Business Management
Rey writer
Business Management
Name
Institution
QUESTION 3.5
(A)
An automobile manufacturer observes the demand for its brand increasing as per capita income increases. Sales increases also follow low-interest rates, which ease credit conditions. Buyer purchase behavior is seen to be dependent on age and gender. Other factors influencing sales appear to fluctuate almost randomly (competitor advertising, competitor dealer discounts, and introductions of new competitive models).
Sales are dependent or reliant on low-interest rates, for the reason that interest rate has an influence or effect on the payment. This type of the relationship is seen in and throughout the housing businesses or industries. Housing sales have a tendency to decrease or reduce when the interest rate rises, within a regular market as well as rises or increases only when the interest rate decreases and falls. Significantly, per capita revenue or income will be an independent mutable or valuable. Owing to the reason that sales are directly impacted or affected by the increase in per capita income.as a result, this will have a huge influence for high end as well as extravagance retailers who highly rely on higher income stipendiaries for a number of their sales.
According to Monteiro, C. A., Levy, R. B., Claro, R. M., de Castro, I. R. R., & Cannon, G. (2010), as revenue increases, customers will have additional expendables proceeds to devote on extravagance or luxury items. The main reason as in why the age, as well as gender/sex factors, will be self-governing is because they are mutually dependent to one another. On the other hand, there is no definite or precise correlation amongst age and sex/gender in about rummage sales. On the other hand, competitor publicity, competitor trader’s discounts, as well as new models outlines or introductions are inessential, since they do not have a consistent effect on sales.
(B)
DV relies directly on IV. Importantly, MV is a secondary/subordinate, dependent variable impacting the DV. On the other hand, EV’s plays a vital role since they are the one used to display variables which take place/occur arbitrarily or the one which is safely overlooked or ignored. Alternatively, IVV's are utilized to indicate variables that hypothetically influence DV. But then again have not in fact been empirically within the study.
QUESTION 3.6
(C)
You observe the following condition: “Our female sales representatives have lower customer defections than do our male sales representatives.”
Propose the concepts and constructs you might use to study this phenomenon
In my opinion, the concept I can propose or create according to this phenomenon is:
Concept: knowledge, experience, as well as socialization
Construct: auctions/sales skills
Concept: depicted know-how/professionalism, distribution of knowledge, as well as social engagement
Construct: consumer presentation/performance quality
(D)
How might any of these concepts and constructs be related to explanatory hypotheses?
Arguably, the concept of male and female or sales representative might be provisional/conditional, situational, as well as behavioral independent. The female sale representative might have a perceptible or noticeable benefit according to the type of the business, or else consumer gender served (Román, & Ruiz, 2005). For instance, a woman customer who helped by the fellow male sales representative can appeal an uncomfortable or unacceptable sales connections and deal just in case the products being vented is a female undergarment. In the same way, the concept might be adversely influenced. For that reason, descriptive/explanatory hypotheses would be drawn/haggard from the abstract notion discussed above.
References
Monteiro, C. A., Levy, R. B., Claro, R. M., de Castro, I. R. R., & Cannon, G. (2010). Increasing consumption of ultra-processed foods and likely impact on human health: evidence from Brazil. Public health nutrition, 14(1), 5-13.
Román, S., & Ruiz, S. (2005). Relationship outcomes of perceived ethical sales behavior: the customer's perspective. Journal of Business Research, 58(4), 439-445.
9 years ago