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Books > Business & Economics > Business & management > Management of specific areas > Research & development management
This book analyzes future directions in the study of expertise and experience with the aim of engendering more critical discourse on the general discipline of science and technology studies. In 2002, Collins and Evans published an article entitled "The Third Wave of Science Studies," suggesting that the future of science and technology studies would be to engage in "Studies in Expertise and Experience." In their view, scientific expertise in legal and policy settings should reflect a consensus of formally-trained scientists and citizens with experience in the relevant field (but not "ordinary" citizens). The Third Wave has garnered attention in journals and in international workshops, where scholars delivered papers explicating the theoretical foundations and practical applications of the Third Wave. This book arose out of those workshops, and is the next step in the popularization of the Third Wave. The chapters address the novel concept of interactional experts, the use of imitation games, appropriating scientific expertise in law and policy settings, and recent theoretical developments in the Third Wave.
Artificial intelligence and the autonomous robots of the Fourth Industrial Revolution will render certain jobs and competences obsolete but will also create new roles, which in turn require new sets of skills. They will also transform how we produce, distribute and consume, as well as how we think. Rather than a linear understanding of evolutionary processes, we will develop a more interactive and circular interpretation. This book offers a unique and holistic perspective on the future of work in the context of industry 4.0. It discusses the globalization of capital markets, how artificial intelligence can help organizations to be more competitive and the new role of leadership in this technological landscape. The author argues that there are four categories of competences, which will be required in order to maintain the relevance of human skills and expertise in the innovation economy. The new jobs that come into being will lend themselves to a particular set of skills. General competences will be necessary for roles involving the 4Cs of communication, creativity, collaboration and change. Specific or STEM competences will be called for across the science, technology, engineering and mathematics sectors. Human competences will lend themselves to positions comprising the SELC framework of social, emotional, leadership and cultural skills. Critical or REVE competences will be in demand for roles embracing reflection, ethics, values and the environment. The book provides a human-centric view of the current technological advancements of artificial intelligence and robotics and offers a positive outlook for human actors seeking continued relevance. It will appeal to scholars and students of the innovation economy, the knowledge society and the coming Fourth Industrial Revolution.
Today, it is not uncommon for practices and hospitals to be on their second or third EHR and/or contemplating a transition from the traditional on-premise model to a cloud-based system. As a follow-up to Complete Guide and Toolkit to Successful EHR Adoption ( (c)2011 HIMSS), this book builds on the best practices of the first edition, fast-forwarding to the latest innovations that are currently leveraged and adopted by providers and hospitals. We examine the role that artificial intelligence (AI) is now playing in and around EHR technology. We also address the advances in analytics and deep learning (also known as deep structured or hierarchical learning) and explain this topic in practical ways for even the most novice reader to comprehend and apply. The challenges of EHR to EHR migrations and data conversions will also be covered, including the use of the unethical practice of data blocking used as a tactic by some vendors to hold data hostage. Further, we explore innovations related to interoperability, cloud computing, cyber security, and electronic patient/consumer engagement. Finally, this book will deal with what to do with aging technology and databases, which is an issue rarely considered in any of the early publications on healthcare technology. What is the proper way to retire a legacy system, and what are the legal obligations of data archiving? Though a lot has changed since the 2011 edition, many of the fundamentals remain the same and will serve as a foundation for the next generation of EHR adopters and/or those moving on to their second, third, fourth, and beyond EHRs.
