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Journal articles on the topic 'Nteractive models of management'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

Zanfrini, Laura. "Editoriale." SOCIOLOGIA DEL LAVORO, no. 125 (March 2012): 7–29. http://dx.doi.org/10.3280/sl2012-125001.

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Persistent stereotypes and myths of ageing in societies and cultures influence the attitudes and behaviours of leaders and colleagues in social and professional contexts. The aim of this article is to analyse the leader's perception of their own ageing and of the ageing of their employees as well as the attitudes and behaviour of leaders towards individualised, age-related leadership. This research draws on Weber's social closure theory and Luhmann's inclusion/ exclusion theory to explain age discrimination as a cultural process and to understand t he i nfluence o f s tatus a nd p ower o n i n

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2

Tosti, Donald. "Management models." Performance + Instruction 24, no. 8 (1985): 33. http://dx.doi.org/10.1002/pfi.4150240819.

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3

Olena, MATUSOVA, ANDRYEYEVA Victoriya, and AHODZINSKY Viktor. "RISK MANAGEMENT MODELS." Herald of Kyiv National University of Trade and Economics 128, no. 6 (2019): 75–85. http://dx.doi.org/10.31617/visnik.knute.2019(128)07.

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4

Repina, Evgenia, and Lidia Lopatina. "CAMPUS MANAGEMENT MODELS." Innovative Project 1, no. 2 (2016): 104–8. http://dx.doi.org/10.17673/ip.2016.1.02.17.

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5

SHIYOMI, MASAE. "GRASSLAND MANAGEMENT MODELS." Japanese Journal of Biometrics 9, no. 2 (1988): 135–46. http://dx.doi.org/10.5691/jjb.9.135.

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6

Gelders, Prof Ludo F. "Proven management models." European Journal of Operational Research 110, no. 2 (1998): 407. http://dx.doi.org/10.1016/s0377-2217(98)80010-6.

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7

Saunders, R. G. "Proven Management Models." International Journal of Project Management 19, no. 2 (2001): 138. http://dx.doi.org/10.1016/s0263-7863(99)00044-7.

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8

Sensuse, Dana Indra, and Elin Cahyaningsih. "Knowledge Management Models." International Journal of Information Systems in the Service Sector 10, no. 1 (2018): 71–100. http://dx.doi.org/10.4018/ijisss.2018010105.

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Knowledge and knowledge management started to be an option of organizational strategic step for reach organizational objectives and goals. Knowledge management believed to resolve organizational problem in managing their organizational and individual knowledge. Implementation of knowledge management (KM) has received increased interests. This paper aims to discuss KM models based on KM related definitions, concepts, functions, activities and approaches. Literatures on knowledge management models were collected from a number of sources. Each document then was analyzed and categorized in a certa

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9

Essaulenko, Dmitry V., and Sergey A. Shelkovnikov. "Agricultural management models." Economy of agricultural and processing enterprises, no. 3 (2023): 16–19. http://dx.doi.org/10.31442/0235-2494-2023-0-3-16-19.

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The article indicates that, depending on whose interests are put at the forefront, it is possible to talk about political-conjunctural, economic-centric, ecological-centric and homocentric models of agricultural management. In the absence of a comprehensive management model, it is necessary to state numerous and acute conflicts of interests - the state’s goal of increasing agricultural production may meet resistance from environmental organizations, the interest of agricultural workers in wage growth is not expected to find a response in terms of commercial goals of agricultural producers, bec

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10

Carroll, Archie B., and Michael D. Meeks. "Models of Management Morality." Proceedings of the International Association for Business and Society 9 (1998): 479–90. http://dx.doi.org/10.5840/iabsproc1998945.

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11

Kiselyov, Volodymyr, Oleksandr Kosharnyi, and Oleksandr Lanovyi. "ROAD MANAGEMENT FORECASTING MODELS." AUTOMOBILE ROADS AND ROAD CONSTRUCTION, no. 111 (June 30, 2022): 74–84. http://dx.doi.org/10.33744/0365-8171-2022-111-074-084.

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The network of public roads should ensure the movement of people and the exchange of goods and services by providing uniform land access to different places, in addition to ensuring continuous, safe and convenient connections with appropriate socio-economic efficiency. Highways are a public product, important in providing a service to society that brings significant benefits. The road network is the so-called transport infrastructure. The infrastructure in the economic system is a set of elements that ensure the smooth operation of the relationships of the elements of the system. Thus, the inf

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12

Galli, Brian J. "Project Management Maturity Models." International Journal of Applied Logistics 8, no. 2 (2018): 19–38. http://dx.doi.org/10.4018/ijal.2018070102.

