Data, Methods and Theory in the Organizational Sciences

Data, Methods and Theory in the Organizational Sciences

Author: Kevin R. Murphy

Publisher: Routledge

Published: 2022-02-20

Total Pages: 398

ISBN-13: 1000551261

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Data, Methods and Theory in the Organizational Sciences explores the long-term evolution and changing relationships between data, methods, and theory in the organizational sciences. In the last 50 years, theory has come to dominate research and scholarship in these fields, yet the emergence of big data, as well as the increasing use of archival data sets and meta-analytic methods to test empirical hypotheses, has upset this order. This volume examines the evolving relationship between data, methods, and theory and suggests new ways of thinking about the role of each in the development and presentation of research in organizations. This volume utilizes the latest thinking from experts in a wide range of fields on the topics of data, methods, and theory and uses this knowledge to explore the ways in which behavior in organizations has been studied. This volume also argues that the current focus on theory is both unhealthy for the field and unsustainable, and it provides more successful ways theory can be used to support and structure research, and demonstrates the most effective techniques for analyzing and making sense of data. This is an essential resource for researchers, professionals, and educators who are looking to rethink their current approaches to research, and who are interested in creating more useful and more interpretable research in the organizational sciences.


Book Synopsis Data, Methods and Theory in the Organizational Sciences by : Kevin R. Murphy

Download or read book Data, Methods and Theory in the Organizational Sciences written by Kevin R. Murphy and published by Routledge. This book was released on 2022-02-20 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data, Methods and Theory in the Organizational Sciences explores the long-term evolution and changing relationships between data, methods, and theory in the organizational sciences. In the last 50 years, theory has come to dominate research and scholarship in these fields, yet the emergence of big data, as well as the increasing use of archival data sets and meta-analytic methods to test empirical hypotheses, has upset this order. This volume examines the evolving relationship between data, methods, and theory and suggests new ways of thinking about the role of each in the development and presentation of research in organizations. This volume utilizes the latest thinking from experts in a wide range of fields on the topics of data, methods, and theory and uses this knowledge to explore the ways in which behavior in organizations has been studied. This volume also argues that the current focus on theory is both unhealthy for the field and unsustainable, and it provides more successful ways theory can be used to support and structure research, and demonstrates the most effective techniques for analyzing and making sense of data. This is an essential resource for researchers, professionals, and educators who are looking to rethink their current approaches to research, and who are interested in creating more useful and more interpretable research in the organizational sciences.

Data, Methods and Theory in the Organizational Sciences

Data, Methods and Theory in the Organizational Sciences

Author: Kevin R. Murphy

Publisher: Taylor & Francis

Published: 2022-02-20

Total Pages: 384

ISBN-13: 1000551210

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Data, Methods and Theory in the Organizational Sciences explores the long-term evolution and changing relationships between data, methods, and theory in the organizational sciences. In the last 50 years, theory has come to dominate research and scholarship in these fields, yet the emergence of big data, as well as the increasing use of archival data sets and meta-analytic methods to test empirical hypotheses, has upset this order. This volume examines the evolving relationship between data, methods, and theory and suggests new ways of thinking about the role of each in the development and presentation of research in organizations. This volume utilizes the latest thinking from experts in a wide range of fields on the topics of data, methods, and theory and uses this knowledge to explore the ways in which behavior in organizations has been studied. This volume also argues that the current focus on theory is both unhealthy for the field and unsustainable, and it provides more successful ways theory can be used to support and structure research, and demonstrates the most effective techniques for analyzing and making sense of data. This is an essential resource for researchers, professionals, and educators who are looking to rethink their current approaches to research, and who are interested in creating more useful and more interpretable research in the organizational sciences.


Book Synopsis Data, Methods and Theory in the Organizational Sciences by : Kevin R. Murphy

Download or read book Data, Methods and Theory in the Organizational Sciences written by Kevin R. Murphy and published by Taylor & Francis. This book was released on 2022-02-20 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data, Methods and Theory in the Organizational Sciences explores the long-term evolution and changing relationships between data, methods, and theory in the organizational sciences. In the last 50 years, theory has come to dominate research and scholarship in these fields, yet the emergence of big data, as well as the increasing use of archival data sets and meta-analytic methods to test empirical hypotheses, has upset this order. This volume examines the evolving relationship between data, methods, and theory and suggests new ways of thinking about the role of each in the development and presentation of research in organizations. This volume utilizes the latest thinking from experts in a wide range of fields on the topics of data, methods, and theory and uses this knowledge to explore the ways in which behavior in organizations has been studied. This volume also argues that the current focus on theory is both unhealthy for the field and unsustainable, and it provides more successful ways theory can be used to support and structure research, and demonstrates the most effective techniques for analyzing and making sense of data. This is an essential resource for researchers, professionals, and educators who are looking to rethink their current approaches to research, and who are interested in creating more useful and more interpretable research in the organizational sciences.

