Статті в журналах: "Implementation variables"

1

Cerveny, Robert P., and G. Lawrence Sanders. "Implementation and structural variables." Information & Management 11, no. 4 (November 1986): 191–98. http://dx.doi.org/10.1016/0378-7206(86)90004-2.

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2

Beach, Robert. "Administrative Variables and Microcomputer Implementation:." Computers in the Schools 2, no. 1 (April 26, 1985): 31–46. http://dx.doi.org/10.1300/j025v02n01_05.

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3

Lewis, Brian J., Gregory P. Shea, and Thomas Kvan. "CADD Implementation: Variables Affecting Success." Engineering Management Journal 3, no. 1 (March 1991): 11–18. http://dx.doi.org/10.1080/10429247.1991.11414606.

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4

Abraham, Taiwo, Joo Jung, and Steven R. Lovett. "PMO Longevity & Implementation Phase Variables." Academy of Management Proceedings 2019, no. 1 (August 1, 2019): 18930. http://dx.doi.org/10.5465/ambpp.2019.18930abstract.

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5

Kant, R., and M. D. Singh. "Knowledge management implementation: modelling the variables." International Journal of Innovation and Learning 6, no. 3 (2009): 342. http://dx.doi.org/10.1504/ijil.2009.023295.

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6

Czech, Z. J. "Efficient Implementation of Detection of Undefined Variables." Computer Journal 31, no. 6 (June 1, 1988): 545–49. http://dx.doi.org/10.1093/comjnl/31.6.545.

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7

Brown, James A., and Erik Kane. "APL2 implementation of cross-system shared variables." ACM SIGAPL APL Quote Quad 23, no. 1 (July 15, 1992): 34–39. http://dx.doi.org/10.1145/144052.144072.

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8

McGee, Glenn W. "Social Context Variables Affecting the Implementation of Microcomputers." Journal of Educational Computing Research 3, no. 2 (May 1987): 189–206. http://dx.doi.org/10.2190/t727-0d7l-mew5-bwfq.

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Although technological innovations have been widely adopted in elementary schools, efforts to implement these have generally not been successful. Past research on innovation has largely ignored the social context in which implementation occurs. This research examines how the implementation of the microcomputer is affected by traditional social context variables of socioeconomic status (SES), school size, and grade span as well as by “content specific” social context variables such as the type of computer, the length of time schools have owned computers, and student to computer ratio. Findings from the study of implementation in a random sample of 128 elementary schools indicate that SES and student to computer ratio have a strong, significant impact on the level of computer implementation. SES also interacts with school size and grade span to affect the progress of implementation.

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9

Moisello, Anna Maria. "ABC: Evolution, Problems of Implementation and Organizational Variables." American Journal of Industrial and Business Management 02, no. 02 (2012): 55–63. http://dx.doi.org/10.4236/ajibm.2012.22008.

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10

GonzÁlez-Benito, J., and I. SuÁrez-GonzÁlez. "Effect of organizational variables in JIT purchasing implementation." International Journal of Production Research 39, no. 10 (January 2001): 2231–49. http://dx.doi.org/10.1080/00207540110040457.

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11

Leviton, Laura C., and Ronald O. Valdiserri. "Evaluating AIDS prevention: Outcome, implementation, and mediating variables." Evaluation and Program Planning 13, no. 1 (January 1990): 55–66. http://dx.doi.org/10.1016/0149-7189(90)90009-l.

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12

Chong, Chin Wei, Siong Choy Chong, and Binshan Lin. "Organizational demographic variables and preliminary KM implementation success." Expert Systems with Applications 37, no. 10 (October 2010): 7243–54. http://dx.doi.org/10.1016/j.eswa.2010.04.003.

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13

Tortorella, Guilherme Luz, Diego de Castro Fettermann, Alejandro Frank, and Giuliano Marodin. "Lean manufacturing implementation: leadership styles and contextual variables." International Journal of Operations & Production Management 38, no. 5 (May 8, 2018): 1205–27. http://dx.doi.org/10.1108/ijopm-08-2016-0453.

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Purpose The purpose of this paper is to understand how the association between leadership styles (task or relation orientation) and lean manufacturing (LM) implementation changes due to two contextual variables, team size and the leader’s age. Design/methodology/approach The authors carried out a survey with 225 leaders from different Brazilian companies that are implementing LM. Research constructs were validated through rigorous procedures using confirmatory factor analysis. Hypotheses were tested using ordinary linear least squares regression. Findings The results suggest that larger teams and more senior managers were negatively associated with LM implementation. Task-orientation style makes leaders more likely to achieve higher levels of LM than relation-orientation style leaders. Finally, the influence of relation-oriented leaders on LM implementation is contingent upon the size of the team. Research limitations/implications Regarding study’s limitations, sample size and respondents’ location restrict results to this contextual condition, indicating that increasing the sample would help provide wider and more generalizable results. It is also worth noting that results are based on respondents’ (leaders) perspective. Hence, future studies may collect data from multiple perspectives, such as leaders and their followers, in order to compare results so as to verify the convergence or divergence among different respondents. Practical implications The results suggest that leaders should have different behaviors according to the context in which they are inserted. Therefore, such behavioral prescriptions are useful for managers since they are pressured to achieve high operational performance in short time periods and with few resources. Further, companies undergoing lean implementation may also be able to stimulate proper leadership behaviors and promote development programs accordingly, which is extremely relevant since behavioral changes usually take time. Originality/value The evolutionary process for achieving a successful lean enterprise requires different leadership styles according to the context in which leaders are inserted. This research provides arguments to help better understand the recommended leadership behaviors for lean implementation, complementing existing roadmaps by considering the proper leadership style as a contingency issue during lean implementation. Moreover, identifying the effect of contextual variables helps specify the contexts in which lean practices are more likely to be implemented.

