scholarly journals Innovative programming product for work architect-urbanist with Big Data of city

2021 ◽  
Vol 1203 (2) ◽  
pp. 022021
Author(s):  
Oksana Fomenko ◽  
Serhiy Danylov ◽  
Mykhaylo Izbash ◽  
Andrii Izbash

Abstract The article substantiates the necessity of creating an innovative programming product "Program complex for modelling the city as a dynamic system". The methodological basics of writing a technical task as the basis for the complex development are described. The aspects of its use as a tool for information support of strategic decision-making processes related to the transition of the city to an intensive type of development are disclosed. The purpose of the program complex: information support for strategic decision-making processes to optimize the principles of the city. The purpose of the program complex is to analyze the processes of city functioning as a complex dynamic system. In this case, it is possible to diagnose the current state of the city as a system in real-time, the state of its subsystems and elements, as well as to predict changes in the dynamic processes of their functioning. The specified program package is based on a combination of two trends in modern science: optimization of the city functioning processes and management of large arrays of city data (Big Data). The Program simulates positive and negative dynamics of the transition of the city, its subsystems and individual elements from a state of stability to crisis and a possible pre-catastrophic state.

Proceedings ◽  
2021 ◽  
Vol 74 (1) ◽  
pp. 12
Author(s):  
Ekin Akkol

The aim of this study is to develop a web application that supports decision-making processes on subjects—such as customer relations management, marketing, and stock management—with data such as posts, comments, and likes from Instagram to four e-commerce companies. In this context, the data obtained from the Instagram accounts of e-commerce companies were recorded in a database after the pre-processing and classification stages. A web application has been developed that can support managers in their decision-making processes at operational, tactical, and strategic decision-making levels by visualizing the data recorded in the database.


2011 ◽  
Vol 46 (2) ◽  
pp. 194-204 ◽  
Author(s):  
Pavlos Dimitratos ◽  
Andreas Petrou ◽  
Emmanuella Plakoyiannaki ◽  
Jeffrey E. Johnson

2021 ◽  
pp. 147612702110468
Author(s):  
James D Westphal ◽  
David H Zhu ◽  
Rajyalakshmi Kunapuli

We examine the symbolic management of participative strategic decision-making programs that purportedly use crowdsourcing technology to solicit strategic input below the executive suite, but are often decoupled from actual strategic decision making. Specifically, top management may decide on a strategic option before soliciting input under the program. The first portion of our theoretical framework explains why disclosure of a participative strategic decision making program in communicating with security analysts is associated with more positive analyst appraisals, despite decoupling, and why the benefits of disclosure are amplified to the extent that leaders highlight the use of crowdsourcing technology in the program. The second portion of our framework addresses the antecedents of symbolic adoption. We suggest that firms are more likely to adopt and decouple a program when the CEO has a personal friendship tie to the CEO of another firm that has adopted and decoupled, especially following relatively negative analyst appraisals. Analysis of a unique dataset that includes longitudinal survey data from executives supported our predictions.


2013 ◽  
pp. 344-359
Author(s):  
Paul L. Drnevich ◽  
Thomas H. Brush ◽  
Alok Chaturvedi

Most strategic decision-making (SDM) approaches advocate the importance of decision-making processes and response choices for obtaining effective outcomes. Modern decision-making support system (DMSS) technology is often also needed for complex SDM, with recent research calling for more integrative DMSS approaches. However, scholars tend to take disintegrated approaches and disagree on whether rational or political decision-making processes result in more effective decision outcomes. In this study, the authors examine these issues by first exploring some of the competing theoretical arguments for the process-choice-effectiveness relationship, and then test these relationships empirically using data from a crisis response training exercise using an intelligent agent-based DMSS. In contrast to prior research, findings indicate that rational decision processes are not effective in crisis contexts, and that political decision processes may negatively influence both response choice and decision effectiveness. These results offer empirical evidence to confirm prior unsupported arguments that response choice is an important mediating factor between the decision-making process and its effectiveness. The authors conclude with a discussion of the implications of these findings and the application of agent-based simulation DMSS technologies for academic research and practice.


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