The concepts of knowledge management and knowledge-intensive work have been developing for quite a while as one of the most critical components to organizational success. Despite its importance across the globe, there has never been a truly international resource to address the issues, trends, and theories involved in this area of study. ""The Handbook of Research on Knowledge-Intensive Organizations"" offers an international collection of studies on knowledge-intensive organizations with insight into organizational realities as varied as universities, consulting agencies, corporations, and high-tech start-ups. As one of the first comprehensive books to cover the topics vitally important for the whole theory of organization and management, this ""Handbook of Research"" delivers a state-of-the-art view on this timely issue.

The concept of innovation management and learning organizations concepts strongly emphasize the high role of human/intellectual capital in the company and the crucial function of knowledge in modern society. However, there is often a paradox between managerial language and actual practice in many organizations: on one hand, knowledge-workers are perceived as the most valued members of organizations while, on the other, they are being manipulated and "engineered"-commonly driven to burn-out, and deprived of family life. All this leads to the emergence of new organizational phenomena that, up to now, have been insufficiently analyzed and described. Management Practices in High-Tech Environments studies this issue thoroughly from an international, comparative, cross-cultural perspective, presenting cutting-edge research on management practices in American, European, Asian and Middle-Eastern high-tech companies, with particular focus on fieldwork-driven, but reflective, contributions.

This book provides a thorough review of tested qualitative methods often used in organization studies, and outlines the challenges and essential requirements of designing a qualitative research project. The methods examined include case studies, observation, interviewing and the repertory grid technique. By highlighting certain key 'rules' for carrying out qualitative research and describing issues that should be avoided, this second volume of Qualitative Methodologies in Organization Studies is essential reading for academics and researchers who wish to understand the current state of qualitative data gathering within organization studies. Those exploring organization studies will find this two-volume collection extremely valuable as it contains robust contributions from highly-skilled authors who are actively researching in this field.

Modern workplaces are far more technology-driven than the organizations of a few decades ago, leading to a different set of challenges for employers to keep their employees working efficiently, and for employees to balance their work and home lives. Managing Dynamic Technology-Oriented Businesses: High-Tech Organizations and Workplaces explores the culture of modern high-tech workplaces and the different challenges and opportunities that new technologies present for modern workers and employers. This pivotal reference will delve deep into management practices throughout the world, including American, European, Asian, and Middle-Eastern high-tech companies.

This book brings together key theories behind qualitative research, whilst drawing attention to novel, cutting-edge approaches to data gathering, such as visual anthropology and storytelling. Offering a comprehensive guide to qualitative analysis, this book goes further than examining research methods to open a discussion on the roles of reflexivity, imagination, emotions and ethics in qualitative research, Covering topics such as reflective analysis, sociological paradigms, action research and organizational ethnography, this book is ideal reading for those who wish to address the gap between undergraduate and postgraduate research-based edited books and encompasses a wide array of methods. Those exploring organization studies will find this two-volume collection extremely valuable as it contains robust contributions from highly-skilled authors who are actively researching in this field.

This critical ethnographic study of knowledge workers and knowledge-intensive organization workplaces focuses on the issues of timing and schedules, the perception of formality and trust and distrust in software development as well as motivation and occupational identity among software engineers. The book is a cross-cultural, comparative study of American and European high-tech workplaces that addresses the issues currently of interest to both Academia and to practice and provides a rare international comparison of organizations from both sides of the Atlantic. Its conclusions shed new light on the problems typical for software projects. The book specifically focuses on, and gives voice to, the perspectives of knowledge workers rather than managers and will thus be useful to not only scholars and human resource managers from software companies, but also to high-tech professionals. Scholars and professionals in organization studies, management, HRM, innovation and knowledge management will find this book engaging and enlightening.

The New Principles of Management is a textbook meant for European students of principles of management. Developed basing mainly on international cases as well as drawing from international examples of managerial practices, it attempts to address the needs of globalized companies better than other, typically US-centric textbooks. The New Principles of Management challenges many of the fossilized and outdated management notions and covers the topics most relevant for modern 21st century organizations, rather than their historic developments.

With an emphasis on peer-produced content and collaboration, Wikipedia exemplifies a departure from traditional management and organizational models. This iconic "project" has been variously characterized as a hive mind and an information revolution, attracting millions of new users even as it has been denigrated as anarchic and plagued by misinformation. Has Wikipedia's structure and inner workings promoted its astonishing growth and enduring public relevance?
In "Common Knowledge?," Dariusz Jemielniak draws on his academic expertise and years of active participation within the Wikipedia community to take readers inside the site, illuminating how it functions and deconstructing its distinctive organization. Against a backdrop of misconceptions about its governance, authenticity, and accessibility, Jemielniak delivers the first ethnography of Wikipedia, revealing that it is not entirely at the mercy of the public: instead, it balances open access and power with a unique bureaucracy that takes a page from traditional organizational forms. Along the way, Jemielniak incorporates fascinating cases that highlight the tug of war among the participants as they forge ahead in this pioneering environment.