Cryptocurrencies have had a profound effect on financial markets worldwide. This edited book aims to explore the economic implications of the use of cryptocurrencies. Drawing from chapter contributors from around the world, the book will be a valuable resource on the economics of cryptocurrencies. The intended audience is composed of academics, corporate leaders, entrepreneurs, government leaders, consultants and policy makers worldwide. Over the past few years, the topic of cryptocurrencies has gained global attention and has been the subject of discussion in various news media, in policy-making bodies and government entities, and in financial institutions, classrooms and boardrooms. Despite widespread interest, much remains unknown on what the economic implications of cryptocurrencies are. This book enhances the reader's understanding of cryptocurrencies, its impact on industry and its implications on the political and economic environment. Drawing from chapter contributions from leading academics and thought leaders from around the world, this book is the definitive guide on the economics of cryptocurrencies. There is scarcity of well conceived, academically grounded literature on the impact of cryptocurrencies on industry, politics and economics. This pioneering book provides up-to-date and in-depth analysis on the subject. The book will be appealing to academic communities, business professionals and entrepreneurs in their quest for better understanding the challenges and opportunities brought about by cryptocurrencies. Consultants, government officials and policy makers will find the information helpful in defining strategic pathways into the future.
This volume is a step-by-step guide to implementing predictive data analytics in human resource management (HRM). It demonstrates how to apply and predict various HR outcomes which have an organisational impact, to aid in strategising and better decision-making. The book: Presents key concepts and expands on the need and role of HR analytics in business management. Utilises popular analytical tools like artificial neural networks (ANNs) and K-nearest neighbour (KNN) to provide practical demonstrations through R scripts for predicting turnover and applicant screening. Discusses real-world corporate examples and employee data collected first-hand by the authors. Includes individual chapter exercises and case studies for students and teachers. Comprehensive and accessible, this guide will be useful for students, teachers, and researchers of data analytics, Big Data, human resource management, statistics, and economics. It will also be of interest to readers interested in learning more about statistics or programming.
2017 marked the seventy-fifth anniversary of Schumpeter's Capitalism, Socialism and Democracy, a work acknowledged as one of the most insightful books written in the twentieth century. It retains a contemporary quality, and still invites criticisms, new interpretations, and extensions and across disciplines. This book, in addition to re-examining Schumpeter's seminal work and undertaking a twenty-first-century update of its main themes, brings together leading social scientists to provide contemporary amendments, extensions - or eventually refutations - of key elements of Schumpeter's vision and thesis. Issues covered include a new take on creative destruction, the contours of a theory of innovative enterprise, finance and financialisation, a critique of the secular stagnation thesis, Schumpeter's contributions to a theory of the entrepreneurial state, his conception of socialism and its current relevance for understanding the 'China model' as well as a rekindling of his democracy thesis for our times. Bringing together leading international contributors, this book provides fresh perspectives on ideas that continue to be hugely relevant to contemporary social sciences and a guide for understanding the current tensions among capitalism, the state and democracy. These chapters will be of interest to economists, social scientists and anyone with an interest in modern capitalism.
Drawing on a range of European cases, this edited volume analyses the offshoring and outsourcing of foreign companies, with a focus on territorial embeddedness. The book opens by developing a theoretical framework and then presents a range of international case studies exploring the experiences of the service hub cities of Brno, Bratislava, Budapest, Krakow, and Prague. Attention is also given to internal and external determinants of embeddedness, with chapters on the employee perspective, the Fintech industry, corporate social responsibility, and the role of universities. This volume will be of interest to advanced students and researchers in regional economics, economic geography, innovation studies, industrial economics, European economics, and international business.
Robust university-industry partnerships are vital to achieve the 17 UN Sustainable Development Goals (SDGs) and create a better world for everyone. Developing the theory and practice of the '5th Generation University', this book shows how cross-sector collaboration and innovation are crucial to maximising the societal benefits of research, education and knowledge exchange, while also driving economic growth and productivity. The authors bring extensive experience in working at the interface between academia, industry and government to demonstrate how universities can effectively combine transdisciplinary programmatic activities and strategic corporate philanthropy. They explain how long-term alliances can be forged to have a transformational impact on the greatest challenges facing our world such as climate change.
Technology-based firms continue to compete primarily on innovation,
and are continuously required to present new solutions to an
exacting market. As technological complexity and specialization
intensifies, firms increasingly need to integrate and co-ordinate
knowledge by means of project groups, diversified organizations,
inter-organizational partnerships, and strategic alliances.
