Innovation is a Team Activity

Innovation is a Team Activity

Which attributes help people to collaborate? A simulation game provides some clues.
What factors impact team performance? A supply chain simulation offers some clues.

Supply chain management is a team endeavor, and developing an effective operational team is a challenge for any organization. But including innovation in the mix compounds that challenge.

A study conducted last January by the MIT Supply Chain Strategy Lab sheds light on the dynamics of supply chain teams, and the factors that impact their performance. The study indicates that to successfully tackle innovation projects, a supply chain team should be composed of members with the knowledge, visibility, commitment and competence necessary to collaborate across multiple functional areas, in the pursuit of shared objectives.

The sample for the study was a group of 112 master’s students from the MIT Global SCALE Network. The students took part in a supply chain simulation known as The Fresh Connection. Students were grouped in teams of four members, chosen by a third party to maximize the diversity of centers represented in each team. The typical team was composed of students from four different centers who had never met each other.

The Fresh Connection simulation revolves around a fictitious company based in the Netherlands that manufactures and sells orange juice. At the beginning of the game the company is operating at a loss, and the mission of the team is to rescue it by making it profitable again. In the simulation, there are four functional positions in the company, focusing respectively on purchasing, operations, logistics, and sales. Each function is helmed by a different student. Although they do have visibility into each other’s decisions, each one of these four positions controls only the decisions that correspond to their respective functions. Since there is no fifth position overseeing and coordinating the efforts of the previous four, the members have to find a way to work as a team, as opposed to operating as independent functions, in order to achieve the common goal of maximizing the company’s return on investment (ROI).

A total of 28 teams took place in the simulation, each one starting with an identical ROI of negative 8.5%. The teams competed against each other over six rounds – each round more complex than the previous one – to bring their companies back into the black and push their ROIs as high as possible. The simulation was set so that over the first four rounds, separate teams could not affect each other’s results: each company’s performance was based on their own decisions. (So, for example, when by the end of the fourth round a given team had actually worsened their company’s ROI from ─8.5% all the way down to ─23.3%, they had nobody to blame but themselves.) The level of realism, however, was increased in the last two rounds, by allowing more successful teams to steal market share from less successful ones.

In theory, it would have been possible for all teams to end the game with positive ROIs; in practice, only half of the teams managed to bring their companies into the black. By the end of the six rounds, companies in our simulation had ROIs as high as 10.7% and as low as -19.7%, giving us a wide spectrum of performances, and the perfect opportunity to test some ideas about what features were common to the better performing teams. Before the last round, the students participating in the exercise were asked to complete, individually, a survey with two dozen questions about the internal dynamics of their team.

The preparation of the survey administered to students in January 2016 actually started four years before. Back in January 2013, the first time The Fresh Connection was used with MIT SCALE Network students, one of the teams went on to manage their supply chain exceptionally well. In-depth interviews were conducted with the members, which suggested some traits that could be behind their success as a team. This preliminary list of traits was expanded in January 2014, during the second time the simulation was run, by conversations with members from some of the best performing and worst performing teams of that year’s cohort. In January 2015, during the third simulation, a pilot survey including over two dozen questions derived from the insights gleaned from the last two years, was administered to that year’s cohort. Before administering the survey again in January 2016, the least relevant questions were removed, and a few were added or reworded for clarity. A total of 103 students out of 112 completed the survey this past January, for a response rate above 90%.

The findings of the study are very interesting. Whereas the amount of time that the team members dedicated to making decisions was found not to be a good predictor of superior performance, the amount of effort that the students gave to the simulation was actually strongly correlated with good performance. The study found that having common goals and a figure of leadership were also predictors of superior performance, as were good communication and a team spirit.

However, the five strongest predictors of good performance in the supply chain teams were: having an agreed-upon strategy, a good enough understanding by each team member of the challenges of their own function, giving high enough priority to the decision making, having a good capacity for analyzing the problems faced, and having a good knowledge of the challenges facing the other functions. This last trait was the single best predictor of good performance in a supply chain team.

While the findings may be applicable to supply chain teams in general, they may be especially relevant to those undertaking innovation projects. Just like those teams, the students in our study found themselves in a new organizational context, working with unfamiliar colleagues, and facing a thoroughly new set of supply chain challenges for which they had not been prepared. A clear strategy, sufficient priority, analytical competence and good knowledge of both one’s own function and those of others: these are the traits that allowed the student teams in our study to perform better than their peers, under great time pressure and against increasing levels of complexity. These may also be the key factors for making supply chain teams better at facing the challenges of innovation.

This post is based on an article written by Dr. Roberto Perez-Franco, founder and director of the MIT Supply Chain Strategy Lab. The full article is published in the November 2016 issue of Supply Chain Management Review. The author can be reached at: roberto@mit.edu

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