Big data and decision‐making in international business

Ulman, Milos; Musteen, Martina; Kánská, Eva

doi:10.1002/tie.22225

Cited by 5 publications

(1 citation statement)

References 57 publications

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“…Big Data, for example, is used not only in demography and ecology but also in such a narrow area as assessing the benefits of environmental programs to improve the living conditions for indigenous peoples [3] or estimating the prevalence of severe asthma [4]. The use of Big Data reformats marketing analytics and multiplies the marketing capabilities of market actors [5], strengthens positions in the international market [6], transforms the tourism industry [7], increases the flow of information about the behavior of individuals [8], etc.…”

Section: Introductionmentioning

confidence: 99%

On Big Data, Management Systems and Corporate Culture

Timofeeva¹,

Kirkorova²

2022

Proceedings of the International Scientific and Practical Conference Strategy of Development of Regional Ecosystems “Education-

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The paper explores the problems associated with new technological solutions that have emerged in the era of digitalization. First of all, this applies to Big Data technology. Technology diffusion statistics and development forecasts are presented. The authors identify two factors that negatively affect the spread of Big Data: the openness of information and the institution of higher education. A solution is proposed for leveling the negative impact of these factors, that is a change in the essential characteristics of the control system necessary for the advanced development of both managed and managing subsystems of an organization. For this, on the basis of the observations carried out, the modern essential characteristics of management systems have been analyzed and the conclusion has been made about their inconsistency with innovative technical and technological solutions. The authors see the solution to the problem in a change in corporate culture, which should become the foundation of the managerial decision-making system. As a result of studying the content of educational programs of higher educational institutions located in the constituent entities of the Russian Federation, the authors observe its interdisciplinarity, project activities, and the study of IT technologies, but there is also a considerable group of universities where departments and institutes try to maintain the status quo in any way, using for achieving this goal all available means. According to the authors, knowledge of the management methodology and the availability of analytical competencies are a catalyst for the generation of a leader striving to implement the model of the alignment of interests, for which it is necessary to build an appropriate corporate culture, the values of which will change the essential characteristics of the management system existing in an organization; the role of the institution of higher education in this process is dominant. The implementation of the authors' solution to the problem will make it possible to level the risks associated with the implementation of Big Data and aimed at creating processes of organizations' digital slavery.

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Section: Introductionmentioning

confidence: 99%

On Big Data, Management Systems and Corporate Culture

Timofeeva¹,

Kirkorova²

2022

Proceedings of the International Scientific and Practical Conference Strategy of Development of Regional Ecosystems “Education-

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Impact of Big Data Analytics in Global Business for Sustainable Development

Maran,

Mohideen,

Ilakiyya

et al. 2023

2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS)

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The Signiﬁcance of IoT: A Healthcare Systems Perspective

Rasheed,

Murtaza,

Awan

et al. 2022

VAWKUM trans. comput. sci.

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In the current era of modern technologies, the health of the patient demands real time monitoring system. This dynamic system can be developed by using efficient sensors, network and internet cloud either wire or wireless. For example, for heart patient blood pressure and pulse must be measure constantly, in case if the patient is in moving and changing his position. For this purpose, an efficient system is required. In future there will be many other problems such as viruses attach detection, dingy fever detection, and sugar problems. For all these problems there will be multiple parameters of patient must me monitor and control. In this paper a method will be device to monitor all these parameters in real time. Moreover, we are concentrating on using mobile agents to provide patient assistance and healthcare services in order to help with the diagnosis of patient’s illnesses Furthermore, platform-agnostic solutions for healthcare data collection and dissemination over NoSQL are being studied. The Apache Jena Fuseki NoSQL database with the JAVA Example Application Framework -JADE client platform was used in testing environment. The consequences show that No Structure Query Language version beats the rel-database implementation.

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Big data and decision‐making in international business

Cited by 5 publications

References 57 publications

On Big Data, Management Systems and Corporate Culture

On Big Data, Management Systems and Corporate Culture

Impact of Big Data Analytics in Global Business for Sustainable Development

The Signiﬁcance of IoT: A Healthcare Systems Perspective

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