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Journal articles on the topic 'Improvement of decision-making'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Dilshod Qizi, Murotjonova Mubina. "MANAGEMENT DECISION-MAKING AND IMPROVEMENT METHODS." International Journal of Advance Scientific Research 03, no. 05 (2023): 47–54. http://dx.doi.org/10.37547/ijasr-03-05-08.

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The nature of solutions in economic management is directly related to management decisions. The highest efficiency of economic activity can be achieved by choosing the right management decisions. Also, the correct adoption and timely execution of production, technical tasks, social, economic and legal decisions is the most important factor in achieving economic efficiency. This article talks about management methods and management decisions, effectiveness of management activities, problematic situations in economic management and their solutions.

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Lamp, Sandy A., Kathleen M. Hargiss, and Caroline Howard. "Information Technology Process Improvement Decision-Making." International Journal of Strategic Information Technology and Applications 3, no. 2 (2012): 18–35. http://dx.doi.org/10.4018/jsita.2012040102.

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This article is derived from a qualitative multicase study with two settings that explored the way decisions are made in two IT organizations regarding process improvement initiatives by using face-to-face semi-structured interviews with 20 IT process owners and managers. The two participating organizations are a healthcare insurance company and a manufacturer of electronic interconnects. The study sought to uncover (a) how IT process improvements are prioritized and how approvals are attained, (b) how senior leadership is involved in decision making, (c) how security and risk are considered,

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Warren, Jamie B., and Nikki Wiggins. "Shared Decision Making in Neonatal Quality Improvement." Journal of Perinatal & Neonatal Nursing 30, no. 3 (2016): 237–39. http://dx.doi.org/10.1097/jpn.0000000000000194.

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Burkett, Holly. "Performance improvement designs for enhanced decision making." Performance Improvement 50, no. 2 (2011): 2. http://dx.doi.org/10.1002/pfi.20194.

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MANN, LEON, GERY BESWICK, PIERRE ALLOUACHE, and MARY IVEY. "Decision Workshops for the Improvement of Decision-Making Skills and Confidence." Journal of Counseling & Development 67, no. 8 (1989): 478–81. http://dx.doi.org/10.1002/j.1556-6676.1989.tb02122.x.

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Saputra, Bella Meilia, Dwi Deswary, and Eliana Sari. "Hubungan antara Pengambilan Keputusan dengan Perilaku Kontraproduktif Guru SMP Negeri di Kota Bekasi." IMPROVEMENT Jurnal Ilmiah untuk peningkatan mutu manajemen pendidikan 4, no. 1 (2017): 84. http://dx.doi.org/10.21009/improvement.04110.

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This study aims to determine the relationship between decision making and counterproductive behavior Junior High School teacher in Bekasi. The method used is survey method with the correlational studies and quantitative approaches. Samples were as many as 94 teachers. Sampling using simple random sampling by the formula Slovin and data collection using the questionnaires. From the results of the hypothesis testing, obtained tcount equal to 2,10, which means bigger than ttable 1,986. Thus, the alternative hypothesis (Ha) are accepted positively. Of the coefficient of determination, decisionmaki

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Ahmadpour, Ahmad. "The Improvement of Governance Decision Making Using XBRL." International Journal of E-Business Research 7, no. 2 (2011): 11–18. http://dx.doi.org/10.4018/jebr.2011040102.

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eXtensible Business Reporting Language (XBRL) has the potential to influence users’ processing of financial information and their judgments and decisions. XBRL is an eXtensible Markup Language (XML)-based language, developed specifically for financial reporting. XBRL, as a search-facilitating technology, contributes to direct searches and simultaneous presentation of related financial statement, and facilitates processing footnote information which could help financial statements’ users. XBRL is more than a distribution mechanism for data or facilitating technology. XBRL has the potential to s

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Xie, Tian, Xuwei Tan, and Xueru Zhang. "Algorithmic Decision-Making under Agents with Persistent Improvement." Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 7 (October 16, 2024): 1672–83. http://dx.doi.org/10.1609/aies.v7i1.31756.

