Today's Information Enterprise

2010 ◽  
pp. 15-32
Author(s):  
Supriya Ghosh
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Information Sharing ◽  
Value Chain ◽  
Future Trends ◽  
Sharing Value ◽  
Information Functions ◽  
Sharing Strategy ◽  
Audio Video ◽  
Text Images

This chapter shifts you from the complex topic of network centric warfare to address the basic fundamentals of today’s information enterprise environment. It addresses how our information enterprise is structured and what forms of information forms are there. This includes use of text, images, voice, audio/video and data. It then provides an understanding of the information functions as to how to use these information forms. It helps create, display, store, process and transport information, and work on how these converge. It then introduces the concept of a decision pyramid which in detail explains data, information, knowledge, intelligence and how decision making requires all of them. It further discusses an information sharing strategy for large organizations and the information sharing value chain. The chapter ends by discussing a number of tomorrow’s information technology future trends.

The Innovative Blockchain Technology in the Sharing Economy Subject Decision Making

2021 ◽  
pp. 129-150
Author(s):  
Elena Iosifovna Lazareva ◽  
Olga Vladimirovna Karaycheva ◽  
Gleb Viktorovich Karaychev ◽  
Irina Veniaminovna Frolova
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Information Sharing ◽  
Market Economy ◽  
Sharing Economy ◽  
Digital Transformation ◽  
Technology Support ◽  
Managerial Decisions ◽  
Blockchain Technology ◽  
Oriented System

The relevance of research is defined by the increasing importance of information technology support of managerial decisions of the modern economy subjects, whose priorities are progressively shifting from property to consumption, in the context of society innovation-digital transformation. The research is aimed at proposing ways to introduce the breakthrough blockchain technology into the system of interactions between sharing economy agents and at assessing the effect arising from the perspective of the transition to a true market economy of equal subjects. Achieving the goal of the study required the solution of such tasks as the identification of economic entities' decision-making algorithm and analysis of the advantages of innovative blockchain technology compared to the information sharing economy platforms that are actively working today. The novelty of the author's approach consists in substantiating the advantages of blockchain technology in approaching the goal of creating a socially oriented system of cooperation between equal actors.

scholarly journals A Bibliometric Network Analysis of Coronavirus during the First Eight Months of COVID-19 in 2020

2021 ◽  
Vol 18 (3) ◽  
pp. 952 ◽  
Author(s):  
Leonardo B. Furstenau ◽  
Bruna Rabaioli ◽  
Michele Kremer Sott ◽  
Danielli Cossul ◽  
Mariluza Sott Bender ◽  
...  
Keyword(s):  
Decision Making ◽  
Network Analysis ◽  
Web Of Science ◽  
Future Research ◽  
Future Trends ◽  
Damage Prevention ◽  
Over Time ◽  
The Web

The COVID-19 pandemic has affected all aspects of society. Researchers worldwide have been working to provide new solutions to and better understanding of this coronavirus. In this research, our goal was to perform a Bibliometric Network Analysis (BNA) to investigate the strategic themes, thematic evolution structure and trends of coronavirus during the first eight months of COVID-19 in the Web of Science (WoS) database in 2020. To do this, 14,802 articles were analyzed, with the support of the SciMAT software. This analysis highlights 24 themes, of which 11 of the more important ones were discussed in-depth. The thematic evolution structure shows how the themes are evolving over time, and the most developed and future trends of coronavirus with focus on COVID-19 were visually depicted. The results of the strategic diagram highlight ‘CHLOROQUINE’, ‘ANXIETY’, ‘PREGNANCY’ and ‘ACUTE-RESPIRATORY-SYNDROME’, among others, as the clusters with the highest number of associated citations. The thematic evolution. structure presented two thematic areas: “Damage prevention and containment of COVID-19” and “Comorbidities and diseases caused by COVID-19”, which provides new perspectives and futures trends of the field. These results will form the basis for future research and guide decision-making in coronavirus focused on COVID-19 research and treatments.

Information technology support for integrated supply chain modeling

2008 ◽  
Vol 27 (1) ◽  
pp. 3-13
Author(s):  
Charu Chandra ◽  
Jānis Grabis
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Supply Chain ◽  
Process Modeling ◽  
Service Oriented Architecture ◽  
Model Development ◽  
Integrated Models ◽  
Supply Chain Modeling ◽  
Decision Making Models ◽  
Integrated Supply Chain

Multiple interrelated decision-making models are frequently used in supply chain modeling. Model integration is a precondition for efficient development and utilization of these models. This paper discusses use of modern information technology (IT) techniques and methods for integration of supply chain decision-making models. The overall approach to using IT at various stages of model development is presented. Data and process modeling techniques are used to developed semi-formalized representation of integrated models. These models support integration of decision-making components with other parts of supply chain information system. Process modeling is also used to describe interrelationships among multiple decision-making models. This representation is used as the basis for implementation of integrated models. The service-oriented architecture is proposed as an implementation platform. The presented discussion serves as the basis for further developments in developing integrated supply chain decision-making models.

scholarly journals Multi-criteria decision-making model for supporting manufacturing settlements location in Africa after COVID-19

2021 ◽  
Vol 13 ◽  
pp. 184797902110233
Author(s):  
Stefania Bait ◽  
Serena Marino Lauria ◽  
Massimiliano M. Schiraldi
Keyword(s):  
Decision Making ◽  
Value Chain ◽  
Multinational Enterprises ◽  
Value Added ◽  
Plant Performance ◽  
Multi Criteria Decision Making ◽  
African Countries ◽  
Analytic Hierarchy ◽  
Location Selection ◽  
Decision Making Model

The COVID-19 emergency is affecting manufacturing industries all over the world. Notably, it has generated several issues in the products’ supply and the global value chain in African countries. Besides this, Africa’s manufacturing value-added rate grew only 1.5 since 2018, and the foreign direct investment (FDI) from multinational enterprises (MNEs) remains very low due to high-risk factors. Most of these factors are linked to a non-optimized location selection that can adversely affect plant performance. For these reasons, supporting decision-makers in selecting the suitable country location in Africa is crucial, both for contributing to countries’ growth and companies’ performance. This research aims at presenting a comprehensive multi-criteria decision-making model (MCDM) to be used by MNEs to evaluate the best countries to develop new manufacturing settlements, highlighting the criteria that COVID-19 has impacted. Thus, it has affected countries’ performance, impacting the plant location selection choices. A combination of the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods have also been used for comparative analysis. The criteria used in the proposed approach have been validated with a panel of MNEs experts.

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