Methodology, Theory, and Knowledge in the Managerial and Organizational Sciences

Methodology, Theory, and Knowledge in the Managerial and Organizational Sciences

Author: Eliezer Geisler

Publisher: Bloomsbury Publishing USA

Published: 1999-06-30

Total Pages: 249

ISBN-13: 0313035474

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Geisler argues that the over-reliance on co-variation techniques and statistical methods, instead of process approach and in-depth analysis, produces meaningless knowledge in the managerial and organizational sciences, and indeed throughout all the social sciences. He offers instead a new and different approach, based on the notion of what he calls dynamic morphologies—an architecture of slicing complex phenomena. This way it is possible to explain many inconsistencies in research findings, and to find a cohesive, systematic outlook on research, research design, and knowledge creation. Intellectually challenging and following in the footsteps of Kuhn, Argyris, and Popper, Geisler's approach is frankly revolutionary in research design and contains its own notions, terms, and nomenclature. A provocative discussion for academics and others well trained in the organizational, managerial, and social sciences. Geisler's dynamic morphologies provide a means to research complex phenomena and gain knowledge about them. They are composed of a chain of events, combined logically and temporally, and a method by which this process is studied. Geisler also contends that knowledge in the organizational and managerial sciences is only viable when it describes and explains the complex, higher-order phenomena. Therefore, theory building and research in these fields must be linked to higher-order constructs and the phenomena that they attempt to explain. This is the central notion of amplitude that Geisler introduces and describes. His book also criticizes the evolutionary epistemology view of knowledge creation and contends that knowledge in all of these fields of study in general is not evolutionary, but instead, cumulative and expansive.


Book Synopsis Methodology, Theory, and Knowledge in the Managerial and Organizational Sciences by : Eliezer Geisler

Download or read book Methodology, Theory, and Knowledge in the Managerial and Organizational Sciences written by Eliezer Geisler and published by Bloomsbury Publishing USA. This book was released on 1999-06-30 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geisler argues that the over-reliance on co-variation techniques and statistical methods, instead of process approach and in-depth analysis, produces meaningless knowledge in the managerial and organizational sciences, and indeed throughout all the social sciences. He offers instead a new and different approach, based on the notion of what he calls dynamic morphologies—an architecture of slicing complex phenomena. This way it is possible to explain many inconsistencies in research findings, and to find a cohesive, systematic outlook on research, research design, and knowledge creation. Intellectually challenging and following in the footsteps of Kuhn, Argyris, and Popper, Geisler's approach is frankly revolutionary in research design and contains its own notions, terms, and nomenclature. A provocative discussion for academics and others well trained in the organizational, managerial, and social sciences. Geisler's dynamic morphologies provide a means to research complex phenomena and gain knowledge about them. They are composed of a chain of events, combined logically and temporally, and a method by which this process is studied. Geisler also contends that knowledge in the organizational and managerial sciences is only viable when it describes and explains the complex, higher-order phenomena. Therefore, theory building and research in these fields must be linked to higher-order constructs and the phenomena that they attempt to explain. This is the central notion of amplitude that Geisler introduces and describes. His book also criticizes the evolutionary epistemology view of knowledge creation and contends that knowledge in all of these fields of study in general is not evolutionary, but instead, cumulative and expansive.

Big Data at Work

Big Data at Work

Author: Scott Tonidandel

Publisher: Routledge

Published: 2015-11-06

Total Pages: 321

ISBN-13: 1317702697

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The amount of data in our world has been exploding, and analyzing large data sets—so called big data—will become a key basis of competition in business. Statisticians and researchers will be updating their analytic approaches, methods and research to meet the demands created by the availability of big data. The goal of this book is to show how advances in data science have the ability to fundamentally influence and improve organizational science and practice. This book is primarily designed for researchers and advanced undergraduate and graduate students in psychology, management and statistics.


Book Synopsis Big Data at Work by : Scott Tonidandel

Download or read book Big Data at Work written by Scott Tonidandel and published by Routledge. This book was released on 2015-11-06 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: The amount of data in our world has been exploding, and analyzing large data sets—so called big data—will become a key basis of competition in business. Statisticians and researchers will be updating their analytic approaches, methods and research to meet the demands created by the availability of big data. The goal of this book is to show how advances in data science have the ability to fundamentally influence and improve organizational science and practice. This book is primarily designed for researchers and advanced undergraduate and graduate students in psychology, management and statistics.

