Final answer:
The statement about higher levels of employee involvement leading to more influence in the decision-making process is true. Voting rates in the U.S. are not higher than those in Sweden and South Korea, and majority rule can fail when there are more than two choices. Informational social influence is more likely when answers are unclear and the group is expert, while term limits have not significantly increased the number of women in state legislatures.
Step-by-step explanation:
The assertion that higher levels of employee involvement equate to more influence over the decision-making process is generally true. When employees are more involved, they often have a greater say in decisions that affect their work and the business as a whole. However, this does not discount the complexity involved in decision-making processes. As participation increases, so do transaction costs, making it harder to reach a decision, particularly as the group size grows and decisions become more complex.
Regarding Dillon's Rule, the statement is false; this rule actually restricts local government autonomy by stating that local governments only have powers expressly granted by the state government. As for voting rates, the claim that the United States has higher voting rates than countries such as Sweden and South Korea is also false; these countries typically have higher voter turnout.
The concept of majority rule suggests that it can indeed fail to produce a conclusive outcome when more than two choices are presented. This is because of the potential for a voting cycle, where the majority can have circular preferences, such as preferring policy A over B, B over C, and yet C over A, leading to no definitive preference.
Informational social influence is more likely under conditions when the answer to a situation is unclear and when the group has expertise (both b and c).
Lastly, term limits have not produced a statistically significant increase in the number of women serving in state legislatures; this statement is false. And, a positive correlation does not inherently indicate health benefits; it simply means there is an association between two variables, which might or might not be beneficial.