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This paper studies algorithmic decision-making under human strategic behavior, where a decision-maker uses an algorithm to make decisions about human agents, and the latter with information about the algorithm may exert effort strategically and improve to receive favorable decisions. Unlike prior works that assume agents benefit from their efforts immediately, we consider realistic scenarios where the impacts of these efforts are persistent and agents benefit from efforts by making improvements gradually. We first develop a dynamic model to characterize persistent improvements and based on thi

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Julian Purba, Dedi Alfa, Wati Asriningsih Pranoto, and Mark Setiadi. "Decision making analysis for water distribution improvement projects." IOP Conference Series: Materials Science and Engineering 1007 (December 31, 2020): 012011. http://dx.doi.org/10.1088/1757-899x/1007/1/012011.

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10

Kalra, S., B. Kalra, A. Sharma, and S. Saluja. "Shared decision making in osteoporosis: Improvement through education." Bone 44 (May 2009): S81—S82. http://dx.doi.org/10.1016/j.bone.2009.01.182.

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Kalra, S., B. Kalra, A. Sharma, and S. Saluja. "Shared decision making in osteoporosis: Improvement through education." Bone 44 (June 2009): S444. http://dx.doi.org/10.1016/j.bone.2009.03.409.

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12

Leimer, Christina. "Organizing for Evidence-Based Decision Making and Improvement." Change: The Magazine of Higher Learning 44, no. 4 (2012): 45–51. http://dx.doi.org/10.1080/00091383.2012.691865.

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13

Galli, Brian J., and Gabrielle Battiloro. "Using Economic Decision-Making Tools in Continuous Improvement Environments." International Journal of Strategic Engineering 3, no. 1 (2020): 36–50. http://dx.doi.org/10.4018/ijose.2020010103.

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This study presents an integrated approach in the effect of using economic decision tools in continuous improvement. Some of the economic decision-making tools have limitations, which hinder managers when trying to reach the right decision. This study presents the idea of continuous improvement to eliminate the negative impact of the decision-making tools. Well-defined strategies, quality related issues, and economic analysis tools were used in our approach to deeply examine the hidden issues and impact of implementing the decision-making tools in continuous improvement. In addition, it explor

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14

Ben-Yair, Avner, Dimitri Golenko-Ginzburg, and Zohar Laslo. "HARMONIZED DECISION‐MAKING IN MANAGING RELIABILITY AND SAFETY." Journal of Business Economics and Management 6, no. 1 (2005): 43–51. http://dx.doi.org/10.3846/16111699.2005.9636091.

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A hierarchical technical system functioning under random disturbances and being subject to critical failures at the bottom level which may result in an accident or a hazardous condition including environmental safety violations at the upper level is considered. Certain primary elements at the bottom level, together with their corresponding primary failures, can be refined by undertaking technical improvement. The list of the latter is pre‐given as well. Assume that by means of simulation modeling (SM) it is possible to evaluate the increment of the system's reliability by implementing any set

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YU, Xiaohan, Zeshui XU, and Shousheng LIU. "SYSTEMATIC DECISION MAKING: A EXTENDED MULTI-CRITERIA DECISION MAKING MODEL." Technological and Economic Development of Economy 23, no. 1 (2017): 157–77. http://dx.doi.org/10.3846/20294913.2016.1212121.

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Considering some complex multi-criteria decision making (MCDM) problems, in which decision environment is dynamic, there are various interdependences among criteria, and plans (systematized alternatives) consisting of multiple time sequential interdependent actions, cannot be well handled by means of the existing MCDM methods, therefore, we develop a systematic decision making (SDM) as an improvement and supplement of the classic MCDM in this paper. The SDM is for prescribing methods of evaluating and selecting the most favourite plan (a system) from a group of feasible ones concerning influen

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Simons, Pascale, Jos Benders, Jochen Bergs, Wim Marneffe, and Dominique Vandijck. "Has Lean improved organizational decision making?" International Journal of Health Care Quality Assurance 29, no. 5 (2016): 536–49. http://dx.doi.org/10.1108/ijhcqa-09-2015-0118.

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Purpose – Sustainable improvement is likely to be hampered by ambiguous objectives and uncertain cause-effect relations in care processes (the organization’s decision-making context). Lean management can improve implementation results because it decreases ambiguity and uncertainties. But does it succeed? Many quality improvement (QI) initiatives are appropriate improvement strategies in organizational contexts characterized by low ambiguity and uncertainty. However, most care settings do not fit this context. The purpose of this paper is to investigate whether a Lean-inspired change program ch

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Jabla, Roua, Maha Khemaja, and Sami Faiz. "Decision-making Improvement in Dynamic Environments Using Machine Learning." Journal of Human, Earth, and Future 3, no. 1 (2022): 55–68. http://dx.doi.org/10.28991/hef-2022-03-01-04.

