Bøger i Management for Professionals serien

This book presents the theory of integrating implification and it provides a profound evidence based study of Buurtzorg Nederland. The book demonstrates theory building by using the Grounded Theory Methodology as a way to contribute to management theory.

This book is published open access under a CC BY 4.0 license. This open access book offers something for everyone working with market segmentation: practical guidance for users of market segmentation solutions;

This book is a "scientific" introduction to management consulting that covers elementary and more advanced concepts, such as strategy and client-relationship.

This book is the first to present a rich selection of over 30 real-world cases of how leading organizations conduct Business Process Management (BPM). All cases are presented using a uniform structure in order to provide valuable insights and essential guidance for students and practitioners.

Project Management Handbook

This book presents a revolutionary approach to service innovation, combining an interdisciplinary perspective with a robust theoretical framework. Integrating design thinking and systems engineering, it offers a fresh view on evolving service industries. The book is enriched with global case studies, bridging theory and real-world application, making it an essential resource for both professionals and students. It stands out by analyzing new business models and offering both qualitative and quantitative methods for service design, making it a must-read for those seeking to excel in the dynamic service market.

This book presents a new management model that has evolved in Silicon Valley. This book imbibes latest results from a year-long study of Google's approaches to management, and finds similar principles being applied at companies including, Facebook, LinkedIn, Twitter, Tesla Motors, and Apigee.

Changes in the environment such as trends, drivers, and influencing factors affect entrepreneurship and intrapreneurship in several ways. The changes of the environmental factors in several dimensions such as political, economic, socio-cultural, technological, ecological, and legal. On the one hand, the environmental changes include risk for existing business models. On the other hand, they include opportunities for new business models, entrepreneurship, intrapreneurship, and new insights in marketing.This book provides empirical and conceptual papers and studies that tackle the challenges and opportunities for entrepreneurship in the digital era. It offers professionals, managers, researchers, lecturers, and students from the fields of entrepreneurship, innovation management, and business development valuable insight into the topic of entrepreneurship in times of digitalization.

Discover a transformative book that equips aspiring 'researcher entrepreneurs' with invaluable strategies to avoid common start-up mistakes. Unveiling a fresh perspective, it emphasizes that technological researchers already possess critical entrepreneurial traits, merely needing the right approach to succeed. From preparing and setting up a tech start-up to illuminating best practices, this book sets you on the path to triumphant technological entrepreneurship.This essential guide tackles the paradox of start-up failures, even after a very promising start, providing insights into how to overcome internal and external problems and obstacles and secure a thriving future. Tailored for researchers aiming to commercialize their technology by setting up a start-up and for technology transfer strategists supporting academic commercialization, the book ensures clarity by avoiding jargon and employing real-life case studies and exercises. Decision-assisting activities such as a "Commercialization Readiness Index (CRI)" and a "Market-prioritization Decision Matrix" offer valuable tools to help a researcher become a successful entrepreneur.Whether you're a seasoned researcher or an aspiring entrepreneur, this book will empower you to harness your potential, turning visionary ideas into flourishing businesses. Embrace the entrepreneurial journey and embark on a transformational ride towards success in the dynamic world of technological entrepreneurship.

This book provides an end-to-end view of revenue management in the hospitality industry.  The book highlights the origins of hotel reservations systems and revenue management, challenges unique to hotels, revenue management models, new generation retailing, and personalization and steps required to remain competitive in the marketplace. This book is intended for practitioners to understand the basics and have a comprehensive view of the impacts of revenue management on product distribution, reservations, inventory control, including the latest advances in the field of attribute-based room pricing and inventory control.There are several aspects of revenue management that are not covered in books and journal articles such as hotel pricing, hotel fully allocated costs, content parity, impact of Online Travel Agencies on hotels, competitive revenue management and attribute-based room pricing and inventory control which represents the last frontier in hotel revenue management with intelligent retailing. Leveraging emerging technologies, such as Artificial Intelligence and Blockchain and the future state of revenue management, are also addressed.

