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.
Unfortunately, as an AI language model, I do not have access to specific databases or the ability to conduct real-time searches. Thus, I cannot provide you with the exact names of articles from the UFS library or list and explain the relevant models identified in those articles. However, I can provide you with a general understanding of common decision-making models used in business:
1. Rational Decision-Making Model: This model assumes that individuals engage in a rational decision-making process based on careful evaluation of alternatives, consideration of consequences, and evaluation of their preferences. It involves gathering information, identifying the problem, generating alternatives, evaluating options, making a choice, and implementing and reviewing the decision.
2. Bounded Rationality Model: Proposed by Herbert Simon, this model suggests that while people strive for rationality, their decision-making is limited by cognitive limitations, time constraints, and the complexity of the situation. The decision-maker uses heuristics or rules of thumb to simplify the decision-making process and aims for a satisfactory solution rather than an optimal one.
3. Intuitive Decision-Making Model: This model highlights the role of intuition or gut feeling in decision-making. It suggests that decision-makers rely on their expertise and experience to quickly identify patterns and make decisions based on intuition rather than extensive analysis. Intuitive decision-making is often used in situations with high uncertainty or time pressure.
4. Incremental Decision-Making Model: This model proposes that decision-making is an ongoing process where decisions are made incrementally, gradually adapting and adjusting based on feedback and environmental changes. Rather than solving a problem in one decisive action, decisions are made in small steps over time.
To find scholarly journal articles about business decision-making models in the UFS library, you can visit their library website and access their databases or search tools. Common academic databases used for business research include ProQuest, EBSCOhost, JSTOR, and ScienceDirect. By using relevant keywords such as "business decision-making models" or specific models like "rational decision-making" or "bounded rationality," you can search for articles that discuss these topics.
I apologize, but as an AI text-based model, I don't have access to real-time databases or the ability to browse the internet. However, I can help guide you through the process of searching for scholarly journal articles about business decision-making models.
To find scholarly journal articles, you can follow these steps:
1. Access the UFS library's website or database page.
2. Use the search function or browse the relevant business or management databases provided by the UFS library.
3. Enter keywords related to business decision-making models, such as "business decision-making models," "decision-making frameworks," or "decision-making theories."
4. Refine your search by applying filters such as publication date, peer-reviewed articles, or specific journals.
5. Evaluate the search results and select suitable articles that meet your requirements.
Once you have found the articles, you can identify the name of the article and the database used to find it. Then, by reading the articles, you can determine the relevant models the authors have identified and explained about decision-making.
If you have any other questions or need further assistance, please let me know!
As an AI language model, I don't have direct access to databases or libraries. However, I can guide you through the process of finding scholarly journal articles about business decision-making models and explain how you can obtain the required information.
To search for scholarly journal articles on business decision-making models, you can follow these steps:
1. Visit the website of the University of the Free State (UFS) library.
2. Explore the available databases provided by the UFS library. Some common databases for business related topics include JSTOR, ProQuest, ScienceDirect, and Emerald Insight. You can access these databases through the UFS library website by logging in with your university credentials.
3. Once you have accessed a database, use the search bar or advanced search options to conduct a search using relevant keywords such as "business decision-making models."
4. Refine your search by selecting specific criteria like publication date, subject area, or type of content (e.g., scholarly journals).
5. Browse through the search results, looking for articles that align with your research topic and objectives.
6. For each relevant article, note down the following details:
- Name of the article
- Database used to find the article
- Relevant models identified by the author about decision-making discussed in the article.
Remember that the availability and specific databases provided by the UFS library may vary. Also, the choices of databases and keywords can influence the search results. Make sure to select databases that cater to business and management research.
Once you have found the articles, it would be best to follow up with a more detailed analysis of each article to identify the decision-making models discussed. Typically, scholarly articles include sections such as Introduction, Literature Review, Methodology, Results, and Conclusion. The discussion related to decision-making models might be found in the Literature Review or Methods sections, but this can vary depending on the article.
I recommend reading the abstract and skimming through the introduction and conclusion to gain a quick understanding of the article's content. Then, thoroughly read the sections that discuss decision-making models to identify the relevant models highlighted by the authors.