5.7 Decision Making in Groups

Groupthink

Have you ever been in a decision-making group that you felt was heading in the wrong direction, but you didn’t speak up and say so? If so, you have already been a victim of groupthink. Groupthink is a group pressure phenomenon that increases the risk of the group making flawed decisions by leading to reduced mental efficiency, reality testing, and moral judgment. Groupthink is characterized by eight symptoms that include (Janis, 1972):

1. Illusion of invulnerability shared by most or all of the group members that creates excessive optimism and encourages them to take extreme risks.
2. Collective rationalizations where members downplay negative information or warnings that might cause them to reconsider their assumptions.
3. An unquestioned belief in the group’s inherent morality that may incline members to ignore ethical or moral consequences of their actions.
4. Stereotyped views of out-groups are seen when groups discount rivals’ abilities to make effective responses.
5. Direct pressure on any member who expresses strong arguments against any of the group’s stereotypes, illusions, or commitments.
6. Self-censorship when members of the group minimize their own doubts and counterarguments.
7. Illusions of unanimity based on self-censorship and direct pressure on the group; the lack of dissent is viewed as unanimity.
8. The emergence of self-appointed mindguards where one or more members protect the group from information that runs counter to the group’s assumptions and course of action.

While research on groupthink has not confirmed all of the theory, groups do tend to suffer from symptoms of groupthink when they are large and when the group is cohesive because the members like each other (Esser, 1998; Mullen, et. al., 1994). The assumption is that the more frequently a group displays one or more of the eight symptoms, the worse the quality of their decisions will be.

However, if your group is cohesive, it is not necessarily doomed to engage in groupthink.

Tools and Techniques for Making Better Decisions

Nominal Group Technique (NGT) was developed to help with group decision making by ensuring that all members participate fully. NGT is not a technique to be used at all meetings routinely. Rather, it is used to structure group meetings when members are grappling with problem solving or idea generation. It follows four steps (Delbecq, et. al., 1975). First, each member of the group engages in a period of independently and silently writing down ideas. Second, the group goes in order around the room to gather all the ideas that were generated. This goes on until all the ideas are shared. Third, a discussion takes place around each idea and members ask for and give clarification and make evaluative statements. Finally, individuals vote for their favorite ideas by using either ranking or rating techniques. Following the four-step NGT helps to ensure that all members participate fully and avoids group decision-making problems such as groupthink.

Delphi Technique is unique because it is a group process using written responses to a series of questionnaires instead of physically bringing individuals together to make a decision. The first questionnaire asks individuals to respond to a broad question, such as stating the problem, outlining objectives, or proposing solutions. Each subsequent questionnaire is built from the information gathered in the previous one. The process ends when the group reaches a consensus. Facilitators can decide whether to keep responses anonymous. This process is often used to generate best practices from experts. For example, Purdue University professor Michael Campion used this process when he was editor of the research journal Personnel Psychology and wanted to determine the qualities that distinguished a good research article. Using the Delphi Technique, he was able to gather responses from hundreds of top researchers from around the world without ever having to leave his office and distill them into a checklist of criteria that he could use to evaluate articles submitted to the journal (Campion, 1993).

Majority rule refers to a decision-making rule where each member of the group is given a single vote, and the option that receives the greatest number of votes is selected. This technique has remained popular, perhaps because of its simplicity, speed, ease of use, and representational fairness. Research also supports majority rule as an effective decision-making technique (Hastie & Kameda, 2005). However, those who did not vote in favor of the decision will be less likely to support it.

Consensus is another decision-making rule that groups may use when the goal is to gain support for an idea or plan of action. While consensus tends to take longer in the first place, it may make sense when support is needed to enact the plan. The process works by discussing the issues, generating a proposal, calling for consensus, and discussing any concerns. If concerns still exist, the proposal is modified to accommodate them. These steps are repeated until consensus is reached. Thus, this decision-making rule is inclusive, participatory, cooperative, and democratic. Research shows that consensus can lead to better accuracy (Roch, 2007), and it helps members feel greater satisfaction with decisions (Mohammed & Ringseis, 2001) and to have greater acceptance. However, groups take longer with this approach and groups that cannot reach consensus become frustrated (Peterson, 1999).

Group decision support systems (GDSS) are interactive computer-based systems that are able to combine communication and decision technologies to help groups make better decisions. Organizations know that having effective knowledge management systems to share information is important. Research shows that a GDSS can actually improve the output of group collaborative work through higher information sharing (Lam & Schaubroeck, 2000). Organizations know that having effective knowledge management systems to share information is important, and their spending reflects this reality. According to a 2002 article, businesses invested $2.7 billion into new systems in 2002 and projections were for this number to double every five years. As the popularity of these systems grows, they risk becoming counterproductive. Humans can only process so many ideas and information at one time. As virtual meetings grow larger, it is reasonable to assume that information overload can occur and good ideas will fall through the cracks, essentially recreating a problem that the GDSS was intended to solve that is to make sure every idea is heard. Another problem is the system possibly becoming too complicated. If the systems evolve to a point of uncomfortable complexity, it has recreated the problem of the bully pulpit and shyness. Those who understand the interface will control the narrative of the discussion, while those who are less savvy will only be along for the ride (Nunamaker et al., 1991). Lastly, many of these programs fail to take into account the factor of human psychology. These systems could make employees more reluctant to share information due to lack of control, lack of immediate feedback, the fear of “flaming” or harsher than normal criticism, and the desire to have original information hence more power (Babock, 2004).

Decision trees are diagrams in which answers to yes or no questions lead decision makers to address additional questions until they reach the end of the tree. Decision trees are helpful in avoiding errors such as framing bias (Wright & Goodwin, 2002). Decision trees tend to be helpful in guiding the decision maker to a predetermined alternative and ensuring consistency of decision making—that is, every time certain conditions are present, the decision maker will follow one course of action as opposed to others if the decision is made using a decision tree.