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The proliferation of ubiquitous computing with smartphones makes context models and information extremely rich and dynamic on account of highly dynamic environments. However, defining rules at design time may impair their efficiency and the decision-making process at runtime. Therefore, it is important to address decision-making problems leveraged by dynamic environments and context-model evolution. In this sense, a solution that could emerge is the continuous rule knowledge base evolution at runtime. In this paper, we propose a decision adaptation component that relies on generating new rules

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Kuznetsova, Inna, Yulia Karpenko, and Andriy Repin. "Decision-making management for improvement of the logistics system." Socio-Economic Research Bulletin, no. 2(73) (June 28, 2020): 136–49. http://dx.doi.org/10.33987/vsed.2(73).2020.136-149.

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&NA;. "Call for improvement in US FDA's postmarket decision-making." Reactions Weekly &NA;, no. 1100 (2006): 3. http://dx.doi.org/10.2165/00128415-200611000-00007.

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Cornuz, Jacques, Beat Kuenzi, and Tanja Krones. "Shared decision making development in Switzerland: room for improvement!" Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen 105, no. 4 (2011): 296–99. http://dx.doi.org/10.1016/j.zefq.2011.04.008.

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21

Dujardin, Bruno, Jef Van den Ende, Alfons Van Gompel, Jean-Pierre Unger, and Patrick Van der Stuyft. "Likelihood ratios: A real improvement for clinical decision making?" European Journal of Epidemiology 10, no. 1 (1994): 29–36. http://dx.doi.org/10.1007/bf01717448.

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GORIKI, Shin'ichi, Toshiro SHIBASAKA, and Toshimichi MORIWAKI. "Improvement of cutting process monitoring with parallel decision-making." Journal of the Japan Society for Precision Engineering 69, no. 8 (2003): 1109–13. http://dx.doi.org/10.2493/jjspe.69.1109.

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23

WEIBEL, ROBERT, and BARBARA P. BUTTENFIELD. "Improvement of GIS graphics for analysis and decision-making." International journal of geographical information systems 6, no. 3 (1992): 223–45. http://dx.doi.org/10.1080/02693799208901907.

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Wasserman, Julio Cesar De Faria Alvim, Gilson Brito Alves Lima, José Francisco Tebaldi De Castro, Danilo Garbazza Vieira, Rodrigo Nunes Ferreira, and Cláudio Benevenuto De Campos Lima. "Decision-making improvement in petroleum rigs: a service assessment." International Journal of Services and Operations Management 35, no. 4 (2020): 440. http://dx.doi.org/10.1504/ijsom.2020.10027502.

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Lima, Cláudio Benevenuto De Campos, Rodrigo Nunes Ferreira, Danilo Garbazza Vieira, José Francisco Tebaldi De Castro, Gilson Brito Alves Lima, and Julio Cesar De Faria Alvim Wasserman. "Decision-making improvement in petroleum rigs: a service assessment." International Journal of Services and Operations Management 35, no. 4 (2020): 440. http://dx.doi.org/10.1504/ijsom.2020.105909.

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26

Debou, Christophe, Jaroslav Lipták, and Herbert Schippers. "Decision making for software process improvement: A quantitative approach." Journal of Systems and Software 26, no. 1 (1994): 43–52. http://dx.doi.org/10.1016/0164-1212(94)90094-9.

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27

Tzeng, Gwo-Hshiung, and Sheng-Hshiung Tsaur. "Application of multiple criteria decision making for network improvement." Journal of Advanced Transportation 31, no. 1 (1997): 49–74. http://dx.doi.org/10.1002/atr.5670310106.

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28

Jordão, Ana Rita, Renato Costa, Álvaro Lopes Dias, Leandro Pereira, and José Pedro Santos. "BOUNDED RATIONALITY IN DECISION MAKING: AN ANALYSIS OF THE DECISION-MAKING BIASES." Business: Theory and Practice 21, no. 2 (2020): 654–65. http://dx.doi.org/10.3846/btp.2020.11154.

