Search for two (2) scholarly journal articles about business decision-making models on two different databases provided by the UFS library. Provide Name of article and database used to find the article
, list and explain the relevant models the author identified in the article about decision-making.
Unfortunately, I cannot directly search for articles in specific databases. However, I can provide you with guidance on how to search for scholarly journal articles related to business decision-making models using available databases.
1. Begin by accessing the UFS library website.
2. Look for a "Databases" or "Library Resources" section on the website.
3. Explore the available databases provided by the UFS library. Some popular academic databases for business-related articles include:
- Business Source Premier: Accessible through the EBSCOhost platform, this database covers a wide range of business topics, including decision-making models.
- JSTOR: A digital library primarily focusing on humanities, social sciences, and business research.
4. Once you have selected a database, use the search bar to enter keywords related to your topic, such as "business decision-making models."
5. Refine your search results by selecting options such as "peer-reviewed articles" or "full-text availability" to ensure you are accessing scholarly journal articles.
6. Select two articles that are relevant to your research topic and contain information about business decision-making models.
Since I cannot provide actual articles from the UFS database, I will present the general models that are commonly discussed in decision-making literature:
1. Rational Decision-Making Model: This model assumes that decision-makers have perfect information, make logical decisions based on that information, and aim to maximize their objectives.
2. Bounded Rationality Model: In contrast to the rational model, this model asserts that decision-makers have limited information and cognitive capabilities, leading them to make decisions within constraints and with satisficing behavior instead of maximizing.
3. Incremental Model: This model suggests that decisions are made by building upon past experiences and progressively adjusting strategies as new information becomes available.
4. Intuitive Decision-Making Model: This model proposes that decisions are made based on rapid, intuitive judgments rather than a rational analysis.
5. Group Decision-Making Models: Various models exist for decision-making in a group setting, including the Nominal Group Technique (NGT), Delphi Technique, and Consensus Model.
Please keep in mind that the above models are general descriptions and may vary in their specifics depending on the scholarly articles you find in the UFS library databases.
To search for two scholarly journal articles about business decision-making models on two different databases provided by the UFS library, I would need access to the UFS library databases. As an AI, I do not have direct access to specific library databases. However, I can provide you with a general approach to conducting this search.
1. Begin by accessing the UFS library website or database portal.
2. Explore the different databases available to find scholarly journal articles related to business decision-making models. Examples of commonly used databases include JSTOR, ProQuest, EBSCOhost, and ScienceDirect.
3. Use keywords such as "business decision-making models" or "models for decision-making in business" to conduct your search within each database.
4. Review the search results and select two scholarly journal articles that focus on business decision-making models.
5. Note down the name of each article and the database you used to find it.
Once you have obtained the two articles, please provide me with their names and the databases they were found in. I will then be able to assist you with identifying and explaining the relevant models that the authors discussed in each article.
To search for scholarly journal articles about business decision-making models on two different databases provided by the UFS library, you will need access to the library's databases. Unfortunately, as an AI, I do not have direct access to specific library databases. However, I can guide you through the process of finding articles.
Here's a step-by-step approach to help you search for these articles:
1. Access the UFS library website: Go to the official website of the UFS library.
2. Explore the databases: Look for the databases section or search tools provided on the library website. You may find a list of available databases like EBSCOhost, JSTOR, ProQuest, or ScienceDirect.
3. Select two different databases: Choose two databases that you find relevant to your search or have a focus on business and decision-making. Each database may have its own approach and collection of articles.
4. Conduct your search: In each database, use keywords related to business decision-making models. For example, you could use search terms like "business decision-making models," "decision-making frameworks in business," or "strategic decision-making models."
5. Filter your search: Apply filters to refine your search, such as selecting scholarly or peer-reviewed articles and specifying a publication date range if needed.
Now, let's move on to identifying and explaining the relevant models highlighted in the articles. Once you have found two articles, follow these steps to evaluate them:
1. Read the abstract: Start by reading the abstract of each article. The abstract provides a summary of the article's content, including the model(s) discussed.
2. Identify the models: Look for sections in the article that explicitly discuss decision-making models. Models could be referred to as frameworks, theories, or approaches. Take note of the names of the models mentioned.
3. Analyze the models: Once you have identified the models, read the relevant sections in the article to understand how they are explained and applied. Pay attention to the assumptions, steps, and processes involved in each model.
4. Provide name of the article and database: Finally, when you have the relevant information, include the name of each article along with the database where you found it.
Remember to consult the library's guidelines and consult with a librarian if needed for detailed instructions on accessing specific databases and resources.