The method of estimation and forecasting in intelligent decision support systems was developed. The essence of the method is the analysis of the current state of the object and short-term forecasting of the object state. Objective and complete analysis is achieved by using improved fuzzy...

The main aim of this chapter is to explain what considered as managerial tools and techniques for decision making in the area of management accounting and how they developed and evolved over the time. This chapter is intended to help us document the innovation, evolution and the adoption of a...

Global distribution of COVID-19 vaccines is one of the world's most challenging logistics tasks. A timely mass vaccination during a pandemic is a matter of life and death. This study proposes a decision support system (DSS) that integrates GIS, analytics, and simulation methods to help develop a...

In this research report, we present a new version of IT Modeling Language (ITML). It is integrated with the family of Domain-Specific Modeling Languages (DSMLs) that are part of Multi-Perspective Enterprise Modeling (MEMO). The design of the language followed a proven method. It provides for...

Strategic planning in a corporate environment is often based on experience and intuition, although internal data is usually available and can be a valuable source of information. Predicting merger & acquisition (M&A) events is at the heart of strategic management, yet not sufficiently motivated...

The objective of this research is to identify the factors that are the drivers of innovation and to propose a means of measuring firm-specific innovation within a nation. Innovation leads to competitive advantages, as well as maximizing profits for a firm, so it is imperative that the firms have...

Studies have been carried out and methods have been proposed to increase the competitiveness of IT companies by improving the quality of their state analysis taking into account stochastic indicators. Growth conditions may provide mergers and acquisitions (M&A). One of the important components...

Employee Performance Evaluation at CV Artha Mandiri Pringsewu is still done manually, without a computerized system, so that it faces obstacles to obtain actual and accurate information. In order to be successful in business today, CV. Artha Mandiri needs information system that can support...

Purpose – This study aims to study the importance of BI / DSS for organizations, as well as, investigate the organizational factors that influence the effective use of BI or DSS systems in a given organization. The researcher used the “University Library” and start gathering information...

The definitive federal census and repository for regulated water system data in the United States, universally used by researchers and policymakers, is the Safe Drinking Water Information System (SDWIS). We consider the veracity of the data used to identify and differentiate water systems. This...

Policies to incentivize the adoption of renewable energy sources (RES) usually offer little flexibility to adapt to heterogeneous benefits across locations. We evaluate the geographical misallocation of RES associated with the uniform nature of subsidies. We estimate the dispersion of marginal...

Purpose- The process of managerial decision making is a highly complex activity which is directly linked to the profitability and efficiency of the business. There are rational business decisions that require quantitative data so that effectiveness can be enhanced. Operation research is the...

Purpose: Management Information System is considered to be very significant in modern day organisations, because of its ability to collect, compile and process information that is used by the management to make strategic decisions. The main purpose of this study is to evaluate the significance...

Every country has a unique profile of social, political, economic, and regulatory factors that comprise its investment climate. While country-specific data and analytics are widely available, many multinational companies do not use them to decide where to put their investment. This article...

Land-use suitability assessment necessitates the analysis of multiple parameters as well as the compliance with the legal framework, the priorities, and the beliefs of all stakeholders involved in forming and implementing spatial policies. The approach followed in this paper is based on...

Background: Starting from the limitations of different single-method approaches to measuring the organizational efficiency, the paper is focused on covering both the financial and non-financial factors of this concept by combining two methods, namely the Balanced Scorecard (BSC) and Data...

Background: This paper describes the impact evaluation of a large big data platform initiative that is being undertaken in order to increase the probability of its success. The initiative, MIDAS (Meaningful Integration of Data Analytics and Services), is a European health-based Horizon 2020...

The purpose of this article is to develop a quantitative model that supports policy makers in the tourism sector in making socially responsible investment decisions. In particular, this paper proposes a methodological approach to assess the impact of strategic decisions at the policy level, in...

There is a growing demand for public participation in environmental decision-making. However, it is unclear how a large number of citizens can best engage in such complex public policy decision processes. This need from the civil society challenges the OR community to develop online...

Purpose: Business analytics, a buzzword of the recent decade, has been applied by thousands of enterprises to help generate more values and enhance their business performance. However, many aspects of business analytics remain unclear. This study clarifies the definition of business analytics...

Supply chain disruptions have serious consequences for society and this has made supply chain risk management (SCRM) an attractive area for researchers and managers. In this paper, we use an objective literature mapping approach to identify, classify, and analyze decision-making models and...