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Decision-making is a multidisciplinary and ubiquitous phenomenon in organizations, and it can be observed at the individual, group, and organizational levels. Decision making plays, however, an increasingly important role for the manager, whose cognitive competence is reflected in his ability to identify potential opportunities, to immediately detect and solve the problems he faces, and to predict and prevent future threats. Nevertheless, to what extent do managers of the most diverse sectors and industries continue to rely on false knowledge when they have better strategies at their disposal?

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김영두. "An Investigation of Financial Consumers' Investment Decision Making and Resultant Welfare Improvement from a Behavioral Decision Making Perspective." journal of consumer policy studies ll, no. 39 (2011): 1–21. http://dx.doi.org/10.15723/jcps..39.201104.1.

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30

Fernández, Fernando Vegas, and Fernando Rodríguez López. "Risk management improvement drivers for effective risk-based decision-making." Pressacademia 8, no. 4 (2019): 223–34. http://dx.doi.org/10.17261/pressacademia.2019.1166.

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31

Zavadskas, Edmundas Kazimieras, Dragan Pamučar, Željko Stević, and Abbas Mardani. "Multi-Criteria Decision-Making Techniques for Improvement Sustainability Engineering Processes." Symmetry 12, no. 6 (2020): 986. http://dx.doi.org/10.3390/sym12060986.

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The success of any activity and process depends fundamentally on the possibility of balancing (symmetry) needs and their satisfaction. That is, the ability to properly define a set of success indicators. The application of the developed new multi-criteria decision-making (MCDM) methods can be eliminated or decreased by decision-makers’ subjectivity, which leads to consistency or symmetry in the weight values of the criteria. In this Special Issue, 40 research papers and one review study co-authored by 137 researchers from 23 different countries explore aspects of multi-criteria modeling and op

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Averina, T. A., P. N. Kurochka, and M. V. Zhegulskaya. "Improvement of the Decision Making Process Based on Queueing Theory." Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 18, no. 4 (2018): 115–26. http://dx.doi.org/10.14529/ctcr180411.

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33

Ketners, Karlis, Aleksis Jarockis, and Mara Petersone. "State budget system improvement for informed decision-making in Latvia." Scientific Bulletin of Mukachevo State University Series “Economics” 11, no. 3 (2024): 86–99. http://dx.doi.org/10.52566/msu-econ3.2024.86.

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The study aims to improved the state budget system to ensure informed decision-making, which will contribute to more efficient use of budget funds and increase national financial stability. A comparative analysis of successful budget planning practices in other countries, such as Sweden, Canada and Estonia, was conducted, and the legal framework for coordination between government agencies in the budget management process in Latvia was reviewed. The methodological approach was based on the analysis of statistical data from official sources and regulations, as well as the use of information fro

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Jafari, Z., H. Bashari, and M. Borhani. "Prioritizing Rangeland Improvement Practices using Multi-Criteria Decision Making Approach." Iranian Journal of Applied Ecology 8, no. 2 (2019): 81–92. http://dx.doi.org/10.29252/ijae.8.2.81.

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Gelderblom, Gert, Kim Schildkamp, Jules Pieters, and Melanie Ehren. "Data-based decision making for instructional improvement in primary education." International Journal of Educational Research 80 (2016): 1–14. http://dx.doi.org/10.1016/j.ijer.2016.07.004.

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Jones, Peter W., and Alan C. Cassells. "Criteria for decision making in crop improvement programmes — Technical considerations." Euphytica 85, no. 1-3 (1995): 465–76. http://dx.doi.org/10.1007/bf00023981.

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Barkokebas, Beda, Pablo Martinez, Ahmed Bouferguene, Farook Hamzeh, and Mohamed Al-Hussein. "Digitalization-based process improvement and decision-making in offsite construction." Automation in Construction 155 (November 2023): 105052. http://dx.doi.org/10.1016/j.autcon.2023.105052.

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38

Sun, Lei, Shah Nazir, and Anwar Hussain. "Multicriteria Decision Making to Continuous Software Improvement Based on Quality Management, Assurance, and Metrics." Scientific Programming 2021 (April 21, 2021): 1–7. http://dx.doi.org/10.1155/2021/9953618.

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Software process improvement methodologies support to incessantly regulate and advance the process of software for its performance development. This development arises in terms of software product quality, time, changes reduction, and so on. The aim of software process improvement is to make software process effective and to increase quality of software product through continuous evaluation. Various approaches and frameworks are in practice for software process improvement. Early decision making concerning continuous software improvement can ultimately lead to successful software developments

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Dahmani, Sarra, Xavier Boucher, Sophie Peillon, and Béatrix Besombes. "A reliability diagnosis to support servitization decision-making process." Journal of Manufacturing Technology Management 27, no. 4 (2016): 502–34. http://dx.doi.org/10.1108/jmtm-06-2015-0044.

