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The integrated meta-model for organizational resource audit is a consistent and comprehensive instrument for auditing intangible resources and their relations and associations from the network perspective. This book undertakes a critically important problem of management sciences, poorly recognized in literature although determining the current and future competitiveness of enterprises, sectors and economies. The author notes the need to introduce a theoretical input, which is manifested by the meta-model. An expression of this treatment is the inclusion of the network as a structure of activities, further knowledge as an activity, and intangible assets as intellectual capital characterized by a structure of connections. The case study presented is an illustration of the use of network analysis tools and other instruments to identify not only the most important resources, tasks or actors, as well as their effectiveness, but also to connect the identified networks with each other. The author opens the field for applying her methodology, revealing the structural and dynamic features of the intangible resources of the organization. The novelty of the proposed meta-model shows the way to in-depth applications of network analysis techniques in an intra-organizational environment. Organizational Network Analysis makes a significant contribution to the development of management sciences, in terms of strategic management and more strictly resource approach to the company through structural definition of knowledge; application of the concept of improvement-oriented audit abandoning a narrow understanding of this technique in terms of compliance; reliable presentation of audits available in the literature; rigorous reasoning leading to the development of a meta-model; close linking of knowledge and resources with the strategy at the design stage of the developed audit model, including the analysis of link dynamics and networks together with an extensive metrics proposal; an interesting illustration of the application with the use of metrics, tables and charts. It will be of value to researchers, academics, managers, and students in the fields of strategic management, organizational studies, social network analysis in management, knowledge management, and auditing knowledge resources in organizations.
The Organizational Network Fieldbook "This is the ultimate resource for practitioners who want to implement insights from organizational network analysis and thinking. Dozens of concrete examples, interventions, and practical advice from network experts show you what you can do to strengthen networks and boost performance. This book is essential for anyone in business, government, or consulting who wants to get network thinking from analysis to action in organizations." WAYNE BAKER, professor of management and organizations, Stephen M. Ross School of Business, University of Michigan "What a great idea this book is! The Organizational Network Fieldbook will demand to be read by anyone undertaking any social network efforts in their organization. It is not only a unique book, but it is also very well thought-out, finely written, and exceptionally pragmatic. It's a great achievement for the authors and a great boon to all practitioners." LARRY PRUSAK, researcher and consultant, and the founder and former director of the Institute for Knowledge Management In this practical companion to the best-selling Driving Results Through Social Networks, the authors draw on their network-building activities in organizations such as ConocoPhillips, 3M, and the United States Department of Defense in order to provide a compilation of highly practical approaches to help leaders shift their focus from formal organizational structures to a better understanding of flexible networks.
Named the Best Management Book of 2021 by strategy+business Named one of "this month's top titles" in the Financial Times in September 2021 Named to the longlist for the 2021 Outstanding Works of Literature (OWL) Award in the Management & Culture category A plan for conquering collaborative overload to drive performance and innovation, reduce burnout, and enhance well-being. Most organizations have created always-on work contexts that are burning people out and hurting performance rather than delivering productivity, innovation and engagement. Collaborative work consumes 85% of employees' time and is drifting earlier into the morning, later into the night, and deeper into the weekend. The dilemma is that we all need to collaborate more to create effective organizations and vibrant careers for ourselves. But conventional wisdom on teamwork and collaboration has created too much of the wrong kind of collaboration, which hurts our performance, health and overall well-being. In Beyond Collaboration Overload, Babson professor Rob Cross solves this paradox by showing how top performers who thrive at work collaborate in a more purposeful way that makes them 18-24% more efficient than their peers. Good collaborators are distinguished by the efficiency and intentionality of their collaboration—not the size of their network or the length of their workday. Through landmark research with more than 300 organizations, in-depth stories, and tools, Beyond Collaboration Overload will coach you to reclaim close to a day a week when you: Identify and challenge beliefs that lead you to collaborate too quickly Impose structure in your work to prevent unproductive collaboration Alter behaviors to create more efficient collaboration It then outlines how successful people invest this reclaimed time to: Cultivate a broad network—not a big one—for innovation and scale Energize others—a strong predictor of high performance Connect with others to reduce micro-stressors and enhance physical and mental well-being Cross' framework provides relief from the definitive problem of our age—dysfunctional collaboration at the expense of our performance, health and overall well-being.
