Answer: resistance to change
Explanation:
From the question, we are informed that InSeason Inc. started a chain of organic supermarkets that had initial success and that the managers achieved a mastery of the firm's current environment, thereby filling a need in the market.
We are further told that InSeason defined and measured it success by financial metrics, with a focus on short-term performance and that as a result, the firm put in place metrics and systems to accommodate and manage increasing firm size due to continued success.
As a result of this tightly coupled system, InSeason developed a resistance to change. Resistance to change could be as a result of fear of failure by the company.
Answer:
Explanation:
1)
: All group means equal or 

At least one of the treatment group means are different
ANOVA TABLE
<u>Source of Variation SS df MS F P-value F crit
</u>
Between Groups 213.5 3 71.16667 0.65 0.5975 3.490295
Within Groups 1312.5 12 109.375
MSB = SSB / DFB = 71.16667
MSE = SSE / DFE = 109.375
F = MSB / MSE = 0.650667
3) P-value: 0.597576
The test statistic is not significant and failed to reject the null hypothesis.
4) The test statistic is not significant. So, there is no evidence to conclude that there is a difference between groups.
Answer:
A price increase of 1% will reduce quantity demanded by 4%
Explanation:
If the price elasticity is 4 then, this demand is highly responsive to changes in price.
So it will decrease by more than the price increase.
we must remember that the price-elasticity is determinate like:
↓QD / ΔP = price-elasticity
if the cofficient is 4 then a 1% increase in price:
↓QD / 0.01 = 4
↓QD = 0.04
Quantity demanded will decrease by 4%