Bøger af V. Kumar

This book gives an indispensable guide to navigating the shift in customer behavior and discovers how to rally their resources, cultivate capabilities, and forge strategies that harness cutting-edge technologies. In today's tech-centric world, customers crave lightning-fast digital experiences and demand instant solutions. In response, firms are changing the way they do business by accelerating the application of new age technologies, revamping processes, building new organizational structures, and innovating new business models.The authors unveil the secrets of integrating diverse data sources, principles of Marketing 5.0 and employing advanced techniques to unearth profound insights about the customers.This work is the ticket to the latest in AI, machine learning, drones, and other game-changing technologies. Stay ahead of the curve by learning not just what tech to use, but how, when, and why to deploy it in this digital age.For the trailblazers with the influence and resources to reshape marketing strategies, this book is the essential read. Executives climbing the corporate ladder will find it a compass, unraveling how new age technologies dance with both traditional and emerging marketing practices. And for MBA students hungry for insights on navigating the digital era's competitive landscape, this book is the treasure trove of tools and real-world cases. Dive in and chart the course in the tech-driven marketing landscape!

In recent years, the concept of customer engagement has evolved as a powerful tool in the managerial toolkit of firms to incorporate a profitable approach to customer management. There is a pressing need for an authoritative book that communicates the fundamentals of profitable customer engagement by proposing a customer engagement value framework. This book, Valuing Customer Engagement, is first of its kind on customer engagement that outlines the theory and methods of engaging customers profitably in business-to-consumer and business-to-business settings.Written by world-renowned scholar and thought leader V. Kumar, this seminal work book explains the definitions of the metrics within the CEV framework and analyzes ways to measure and maximize these metrics that can help in engaging customers profitably. Dr. Kumar also reveals the interrelationships between these metrics, i.e. how each metric impacts the other, with examples from all over the world.This updated edition introduces of Customer Valuation Theory as a way of quantifying direct and indirect engagement value while presenting newer applications and case studies. With practical examples of companies that have benefited by implementing these strategies, this guide is a must have for business executives who want to maximize companies profitability as well as students wanting to learn how to engage customers and build loyalty.

Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientists and engineers are turning to data mining techniques. This book is a collection of papers based on the first two in a series of workshops on mining scientific datasets. It illustrates the diversity of problems and application areas that can benefit from data mining, as well as the issues and challenges that differentiate scientific data mining from its commercial counterpart. While the focus of the book is on mining scientific data, the work is of broader interest as many of the techniques can be applied equally well to data arising in business and web applications. Audience: This work would be an excellent text for students and researchers who are familiar with the basic principles of data mining and want to learn more about the application of data mining to their problem in science or engineering.

The natural mission of Computational Science is to tackle all sorts of human problems and to work out intelligent automata aimed at alleviating the b- den of working out suitable tools for solving complex problems. For this reason ComputationalScience,thoughoriginatingfromtheneedtosolvethemostch- lenging problems in science and engineering (computational science is the key player in the ?ght to gain fundamental advances in astronomy, biology, che- stry, environmental science, physics and several other scienti?c and engineering disciplines) is increasingly turning its attention to all ?elds of human activity. In all activities, in fact, intensive computation, information handling, kn- ledge synthesis, the use of ad-hoc devices, etc. increasingly need to be exploited and coordinated regardless of the location of both the users and the (various and heterogeneous) computing platforms. As a result the key to understanding the explosive growth of this discipline lies in two adjectives that more and more appropriately refer to Computational Science and its applications: interoperable and ubiquitous. Numerous examples of ubiquitous and interoperable tools and applicationsaregiveninthepresentfourLNCSvolumescontainingthecontri- tions delivered at the 2004 International Conference on Computational Science and its Applications (ICCSA 2004) held in Assisi, Italy, May 14-17, 2004.

The natural mission of Computational Science is to tackle all sorts of human problems and to work out intelligent automata aimed at alleviating the b- den of working out suitable tools for solving complex problems. For this reason ComputationalScience,thoughoriginatingfromtheneedtosolvethemostch- lenging problems in science and engineering (computational science is the key player in the ?ght to gain fundamental advances in astronomy, biology, che- stry, environmental science, physics and several other scienti?c and engineering disciplines) is increasingly turning its attention to all ?elds of human activity. In all activities, in fact, intensive computation, information handling, kn- ledge synthesis, the use of ad-hoc devices, etc. increasingly need to be exploited and coordinated regardless of the location of both the users and the (various and heterogeneous) computing platforms. As a result the key to understanding the explosive growth of this discipline lies in two adjectives that more and more appropriately refer to Computational Science and its applications: interoperable and ubiquitous. Numerous examples of ubiquitous and interoperable tools and applicationsaregiveninthepresentfourLNCSvolumescontainingthecontri- tions delivered at the 2004 International Conference on Computational Science and its Applications (ICCSA 2004) held in Assisi, Italy, May 14-17, 2004.

Provides the methods of measuring customer lifetime value (CLV), the strategies for developing customer-centric strategies, the implementation of CLV strategies in a B2B and B2C setting, and the challenges faced by an organisation in implementing a CLV-based framework.

This book closely examines the strategic and tactical aspects of customer relationship management as it stands today. Benefiting advanced students and working executives, the book stresses economic customer value as the guiding concept for marketing decisions.

Provides global/international view of marketing and marketing research; how to conduct research

Deals with seven major trematode-induced disease groups, namely, schistosomiasis, paragonimiasis, fascioliasis and fasciolopsiasis, dicrocoeliasis and eurytremiasis, clonorchiasis and opisthorchiasis, paramphistomiasis, and diseases due to intestinal trematode infections.