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Journal articles on the topic 'Order evaluation'

Author: Grafiati

Published: 28 June 2021

Last updated: 2 February 2022

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1

OZBASI, Durmus. "Using Rank-order Judgments Scaling to Determine Students’ Evaluation Preferences." Eurasian Journal of Educational Research 19, no. 82 (August 9, 2019): 1–18. http://dx.doi.org/10.14689/ejer.2019.82.4.

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2

Dunfield, Joshua. "Elaborating evaluation-order polymorphism." ACM SIGPLAN Notices 50, no. 9 (December 18, 2015): 256–68. http://dx.doi.org/10.1145/2858949.2784744.

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3

Callaghan, Gill. "Evaluation and Negotiated Order." Evaluation 14, no. 4 (October 2008): 399–411. http://dx.doi.org/10.1177/1356389008095485.

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4

Fraser, Christopher W., and David R. Hanson. "Optimization of argument evaluation order." Information Processing Letters 24, no. 6 (April 1987): 391–95. http://dx.doi.org/10.1016/0020-0190(87)90116-5.

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5

Yang, Ming Hua, Yu Cai Dong, Ling Zhang, Jian Du, and Yan Xia Liu. "Synthetic Evaluation of Equipment Maintenance System Based on TOPSIS Method." Advanced Materials Research 772 (September 2013): 394–98. http://dx.doi.org/10.4028/www.scientific.net/amr.772.394.

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A synthetic evaluation of equipment maintenance system effectiveness based on TOPSIS method is discussed in this article. The synthetic evaluation order of every system are given which can avoid the difficulty in traditional evaluations that regard the multi-evaluation parameters as a single efficiency evaluating value. The article supply a new system to the synthetic evaluation of diesel equipment maintenance system effectiveness.

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6

II, CHARLES G. PETERSEN. "AN EVALUATION OF ORDER PICKING POLICIES FOR MAIL ORDER COMPANIES." Production and Operations Management 9, no. 4 (January 5, 2009): 319–35. http://dx.doi.org/10.1111/j.1937-5956.2000.tb00461.x.

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7

Tian, Jia Ping, Su Na Cao, Jia Xing Du, Ping Chen, and Huan Zhan. "Evaluation of Cyberwar’s Synthetical Ability Based on TOPSIS Method." Applied Mechanics and Materials 615 (August 2014): 286–89. http://dx.doi.org/10.4028/www.scientific.net/amm.615.286.

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A evaluation of cyberwar’s synthetical ability based on TOPSIS method is discussed in this article. The method is a technique for order preference by similarity to ideal solution which can avoid the difficulty in traditional evaluations that regard the multi-evaluation parameters as a single efficiency evaluating value. The article supply a new idea to the evaluation of cyberwar’s synthetical ability.

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8

Bailey, Kenneth, and Peter Tozer. "An Evaluation of Federal Order Reform." Journal of Dairy Science 84, no. 4 (April 2001): 974–86. http://dx.doi.org/10.3168/jds.s0022-0302(01)74556-0.

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9

Bransen, Jeroen, Atze Dijkstra, and S. Doaitse Swierstra. "Incremental evaluation of higher-order attributes." Science of Computer Programming 137 (April 2017): 98–124. http://dx.doi.org/10.1016/j.scico.2016.06.001.

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10

Palmer, Zachary, Theodore Park, Scott Smith, and Shiwei Weng. "Higher-order demand-driven symbolic evaluation." Proceedings of the ACM on Programming Languages 4, ICFP (August 2, 2020): 1–28. http://dx.doi.org/10.1145/3408984.

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11

Andersen, Henning E., and Olav Geil. "Evaluation codes from order domain theory." Finite Fields and Their Applications 14, no. 1 (January 2008): 92–123. http://dx.doi.org/10.1016/j.ffa.2006.12.004.

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12

Peterson, Margaret G. E., and Marcia A. Testa. "Rank order scaling in taste evaluation." Computers and Biomedical Research 19, no. 1 (February 1986): 56–62. http://dx.doi.org/10.1016/0010-4809(86)90006-6.

