Über uns

À propos de nous

Nachhaltigkeit

Durabilité

Open Access

Karriere

Carrière

Datenschutz

Protection des données

Impressum

Mentions légales

Zahlung und Lieferung

Paiement et livraison

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Publikationen

Publications

Literatur

Onlinemodule LEXIA

Modules en ligne LEXIA

Bücher

Livres

Buchreihen

Collections

Datenbanken

recht.ch

Studienliteratur

Littérature pour les études

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Autorenstimmen

Témoignages

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Vision und Mission

Vision et mission

Unser Magazin

Notre magazine

Unternehmenskultur

Culture d'entreprise

Partner

Partenaires

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Unsere Funktionen

Nos fonctions

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Gesamtkatalog

Catalogue complet

Paczkowski W: Pricing Analytics

Pricing Analytics

Models and Advanced Quantitative Techniques for Product Pricing

Use this best-selling guide to learn how to construct and design effective survey material that will capture the customer insight and feedback you want to achieve.

How to Plan, Structure and Write Survey Material for Effective Market Research

Questionnaire Design

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

World Scientific Lecture Notes In Economics And Policy

This book attempts to understand the operation and properties of 'market economies'. We do this by carefully examining, refining and in some cases extending the major theorems that Microeconomics has established in response to the Walrasian conjecture. We critically evaluate theorems and results, that assert the existence, uniqueness, stability, optimality and empirical relevance of Walrasian equilibrium states. As a result of our work, we attempt to comment on the wisdom of recommending that socio-economic systems operate as a collection of deregulated competitive markets.

Lectures In General Equilibrium Microeconomics

This book looks at Generative Artificial Intelligence (GAI) and Knowledge Management Systems (KMS). It explains the design considerations to implement Generative AI in practice. The book looks at the evolving digital environment and discusses how organizations may effectively manage knowledge through emerging technologies. Chapters cover theory, design and implementation, and case studies from industry players. These case studies will focus on organization implementation experiences to draw out applicable frameworks, principles and best practices. This provides readers with essential insights into future technology development trends. Providing a methodological approach to designing and deploying GAI-based KMS in business, this book will appeal to academic researchers, industrial practitioners, students, and anyone interested in GAI-based KMS.

Concepts, Design, and Case Studies

Generative Artificial Intelligence in Knowledge Management Systems

Strategies to Make Your Content Intentional, Engaging and Effective

High-Impact Content Marketing

This groundbreaking book provides a comprehensive analysis of digital transformation and strategic leadership from both management and technical perspectives. While organisations strive to enhance productivity through digital transformation and emerging technologies like AI, many struggle to understand the requirements for successful implementation.Drawing on decades of industry experience as a technologist and consultant, the book delivers actionable guidance on:<ul> <li>Developing integrated organisational and digital transformation strategies</li> <li>Navigating the challenges and opportunities presented by emerging technologies</li> <li>Implementing best practices for sustainable digital transformation</li> <li>Maximising benefits while mitigating potential risks</li> <li>Driving business growth and improving profitability through technology adoption</li> </ul>Through extensive case studies, the book demonstrates the tangible benefits of effective transformation across various organisational functions. It serves as a practical roadmap for leaders seeking to harness the power of digital technologies while avoiding common pitfalls in the transformation journey.

