Communications in computer and information science, Journal Year: 2024, Volume and Issue: unknown, P. 66 - 83
Published: Dec. 22, 2024
Language: Английский
Communications in computer and information science, Journal Year: 2024, Volume and Issue: unknown, P. 66 - 83
Published: Dec. 22, 2024
Language: Английский
The International Journal of Management Education, Journal Year: 2024, Volume and Issue: 22(3), P. 101019 - 101019
Published: July 3, 2024
Language: Английский
Citations
18Review of Managerial Science, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 24, 2025
Language: Английский
Citations
2Equilibrium Quarterly Journal of Economics and Economic Policy, Journal Year: 2024, Volume and Issue: 19(2), P. 391 - 428
Published: June 30, 2024
Research background: In the rapidly evolving milieu of digital entrepreneurship, integration artificial intelligence (AI) technologies, exemplified by ChatGPT, has witnessed burgeoning prominence. However, there remains a dearth understanding regarding relationships between ChatGPT adoption in entrepreneurship and individuals’ cognitive career processes entrepreneurship. Purpose article: The primary aim research is to adopt Social Cognitive Career Theory moderated mediation model unravel intricate dynamics that characterize impact entrepreneurial intentions, underlying mechanism self-efficacy technostress. Methods: Drawing on sample 1326 respondents Vietnam using stratified sampling approach, first, Cronbach’s alpha confirmatory factor analysis were used test reliability validity scales; after that, Harman’s single-factor common latent employed method bias; finally, PROCESS macro approach was utilized hypothesized model. Findings & value added: Our findings reveal positive impacts intentions. Moreover, found significantly mediate intention. Furthermore, technostress emerges as significant negative moderator, influencing both This study thus contributes literature advancing our how AI technologies shape aspirations, offering valuable insights for scholars practitioners navigating transformative landscape
Language: Английский
Citations
9Thunderbird International Business Review, Journal Year: 2024, Volume and Issue: 66(2), P. 127 - 133
Published: Feb. 19, 2024
Abstract Artificial intelligence is poised to transform international business through the adoption of new digital technology practices as part fourth industrial revolution. The how, when, and why artificial implementation in still somewhat unknown but will likely significantly influence performance outcomes, market interpretation, risk prediction, consumer interactions, technology‐based metrics. With greater emphasis on intelligence‐based tools, future practice require literacy. This means managers need improve way they analyze terms appreciating its usefulness while maintaining privacy mitigation strategies. In this editorial, we discuss current developments regarding with goal identifying research areas importance.
Language: Английский
Citations
4Sustainable Futures, Journal Year: 2025, Volume and Issue: unknown, P. 100688 - 100688
Published: May 1, 2025
Language: Английский
Citations
0International Research Journal of Multidisciplinary Scope, Journal Year: 2024, Volume and Issue: 05(02), P. 108 - 121
Published: Jan. 1, 2024
This research aims to find contributors who have a major impact, observe the latest developments, and identify domains supporting factors that can guide future in field artificial intelligence (AI) human resource management integration. was conducted Within framework of many activities practices are present organisations. study utilises methodology involves conducting bibliometric analysis utilising Biblioshiny app. The sample for consists 298 papers obtained from Scopus database. objective is discover still relevant this theme. Three questions be identified were drawn up performed on documents retrieved scopus It found main focus very little despite impact resources enormous. Several studies investigated stakeholder perspectives practice applying application resources. hoped provide guidelines directions advancement use AI HR several organizations future.
Language: Английский
Citations
1Management Review Quarterly, Journal Year: 2024, Volume and Issue: unknown
Published: April 11, 2024
Language: Английский
Citations
0Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)
Published: Jan. 1, 2024
Abstract Artificial Intelligence is one of the important tools to realize effective management human resources. The article firstly investigates and finds out problems current salary satisfaction status employees column A a news center, designs job prediction model based on collaborative filtering algorithm separation standard Logistic regression results questionnaire, finally calculates economic benefits center. performance bonus center in 2019 showed steady upward trend as whole, with 107,908 yuan January 198,320 December. market value increased steadily 2020, reaching 171,134 230,370 In 2021, ~ June has not changed much, which 112,099 122,076 June. It can be concluded that proposed this paper high accuracy predicting column, shows an increasing year by year. seen from analysis after operating financial have been for better.
Language: Английский
Citations
0Communications in computer and information science, Journal Year: 2024, Volume and Issue: unknown, P. 66 - 83
Published: Dec. 22, 2024
Language: Английский
Citations
0