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#25 Evaluation of economical effect from using Artificial Intelligence voice-chat bots on interaction with customers and their satisfaction

Abstract: The article discusses the problems of using chatbots in banks. The main directions of using AI technologies in the banking sector are identified and an economic assessment of the introduction of artificial intelligence technologies as a tool to increase customer loyalty is given. The main factors hindering the introduction of artificial intelligence [...] Load More technologies in banks are highlighted. For collecting information, methods of qualitative research were used; the results showed that the introduction of chatbots with voice input and sentiment analysis functions can improve the quality of customer service, making it more efficient, improve the quality of customer service, making it more efficient and convenient. In addition, the study showed that chatbots with artificial intelligence can reduce the need for staff members, but will not completely replace them. The directions of bank chatbots development are proposed in order to better match the processes of complex transformation of banking activities based on artificial intelligence technologies.
Keywords: Key words: Artificial Intelligence, chat-bot, customers, economy, marketing
Date of publication: July 2024 / Deadline: 30 April 2024

Region of the journal publication: Asia, Europe.

Scientific field: Economy, Computer Science, Decision Sciences (Information Systems and Management).

Indexing of the journal: Scopus (Q1-Q2).

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  • Author #3
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#12-comp Innovative E-commerce Development of Oil Sector’s IT Platform

Abstract: This paper talks about the purchasing and trading activities with the use of electronic technology and creating equal opportunities for producers and marketers and providing additional services by the organization of calculations and reducing the chain of intermediaries. This article explains various conceptual aspects of the development of information [...] Load More and communicative space of the oil industry’s different e-commerce enterprises based on the varying market transactions on the basis of electronic trading platforms. It has been demonstrated that the e-trading platforms provide extra benefits related to the simplification of the processes for the tenders’ participation to track the status of the parties’ relationship to the risk deduction and transaction, concerning the speculators’ control on prices. A scheme of participant interactions with the e-trading platforms at different stages of purchase, sale, and transactions has been developed by the authors. The decisions of problems of the internal business procedure management on behalf of electronic trading platforms are provided based on the Directum and Microsoft Dynamics NAV. The data exchange management in the Directum and Microsoft Dynamics is put forward on the basis of XML use. Findings showed that usage of the electronic trading platforms in the oil sectors tends to have a great contribution in the formation as well as the implementation of the unified policy in various spheres, including order placement; in addition, it enhances the interactions’ efficiency of the oil firms with the external environment.
Keywords: electronic commerce, trade and purchasing activities, oil industry, electronic trading platform.
Date of publication: August 2024 / Deadline: 29 April 2024

Journal title: available for those who has paid.

Region of the journal publication: Europe.

Scientific field: Business, Management and Accounting, Computer Science.

Indexing of the journal: Scopus Q1-2; WoS (Social Sciences Citation Index).

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#4-ec Dynamic model of diagnosing innovation ecosystem development parameters

Abstract: Innovative ecosystem is one of the tools to create conditions for achieving competitive positions that reduces vulnerability to possible factors of market instability. At the same time, the need for efficient measures to develop digital ecosystems implies not only an understanding of their qualitative content, but also an accurate quantitative assessment. [...] Load More The aim of this study is to develop a dynamic model to diagnose the development parameters of an innovation ecosystem. Factors of synergetic effect of mergers and acquisitions in the entrepreneurial structures and in the biological system were substantiated and systematized. Using the generalization method, motivational drivers for mergers and acquisitions were identified, while the synectic method provided a rationale for the analogies of behavior of subjects in ecosystems in role positions pf "predator" and "victim". The consequences of mergers and acquisitions in biological and economic systems are argumentative. The components of the innovation ecosystem as a dynamic system have been determined and the qualitative characteristics of linear dependencies between them under conditions of the equilibrium state of the ecosystem have been substantiated using a linear function. The Lotka-Volterra equations served as a tool to describe the behavior of two business units from the point of view of the predator-victim roles. The parameters of this predictive model are the components that ensure the dynamic state of the innovation ecosystem. In order to describe the process of acquisition and merger in the business environment, large business enterprises were defined as "predators", while small business enterprises were defined as "victims". The correlation analysis determined the inversely proportional and volatile nature of the relationship between the dynamic series of newly established business units and the number of bankrupt businesses. Different numerical values of the parameters of the innovation ecosystem functioning have been modeled characterizing different modifications of its state (equilibrium, gradual decline, complete extinction, and exponential growth). The study also determined parameters for modeling exponential growth of the ecosystem. The results are confirmed by the model adequacy indicators, which prove their reliability. The results of this study may be useful for diagnostics and management of the innovation ecosystem in order to ensure its sustainable growth by both business and government authorities.
Keywords: innovation, ecosystem, dynamic system, merger, acquisition, synergistic effect
Date of publication: September 2024 / Deadline: 29 April 2024

Journal title: available for those who has paid.

Region of the journal publication: Europe.

Scientific field: Multidisciplinary.

Indexing of the journal: Scopus Q1.

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