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14

Aragón Hernández, José Luis, Germán Adrían Aguilar Martínez, Ulises Velázquez Ríos, Martín Rubén Jiménez Magaña, and Alejandro Maya Franco. "Distribución espacial de variables hidrológicas. Implementación y evaluación de métodos de interpolación." Ingeniería Investigación y Tecnología 20, no. 2 (April 1, 2019): 1–15. http://dx.doi.org/10.22201/fi.25940732e.2019.20n2.023.

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Las variables hidrológicas, por un lado, presentan una distribución espacial y temporal importante y por el otro son registradas con equipos de medición de forma puntual. Para su empleo en aplicaciones ingenieriles, en ocasiones es necesario considerar su distribución espacial o el valor medio de la zona de estudio; para ello, es necesario utilizar métodos de interpolación de variables, los cuales permiten realizar dichas distribuciones a partir de datos puntuales. Para realizar la distribución espacial de variables hidrológicas se desarrolló un código de cálculo a través de información en formato ASCII, que incorpora tres métodos de interpolación de variables (polígonos de Thiessen, inverso de la distancia y Kriging ordinario); además, permite calcular la precipitación media de la zona de estudio con información distribuida y puntual; esta última con dos métodos tradicionales (aritmético y polígonos de Thiessen), cuyos resultados pueden ser empleados muy fácilmente como insumos en otros modelos, por ejemplo, en modelos lluvia-escurrimiento. Los métodos de interpolación implementados se aplicaron y evaluaron en un dispositivo físico de laboratorio y en una cuenca hidrológica, a través de la precipitación media obtenida con el método de las isoyetas, mediante correlación cruzada y regresión lineal. Además, se evaluó la sensibilidad de dichos métodos en función del tamaño de celda con que se discretiza el área de estudio y también con el exponente en el método del inverso de la distancia; con el método de Kriging ordinario se emplearon tres modelos de variogramas teóricos (exponencial, Gaussiano y esférico), cuyos parámetros se determinaron mediante regresión no lineal. La comparación de los métodos mediante la precipitación media a partir de datos puntuales favorece al método de los polígonos de Thiessen, en cambio, a partir de la información distribuida, el más adecuado es el método inverso de la distancia. Por otra parte, la evaluación de los métodos de interpolación a través de correlación cruzada es liderada por el método de Kriging ordinario.

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15

Irwanto, Jesi, Anisatul Fauziah, Mimin Yatminiwati, Zainul Hidayat, and Mokhamad Taufik. "IMPLEMENTATION OF LINEAR SYSTEM WITH TWO VARIABLES USING GEOMETRY." Humanities & Social Sciences Reviews 8, no. 1 (January 21, 2020): 192–96. http://dx.doi.org/10.18510/hssr.2020.8127.

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Purpose: This study aims to understand the concept of a two-variable linear equation system by presenting material in the form of line drawings in the field of Cartesian, this is because at the 2013 Junior High School Examination National Examination many students received mathematical grades below the standard. Methodology: In constructing the concept of a system of linear equations, two variables in the Cartesian plane are carried out in stages. The first stage is obtained four system concepts of two-variable linear equations which include the concept of a straight line position in the Cartesian plane, the concept of the point position towards intervals in the Cartesian plane, the concept of the point position towards the line am + bn = c, the concept of the relationship of two lines_1 m + b_1 n = c_1 and a_2 m + b_2 n = c_2. Main Findings: The results of this study are the first stage of the concept of four systems of linear equations which include the concept of straight-line position in the cartesian plane, the concept of point position at intervals in the Cartesian plane, the concept of position points with lines, the concept of two-line relations. Applications of this study: This study is applicable to the junior high school level. Novelty/Originality of this study: a) Evaluating data about constants, intervals for variables and, relations of points with lines, relations of two lines. b) It provides data on stage (a) to visualize various lines determine the position of points against the line, intersect two lines. c) Provide a case for related points a and b to students for evaluation.

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16

Collier-Meek, Melissa A., Austin H. Johnson, and Lisa M. H. Sanetti. "Evaluating the Fit of the Ecological Framework for Implementation Variables." Assessment for Effective Intervention 45, no. 1 (June 15, 2018): 14–26. http://dx.doi.org/10.1177/1534508418777848.

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Many teachers struggle to deliver interventions with sufficient treatment integrity, perhaps due to implementation variables that mediate or moderate treatment integrity. Potential implementation variables have frequently been conceptualized in ecological frameworks, including the intervention, implementer, organization, and external environmental levels. Although the ecological framework is a useful organizational tool, a measure aligned with this model of implementation variables has not yet been developed. This article describes the development of the Assessment of Ecological Implementation Influences (AEII), a measure to evaluate implementation variables across ecological levels. Exploratory factor analyses were conducted to evaluate to what extent responses on the AEII reflect the hypothesized ecological factor structure. The model of variables from the intervention to external environment level was not reflected within the factor structure here. Rather, factors emerged that were not previously accounted for in the implementation variables literature. Implications for future research on the measurement of treatment integrity and implementation variables are described.

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17

[REDACTED], [REDACTED]. "Pretreatment Status Variables and Treatment Implementation for Cocaine Misuse: A Latent Variable Structural Model Pilot Study." Substance Use & Misuse 32, no. 14 (January 1, 1997): 2137–50. http://dx.doi.org/10.3109/10826089709035625.

