Innovative Research Methodologies in Management Volume I: Philosophy, Measurement and Modelling /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Moutinho, Luiz (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Sokele, Mladen (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Palgrave Macmillan, 2018.
• Έκδοση: 1st ed. 2018.
• Θέματα: Leadership.; Project management.; Knowledge management.; Management.; Industrial management.; Operations research.; Decision making.; Business Strategy/Leadership.; Project Management.; Knowledge Management.; Innovation/Technology Management.; Operations Research/Decision Theory.

 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, allow ing the exploration of future research perspectives. Volume I covers a range of research methodologies within the realms of philosophy, measurement and modelling, and focusses on meta-modern mixed methods such as neurophilosophy, diagnostic measurement, and emotivity and ephemera research. 

 1. Hosting a Successful Metamodern Party: Mixed Methods Management Research on the Web 2.0+; Anna K. Zarada, George G. Panigyrakis and Eugenia Tzoumaka -- 2. Why Consumer Psychology Needs Neurophilosophy; Paul M. W. Hackett and Gordon R. Foxall -- 3. Emotivity and Ephemera Research; Kip Jones -- 4. Abductive Thematic Network Analysis (ATNA) using ATLAS-ti; Komalsingh Rambaree -- 5. Diagnostic Measurement; Meghan Sullivan, Hongling Lao and Jonathan Templin -- 6. Incremental Optimization Mechanism for Constructing a Balanced Very Fast Decision Tree for Big Data; Hang Yang and Simon Fong -- 7. Bass Model with Explanatory Parameters; Mladen Sokele and Luiz Moutinho -- 8. A Brief Introduction to Evolutionary Algorithms from the Perspective of Management Science; Volker Nissen -- 9. Applications of Evolutionary Algorithms to Management Problems; Volker Nissen -- 10. An Exposition of the Role of Considerations Sets in a DS/AHP Analysis of Consumer Choice; Malcolm J. Beynon, Luiz A. Moutinho and Cleopatra Veloutsou.