Innovation processes have progressively become interdisciplinary,
collaborative, inter-organizational, and international, and a
firm's ability to synthesize knowledge across disciplines,
organizations, and geographical locations has a major influence on
its viability and success.
For more than a decade, the focus of information technology has been on capturing and sharing data from a patient within an all-encompassing record (a.k.a. the electronic health record, EHR), to promote improved longitudinal oversight in the care of the patient. There are both those who agree and those who disagree as to whether this goal has been met, but it is certainly evolving. A key element to improved patient care has been the automated capture of data from durable medical devices that are the source of (mostly) objective data, from imagery to time-series histories of vital signs and spot-assessments of patients. The capture and use of these data to support clinical workflows have been written about and thoroughly debated. Yet, the use of these data for clinical guidance has been the subject of various papers published in respected medical journals, but without a coherent focus on the general subject of the clinically actionable benefits of objective medical device data for clinical decision-making purposes. Hence, the uniqueness of this book is in providing a single point-of-capture for the targeted clinical benefits of medical device data--both electronic- health-record-based and real-time--for improved clinical decision-making at the point of care, and for the use of these data to address and assess specific types of clinical surveillance. Clinical Surveillance: The Actionable Benefits of Objective Medical Device Data for Crucial Decision-Making focuses on the use of objective, continuously collected medical device data for the purpose of identifying patient deterioration, with a primary focus on those data normally obtained from both the higher-acuity care settings in intensive care units and the lower-acuity settings of general care wards. It includes examples of conditions that demonstrate earlier signs of deterioration including systemic inflammatory response syndrome, opioid-induced respiratory depression, shock induced by systemic failure, and more. The book provides education on how to use these data, such as for clinical interventions, in order to identify examples of how to guide care using automated durable medical device data from higher- and lower-acuity care settings. The book also includes real-world examples of applications that are of high value to clinical end-users and health systems.
For more than a decade, the focus of information technology has been on capturing and sharing data from a patient within an all-encompassing record (a.k.a. the electronic health record, EHR), to promote improved longitudinal oversight in the care of the patient. There are both those who agree and those who disagree as to whether this goal has been met, but it is certainly evolving. A key element to improved patient care has been the automated capture of data from durable medical devices that are the source of (mostly) objective data, from imagery to time-series histories of vital signs and spot-assessments of patients. The capture and use of these data to support clinical workflows have been written about and thoroughly debated. Yet, the use of these data for clinical guidance has been the subject of various papers published in respected medical journals, but without a coherent focus on the general subject of the clinically actionable benefits of objective medical device data for clinical decision-making purposes. Hence, the uniqueness of this book is in providing a single point-of-capture for the targeted clinical benefits of medical device data--both electronic- health-record-based and real-time--for improved clinical decision-making at the point of care, and for the use of these data to address and assess specific types of clinical surveillance. Clinical Surveillance: The Actionable Benefits of Objective Medical Device Data for Crucial Decision-Making focuses on the use of objective, continuously collected medical device data for the purpose of identifying patient deterioration, with a primary focus on those data normally obtained from both the higher-acuity care settings in intensive care units and the lower-acuity settings of general care wards. It includes examples of conditions that demonstrate earlier signs of deterioration including systemic inflammatory response syndrome, opioid-induced respiratory depression, shock induced by systemic failure, and more. The book provides education on how to use these data, such as for clinical interventions, in order to identify examples of how to guide care using automated durable medical device data from higher- and lower-acuity care settings. The book also includes real-world examples of applications that are of high value to clinical end-users and health systems.
Contemporary businesses are exposed to global competition enhanced by new information technology and liberalized cross-border transactions in many industries. This introduces a new competitive dynamic, influenced by actors in developed and emerging markets. The dynamic puts major demands on executives as they consider future moves that support strategic initiatives. The context of intensified global competition requires attention from practicing (and aspiring) leaders in international business organizations. Drawing on contemporary research, Competitive International Strategy: Key Implementation Issues addresses international business strategy formulation and implementation in the global competitive market. It captures the essential strategy components by elaborating on the implementation of corporate integration and local responsiveness. This is considered a vital dichotomy in the development of international business strategies. Essential components include competition context, firm's resources, strategy directions and competence, implementation issues, and competitiveness. The book includes several detailed company cases. Bridging the strategy formulation and implementation is crucial for the ultimate success of international business firms. This book will be of great value to students at an advanced level, academics, and reflective practitioners in the fields of strategic management, leadership, and international business.