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18

Sorongan, Erick, and Qory Hidayati. "Evaluation of Implementation E-Government with Delone and Mclean." INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi 4, no. 1 (February 8, 2020): 22–37. http://dx.doi.org/10.29407/intensif.v4i1.13067.

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This research intends to analyze and test variables that influence implementation E-government, especially in Balikpapan city. The study uses the information system success model DeLone and McLean which has six main variables that can be used to measure the success rate of information systems. Variables that support the success of e-government that support this research include system quality and information quality as exogenous variables. Furthermore, the use and user satisfaction variables are endogenous variables that also affect the net benefits variable. Based on previous research, service quality variables have not been proven to affect endogenous variables, so the researchers omit these variables. Data collection is done by distributing questionnaires to users of e-government services in Balikpapan City as many as 100 respondents. Data processing methods with Structural Equation Modeling (SEM) using the Smart PLS 3.0 approach. This research proves the R-square value of the dependent variable user satisfaction is 62%, and the net benefit variable is 59.1%, which means that the dependent variable can be explained through independent variables in this research model. Based on the findings in the study, it shows that the quality of the system has an effect on user satisfaction but has no impact on use.

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19

Shtrakov, Slavcho, and Ivo Damyanov. "On the Computational Complexity of Finite Operations." International Journal of Foundations of Computer Science 27, no. 01 (January 2016): 15–38. http://dx.doi.org/10.1142/s0129054116500027.

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The essential variables in a finite function f are defined as variables which occur in f and weigh with the values of that function. The number of essential variables is an important measure of complexity for discrete functions. When replacing some variables in a function with constants the resulting functions are called subfunctions, and when replacing all essential variables in a function with constants we obtain an implementation of this function. Such an implementation corresponds with a path in an ordered decision diagram (ODD) of the function which connects the root with a leaf of the diagram. The sets of essential variables in subfunctions of f are called separable in f. In this paper we study several properties of separable sets of variables in functions which directly affect the number of implementations and subfunctions in these functions. We define equivalence relations which classify the functions of k-valued logic into classes with the same number of: (i) implementations; (ii) subfunctions; and (iii) separable sets. These relations induce three transformation groups which are compared with the lattice of all subgroups of restricted affine group (RAG). This allows us to solve several important computational and combinatorial problems.

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20

Takahashi, Yoshi, and Vadsana Somphon. "Determinants of Training Implementation and Intention in Lao Firms." International Journal of Management Science and Business Administration 2, no. 1 (2014): 2–20. http://dx.doi.org/10.18775/ijmsba.1849-5664-5419.2014.21.1001.

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The present study aims to investigate determinants of training implementation and intention for firms in Lao PDR. In developing countries like Lao PDR in particular, enterprises are increasingly required to be internationally competitive through such efforts as developing human resources to deal with regionalization and globalization. Training is seen as a major way to develop human resources, but it has not yet been implemented intensively enough. Therefore, it is worth investigating the determinants of training in these firms. We utilize data from the Enterprise Survey 2013 by Deutsche Gesellschaft für Internationale Zusammenarbeit and analyze stratified random sample of 658 small and medium enterprises using ordinary least squares (OLS) and logistic regressions. The results are non-uniform among the different dependent variables, such as engagement in vocational training, the existence of training intention for entrepreneurs and employees, and skills variety of training premeditation for employers and employees. For instance, a gender of entrepreneur has a significantly positive effect on training implementation but an insignificant effect on training plan. Education of entrepreneur has an unconvincing effect on training execution but a significantly positive outcome on training will. Some other independent variables show more inconclusive but explainable results (e.g., firm size, competition problems, membership of a business organization, and age of entrepreneur). However, located in Vientiane Capital has a significant effect but firm-age and ethnicity of entrepreneur are insignificant. The results suggest to pay more careful attention to the potential differences among different training-related variables.

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21

Katz, Z., and T. van Niekerk. "Implementation aspects of intelligent machining." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 217, no. 5 (May 1, 2003): 601–13. http://dx.doi.org/10.1243/095440503322011335.

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Intelligent machining is an advanced method in manufacturing, related to the recent developments in reconfigurable manufacturing equipment. A multilevel modular scheme for implementing integrated process monitoring, diagnosis and control is proposed. A PC-based hardware integrated within an object-based software structure is used to manipulate several machining parameters while performing on-line sensing of machining variables, through sampling and processing by means of digital signal processing (DSP). Indirect measurement of machining parameters, surface finish and tool wear monitoring, through the use of neurofuzzy (NF) sensor fusion modelling, is presented as a part of the integrated approach. A fuzzy relation (FR), indicating the nature of the connection between dependent and independent process-related variables, and acting as a knowledge node within a decision-making scheme, determines intelligently the variations in machining parameters when a performance parameter exceeds the predetermined functional limits. Such capability is utilized on-line. The integrated approach for further improvement in machining quality and overall productivity is described.

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22

Wang, Xiao Guang, and Chun Juan Hou. "An Entropy Function Implementation of Quadratic Programming." Applied Mechanics and Materials 226-228 (November 2012): 2227–30. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.2227.