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In today's highly dynamic and rapidly changing business landscape, project constraints are continuously increasing regarding cost, time, level of customer satisfaction, and return on investment. Project-related issues are also increasing due to increased complexity, increased number of stakeholders, and extensive parameters. Recently, the project management community has shown interest in developing methodologies for project management to increase success in business organizations. Several project management models are introduced. In this article, different project management maturity models a

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13

Thomas, Patricia. "Case Management Delivery Models." JONA: The Journal of Nursing Administration 39, no. 1 (2009): 30–37. http://dx.doi.org/10.1097/nna.0b013e31818fe7c6.

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14

NAWA, Kotaro. "Copyright management: Three models." Journal of Information Processing and Management 46, no. 10 (2004): 687–88. http://dx.doi.org/10.1241/johokanri.46.687.

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15

Murray, Ellen. "Models of anticoagulation management." Primary Health Care 17, no. 3 (2007): 29–34. http://dx.doi.org/10.7748/phc2007.04.17.3.29.c4400.

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16

Dwyer, G., and P. Kareiva. "Models for Pest Management." Bulletin of the Entomological Society of America 32, no. 3 (1986): 168–70. http://dx.doi.org/10.1093/besa/32.3.168a.

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17

Pilz, Andreas, and Joachim Swoboda. "Network Management Information Models." AEU - International Journal of Electronics and Communications 58, no. 3 (2004): 165–71. http://dx.doi.org/10.1078/1434-8411-54100224.

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18

Rubin, Jeffrey Z. "Models of Conflict Management." Journal of Social Issues 50, no. 1 (1994): 33–45. http://dx.doi.org/10.1111/j.1540-4560.1994.tb02396.x.

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19

Gourko, A. I. "Mental models of management." Proceedings of the Voronezh State University of Engineering Technologies 84, no. 3 (2023): 439–47. http://dx.doi.org/10.20914/2310-1202-2022-3-439-447.

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One of the approaches to creating mental models that allow managers to quickly make decisions in complex multi-valued situations is considered. A stratified description of an economic object is used as a means of consistently deepening the detailing of management considerations, as well as a morphological system analysis to clarify the composition of the components, elements and subsystems of an economic object, identify and analyze the interrelations of components, analyze the integrity of the management system, as well as separate its managed and unmanaged features. An original tabular form

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20

Forcella, Frank, Robert King, Lori Wiles, et al. "BIOECONOMIC WEED MANAGEMENT MODELS." HortScience 28, no. 5 (1993): 512c—512. http://dx.doi.org/10.21273/hortsci.28.5.512c.

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Bioeconomic weed management models integrate the complex interactions of the biology of crops and weeds, efficacies and costs of chemical and mechanical weed control options, and commodity prices of crops. These models enable producers to customize weed management strategies so that weed control and crop yields are optimized while net economic returns are maximized. A prototype model, WEEDSIM, was developed (Swinton & King) for corn and soybean production. It was field-tested for two years in Minnesota. WEEDSIM's recommendations were agronomically equivalent to standard farmer practices, b

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21

Yehorchenkova, Nataliia. "Models of project management in electronic project management." Bulletin of the National Technical University «KhPI» Series: New solutions in modern technologies, no. 9(1285) (April 22, 2018): 112–17. http://dx.doi.org/10.20998/2413-4295.2018.09.16.

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22

Hall, Randolph W. "Discrete models/continuous models." Omega 14, no. 3 (1986): 213–20. http://dx.doi.org/10.1016/0305-0483(86)90040-x.

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23

Kurmanova, D. A., D. R. Sultangareev, and L. R. Khabibullina. "FINANCIAL TECHNOLOGY RISK MANAGEMENT MODELS." Bulletin USPTU Science education economy Series economy 2, no. 32 (2020): 82–91. http://dx.doi.org/10.17122/2541-8904-2020-2-32-82-91.

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Cyber incidents continue to move up in the rating of possible threats and occupy the second position in the ranking of risks in the activities of companies (40 %). Five years ago, they were on the fifteenth line. Like a natural disaster or pandemic, a cyber attack can have a negative impact on hundreds of companies, and the number of such incidents is growing. So-called "cyber incidents",when hackers interfere with the activities of a large number of companies, using the dependencies of their shared Internet infrastructure, occur more often. This reflects the fact that today's world of risk ma

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24

Milne, Richard J. "Pharmacoeconomic Models in Disease Management." Disease Management and Health Outcomes 4, no. 3 (1998): 119–34. http://dx.doi.org/10.2165/00115677-199804030-00001.