Lack of Agility is the kiss of death. Position your company to succeed in world of change.To edge out the competition in today’s disruptive environment, you need to ensure that your company is agile—that it can respond to change instantly and effectively. Because fast and furious change is the only thing you can count on in business today.Network expert Michael Arena helped enable GM’s legendary turnaround. In these pages, he explains how you can transform your own company through the concept of adaptive space. Based on hundreds of interviews and the author’s own groundbreaking study of dozens of organizations spanning a variety of industries, Adaptive Space shows how to position your company for today—and for the future—by enabling creativity, innovation, and novel ideas to flow freely among teams, across departments, and throughout the company. Using GM as the main case study—along with the stories of other highly adaptive organizations, like Apple, Amazon, Disney, and Gore—Arena provides a model you can follow to reinvent your company. It’s about inspiring employees to explore new ideas, empowering the most creative people and teams to spread their ideas across the organization, and operationalizing the entrepreneurial spirit so adaptability is set in stone. Hesitation is a killer in today’s business landscape. With Adaptive Space, you have everything you need to confront disruption with smart, confident actions and seize the valuable opportunities that come with change.
FINALIST: Business Book Awards 2019 - HR and Management Category Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization as a whole. Data-Driven HR is a practical guide which enables HR professionals to leverage the value of the vast amount of data available at their fingertips. Covering how to identify the most useful sources of data, collect information in a transparent way that is in line with data protection requirements and turn this data into tangible insights, this book marks a turning point for the HR profession. Covering all the key elements of HR including recruitment, employee engagement, performance management, wellbeing and training, Data-Driven HR examines the ways data can contribute to organizational success by, among other things, optimizing processes, driving performance and improving HR decision making. Packed with case studies and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations.
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. - Winner of the 2017 PROSE Award in Biomedicine & Neuroscience and the 2017 British Medical Association (BMA) Award in Neurology - Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems - Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience - Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain
Driving Results Through Social Networks shows executives and managers how to obtain substantial performance and innovation impact by better leveraging these traditionally invisible assets. For the past decade, Rob Cross and Robert J. Thomas have worked closely with executives from over a hundred top-level companies and government agencies. In this groundbreaking book, they describe in-depth how these leaders are using network thinking to increase revenues, lower costs, and accelerate innovation.
The first book demonstrating how to apply the principles of social network analysis to managing complex projects This groundbreaking book gets project managers and students up to speed on state-of-the-art applications of social network analysis (SNA) for observing, analysing, and managing complex projects. Written by an expert at the leading edge of the SNA project management movement, it clearly demonstrates how the principles of social network analysis can be used to provide a smarter, more efficient, holistic approach to managing complex projects. Project managers, especially those tasked with managing large, complex construction and engineering projects, traditionally have relied upon analysis and decision-making based upon hierarchical structures and vaguely defined project systems, much of which is borrowed from historic scientific management approaches. However, it has become apparent that a more sophisticated methodology is required for observing project systems and managing relationships with today’s more knowledgeable and demanding clients. Social network analysis (SNA) provides just such an approach. Unfortunately, existing books on social network analysis are written primarily for sociologists and mathematicians, with little or no regard for the needs of project managers — until now. The first and only book of its kind, Managing Networks in Project-Based Organisations: Offers a framework and a fully-developed approach to applying SNA theory and methodologies to large, complex projects Describes highly effective strategies and techniques for managing the iterative and transient relationships between network-defining actor roles involved in the delivery of complex projects Uses numerous real-world examples and case studies of successful applications of SNA to large-scale construction and engineering projects around the world Draws on its author’s decades of experience managing complex projects for demanding clients, as well as his extensive academic research in Project Management Managing Networks in Project-Based Organisations is an important working resource for project management professionals and consultants, especially those serving the construction and engineering industries. It is also an excellent text/reference for postgraduate students of project management and supply chain management, as well as academic researchers of project management.
This volume provides new insights into the functioning of organizational, managerial and market societies. Multilevel analysis and social network analysis are described and the authors show how they can be combined in developing the theory, methods and empirical applications of the social sciences. This book maps out the development of multilevel reasoning and shows how it can explain behavior, through two different ways of contextualizing it. First, by identifying levels of influence on behavior and different aggregations of actors and behavior, and complex interactions between context and behavior. Second, by identifying different levels as truly different systems of agency: such levels of agency can be examined separately and jointly since the link between them is affiliation of members of one level to collective actors at the superior level. It is by combining these approaches that this work offers new insights. New case studies and datasets that explore new avenues of theorizing and new applications of methodology are presented. This book will be useful as a reference work for all social scientists, economists and historians who use network analyses and multilevel statistical analyses. Philosophers interested in the philosophy of science or epistemology will also find this book valuable. ​
We are living in a digital era in which most of our daily activities take place online. This has created a big data phenomenon that has been subject to scientific research with increasingly available tools and processing power. As a result, a growing number of social science scholars are using computational methods for analyzing social behavior. To further the area, these evolving methods must be made known to sociological research scholars. Opportunities and Challenges for Computational Social Science Methods focuses on the implementation of social science methods and the opportunities and challenges of these methods. This book sheds light on the infrastructure that should be built to gain required skillsets, the tools used in computational social sciences, and the methods developed and applied into computational social sciences. Covering topics like computational communication, ecological cognition, and natural language processing, this book is an essential resource for researchers, data scientists, scholars, students, professors, sociologists, and academicians.