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This paper is intended to describe a new algorithm, which makes entropy function method with Lagrange function and Taylor formula for solving inseparable variables of quadratic programming. Quadratic programming problem are an important in the fields of nonlinear programming problem. Entropy function also called KS function. The nature and related certificate of KS function and its convergence have already been proved at home and abroad. The application of KS function nature for solving quadratic programming is a very good method, and it is one of the advantages of making more constraint programming problem become a single constraint programming problem, and the original problems are simplified. Electing three examples of separated variables for quadratic programming problems, that is cross terms of zero, and then contrasted with the new method. The algorithm resolves implementation of separated variables of quadratic programming. Our numerical experiments show the proposed algorithm is feasible.

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23

Goggin, Malcolm L. "The "Too Few Cases/Too Many Variables" Problem in Implementation Research." Western Political Quarterly 39, no. 2 (June 1986): 328. http://dx.doi.org/10.2307/448302.

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24

Tsai, Wen Hsien, Yi Wen Fan, Jun Der Leu, Li Wen Chou, and Ching Chien Yang. "The relationship between implementation variables and performance improvement of ERP systems." International Journal of Technology Management 38, no. 4 (2007): 350. http://dx.doi.org/10.1504/ijtm.2007.013406.

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25

Goggin, M. L. "The "Too Few Cases/Too Many Variables" Problem in Implementation Research." Political Research Quarterly 39, no. 2 (June 1, 1986): 328–47. http://dx.doi.org/10.1177/106591298603900210.

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26

LeRoy, Stephen F. "IMPLEMENTATION-NEUTRAL CAUSATION." Economics and Philosophy 32, no. 1 (July 20, 2015): 121–42. http://dx.doi.org/10.1017/s0266267115000280.

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Abstract:The most basic question one can ask of a model is ‘What is the effect on variable y2 of variable y1?’ Causation is ‘implementation neutral’ when all interventions on external variables that lead to a given change in y1 have the same effect on y2, so that the effect of y1 on y2 is defined unambiguously. Familiar ideas of causal analysis do not apply when causation is implementation neutral. For example, a cause variable cannot be linked to an effect variable by both a direct path and a distinct indirect path. Discussion of empirical aspects of implementation neutrality leads to further unexpected results, such as that if one variable causes another the coefficient representing that causal link is always identified.

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27

Sekarvilia, Mia, and Karsinah Karsinah. "Implementation of Swadaya Housing Stimulant Assistance." Efficient: Indonesian Journal of Development Economics 3, no. 1 (January 8, 2020): 650–69. http://dx.doi.org/10.15294/efficient.v3i1.35954.

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People who are less fortunate still find it difficult to get access to decent homes. The Government of Indonesia through the Ministry of Public Works and Housing has developed a program that is oriented towards housing development, namely the Self-Help Housing Stimulant Assistance aimed at Low-Income Communities. The purpose of this study is to measure the success of the implementation of Self-Help Housing Stimulant Assistance in Tempuran Village, Bringin District, Semarang Regency. The research method used is descriptive percentage. The type of data used is primary data using a questionnaire. The variables used are program standards and targets, institutional capacity, funding and social and political conditions. The results of the study, the percentage of standard variables and program targets is 73% categorized as successful. The results of the analysis of the percentage of institutional capacity variables that is 73% are categorized successful. The results of the analysis of the percentage of financing variables are 86% until the categorization is very successful. The results of the analysis of the percentage of social and political conditions variables are 44% categorized quite successful. The policy implications, assistance and supervision of the Field Facilitator are needed for the KPB to carry out its development independently, the need for prior notification of the preparation of additional self-funding in the BSPS program by the beneficiary community itself for the completion of the housing construction process, the need for participation from surrounding communities and interest groups who have the opinion that the implementation goes well. Masyarakat yang kurang beruntung masih sulitnya akses untuk mendapatkan rumah layak huni. Pemerintah Indonesia melalui Kementeriann PUPR membuat suatu program yang berorientasi pada pembangunan perumahan yaitu Bantuan Stimulan Perumahan Swadaya ditujukan bagi Masyarakat Berpenghasilan Rendah. Tujuajn penelitian ini adalah untuk mengukur keberhasilan impelementasi Bantuan Stimulan Perumahan Swadaya di Desa Tempuran Kecamatan Bringin Kabupaten Semarang. Metode penelitian yang digunakan adalah deskriptif persentase. Jenis data yang digunakan adalaah data primer dengan menggunakan kuesioner. Variabel yang digunakan adalah standar dan sasaran program, kapasitas kelembagaan, pembiayaan serta kondisi sosial dan politik. Hasil penelitian persentase variabel standar dan sasaran program adalah sebesar 73% dikategorikan berhasil. Hasil analisis persentase variabel kapasitas kelembagaan yaitu 73% dikategorikan berhasil. Hasil analisis persentase variabel pembiayaan adalah 86% sdikategorikan sangat berhasil. Hasil analisi persentase variabel kondisi sosial dan politik adalah 44% dikategorikan cukup berhasil. Implikasi kebijakan, pendampingan dan pengawasan dari Tenaga Fasilitator Lapangan diperlukan agar KPB melakukan pembangunannya secara swadaya, perlunya pemberitahuan terlebih dahulu untuk persiapan dana tambahan swadaya pada program BSPS oleh masyarakat penerima bantuan itu sendiri demi terselesaikannya proses pembangunan rumah, perlunya partisipasi dari masyarakat sekitar serta kelompok kepentingan yang berpengarung agar implementasi berjalan dengan baik.

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28

Magdalinos, Michael A. "Improving Some Instrumental Variables Test Procedures." Econometric Theory 1, no. 2 (August 1985): 240–62. http://dx.doi.org/10.1017/s0266466600011166.