Avoiding prejudice will be critical to economic success in the fourth industrial revolution. It is not the new and innovative technology that will matter in the next decade, but what we do with it. Using technology properly, with diverse decision making, is the difference between success and failure in a changing world. This will require putting the right person in the right job at the right time. Prejudice stops that happening. Profit and Prejudice takes us through the relationship between economic success and prejudice in labour markets. It starts with the major changes that occur in periods of economic upheaval. These changes tend to be unpopular and complex - and complexity encourages people to turn to the simplistic arguments of 'scapegoat economics' and prejudice. Some of the changes of the fourth industrial revolution will help fight prejudice, but some will make it far worse. The more prejudice there is, the harder it will be for companies and countries to profit from the changes ahead. Profit is not the main argument against prejudice, but can certainly help fight it. This book tells a story of the damage that prejudice can do. Using economics without jargon, students, investors and the public will be able to follow the narrative and see how prejudice can be opposed. Prejudice is bad for business and the economy. Profit and Prejudice explains why.
Using real cases of food fi rms and agriculture supply chains as a context, How is Digitalization Affecting Agri-food? New Business Models, Strategies and Organizational Forms aims to understand the key themes in strategic and organizational research in this area. Despite the importance of food and agriculture in the current political and societal context, analysis of the impact of digitalization and information technologies on the industry is still limited. The objective of this monograph is to understand the direction of this change. With case studies of food firms and agriculture supply chains it sets out to conceptualize food organizing and organizations as a fruitful object of inquiry, both at the intra and interorganizational levels. It aims to understand new business models, strategies, and organizational forms. Contributions in this stream of research have the potential to yield important and relevant insights for both scholars and societies. This book is written primarily for academics engaged in innovation management or strategy, or conducting organizational behavior research. It will also be of relevance to practitioners and managers in the agri-food industry.
This book applies cutting-edge economic analysis and social science to unpack the rich complexities and paradoxes of the Fourth Industrial Revolution. The book takes the reader on a bold, refreshing, and informative tour through its technological drivers, its profound impact on human ecosystems, and its potential for sustainable human development. The overarching message to the reader is that the Fourth Industrial Revolution is not merely something to be feared or survived; rather, this dramatic collision of technologies, disciplines, and ideas presents a magnificent opportunity for a generation of new pioneers to rewrite "accepted rules" and find new avenues to empower billions of people to thrive. This book will help readers to discern the difference between disruption and transformation. The reader will come away from this book with a deeply intuitive and highly contextual understanding of the core technological advances transforming the world as we know it. Beyond this, the reader will clearly appreciate the future impacts on our economies and social structures. Most importantly, the reader will receive an insightful and actionable set of guidelines to assist them in harnessing the Fourth Industrial Revolution so that both they and their communities may flourish. The authors do not primarily seek to make prescriptions for government policy, but rather to speak directly to people about what they can do for themselves, their families, and their communities to be future-proofed and ready to adapt to life in a rapidly evolving world ecosystem.
This book presents some twenty case studies, showing how companies in different industry sectors and of different sizes make advances in Product Lifecycle Management (PLM). Like the author's previous volumes, this book provides a valuable resource for those wishing to learn about PLM and how to implement and apply it in their companies. Helping readers to * learn about implementing and benefiting from PLM; * learn about good PLM solutions and best practice; * improve their planning and decision-making abilities; * benefit from the lessons learned by the companies featured in the case studies; * proceed faster and further with PLM the book presents effective PLM solutions and best practices. At the same time, the case studies included demonstrate how different companies implement and benefit from PLM. Each case study is addressed in a separate chapter and details a different situation, enabling readers to put themselves in the situation and think through different actions and decisions. A valuable resource for PLM team managers and employees in engineering and manufacturing companies, the book is also of interest to researchers and students in industrial engineering fields.
