Answer: miscellaneous code
Explanation:
The HCPCS level II miscellaneous codes include miscellaneous not otherwise classified codes that are reported to the food and drug Administration when a durable medial equipment, prosthetics, orthotics, and supplies (DMEPOS) dealer submits a claim for a product or service for which there is no existing HCPCS level II code.
Answer:
Difficult to Imitate (I)
Explanation:
The unique microprocessors developed by the company contribute to its high resource immobility. According to the resource-based view of competitive advantage, when a company is achieving resource immobility, it allows the company to create competitive advantage.
The theory of Resource-Based View is that if Trust Machines can create a company of people, processes and technologies that cannot be easily copied or imitated by competitors it means that your resources are diverse and immobile, and it can create competitive advantage.
Answer:
Liability of un-redeemed coupons Pending on December 31, 2018 is $60,000
Explanation:
Coupon already expired issued on Jan 01, 2018
Coupon issued on 07/01/2018 <u>$830,000</u>
Estimated redeemable coupon value - 50% $415,000
($830,000 * 50%)
Less : Disbursed <u>$355,000</u>
Liability pending on Dec. 31, 2018 <u>$60,000</u>
Answer:
Collective bargaining
Explanation:
Collective bargaining is the process in which working people, through their unions, negotiate contracts with their employers to determine their terms of employment, including pay, benefits, hours, leave, job health and safety policies, ways to balance work and family, and more.
Answer:
D. Using customer's past purchase history to send information about related products and services the customer may be interested in
Explanation:
Data mining is the process whereby large pre existing databases are examined with the aim of generating new information. It is the extraction of usable data from a larger set of data. Company usually use this process to turn raw data into useful information that can be applied to their daily activities.
In the case of marketing, data mining helps in extracting useful information from a customer's purchase history in order to identify useful information on goods or services the customer may be interested in or attracted to.
