Finance research letters, Journal Year: 2025, Volume and Issue: unknown, P. 107023 - 107023
Published: Feb. 1, 2025
Language: Английский
Finance research letters, Journal Year: 2025, Volume and Issue: unknown, P. 107023 - 107023
Published: Feb. 1, 2025
Language: Английский
Electronics, Journal Year: 2025, Volume and Issue: 14(4), P. 800 - 800
Published: Feb. 19, 2025
The integration of artificial intelligence (AI) into project management (PM) transforms how projects are planned, executed, and monitored. main objective this study is to provide a comprehensive bibliometric analysis exploring trends, thematic areas, future directions in AI applications by examining publications from the last decade. This research uncovers dominant themes such as machine learning, decision making, information management, resource optimization. findings highlight growing use enhance efficiency, accuracy, innovation PM processes, with recent trends favoring data-driven approaches emerging technologies like generative AI. Geographically, China, India, United States lead publications, while Kingdom Australia show high citation impact. landscape, including AI-enhanced decision-making frameworks cost analysis, demonstrates diversity PM. An increased interest its impact on managers was observed. contributes field offering structured overview defining challenges opportunities for integrating practices perspectives technologies.
Language: Английский
Citations
2Finance research letters, Journal Year: 2025, Volume and Issue: unknown, P. 107041 - 107041
Published: Feb. 1, 2025
Language: Английский
Citations
2International Review of Economics & Finance, Journal Year: 2025, Volume and Issue: unknown, P. 104002 - 104002
Published: Feb. 1, 2025
Language: Английский
Citations
2International Journal of Production Economics, Journal Year: 2023, Volume and Issue: 262, P. 108932 - 108932
Published: May 27, 2023
Language: Английский
Citations
36The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 882, P. 163441 - 163441
Published: April 18, 2023
Language: Английский
Citations
35Resources Policy, Journal Year: 2023, Volume and Issue: 83, P. 103616 - 103616
Published: April 27, 2023
Language: Английский
Citations
27Information Systems Journal, Journal Year: 2024, Volume and Issue: 34(5), P. 1466 - 1492
Published: Jan. 16, 2024
Abstract Although research has shown that leveraging technologies and creating a new organisational identity are critical to staying competitive in digital business environment, these assumptions have focused mainly on operational performance exclude the impact workplace employees. The challenge of attracting employees context transformation is leading organisations explore drivers commitment. Further needed into key factors bind an organisation. This study seeks advance knowledge this individual frontier by proposing model which leadership continuous learning environment mediate capabilities Testing our through empirical from Spain shows effect both mediators. paper thus contributes IS literature identifying two mediators their role achieving These results also suggest way approach opening level charting path for future study. Moreover, great practical value, generating implications avenues boundary conditions frontier.
Language: Английский
Citations
14Economic Analysis and Policy, Journal Year: 2024, Volume and Issue: 83, P. 60 - 79
Published: June 9, 2024
Language: Английский
Citations
10Business & Information Systems Engineering, Journal Year: 2024, Volume and Issue: 66(4), P. 489 - 505
Published: Jan. 23, 2024
Abstract Complex digitalization and sustainability challenges shape today’s management agendas. To date, the dedication of Information Systems research to both has not been equal in terms effort reward. Building capabilities leverage synergetic potential digital transformation may enhance organizational performance imply new value creation for common good. uncover such potential, this work conceptualizes “twin transformation” construct as a value-adding reinforcing interplay between efforts that improve an organization by leveraging technologies enable guide progress sustainability. The twin conceptualization is complemented with capability framework drawing from dynamic theory. This contributes descriptive knowledge transformation, setting foundation further theorizing on enabling organizations transform.
Language: Английский
Citations
9International Business Review, Journal Year: 2024, Volume and Issue: 33(4), P. 102271 - 102271
Published: March 5, 2024
Language: Английский
Citations
9