Decision Support Systems in Hospitality

The video tutorial discusses the implementation of a Decision Support System (DSS) in hotel management, focusing on predicting guest numbers to optimize staffing and advertising. It identifies participants like hotel management and sales teams, explaining their roles in decision-making. The tutorial differentiates between structured and semi-structured decision-making, emphasizing the impact of variables like weather. It concludes with the potential effects of erroneous predictions and the responsibility of decision-makers.

What is the primary purpose of implementing a Decision Support System (DSS) in a hotel?

• To enhance guest entertainment

• To manage hotel finances

• To predict the number of guests

• To automate room service

Who are considered direct users of a Decision Support System?

• Hotel guests

• Hotel management

• Tour operators

• Local residents

What decision does the hotel management make using the DSS?

• Adjusting staffing levels

• Setting room prices

• Planning hotel renovations

• Choosing hotel decor

How does the sales team use the DSS to improve hotel operations?

• By designing new hotel amenities

• By managing hotel inventory

• By targeting advertising during low occupancy periods

• By predicting guest preferences

Why is it not always beneficial to advertise during peak periods?

• Advertising is ineffective during peak periods

• Advertising is cheaper during peak periods

• Peak periods already have high guest numbers

• Guests dislike advertisements

What type of environment does the hotel DSS typically operate in?

• Unstructured

• Chaotic

• Semi-structured

• Structured

Which factor is considered a variable affecting DSS predictions?

• Hotel decor

• Weather conditions

• Guest preferences

• Room service options

What could be a consequence of erroneous predictions by the DSS for hotel management?

• Enhanced hotel decor

• Improved room service

• Increased guest satisfaction

• Overstaffing or understaffing

What might happen if the sales team targets advertising during already popular periods?

• Improved hotel amenities

• Higher guest satisfaction

• Reduced guest complaints

• Increased advertising costs

Who is ultimately responsible for decisions made based on DSS predictions?

• The software developers

• The DSS system

• The hotel guests

• The decision-makers