A Leader's Guide to Strategy and AI Technologies

Digital Transformation

New Information Communication Technologies in the Digital Era

Test more, assume less. Harvard Business School professor Stefan Thomke reveals why leaders should adopt a scientific mindset--and how experimentation drives smarter decisions in an uncertain world.Every day, leaders face high-stakes decisions about products, customers, strategy, and resource allocation. Yet many of these decisions rely on untested assumptions. Overconfidence, gut instinct, and "what worked before" often substitute for evidence, leaving companies exposed to costly missteps. How can leaders navigate today's uncertainty and complexity to make smarter choices?In The Scientific Mindset: How Thinking Scientifically Drives Better Business Decisions, Harvard Business School professor and innovation expert Stefan Thomke offers a compelling solution: adopt a scientific mindset. Drawing on decades of research and using real-world examples, Thomke shows how challenging assumptions, articulating testable hypotheses, and running disciplined experiments transform decision-making. This concise, practical guide introduces a new leadership model grounded in evidence, not just intuition.Through vivid stories--from famous science experiments to companies such as Amazon and Lego reinventing themselves--Thomke demonstrates how experimentation uncovers hidden truths, mitigates risk, and inspires innovation. Readers will learn how to ask deeper questions, design trustworthy experiments, build cultures that value curiosity over certainty, and develop AI systems that ensure reliability while scaling testing. Along the way, Thomke reveals why intellectual humility and a willingness to be proven wrong are hallmarks of great leadership.Adopting a scientific mindset isn't just smart--it's essential for leading effectively today. Whether you're launching a product, rethinking strategy, or making sense of a rapidly changing world, The Scientific Mindset is your road map for making better decisions.

How Thinking Scientifically Drives Better Business Decisions

The Scientific Mindset

Creative thinking, which the most successful companies that develop the most innovative products rely on, has evolved into to creative resilience - the technique to persevere with problems and solve them faster. The approach will help business leaders create both the physical and mental agility to build an operating environment that supports successful ideation and adopts different ways of approaching complex problems. The reader will become more 'creatively resilient' and flexible to adopt non-habitual modes of thought that move them towards creative solutions that they can apply to very specific business and technical challenges. The basic framework is called 'Stormblending' - a four-phased approach that focuses on a collection of different tools that can be applied to deliver the value from each phase. The four phases are presented in the context of the full product development lifecycle. They are: <ol> <li>Immersion (Ethnographically inspired Contextual Inquiry/Voice of customer). </li> <li>Representation (How to best represent and frame specific problems and opportunities to create the right conditions for successful idea generation). </li> <li>Divergent thinking techniques to disrupt and reframe the problem as the reader will learn how to adopt non-habitual modes of thought. </li> <li>Emergence and Discovery (this when most we experience the 'A-Ha!' moment) </li> </ol>Traditionally, most companies make the mistake of stressing ideation only without thought to how the ideas are then prioritised, built upon, and turned into a reality for profitable growth. Practitioners and business professionals, from start-ups to global corporations, will gain an initial overview on creativity, the purpose of ideation, and what it means to translate insights into innovation in real-time - in the boardroom, during periods of introspection, or during the facilitation of cross functional teams and workshops that demand the specialist skills provided in this book.

How to Accomplish Successful Ideation through Creative Resilience

Creative Thinking for Business Leaders

Rationality, Ethics, and the Art of Decision-Making

Choose Wisely

Navigate the MBA research journey with clear methodology, structure and confidence. Research Methods for MBA Students by Emmanuel Mogaji is a concise and practical textbook designed for postgraduate students undertaking business research modules and projects. Recognizing the time pressures and applied focus of MBA and Masters programs, it provides a structured pathway for completing a dissertation or company-based research project within tight deadlines. Mirroring the key stages of the research process, the book guides students through topic selection, refining research questions, conducting a focused literature review and choosing appropriate qualitative or quantitative methods. It then supports effective data collection, rigorous analysis and the presentation of meaningful, actionable findings. A distinctive three-month completion framework provides a clear timeline that aligns with MBA program structures, helping students manage milestones and maintain momentum. Grounded in real-world examples from organizations including AstraZeneca, Bentley Motors, the NHS, Holland and Barrett and Railway Operators, Emmanuel Mogaji connects academic research principles with applied business problem solving. This textbook includes: - Clear learning outcomes aligned to postgraduate research modules - Worked examples demonstrating each stage of the research process - Key concepts and terms to support methodological understanding - Exercise questions and real-world examples with applied tasks &gt;Supported by online lecturer slides and a comprehensive lecturer's manual with exercise answers, Research Methods for MBA Students equips postgraduate learners with the skills and structure needed to deliver credible, practice-oriented research.

Completing Projects and Dissertations

Research Methods for MBA Students

Pricing Analytics

Autres titres sur ce thème