Culture Analytics
Kogan Page Ltd (Verlag)
978-1-3986-1747-6 (ISBN)
How can I take a data-driven approach to company culture? What should I measure and which metrics should I focus on? How can people analytics and behavioural science impact culture?
Based on insights from the largest ever behavioural research study which examined the organizational impact of 220+ behaviours from 60 organizations, across 61 countries, Culture Analytics provides an evidence-based approach to organizational culture. It outlines the leading and lagging culture indicators, explains how to identify actionable insights from your people and culture data as well as how to apply predictive analytics to company culture. There is also guidance on the 30 employee behaviours which have the most impact on company culture and how to apply behavioural science interventions to drive these in your organization.
The second part of the book covers key areas where culture analytics can be applied to drive business performance. These areas include talent acquisition and retention, employee engagement, EDI (equity, diversity and inclusion), wellbeing, psychological safety as well as resilience, strategy, innovation, change management and risk. Full of practical advice, this book also includes real world examples from Barclays, Pfizer, American Airlines, EDF Energy, Saudi Telecom Company, Cisco and Ethiad Airways. Making the complex world of people analytics and behavioural science accessible and applicable to all senior HR professionals and business leaders, Culture Analytics shows how to take a robust, evidence-based approach to company culture to drive workforce and organizational performance and deliver tangible business value.
Hani Nabeel is the Chief Behavioural Scientist at iPsychTec, a people analytics and behavioural science company. He has over 20 years' experience in talent management consulting and quantitative behavioural research. He is an in-demand conference speaker and industry writer on all aspects of culture measurement, people analytics and behavioural science. He is based in London, UK.
Chapter - 01: Building clarity - redefining culture & values;
Chapter - 02: Let's talk Behaviours and demystify Behaviour science!;
Chapter - 03: Differences between Behaviours and outcomes;
Chapter - 04: Understanding Cultural Dimensions;
Chapter - 05: Data analytics concepts for actionable insights;
Chapter - 06: The link between organisational culture and its impact on outcome;
Chapter - 07: Applying predictive analytics to culture metrics;
Chapter - 08: You got to know the "why" before you get to the "how" and where";
Chapter - 09: Leveraging leading indicators;
Chapter - 10: Understanding and applying path analysis as the road map for driving change;
Chapter - 11: Simplifying the actionable insights and understanding return on investment (ROI);
Chapter - 12: Cultural Types;
Chapter - 13: Applying behavioural interventions;
Chapter - 14: The Impact of Growth on Organisational Culture;
Chapter - 15: Cultural Navigation in the Digital Age;
Chapter - 16: Gaining predictive insight into employee sentiment through behavioural science and analytics;
Chapter - 17: How to drive successful organisational change through workplace culture and behavioural analytics;
Chapter - 18: Are your HR processes supporting the alignment between culture and strategy?;
Chapter - 19: Going beyond diversity metrics to actionable insights on diversity, equity and inclusion: It’s the behaviours that matter;
Chapter - 20: A tale of two organisations, why innovation needs the letter "C";
Chapter - 21: Safety culture and risk management;
Chapter - 22: What about Agile Culture, does that need the letter "C";
Chapter - 23: The crucial role workplace culture plays in shaping employee wellbeing;
Chapter - 24: Can we make organisational culture the hero it deserves to be?
Erscheinungsdatum | 02.10.2024 |
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Verlagsort | London |
Sprache | englisch |
Maße | 156 x 234 mm |
Themenwelt | Sachbuch/Ratgeber ► Beruf / Finanzen / Recht / Wirtschaft ► Wirtschaft |
Informatik ► Datenbanken ► Data Warehouse / Data Mining | |
Wirtschaft ► Betriebswirtschaft / Management ► Personalwesen | |
Wirtschaft ► Volkswirtschaftslehre ► Mikroökonomie | |
ISBN-10 | 1-3986-1747-4 / 1398617474 |
ISBN-13 | 978-1-3986-1747-6 / 9781398617476 |
Zustand | Neuware |
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