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This book includes selected papers presented at the International Conference on Marketing and Technologies (ICMarkTech 2021), held at University of La Laguna, Tenerife, Spain, during December 2–4, 2021. It covers up-to-date cutting-edge research on artificial intelligence applied in marketing, virtual and augmented reality in marketing, business intelligence databases and marketing, data mining and big data, marketing data science, web marketing, e-commerce and v-commerce, social media and networking, geomarketing and IoT, marketing automation and inbound marketing, machine learning applied to marketing, customer data management and CRM, and neuromarketing technologies.

This book presents the proceedings of the NeuroIS Retreat 2021, June 1-3, virtual conference, reporting on topics at the intersection of information systems (IS) research, neurophysiology and the brain sciences. Readers will discover the latest findings from top scholars in the field of NeuroIS, which offer detailed insights on the neurobiology underlying IS behavior, essential methods and tools and their applications for IS, as well as the application of neuroscience and neurophysiological theories to advance IS theory.

The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.•The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named:Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models •The conference was held virtually.Chapter “Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.•The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named:Part I: ICCS Main TrackPart II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks;Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer SciencePart III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational HealthPart IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart SystemsPart V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and SimulationPart VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeli

This book devises an alternative conceptual framework to understand digital transformation in the cultural heritage sector. It achieves this by placing a high importance on the role of technology in the strategic process of modeling and developing cultural services in the digital era. The focus is on how marketing activities and customer processes are being transformed by digital technologies to create better value, which can also be communicated to customers through an engaged and personalized approach. Much of the digital debate in cultural heritage is still in infancy. Some existing studies are anecdotal and often developed within the domain of established research streams, including studies with some technological aspects addressed partially and from an episodic or periodic perspective. Moreover, the critical changes that have emerged in the cultural management landscape are yet to be highlighted. This book fills that gap and provides a perspective on the cultural heritage sector, which uses the new social and technology landscape to describe the digital transformation in cultural heritage sectors. The authors highlight an inclusive perspective that addresses marketing strategy in the digital era as a proactive, technology-enabled process by which firms collaborate with customers to jointly create, communicate, deliver, and sustain experience and value co-creation.

This textbook equips students interested in becoming researchers with the essential nontechnical skills. After an introduction to graduate schools, it discusses preparing for research, reading and organizing literature, writing research articles and other documents, publishing papers, presenting research findings at conferences, collaboration with advisors and other researchers, patent applications, research ethics, and how to improve research by learning about the history of science. These nontechnical skills are just as important as technical ones in terms of becoming a successful graduate student, yet they have seldom been taught systematically in courses. Further, they can bridge the gap from the classroom to the lab, making one of the most critical transition periods—from student to researcher—smoother and more enjoyable. The book features a wealth of real-life examples and exercises, which readers can easily apply in their own research. Intended mainly for graduate andupper-undergraduate students just embarking on lab research, it can also be used as a textbook or reference guide for courses on research methodology and related topics.

This book introduces readers to essential technology assessment and forecasting tools, demonstrating their use on the basis of multiple cases. As organizations in the high-tech industry need to be able to assess emerging technologies, the book presents cases in which formal decision-making models are developed, providing a framework for decision-making in the context of technology acquisition and development. Applications of different technology forecasting tools are also discussed for a range of technologies and sectors, providing a guide to keep R&D organizations abreast of technological trends that affect their business. As such, the book offers a valuable the theoretical and practical reference guide for R&D managers responsible for emerging and future technologies.

This book includes both theoretical results and application cases of analytical modeling based research related to the fashion and textile business. It responds to calls for deeper theoretical foundations as an expansion of research methodology in a field that has to date mostly relied on case studies and empirical analysis. Although there are a growing number of related publications which employ an analytical approach in conducting theoretical and applied research in the fashion and textile business, this book fills an essential gap by providing a comprehensive reference source that introduces the methodology and provides state-of-the-art findings on the topic. Covering an important and well-established industry, Analytical Modeling Research in Fashion Business is a pioneering text and essential reading for researchers and practitioners in the fashion and textiles industry alike.

The four-volume set LNCS 9296-9299 constitutes the refereed proceedings of the 15th IFIP TC13 International Conference on Human-Computer Interaction, INTERACT 2015, held in Bamberg, Germany, in September 2015. The 47 papers included in the second volume are organized in topical sections on computer-supported cooperative work and social computing; end-user development; evaluation methods / usability evaluation; eye tracking; gesture interaction; HCI and security; HCI for developing regions and social development; HCI for education.

This book constitutes the refereed contest reports of the 1st International Workshop, VAAM 2014, held in Stockholm, Sweden, in August 2014. The 10 revised full papers presented were carefully reviewed and selected from 13 submissions. The aim of this workshop is to provide an overview of state of the art methods for audience measurements in retail and Digital Signage, end-users attraction, and stimulate the creation of appropriate benchmark dataset to be used as reference for the development of novel audience measurement algorithms. Papers are invited under the following topics: demographics and modeling consumer behaviour.