Science of Business by Valueships

8 Insights for Management from Sport Science

Since Moneyball, sport have gone through a transition from gut-driven decisions to using data to understand better how performance of elite athletes is shaped, how teams are built to win and how managerial decisions write sports history. In fact, such data is much more available to scientists than data from corporate, so a lot of the models we use every day to manage our teams derive from sports science. For example, one of such models is equity theory, telling us that the perceived fairness is a tremendous factor influencing our team members' performance. In this Episode, I have summarized some of the least obvious insights from the paper "Using Sports Data to Advance Management Resarch", published recently in Journal of Management. Tune in to learn what we can learn from NBA All Stars, Formula 1, top football teams and other athletes to make our teams thrive and our business – grow faster. Plenty of papers were discussed in this podcast, so if you would like to have a deeper look, check these out: 💡Fonti, F., Ross, J. M., & Aversa, P. (2022). Using Sports Data to Advance Management Research: A Review and a Guide for Future Studies. Journal of Management, 01492063221117525. 💡Kim J. W., King B. G. 2014. Seeing stars: Matthew effects and status bias in Major League Baseball umpiring. Management Science, 60: 2619-2644. 💡Maoret M., Marchesini G, Ertug G. in press. On the status shocks of tournament rituals: How ritual enactment affects productivity, input provision, and performance. Academy of Management Journal. https://doi.org/10.5465/amj.2020.0585. 💡Clough, D., & Piezunka, H. (2020). The tangled relationship between performance and suppliers: lessons from Formula 1. LSE Business Review. 💡Stuart, H. C. (2017). Structural disruption, relational experimentation, and performance in professional hockey teams: A network perspective on member change. Organization Science, 28(2), 283-300. 💡Kilduff, G. J., Elfenbein, H. A., & Staw, B. M. (2010). The psychology of rivalry: A relationally dependent analysis of competition. Academy of Management Journal, 53(5), 943-969. 💡Greve, H. R., Rudi, N., & Walvekar, A. (2021). Rational Fouls? Loss aversion on organizational and individual goals influence decision quality. Organization Studies, 42(7), 1031-1051. 💡Wang, L., & Murnighan, J. K. (2013). The generalist bias. Organizational Behavior and Human Decision Processes, 120(1), 47-61. 💡Johnson, J. G., & Raab, M. (2003). Take the first: Option-generation and resulting choices. Organizational behavior and human decision processes, 91(2), 215-229.

Science based tips to increase success rate of organizational change

According to data from McKinsey (Baggio, Digentiki, Varma, 2019) as many as 70% organizational change initiatives fail to deliver what the expected results. This makes understanding of proper implementation of such initiatives incredibly crucial. In search for some ideas on how to properly implement such interventions, I came across a thorough scientific paper written by Ulrica von Thiele Schwarz and her colleagues forming a multidisciplinary team tackling change from different perspectives. Their list of 10 principles of organisational intervention is a must read for anyone implementing changes in their work across all levels, from small teams to entire organization. Prof. Schwarz accepted my invitation to Science of Business Podcast where we dive even deeper in these principles, searching some practical solutions to: ▶️ Involving essential stakeholders in change initiative ▶️ Defining proper objectives for it ▶️ Considering organizational context that might influence the change ▶️ Designing the change logic ▶️ Managing change implementation and using it beyond the initial purpose Share this podcast with your Managers, Directors, Trainers and other change makers, so the next change you make in your organisation is evidence based. Paper discussed: von Thiele Schwarz, U., Nielsen, K., Edwards, K., Hasson, H., Ipsen, C., Savage, C., ... & Reed, J. E. (2021). How to design, implement and evaluate organizational interventions for maximum impact: The Sigtuna Principles. European Journal of Work and Organizational Psychology, 30(3), 415-427.

How to write more effective social media content according to science?

New research shows that organic social media content brings higher influence on sales than what your clients say about you over the internet. If your company tends to offer deal after deal in your social media, and you wonder if it makes sense to invest time in writing anything else, then you should listen to this interview. Together with Georgia Liadeli from Vrije University Amsterdam, we are exploring her newest paper, summarizing over 95 000 000 observations of how social media activity affects engagement and sales. Listen to get a big picture view on: * What types of content work better for engagement? * What types of content boost your sales? * Which products sell better using organic content? * Is it even worth writing social media content when you are a small company? * What to check when entering new markets? Paper discussed: Liadeli, G., Sotgiu, F., & Verlegh, P. W. (2022). A Meta-Analysis of the Effects of Brands’ Owned Social Media on Social Media Engagement and Sales. Journal of Marketing, 00222429221123250.

How will new technological advancements affect recruitment?

In this episode, we discuss the recent research considering the use of algorithms in recruitment with Djurre Holtrop, PhD, Assistant Professor from Tilburg University – Department of Social Psychology. Over the past years, Djurre was invested heavily in the potential use of Machine Learning and other technologies to support decision-making in corporate recruitment. Listen to this episode to know: - How accurate are the algorithms supporting personality assessment based purely on video interviews - How can you assess personality better during an interview? - Is there a personality model that is even more useful for recruitment purposes than Big 5? - How to make one-way video interviews more attractive to candidates? - In which way the technology of computer-assisted recruitment will develop in near future? - What is THE worst mistake practitioners make, that contradict decades of recruitment research? If you work in HR department, or you are involved in recruitment processes at your company, don't skip this episode not to miss the trends to watch and best practices to implement to hire better! Articles discussed: Djurre Holtrop, Janneke K. Oostrom, Ward R. J van Breda, Antonis Koutsoumpis & Reinout E. de Vries (2022) Exploring the application of a text-to-personality technique in job interviews, European Journal of Work and Organizational Psychology, 31:6, 799-816, DOI: 10.1080/1359432X.2022.2051484 Dunlop, P. D., Holtrop, D., & Wee, S. (2022). How asynchronous video interviews are used in practice: A study of an Australian‐based AVI vendor. International Journal of Selection and Assessment.

The science behind effective Agile Work Practices

In this episode, I'm talking with Tom Junker, Assistant Professor at Tilburg University. We discuss his work on Agile Work Practices (AWP) and their influence on teamwork results. Listen to this episode to know: - How the Agile Work Practices divide into those oriented on taskwork and those oriented on teamwork? - How to measure Agile Transformation using recently developed AWP scale? - What is the relationship between agile work and creativity? - Which of the Agile Work Practices influence proactivity the most? - What is the paradox embedded in agile work? This episode is a must for all the scrum masters, agile product owners, agile coaches and other practitioners invested and interested in agile project management science. Papers referenced in this episode: Junker, T. L., Bakker, A. B., Gorgievski, M. J., & Derks, D. (2021). Agile work practices and employee proactivity: A multilevel study. Human Relations 00187267211030101. Junker, T. L., Bakker, A. B., Derks, D., & Molenaar, D. (2022). Agile work practices: measurement and mechanisms. European Journal of Work and Organizational Psychology, 1-22.m Ghosh, S., & Wu, A. (2021). Iterative coordination and innovation: prioritizing value over novelty. Organization Science. Brown, S. L., & Eisenhardt, K. M. (1997). The art of continuous change: Linking complexity theory and time-paced evolution in relentlessly shifting organizations. Administrative science quarterly, 1-34.