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13

Ma, Fei, Hong Gu, Wei Hua Xu, and Qin Qin Tao. "Application of Fuzzy Mathematics Model in Evaluating Order Priority." Applied Mechanics and Materials 742 (March 2015): 390–94. http://dx.doi.org/10.4028/www.scientific.net/amm.742.390.

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The method of make-to-order has gradually become the primary mode of production. It is an extremely important ability for enterprises to make production scheduling and response to the changes of customer demand agiely. Therefore, this paper mainly deals with how to evaluating order priority in the mode of make-to-order. For this question, an evaluation index system and a model of fuzzy mathematic system evaluation are established. Through empirical analysis, the model and evaluation system are found feasible and valid.

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14

Yadegari, Davoud, and Soroush Avakh Darestani. "Supplier evaluation with order allocation in mega-projects." Management Research Review 44, no. 8 (February 22, 2021): 1157–81. http://dx.doi.org/10.1108/mrr-04-2020-0220.

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Purpose The purpose of this study is to provide a model for evaluating, prioritizing and allocating orders to suppliers in the supply chain for mega-projects. Design/methodology/approach By using an integrated model (based on fuzzy analytic network process), suppliers are selected and the appropriate amounts are allocated to them in mega-projects. Initially, a hierarchical model of the research method was introduced. Then, the results on reliability and validity analysis of research measurement tools were presented. Finally, prioritization and allocation of orders to suppliers, with a case study of Iran Mall project, was carried out using Decision Making Trial and Evaluation Laboratory (DEMATEL) and analytic network process (ANP). T-test was used to evaluate the research hypotheses. Findings The findings were examined against conventional numerical analysis techniques. Finally, implication and recommendations for future work were presented. Originality/value The originality of this work is about using multi-criteria decision-making techniques for evaluating suppliers in mega-projects.

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15

Courcelle, Bruno, and Teodor Knapik. "The evaluation of first-order substitution is monadic second-order compatible." Theoretical Computer Science 281, no. 1-2 (June 2002): 177–206. http://dx.doi.org/10.1016/s0304-3975(02)00012-9.

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16

Davidson, D. B. "An evaluation of mixed-order versus full-order vector finite elements." IEEE Transactions on Antennas and Propagation 51, no. 9 (September 2003): 2430–41. http://dx.doi.org/10.1109/tap.2003.816350.

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17

Venslavavičiūtė, Raminta, Kęstutis Urbonas, and Vaidotas Šapalas. "ANALYSIS OF SECOND-ORDER EFFECTS EVALUATION OF STEEL FRAMES BEHAVIOUR." Engineering Structures and Technologies 12, no. 1 (September 7, 2020): 8–14. http://dx.doi.org/10.3846/est.2020.13400.

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The evaluation of second-order effects of steel framed structures can provide different analysis results than using linear analysis methods. In various structural engineering literature were distinguished different methods of analysis: taking or without taking into account second-order effects. It depends on the sensitivity to the horizontal actions. The slenderer the structure, the more sensitive it is to horizontal actions. Using nonlinear methods, the sensitivity of steel frame to second-order impact is considered. This paper shows the importance of evaluations of the second-order effects in behaviour of steel frame structures. Performed investigations reveal the influence of the rotational stiffness of the joints to the behaviour of whole framed structure. Calculation results show that decreased flexibility of the semi-rigid joints increase sensitivity of the framed structure to the second-order effects and vice versa. The identified interdependence between the sensitivity to the second-order effects and the flexibility of the semi-rigid joints highlights the importance of evaluation of such dependencies.

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18

IKEDA, Fujio, Atsushi WATANABE, and Seiichi KAWATA. "Evaluation of Errors in Reduced Order Modeling." Transactions of the Society of Instrument and Control Engineers 35, no. 10 (1999): 1261–67. http://dx.doi.org/10.9746/sicetr1965.35.1261.

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19

Petersen, Charles G. "An evaluation of order picking routeing policies." International Journal of Operations & Production Management 17, no. 11 (November 1997): 1098–111. http://dx.doi.org/10.1108/01443579710177860.