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Purpose – Servitization of manufacturing is characterized by very complex decision processes within strongly unstable and uncertain decision contexts. Decision-makers are face situations of lack of internal and external information. The purpose of this paper is to develop a decision aid approach to support the management of servitization decision-making processes. Design/methodology/approach – The scientific orientation of this research consists in working at improving the efficiency of the servitization decision-making process, by identifying factors of non-reliability, in order to propose re

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Morozov, A. O., and V. O. Yashchenko. "Decision-making technologies in military systems. Challenges and prospects." Mathematical machines and systems 4 (2023): 3–10. http://dx.doi.org/10.34121/1028-9763-2023-4-3-10.

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This article examines the current aspects of the use of intelligent systems in the military sphere and their role in decision-making in crisis situations. In particular, systems such as JADE, ALPHA, and R-Plan designed to plan the deployment of armed forces, control combat aircraft, and make decisions at the operational level are analyzed. The article also describes the decision-making technology in automatic and automated control systems, as well as the state of modern military technologies. Particular attention is paid to the role of decision-making technologies in military operations, and t

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Kirin, Snezana, and Lela Nesic. "Increasing a large petrochemical company efficiency by improvement of decision making process." Chemical Industry 64, no. 5 (2010): 465–72. http://dx.doi.org/10.2298/hemind100710048k.

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The paper shows the results of a research conducted in a large petrochemical company, in a state under transition, with the aim to "shed light" on the decision making process from the aspect of personal characteristics of the employees, in order to use the results to improve decision making process and increase company efficiency. The research was conducted by a survey, i.e. by filling out a questionnaire specially made for this purpose, in real conditions, during working hours. The sample of the respondents is representative for the goal of the research and consists of 82 employees, of all le

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42

Powless, Matthew D., Jesse A. Steinfeldt, Shelbi E. Fisher, Patrick McFadden, Kyle W. Kennedy, and Scott Bellini. "Utilizing Video-Based Trainings to Improve Decision Making in High School Quarterbacks." Sports 8, no. 2 (2020): 18. http://dx.doi.org/10.3390/sports8020018.

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Despite the role of working memory capacity (WMC) in decision making, there is a dearth of empirical literature concerned with working memory and how it relates to tactical decision making in sport. The temporal occlusion paradigm has often been used by sport researchers to improve tactical decision making and, thus, provides a well-established foundation for creating decision-making trainings. Therefore, the purpose of the current study was to explore the implementation of computer-based learning modules to improve the tactical decision making of four high school quarterbacks with varying lev

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Aggarwal, Sakshi, and Shrddha Sagar. "An Analytical Approach for Decision-Making." JOIV : International Journal on Informatics Visualization 2, no. 3 (2018): 114. http://dx.doi.org/10.30630/joiv.2.3.123.

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In this complex world, coping with daily problems is quite tedious. The more advancement in technology means more difficulties in decision-making process. Hence some analytical tools are needed to deal with improvement in decisions being made. A classic AHP model enables us to make efficient decision by reducing the complex issues. It takes multiple parameters into consideration. One of the area where decision-making is quite a tough job is Politics. Selection of the electoral party in any elections, be it Lok Sabha elections or Rajya Sabha elections, has been a matter of discussion for the vo

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Chan, F. T. S., H. K. Chan, and M. H. Chan. "An integrated fuzzy decision support system for multicriterion decision-making problems." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 217, no. 1 (2003): 11–27. http://dx.doi.org/10.1243/095440503762502251.

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In order to compete effectively in today's rapidly changing world economy, decision making should be made fast and accurate, especially when many tangible and intangible factors are considered together. Making decisions to implement advanced manufacturing technologies (AMTs) is a good example. However, not all AMT implementations are successful because most of the conventional investment justification criteria are built on tangible factors, such as cost reduction, only. Intangiabl long-term benefits such as improvement in quality, increase in flexibility, and fast delivery are always disregard

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Mackie, Steve I., Steve H. Begg, Chris Smith, and Matthew Welsh. "Real-world decision making in the upstream oil and gas industry—prescriptions for improvement." APPEA Journal 48, no. 1 (2008): 329. http://dx.doi.org/10.1071/aj07022.