Hospitality managers are at a critical inflection point. Digital technology advancements are ramping up guest expectations and introducing nontraditional competitors that are beginning to disrupt the whole industry. The hospitality managers whose organizations are to thrive need to get their organizations into a position where they can effectively leverage digital technologies to simultaneously deliver breakthroughs in efficiency, agility, and guest experience. Hospitality Management and Digital Transformation is a much-needed guidebook to digital disruption and transformation for current and prospective hospitality and leisure managers. The book: * Explains digital technology advancements, how they cause disruption, and the implications of this disruption for hospitality and leisure organizations. * Explains the digital business and digital transformation imperative for hospitality and leisure organizations. * Discusses the different digital capabilities required to effectively compete as a digital business. * Discusses the new and/or enhanced roles hospitality and leisure managers need to play in effecting the different digital capabilities, as well as the competencies required to play these roles. * Discusses how hospitality and leisure managers can keep up with digital technology advancements. * Unpacks more than 36 key digital technology advancements, discussing what they are, how they work, and how they can be implemented across the hospitality and leisure industry. This book will be useful for advanced undergraduate and postgraduate students studying strategic management, IT, information systems, or digital business-related courses as part of degrees in hospitality and leisure management; as well as practitioners studying for professional qualifications.
Digitalization is on everyone's lips as new technology changes business landscapes and conventional companies are outperformed by younger digital and agile contestants. In this volatile environment it seems more relevant than ever before to understand the aspects and business logic behind the elusive phenomenon called "digitalization". Never before have there been such great opportunities to unleash the full potential of technology within organizations to create long-standing competitive advantage. This book explains the strategy and practice of how to lead and control the people side of digital change in a dynamic world of uncertainty and social complexity, and as such the book snares the elusive phenomena of digitalization Digitalization drives behavioral change and calls for a new way of thinking among senior executives. In practice, reaping the benefits of digital technology is not as easy as it first appears to be. This book provides a map to navigate in the volatile business landscape where change occurs continuously because of digital technology. It provides an historical frame of the evolution of digital technology, decodes digitalization's negative influence on the external aspects of customer satisfaction, discusses and explains the strategic and leadership consequences of different forms of digital change, and finally demonstrates how leading digital change can be put into practice. Illustrative case studies and examples are provided throughout as well as models and frameworks. This is a valuable resource for researchers, academics, and students in the fields of organizational studies, organizational change, technology and innovation management, and digitalization.
This book offers a fresh method of assessing and managing risks in SMEs, by adopting a multidisciplinary approach. In small and medium companies, the risk management process cannot be often formalised and procedures are usually integrated unconsciously into the decision-making process. Therefore, to enhance the flexibility of these companies, increase their market share and allow them to grow and manage risks more effectively, the first step is to improve the way decisions are made. Consequently, it is fundamental for those companies to improve the awareness about the way reasonable decisions are made, which can be achieved only through a proper knowledge and the definition of the Risk Appetite Framework. Therefore, by improving knowledge, the risk appetite and awareness in the decision making, companies will implicitly start developing a risk consciousness, which can be translated into a sound risk approach. SMEs need to understand the importance of an effective internal control system. Hence, the central point is the necessity to start reconsidering the company as a unique entity, by adopting a holistic approach. The book explores whether small and medium companies should adopt a formalised risk management process and, more importantly, the role that the development of an appropriate risk mindfulness and approach to expand existing functions plays in these entities. It suggests an appropriate way of thinking about risk, starting with the amalgamation of both past and present theories, and enabling SMEs to find a solution to improve the effectiveness of their risk management strategies.