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20

Sugawara, M. "Evaluation of finite lowest-order self-energies." Il Nuovo Cimento A 103, no. 8 (August 1990): 1101–11. http://dx.doi.org/10.1007/bf02820537.

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21

Kraut, Eyal, Ioulia Pronina, Hope Yen, Sarah Moore, and Robyn L. Houlden. "Evaluation of a Diabetic Ketoacidosis Order Set." Canadian Journal of Diabetes 41, no. 5 (October 2017): S54. http://dx.doi.org/10.1016/j.jcjd.2017.08.143.

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22

Clark, Alexa, Eyal Kraut, Hope Yen, Sarah Moore, and Robyn Houlden. "Evaluation of a Diabetic Ketoacidosis Order Set." Canadian Journal of Diabetes 42, no. 5 (October 2018): S6. http://dx.doi.org/10.1016/j.jcjd.2018.08.018.

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23

Jiang, Yao-Lin, and Jun-Man Yang. "Asymptotic Waveform Evaluation With Higher Order Poles." IEEE Transactions on Circuits and Systems I: Regular Papers 68, no. 4 (April 2021): 1681–92. http://dx.doi.org/10.1109/tcsi.2021.3052838.

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24

Chan, J., K. G. Shojania, A. C. Easty, and E. E. Etchells. "Usability evaluation of order sets in a computerised provider order entry system." BMJ Quality & Safety 20, no. 11 (July 31, 2011): 932–40. http://dx.doi.org/10.1136/bmjqs.2010.050021.

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25

Cheng, Henan, Siminda Deng, Zhen Zhang, Jingfeng Xiang, Jingwei Ji, Wei Ren, Tang Li, Qiuzhi Qu, Liang Liu, and Desheng Lü. "Uncertainty evaluation of the second-order Zeeman shift of a transportable 87Rb atomic fountain clock." Chinese Optics Letters 19, no. 12 (2021): 120201. http://dx.doi.org/10.3788/col202119.120201.

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26

Ma, Run Bo, Shi Meng Xu, Yu Cai Dong, and Ge Hua Fan. "Comprehensive Evaluation on Weapon System of Main Battle Tank Based on Topsis Method." Advanced Materials Research 538-541 (June 2012): 2949–52. http://dx.doi.org/10.4028/www.scientific.net/amr.538-541.2949.

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An integrated evaluation of the modern main battle tank based on Topsis method is discussed in this article. The method is a technique for order preference by similarity to ideal solution which can avoid the difficulty in traditional evaluations that regard the multi-evaluation parameters as a single efficiency evaluating value. The results show that this mode1 features convenient calculations，high distinguish efficiency and high stability. The article supplies a new system to the comprehensive evaluation of the modern main battle tank.

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27

Sihombing, Urkanus, Hamidah, and Billy Tunas. "Evaluation for education program and basic training for Jakarta public order agency." IJHCM (International Journal of Human Capital Management) 4, no. 1 (June 4, 2020): 42–58. http://dx.doi.org/10.21009/ijhcm.04.01.04.

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This research/evaluation be held for evaluating Evaluation for education program and basic training for Jakarta public order agency in periode 2012 until 2018 which be held by Civil service police and Human Resources Development Agency (Field Study). This evaluation for analising comprehensively to significant several aspect in several stages, which consists of stages1, including aspect : a. Legal foundation, b. Need analysis, c. Purpose, also program targets, and stages2, including aspect: a. Participant, b. Organization structure, c. Program and activities, d. Procedure, e.Guidebook, f. Instructors, g. Administrator/Committee, h. Instructional media, i. Means, infrastructure, and Budget, and stages3, including aspect, a. Participant reaction, b. Learning, c. Behavior, also stages4, which including: a.result, b. Program impact. Qualitative approach used on this research. Primary data, and secunder was obtained through observation, interview, study of document, focus group discussion, with all the credible informants. This evaluation be held by using Stufflebeam model, Context, Input, Process and Product (CIPP). Data analysis trough interactive approach Miles and Huberman in data display activity, data reduction, and drawing conclusion. Research/evaluation result. Evaluation result showing that most aspects in contex stages, input, and process also product, getting good judgment, Which means it's done / available according to criteria, so program recommended need to be developed with adjustment on law No.23 of 2014 about local government and Government regulation No. 16 of 2018 about civil service police which has become the development guidelines of education basic program, technical, and functional civil service police all over Indonesia.

