𝔖 Scriptorium
✦   LIBER   ✦

📁

Relational Analytics: Guidelines for Analysis and Action

✍ Scribed by Jody Hoffer Gittell, Hebatallah Naim Ali


Publisher
Routledge
Year
2021
Tongue
English
Leaves
205
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


This guidebook goes beyond people analytics to provide a research-based, practice-tested methodology for doing relational analytics, based on the science of relational coordination.

We are witnessing a revolution in people analytics, where data are used to identify and leverage human talent to drive performance outcomes. Today’s workplace is interdependent, however, and individuals drive performance through networks that span department, organization and sector boundaries. This book shares the relational coordination framework, with a validated scalable analytic tool that has been used successfully across dozens of countries and industries to understand, measure and influence networks of relationships in and across organizations, and which can be applied at any level in the private and public sectors worldwide.

Graduate students and practitioners in human resource management, health policy and management, organizational behavior, engineering and network analysis will appreciate the methodology and hands-on guidance this book provides, with its focus on identifying, analyzing and building networks of productive interdependence.

Online resources include data appendices and statistical commands that can be used to conduct all these analyses in readers’ own organizations.

✦ Table of Contents


Cover
Half Title
Title Page
Copyright Page
Dedications
Table of Contents
About the Authors
Preface
Acknowledgements
Chapter 1: From People Analytics to Relational Analytics
The People Analytics Revolution
Limitations of People Analytics
How Well Do Relational Analytics Address Current Limitations of People Analytics?
Relational Analytics as the New Frontier
Social Networks and Social Capital as Two Approaches to Relational Analytics
Relational Coordination as a Third Approach to Relational Analytics
Commonalities with Social Networks and Social Capital
Summing Up
References
Chapter 2: The Theory of Relational Coordination
What is Relational Coordination?
Overview of Relational Coordination Theory
Coordination Based on Roles
Specific Dimensions of Communication and Relationships
Communication Dimensions of Relational Coordination
Frequent Communication
Timely Communication
Accurate Communication
Problem-Solving Communication
Relationship Dimensions of Relational Coordination
Shared Goals
Shared Knowledge
Mutual Respect
Mutually Reinforcing Cycles of Communicating and Relating
How Relational Coordination Drives Quality and Efficiency Outcomes
How Relational Coordination Supports Client Engagement
How Relational Coordination Drives Worker Well-Being
How Relational Coordination Drives Learning and Innovation
When Relational Coordination Matters Most—Contingency Effects
Task Interdependence
Uncertainty
Time Constraints
Expanding Relational Coordination to Include More of the Relevant Stakeholders
Coordinating with “Invisible Workers”
Coordinating with Your Customers
Coordinating with Others in Your Supply Network or Ecosystem
How Organizational Structures Support Relational Coordination—or Not
The Relational Model of Organizational Change
Summing Up
References
Chapter 3: Evidence About the Outcomes and Predictors of Relational Coordination
Methods for This Systematic Review
Descriptive Data
Findings About the Outcomes of Relational Coordination
Quality Outcomes
Efficiency Outcomes
Worker Outcomes
Learning and Innovation
Findings About Predictors of Relational Coordination
Selection and Training for Teamwork
Relational Job Design
Relational Leadership Roles
Boundary Spanner Roles
Shared Accountability and Rewards
Conflict Resolution
Shared Meetings
Shared Space
Shared Protocols and Routines
Shared Information Systems
Relational and Work Process Interventions
Summing Up
References
Chapter 4: Choosing a Research/Evaluation Design to Answer Your Questions
What is Research/Evaluation Design?
Research vs. Evaluation Design
How to Strengthen Your Research Design
Assignment
Comparison Groups
Measurement
Intervention
Examples of Research Designs Investigating Relational Coordination
Takeaway Lessons for Research Design
Summing Up
References
Chapter 5: Measuring Relational Coordination
Why the Network Approach to Measuring Relational Coordination?
Survey Items
Who to Survey, About Whom, and About What
Including the “Not Applicable” (NA) Response Option—Or Not?
Systematic Approaches for Determining Which Ties are Relevant or “Applicable”
Unit of Observation and Unit of Analysis
Measuring Coordination Around a Focal Work Process or an Individual Client?
