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LUBS3185
Module Reading List

People Analytics: Strategy and Practice, 2018/19, Semester 1
Andy Charlwood
A.Charlwood@leeds.ac.uk
Tutor information is taken from the Module Catalogue

Part 1 Reading List

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1. Introductory lecture

Key reading

Arellano, Carla Alexander DiLeonardo, and Ignacio Felix (2017) Using People Analytics to Drive Business Performance: A Case Study. McKinsey Quarterly, July. http://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/using-people-analytics-to-drive-business-performance-a-case-study?cid=other-eml-alt-mkq-mck-oth-1707ts&hlkid=d6579922cf3a42de9be7b9ec342e16fc&hctky=9175239&hdpid=c9f72ddd-fc7a-4a84-9456-153535153813

Garvin, David (2013) How Google Sold Its Engineers on Management. Harvard business review. ISSN: 0017-8012, December. https://hbr.org/2013/12/how-google-sold-its-engineers-on-management

 

 

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2. People analytics in the context of HRM

Lecture two: Key reading

Charlwood, Andy and Nigel Dias (2018) Analysing HR Analytics: How do organisations successfully build HR analytics functions? London: HR Analytics Thinktank  [You can find this underneath the lecture slides in the learning resources section].

Fink, Alexis and Keith McNulty (2018) If You Haven’t Invested in Analytics, Start Now. Here’s How. https://www.tlnt.com/if-you-havent-invested-in-analytics-start-now-heres-how/

Background reading

Angrave, David, Andy Charlwood, Ian Kirkpatrick, Mark Lawrence, Mark Stuart (2016) Why HR is Set to Fail the Big Data Challenge. Human Resource Management Journal, 26(1): 1 – 11. http://onlinelibrary.wiley.com/doi/10.1111/1748-8583.12090/full  

Charlwood, Andy and Kim Hoque (2017) Managing People: Understanding the Theory and Practice of Human Resources Management in Adrian Wilkinson, Steven J. Armstrong, and Michael Lounsbury (eds) The Oxford handbook of management. Oxford: OUP.

Davenport, Thomas, Jeanne Harris and Jeremy Shapiro (2010) Competing on Talent Analytics. Harvard Business Review, October. https://hbr.org/2010/10/competing-on-talent-analytics

Kaur, Jasmit and Alexis Fink (2017) Trends and Practices in Talent Analytics. http://www.siop.org/SIOP-SHRM/2017%2010_SHRM-SIOP%20Talent%20Analytics.pdf

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3. People analytics and strategy execution

Levenson, Alec (2016) Using Workforce Analytics to Improve Strategy Execution, Center for Effective Organizations, University of Southern California. https://ceo.usc.edu/files/2017/11/G16-08675.pdf

a more recent version of this article is:

Levenson, Alec (2018) 'Using Workforce Analytics to Improve Strategy Execution' Human resource management. ISSN: 0090-4848; 1099-050X, 57(3): 685 - 700. https://onlinelibrary.wiley.com/doi/abs/10.1002/hrm.21850 

Background reading

Rasmussen, Thomas and Dave Ulrich (2015) ‘Learning from practice: how HR analytics avoids being a management fad’ Organizational Dynamics, 44(3): 236 – 242. https://www.sciencedirect.com/science/article/pii/S0090261615000443

Roher, Julia M. (2018) ‘Thinking clearly about correlations and causation: graphical causal models and observational data.’ Advances in Methods and Practices in Psychological Science 1(1): 27 – 42. http://journals.sagepub.com/doi/abs/10.1177/2515245917745629

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4. From Strategy to Operations: Reporting, dashboards and visualisation

Smith, Alan (2017) ‘Data mistakes and how to avoid them’ Financial Times https://www.ft.com/content/3b59f690-d129-11e7-b781-794ce08b24dc

Issac, Dan (2018) Visualising Pigeons and Donuts: A case study. https://www.graphicinsight.org/ideas

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5. Basic people insight: modelling attrition

Key Reading:

Charlwood, Andy and Nigel Dias (2018) Analysing HR Analytics: How do organisations successfully build HR analytics functions? London: HR Analytics Thinktank

Background reading

Lee, Thomas, Peter Hom Marion Ebery, Junchao Li and Terence Mitchell (2017) ‘On the next decade of research in voluntary employee turnover.’ The Academy of Management perspectives. ISSN: 1558-9080 31(3)

https://www.researchgate.net/profile/Thomas_Lee60/publication/317311935_On_The_Next_Decade_of_Research_in_Voluntary_Employee_Turnover/links/5a0a9ebfaca272d40f414118/On-The-Next-Decade-of-Research-in-Voluntary-Employee-Turnover.pdf

Rombaut, Evy and Marie-Anne Guerry (2018) ‘Predicting voluntary turnover through human resources database analysis’ Management Research Review 41(1): 96 – 112.  http://www.emeraldinsight.com/eprint/VDV3GXJCHJYZ9AUTS2WR/full

Listen:

https://vimeo.com/207042665 - HR Analytics ThinkTank #2 with Kevin Dickens from Experian, speaking on predictive attrition modelling. (password 3N3N).