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This paper is concerned with Cornish–Fisher corrections of some instrumental variables test statistics. The tests based on the corrected statistics have size with error of a smaller order of magnitude than the original tests. Symmetric Edgeworth-corrected confidence regions are also defined for the structural parameters. All these corrections are given as analytic formulas that require only limited information, so their implementation is a relatively easy task.

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29

JAUSLIN, H. R. "NUMERICAL IMPLEMENTATION OF A K.A.M. ALGORITHM." International Journal of Modern Physics C 04, no. 02 (April 1993): 317–22. http://dx.doi.org/10.1142/s0129183193000331.

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We discuss a numerical implementation of a K.A.M. algorithm to determine invariant tori, for systems that are quadratic in the action variables. The method has the advantage that the iteration procedure does not produce higher order terms in the actions, allowing thus a systematic control of the convergence.

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30

Patil, Nitin Yashwant, and Ravi M. Warkhedkar. "Knowledge management implementation in Indian automobile ancillary industries." Journal of Modelling in Management 11, no. 3 (August 8, 2016): 802–10. http://dx.doi.org/10.1108/jm2-04-2015-0018.

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Purpose In the past decade, much has been written about knowledge management (KM) in the manufacturing; however, less attention has been paid to the Indian automobile ancillary industries located in Chinchwad, Pune. It is suitable to find out the relationship of the factors of the study. It helps in identifying the hierarchy of factors to be taken, and interlinking of production department with KM improves the productivity of the industries. Categorization of these principles based on their driving power (principles which hold other principles) and dependence (principles which are dependent on other principles) has also been examined for KM implementation to study the driving power and dependence power of these principles. This paper aims to determine the roadmap of KM implementation and categorize KM principles based on their driving power for manufacturing industries with the use of the interpretive structural modeling (ISM)-based model. The results indicate that the principles possessing higher driving power, such as KM, inventory control, quality control, productivity and scheduling and their interlinking. The major contribution of this research lies in the development of contextual relationship among various identified factors of KM and determination of their driving and dependence power through a single systemic framework. Design/methodology/approach In this paper, author find out the suitability ISM for Indian Automobile industries to find the relation among the variables. Findings ISM model has been developed for the hierarchy of the identified KM. As ISM model results a hypothetical hierarchy which needs a proper quantitative analysis to evaluate their percentage effectiveness in the hierarchy. Research limitations/implications It is applied to automobile industries with limited number of variables that will show the dependence variable and driving variables and their interrelations. It can be applied other fields to fine the relationship of variables. Practical implications The ISM may be used in supply chain management and total quality management to find interlinking between the variables. Originality/value The limited data collected from Pimpri Chinchwad industrial area of Pune from Maharashtra state (India).

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31

Gwan-Soo Park, Song-Yop Hahn, Ki-Sik Lee, and Hyun-Kyo Jung. "Implementation of hysteresis characteristics using the Preisach model with M-B variables." IEEE Transactions on Magnetics 29, no. 2 (March 1993): 1542–45. http://dx.doi.org/10.1109/20.250697.

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32

Tirado, Dolores, William Nilsson, Bartolomé Deyà-Tortella, and Celso García. "Implementation of Water-Saving Measures in Hotels in Mallorca." Sustainability 11, no. 23 (December 3, 2019): 6880. http://dx.doi.org/10.3390/su11236880.

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The efficient management of water resources by the tourism sector is essential to be able to achieve sustainability in the future. Hotels, together with other tour operators, have a responsibility not to use more water than is absolutely necessary. Through a survey carried out in hotels on the island of Mallorca, we asked hotel managers about their water consumption and what types of water-saving measures they had introduced. We identified eleven water-saving measures, which were classified into “advanced” and “simple” according to the technical complications and the level of economic investment required. The numbers of measures of each kind that had been implemented were used as the dependent variables in two different Ordered Probit models. This method allowed us to identify the main variables that explain the introduction of water-saving measures. The significant main variables leading hotel managers to adopt simple water-saving initiatives are the existence of laundry facilities, the age of the hotel, and the number of stars. The same variables were found to be important for the introduction of advanced measures. The main drivers for introducing water-saving measures were the reduction in costs, followed by environmental concerns, while legal requirements and customer loyalty were found to be the least important drivers.

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Jacob, Jufri. "Implementation Practices of Public Procurement Plans and Policies." JEJAK 10, no. 2 (September 10, 2017): 398–411. http://dx.doi.org/10.15294/jejak.v10i2.11304.

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Public procurement issues have drawn many concerns and became a public debate because the rules and regulations are constantly reformed and restructured. Public procurement contributions in the world economy are very significant. In Indonesia, according to the Ministry of Finance, public procurement spending for 2009 was 33.4 percent of total government spending. This study aims to determine implementation practices of Public Procurement Plans or Rencana Umum Pengadaan (RUP) in Bitung City. The multiple statistical regression equation is used to process data from 47 respondents from regional apparatus task forces (SKPD) and the results show that the influence of independent variables (X) on dependent variable (Y) is 87.3 percent (R2), while 12.7 percent is influenced by other factors. The result of F-test shows 36.231> F- table 3.21. The calculated probability value is 0.000 which is smaller than 0.05. The partial test (t-test) from 9 independent variables (X) identifies 7 variables that have significant effects on the scores of RUP implementation (Y). The overall results of t-test show that the implementation practices of public procurement plans have significant effects of the higher compliance rates on the output of goods and services.

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Anatolyev, Stanislav, and Alena Skolkova. "Many instruments: Implementation in Stata." Stata Journal: Promoting communications on statistics and Stata 19, no. 4 (December 2019): 849–66. http://dx.doi.org/10.1177/1536867x19893627.

