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Geada, N. (2023). Change management science innovation methodologies. In John Wang;  (Ed.), Encyclopedia of data science and machine learning. (pp. 1614-1626).: IGI Global.

N. F. Geada,  "Change management science innovation methodologies", in Encyclopedia of data science and machine learning, John Wang; , Ed., IGI Global, 2023, pp. 1614-1626

@incollection{geada2023_1783671502361,
	author = "Geada, N.",
	title = "Change management science innovation methodologies",
	chapter = "",
	booktitle = "Encyclopedia of data science and machine learning",
	year = "2023",
	volume = "",
	series = "",
	edition = "",
	pages = "1614-1614",
	publisher = "IGI Global",
	address = "",
	url = "https://www.igi-global.com/chapter/change-management-science-innovation-methodologies/317573"
}

TY  - CHAP
TI  - Change management science innovation methodologies
T2  - Encyclopedia of data science and machine learning
AU  - Geada, N.
PY  - 2023
SP  - 1614-1626
DO  - 10.4018/978-1-7998-9220-5.ch096
UR  - https://www.igi-global.com/chapter/change-management-science-innovation-methodologies/317573
AB  - A question of central importance for researchers and practitioners is how information technology can help organizations to survive and thrive in turbulent and constantly changing business environments. The objective of this study is to identify the leading trends that have influenced the research and the prominent themes published using a scientific approach. Major themes discussed in this article include change management, digital transformation, digitalization, sustainability. Some areas of research have been extensively studied, while others are starting recently. In addition, trends are identified, and different future research themes are proposed.
ER  -