ERP SYSTEMS AS A DRIVER OF EFFECTIVE DECISION-MAKING IN THE FIELD OF RESOURCE SUPPORT OF MODERN ENTERPRISES

2021 ◽  
Vol 2 (6) ◽  
pp. 4-7
Author(s):  
R. T. GALYAUTDINOV ◽  
◽  
D. V. KASTORSKIY ◽  

The article highlights the theoretical approaches to the definition of systems that allow optimizing the decision-making process in modern enterprises. In this aspect, the issues related to the problem of uncertainty in decision-making in the field of resource support for the activities of these enterprises are considered, and the ways of measures to improve this process at the enterprise of JSC «Russian Space Systems» are proposed.

2005 ◽  
Vol 11 (1) ◽  
pp. 133-166
Author(s):  
M. Iqbal

ABSTRACTIn the recent past life companies have made many decisions which they have had cause to deeply regret. This paper looks at the range of decision making theories available. It then examines recent examples of decisions that had unfavourable consequences and explores why they were taken, and goes on to describe a systematic approach to decision making which can help management assess more objectively the difficult choices confronting them today. The approach does not require espousal of any specific decision theory or method of value measurement. The focus is on the decision making process and the organisation's capacity to handle change. The paper identifies the three requirements for effective decision making.


Conflict ◽  
2019 ◽  
pp. 120-137
Author(s):  
Neil D. Shortland ◽  
Laurence J. Alison ◽  
Joseph M. Moran

In many military and critical incident situations, teams operate as part of a coalition or collective of other organizations. Interoperation adds complexity to the decision-making process because it brings together organizations with (potentially) disparate (and competing) values, priorities, and organizational practices. This chapter examines the issues of value congruence between the person and the organization. Specifically, it discusses value congruence at a situation-specific level (i.e., how does organizational/personal value congruence affect least-worst decision-making in operation) and also the factors within the organization that can facilitate or hinder effective decision-making. Finally, value congruence is extrapolated to examine the overall effects of “person–organization” fit, especially as it pertains to moral behavior and issues of retention.


2020 ◽  
Vol 10 (3) ◽  
pp. 35
Author(s):  
Zdenek Dytrt ◽  
Radomir Serek

The management theory did not develop equally with the changes in technologies. The consequence of this shortcoming is a prevalence of quantitative management which puts an emphasis on the quantitative values. This represents a risk for the sustainable growth. Therefore, the managerial ethics, which biases qualitative values and attitudes, is important for the managers' decision-making. The effective decision-making process is further based not only on the manager's experience, which may lead to a certain routine, but also on the cooperation among the other departments and educational institutions. Furthermore, the successful innovations, which are often an outcome of the systemic and complex decision-making, require to follow certain rules during their implementation. A person may become an initiator, leader, subject or a consumer of the innovation and should be adequately prepared for all these roles. Despite the abrupt development in the technical areas there is not such progress in the humanities. Education is still more focused on the content and form (thus quantity) rather than on the applications and relations (quality).


2016 ◽  
Vol 1 (2) ◽  

Intuition is a quality that nurses have traditionally valued, but nowadays evidence-based research climate is often denigrated. Because it is difficult to investigate and quantify, intuition has tended to be seen as unreliable, unscientific and unsuitable for nursing practice. However, intuition, like caring, cannot be subjected to measurement and should not be overlooked as an important tool. Intuition is identified as a useful tool that needs to be recognized in nursing. At the same time, intuition is described as an important type of nursing knowledge and a valid way of knowing in clinical nursing practice. It is knowing something or deciding to do something without having a logical explanation. Intuition in practice has been linked to enhanced clinical judgment, effective decision making and crisis aversion. The inability to provide rationale for an action or decision makes intuition challenging for nurses to describe, explain or openly acknowledge. In the nursing literature, intuition is recognized as an important component of decision-making theories. In the literate outlines the two predominant theoretical approaches to decision making: the systematic positivistic approach and the intuitive humanistic approach. Both approaches are valuable and emphasise the need to investigate quantitatively the intuitive humanistic approach in decision making. To understand the intuitive approach to decision making, nurses need to first identify intuitive feelings and intuition use in their clinical practice. Qualitative studies demonstrate intuition use in expert decision making and label it as a source of knowledge coming from feelings, sensations and connections. Intuition is a component of decision-making models applied in nursing practice. Empirical research which requires nurses to recognize intuition and utilize it effectively in nursing practice.


