode nie. Die vermoë om hierdie dinamiese proses veranderinge te kan identifiseer, is daarom baie belangrik. Ook in gevorderde beheerstelsels is vroegtydige identifisering van dinamiese veranderinge in prosesse belangrik. Proses karakteristieke is altyd besig om te verander, sodat model parameters herkalibreer moet word, modelle opgedateer moet word en beheer setpunte onderhou moet word. Meer betroubare tegnieke om veranderinge in prosesse te identifiseer sal die aanpasbaarheid van proses modelle in hierdie beheerstelsels verbeter. Dit sal lei tot beter outomatisering en sodoende lei tot enorme kostebesparings. Hierdie werk ondersoek tegnieke om dinamiese veranderinge in prosesse te identifiseer, deur die analise van proses data. Die tegnieke wat gebruik word sluit die volgende in:multilaag-perseptron neurale netwerke, nie-liniêre kruisvoorspelling statistieke en die korrelasie dimensie statistiek. Die tegnieke is op drie gevallestudies toegepas om te sien of hulle die dinamiese veranderinge in die data kan identifiseer. Vanuit die navorsing is dit duidelik dat proses modelle nadelig beinvloed word deur niestationêre data. Dit kan dien as ‘n indikasie van veranderinge in die proses parameters. Die nie-liniêre kruisvoorspellings algoritme gee ‘n beter indikasie van dinamiese veranderinge in die proses data, behalwe waar die tydreeks baie kort is. Toepassings van die korrelasie dimensie statistiek gee die beste resultate. Hierdie tegniek kon dinamiese veranderinge vinniger as enige ander tegniek identifiseer, en die manier waarop dit gebruik word maak dit ideaal vir die identifisering van dinamiese veranderinge in chemiese prosesse.
Jönsson, Per. "Exploring process aspects of change impact analysis /." Karlskrona : Department of Systems and Software Engineering School of Engineering, Blekinge Institute of Technology, 2007. http://www.bth.se/fou/forskinfo.nsf/allfirst2/64340a1fa4907a74c125738c0046601a?OpenDocument.
Full textBooks on the topic "Change process"
Wang, Qing, Dietmar Pfahl, David M. Raffo, and Paul Wernick, eds. Software Process Change. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11754305.
Full textClimate process & change. Cambridge: Cambridge University Press, 1997.
Find full textOntario. Task Force on the Organization of Work. The Organization change process. [Toronto, Ont.]: The Council, 1994.
Find full textScheer, August-Wilhelm, Ferri Abolhassan, Wolfram Jost, and Mathias F. W. Kirchmer, eds. Business Process Change Management. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-24703-6.
Full textNorth, Douglass Cecil. The process of economic change. Helsinki, Finland: UNU World Institute for Development Economics Research (UNU/WIDER), 1997.
Find full textMorroni, Mario. Production process and technical change. Cambridge [England]: Cambridge University Press, 1992.
Find full textGerth, Christian. Business Process Models. Change Management. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38604-6.
Full textservice), SpringerLink (Online, ed. Business Process Models. Change Management. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Find full textProduction process and technical change. Cambridge: Cambridge University Press, 2009.
Find full textC, Boreham N., Samurçay Renan, and Fischer Martin 1955-, eds. Work process knowledge. New York: Routledge, 2002.
Find full textBook chapters on the topic "Change process"
Jarratt, Timothy, John Clarkson, and Claudia Eckert. "Engineering change." In Design process improvement, 262–85. London: Springer London, 2005. http://dx.doi.org/10.1007/978-1-84628-061-0_11.
Full textJeston, John. "People Change Management." In Business Process Management, 475–503. 5th ed. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003170075-27.
Full textJeffery, Ross. "Exploring the Business Process-Software Process Relationship." In Software Process Change, 11–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11754305_2.
Full textFoster, Marie-Claude. "The change process." In Management Skills for Project Leaders, 155–74. Basel: Birkhäuser Basel, 2001. http://dx.doi.org/10.1007/978-3-0348-8260-6_8.
Full textRolstadås, Asbjørn, Per Willy Hetland, George Farage Jergeas, and Richard E. Westney. "The Change Process." In Risk Navigation Strategies for Major Capital Projects, 67–74. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-594-1_7.
Full textBlanchard, Robert E., and William O. Blackwood. "Change Management Process." In Manprint, 55–93. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0437-8_3.
Full textKing, David R., Florian Bauer, and Svante Schriber. "Process of change." In Mergers and Acquisitions, 27–42. Abingdon, Oxon ; New York, NY : Routledge, 2019. | Series: State of the art in business research, ISSN 2575–4815: Routledge, 2018. http://dx.doi.org/10.4324/9780429469459-4.
Full textKiebusch, Sebastian, Bogdan Franczyk, and Andreas Speck. "Process-Family-Points." In Software Process Change, 314–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11754305_34.
Full textLeeson, Loraine. "Process and Product." In Art : Process : Change, 77–98. New York : Routledge, 2017. |: Routledge, 2017. http://dx.doi.org/10.4324/9781315617527-9.