With an emphasis on peer-produced content and collaboration, Wikipedia exemplifies a departure from traditional management and organizational models. This iconic "project" has been variously characterized as a hive mind and an information revolution, attracting millions of new users even as it has been denigrated as anarchic and plagued by misinformation. Have Wikipedia's structure and inner workings promoted its astonishing growth and enduring public relevance? In Common Knowledge?, Dariusz Jemielniak draws on his academic expertise and years of active participation within the Wikipedia community to take readers inside the site, illuminating how it functions and deconstructing its distinctive organization. Against a backdrop of misconceptions about its governance, authenticity, and accessibility, Jemielniak delivers the first ethnography of Wikipedia, revealing that it is not entirely at the mercy of the public: instead, it balances open access and power with a unique bureaucracy that takes a page from traditional organizational forms. Along the way, Jemielniak incorporates fascinating cases that highlight the tug of war among the participants as they forge ahead in this pioneering environment.

This book provides a thorough review of tested qualitative methods often used in organization studies, and outlines the challenges and essential requirements of designing a qualitative research project. The methods examined include case studies, observation, interviewing and the repertory grid technique. By highlighting certain key 'rules' for carrying out qualitative research and describing issues that should be avoided, this second volume of Qualitative Methodologies in Organization Studies is essential reading for academics and researchers who wish to understand the current state of qualitative data gathering within organization studies. Those exploring organization studies will find this two-volume collection extremely valuable as it contains robust contributions from highly-skilled authors who are actively researching in this field.

This book brings together key theories behind qualitative research, whilst drawing attention to novel, cutting-edge approaches to data gathering, such as visual anthropology and storytelling. Offering a comprehensive guide to qualitative analysis, this book goes further than examining research methods to open a discussion on the roles of reflexivity, imagination, emotions and ethics in qualitative research, Covering topics such as reflective analysis, sociological paradigms, action research and organizational ethnography, this book is ideal reading for those who wish to address the gap between undergraduate and postgraduate research-based edited books and encompasses a wide array of methods. Those exploring organization studies will find this two-volume collection extremely valuable as it contains robust contributions from highly-skilled authors who are actively researching in this field.

The social sciences are becoming datafied. The questions once considered the domain of sociologists are now answered by data scientists operating on large datasets and breaking with methodological tradition, for better or worse. The traditional social sciences, such as sociology or anthropology, are under the double threat of becoming marginalized or even irrelevant, both from new methods of research which require more computational skills and from increasing competition from the corporate world which gains an additional advantage based on data access. However, unlike data scientists, sociologists and anthropologists have a long history of doing qualitative research. The more quantified datasets we have, the more difficult it is to interpret them without adding layers of qualitative interpretation. Big Data therefore needs Thick Data. This book presents the available arsenal of new methods and tools for studying society both quantitatively and qualitatively, opening ground for the social sciences to take the lead in analysing digital behaviour. It shows that Big Data can and should be supplemented and interpreted through thick data as well as cultural analysis. Thick Big Data is critically important for students and researchers in the social sciences to understand the possibilities of digital analysis, both in the quantitative and qualitative area, and to successfully build mixed-methods approaches.

The social sciences are becoming datafied. The questions once considered the domain of sociologists are now answered by data scientists operating on large datasets and breaking with methodological tradition, for better or worse. The traditional social sciences, such as sociology or anthropology, are under the double threat of becoming marginalized or even irrelevant, both from new methods of research which require more computational skills and from increasing competition from the corporate world which gains an additional advantage based on data access. However, unlike data scientists, sociologists and anthropologists have a long history of doing qualitative research. The more quantified datasets we have, the more difficult it is to interpret them without adding layers of qualitative interpretation. Big Data therefore needs Thick Data. This book presents the available arsenal of new methods and tools for studying society both quantitatively and qualitatively, opening ground for the social sciences to take the lead in analysing digital behaviour. It shows that Big Data can and should be supplemented and interpreted through thick data as well as cultural analysis. Thick Big Data is critically important for students and researchers in the social sciences to understand the possibilities of digital analysis, both in the quantitative and qualitative area, and to successfully build mixed-methods approaches.

How networked technology enables the emergence of a new collaborative society. Humans are hard-wired for collaboration, and new technologies of communication act as a super-amplifier of our natural collaborative mindset. This volume in the MIT Press Essential Knowledge series examines the emergence of a new kind of social collaboration enabled by networked technologies. This new collaborative society might be characterized as a series of services and startups that enable peer-to-peer exchanges and interactions though technology. Some believe that the economic aspects of the new collaboration have the potential to make society more equitable; others see collaborative communities based on sharing as a cover for social injustice and user exploitation. The book covers the "sharing economy," and the hijacking of the term by corporations; different models of peer production, and motivations to participate; collaborative media production and consumption, the definitions of "amateur" and "professional," and the power of memes; hactivism and social movements, including Anonymous and anti-ACTA protest; collaborative knowledge creation, including citizen science; collaborative self-tracking; and internet-mediated social relations, as seen in the use of Instagram, Snapchat, and Tinder. Finally, the book considers the future of these collaborative tendencies and the disruptions caused by fake news, bots, and other challenges.