Organizational Science

Organizing consists of making other people work. We do this by manip ulating symbols: words, exhortations, memos, charts, signs of status. We expect these symbols to have the desired effects on the people con cerned. The success of our organizing activities depends on whether the others do attach to our symbols the meanings we expect them to. Whether or not they do so is a function of what I have sometimes called "the programs in their minds" -their learned ways of thinking, feeling, and reacting-in short, a function of their culture. The assumption that organizations could be culture-free is naive and myopic; it is based on a misunderstanding of the very act of organizing. Certainly, few people who have ever worked abroad will make this assumption. The dependence of organizations on their people's mental pro grams does not mean, of course, that we do not find many similarities across organizations. Some characteristics of human mental program ming are universal; others are shared by most people in a continent, a country, a region, an industry, a scientific discipline, or even a gender.

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.

This comprehensive overview of all aspects of the publishing process has been written especially for prospective authors who want to learn more about the field to advance their careers and publishing success. More than just a `how to' book, this volume explains the entire context of scholarly publishing and how it should, ideally, work toward advancing knowledge and successful management practice.

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.

If he were an assistant professor today, what work would social science giant Donald T. Campbell be doing in the field of organization science? Joel A. C. Baum and Bill McKelvey explore this question in Variations in Organization Science. This volume reveals and celebrates Campbell's many contributions to the field by presenting new variations that stem directly from his work. Rather than analyzing Campbell's work, chapter authors pursue additional implications and further applications of his perspective to organization science - some of which Campbell himself might have pursued if he were starting out as an assistant professor in 1999.

Every leader understands the burning need for change–and every leader knows how risky it is, and how often it fails. To make organizational change work, you need to base it on science, not intuition. Despite hundreds of books on change, failure rates remain sky high. Are there deep flaws in the guidance change leaders are given? While eschewing the pat answers, linear models, and change recipes offered elsewhere, Paul Gibbons offers the first blueprint for change that fully reflects the newest advances in mindfulness, behavioral economics, the psychology of risk-taking, neuroscience, mindfulness, and complexity theory. Change management, ostensibly the craft of making change happen, is rife with myth, pseudoscience, and flawed ideas from pop psychology. In Gibbons’ view, change management should be “euthanized” and replaced with change agile businesses, with change leaders at every level. To achieve that, business education and leadership training in organizations needs to become more accountable for real results, not just participant satisfaction (the “edutainment” culture). Twenty-first century change leaders need to focus less on project results, more on creating agile cultures and businesses full of staff who have “get to” rather than “have to” attitudes. To do that, change leaders will have to leave behind the old paradigm of “carrots and sticks,” both of which destroy engagement. “New analytics” offer more data-driven approaches to decision making, but present a host of people challenges—where petabyte information flows meet traditional decision-making structures. These approaches will have to be complemented with “leading with science”—that is, using evidence-based management to inform strategy and policy decisions. In The Science of Successful Organizational Change , you'll learn: How the VUCA (Volatile, Uncertain, Complex, and Ambiguous) world affects the scale and pace of change in today’s businesses How understanding of flaws in human decision-making can help leaders guide their teams toward wiser strategic decisions when the stakes are largest—including “when to trust your guy and when to trust a model” and “when all of us are smarter than one of us” How new advances in neuroscience have altered best practices in influencing colleagues; negotiating with partners; engaging followers' hearts, minds, and behaviors; and managing resistance How leading organizations are making use of the science of mindfulness to create agile learners and agile cultures How new ideas from analytics, forecasting, and risk are humbling those who thought they knew the future–and how the human side of analytics and the psychology of risk are paradoxically more important in this technologically enabled world What complexity theory means for decision-making in the context of your own business How to create resilient and agile business cultures and anti-fragile, dynamic business structures To link science with your "on-the-ground" reality, Gibbons tells “warts and all” stories from his twenty-plus years consulting to top teams and at the largest businesses in the world. You'll find case studies from well-known companies like IBM and Shell and CEO interviews from Nokia and Barclays Bank.

Written by outstanding scholars, the themes of this book cover a wide range of issues at the heart of the study of organizations. These include debates over the role of economics in strategic management research and the now classic exchanges between Jeff Pfeffer and John Van Maanen over the direction of organization science studies; discourses that describe, analyze and critique ways to represent and understand organizations, including a re-appraisal of Gibson Burrell and Gareth Morgan's seminal work on sociological paradigms of organizational analysis and views on (organizational) culture expressed by several leading writers on the topic: It includes dialogues on some quite radical or unusual "takes" on organizational life: the role of the tempered radical, working inside the organization for fundamental change; the dilemmas facing individuals' publishing qualitative research in mainstream journals; the implications of adopting a spiritual lens to the study of organizations; and a discussion of ways to better bridge the gap between academic thinking and business practice.

Edited by a collective of ten academics at the University of Warwick, this set incorporates some of the best works within organization studies.