Comparative Review: Leadership Styles in the Context of Smart Environments
Lecture Notes in Networks and Systems, ISSN: 2367-3389, Vol: 837 LNNS, Page: 531-536
2024
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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Conference Paper Description
The fusion of leadership and technology has ushered in a new era of possibilities in our quickly developing digital age. The relevance of leadership within these settings has increased as smart surroundings become more interwoven into our daily lives, posing both difficulties and possibilities. The goal of this mini-review is to analyze the leadership philosophies that work best in smart workplaces and to consider how machine learning may be used to improve leadership skills. The distinctive characteristics and advantages of diverse leadership styles will be revealed as the investigation goes further into the complexities of leadership within smart settings. This analysis evaluates leadership styles in smart environments, emphasizing adaptability, sustainability, and emerging trends, while also stressing inclusivity and diversity, providing valuable insights for leaders and organizations in this dynamic landscape. This analysis of leadership styles in smart environments offers practical insights and guidance for leaders, enhancing their adaptability, sustainability, and alignment with emerging trends.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85188422448&origin=inward; http://dx.doi.org/10.1007/978-3-031-48465-0_71; https://link.springer.com/10.1007/978-3-031-48465-0_71; https://dx.doi.org/10.1007/978-3-031-48465-0_71; https://link.springer.com/chapter/10.1007/978-3-031-48465-0_71
Springer Science and Business Media LLC
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