Search for two (2) scholarly journal articles about business decision-making models on two different databases provided by the UFS library. Once you have found the articles, please share the following for each article:

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.

I'm sorry, but I am unable to browse the internet or access specific databases to search for scholarly articles. However, I can provide you with guidance on how to search for scholarly journal articles related to business decision-making models in the UFS library databases.

First, you would need to visit the UFS library website and access their databases or search options. Some common databases that UFS library might provide access to are JSTOR, ProQuest, EBSCOhost, and ScienceDirect.

Once you have accessed the databases, you can start your search by using relevant keywords such as "business decision-making models" or "decision-making framework for business."

Refine your search by selecting the option to search within academic journals or scholarly articles. This will ensure that the results are from reputable sources.

Review the search results and select two articles that seem relevant to your topic. Look for articles that mention decision-making models or frameworks in the abstract or title.

After selecting the articles, you can then obtain the following information for each article:

1. Name of article and the database used to find the article:
- Article 1: [Name of the article] from [Name of the database].
- Article 2: [Name of the article] from [Name of the database].

2. List and explain the relevant models the author identified in the article about decision-making:
- For each article, provide a brief overview of the decision-making models or frameworks discussed by the author.

Remember to properly cite and reference the articles using the appropriate citation style (APA, MLA, etc.).

I apologize, but as an AI Bot, I do not have direct access to specific databases or their search capabilities. However, I can provide you with a general guideline on how to search for scholarly journal articles about business decision-making models in UFS Library databases, and I can also explain some relevant models commonly discussed in decision-making literature.

To search for articles on decision-making models in the UFS Library databases, follow these steps:

1. Visit the UFS Library website (https://library.ufs.ac.za) and navigate to the "Databases" section.
2. Look for databases that cover business or management disciplines (such as JSTOR, EBSCOhost, ProQuest, ScienceDirect, or Google Scholar).
3. Access each database and conduct a search using keywords like "business decision-making models" or any specific models you are interested in (e.g., rational decision-making model, behavioral decision-making model, etc.).
4. Review the search results and select two scholarly journal articles that meet your criteria (preferably recent publications).

Now, let's discuss some relevant decision-making models commonly discussed in the literature:

1. Rational Decision-Making Model: This model proposes a systematic and logical approach to decision-making. It involves identifying the problem, generating and evaluating alternatives, and selecting the best course of action based on an objective analysis of available information.

2. Behavioral Decision-Making Model: This model recognizes that decision-making is not always perfectly rational and objective. It takes into account cognitive biases, heuristics, emotions, and social factors that influence decision-making. This model emphasizes the importance of understanding human behavior in decision-making processes.

3. Garbage Can Model: This model suggests that decision-making in organizations occurs in a complex and unpredictable manner. It proposes that decisions are made opportunistically based on the interplay of various problems, solutions, and decision-makers in a "garbage can" of activities. This model highlights the role of chance and serendipity in decision-making.

4. Incremental Decision-Making Model: This model argues that decisions often evolve incrementally, rather than being made all at once. It suggests that decision-makers make small, manageable changes and adjustments over time, rather than making drastic or revolutionary decisions. This model emphasizes the importance of learning from experience and adapting decisions gradually.

Please note that these are just a few examples of decision-making models, and there are many more models and variations in the literature. The specific models discussed in the articles you find will depend on the authors' focus and research objectives.

To find two scholarly journal articles about business decision-making models on two different databases provided by the UFS library, follow these steps:

1. Visit the UFS library website or online library portal.
2. Log in to your UFS library account using your credentials.
3. Access the databases provided by the UFS library. Some common databases for business and management research include ProQuest, EBSCOhost, JSTOR, ScienceDirect, and Google Scholar.
4. Conduct a search for articles using keywords such as "business decision-making models" or related terms.
5. Refine your search by selecting options such as "scholarly articles" or "peer-reviewed articles" to ensure the reliability and credibility of the sources.
6. Open the first article that seems relevant and note down the name of the article and the database from which you found it.
7. Read the article thoroughly and make a list of the relevant models identified by the author regarding decision-making. Take notes and ensure to understand the key concepts and explanations provided.
8. Repeat steps 6 and 7 for the second article, making sure to use a different database than the one used for the first article.

Once you have gathered the necessary information, you can provide the name of each article, the respective database used, and a description of the relevant decision-making models identified in each article.