Measuring Relational Coordination Among Individuals
Including Both Core and Noncore Roles in Your Survey
Administering the Survey
Sampling Participants
In Person, by Mail, and Online Options
Measuring Relational Coordination with Leaders—Relational Leadership
Measuring Relational Coordination with Clients—Relational Coproduction
Measuring Relational Coordination in a Multistage or Cross-Organizational Work Process
Other Innovations in the Measurement of Relational Coordination
Accurate Communication Added as the Seventh Dimension
Frequent Communication Question and Response Options Changed
Short-form Survey Created
New Language Options Added
Summing Up
References
Chapter 6: Constructing Relational Coordination Variables
Constructing the Seven Dimensions of Relational Coordination
Using Factor Analysis and Cronbach’s Alpha to Assess Construct Validity
Principles of Factor Analysis
When to Use Exploratory or Confirmatory Factor Analysis
Assessing Relational Coordination through Exploratory or Confirmatory Factor Analysis
Creating the Relational Coordination Index or the Communication and Relationships Subindices
Computing Relational Coordination Within and Between Roles
Computing Relational Coordination Between Particular Roles
Accounting for Missing Values Using Proportional Weighting
Custom Weighting Note
Continuous Versus Nominal Reporting of the RC Index
Summing Up
References
Chapter 7: Visualizing and Analyzing Relational Coordination Data with Matrices and Networks
Principles of Social Network Analysis
Matrix Diagrams
Blockmodeling Using Matrix Diagrams
Network Visualization Analysis
Manipulation
Alternative Views of the Same Relational Coordination Network
Layout
Layout Options for Relational Coordination Data
Other Attributes—Color, Shape and Size
Network Metrics—Density, Centrality, Betweenness, Cohesion and Ranking
Density
Centrality and Betweenness
Cohesion
Ranking
Summing Up
References
Chapter 8: Measuring the Organizational Structures That Shape Relational Coordination
The Organizational Structures Assessment Tool (OSAT)
Customizing the OSAT Interview Questions
Conducting Systematic Interviews
Coding Your OSAT Interview Data
Creating Variables for Each Organizational Structure and an Index for All Structures
Analyzing and Reporting Results from the OSAT for Practitioners
Summing Up
References
Chapter 9: Analyzing the Outcomes and Predictors of Relational Coordination
Testing for Differences between Sites, Groups, Organizations, and More
Analyzing Predictors of Relational Coordination
Analyzing Outcomes of Relational Coordination
Analyzing Mediation
Analyzing Moderation
Analyzing the Dynamic Relational Model of Organizational Change
Analyzing Changes in Relational Coordination Over Time, Pre- and Postintervention
Summing Up
References
Chapter 10: Leveraging Relational Analytics to Create Positive Change
Stage 1: Explore the Context and Introduce Relational Coordination
Stage 2: Create a Multi-Stakeholder Change Team
Stage 3: Measure Relational Coordination, Structures, and Outcomes
Stage 4: Reflect on Findings and Engage in Sensemaking
Sharing Relational Data with Participants
Stage 5: Design and Implement Interventions
Relational Interventions
Work Process Interventions
Structural Interventions
Stage 6: Assess Impact and Refine Interventions As Needed
Summing Up
References
Chapter 11: Moving Forward with Research and Action
What We’ve Tried To Do In This Book
New Frontiers
Variable Effects of Boundary Spanners on Relational Coordination
Conflict Resolution and Shared Spaces Need More Attention
From Information Technology to Artificial Intelligence
Impact of Diversity on Relational Coordination
Noncore Roles and Relational Coordination
Distributional Consequences of Relational Coordination
Interventional Uses of Relational Analytics
Micro Mechanisms for Developing Relational Coordination
Inviting You to Be the Change
References
Index


📜 SIMILAR VOLUMES


Relational Analysis: Guidelines for Esti
✍ J. Gilbert Kaufman 📂 Library 📅 2011 🏛 ASM International 🌐 English

This book demonstrates how to use relational analysis methodology to extrapolate and estimate properties of metallic alloys at high temperatures from lower temperature data, and for estimating the properties of alloys for which scant property data exists. Data tables and graphs are presented for a w

Guidelines for Process Hazards Analysis,
✍ Hyatt N. 📂 Library 📅 2003 🌐 English

This manual offers an overview of hazards analysis as it applies to the process and allied industries. The guidelines provide practical guidance to both novices and seasoned risk professionals and can be used in conjunction with PHA-Pro software. Coverage includes risk concepts and terminology, as w