All of these explain a change in long-run aggregate supply except: increases in business taxes. increases in productivity. changes in government spending. changes in resource prices.

Identify the management, organization, and technology factors responsible for slow adoption rates of internal corporate social networks. when a company decides to launch a social networking program the management, all need to be on board with the launch. from the ceo down to the shift or assistant manager everyone needs to know its coming and be excited. the organization of such a launch needs to be mapped out, and training provided for the new systems. within the company, they need to make sure the technology at hand (computers, tablets, and company phones), are all compatible with the system. when a company launches a new system, and the find that the employees are not adopting it, they need to investigate the reasons. is the management at all level's onboard? did we organize the launch properly? do we have the right technology for the system? things can goeither way but if

Which of the following is not a characteristic of enterprise applications that cause challenges in implementation? a. they introduce "switching costs," making the firm dependent on the vendor. b. they cause integration difficulties as every vendor uses different data and processes. c. they are complex and time consuming to implement. d. they support "best practices" for each business process and function. e. they require sweeping changes to business processes to work with the software.

Reliability and validity reliability and validity are two important considerations that must be made with any type of data collection. reliability refers to the ability to consistently produce a given result. in the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways. unfortunately, being consistent in measurement does not necessarily mean that you have measured something correctly. to illustrate this concept, consider a kitchen scale that would be used to measure the weight of cereal that you eat in the morning. if the scale is not properly calibrated, it may consistently under- or overestimate the amount of cereal that’s being measured. while the scale is highly reliable in producing consistent results (e. g., the same amount of cereal poured onto the scale produces the same reading each time), those results are incorrect. this is where validity comes into play. validity refers to the extent to which a given instrument or tool accurately measures what it’s supposed to measure. while any valid measure is by necessity reliable, the reverse is not necessarily true. researchers strive to use instruments that are both highly reliable and valid.