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.

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.

The food and drink sector represents Europe's largest manufacturing industry, its largest employer and is a major player in the global economy. It also has one of the greatest environmental impacts. In order to maintain competitive advantage, SMEs need to address their environmental impact and integrate sustainability into their marketing strategies and operations. The Sustainable Marketing Concept in European SMEs: Insights from the Food & Drink Industry brings together contributions from leading scholars to provide new knowledge and applications for the implementation of sustainable marketing orientation and sustainable marketing mix tools in SMEs operating in the industry. It will be the first publication focussing on the scope of sustainable marketing applications by SMEs providing comparison, data analysis and insights from Western Europe and Central - Eastern Europe. The book is a result of an international cooperation undertaken by leading researchers from Poland, Croatia, the UK, Russia, Germany and Spain, all with many years of experience in issues related to marketing and sustainability.

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.

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.

The use of new information and communication technologies both inside the courts and in private online dispute resolution services is quickly changing everyday conflict management. However, the implications of the increasingly disruptive role of technology in dispute resolution remain largely undiscussed. In this book, assistant professor of law and digitalisation Riikka Koulu examines the multifaceted phenomenon of dispute resolution technology, focusing specifically on private enforcement, which modern technology enables on an unforeseen scale. The increase in private enforcement confounds legal structures and challenges the nation-state's monopoly on violence. And, in this respect, the author argues that the technology-driven privatisation of enforcement - from direct enforcement of e-commerce platforms to self-executing smart contracts in the blockchain - brings the ethics of law's coercive nature out into the open. This development constitutes a new, and dangerous, grey area of conflict management, which calls for transparency and public debate on the ethical implications of dispute resolution technology.

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.

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 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.

In Multipreneurship: Diversification in Times of Crisis, Nick Harkiolakis argues against the more commonly held view that diversification at the level of the individual entrepreneur, rather than that of the established corporation, is the wrong business strategy to pursue in times of economic crisis. He contends that entrepreneurship always proves, in almost every circumstance and every part of the world, to be a way out of economic straits and it is widely accepted as the primary force that helps produce self-sufficiency, social inclusion, job creation, capital formation, and skills acquisition. Threats to job stability in today's economic climate are expected to trigger latent entrepreneurship that could lead to re-investment of social capital to generate financial capital. Cash nowadays might not be the main value-added commodity. In an information society some of the basic ingredients of successful entrepreneurship, such as confidence and social capital might be equally important. Contrary to received wisdom in relation to SME diversification, the ability to run a group of businesses as a profit ecosystem rather than business units might prove to be beneficial in volatile economic times. If conditions improve one can always focus on growth of the most profitable and promising units. Yet in unstable economic times, resorting to back-up alternatives away from the mainstream business of organizations might be a solution to sustainable development.

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.

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.

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.

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.

Innovation contributes to corporate competitiveness, economic performance and environmental sustainability. In the Internet era, innovation intelligence is transferred across borders and languages at an unprecedented rate, yet the ability to benefit from it seems to become more divergent among different corporations and countries. How much an organization can benefit from innovation largely depends on how well innovation is managed in it. Thus, there is a discernible increase in interest in the study of innovation management. This handbook provides a comprehensive guide to this subject. The handbook introduces the basic framework of innovation and innovation management. It also presents innovation management from the perspectives of strategy, organization and resource, as well as institution and culture. The book's comprehensive coverage on all areas of innovation management makes this a very useful reference for anyone interested in the subject.

The field of Information Systems has been evolving since the first application of computers in organizations in the early 1950s. Focusing on information systems analysis and design up to and including the 1980s, the field has expanded enormously, with our assumptions about information and knowledge being challenged, along with both intended and unintended consequences of information technology. This prestige reference work offers students and researchers a critical reflection on major topics and current scholarship in the evolving field of Information Systems. This single-volume survey of the field is organized into four parts. The first section deals with Disciplinary and Methodological Foundations. The second section deals with Development, Adoption and Use of MIS - topics that formed the centrepiece of the field of IS in the last century. The third section deals with Managing Organizational IS, Knowledge and Innovation, while the final section considers emerging and continuing issues and controversies in the field - IS in Society and a Global Context. Each chapter provides a balanced overview of current knowledge, identifying issues and discussing relevant debates. This prestigious book is required reading for any student or researcher in Management Information Systems, academics and students covering the breadth of the field, and established researchers seeking a single-volume repository on the current state of knowledge, current debates and relevant literature.

The concept of open innovation has become increasingly popular in the management and policy literature on technology and innovation. However, despite the large volume of empirical work, many of the prescriptions being proposed are fairly general and not specific to particular contexts and contingencies. The proponents of open innovation are universally positive but research suggests that the specific mechanisms and outcomes of open innovation models are very sensitive to context and contingency. This is not surprising because the open or closed nature of innovation is historically contingent and does not entail a simple shift from closed to open as often suggested in the literature. Research has shown that patterns of innovation differ fundamentally by sector, firm and strategy. Therefore, there is a need to examine the mechanisms that help to generate successful open innovation. In this book, the authors contribute to a shift in the debate from potentially misleading general prescriptions, and provide conceptual and empirical insights into the precise mechanisms and potential limitations of open innovation research and management practice.

