LEADER 04571nam 22005535 450 001 9911007354703321 005 20250530130741.0 010 $a3-031-84613-3 024 7 $a10.1007/978-3-031-84613-7 035 $a(CKB)39124550900041 035 $a(DE-He213)978-3-031-84613-7 035 $a(MiAaPQ)EBC32141262 035 $a(Au-PeEL)EBL32141262 035 $a(OCoLC)1523372283 035 $a(EXLCZ)9939124550900041 100 $a20250530d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDigital Marketing Strategies for Value Co-Creation 2e $eModels and Approaches for Online Brand Communities /$fby Wilson Ozuem, Michelle Willis 205 $a2nd ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Palgrave Macmillan,$d2025. 215 $a1 online resource (XXI, 311 p. 13 illus.) 311 08$a3-031-84612-5 327 $a1. Introduction and Overview -- 2. Segmentation in Data-Driven Online Brand Communities -- 3. Participation and Customer Involvement -- 4. Online Brand Communities and Loyalty Intentions -- 5. Consumer Engagement -- 6. Social Identity and OBCs -- 7. Brand and Customer Loyalty in OBCs -- 8. Brand Relationship and Engagement -- 9. Managing Service Failure and Recovery and OBCs -- 10. Value Co-Creation Sphere -- 11. Influencer Marketing -- 12. Artificial Intelligence and Customer Engagement: Insights and Challenges. 330 $aAmidst growing conceptual developments in the areas of value co-creation and digital marketing, the importance of Online Brand Communities (OBCs) has emerged to reinforce strategies. This book provides an introduction to a range of broad and debatable conceptual perspectives and mechanisms on the subject of OBC. Focusing on contemporary digital marketing issues, it offers a comprehensive examination of consumers? response to active engagement in such communities. Building on the very successful original publication, this thoroughly revised second edition includes two new chapters on data-driven segmentation and artificial intelligence and customer engagement. The book balances theory with practical approaches and gives serious treatment to an important area of digital marketing strategy, providing an important resource for scholars, students and practitioners. Wilson Ozuem is a Professor of Digital Marketing and Innovation at the University for the Creative Arts, UK. His primary expertise lies in digital marketing and fashion marketing, with a specific research focus on understanding the impacts of emerging computer-mediated marketing environments (CMMEs) on the fashion industry. Professor Ozuem is recognised as a leading international scholar in digital marketing and multichannel retailing. His research has been published in key journals, including the European Journal of Marketing, Journal of Business Research, Information Technology & People, Psychology & Marketing, Journal of Advertising Research, Internet Research, and many others. Michelle Willis, PhD, is a digital marketing lecturer at London Metropolitan University, UK. Her doctoral research focuses on customer loyalty and engagement within online brand communities. Her work examines emerging technologies, particularly the intersection of social networking sites and the development of marketing programmes, as well as online service failure and recovery strategies within the context of the millennial consumer generation. She has published numerous articles in journals such as Psychology & Marketing, Information Technology & People, and Internet Research. Her research has been presented at international conferences, including those organised by the American Marketing Association and the European Marketing Academy. 606 $aTelemarketing 606 $aInternet marketing 606 $aBranding (Marketing) 606 $aDigital Marketing 606 $aBranding 615 0$aTelemarketing. 615 0$aInternet marketing. 615 0$aBranding (Marketing) 615 14$aDigital Marketing. 615 24$aBranding. 676 $a658.872 676 $a659.144 700 $aOzuem$b Wilson$4aut$4http://id.loc.gov/vocabulary/relators/aut$01263851 702 $aWillis$b M. V.$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911007354703321 996 $aDigital Marketing Strategies for Value Co-Creation 2e$94390452 997 $aUNINA LEADER 03986nam 22006495 450 001 9910482964903321 005 20251113204044.0 010 $a3-030-59392-4 024 7 $a10.1007/978-3-030-59392-6 035 $a(CKB)4100000011728407 035 $a(DE-He213)978-3-030-59392-6 035 $a(MiAaPQ)EBC6461917 035 $a(PPN)253255821 035 $a(MiAaPQ)EBC29095805 035 $a(EXLCZ)994100000011728407 100 $a20210121d2021 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Metaheuristic Algorithms for Optimal Design of Structures /$fby Ali Kaveh 205 $a3rd ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (XIX, 881 p. 446 illus., 298 illus. in color.) 311 08$a3-030-59391-6 327 $aFrom the content: Particle Swarm Optimization -- Charged System Search Algorithm -- Magnetic Charged System Search -- Field of Forces Optimization. . 330 $aThis book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the author and his graduate students, consisting of Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field of Forces Optimization, Democratic Particle Swarm Optimization, Dolphin Echolocation Optimization, Colliding Bodies Optimization, Ray Optimization. These are presented together with algorithms which are developed by other authors and have been successfully applied to various optimization problems. These consist of Partical Swarm Optimization, Big Band Big Crunch algorithm, Cuckoo Search Optimization, Imperialist Competitive Algorithm and Chaos Embedded Metaheuristic Algorithm. Finally a multi-objective Optimization is presented to Solve large scale structural problems based on the Charged System Search algorithm, In the second edition seven new chapters are added consisting of Enhance colliding bodies optimization, Global sensitivity analysis, Tug of War Optimization, Water evaporation optimization, Vibrating System Optimization and Cyclical Parthenogenesis Optimization algorithm. In the third edition, five new chapters are included consisting of the recently developed algorithms. These are Shuffled Shepherd Optimization Algorithm, Set Theoretical Shuffled Shepherd Optimization Algorithm, Set Theoretical Teaching-Learning-Based Optimization Algorithm, Thermal Exchange Metaheuristic Optimization Algorithm, and Water Strider Optimization Algorithm and Its Enhancement. The concepts and algorithm presented in this book are not only applicable to optimization of skeletal structure, finite element models, but can equally be utilized for optimal design of other systems such as hydraulic and electrical networks. 606 $aComputational intelligence 606 $aMechanical engineering 606 $aStatics 606 $aMathematical optimization 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aMechanical Engineering 606 $aMechanical Statics and Structures 606 $aOptimization 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aMechanical engineering. 615 0$aStatics. 615 0$aMathematical optimization. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aMechanical Engineering. 615 24$aMechanical Statics and Structures. 615 24$aOptimization. 615 24$aArtificial Intelligence. 676 $a006.3 700 $aKaveh$b A$g(Ali),$f1948-$01596023 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910482964903321 996 $aAdvances in Metaheuristic Algorithms for Optimal Design of Structures$94407209 997 $aUNINA