This is the first of its kind book that describes key elements of enterprise data and analytics strategy, and prescribes a pragmatic approach to define the strategy for large enterprises. The book is based on successful digital transformation experience of multiple Fortune 500 and other large enterprises. It is estimated that more than 50% of data and analytics initiatives fail globally because of the inherent complexity of such initiatives. Some of the questions that enterprises struggle with are: How to define enterprise data and analytics strategy? What are the key elements that should be considered while doing so? Why one-size-fits-all approach does not work for all enterprises? How to align data and analytics initiative with the business strategy of the CEO? How to establish a futuristic technology and architecture foundation, given the exponential rate of innovation in data and analytics technologies? How to define the right data and analytics organization model? Why data and analytics organization and processes need to be different from other functions? How to manage organizational change to ensure success of data and analytics initiative? How to define a business value measurement framework and calculate ROI from data and analytics initiative? What are the key skills required in a data and analytics leader to wade through political and other challenges of a large enterprise? This book will help executives, chief digital/analytics officers, data and analytics professionals, and consultants, in answering the above questions. It will help them in addressing various dilemmas that they face every day and making their enterprises data-driven.

This book provides a step-by-step guide to implementing lean at SMEs using an approach that has been tested and fine-tuned at over a hundred organizations across India, South East Asia and the Middle East. The book approaches Lean through an implementation project cycle flow and enables the reader to understand the imperative for Lean, how to diagnose current operations, how to plan and deploy Lean and shows a path for long-term sustenance. Diverse situations such as meeting the demand fluctuations, designing a facility, or improving profit margin etc. are included in the case studies from multiple sectors, to ensure that every reader finds a situation similar to their organizational situation. While the publicly available literature on lean offers a large collection of tools and techniques, given each organization¿s unique context, the choice of the right sequence of tools differ. The book offers guidelines in terms of which solutions work in which context, backed by real-cases, which is a big help to the resource constrained SMEs. This book is an equally good resource for the organizations that have already implemented lean, as it provides realistic pointers about sustaining, tackling supply chain uncertainties and going beyond Lean by integrating emerging technologies and management principles. It is an excellent resource for students and researchers studying this area and also for corporates, professionals and industry watchers.

This book provides retail managers with a practical guide to using data. It covers three topics that are key areas of innovation for retailers: Algorithmic Marketing, Logistics, and Pricing. Use cases from these areas are presented and discussed in a conceptual and comprehensive manner. Retail managers will learn how data analysis can be used to optimize pricing, customer loyalty and logistics without complex algorithms.The goal of the book is to help managers ask the right questions during a project, which will put them on the path to making the right decisions. It is thus aimed at practitioners who want to use advanced techniques to optimize their retail organization.

This book coaches marketing practitioners and students how to best satisfy the needs of the older consumer population. It first highlights the heterogeneity of the older consumer market, then examines the specific needs of the older consumer. Lastly, the book highlights the most effective ways of reaching and serving older consumer segments for different products and services such as financial services, food and beverages, healthcare and pharmaceuticals, and travel among others. It presents segment-to-industry specific strategies that help marketers develop more refined and targeted micro-marketing strategies and customer relationship management (CRM) systems for building and retaining a large base of older customers. These strategies also help demonstrate how companies can make decisions that increase profitability not only by satisfying consumer needs and wants, but also by creating positive change and improvement in consumer well-being. 

The world's population continues to grow year after year, putting pressure on all global resources. This book provides examples of how we can deal with all the challenges associated with aspects of population growth in the quest for sustainable development. It presents case studies on different areas of sustainability in the food industry, which includes food production and consumption. The collection of illustrative examples includes cases from agriculture and fisheries, the food refining sector, the supply chain, wholesale and retail channels, and other relevant aspects that enhance our understanding of how sustainability takes place in this global sector. The book will appeal to a wide readership, from practitioners to researchers, teachers and students worldwide.

This book examines users¿ digital content contribution and consumption behavior from a social perspective. Digital content is everywhere¿from search results on search engines to posts on social media. Incentivizing users to contribute abundant content and motivating users to engage in and pay for digital content are vital for online platforms, especially those relying on digital content generated by users. This book develops a theoretical framework to incorporate social influence, including social presence, social interaction, social comparison, social loafing, and social relationships, in users¿ digital content contribution and consumption decisions. Further, using a large volume of data from online platforms, the author empirically studies the role of social interaction in digital content provision and monetization from the supply side. Also, regarding the digital content demand side, this book explores how to boost content consumption via social motives and social norms. The bookenriches the understanding of social influence in digital content contribution and consumption and provides practical suggestions for digital platforms¿ mechanism design.

