MART304 Flashcards
What is the Compensation Method
A system used to pay its employees or compensate partners, suppliers, or other stakeholders. This can include a variety of financial or non financial rewards designed to attract, motivate, and retain talent or ensure fair value exchange.
Transactional Leadership
Follows a top down format (task oriented) -> when company decisions are made solely by leadership at the top. Focuses on achievements and performance.
Transformational leadership
- brings about positive change
- providing a vision for the future
- actively involved in executing the change
Pygmalion Leadership
- higher expectations lead to an increase in performance
- starts with a leader setting positive expectations
- employees perceive themselves with these expectations
- leader communicates expectations by offering feedback and support.
Empowerment Leadership
- giving power or authority to subordinates
- self efficacy (Bandura, 1977)
- participative management (Kim, 2002)
(SPIN) Situation questions
- to collect facts and background
(SPIN) Problem questions
- to identify the problem
(SPIN) Implication questions
- to establish the effects of the problem
(SPIN) Need pay off questions
- to help see the value of the solution
Customer Relationship Management (CRM)
Is a set of integrated, data driven software solutions that help manage, track, and store information related to your company’s current and potential customers.
Forecasting
An analysis that projects the future trends, characteristics, and numbers in your specific target market. This provides your team with anticipated numbers that a company expects based on market research.
(Forecast Methods) Judgemental
- non quantitative
- naive forecast -> based on the notion that the next time period Is the same as the previous
- salesforce -> salespeople are asked to give their best estimate
(Forecast Methods) Counting
- quantitative
- test marketing -> trial order
- demand estimation -> survey research
(Forecast Methods) Time Series
- quantitative
- cancel or reduce the random variation in a time series using smoothing techniques
- techniques -> moving average, time series decomposition
(Forecast Methods) Causal
- quantitative
- scatter plot
- correlation
- regression
(SMART Goals) Specific
- set out what is to be achieved