MARATTO

article · African Journal of Hospitality Tourism and Leisure

Assessment of Co-Joint Factors Influence on Guests' Choice of Fine Dining Restaurants in Kenya

20222 citationsOpen accessMurang'a University of Technology

Abstract

There is limited data and studies that have assessed the co-joint influence of social media applications, social demographic, and individual factors on guests' choice of fine dining restaurants. Previous studies have shown increased use of social media applications by consumers and subsequently influenced decision-making. Thus, need for innovation to meet consumer expectations. A mixed-method approach was used to assess co-joint factors of influence on guests' choice of fine dining restaurants in Kenya. Questionnaires were used to collect quantitative data from purposively selected guests. Data were subsequently analyzed and presented in the form of descriptive and inferential statistics. Testing of the null hypothesis was also conducted. The calculated value of R-squared implies that the remaining variations or determinants in the choice of fine dining restaurants are attributed to factors other than the composite variable. Besides the significant influence of social media applications, there are other factors attributable to guests' selection process. This study contributes to the theory of consumer behaviour in the larger hospitality and tourism industry. The study further reveals new dimensions on the selection of restaurants' products and services. In this direction, managers and owners of restaurants need to embrace more technology in their businesses.

Research topics

  • Digital Marketing and Social Media
  • Consumer Behavior in Brand Consumption and Identification
  • Diverse Aspects of Tourism Research

Sustainable Development Goals

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.46222/ajhtl.19770720.224

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.