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New IT Service Tracks Study based on Product Trends and Typical Forecast Model Analysis

Published: 15 March 2023 Publication History

Abstract

New industries and technologies continue to emerge as a result of the digital economy's explosive growth, by creating new markets and tracks for economic advancement. A practical issue worth doing research for business is how to select and acquire better advantages in the new tracks. In this paper, we analyze the product development trends, use multiple regression analysis and Vector Auto-Regression (VAR) model to study the key factors affecting the development of potential tracks, and carry out empirical analysis on the identified development tracks to make a prediction on the track development and help relevant enterprises to choose new tracks and layout in advance.

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EITCE '22: Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering
October 2022
1999 pages
ISBN:9781450397148
DOI:10.1145/3573428
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 March 2023

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EITCE 2022

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Overall Acceptance Rate 508 of 972 submissions, 52%

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