Innovative Research Methodologies in Management - Volume II: Futures, Biometrics and Neuroscience Research (Paperback, Softcover reprint of the original 1st ed. 2018)

A seminal collection of research methodology themes, this two-volume work provides a set of key scholarly developments related to robustness, allowing scholars to advance their knowledge of research methods used outside of their own immediate fields. With a focus on emerging methodologies within management, key areas of importance are dissected with chapters covering statistical modelling, new measurements, digital research, biometrics and neuroscience, the philosophy of research, computer modelling approaches and new mathematical theories, among others. A genuinely pioneering contribution to the advancement of research methods in business studies, Innovative Research Methodologies in Management presents an analytical and engaging discussion on each topic. By introducing new research agendas it aims to pave the way for increased application of innovative techniques, allowing the exploration of future research perspectives. Volume II explores a range of research methodologies including the Spatial Delphi and Spatial Shang, Virtual Reality, the Futures Polygon and Neuroscience research.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	September 2018
First published:	2018
Editors:	Luiz Moutinho • Mladen Sokele
Dimensions:	210 x 148mm (L x W)
Format:	Paperback
Pages:	224
Edition:	Softcover reprint of the original 1st ed. 2018
ISBN-13:	978-3-319-87784-6
Categories:	Books > Business & Economics > Business & management > Business strategy Books > Computing & IT > Applications of computing > Pattern recognition Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Business & Economics > Business & management > Management & management techniques > Project management Books > Business & Economics > Business & management > Management of specific areas > Research & development management
LSN:	3-319-87784-4
Barcode:	9783319877846

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