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25

Anson, Mark J. P. "Business Models for Asset Management." Journal of Investing 15, no. 2 (2006): 12–18. http://dx.doi.org/10.3905/joi.2006.635624.

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26

Kurmanova, D. A., D. R. Sultangareev, and L. R. Khabibullina. "FINANCIAL TECHNOLOGY RISK MANAGEMENT MODELS." Bulletin USPTU Science education economy Series economy 2, no. 32 (2020): 82–91. http://dx.doi.org/10.17122/2541-8904-2020-2-32-82-91.

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Cyber incidents continue to move up in the rating of possible threats and occupy the second position in the ranking of risks in the activities of companies (40 %). Five years ago, they were on the fifteenth line. Like a natural disaster or pandemic, a cyber attack can have a negative impact on hundreds of companies, and the number of such incidents is growing. So-called "cyber incidents",when hackers interfere with the activities of a large number of companies, using the dependencies of their shared Internet infrastructure, occur more often. This reflects the fact that today's world of risk ma

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27

Smith, David K., Warren Erikson, and Owen Hall Jr. "Computer Models for Management Science." Journal of the Operational Research Society 36, no. 11 (1985): 1080. http://dx.doi.org/10.2307/2582449.

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28

Hollocks, B. W., Alan J. Rowe, Richard O. Mason, Karl E. Dickel, and Peter A. Westcott. "Computer Models for Strategic Management." Journal of the Operational Research Society 39, no. 11 (1988): 1065. http://dx.doi.org/10.2307/2583209.

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29

Worthington, David. "Hospital Waiting List Management Models." Journal of the Operational Research Society 42, no. 10 (1991): 833. http://dx.doi.org/10.2307/2583411.

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30

Wisniewski, Mik, and Owen P. Hall Jr. "Computer Models for Operations Management." Journal of the Operational Research Society 42, no. 9 (1991): 815. http://dx.doi.org/10.2307/2583666.

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31

Doronina, Julia, and Ekaterina Doronina. "Models of IT-Project Management." International Journal of Computer Science and Information Technology 10, no. 5 (2018): 60–72. http://dx.doi.org/10.5121/ijcsit.2018.10506.

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32

Ilin, Igor Vasilievich, and Ekaterina Nikolaevna Azheganova. "Overview of knowledge management models." KANT 40, no. 3 (2021): 20–25. http://dx.doi.org/10.24923/2222-243x.2021-40.4.

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The purpose of the study is to review knowledge management models in an organization in a context of digital transformation, as. The scientific novelty of this article is the comparison of knowledge management models, as in the age of digitization the issue of creating a common knowledge base becomes relevant and the choice of a model depends on its key characteristics. As a result, it is established that for knowledge management initiatives to succeed, digital enterprises should start by examining existing models and approaches and then apply them effectively, IT. is an important intermediary

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33

Japundzic, Milos, and Dragan Jocic. "(s,S) inventory management models." Skola biznisa, no. 2 (2012): 108–18. http://dx.doi.org/10.5937/skolbiz1202108j.

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34

Aboody, Aboody. "Psychology Models of Management Accounting." Foundations and Trends in Accounting 4, no. 2 (2009): 113–98. http://dx.doi.org/10.1561/1400000006.

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35

Luft, Joan. "Psychology Models of Management Accounting." Foundations and Trends in Accounting 4, no. 3–4 (2009): 199–345. http://dx.doi.org/10.1561/1400000015.

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36

Román, Angélica. "Management models in health organizations." Medwave 12, no. 03 (2012): e5329-e5329. http://dx.doi.org/10.5867/medwave.2012.03.5329.

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37

Bakhtadze, Natalia N., Evgeny M. Maximov, Natalia E. Maximova, and Lamara N. Kozlovskaya. "Predictive Models for Agricultural Management." International Journal of Environmental Science and Development 12, no. 7 (2021): 220–25. http://dx.doi.org/10.18178/ijesd.2021.12.7.1343.

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This paper is devoted to the development of predictive models for decision support systems applied in precision farming. Application of predictive models makes it possible to use resources effectively, which reduces the cost of production and increases the efficiency of agricultural production. In addition, the forecast makes it possible to reach a long-term agronomic and ecological effect due to more careful tillage and reduced use of fertilizers. The algorithms using knowledge base for creating models of grain yield are described and the results of applying these models are presented.

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38

Hmielowski, Tracy. "Mental Models for soil management." CSA News 63, no. 8 (2018): 4–5. http://dx.doi.org/10.2134/csa2018.63.0801.

