Answer: D) Behavioral CQ(Cultural intelligence)
Explanation:
Behavioral cultural intelligence is defined as intelligence that gives ability to a person for changing their verbal and non-verbal interaction skills as per cultural situation or condition.This help in learning and dealing with new cultural aspects easily for advancement.
According to the question's statement, modification in verbal and non-verbal communication technique is being depicted while interaction with different cultures.Therefore, behavioral CQ is the nature of the speaker.
Other options are incorrect because cognitive cultural intelligence, motivational cultural intelligence and meta-cognitive cultural intelligence are not depicted through question's statement.Thus, the correct option is option(D).
Answer: Incentives
Explanation:
Incentive Fees which can also be known as Performance Fees are an ADDITIONAL form.of compensation that are tied to an Employee's salary based on their level of performance or more specifically, their level of Financial return.
They can be calculated in various ways but the main goal is to encourage the employee to keep up the good work.
Endrik received the Incentive of a large bonus check for Exceeding the Sales expectations of the company. This will spur him to keep up the good work.
Answer:
Markets use prices as signals to allocate resources to their highest valued uses. ... Businesses also have dual roles—they supply goods and services and demand resources. The interaction of demand and supply in product and resource markets generates prices that serve to allocate items to their highest valued alternatives.
Explanation:
Hope this helped.. ;)
Answer:
Lamping, Inc.
The net present value of the project is:
= ($22,544)
Explanation:
a) Data and Calculations:
Cost of machine = $520,000
Useful life of machine = 7 years
Salvage value = $52,000
Cost savings = $112,000 per year
Initial working capital $6,000
Recovered working capital = $6,000
Minimum required pretax return = 14%
PV of initial costs = $526,000 ($520,000 + $6,000)
PV of costing savings (annuity) = $480,256 ($112,000 * 4.288)
PV of salvage and recovered working capital = $23,200 ($58,000 * 0.400)
Total savings/benefits = $503,456 ($480,256 + $23,200)
NPV = ($22,544)
Too many data collection channels could lead to several disparate customer sources, poor data quality, and an overwhelmed data crew.
To solve for multiple data collection channels, think about centralizing your data collection management methods by appointing a go-to data handler and systematizing your data collection strategy across departments. Your data handler can be the point of contact for data collection, ensuring data quality practices are upheld while focusing on the long-term goal.
Poor contact data
Your first challenge with loyalty programs: Get the customer to sign up. Factors such as the amount of time it takes to enter in their information and how personal the information required is, all impacts the consumer’s willingness to sign up. Not enough customers signing up understandably results in a more difficult time reaching these customers. However, sign ups mean zilch if contact data is inaccurate, as that also results in the inability to reach customers.
Solution: Implement a data quality solution. Our latest Global data management report found that the biggest ways poor data quality impacts retailers are wasted resources (45%), damages the reliability of analytics (39%), and negatively impacts reputation (35%). Whether you want to use data quality for predictive analytics to optimize consumer experience or implement a data cleansing tool, like address or email verification, taking control of your data will equip you with actionable and real-time insights.
3. Not having a data-driven culture
There is a sharp correlation between increased company profits and the amount of data quality solutions that are put in place. Not emphasizing data quality in your business can cost you far-reaching consequences, such as customer engagement, loyalty, and revenue.
Solution: Data quality should be prioritized as a key business focus. Loyalty programs need to be built on a solid foundation of data, but what does a good data foundation look like?
• Cleaning your existing data.
• Consolidating and deduping records.
• Ensuring newly collected data is accurate before it enters into CRM and other systems.
Reliable, clean data represents an opportunity to better understand your customers, drive actionable insights and optimize customer or prospect experience. When loyalty programs are the key to increasing revenue, customer retention, and lifetime value, you want to make sure your data quality initiatives are up to par.