There is wide consensus on the importance of knowledge for economic growth and local development patterns. This book proposes a view of knowledge as a collective, systemic and evolutionary process that enables agents and social systems to overcome the challenges of the limits to growth. It brings together new conceptual and empirical contributions, analysing the relationship between demand and supply factors and the rate and direction of technological change. It also examines the different elements that compose innovation systems. The Economics of Knowledge, Innovation and Systemic Technology Policy provides the background for the development of an integrated framework for the analysis of systemic policy instruments and their mutual interaction the socio-political and economic conditions of the surrounding environment. These aspects have long been neglected in innovation policy, as policymakers, academics and the business community, have mostly emphasized the benefits of supply side strategies. However, a better understanding of innovation policies grafted on a complexity-based approach calls for the appreciation of the mutual interactions between both supply and demand aspects, and it is likely to improve the actual design of policy measures. This book will help readers to understand the foundations and working of demand-driven innovation policies by stressing the importance of compent and smart demand.
Based on a theoretical analysis and supported by both explorative qualitative and quantitative research, this book examines the many reasons why an initiative becomes an innovation and why some organizations are better at innovation than others. Developing Capacity for Innovation in Complex Systems offers insights into the history of the idea of innovation, as well as knowledge around different discourses on innovation. The purpose of this book is to help organisations further their aspirations and work with innovation. It is based on three premises: (1) that capacity can be developed, (2) that it is worthwhile trying to do so, and (3) there are however no guarantees for success. Providing a comprehensive view of innovation and discussing the theoretical challenges, the book contributes towards a holistic theory for capacity building for innovation. The book conveys frameworks, methodologies, and tools that are used in terms of innovation, and it explains positive strategies for innovation that are being developed. Complexity theory is presented and attributed to the construct of innovation to further the understanding of the intricacies and fallacies of innovation work. This book will be of direct interest to scholars and subject matter experts in the field of innovation management. Business leaders and reflective practitioners will find the content relevant and accessible.
In a world where entrepreneurial success often seems deceptively accessible, it is not always clear what makes a person entrepreneurial. In this book, Dimo Dimov offers a reflective insight into the entrepreneurial journey, striking up a conversation about entrepreneurship in order to challenge and untangle existing preconceptions. A discussion of challenges and tensions such as idea versus opportunity, genius versus lunatic, and skill versus luck forms the foundation of the book, while the second part offers actions and considerations which can help the reader to seek opportunities in a fractious environment. The final part of the text focuses on the collective spirit in entrepreneurship, arising from the interplay between participation and outcomes. The author brings a succinct diversity to the field, making this book essential reading for undergraduate and postgraduate students on entrepreneurship courses, as well as scholars, researchers, and practitioners looking for a new perspective on entrepreneurship.
Published in 1993. Software reuse has been shown to achieve improvements in productivity, quality and timeliness of software. The collection of papers in this book were given at a seminar organized by UNICOM and the British Computer Society Software Reuse Specialist Group. They address the reasons why software reuse can maximize an organization's return from past expenditure and ensure a good future expenditure. Increasing the automation of software development requires access to explicit knowledge about processes and products involved. The chapters examine the relationship between reuse and other aspects of software engineering, including management techniques and structures, CASE, methodologies and object orientation. In addition, the papers aim to provide a structures insight into new techniques which will become available through the 1990s. This text is suitable for software managers and directors, software engineers, software professionals, academics, and other involved in software engineering research.
This volume is a step-by-step guide to implementing predictive data analytics in human resource management (HRM). It demonstrates how to apply and predict various HR outcomes which have an organisational impact, to aid in strategising and better decision-making. The book: Presents key concepts and expands on the need and role of HR analytics in business management. Utilises popular analytical tools like artificial neural networks (ANNs) and K-nearest neighbour (KNN) to provide practical demonstrations through R scripts for predicting turnover and applicant screening. Discusses real-world corporate examples and employee data collected first-hand by the authors. Includes individual chapter exercises and case studies for students and teachers. Comprehensive and accessible, this guide will be useful for students, teachers, and researchers of data analytics, Big Data, human resource management, statistics, and economics. It will also be of interest to readers interested in learning more about statistics or programming. |
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