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28

Fossati, Marco. "Evaluation of Aerodynamic Loads via Reduced-Order Methodology." AIAA Journal 53, no. 8 (August 2015): 2389–405. http://dx.doi.org/10.2514/1.j053755.

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29

Ostalczyk, Piotr, and Piotr Duch. "On a Real-Time First-Order Difference Evaluation." Image Processing & Communications 17, no. 4 (December 1, 2012): 167–71. http://dx.doi.org/10.2478/v10248-012-0043-x.

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Abstract A subject of this paper is a real-time evaluation of the first-order backward difference of a measured signal with noise. It is wellknown that a difference evaluation strongly increase a noise amplitude so the signal prefiltering is necessary. A very short review of practically used filters is given. To perform the pre-filtering operation one mainly apply linear filters characterized by their impulse response shape: finite impulse response (FIR) and infinite impulse response (IIR). To enhance the filtering operation one successfully apply so called adaptive filters and these described by non-linear characteristics. In this paper a simple non-linear filtering algorithm is proposed and examined in the first-order backward difference of a measured signal.

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30

Manzini, Massimo, and Marcello Urgo. "Critical Components Evaluation in Manufacturing-To-Order Processes." Procedia CIRP 37 (2015): 146–51. http://dx.doi.org/10.1016/j.procir.2015.08.046.

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31

Willow, Soohaeng Yoo, Kwang S. Kim, and So Hirata. "Stochastic evaluation of second-order Dyson self-energies." Journal of Chemical Physics 138, no. 16 (April 28, 2013): 164111. http://dx.doi.org/10.1063/1.4801862.

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32

Cleary, John D., Jerry W. Taylor, and Ratnel L. Nolan. "Automatic Stop-Order Procedure for Antibiotics Needs Evaluation." American Journal of Health-System Pharmacy 48, no. 12 (December 1, 1991): 2602. http://dx.doi.org/10.1093/ajhp/48.12.2602.

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33

Anh, V. V., N. N. Leonenko, and L. M. Sakhno. "Evaluation of bias in higher-order spectral estimation." Theory of Probability and Mathematical Statistics 80 (2010): 1. http://dx.doi.org/10.1090/s0094-9000-2010-00790-3.

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34

Yoshida, A., H. Suzuki, S. Hasuo, K. Tanabe, T. Himi, H. Takai, F. Furuta, and K. Saitoh. "Evaluation of superconducting first-order sigma-delta modulator." Physica C: Superconductivity and its Applications 445-448 (October 2006): 1037–40. http://dx.doi.org/10.1016/j.physc.2006.05.097.

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35

Moore, M. N. J., L. J. Gray, and T. Kaplan. "Evaluation of supersingular integrals: second-order boundary derivatives." International Journal for Numerical Methods in Engineering 69, no. 9 (2007): 1930–47. http://dx.doi.org/10.1002/nme.1835.

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36

Harajli, M., N. Khairallah, and H. Nassif. "Externally Prestressed Members: Evaluation of Second-Order Effects." Journal of Structural Engineering 125, no. 10 (October 1999): 1151–61. http://dx.doi.org/10.1061/(asce)0733-9445(1999)125:10(1151).

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37

Kulkarni, Prasad A., David B. Whalley, Gary S. Tyson, and Jack W. Davidson. "Practical exhaustive optimization phase order exploration and evaluation." ACM Transactions on Architecture and Code Optimization 6, no. 1 (March 30, 2009): 1–36. http://dx.doi.org/10.1145/1509864.1509865.

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38

Hofer-Dückelmann, C., E. Prinz, W. Beindl, K. Berger, G. Fellhofer, J. S. Mutzenbach, and J. Schuler. "Evaluation of a computerised physician order entry system." European Journal of Hospital Pharmacy 19, no. 2 (March 12, 2012): 134.2–135. http://dx.doi.org/10.1136/ejhpharm-2012-000074.131.

