| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Big data and data science engineering./ edited by Roger Lee. |
| other author: |
Lee, Roger. |
| Published: |
Cham :Springer Nature Switzerland : : 2024., |
| Description: |
x, 198 p. :ill. (some col.), digital ;24 cm. |
| [NT 15003449]: |
A Study on the Factors Influencing the Intention to Use MyData Service -- A Study on the Intention to Use the Urban Air Mobility Passenger Transportation Service -- A Study on the Integration of Endpoint Security Service Operations Management - Focusing on Cloud Services -- A Study on the Factors Affecting the Korean Financial Institution's Switching Intention to Open Source Software - Focused on System Software -- A Study on the Intention to Utilize Overseas Developers through Offshoring - Using the Value-Acceptance Model (VAM) -- The Role of Co-creation Experience and Switching Cost in the Relationship between Service Recovery and Customer Loyalty -- A Comprehensive Analysis of Security Measures for MyData in South Korea Based on AHP -- A Study on the Factors Influencing the Performance of Korea Venture Capital Funds -- A Research on Factors Influencing the Survival of Small Businesses: Focusing on Franchise Convenience Stores -- A Study on Purchase Intention for Innovative Products: Focusing on Oxygen-generating Air Purifiers -- The Impact of Company's ESG Activities on Corporate Reputation -- The Impact of ESG Activities in Midsize Manufacturing Companies on Purchase Intentions: Focusing on the Mediating Roles of Corporate Reputation, Brand Image, and Perceived Quality -- A Study on the Intention to Utilize Overseas Developers through Offshoring Approach and Strategy for Economic Cooperation between South and North Korea Using the Value-Acceptance Model (VAM) - Based on the Case Study of the Kaesong Industrial Complex -- A Study on the Intention to Use Home Network Services -- A Study on the Impact of Green Patent Data on ESG Environment Indicators. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Big data. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-53385-3 |
| ISBN: |
9783031533853 |