The increasing interconnection and the unlimited exchange of data and information has led to a maximized transparency of globally offered and sold products and services. The desires, needs and wants of the consumer are the critical issues today in creating new or offering existing products and services. This book outlines successful marketing and sales strategies with a clear focus on practical relevance. It provides a systematic overview and description of selling, pricing and negotiation concepts which enable the reader to apply the best-case scenario in their company. Tools such as the marketing mix or marketing strategies are well explained for practical application in industry. The book also integrates elements of change, lean and innovation management as drivers for performance excellence. Featuring industry case studies, this book is a practical guide for marketing professionals, academics and policy makers to enable enterprises to achieve long-term competitive advantages through best-in-class marketing, sales and pricing activities.

This book is an exploration of the people analytics possibility, bringing out both theoretical frameworks and detailed practical case studies from the author's experience in industry and business across both sides of the table, with an understanding of data science models and SMAC (Social, Mobile & Cloud) technologies underpinning it. It further explores and lays out a business case for why organizations need to invest behind this space and why HR functions and businesses need to embrace and adopt it. The book examines how people analytics makes a difference to business, describes stages of adoption and maturity models for its effective deployment in organizations and explores the journey from employee master data management and conversion to reporting and visualizations to dash-boarding and descriptive analytics, operational analytics to finally predictive modelling.  The book provides insights on the impact of big data and social networks on HR and talent frameworks and the opportunity for HR to mine these networks with a view to culling out predictive insights for the business. It also describes in great detail the specific applications of people and talent analytics through case examples. The book discusses and makes the case for HR to be metric driven focused on business outcomes. It enumerates upon "e;lead"e; and "e;lag"e; indicators and the need to leverage relevant measurement systems. It provides an understanding of relevant statistical tools that could be deployed to mine key insights from the data to enable robust decision-making, and examines the power of "e;visual intelligence"e; and data representation that goes beyond traditional tools like Excel.This book is for HR practitioners who seek to challenge the status quo. It does so by helping them leverage a data and evidence based approach; asking the right questions and building new capabilities with a view towards leading change and driving transformation both in their domain, the wider business and the larger organization. The book is also useful for HRM students to gain a deep understanding of "e;people analytics"e; as a critical sub-domain within HR. "e;HR is not just about people but now also about Tech, Data and Analytics. Upgrading numerical/analytics skills in order to have greater impact on the business, is the new wave of HR, which Rahul helps address via his own rich experience."e;-       Gurprriet Siingh, Managing Director, Russell Reynolds Associates, Mumbai, India. "e;This book would help HR & Leadership Teams find a way of discarding perceptions and uncovering truth by embracing data patterns as opposed to just continuing with incremental changes to how it has always been. This is particularly so of successful organizations."e;-       Vikas Gupta, Divisional Chief Executive Officer, Education and Stationery Products Business, ITC Limited, Gurugram, India.

This book provides a holistic and practical approach to Japanese concepts of lean management throughout the business value chain. It explains principles like Kaizen, Kata or Keiretsu in a pragmatic and logical way with many industry examples and case studies. The authors describe comprehensively how lean management enables companies to concentrate on value-adding activities and processes to achieve a long-term, sustainable competitive advantage. Moreover, the book shows how lean management principles are ultimately applied in industries like aviation, civil engineering, automotive, healthcare, education and other industries.

This book explores how cultural and social influences affect consumer decision making with a focus on uncertainty avoidance, rituals, and external threats. Indeed, uncertainty avoidance can exert significant influence on consumer behavior. For example, consumers in a culture with high uncertainty avoidance may show less positive attitudes towards new products than those in a culture with low uncertainty avoidance. Prior cultural research has mainly focused on how individualism/collectivism or power distance belief influences consumer attitudes and behaviors at an individual level, while seldom does research investigate the effect of uncertainty avoidance on consumption. This book examines how uncertainty avoidance affects superstitious consumption as well as its underlying mechanism and boundary condition. Rituals, as a component of culture, can affect consumer behaviors. However, few studies have shedded light on how repeating rituals can affect consumers¿ willingness to use the products involved in the ritual. Consumer behavior is complex. Consumers are surrounded with various external threats such as health, economic, and informational threats, while prior research has primarily focused on health threats. Beyond this, inter-client conflicts, as a special type of social threat, can also affect consumption experience. In all, this book aims to examine how uncertainty avoidance, rituals and external threats influence consumer attitudes and behaviors. In this book, new research models would be developed. This book enriches our understanding on how cultural and social influences affect consumer decision making and provides insights for both researchers and practitioners in marketing.