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In recent decades, econometric tools for handling instrumental-variable regressions characterized by many instruments have been developed. We introduce a command, mivreg, that implements consistent estimation and testing in linear instrumental-variables regressions with many (possibly weak) instruments. mivreg covers both homoskedastic and heteroskedastic environments, estimators that are both nonrobust and robust to error nonnormality and projection matrix limit, and parameter tests and specification tests both with and without correction for existence of moments. We also run a small simulation experiment using mivreg and illustrate how mivreg works with real data.

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Jiménez Pérez, Ana Lucía, Kalina Isela Martínez Martínez, and Eunice Vargas Contreras. "Implementation of motivational interview and dropout to treatment." Gaceta Médica de Caracas 129, s1 (May 13, 2021): 138–43. http://dx.doi.org/10.47307/gmc.2021.129.s1.16.

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Dropout is a recurring problem in psychological treatments, generally, it has been attributed to patient variables, however, these effects are probably due to the therapist’s skills, therefore, since the Motivational Interview is a strategy that seeks to increase treatment adherence, it is necessary to evaluate the skills of the therapists. La deserción es un problema recurrente en los tratamientos psicológicos y generalmente se atribuye a variables de los pacientes, sin embargo, probablemente estos efectos se deban a las habilidades del terapeuta, por lo que, al ser la Entrevista Motivacional una estrategia que busca incrementarla adherencia al tratamiento es necesario evaluar las habilidades de los terapeutas.

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Hasibuan, Erlinda Habib, Badaruddin Badaruddin, and Karyono Karyono. "Implementasi Kebijakan E-KTP Dalam Pelayanan Administrasi Kependudukan Kota Padangsidimpuan." PERSPEKTIF 9, no. 2 (July 18, 2020): 465–82. http://dx.doi.org/10.31289/perspektif.v9i2.3951.

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This study aims to determine the implementation of the Electronic Identity Card (e-KTP) policy in the Population and Civil Registry Office of Padangsidimpuan City. In this study using the George C Edward III implementation model that is considered very appropriate and has detailed variables. This study uses a qualitative approach to data collection techniques through observation, interviews, and documentation. Data analysis techniques using data reduction, data presentation, and drawing conclusions. The results of this study indicate, the implementation of the Electronic Identity Card (e-KTP) policy has been running since 2015. However, there are still some problems encountered. Of the 4 variables in the George C Edward III implementation model namely communication, resources, disposition and bureaucrat structure. The results showed that the Disduk Capil Kota Padang Sidempuan only fulfilled 2 variables. The 2 variables are fulfilled namely disposition and bureaucrat structure. While two more variables that are not fulfilled are communication and resources.

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DRURY, D. H., and A. FARHOOMAND. "INNOVATION DIFFUSION AND IMPLEMENTATION." International Journal of Innovation Management 03, no. 02 (June 1999): 133–57. http://dx.doi.org/10.1142/s1363919699000074.

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Economic progress continues to be greatly influenced by the development and adoption of innovations. Maintaining momentum necessitates understanding factors that influence the choices made by organisations. Diffusion and implementation research have each sought to understand necessary conditions and motivations and to identify obstacles. Whether these two areas of research have the same determinants, overlap, or are separate is controversially affecting the interpretation of current research. This issue is the subject of this paper. The empirical investigation compares variables of the diffusion chronology with the choice decision in implementation. This macro-level analysis reveals that the two areas are connected but there are also substantial differences. The results of this study reconfirm the emerging evidence in the literature that the innovation adoption decision should not be treated as a dichotomous organisational choice. Furthermore, the evidence strongly points to the need to develop integrative theories that include the chronological aspects of the innovation adoption process.

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MANILICH, ELENA A., Z. MERAL ÖZSOYOǦLU, VALERIY TRUBACHEV, and TOMAS RADIVOYEVITCH. "CLASSIFICATION OF LARGE MICROARRAY DATASETS USING FAST RANDOM FOREST CONSTRUCTION." Journal of Bioinformatics and Computational Biology 09, no. 02 (April 2011): 251–67. http://dx.doi.org/10.1142/s021972001100546x.

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Random forest is an ensemble classification algorithm. It performs well when most predictive variables are noisy and can be used when the number of variables is much larger than the number of observations. The use of bootstrap samples and restricted subsets of attributes makes it more powerful than simple ensembles of trees. The main advantage of a random forest classifier is its explanatory power: it measures variable importance or impact of each factor on a predicted class label. These characteristics make the algorithm ideal for microarray data. It was shown to build models with high accuracy when tested on high-dimensional microarray datasets. Current implementations of random forest in the machine learning and statistics community, however, limit its usability for mining over large datasets, as they require that the entire dataset remains permanently in memory. We propose a new framework, an optimized implementation of a random forest classifier, which addresses specific properties of microarray data, takes computational complexity of a decision tree algorithm into consideration, and shows excellent computing performance while preserving predictive accuracy. The implementation is based on reducing overlapping computations and eliminating dependency on the size of main memory. The implementation's excellent computational performance makes the algorithm useful for interactive data analyses and data mining.

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Peng, Zhi, Jian Li, and Jun Zhang. "Identifying Variables for Measuring Organizational Performance Relative to QMS Implementation in Chinese Defense Industry." Advanced Materials Research 328-330 (September 2011): 2380–85. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.2380.

