Improving Customer Experience through Data-Driven Personalization in the Tourist Services Industry

These flashcards cover key concepts related to improving customer experiences through data-driven personalization in the tourism industry.

Data-Driven Personalization

A marketing strategy that uses data analytics to tailor services and experiences to individual customer preferences.

Technology Acceptance Model (TAM)

A theoretical framework that explains how users come to accept and use a technology, focusing on perceived usefulness and perceived ease of use.

Hofstede's Cultural Dimensions

A framework for understanding cultural differences across countries, which influences consumer behavior and preferences.

Customer Relationship Management (CRM)

A technology for managing a company’s relationships and interactions with current and potential customers.

Theory of Planned Behavior (TPB)

A psychological theory that links beliefs and behavior, predicting how individuals intend to behave based on their attitudes, subjective norms, and perceived behavioral control.

Mixed-Methods Approach

A research methodology that combines qualitative and quantitative data collection methods to provide a more comprehensive understanding of a research problem.

Cultural Adaptation

The process of adjusting marketing strategies to better fit the cultural preferences and expectations of a target audience.

Uncertainty Avoidance

A cultural dimension that reflects the degree to which individuals in a society prefer structured over unstructured situations.

Customer Engagement

The interaction between a brand and its customers, which can enhance customer loyalty and satisfaction.

AI-Based Personalization

Using artificial intelligence tools to tailor customer experiences based on individual preferences and behaviors.