00821nam0-22003011i-450-9900025130004033210852742622000251300FED01000251300(Aleph)000251300FED0100025130020000920d1990----km-y0itay50------baENGNeural ComputingAn IntroductionR. BealeT. Jackson.BristolAdam Hilger1990.XV, 240 p.24 cmInformatica, Informatica applicata alla statistica008Beale,Russell367656Jackson,T.ITUNINARICAUNIMARCBK990002513000403321VII-C-341590MASMASNeural Computing439772UNINAING0104924nam 22005295 450 991100735890332120250601130235.03-031-86346-110.1007/978-3-031-86346-2(CKB)39160563800041(MiAaPQ)EBC32145015(Au-PeEL)EBL32145015(DE-He213)978-3-031-86346-2(EXLCZ)993916056380004120250601d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierRethinking Retail A Marketer’s Guide to Decoding Consumer Preference through Data Analytics /by Martin Block, Frank Mulhern, Larry DeGaris, Don Schultz2nd ed. 2025.Cham :Springer Nature Switzerland :Imprint: Palgrave Macmillan,2025.1 online resource (168 pages)3-031-86345-3 Chapter 1: A Holistic Model of Retail Marketing and Communications -- Chapter 2: Understanding Retail Consumers -- Chapter 3: Understanding Consumer Behaviors -- Chapter 4: Artificial Intelligence Applications -- Chapter 5: Privacy and Data Sharing -- Chapter 6: Manufacturer Relationships and Brands -- Chapter 7: External Influences on In-Store Shopping -- Chapter 8: In-Store Influences on Shopping -- Chapter 9: Digital Environment and Online Shopping -- Chapter 10: Customer Store Loyalty and Membership Clubs -- Chapter 11: Environmental Factors in Retailing -- Chapter 12: Requirements for Success.Martin Block is a Professor Emeritus in Medill’s Integrated Marketing Communications program at Northwestern University, USA. Block teaches graduate level marketing mix models, marketing research and analytical techniques, sales promotion, advertising management, direct marketing and entertainment marketing courses. Frank Mulhern is the Hamad bin Khalifa Al-Thani Professor of Integrated Marketing Communications at the Medill School at Northwestern University, USA. He is the Director of the Retail Analytics Council, a research center on retail technology, data and analytics. He specializes in research on retail marketing, the role of technology and analytics in retailing and e-commerce, and the integration of digital media and marketing. Larry DeGaris has conducted more than one hundred sponsorship measurement studies for many of the world's leading sponsors, including Bank of America, Pepsi, Home Depot, UPS, and many others. As Executive Director of the Medill Spiegel Research Center at Northwestern University, the home of IMC, Larry champions an integrated approach to marketing measurement with a focus on developing and integrating direct measures of effectiveness for below-the-line marketing. Don E. Schultz (1934-2020) was Professor of Integrated Marketing Communications at the Medill School at Northwestern University, Evanston, IL, as well as President of Agora, Inc., a global marketing, communication and branding consulting firm. Schultz was recognized as a seminal authority on Integrated Marketing Communication around the world, along with pioneering work in marketing accountability, branding, internal marketing, and marketing metrics. He was the author or co-author of 31 books and over 150 trade, academic, and professional articles. Retailing has changed rapidly in recent years with the pandemic accelerating the long-term growth of e-commerce. Drawing on a unique data set drawn from hundreds of thousands of interviews over almost two decades, this book takes a close look at changes in consumers’ shopping preferences, behaviors, and influences. Across a range of topics, the authors argue that the rise of e-commerce has coincided with a decline in consumer preferences—what people buy and where they buy it. This presents challenges for both retailers and manufacturers. The authors propose that the answer lies with consumers. A focus on consumers is fundamental to designing effective marketing strategies and campaigns. However, retailers and brands often have different perspectives about consumers. This book bridges that gap. The broad scope of topics and longitudinal data give retailers and brand marketers a roadmap for building and maintaining consumer preference in a rapidly changing and challenging environment.MarketingRetail tradeMarketingTrade and RetailMarketing.Retail trade.Marketing.Trade and Retail.658.834Block Martin44451Mulhern Frank1827458DeGaris Larry1827459Schultz Don1827460MiAaPQMiAaPQMiAaPQBOOK9911007358903321Rethinking Retail4395630UNINA03262nam 22005535 450 991090379450332120250807145405.0981-9765-16-110.1007/978-981-97-6516-4(CKB)36527797200041(DE-He213)978-981-97-6516-4(EXLCZ)993652779720004120241105d2024 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierIntelligent Industrial Alarm Systems Advanced Analysis and Design Methods /by Jiandong Wang, Wenkai Hu, Tongwen Chen1st ed. 2024.Singapore :Springer Nature Singapore :Imprint: Springer,2024.1 online resource (XIV, 425 p. 244 illus., 208 illus. in color.) 981-9765-15-3 Overview of Industrial Alarm Systems -- Optimal Design of Univariate Alarm Systems -- Optimal Design of Multivariate Alarm Systems -- Root-Cause Analysis of Alarm Events -- Analysis of Industrial Alarm Floods -- Alarm Visual Analytics and Applications.This book fills a gap in existing literature by providing a comprehensive academic perspective on industrial alarm systems, offering systematic methodologies, practical techniques, and visual analytic tools for engineers to improve system performance and design. Modern industrial plants rely on computerized monitoring systems to track hundreds of process variables in real time, enabling operators to maintain safe and efficient conditions. Automatic industrial alarm systems play a crucial role in alerting operators to abnormalities, such as high vessel levels, that could lead to unsafe conditions if left unaddressed. While contemporary alarm systems can be plagued with issues like nuisance alarms, recent academic research has introduced advanced methodologies, like Markov chain theory and Bayesian estimation, to optimize alarm parameters and enhance system performance. By integrating these theoretical advancements into practical applications, the goal is to develop intelligent industrial alarm systems that leverage historical data and process knowledge to predict and prevent alarm floods, ultimately ensuring safer and more efficient plant operations.Automatic controlRoboticsAutomationProduction engineeringIndustrial engineeringControl, Robotics, AutomationProcess EngineeringIndustrial AutomationAutomatic control.Robotics.Automation.Production engineering.Industrial engineering.Control, Robotics, Automation.Process Engineering.Industrial Automation.629.8Wang Jiandongauthttp://id.loc.gov/vocabulary/relators/aut1848552Hu Wenkaiauthttp://id.loc.gov/vocabulary/relators/autChen Tongwenauthttp://id.loc.gov/vocabulary/relators/autBOOK9910903794503321Intelligent Industrial Alarm Systems4435674UNINA