2016 ◽  
Vol 2 (1,2) ◽  
Author(s):  
Ivana Mazalová ◽  
Jiří Richter

The article presents the partial conclusions of the research Solving Unstructured Decision-Making Problems in the Ministry of Defence of the Czech Republic. The research was conducted in the Ministry of Defence of the Czech Republic in the form of a questionnaire survey and semi-structured interviews. The respondents were employees of the ministry working at all managerial levels. The subject of research was the issue of effective problem-solving in the Ministry of Defence. The aim of this article is to identify the key barriers to effective decision- making and to propose general principles to eliminate these barriers.


2020 ◽  
Vol 26 (1) ◽  
pp. 163-166
Author(s):  
Mihai Velicof

AbstractThe main purpose of this article is to delimitate the concepts of biosecurity and bioterrorism and to highlight the importance of intelligence in the decision-making process. Biosecurity and bioterrorism are two terms who can be very similar at first view, but they are very different, and they only interconnect at one point, the first one is including the second. The first term biosecurity or biological security can be simply defined as an action taken to prevent a damage from a biological threat and bioterrorism is a form of terrorism which involves the use of a biological weapon. The intelligence in relation with biosecurity and bioterrorism can be defined as a process which is producing an analysis for the organisation. Biosecurity, bioterrorism and intelligence are all interconnected, the last one is the most important because a good intelligence can reduce or even disrupt threats and emergencies by providing an effective decision-making support when is needed. Intelligence has a very important role in managing bio threats only if stakeholders such as scientists, the first responder, clinicians and others are engaged in the process of taking the decision. A good intelligence provides a very important mechanism in understanding the threat and estimating the risk for a better decision to enable a potential biothreat.


2015 ◽  
Vol 7 (3) ◽  
pp. 36-64 ◽  
Author(s):  
Faten Atigui ◽  
Franck Ravat ◽  
Jiefu Song ◽  
Olivier Teste ◽  
Gilles Zurfluh

The authors' aim is to provide a solution for multidimensional data warehouse's reduction based on analysts' needs which will specify aggregated schema applicable over a period of time as well as retain only useful data for decision support. Firstly, they describe a conceptual modeling for multidimensional data warehouse. A multidimensional data warehouse's schema is composed of a set of states. Each state is defined as a star schema composed of one fact and its related dimensions. The derivation between states is carried out through combination of reduction operators. Secondly, they present a meta-model which allows managing different states of multidimensional data warehouse. The definition of reduced and unreduced multidimensional data warehouse schema can be carried out by instantiating the meta-model. Finally, they describe their experimental assessments and discuss their results. Evaluating their solution implies executing different queries in various contexts: unreduced single fact table, unreduced relational star schema, reduced star schema and reduced snowflake schema. The authors show that queries are more efficiently calculated within a reduced star schema.


2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Giancarllo Ribeiro Vasconcelos ◽  
Caroline Maria de Miranda Mota

Pairwise comparisons have been applied to several real decision making problems. As a result, this method has been recognized as an effective decision making tool by practitioners, experts, and researchers. Although methods based on pairwise comparisons are widespread, decision making problems with many alternatives and criteria may be challenging. This paper presents the results of an experiment used to verify the influence of a high number of preferences comparisons in the inconsistency of the comparisons matrix and identifies the influence of consistencies and inconsistencies in the assessment of the decision-making process. The findings indicate that it is difficult to predict the influence of inconsistencies and that the priority vector may or may not be influenced by low levels of inconsistencies, with a consistency ratio of less than 0.1. Finally, this work presents an interactive preference adjustment algorithm with the aim of reducing the number of pairwise comparisons while capturing effective information from the decision maker to approximate the results of the problem to their preferences. The presented approach ensures the consistency of a comparisons matrix and significantly reduces the time that decision makers need to devote to the pairwise comparisons process. An example application of the interactive preference adjustment algorithm is included.


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