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001358790 001__ 1358790
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001358790 019__ $$a1015827766
001358790 020__ $$a9783319643946
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001358790 0247_ $$a10.1007/978-3-319-64394-6$$2doi
001358790 035__ $$aSP(OCoLC)1021235374$$z(OCoLC)1015827766
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001358790 049__ $$aISEA
001358790 050_4 $$aHD28-70
001358790 08204 $$a658.4092$$223
001358790 24500 $$aInnovative Research Methodologies in Management :$$bVolume I: Philosophy, Measurement and Modelling /$$cedited by Luiz Moutinho, Mladen Sokele.
001358790 264_1 $$aCham :$$bSpringer International Publishing :$$bImprint :$$bPalgrave Macmillan,$$c2018.
001358790 300__ $$a1 online resource (XXXII, 282 pages 34 illustrations, 12 illustrations in color.) :$$bonline resource
001358790 336__ $$atext$$btxt$$2rdacontent
001358790 337__ $$acomputer$$bc$$2rdamedia
001358790 338__ $$aonline resource$$bcr$$2rdacarrier
001358790 347__ $$atext file$$bPDF$$2rda
001358790 5050_ $$a1. Hosting a Successful Metamodern Party: Mixed Methods Management Research on the Web 2.0+; Anna K. Zarada, George G. Panigyrakis and Eugenia Tzoumaka -- 2. Why Consumer Psychology Needs Neurophilosophy; Paul M.W. Hackett and Gordon R. Foxall -- 3. Emotivity and Ephemera Research; Kip Jones -- 4. Abductive Thematic Network Analysis (ATNA) using ATLAS-ti; Komalsingh Rambaree -- 5. Diagnostic Measurement; Meghan Sullivan, Hongling Lao and Jonathan Templin -- 6. Incremental Optimization Mechanism for Constructing a Balanced Very Fast Decision Tree for Big Data; Hang Yang and Simon Fong -- 7. Bass Model with Explanatory Parameters; Mladen Sokele and Luiz Moutinho -- 8. A Brief Introduction to Evolutionary Algorithms from the Perspective of Management Science; Volker Nissen -- 9. Applications of Evolutionary Algorithms to Management Problems; Volker Nissen -- 10. An Exposition of the Role of Considerations Sets in a DS/AHP Analysis of Consumer Choice; Malcolm J. Beynon, Luiz A. Moutinho and Cleopatra Veloutsou.
001358790 506__ $$aAccess limited to authorized users.
001358790 520__ $$aA seminal collection of research methodology themes, this two-volume work provides a set of key scholarly developments related to robustness, allowing scholars to advance their knowledge of research methods used outside of their own immediate fields. With a focus on emerging methodologies within management, key areas of importance are dissected with chapters covering statistical modelling, new measurements, digital research, biometrics and neuroscience, the philosophy of research, computer modelling approaches and new mathematical theories, among others. A genuinely pioneering contribution to the advancement of research methods in business studies, Innovative Research Methodologies in Management presents an analytical and engaging discussion on each topic. By introducing new research agendas it aims to pave the way for increased application of innovative techniques, allow ing the exploration of future research perspectives. Volume I covers a range of research methodologies within the realms of philosophy, measurement and modelling, and focusses on meta-modern mixed methods such as neurophilosophy, diagnostic measurement, and emotivity and ephemera research.
001358790 650_0 $$aBusiness.
001358790 650_0 $$aLeadership.
001358790 650_0 $$aProject management.
001358790 650_0 $$aKnowledge management.
001358790 650_0 $$aManagement.
001358790 650_0 $$aIndustrial management.
001358790 655_0 $$aElectronic books
001358790 7001_ $$aMoutinho, Luiz,$$eeditor.
001358790 7001_ $$aSokele, Mladen,$$eeditor.
001358790 77608 $$iPrint version:$$z9783319643939
001358790 852__ $$bebk
001358790 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-319-64394-6$$zOnline Access$$91397441.1
001358790 909CO $$ooai:library.usi.edu:1358790$$pGLOBAL_SET
001358790 980__ $$aBIB
001358790 980__ $$aEBOOK
001358790 982__ $$aEbook
001358790 983__ $$aOnline
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