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Identifying variables for measuring organizational performance relative to QMS implementation is the basis work for research of relation between QMS and organizational performance. Firstly, by literature analysis empirical researches in commercial industry are reviewed and the main variables are listed that help comparatively identify those in defense industry. Secondly, Chinese defense industry’s market structure, property of defense enterprises and defense product features are systematically analyzed and the preliminary variables for measuring organizational performance relative to QMS implementation are identified. Thirdly, with using Delphi method, those preliminary variables are screened and supplemented. At last, final twelve variables are identified, which are divided into three categories that are quality, innovation and operation. This study contributes not only to test the efficacy of QMS implementation in defense industry, but also to extend and deepen modern quality management theory.

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Foroughi, Abbas, Mehmet Kocakulah, Ann Stott, and Lionel Manyoky. "Activity-Based Costing: Helping Small and Medium-Sized Firms Achieve a Competitive Edge in the Global Marketplace." Research in Economics and Management 2, no. 5 (September 18, 2017): 150. http://dx.doi.org/10.22158/rem.v2n5p150.

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<em>Since the 1970s, Activity-Based Costing (ABC) has enabled companies to identify the true costs of processes and products and to make sound decisions related to the profitability and expense of the products they produce, as well as the effectiveness of their manufacturing and business processes. This paper explores the advantages of activity-based costing vs. traditional costing systems and presents arguments for the potential benefits to the world’s millions of Small to Medium Businesses (SMEs) from implementing ABC. Issues related to the implementation of ABC are discussed. A framework for ABC implementations in SMEs is presented that shows the variables (characteristics of SMEs and implementation challenges) that can impact the ABC implementation process, and/or ultimately, implementation outcomes.</em>

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Belloni Ferrari Furlan, Denise, Mario Mollo Neto, Ricardo César Gonçalvez Sant’ana, Leda Gobbo de Freitas Bueno, Marcelo Marques de Magalhães, and Danilo Florentino Pereira. "Identification of Variables and Information Requirements for Implementation of Traceability in Egg Production." International Journal for Innovation Education and Research 8, no. 9 (September 1, 2020): 119–30. http://dx.doi.org/10.31686/ijier.vol8.iss9.2602.

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Brazil is the 3rd largest egg producer in the Americas and for production to be achieved, it must be organized to produce with quality and productivity. For all quality requirements to be met, guidance documents such as EMBRAPA and the Brazilian Poultry Union cover all stages of the production process, from the origin of the inputs to the later stages of production. In addition to these instructions, other legislation dealing with traceability is used to regulate production processes in food chains. In this context, the objective of this work is to confront the main national and international standards related to traceability to verify common requirements and that can compose a system of data collection. The work was divided into three stages and presented as a result the common requirements: sanitary management in the breeding and rearing phases, lineage, input control, poultry vaccination, poultry feeding, sanitary monitoring, egg collection information, eggs, and biosafety, product description, batch identification, date of shipment and data of the sending company and data of the company of destination, in addition to the information retrieval system.

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Charan, Parikshit, Ravi Shankar, and Rajat K. Baisya. "Analysis of interactions among the variables of supply chain performance measurement system implementation." Business Process Management Journal 14, no. 4 (July 25, 2008): 512–29. http://dx.doi.org/10.1108/14637150810888055.

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Payant, Caroline, and Derek Reagan. "Manipulating task implementation variables with incipient Spanish language learners: A classroom-based study." Language Teaching Research 22, no. 2 (September 26, 2016): 169–88. http://dx.doi.org/10.1177/1362168816669742.

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A growing body of research has shown a positive role of task-supported instruction in second language (L2) learning (Ellis, 2003a; Loewen, 2015; Van Den Branden, 2006). From a pedagogical perspective, recycling or repeating parts of teaching materials is common practice and theoretical support for such practice is emerging (Bygate and Samuda, 2005). However, determining which aspects to repeat during task-supported interaction that fosters interaction-driven learning opportunities while maintaining student interest is currently underexplored. Further, few studies have considered learners’ perception during task completion. The current study thus examined the effects of task repetition on the production and resolution of language-related episodes (LREs) over time. English-speaking (first language, L1) students of Spanish (second language, L2) from two intact Spanish as a foreign language (FL) classroom ( n = 28) were assigned to one of the following task repetition groups: task with repetition (same task/same content) or task with procedural repetition (same task/new content). Learner–learner interaction produced during two-way decision-making tasks were transcribed and coded for LREs. Learner perception data was collected following task completion and analysed qualitatively. The results indicated that the task repetition had greater benefits on the occurrence and resolution of lexis-based LREs, but that both groups benefited similarly in terms of producing and resolving form-based LREs. Results are discussed in light of speech processing models and pedagogical implications for task-based instruction in FL settings are examined.

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Onishi, J., Y. Abe, T. Nonomura, and H. Aono. "Implementation of LW-ACM based on macro variables and its comprehension (First report)." Proceedings of The Computational Mechanics Conference 2016.29 (2016): 4_312. http://dx.doi.org/10.1299/jsmecmd.2016.29.4_312.

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Martinez Vasquez, David Alejandro. "IEEE 1073 Standard implementation to manage and storage corporal variables using mobile devices." IEEE Latin America Transactions 13, no. 3 (March 2015): 835–42. http://dx.doi.org/10.1109/tla.2015.7069112.

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ALBERTI, MARCO, MARCO GAVANELLI, EVELINA LAMMA, PAOLA MELLO, and MICHELA MILANO. "A CHR-based implementation of known arc-consistency." Theory and Practice of Logic Programming 5, no. 4-5 (July 2005): 419–40. http://dx.doi.org/10.1017/s147106840500236x.