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Business under-performance in the upstream oil and gas industry, and the failure of many decisions to return anticipated results, has led to a growing interest in the past few years in understanding the impacts of decision-making processes and their relationship with decision outcomes. Improving oil and gas decision making is, thus, increasingly seen as reliant on an understanding of the processes of decision making in the real world. There has been significant work carried out within the discipline of cognitive psychology, observing how people actually make decisions; however, little is known

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Amindoust, Atefeh, Ahmed Shamsuddin, and Ali Saghafinia. "Learning Improvement of DEA Technique in Decision Making for Manufacturing Applications Using DEA Excel-Solver." Advanced Materials Research 903 (February 2014): 425–30. http://dx.doi.org/10.4028/www.scientific.net/amr.903.425.

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DEA (Data Envelopment Analysis) is the optimization method of mathematical programming to measure the relative efficiencies of decision making units (DMUs). Due to its wide applicability, the DEA has been studied extensively for the last 30 years to solve decision making problems. Since, there are a lot of selection decisions in manufacturing, DEA as an appropriate tool to be necessary-especially for engineers-to improve learning for decision making. In this paper, the DEA method is applied in decision making process through DEA Excel-Solver software and the required processes are explained st

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47

Gonçalves, Carlos Alberto, and Carlos Eduardo Penna de Macedo Rocha. "Cognitive biases in decision-making: applications on strategic management and rationality improvement." International Journal of Scientific Management and Tourism 9, no. 3 (2023): 1722–44. http://dx.doi.org/10.55905/ijsmtv9n3-023.

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Every decision is faced with the unknown. Decisions with strategic density, more than others, carry by themselves a greater burden of responsibility on the firm performance, crucial to obtain the positive results desired by both managers and shareholders. The scope, space of states of strategies formulation and implementation is, customarily wide, and still, the game is open with other forces of the internal and external environment acting. Many studies have shown that the decision-making, formulation and implementation process, considered in moments as part of the strategy process set, compri

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48

Olsena, Solvita, Inese Stars, Elza Eliza Rozenberga, Karina Konstantinova, and Ksenija Baidina. "Triadic Perspectives on Decision Making in Psychiatry: A Qualitative Study on Service Users, Caregivers and Healthcare Professionals in Latvia." Healthcare 13, no. 12 (2025): 1416. https://doi.org/10.3390/healthcare13121416.

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Background/Objectives: Decision making is fundamental to personal autonomy and person-centered, rights-based psychiatric care. This study explored the perceptions and experiences of decision making in psychiatric care from the perspectives of service users, caregivers, and healthcare professionals, identifying contexts that facilitate or hinder these practices. Methods: An exploratory–descriptive qualitative design was applied, using semi-structured interviews with eight service users, six caregivers, and seven healthcare professionals (21 interviews in total). Data were transcribed verbatim a

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De, Shipra, and Darryl A. Seale. "Dynamic Decision Making and Race Games." ISRN Operations Research 2013 (August 7, 2013): 1–15. http://dx.doi.org/10.1155/2013/452162.

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Frequent criticism of dynamic decision making research pertains to the overly complex nature of the decision tasks used in experimentation. To address such concerns, we study dynamic decision making with respect to a simple race game, which has a computable optimal strategy. In this two-player race game, individuals compete to be the first to reach a designated threshold of points. Players alternate rolling a desired quantity of dice. If the number one appears on any of the dice, the player receives no points for his turn; otherwise, the sum of the numbers appearing on the dice is added to the

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Pérez Gamboa, Alfredo Javier, Carlos Alberto Gómez Cano, and Verenice Sánchez Castillo. "Decision making in university contexts based on knowledge management systems." Data and Metadata 1 (September 24, 2023): 92. http://dx.doi.org/10.56294/dm202292.

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Abstract:

Introduction: knowledge management constitutes a fundamental process for decision-making, hence its importance in complex and competitive contexts.Objective: Analyze the importance of knowledge management in decision making for the improvement of higher education institutions.Methods: a literature review oriented to thematic analysis of the field of study was implemented.Results: the data analyzed suggest the need for new studies to achieve a better understanding of the relationship between decision making and knowledge management in higher education institutions, as well as showing the import

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