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LUBS5342M
Module Reading List

People Analytics: Strategy and Practice, 2018/19, Semester 1
Xanthe Whittaker
x.whittaker@leeds.ac.uk
Tutor information is taken from the Module Catalogue

People Analytics: Lecture Reading list Part 1: Lectures 1 - 5

Key readings: Essential reading to help you to understand the topics covered in the lectures

Further readings: Additional articles you can read if you want to deepen your understanding of the lecture topic

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Lecture one

Key reading

Arellano, Carla Alexander DiLeonardo, and Ignacio Felix (2017) Using People Analytics to Drive Business Performance: A Case Study. The McKinsey quarterly. ISSN: 0047-5394, 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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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  Available from: https://www.hranalyticsthinktank.com/blog/  

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. ISSN: 0954-5395, 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. ISSN: 0017-8012, 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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Lecture three

Key reading

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 newer version of the same 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. ISSN: 0090-2616, 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 ISSN: 2515-2459 1(1): 27 – 42. http://journals.sagepub.com/doi/abs/10.1177/2515245917745629

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Lecture four

Key reading

Smith, Alan (2017) ‘Data mistakes and how to avoid them’ The 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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Lecture five

Key reading

Charlwood, Andy and Nigel Dias (2018) Analysing HR Analytics: How do organisations successfully build HR analytics functions? London: HR Analytics Thinktank  Available from: https://www.hranalyticsthinktank.com/blog/  

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 ISSN: 0140-9174 41(1): 96 – 112. https://www.emeraldinsight.com/doi/abs/10.1108/MRR-04-2017-0098

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Lecture seven: 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. , 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. , 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 ISSN: 2515-2459 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 . 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. , 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 , 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. , 44(3): 236 – 242. http://www.sciencedirect.com/science/article/pii/S0090261615000443

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Lecture Eight: Change Management

Key Reading

Hughes, M (2010) Managing change : a critical perspective, 2nd Edition, Basingstoke: CIPD. In particular chapters 10, 17 and 18  Available as an Online Course Reading in Minerva 

Further Reading

Kotter, J. P. (1995) Leading Change: Why Transformation Efforts Fail. Harvard business review. ISSN: 0017-8012 (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 12 and 11

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Lecture 10: Ethics and people analytics

Key Readings: 

https://hbr.org/2018/09/the-happy-tracked-employee

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

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

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

Background Reading:

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 18/11/2018