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.
In The Laws of the Knowledge Workplace, Dr Jemielniak has collected research-based chapters providing deep, interdisciplinary insight into knowledge professions, addressing issues of professional identity, emotion, power and authority, trust and indoctrination, and management behaviour. This leads to an examination of issues related to time and work scheduling and its bearing on play, family, symbolic sacrifices, and employee burn-out. In particular, it delves into the identity shifts between knowledge workers and managers, nepotism and turnover intentions among knowledge workers, the implementation of engineering projects, coordination problems in offshore production systems, leadership in virtual teams, decision support systems; taking into account the moral aspects of consequences, netnography as a tool for studying knowledge work, and innovative networks in the aviation industry. The accounts and studies in this book come from management, organization studies, sociology, and anthropology of work perspectives and are fully international in scope. They highlight the scale of the serious changes in occupational roles and to the meaning of work that is taking place in knowledge-intensive environments and give a pointer to what might constitute good and bad management practice in knowledge-intensive companies.
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.
This Element proposes a clear and up-to-date description of the state of artificial intelligence today, not only in terms of business processes and strategies, but also its societal reception. It presents our view of the technology landscape, avoiding both the forward-looking, rose-colored utopia and the hyper-apocalyptic gloom. It does so in a concise form, addressing a complex issue in 9 concise and easy-to-read chapters. It aims to discuss the current state of machine learning and AI in strategic management, and to describe the emerging technologies. It conceptualizes their adoption, and then consider the effects of AI technologies' maturity in business organizations.
The knowledge worker is a welcome addition to the ethnographic investigation of high-tech work. The author's thoughtful comparative approach, contrasting the oft-studied American knowledge workers with their less familiar Polish counterparts, offers a refreshing take on the post industrial workplace and demonstrates once again the profound changes that high-tech work has made in the nature of work, the worker and the workplace, far beyond Silicon Valley.' Gideon Kunda, Tel Aviv University, Israel 'The body of research addressing knowledge-intensive and creative work is massive and is quickly growing, but Dariusz Jemielniak manages to bring some new issues and perspectives to the table in his carefully designed study of the Polish and American computer programming community, making concepts such as time, trust, and motivation constitutive elements of contemporary knowledge work. Being able to bring together ethnographic research and organization theory and social science more broadly, The New Knowledge Workers is a significant contribution to the understanding of contemporary working life in the so-called "knowledge society".' Alexander Styhre, University of Gothenburg, Sweden 'Jemielniak's book combines detailed comparative ethnographic observations with organizational analysis to highlight how little we actually know about the operations of knowledge-intensive organizations. Arguing that ancient commonplaces about a "greener", more egalitarian, post-Taylorist future rely on ignoring real-time observations of real people in context, Jemielniak's portrait of the knowledge society of the 21st century shows it to be more like the Fordist society of the 20th century than the utopia so many futurists choose to imagine. His book tells us it is time to begin observing again if we wish to "know" rather than "believe" what the future holds for us.' Davydd J. Greenwood, Cornell University, US 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.
In The Laws of the Knowledge Workplace, Dr Jemielniak has collected research-based chapters providing deep, interdisciplinary insight into knowledge professions, addressing issues of professional identity, emotion, power and authority, trust and indoctrination, and management behaviour. This leads to an examination of issues related to time and work scheduling and its bearing on play, family, symbolic sacrifices, and employee burn-out. In particular, it delves into the identity shifts between knowledge workers and managers, nepotism and turnover intentions among knowledge workers, the implementation of engineering projects, coordination problems in offshore production systems, leadership in virtual teams, decision support systems; taking into account the moral aspects of consequences, netnography as a tool for studying knowledge work, and innovative networks in the aviation industry. The accounts and studies in this book come from management, organization studies, sociology, and anthropology of work perspectives and are fully international in scope. They highlight the scale of the serious changes in occupational roles and to the meaning of work that is taking place in knowledge-intensive environments and give a pointer to what might constitute good and bad management practice in knowledge-intensive companies.
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.
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.
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 explores the culture of modern high-tech workplaces and the different challenges and opportunities that new technologies present for modern workers and employers, reviewing various management practices throughout the world"--Provided by publisher.
The knowledge worker is a welcome addition to the ethnographic investigation of high-tech work. The author's thoughtful comparative approach, contrasting the oft-studied American knowledge workers with their less familiar Polish counterparts, offers a refreshing take on the post industrial workplace and demonstrates once again the profound changes that high-tech work has made in the nature of work, the worker and the workplace, far beyond Silicon Valley.' Gideon Kunda, Tel Aviv University, Israel 'The body of research addressing knowledge-intensive and creative work is massive and is quickly growing, but Dariusz Jemielniak manages to bring some new issues and perspectives to the table in his carefully designed study of the Polish and American computer programming community, making concepts such as time, trust, and motivation constitutive elements of contemporary knowledge work. Being able to bring together ethnographic research and organization theory and social science more broadly, The New Knowledge Workers is a significant contribution to the understanding of contemporary working life in the so-called "knowledge society".' Alexander Styhre, University of Gothenburg, Sweden 'Jemielniak's book combines detailed comparative ethnographic observations with organizational analysis to highlight how little we actually know about the operations of knowledge-intensive organizations. Arguing that ancient commonplaces about a "greener", more egalitarian, post-Taylorist future rely on ignoring real-time observations of real people in context, Jemielniak's portrait of the knowledge society of the 21st century shows it to be more like the Fordist society of the 20th century than the utopia so many futurists choose to imagine. His book tells us it is time to begin observing again if we wish to "know" rather than "believe" what the future holds for us.' Davydd J. Greenwood, Cornell University, US 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.
Provides 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.
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