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39

Badawy, Michael K. "Technology Management Education: Alternative Models." California Management Review 40, no. 4 (1998): 94–116. http://dx.doi.org/10.2307/41165966.

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40

Magiera, Frank T. "Business Models for Asset Management." CFA Digest 36, no. 4 (2006): 94–95. http://dx.doi.org/10.2469/dig.v36.n4.4330.

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41

Bulgakova, T. I. "MODELS FOR MIXED FISHERY MANAGEMENT." Problems of fisheries 16, no. 4 (2015): 440–49. http://dx.doi.org/10.36038/0234-2774-2015-16-4-440-449.

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42

Machado, Andreia de Bem, Araci Hack Catapan, and Maria José Sousa. "Management Models for Business Incubators." International Journal of Technology Diffusion 11, no. 2 (2020): 33–44. http://dx.doi.org/10.4018/ijtd.2020040103.

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The primary goal of this research is to do a systematic review about management models for business incubators. Management models are grounded in three basic pillars: people, processes, and technologies. In this scenario, the business incubator management model is fundamental because it is important for business incubators to meet the demands of new entrepreneurs and entrepreneurship. Therefore, the objective of this research is to map the light of the systematic review of business incubator management models on the world stage. To do so, the methodology used was the integrative review of the

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43

Worthington, David. "Hospital Waiting List Management Models." Journal of the Operational Research Society 42, no. 10 (1991): 833–43. http://dx.doi.org/10.1038/sj/jors/0421002.

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44

Giudici, Paolo. "Scorecard models for operations management." International Journal of Data Science 1, no. 1 (2015): 96. http://dx.doi.org/10.1504/ijds.2015.069055.

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45

Vasilev, Julian A. "Duration Models in Loan Management." Folia Oeconomica Stetinensia 15, no. 1 (2015): 114–26. http://dx.doi.org/10.1515/foli-2015-0027.

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Abstract The purpose of this study is to estimate the future duration of a loan contract on the basis of several factors. The main methodology consists of a brief explanation of a survival analysis and a thorough application of a survival analysis in loan management. A real dataset from a credit institution (situated in Varna) is used. All contracts were signed for 30 days but some contracts were ended earlier, others - later. The main research question concerns the following statement. We may try to predict future loan duration by making an econometric model describing the dependency between

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46

Vemuganti, R. R., M. Oblak, and A. Aggarwal. "Network Models for Fleet Management." Decision Sciences 20, no. 1 (1989): 182–97. http://dx.doi.org/10.1111/j.1540-5915.1989.tb01406.x.

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47

Korr, Wynne S., and Lea Cloninger. "Assessing Models of Case Management:." Journal of Social Service Research 14, no. 1-2 (1991): 129–46. http://dx.doi.org/10.1300/j079v14n01_07.

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48

Kasumyan, Rafael E. "Mathematical models in HR management." ACCOUNTING AND CONTROL 12 (2024): 3–7. https://doi.org/10.36871/u.i.k.2024.12.01.001.

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The article is devoted to the fundamentals of human resource management theory and mathematical modeling. It is taken into account that the personnel of a modern organization is characterized as a complex multi-structured formation, which has both qualitative and quantitative characteristics. To ensure the effectiveness of the management process, well-established algorithms, precise procedures, models and other materials are required to be used in the process of planning and forecasting, personnel selection, motivation, development, certification, evaluation of the effectiveness of use, creati

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49

Aleshkin, A. S. "Stochastic Models of Traffic Management." International Journal of Open Information Technologies 12, no. 4 (2024): 15–22. http://dx.doi.org/10.25559/injoit.2307-8162.12.202404.15-22.

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This article discusses the problem of blocking nodes in road networks and percolation thresholds for the transport infrastructure of a modern metropolis. For metropolitan networks, the values of percolation thresholds are calculated and displayed, considering the different density of connections between network nodes. Further, it is shown that the dependence of the values of the percolation thresholds on the network’s density can be described by functional dependencies with a high degree of correlation. The obtained results can be used to assess the reliability of transport infrastructure and

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50

Lin, Shi, and A. V. Bodyako. "Company management systems models evaluation." Vestnik Universiteta, no. 6 (August 16, 2024): 22–30. http://dx.doi.org/10.26425/1816-4277-2024-6-22-30.

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In order to form all elements of company management, it is necessary to choose the right management model that fully corresponds to the peculiarities of the sphere of existence, the personnel’s needs and the activity goals. The purpose of the study is to examine the management systems existing models and evaluate them with regard to their use in Russian companies. Within the framework of the work, theoretical and empirical methods were used to analyze the existing management experience. Studies of Russian and foreign specialists in the field of evaluation of management systems existing models

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