LUBS5342M
Module Reading List
Andrew Charlwood
A.Charlwood@leeds.ac.uk
Tutor information is taken from the Module Catalogue
- Seminar 1.
- Seminar 2.
- Lectures
- 1. People analytics in the context of HRM
- 2. Ethics and people analytics
- 3. Employee engagement and performance
- 4. Predictive Analytics in HR
- 6. From Strategy to Operations: Communicating results and managing change
- 7. Analysing workforce diversity
- 9. Safe hospital staffing
- People analytics and strategy execution
Seminar 1.
Polzer, Jeffrey (2018) Should an algorithm tell you who to promote? Harvard Business Review, May/June: 147 – 151 https://hbr.org/2018/02/case-study-should-an-algorithm-tell-you-who-to-promote
Seminar 2.
Ton, Zeynip (2012) ‘Why “good jobs” are good 4 retailers’ Harvard Business Review, January, https://hbr.org/2012/01/why-good-jobs-are-good-for-retailers
Lectures
1. 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
Arellano, Carla Alexander DiLeonardo, and Ignacio Felix (2017) Using People Analytics to Drive Business Performance: A Case Study. The 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
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
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
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
2. Ethics and people analytics
Primary 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
Gal, U., Jensen, T.B. and Stein, M.K., 2020. Breaking the vicious cycle of algorithmic management: A virtue ethics approach to people analytics. Information and Organization, 30(2), p.100301.
Loi, M., 2020. People Analytics must benefit the people. An ethical analysis of data-driven algorithmic systems in human resources management. Algorithmwatch. Available at: https://algorithmwatch.org/en/wp-content/uploads/2020/03/AlgorithmWatch_AutoHR_Study_Ethics_Loi_2020.pdf
Secondary reading
Ajunwa, I., Crawford, K. and Schultz, J., 2017. Limitless worker surveillance. Calif. L. Rev., 105, p.735.
Adams-Prassl, J., 2019. What if your boss was an algorithm? Economic Incentives, Legal Challenges, and the Rise of Artificial Intelligence at Work. Comp. Lab. L. & Pol'y J., 41, p.123.
Bodie, M.T., Cherry, M.A., McCormick, M.L. and Tang, J., 2017. The law and policy of people analytics. U. Colo. L. Rev., 88, p.961.
Mittelstadt, B.D., Allo, P., Taddeo, M., Wachter, S. and Floridi, L., 2016. The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), p.2053951716679679.
Tursunbayeva, A., Pagliari, C., Di Lauro, S. and Antonelli, G., 2021. The ethics of people analytics: risks, opportunities and recommendations. Personnel Review.
Weiskopf, R. and Hansen, H.K., 2022. EXPRESS: Algorithmic governmentality and the space of ethics: Examples from 'People Analytics'. Human Relations, p.00187267221075346.
3. 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
C Ogbonnaya, D Valizade (2018) High performance work practices, employee outcomes and organizational performance: a 2-1-2 multilevel mediation analysis. The International Journal of Human Resource Management 29 (2), 239-259. https://www.tandfonline.com/doi/full/10.1080/09585192.2016.1146320
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 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
Wake M, Green W (2019). Relationship between employee engagement scores and service quality ratings: analysis of the National Health Service staff survey across 97 acute NHS Trusts in England and concurrent Care Quality Commission outcomes (2012–2016) BMJ Open. doi: 10.1136/bmjopen-2018-026472
4. Predictive Analytics in HR
Key Reading:
Charlwood, Andy and Nigel Dias (2018) Analysing HR Analytics: How do organisations successfully build HR analytics functions? London: HR Analytics Thinktank
Marritt, Andrew (2016) The Greatest Mistake for Many in People Analytics? https://www.linkedin.com/pulse/greatest-mistake-many-people-analytics-andrew-marritt/
Background reading
Athey, Susan (2017). Beyond Prediction: Using Big Data for Policy Problems. Science, 355 (6324): 483 - 485. https://science.sciencemag.org/content/355/6324/483
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. 31(3)
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/207042665/5ed31e8793 - HR Analytics ThinkTank #2 with Kevin Dickens from Experian, speaking on predictive attrition modelling. (password 3N3N).
6. From Strategy to Operations: Communicating results and managing change
Key Reading
Fernando, V., Gallardo-Gallardo (2020) 'Tacking the HR Digitalization Challenge: Key factors and barriers to HR Analytics Adoption', Competitiveness Review (July) Hughes, M (2019) Managing change : a critical perspective, 2nd Edition, Basingstoke: CIPD. In particular chapters 10, 17 and 18
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
Hodges, J., (2021), Managing and Leading People through Organizational Change: The Theory and Practice of Sustaining Change through People. London, Kogan Page
7. Analysing workforce diversity
On diversity and gender pay gaps
Tomlinson, J., Valizade, D., Muzio, D., Charlwood, A. and Aulakh, S. (2019) ‘Privileges and penalties in the legal profession: an intersectional analysis of career progression’ British Journal of Sociology, 70 (3): 1043 – 1066. https://doi.org/10.1111/1468-4446.12375
Woodhams, C., Lupton, B. and Cowling, M. (2015) The Snowballing Penalty Effect: Multiple Disadvantage and Pay. British Journal of Management, 26(1): 63 - 77. https://doi.org/10.1111/1467-8551.12032
Olsen, W. K., & Walby, S. 2004. Modelling Gender Pay Gaps. (EOC WORKING PAPER SERIES). Equal Opportunities Commission. Available at: https://www.research.manchester.ac.uk/portal/files/32800121/FULL_TEXT.PDF
Xaquín G.V., 2017. Can we talk about the gender pay gap? The Washington Post. 26 October 2017. Available at: https://www.washingtonpost.com/graphics/2017/business/women-pay-gap/?utm_term=.31fc20d5a679
Beioley, K. 2021. UK firms grapple with ethnicity pay gap reporting. Financial Times. 17 November 202. Available at: https://www.ft.com/content/3999d140-bf2f-4fd9-8cb9-d5f7bd04402f
On 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/visualising-pigeons-and-donuts-a-case-study
9. Safe hospital staffing
Charlwood, A. (2018) People Analytics: A matter of life and death. https://www.linkedin.com/pulse/people-analytics-matter-life-death-andy-charlwood/
Griffiths P, Maruotti A, Recio Saucedo A On behalf of Missed Care Study Group, et al. (2019) Nurse staffing, nursing assistants and hospital mortality: retrospective longitudinal cohort study. BMJ Quality & Safety 28:609-617. https://qualitysafety.bmj.com/content/28/8/609.info
Marritt, Andrew (2016) The Greatest Mistake for Many in People Analytics? https://www.linkedin.com/pulse/greatest-mistake-many-people-analytics-andrew-marritt/
LW Schreuders, AP Bremner, E Geelhoed, J Finn (2015). The relationship between nurse staffing and inpatient complications. Journal of advanced nursing 71 (4), 800-812. https://onlinelibrary.wiley.com/doi/full/10.1111/jan.12572
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. , 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
This list was last updated on 17/03/2022