Effective Decision-Making in Project Based Environments

2018 ◽  
Vol 5 (1) ◽  
pp. 50-62 ◽  
Author(s):  
Brian J. Galli
Keyword(s):  
Decision Making ◽  
Net Present Value ◽  
Past Research ◽  
Economic Decisions ◽  
Project Environment ◽  
Economic Decision Making ◽  
Effective Decision ◽  
Effective Decision Making ◽  
Future Direction ◽  
Financial Process

Effective decision-making requires economic analysis to be beneficial in a project environment. Producing effective economic decisions is based on various factors and methods, including payback period (PBP), internal rate of return (IRR), and net present value (NPV). Once projects are identified, a managerial team can begin the financial process of determining whether the project should be accepted. The team should use one of the mentioned tools. By analyzing past research, it is concluded that NPV is a vital tool that leads to the most effective project evaluation. NPV, in comparison to PBP and IRR, provides more realistic and effective value with little marginal error. This article illustrates the superiority of NPV by presenting evidence from existing research, scenarios, limitations, and future direction to use this tool in economic decision-making.

scholarly journals Construction and functioning for the data warehouse in the enterprise in the context of the effective decision making

Equilibrium ◽  
2009 ◽  
Vol 2 (1) ◽  
pp. 171-180
Author(s):  
Michał Kukliński
Keyword(s):  
Decision Making ◽  
Data Processing ◽  
Data Warehouse ◽  
Business Intelligence ◽  
Data Warehouses ◽  
Economic Decisions ◽  
Business Intelligence Systems ◽  
Effective Decision ◽  
Effective Decision Making ◽  
Answering Questions

In the twenty-four hours of computerised enterprises, recruiting huge amounts of data, processing them in the traditional way would be highly ineffective and it will not deliver to us so much interesting information, forecasts and the relation, as Business Intelligence systems, of which Data Warehouses are a basis. The publication is answering questions: what the data warehouse is what is serving for and what are examples of applying. Stages of the build of the Data Warehouse and factors assuring achieving success in taking economic decisions will be introduced.

Parliamentarism and the Legislative Branch

2017 ◽  
Author(s):  
András Sajó ◽  
Renáta Uitz
Keyword(s):  
Decision Making ◽  
Political Parties ◽  
Legislative Branch ◽  
Effective Decision ◽  
The Law ◽  
Internal Operations ◽  
Effective Decision Making ◽  
The Relationship ◽  
Law Making

This chapter examines the relationship between parliamentarism and the legislative branch. It explores the evolution of the legislative branch, leading to disillusionment with the rationalized law-making factory, a venture run by political parties beyond the reach of constitutional rules. The rise of democratically bred party rule is positioned between the forces favouring free debate versus effective decision-making in the legislature. The chapter analyses the institutional make-up and internal operations of the legislature, the role of the opposition in the legislative assembly, and explores the benefits of bicameralism for boosting the powers of the legislative branch. Finally, it looks at the law-making process and its outsourcing via delegating legislative powers to the executive.

Computing an effective decision making group of a society using social network analysis

2013 ◽  
Vol 28 (3) ◽  
pp. 577-587 ◽  
Author(s):  
Donghyun Kim ◽  
Deying Li ◽  
Omid Asgari ◽  
Yingshu Li ◽  
Alade O. Tokuta ◽  
...  
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Effective Decision ◽  
Effective Decision Making

Effective Decision Making in a Life Company

2005 ◽  
Vol 11 (1) ◽  
pp. 133-166
Author(s):  
M. Iqbal
Keyword(s):  
Decision Making ◽  
Decision Theory ◽  
Systematic Approach ◽  
Decision Making Process ◽  
Recent Past ◽  
Past Life ◽  
Effective Decision ◽  
Effective Decision Making ◽  
Value Measurement

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.

Application of Unascertained Measure-Entropy Evaluation Model for Program Selection of Shaft Construction under Complex Conditions

2011 ◽  
Vol 225-226 ◽  
pp. 407-410 ◽  
Author(s):  
Wan Qing Li ◽  
Mu Jie Chen ◽  
Wen Qing Meng
Keyword(s):  
Decision Making ◽  
Evaluation Model ◽  
Entropy Weight ◽  
Program Selection ◽  
Effective Decision ◽  
Effective Decision Making ◽  
Measure Entropy ◽  
Selection Of

An unascertained measure-entropy evaluation model for the program selection of shaft construction under complex conditions is established so that a scientific and effective decision making method is provided in this paper, the evaluation model of shaft construction is established based on unascertained measure and entropy weight theory, then, the model proposed in this paper is applied to evaluate three shaft construction program comprehensively, and the evaluation results show validity and applicability of the model.

Similarity-Based Decision Support for Internet Enabled Supply-Web Interactions

1998 ◽  
Author(s):  
Raj Veeramani ◽  
Narayanan Viswanathan ◽  
Shailesh M. Joshi
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Manufacturing Industry ◽  
Job Shop ◽  
The Internet ◽  
Agent Based ◽  
New Approaches ◽  
Effective Decision ◽  
Use Of The Internet ◽  
Effective Decision Making

Abstract New approaches for decision making are emerging to support the use of the Internet for supply-web interactions in the manufacturing industry. In this paper, we discuss one such paradigm, namely similarity-based decision support. It recognizes that knowledge of similar experiences can support rapid and effective decision making in various forms of supply-web interactions. We illustrate this approach using two prototype systems, WebScout (an agent-based system for customer–supplier matchmaking in the job-shop machining industry context) and TOME (Treasury of Manufacturing Experiences — an Intranet application to aid manufacturability assessment in foundries).

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