Data Theory

Data Theory

Author: Simon Lindgren

Publisher: John Wiley & Sons

Published: 2020-09-01

Total Pages: 138

ISBN-13: 1509539298

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The datafication of our world offers huge challenges and opportunities for social science. The ‘data-drivenness’ of computational research can occur at the expense of theoretical reflection and interpretation. Additionally, it can be difficult to reconcile the ‘quantitative’ dimensions of big data with the ‘qualitative’ sensibilities needed for its understanding. At the same time, this opens up possibilities for reimagining key principles of social inquiry. In this experimental and provocative book, Simon Lindgren argues that a hybrid approach to data and theory must be developed in order to make sense of today's ambivalent, turbulent, and media-saturated political landscape. He pushes for the development of a critical science of data, joining the interpretive theoretical and ethical sensibilities of social science with the predictive and prognostic powers of data science and computational methods. In order for theories and research methods to be more useful and relevant, they must be dismantled and put together in new, alternative, and unexpected ways. Data Theory is essential reading for social scientists and data scientists, as well as students taking courses in social theory and data, digital methods, big data, and data and society.


Book Synopsis Data Theory by : Simon Lindgren

Download or read book Data Theory written by Simon Lindgren and published by John Wiley & Sons. This book was released on 2020-09-01 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: The datafication of our world offers huge challenges and opportunities for social science. The ‘data-drivenness’ of computational research can occur at the expense of theoretical reflection and interpretation. Additionally, it can be difficult to reconcile the ‘quantitative’ dimensions of big data with the ‘qualitative’ sensibilities needed for its understanding. At the same time, this opens up possibilities for reimagining key principles of social inquiry. In this experimental and provocative book, Simon Lindgren argues that a hybrid approach to data and theory must be developed in order to make sense of today's ambivalent, turbulent, and media-saturated political landscape. He pushes for the development of a critical science of data, joining the interpretive theoretical and ethical sensibilities of social science with the predictive and prognostic powers of data science and computational methods. In order for theories and research methods to be more useful and relevant, they must be dismantled and put together in new, alternative, and unexpected ways. Data Theory is essential reading for social scientists and data scientists, as well as students taking courses in social theory and data, digital methods, big data, and data and society.

Principles and Methods for Data Science

Principles and Methods for Data Science

Author:

Publisher: Elsevier

Published: 2020-05-28

Total Pages: 498

ISBN-13: 0444642129

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Principles and Methods for Data Science, Volume 43 in the Handbook of Statistics series, highlights new advances in the field, with this updated volume presenting interesting and timely topics, including Competing risks, aims and methods, Data analysis and mining of microbial community dynamics, Support Vector Machines, a robust prediction method with applications in bioinformatics, Bayesian Model Selection for Data with High Dimension, High dimensional statistical inference: theoretical development to data analytics, Big data challenges in genomics, Analysis of microarray gene expression data using information theory and stochastic algorithm, Hybrid Models, Markov Chain Monte Carlo Methods: Theory and Practice, and more. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Handbook of Statistics series Updated release includes the latest information on Principles and Methods for Data Science


Book Synopsis Principles and Methods for Data Science by :

Download or read book Principles and Methods for Data Science written by and published by Elsevier. This book was released on 2020-05-28 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles and Methods for Data Science, Volume 43 in the Handbook of Statistics series, highlights new advances in the field, with this updated volume presenting interesting and timely topics, including Competing risks, aims and methods, Data analysis and mining of microbial community dynamics, Support Vector Machines, a robust prediction method with applications in bioinformatics, Bayesian Model Selection for Data with High Dimension, High dimensional statistical inference: theoretical development to data analytics, Big data challenges in genomics, Analysis of microarray gene expression data using information theory and stochastic algorithm, Hybrid Models, Markov Chain Monte Carlo Methods: Theory and Practice, and more. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Handbook of Statistics series Updated release includes the latest information on Principles and Methods for Data Science

Handbook of Qualitative Organizational Research

Handbook of Qualitative Organizational Research

Author: Kimberly D. Elsbach

Publisher: Routledge

Published: 2015-11-19

Total Pages: 521

ISBN-13: 1317908783

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This handbook provides a comprehensive overview of state-of-the-art, innovative approaches to qualitative research for organizational scholars. Individual chapters in each area are written by experts in a variety of fields, who have contributed some of the most innovative studies themselves in recent years. An indispensable reference guide to anyone conducting high-impact organizational research, this handbook includes innovative approaches to research problems, data collection, data analysis and interpretation, and application of research findings. The book will be of interest to scholars and graduate students in a wide variety of disciplines, including anthropology, organizational behavior, organizational theory, social psychology, and sociology


Book Synopsis Handbook of Qualitative Organizational Research by : Kimberly D. Elsbach