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39

Robbins, D. J., A. J. Almquist, D. C. Timm, J. I. Brand, and R. E. Gilbert. "Experimental Evaluation of Nonisothermal, First-Order Reaction Kinetics." Macromolecules 28, no. 26 (December 1995): 8729–34. http://dx.doi.org/10.1021/ma00130a004.

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40

Arntzenius, Michael, and Neel Krishnaswami. "Seminaïve evaluation for a higher-order functional language." Proceedings of the ACM on Programming Languages 4, POPL (January 2020): 1–28. http://dx.doi.org/10.1145/3371090.

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41

Burns, Tom, Jorun Rugkasa, and Andrew Molodynski. "The Oxford Community Treatment order Evaluation Trial (OCTET)." Psychiatric Bulletin 32, no. 10 (October 2008): 400. http://dx.doi.org/10.1192/pb.bp.108.022814.

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42

Banks, H. T., Michele L. Joyner, Buzz Wincheski, and William P. Winfree. "Nondestructive evaluation using a reduced-order computational methodology." Inverse Problems 16, no. 4 (June 14, 2000): 929–45. http://dx.doi.org/10.1088/0266-5611/16/4/304.

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43

Benjamin Rohit et al.,, Benjamin Rohit et al ,. "Model Order Reduction of Bolting and Feasibility Evaluation." International Journal of Mechanical and Production Engineering Research and Development 7, no. 5 (2017): 215–22. http://dx.doi.org/10.24247/ijmperdoct201723.

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44

Sande, Sverre A., and Jan Karlsen. "Evaluation of reaction order. Software in pharmaceutics: III." International Journal of Pharmaceutics 98, no. 1-3 (August 31, 1993): 209–18. http://dx.doi.org/10.1016/0378-5173(93)90058-n.

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45

Sa, Yongjin. "Flexible Work Arrangements Program Implementation Evaluation." Advances in Social Sciences Research Journal 8, no. 5 (May 11, 2021): 63–70. http://dx.doi.org/10.14738/assrj.85.10154.

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This research primarily focuses on construction of the program evaluation proposal for the flexible work arrangements. In order to make the program evaluation design, this paper specifically discusses evaluation questions and data collection analysis regarding three kinds of evaluations including needs assessment, implementation evaluation, formative evaluation, and summative evaluation. Furthermore, the expected positive effects and main functions of the flexible work arrangements program evaluation are also suggested.

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46

Chatterjee, Swagato. "Order of justice in queues of emerging markets." Journal of Consumer Marketing 37, no. 6 (May 8, 2020): 605–16. http://dx.doi.org/10.1108/jcm-04-2019-3178.

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Purpose Extant literature on queuing has identified service queues as social systems where social justice is an important factor for service evaluation. First-order justice, defined as a first-come first-served (FCFS) process, has been found to be a necessary condition of social justice and positive evaluation. Second-order justice, defined as equal waiting time, has been found to be an additional factor which comes into play only when first-order justice is met. This paper aims to show that in the emerging market situation, the above definitions of justice and the order mentioned above does not work. Design/methodology/approach Instead of equal wait, the study has focused on equitable wait, i.e. waiting duration is in sync with the service needs. Three experiments have been performed to establish the hypotheses suggested. Findings FCFS is found not to be the necessary condition as it was in the extant literature and can be relaxed sometimes to get higher service evaluation by ensuring justice from the equitable wait. The study also portrays the interaction effects of the two types of social justice on service evaluation. Moreover, the impact of justice from equitable wait on service evaluations is found to be moderated by perceived personal connect of the service provider and the consumer, perceived importance of system and process and perceived ability of the service provider of capacity improvement and mediated by perceived control of service provider on providing the justice of equitable wait. Research limitations/implications The study contributes toward the understanding of social justice in service queues. It also contributes to the literature of attribution theory and consumer betrayal. Practical implications The study provides suggestions to retail managers in emerging markets to choose queue management strategies depending on the size of the retail shops and consumers’ expectations from them. Originality/value The study introduces the concept of justice from the equitable wait, which is original in the queuing literature to the best of the author’s knowledge. The study also finds a new order of justice in the emerging market scenario.