This book is about the rise of data as a driver of innovation and economic growth. It charts the evolution of business data as a valuable resource and explores some of the key business, economic and social issues surrounding the data-driven revolution we are currently going through. Readers will gain an understanding of the historical underpinnings of the data business and why the collection and use of data has been driven by commercial needs. Readers will also gain insights into the rise of the modern data-driven technology giants, their business models and the reasons for their success. Alongside this, some of the key social issues including privacy are considered and the challenges these pose to policymakers and regulators. Finally, the impact of pervasive computing and the Internet of Things (IoT) is explored in the context of the new sources of data that are being generated. This book is useful for students and practitioners wanting to better understand the origins and drivers of the current technological revolution and the key role that data plays in innovation and business success.

With digital automation becoming ubiquitous, the relationship between man and machine is being redefined. This book, through a focus on America, identifies the tension this relationship has produced, and how it has divided America socially, politically, and economically, ultimately breeding two fundamentally incompatible nations within one: the "forgotten America" and "elite America." This book enables the reader to visualize the changes brought by automation on our producer and buyer identities, and suggests policy changes that global leaders could adopt to deal with the increasing discord. The book is heavily dependent on a few fundamental concepts of both economics and sociology, such as globalization, labor economics, and cultural homogenization. The book is ideally suited to students and academics researching political economics and sociology, with focuses on globalization, unemployment, and the social impacts of technological advances.

This book provides comprehensive and advanced analysis of the characteristics of social entrepreneurship in Europe. It offers innovative, up-todate research on the ecosystems of social entrepreneurship, the behavior of social entrepreneurs, their ability to produce social innovation, social capital and social inclusion, and the role of stakeholders in fostering socially oriented businesses. Moreover, it addresses the diversity of the European social enterprise sector from an evolutionary perspective, with particular reference to the rise of social entrepreneurship and the role of new-generation social entrepreneurs throughout Europe. Multidisciplinary contributions authored by experts from business and accounting, economics, and sociology serve the purpose of delivering a holistic study of social entrepreneurship, also providing the necessary data for delivering policy implications on the features of the most effective enabling social and institutional ecosystems. The broad approach, based on different theoretical frameworks and methodologies across numerous disciplines, enables the authors to tackle all of the complex research issues connected to social entrepreneurship in the region. The book builds on the results of the European Union 7FP (European Union's Research and Innovation funding program for 2007-013)-funded "EFESEIIS - Enabling the flourishing and evolution of social entrepreneurship for innovative and inclusive societies" research project. The central theme of the book is an evolutionary perspective on the dynamics and the rise of the social enterprise in Europe. This evolutionary perspective can be used in an economic as well as a social longitudinal analysis of changing contexts and entrepreneurial practices. The evolutionary perspective will be used as a tool to account for the specificity of developmental pathways in different contexts and countries.

The political economy of research and innovation (R&I) is one of the central issues of the early twenty-first century. 'Science' and 'innovation' are increasingly tasked with driving and reshaping a troubled global economy while also tackling multiple, overlapping global challenges, such as climate change or food security, global pandemics or energy security. But responding to these demands is made more complicated because R&I themselves are changing. Today, new global patterns of R&I are transforming the very structures, institutions and processes of science and innovation, and with it their claims about desirable futures. Our understanding of R&I needs to change accordingly. Responding to this new urgency and uncertainty, this handbook presents a pioneering selection of the growing body of literature that has emerged in recent years at the intersection of science and technology studies and political economy. The central task for this research has been to expose important but consequential misconceptions about the political economy of R&I and to build more insightful approaches. This volume therefore explores the complex interrelations between R&I (both in general and in specific fields) and political economies across a number of key dimensions from health to environment, and universities to the military. The Routledge Handbook of the Political Economy of Science offers a unique collection of texts across a range of issues in this burgeoning and important field from a global selection of top scholars. The handbook is essential reading for students interested in the political economy of science, technology and innovation. It also presents succinct and insightful summaries of the state of the art for more advanced scholars.

To properly understand the nature of the digital economy we need to investigate the phenomenon of a "ubiquitous computing system" (UCS). As defined by Robin Milner, this notion implies the following characteristics: (i) it will continually make decisions hitherto made by us; (ii) it will be vast, maybe 100 times today's systems; (iii) it must continually adapt, on-line, to new requirements; and, (iv) individual UCSs will interact with one another. This book argues that neoclassical approaches to modelling economic behaviour based on optimal control by "representative-agents" are ill-suited to a world typified by concurrency, decentralized control, and interaction. To this end, it argues for the development of new, process-based approaches to analysis, modelling, and simulation. The book provides the context-both philosophical and mathematical-for the construction and application of new, rigorous, and meaningful analytical tools. In terms of social theory, it adopts a Post-Cognitivist approach, the elements of which include the nature philosophy of Schelling, Marx's critique of political economy, Peircean Pragmatism, Whitehead's process philosophy, and Merleau-Ponty's phenomenology of the flesh, along with cognitive scientific notions of embodied cognition and neural Darwinism, as well as more questionable notions of artificial intelligence that are encompassed by the rubric of "perception-and-action-without-intelligence".