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In classical CLP(FD) systems, domains of variables are completely known at the beginning of the constraint propagation process. However, in systems interacting with an external environment, acquiring the whole domains of variables before the beginning of constraint propagation may cause waste of computation time, or even obsolescence of the acquired data at the time of use. For such cases, the Interactive Constraint Satisfaction Problem (ICSP) model has been proposed (Cucchiara et al. 1999a) as an extension of the CSP model, to make it possible to start constraint propagation even when domains are not fully known, performing acquisition of domain elements only when necessary, and without the need for restarting the propagation after every acquisition. In this paper, we show how a solver for the two sorted CLP language, defined in previous work (Gavanelli et al. 2005) to express ICSPs, has been implemented in the Constraint Handling Rules (CHR) language, a declarative language particularly suitable for high level implementation of constraint solvers.

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Walsh, John F. "Crafting Questionnaire-Style Data: An SAS Implementation." Teaching of Psychology 20, no. 3 (October 1993): 188–90. http://dx.doi.org/10.1207/s15328023top2003_19.

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An SAS program permits instructors to provide students with simulated questionnaire-style data for use in courses in statistics and experimental design. The program produces data that approximate the distributions of nominal or categorical variables, rating scale data, and normally distributed scores. The data sets provide a simulated research experience that can be used to incorporate the development of research items as well as their statistical analysis and interpretation.

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Arce-Nazario, Rafael A., Edusmildo Orozco, and Dorothy Bollman. "Reconfigurable Hardware Implementation of a Multivariate Polynomial Interpolation Algorithm." International Journal of Reconfigurable Computing 2010 (2010): 1–14. http://dx.doi.org/10.1155/2010/313479.

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Multivariate polynomial interpolation is a key computation in many areas of science and engineering and, in our case, is crucial for the solution of the reverse engineering of genetic networks modeled by finite fields. Faster implementations of such algorithms are needed to cope with the increasing quantity and complexity of genetic data. We present a new algorithm based on Lagrange interpolation for multivariate polynomials that not only identifies redundant variables in the data and generates polynomials containing only nonredundant variables, but also computes exclusively on a reduced data set. Implementation of this algorithm to FPGA led us to identify a systolic array-based architecture useful for performing three interpolation subtasks: Boolean cover, distinctness, and polynomial addition. We present a generalization of these tasks that simplifies their mapping to the systolic array, and control and storage considerations to guarantee correct results for input sequences longer than the array. The subtasks were modeled and implemented to FPGA using the proposed architecture, then used as building blocks to implement the rest of the algorithm. Speedups up to172×and67×were obtained for the subtasks and complete application, respectively, when compared to a software implementation, while achieving moderate resource utilization.

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Amirkhani, Tayebe, Asal Aghaz, and Alireza Sheikh. "An implementation model of performance-based budgeting." International Journal of Productivity and Performance Management 69, no. 2 (June 3, 2019): 382–404. http://dx.doi.org/10.1108/ijppm-05-2018-0171.

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Purpose The purpose of this paper is to provide a dynamic model for implementing performance-based budgeting (PBB) in Ministry of Health and Medical Education (MOHME) in Iran. Design/methodology/approach The insights from PBB, organizational theory and theory of system were integrated based on system dynamic approach. The primary data were gathered in a two-step process through in-depth interviews and focus groups. The data gathered from the interviews were analyzed using thematic analysis and were considered as a basis for modeling based on system dynamic. The dynamic model was verified in the MOHME of Iran based on the data gathered from the focus group. Findings An analytical implementation model was adopted for the PBB, including comprehensive variables at both external (country) and internal (organizational) levels and accordingly the relationships were established among these variables based on system dynamics (SD). In addition, verifying this model in the MOHME of Iran sets the stage for gaining a deeper understanding of what is required for successful implementation of PBB. Originality/value This paper introduces an efficient modeling methodology based on SD, which explains how soft methodology can be used in management science for designing an implementation model of PBB in healthcare sector of Iran.

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Hu, Wei, and Bing Si. "Technical Note: Improved partial wavelet coherency for understanding scale-specific and localized bivariate relationships in geosciences." Hydrology and Earth System Sciences 25, no. 1 (January 19, 2021): 321–31. http://dx.doi.org/10.5194/hess-25-321-2021.

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Abstract. Bivariate wavelet coherency is a measure of correlation between two variables in the location–scale (spatial data) or time–frequency (time series) domain. It is particularly suited to geoscience, where relationships between multiple variables differ with locations (times) and/or scales (frequencies) because of the various processes involved. However, it is well-known that bivariate relationships can be misleading when both variables are dependent on other variables. Partial wavelet coherency (PWC) has been proposed to detect scale-specific and localized bivariate relationships by excluding the effects of other variables but is limited to one excluding variable and provides no phase information. We aim to develop a new PWC method that can deal with multiple excluding variables and provide phase information. Both stationary and non-stationary artificial datasets with the response variable being the sum of five cosine waves at 256 locations are used to test the method. The new method was also applied to a free water evaporation dataset. Our results verified the advantages of the new method in capturing phase information and dealing with multiple excluding variables. Where there is one excluding variable, the new PWC implementation produces higher and more accurate PWC values than the previously published PWC implementation that mistakenly considered bivariate real coherence rather than bivariate complex coherence. We suggest the PWC method is used to untangle scale-specific and localized bivariate relationships after removing the effects of other variables in geosciences. The PWC implementations were coded with Matlab and are freely accessible (https://figshare.com/s/bc97956f43fe5734c784, last access: 14 January 2021).

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