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47

Schmidt-Abbey, Barbara, Martin Reynolds, and Ray Ison. "Towards systemic evaluation in turbulent times – Second-order practice shift." Evaluation 26, no. 2 (April 2020): 205–26. http://dx.doi.org/10.1177/1356389020909120.

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The need for, and possibilities of, a second-order shift in evaluation practice are explored. Second-order evaluation practice enables an evaluator to improve practice as a skilled practitioner, acknowledging her embeddedness within an evaluand. The article explores evaluation practice as experienced by professional evaluators, using ideas from developmental evaluation coupled with systemic evaluation in the tradition of systems thinking in practice. Systemic evaluation aims to capture systemic sensibilities – the bigger picture – of complex turbulent situations of change underpinning evaluands. Attributes of second-order practice with systemic evaluation are understood as being aligned with both systemic and systematic modes of evaluation praxis. Personal experiences are provided where this juxtaposing praxis has been found wanting. By example, a systems thinking in practice framework is explored as heuristic support for making a second-order practice shift. The article concludes with a discussion of some implications for developments in professionalising evaluation practice and research.

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48

Yan, Li, Qing Chen, and Rui Qing Hao. "Order Parameters Evaluation Indexes and Quantitative Analysis Model on Order Degree of Manufacturing System." Advanced Materials Research 411 (November 2011): 403–6. http://dx.doi.org/10.4028/www.scientific.net/amr.411.403.

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In order to describe the evolution of the manufacturing system from disorder to order, the order parameters of synergetic is applied. According to the basic features and selection principles of the order parameters, the order parameter of manufacturing system and the order parameter evaluation index system are put. On this basis, the quantitative analysis model on order degree of manufacturing system is proposed. The order degree of manufacturing system according to the statistical data from year 2000 to 2008 in China is taken out. The results show that the order degree of the manufacturing system in China which gradually and orderly develops to the benign direction is increasing year by year. It conforms to the current situation of manufacturing industry in China.

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49

Caminati, Marco. "First Order Languages: Further Syntax and Semantics." Formalized Mathematics 19, no. 3 (January 1, 2011): 179–92. http://dx.doi.org/10.2478/v10037-011-0027-0.

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First Order Languages: Further Syntax and SemanticsThird of a series of articles laying down the bases for classical first order model theory. Interpretation of a language in a universe set. Evaluation of a term in a universe. Truth evaluation of an atomic formula. Reassigning the value of a symbol in a given interpretation. Syntax and semantics of a non atomic formula are then defined concurrently (this point is explained in [16], 4.2.1). As a consequence, the evaluation of any w.f.f. string and the relation of logical implication are introduced. Depth of a formula. Definition of satisfaction and entailment (aka entailment or logical implication) relations, see [18] III.3.2 and III.4.1 respectively.

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50

Silva, Eliabe Bezerra de Oliveira. "Evaluation of School Learning: The Pedagogical Alignment of Evaluation Practices." Amadeus International Multidisciplinary Journal 1, no. 2 (March 13, 2017): 17. http://dx.doi.org/10.14295/aimj.v1i2.10.

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This article deals with the relation between evaluation of school performance and other types of evaluation. The purpose of this paper is not to propose internal school evaluation as the central axis in the teaching-learning process, considering the ethical, political, pedagogical and social aspects throughout the evaluation process. The method was the direct observation of the evaluation routines, in state schools of Juazeiro do Norte-Ceará. Bibliographic research was also used to interpret the content. The arguments were constructed in order to renew the discussion on the subject, making possible new relations. The results led us to believe that the pedagogical alignment of school evaluation with other types of evaluation is an essential tool within a systemic view of education. There are interchangeable relations between these evaluations, with implications in the relations among the social actors, in a quest for social equity. Therefore, the bases of school evaluation tend to change, starting from an ethical and political stance, that begin at the local level, within the school. All forms of evaluation, internal and eternal, should contribute to consolidate the circle of communication between the social actors involved in schooling and to "feed" an information network in order to support more effective public education policies.

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