Full textFarmer, Lesley. "Change Process." In Encyclopedia of E-Leadership, Counseling and Training, 121–37. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61350-068-2.ch010.
Full textConference papers on the topic "Change process"
Stevenson, Duncan. "Training and process change." In the 20th Australasian Conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1517744.1517765.
Full textLacroix, M., and P. Lavency. "The change request process." In SCM: 2nd Intl Workshop on Software Configuration Mgmt. New York, NY, USA: ACM, 1989. http://dx.doi.org/10.1145/72910.73357.
Full textNedstam, J., E. A. Karlsson, and M. Host. "The architectural change process." In Proceedings. 2004 International Symposium on Empirical Software Engineering, 2004. ISESE '04. IEEE, 2004. http://dx.doi.org/10.1109/isese.2004.1334891.
Full textSjogren, P., and B. Fagerstrom. "Structuring the engineering change management process around change carriers." In 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2015. http://dx.doi.org/10.1109/ieem.2015.7385680.
Full textClayton, Derik, and Julie Stuckey. "HASS Rapid Change-Over Process." In 2016 IEEE Accelerated Stress Testing & Reliability Conference (ASTR). IEEE, 2016. http://dx.doi.org/10.1109/astr.2016.7762268.
Full textWallace, G. "Process change management and control." In IEE Symposium on Systems Engineering in Business. IEE, 2000. http://dx.doi.org/10.1049/ic:20000365.
Full textRaghavan, Vasanthan, and Venugopal V. Veeravalli. "Bayesian quickest change process detection." In 2009 IEEE International Symposium on Information Theory - ISIT. IEEE, 2009. http://dx.doi.org/10.1109/isit.2009.5205660.
Full textXue, S., and Y. Yuan. "Sanding Process and Permeability Change." In Canadian International Petroleum Conference. Petroleum Society of Canada, 2004. http://dx.doi.org/10.2118/2004-118.
Full textHorvat, Đuro, and Davor Perkov. "INDIVIDUAL RESISTANCE IN CHANGE PROCESS." In CBU International Conference on Integration and Innovation in Science and Education. Central Bohemia University, 2013. http://dx.doi.org/10.12955/cbup.2013.10.
Full textShao, Yixin, Xudong Zhou, and Sean Monkman. "A New CO2 Sequestration Process via Concrete Products Production." In 2006 IEEE EIC Climate Change Conference. IEEE, 2006. http://dx.doi.org/10.1109/eicccc.2006.277189.
Full textReports on the topic "Change process"
Weck, Philippe, Nichole Fluke, Laura Price, Jeralyn Prouty, Ralph Rogers, David Sassani, and Walter Walkow. OWL Change Control Process. Office of Scientific and Technical Information (OSTI), January 2021. http://dx.doi.org/10.2172/1763925.
Full textNAVAL SURFACE WARFARE CENTER DAHLGREN DIV VA. AEGIS Software Engineering Process Document. Change 3. Fort Belvoir, VA: Defense Technical Information Center, March 1995. http://dx.doi.org/10.21236/ada295624.
Full textNAVAL SURFACE WARFARE CENTER DAHLGREN DIV VA. AEGIS Software Engineering Process Document. Change 4. Fort Belvoir, VA: Defense Technical Information Center, April 1996. http://dx.doi.org/10.21236/ada312275.
Full textOrsagh, Matt. Climate Change Analysis in the Investment Process. CFA Institute, September 2020. http://dx.doi.org/10.2469/47.20.1.1.
Full textGreene, Harold J. The Army Material Requirements Generation Process: A Process in Need of Change. Fort Belvoir, VA: Defense Technical Information Center, April 2003. http://dx.doi.org/10.21236/ada415080.
Full textMankin, A., S. Bradner, R. Mahy, D. Willis, J. Ott, and B. Rosen. Change Process for the Session Initiation Protocol (SIP). RFC Editor, December 2002. http://dx.doi.org/10.17487/rfc3427.
Full textBennett, Winston, Yadrick Jr, and Robert M. Taxonomic Considerations in Organizational Development, Assessment and Process Change,. Fort Belvoir, VA: Defense Technical Information Center, January 1999. http://dx.doi.org/10.21236/ada363964.
Full textCooper, A., and B. Leiba. DISPATCH-Style Working Groups and the SIP Change Process. Edited by B. Campbell. RFC Editor, August 2016. http://dx.doi.org/10.17487/rfc7957.
Full textShoffner, Wilson A. The Military Decision-Making Process Time for a Change. Fort Belvoir, VA: Defense Technical Information Center, January 2000. http://dx.doi.org/10.21236/ada381816.
Full textJett, Timothy, Shea Thompson, and Alan Wing. Realignment and the Process of Change at Naval Postgraduate School. Fort Belvoir, VA: Defense Technical Information Center, December 2003. http://dx.doi.org/10.21236/ada420572.
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