Application Of Ict In Research Quiz 9 (10 MCQs)

This set of multiple-choice questions evaluates understanding of ICT applications in research, including automation benefits, cost reduction, Boolean logic, and search efficiency. It covers digital marketing, customer relationship management, business ethics, cloud services, and data analysis tools like NVIVO and statistical software. The questions reinforce practical application and real-world scenarios in academic and commercial research contexts.

Quiz Instructions

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1. E-research refers to:
2. How has ICT influenced business costs in industries?
3. What type of initiatives are universities expected to adopt for income generation?
4. What tools are mentioned as helpful for academic research?
5. Unethical use of ICT in businesses include ALL of the following except:
6. Which is the software used for qualitative research?
7. Software applications and data that are stored online and used through the internet.
8. How can Boolean operators improve online research?
9. Which part of the lesson is involved in the giving of situations or activities based on the concepts learned?
10. How can ICT support small businesses?

Frequently Asked Questions

What is the role of ICT in research?

ICT supports research by providing tools for data collection, analysis, and storage, enhancing efficiency and accuracy in the research process.

How can Boolean operators be used in research?

Boolean operators (AND, OR, NOT) help refine search queries, making it easier to find specific information in databases and online resources.

What are some examples of ICT automation in research?

ICT automation includes using software for data entry, statistical analysis, and report generation, which can save time and reduce errors.

How does cloud computing benefit research?

Cloud computing provides scalable storage and computing resources, allowing researchers to access and analyze large datasets more efficiently.

What are some ethical considerations when using ICT in research?

Ethical considerations include ensuring data privacy, avoiding bias in data collection, and using ICT tools responsibly to maintain research integrity.