Download or read book Handbook of Qualitative Organizational Research written by Kimberly D. Elsbach and published by Routledge. This book was released on 2015-11-19 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides a comprehensive overview of state-of-the-art, innovative approaches to qualitative research for organizational scholars. Individual chapters in each area are written by experts in a variety of fields, who have contributed some of the most innovative studies themselves in recent years. An indispensable reference guide to anyone conducting high-impact organizational research, this handbook includes innovative approaches to research problems, data collection, data analysis and interpretation, and application of research findings. The book will be of interest to scholars and graduate students in a wide variety of disciplines, including anthropology, organizational behavior, organizational theory, social psychology, and sociology

Longitudinal Field Research Methods

Longitudinal Field Research Methods

Author: George P. Huber

Publisher: SAGE

Published: 1995-08-02

Total Pages: 392

ISBN-13: 9780803970915

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Eleven papers, some of which have appeared previously as contributions to the journal Organizational Science , emphasize a range of methodological issues involved in longitudinal field research, including ethnographic methods, longitudinal and comparative case studies, event history analysis, and real-time tracking of events, as well as procedural.


Book Synopsis Longitudinal Field Research Methods by : George P. Huber

Download or read book Longitudinal Field Research Methods written by George P. Huber and published by SAGE. This book was released on 1995-08-02 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Eleven papers, some of which have appeared previously as contributions to the journal Organizational Science , emphasize a range of methodological issues involved in longitudinal field research, including ethnographic methods, longitudinal and comparative case studies, event history analysis, and real-time tracking of events, as well as procedural.

Chapter 13 Rebuilding Relationships Between Data, Method, and Theories

Chapter 13 Rebuilding Relationships Between Data, Method, and Theories

Author: Jeffrey M. Cucina

Publisher:

Published: 2022

Total Pages: 43

ISBN-13: 9780367857646

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In both Management and I/O Psychology, contributions to theory remain an important, and in many cases, sole criterion for evaluating submissions to top journals. In many ways, the definition of theory and the primacy of theory in the organizational sciences is an outlier; in most sciences, articles rarely even mention theories, much less build themselves around advancing theory. We propose that the classic description of the scientific methods provides a better guide to understanding the relationships between data, methods and theory than our current model, which often starts and ends with proposing a theory, which may never again be referenced or tested. We describe a pyramid of types of evidence that is useful for assessing the reliability and worth of particular sorts of data and show how this approach to evidence informs the scientific method and assists in identifying and building useful theories.


Book Synopsis Chapter 13 Rebuilding Relationships Between Data, Method, and Theories by : Jeffrey M. Cucina

Download or read book Chapter 13 Rebuilding Relationships Between Data, Method, and Theories written by Jeffrey M. Cucina and published by . This book was released on 2022 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: In both Management and I/O Psychology, contributions to theory remain an important, and in many cases, sole criterion for evaluating submissions to top journals. In many ways, the definition of theory and the primacy of theory in the organizational sciences is an outlier; in most sciences, articles rarely even mention theories, much less build themselves around advancing theory. We propose that the classic description of the scientific methods provides a better guide to understanding the relationships between data, methods and theory than our current model, which often starts and ends with proposing a theory, which may never again be referenced or tested. We describe a pyramid of types of evidence that is useful for assessing the reliability and worth of particular sorts of data and show how this approach to evidence informs the scientific method and assists in identifying and building useful theories.

Modern Research Methods for the Study of Behavior in Organizations

Modern Research Methods for the Study of Behavior in Organizations

Author: Jose M. Cortina

Publisher: Routledge

Published: 2013-03-12

Total Pages: 524

ISBN-13: 1135068461

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The goal of the chapters in this SIOP Organizational Frontiers Series volume is to challenge researchers to break away from the rote application of traditional methodologies and to capitalize upon the wealth of data collection and analytic strategies available to them. In that spirit, many of the chapters in this book deal with methodologies that encourage organizational scientists to re-conceptualize phenomena of interest (e.g., experience sampling, catastrophe modeling), employ novel data collection strategies (e.g., data mining, Petri nets), and/or apply sophisticated analytic techniques (e.g., latent class analysis). The editors believe that these chapters provide compelling solutions for the complex problems faced by organizational researchers.


Book Synopsis Modern Research Methods for the Study of Behavior in Organizations by : Jose M. Cortina

Download or read book Modern Research Methods for the Study of Behavior in Organizations written by Jose M. Cortina and published by Routledge. This book was released on 2013-03-12 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of the chapters in this SIOP Organizational Frontiers Series volume is to challenge researchers to break away from the rote application of traditional methodologies and to capitalize upon the wealth of data collection and analytic strategies available to them. In that spirit, many of the chapters in this book deal with methodologies that encourage organizational scientists to re-conceptualize phenomena of interest (e.g., experience sampling, catastrophe modeling), employ novel data collection strategies (e.g., data mining, Petri nets), and/or apply sophisticated analytic techniques (e.g., latent class analysis). The editors believe that these chapters provide compelling solutions for the complex problems faced by organizational researchers.