This textbook introduces systems science as an entry point to present a basic introduction to research models and methods in management science (operation research). This textbook selects the classic quantitative models and methods as well as rich cases and detailed examples, which are suitable for students with a certain management and economics knowledge for further study, and helps to develop the abilities of using the basic models in real life.

This book continues from author¿s first SMA publication in 2018 (also by Springer) and discusses the new roles of SMA in the new network economy. Emerging digital technologies have revolutionized the business world with groundbreaking rules and innovative business models. New knowledge and information technologies have inspired new business ideas and created more information platforms at a lower cost, yet highly efficient in the market. The new business transformation also encourages more inter-organizational cooperation to cope with rapid changes. All these novelties add challenges to corporate individuals in managing businesses beyond their organizations, in particular financial professionals (e.g., CFO) who are experts in the team. Therefore, SMA is assigned a new role in the new network economy. Similarly, SMA calls for major updates and revisions. This urges author to write this book to meet the new demand. The author has selected important topics that are particularly pertinent to the new Internet economy. These topics include how to make decisions under business uncertainty, how to value businesses in general, Internet stocks and intangible assets in particular. Business collaboration and integration are usual means to acquire synergy value. How does SMA help deliver the best results? How are business models and information platforms built as sense-making revenue models, even though these platforms never charge for services? How is market power and brand value measured? How does trust supplement control in new network organizations? Finally, how is value created, captured, and allocated in a fair manner? The book goes through detailed examinations of each topic with cases, examples, and illustrations as required.

This book takes a practice approach to studying platform business models. Drawing from the growing academic literature as well as the practice world, this book intends to provide a framework for analysing platform business firms. Leveraging on the early literature on network economics (that was largely analytical) and the popular writing about new organizations, this book takes a strategic perspective. It answers the five big strategy questions about platform business firms: a. What are platform business models, and how are they different from others; b. How do platform business firms operate, and what value do they create? To whom and how; c. What are those resources that platforms possess and leverage to create and sustain their competitive advantage over others; d. Why and how are they successful? Why do they perform differently from others? What metrics of performance should we use to study and analyse their performance; e. Is this business model sustainable? What determines the longevity of such firms? What are the regulatory and social challenges that these platform business firms face? How do regulators and the larger society manage the disproportionate power distribution among such firms?The book is strategic in nature and highlights the resources defining the strategies of successful platform business firms. In doing so, it provides a field guide for entrepreneurs and managers embarking on building a platform, by providing a portfolio of decisions to make. Though the frameworks could be generalized, the book focuses on platform businesses, rather than societal platforms. With a few extensions, it is possible that these frameworks could be easily applied to non-profit and or social enterprises as well.

This book aims to build a framework for understanding how to achieve new business growth through digital intelligence. It reveals the driving force and commercial logic behind the technology upgrade and transformation for enterprises, analyzes how to improve enterprises' branding, product, distribution channel, marketing, logistics, and organization under the new context, and studies the successful cases in digital intelligence of 6 Chinese enterprises. For business school students, researchers, managers, and practitioners, it is helpful to build an overview and understanding on strategy level as well as practice level.

This book describes the development of quality over various stages, from product inspection, through quality control to the present ISO 9000 systems. It also highlights the advantages of the quality management system (QMS) standards and the need for certification by organizations and enterprises/firms interested in taking advantage of the various benefits of these standards to improve their systems and aid their survival in a globally competitive market. The author provides simplified information to enable even those hearing the word ''quality'' for the first time to be able to appreciate and understand the various quality management philosophies irrespective of their background and position.

This book comprehensively assesses the growing importance of project data for project scheduling, risk analysis and control. It discusses the relevance of project data for both researchers and professionals, and illustrates why the collection, processing and use of such data is not as straightforward as most people think. The theme of this book is known in the literature as data-driven project management and includes the discussion of using computer algorithms, human intuition, and project data for managing projects under risk.The book reviews the basic components of data-driven project management by summarizing the current state-of-the-art methodologies, including the latest computer and machine learning algorithms and statistical methodologies, for project risk and control. It highlights the importance of artificial project data for academics, and describes the specific requirements such data must meet. In turn, the book discusses a wide variety of statistical methods available to generate these artificial data and shows how they have helped researchers to develop algorithms and tools to improve decision-making in project management. Moreover, it examines the relevance of project data from a professional standpoint and describes how professionals should collect empirical project data for better decision-making. Finally, the book introduces a new approach to data collection, generation, and analysis for creating project databases, making it relevant for academic researchers and professional project managers alike.