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6. Guest lecture Ian Baillie

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7. Employee engagement and performance

Key Reading:

Harter, J.K., Schmitt, F.L., and Hayes, T.L. (2002) Business-unit-level relationship between employee satisfaction, employee engagement and business outcomes: A meta-analysis. Journal of Applied Psychology. ISSN: 0021-9010, 87(2): 268 – 279. http://www.factorhappiness.at/downloads/quellen/s17_harter.pdf

Kahn, W. A. 1990. Psychological conditions of personal engagement and disengagement at work. Academy of Management journal. ISSN: 0001-4273, 33(4): 692–724. https://engagementresearch.wikispaces.com/file/view/Kahn+(1990)_Psychological+conditions+of+personal+engagement+and+disengagement+at+work.pdf

Roher, Julia M. (2018) ‘Thinking clearly about correlations and causation: graphical causal models and observational data.’ Advances in Methods and Practices in Psychological Science 1(1): 27 – 42. http://journals.sagepub.com/doi/abs/10.1177/2515245917745629

Background reading:

Edwards, Martin and Kirsten Edwards (2016). Predictive HR analytics : mastering the HR metric ISBN: 9780749473914 (pbk.) : £29.99. London: Kogan Page. Case Study 2: Employee Attitudes Surveys – Engagement and Workforce Perceptions. pp. 144 – 189.

Garvin, David (2013) How Google Sold Its Engineers on Management. Harvard business review. ISSN: 0017-8012, December. https://hbr.org/2013/12/how-google-sold-its-engineers-on-management

Lawler, E. E. (2013) ‘Engagement and performance: Old wine in a new bottle’ Forbes ISSN: 0015-6914, 9 April http://www.forbes.com/sites/edwardlawler/2013/04/09/engagement-and-performance-old-wine-in-a-new-bottle/

Rasmussen, Thomas and Dave Ulrich (2015). Learning from practice: how HR analytics avoids being a management fad. Organizational dynamics. ISSN: 0090-2616, 44(3): 236 – 242. http://www.sciencedirect.com/science/article/pii/S0090261615000443

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8. Change Management

Key Reading

Hughes, M (2010) Managing change : a critical perspective, 2nd Edition, Basingstoke: CIPD. In particular chapters 10, 17 and 18  OCR REQUESTED BY LIBRARY (KR 25/10/2018) 

Further Reading

Kotter, J. P. (1995) Leading Change: Why Transformation Efforts Fail. Harvard business review. (March-April, 1995:59-67).

Cawsey, T.F., Deszca, G. and Ingols, C., 2016. Organizational change: An action-oriented toolkit (3rdedn.) Sage. Chapter 7.

Hayes, J. (2010) The Theory and Practice of Change Management, Third Edition, London: Palgrave,Chapters 2 and 10

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9. Safe hospital staffing

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10. Ethics and people analytics

Key Reading:

Davenport, Thomas H. (2017) When Jobs Become Commodities. MIT Sloan Management Review. July. http://sloanreview.mit.edu/article/when-jobs-become-commodities/  

boyd, D. and Crawford, K., 2012. Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon. Information, communication and society. ISSN: 1369-118x, 15(5), pp.662-679.  

Background Reading:

O’Neil, Cathy (2016) How algorithms rule our working lives.The Guardian, September 1. https://www.theguardian.com/science/2016/sep/01/how-algorithms-rule-our-working-lives

Dinnen, Mervyn (2014)The Uberfication of Knowledge. https://mervyndinnen.wordpress.com/2014/12/18/the-uberfication-of-knowledge/

European Union (N.D.) General Data Protection Regulation Portal. http://www.eugdpr.org/

Gal, Uri (2017) Why algorithms won’t necessarily lead to utopian workplaces.The Conversation, February 21st. http://theconversation.com/why-algorithms-wont-necessarily-lead-to-utopian-workplaces-73132

Galer, Susan (2017) Make Sure Your Hiring Algorithms Are Legal: Four Machine Learning Questions To Ask. https://www.forbes.com/sites/sap/2017/01/26/make-sure-your-hiring-algorithms-are-legal/#ff7050364c75

Haque, U. (2015). ‘The Asshole Factory’. Available at https://medium.com/bad-words/the-asshole-factory-71ff808d887c

Kolah, Ardi (2017)Ethics and the Processing of Employee Data. https://www.linkedin.com/pulse/ethics-processing-employee-data-ardi-kolah-ll-m?trk=hp-feed-article-title-share

Levin, Sam (2017) Accused of underpaying women, Google says it's too expensive to get wage data. The Guardian., 26th May. https://www.theguardian.com/technology/2017/may/26/google-gender-discrimination-case-salary-records

Staley, Oliver (2017) employers-are-using-sentiment-analysis-and-analyzing-your-emails-and-slack-chats-to-see-if-youre-happy-at-work.Quartzhttps://qz.com/910394/employers-are-using-sentiment-analysis-and-analyzing-your-emails-and-slack-chats-to-see-if-youre-happy-at-work/ 

This list was last updated on 13/11/2018